United States
            Environmental Protection
            Agency
           Roberts Kerr Environmental Research EPA-600 2-79-020
           Laboratory           January 1979
           Ada OK 74820
            Research and Development
&EPA
Selected  Irrigation
Return Flow
Quality Abstracts
1977
            Seventh Annual
            Issue

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                RESEARCH REPORTING SERIES

Research reports of the Office of Research and Development, U.S. Environmental
Protection Agency, have been grouped into nine series. These nine broad cate-
gories were established to facilitate further development and application of en-
vironmental technology Elimination of traditional grouping was consciously
planned to foster technology transfer and a maximum interface in related fields.
The nine series are:

      1   Environmental Health  Effects Research
      2   Environmental Protection Technology
      3   Ecological Research
      4   Environmental Monitoring
      5   Socioeconomic Environmental  Studies
      6.  Scientific and Technical Assessment Reports (STAR)
      7.  Interagency Energy-Environment Research and Development
      8.  "Special" Reports
      9.  Miscellaneous Reports

This report has  been assigned  to the  ENVIRONMENTAL PROTECTION TECH-
NOLOGY series. This series describes research  performed to develop and dem-
onstrate instrumentation, equipment, and methodology to repair or prevent en-
vironmental degradation from point and non-point sources of pollution. This work
provides the new or improved technology required for the control and treatment
of pollution-sources to meet environmental quality standards.
This document is available to the public through the National Technical Informa-
tion Service, Springfield. Virginia  22161.

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                                          EPA-600/2-79-020
                                          January 1979
         SELECTED IRRIGATION RETURN FLOW
             QUALITY ABSTRACTS 1977

              Seventh Annual Issue
                       by
              Gaylord V. Skogerboe
                Stephen W. Smith
                 Wynn R. Walker
                   Sue Eastman
            Colorado State University
          Fort Collins, Colorado  80523
               Grant No. R-800426
                 Project Officer

                  Alvin L. Wood
            Source Management Branch
Robert S. Kerr Environmental Research Laboratory
              Ada, Oklahoma  74820
ROBERT S. KERR ENVIRONMENTAL RESEARCH LABORATORY
       OFFICE OF RESEARCH AND DEVELOPMENT
      U.S. ENVIRONMENTAL PROTECTION AGENCY
              ADA, OKLAHOMA  74820

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                          DISCLAIMER
     This report has been reviewed by the Office of Research
and Development, U.S. Environmental Protection Agency, and
approved for publication.  Approval does not signify that the
contents necessarily reflect the views and policies of the
U.S. Environmental Protection Agency, nor does mention of trade
names or commercial products constitute endorsement or
recommendation for use.
                              .11

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                           FOREWORD
     The Environmental Protection Agency was established to
coordinate administration of the major Federal programs designed
to protect the quality of our environment.

     An important part of the Agency's effort involves the
search for information about environmental problems, management
techniques and new technologies through which optimum use of the
Nation's land and water resources can be assured and the threat
pollution poses to the welfare of the American people can be
minimized.

     EPA's Office of Research and Development conducts this
search through a nationwide network of research facilities.

     As one of these facilities, the Robert S. Kerr Environmental
Research Laboratory is responsible for the management of programs
to:  (a) investigate the nature, transport, fate and management
of pollutants in groundwater; (b) develop and demonstrate methods
for treating wastewaters with soil and other natural systems;
(c) develop and demonstrate pollution control technologies for
irrigation return flows; (d) develop and demonstrate pollution
control technologies for animal production wastes;  (e) develop
and demonstrate technologies to prevent, control or abate pollu-
tion from the petroleum refining the petrochemical industries;
and (f) develop and demonstrate technologies to manage pollution
resulting from combinations of industrial wastewaters or
industrial/municipal wastewaters.

     This report contributes to the knowledge essential if the
EPA is to meet the requirements of environmental laws that it
establish and enforce pollution control standards which are
reasonable, cost effective and provide adequate protection for
the American public.
                               William C. Galegai
                               Director
                               Robert S. Kerr Environmental
                                 Research Laboratory
                              111

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                            PREFACE


     The seventh annual issue of SELECTED IRRIGATION RETURN
FLOW QUALITY ABSTRACTS has been compiled from approximately_100
sources of material covering calendar year 1977.  This compila-
tion has attempted to include technological and institutional
articles that would be pertinent to action programs regarding
the control of water quality degradation resulting from irrigated
agriculture.

     The state-of-the-art report, "Characteristics and Pollution
Problems of Irrigation Return Flow," prepared by the Utah State
University Foundation, contains a bibliography of articles perti-
nent to Irrigation Return Flow Quality through 1967.  The first
annual issue of SELECTED IRRIGATION RETURN FLOW QUALITY ABSTRACTS
listed publications appearing in calendar years 1968 and 1969,
while the second annual issue listed publications appearing in
calendar years of 1970 and 1971, the third annual issue contained
abstracts of articles and reports published during calendar
years 1972 and 1973, and the fourth, fifth, and sixth annual
issues contained abstracts of 1974, 1975, and 1976 publications.
The seventh annual issue contains 731 abstracts of documents
published during calendar year 1977.  The abstracts have been
placed into sections according to the category and subgroup
classifications used by the Water Resources Scientific Informa-
tion Center (WRSIC)  as published in'the report, "Water Resources
Thesaurus."  The abstracts have been forwarded to WRSIC for
inclusion in their bi-monthly publication, "Selected Water
Resources Abstracts."
                                IV

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                            ABSTRACT
     Research related to the quality of irrigation return flow
is being conducted at numerous institutions throughout the
western United States.  Related work is also underway at other
institutions in the United States, as well as other portions of
the world.  Approximately 100 sources of material have been
searched for articles pertinent to the Irrigated Crop Production
research and development program.  These articles describe water
quality problems resulting from irrigated agriculture, potential
technological solutions for controlling return flows, recent
research pertinent to return flow investigations, and literature
associated with institional constraints in irrigation return flow
quality control.

     The first annual issue of SELECTED IRRIGATION RETURN FLOW
QUALITY ABSTRACTS covered publications printed in 1968 and 1969,
while the second annual issue lists publications printed in 1970
and 1971, the third annual issue covers calendar years 1972 and
1973, and the fourth, fifth, and sixth annual issues cover liter-
ature published in 1974, 1975, and 1976.  This annual issue lists
publications printed in 1977.  This report was submitted in ful-
fillment of Grant No. R-800426 under the sponsorship of the
Office of Research and Development, U.S. Environmental Protection
Agency.

     Key Words:  Fertilizers, Irrigated land, Irrigation Systems,
Irrigation water, Nitrates, Phosphates, Return flow, Salinity,
Water pollution effects, Water pollution sources, Water quality
control.
                                v

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                        TABLE OF CONTENTS
Foreword .  . . ,
Preface  .  . . ,
Abstract .  . .
Acknowledgments
                                                     .  111
                                                       iv
                                                        v
                                                     •viii
    I
   II
  III

   IV
    V
   VI
  VII
 VIII
   IX
    X
   XI

  XII

 XIII

  XIV

   XV

  XVI

 XVII

XVIII

  XIX

   XX

  XXI

 XXII
WATER CYCLE - Precipitation  (Group 02B)  	  ,
WATER CYCLE - Snow, Ice, and Frost (Group 02C).  .  ,
WATER CYCLE - Evaporation and Transpiration  (Group
02D)  	,
WATER CYCLE
WATER CYCLE
WATER CYCLE
WATER CYCLE
WATER CYCLE
WATER CYCLE
              Streamflow and Runoff  (Group 02E)  .  .  ,
              Groundwater (Group 02F) 	  ,
              Water in Soils (Group  02G)	,
              Water and Plants  (Group 021)	,
              Erosion and Sedimentation (Group 02J)  ,
              Chemical Processes (Group 02K)   .  .  .  ,
WATER CYCLE - Estuaries (Group 02L)  	  .
WATER SUPPLY AUGMENTATION AND CONSERVATION - Saline
Water Conversion (Group 03A)	
WATER SUPPLY AUGMENTATION AND CONSERVATION - Water
Yield Improvement  (Group 03B)  	  ,
WATER SUPPLY AUGMENTATION AND CONSERVATION - Use of
Water of Impaired Quality (Group 03C) 	
WATER SUPPLY AUGMENTATION AND CONSERVATION - Con-
servation in Agriculture (Group 03F)  	  .
WATER QUANTITY MANAGEMENT AND CONTROL - Control of
Water on the Surface  (Group 04A)	,
WATER QUANTITY MANAGEMENT AND CONTROL - Groundwater
Management  (Group 04B)	,
WATER QUANTITY MANAGEMENT AND CONTROL - Watershed
Protection  (Group 04D)  	  ,
WATER QUALITY MANAGEMENT AND PROTECTION - Identi-
fication of Pollutants (Group 05A)	,
WATER QUALITY MANAGEMENT AND PROTECTION - Sources
and Fate of Pollution (Group 05B)	,
WATER QUALITY MANAGEMENT AND PROTECTION - Effects of
Pollution (Group 05C) 	
WATER QUALITY MANAGEMENT AND PROTECTION - Waste
Treatment Processes  (Group 05D) 	
WATER QUALITY MANAGEMENT AND PROTECTION - Ultimate
Disposal of Wastes  (Group 05E)	
  1
  2

  3
  8
 11
 30
 92
 99
115
117

118

119

120

122

163

177

183

186

191

213

215

219
                               VI1

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 XXVII  WATER QUALITY MANAGEMENT AND PROTECTION - Water
        Quality Control  (Group 05G) 	
XXVIII  WATER RESOURCES AND PLANNING - Techniques of
        Planning  (Group 06A)	
  XXIX  WATER RESOURCES PLANNING - Evaluation Process
        (Group 06B)  	
   XXX  WATER RESOURCES PLANNING - Cost Allocation,
        Cost Sharing, Pricing/Repayment  (Group 06C)  .  •  •  •
  XXXI  WATER RESOURCES PLANNING - Water Demand  (Group 06D)
 XXXII  WATER RESOURCES PLANNING - Water Law and Institu-
        tions  (Group 06E)  	
 XXIII  RESOURCES DATA - Data Acquisition  (Group 07B)  .  .  -
   XXV  ENGINEERING WORKS  - Structures  (Group 08A)	
  XXVI  ENGINEERING WORKS  - Hydraulics  (Group 08B).  .  .  .  •
XXXIII  ENGINEERING WORKS  - Hydraulic Machinery  (Group 08C)
 XXXIV  MANPOWER, GRANTS,  AND FACILITIES - Research
        Facilities  (Group  09C)	
  XXXV  AUTHOR INDEX	
 XXXVI  SUBJECT INDEX  	
220

234

237

238
239

240
245
258
259
265

266
267
285
                                Vlll

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                        ACKNOWLEDGMENTS
     The excellent cooperation of the reading room staff at the
Engineering Research Center and the library staff at Colorado
State University has been very important in accomplishing the
work reported herein.

     The efforts of Ms. Sue Eastman, Ms. Mary Lindburg, and
Ms. Melanee Lowdermilk in preparing the necessary forms which
are forwarded to the Water Resources Scientific Information
Center are sincerely appreciated, as well as the typing of this
final report.

     The scope of this literature abstracting effort has been
delineated jointly by the senior author and project officer,
Mr. Alvin L. Wood, Source Management Branch, Robert S. Kerr
Environmental Research Laboratory, Environmental Protection
Agency, Ada, Oklahoma.  The cooperative efforts of the Project
Officer in meeting with project personnel and reviewing the
abstracting process have been very helpful and are sincerely
appreciated.
                               IX

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                                   SECTION I


                                   WATER CYCLE

                            PRECIPITATION  (GROUP 02B)


77:02B-001
EFFECTS OF SOIL, COVER CROP, AND NUTRIENT SOURCE ON MOVEMENT OF SOIL, WATER, AND
NITROGEN UNDER SIMULATED RAIN-SLOPE CONDITIONS,
Hoyt, G.D., McLean, E.O., Reddy, G.Y., and Logan, T.J.
Ohio Agricultural Research and Development Center, Wooster, Ohio.
Journal of Environmental Quality, Vol. 6, No. 3, p 285-290, July-September, 1977.
2 fig, 7 tab, 22 ref.

Descriptors:  *Soil erosion, *Runoff, *Simulated rainfall, *Model studies, *0hio,
Fertilizers, Soils, Nitrogen, Phosphorus, Potassium, Farm wastes, Crops, Slopes,
Ureas, Rainfall intensity, Time, Leachate, Erosion, Soil contamination.

Nitrogen, P, and K as manure, chemical fertilizers + straw, or chemical fertilizers
alone were added to microplots of soils, which were then either cropped to wheat
or left bare, and finally subjected to simulated rainfall.  The N, P, and K were
each applied at 224 kg/ha in the forms of:   (1) N- and P-enriched cow manure (7.35
metric tons/ha, dry weight); (2) urea, triple-superphosphate (TSP) , and KC1 + straw
at the same weight of dry matter as the manure; and  (3) fertilizers alone.  A 5-day
rainfall sequence was imposed with varying intensities, durations, and soil slopes.
The movement of N generally increased as the quantities of solids, runoff, and
leachate increased.  Where discrepancies occurred, they could usually be explained
by differences in structure, crusting of the soils, or clogging of their pores by
manure, or by effects of straw on soil permeability to water or on increased micro-
bial activity.  In general, almost all the mineral N moving in the leachate, and
about half of.that moving in runoff, was in N03 form.


77:02B-002
COMPUTATION OF INFILTRATION FOR UNSTEADY UNINTERRUPTED HIGH RAINFALL,
Morel-Seytoux, H.J., Pick, T.A., and Jonch-Clausen, T.
Colorado State University, Engineering Research Center, Fort Collins, Colorado.
Journal of Hydrology, Vol. 35, No. 3/4, p 221-234, November 1977.  7 fig, 1 tab,
21 ref.

Descriptors:  *Infiltration, *Rainfall, *Model studies. Mathematical models,
Precipitation  (atmospheric), Ponding, Runoff, Equations, Formulas, Hydrographs,
Hydraulic conductivity, Precipitation intensity, Precipitation excess, Soils,
Soil water movement, Percolation, Permeability, Soil properties, Rainfall patterns.

The use of previously proposed formulas for rainfall infiltration demonstrated
the sensitivity of the response hydrographs to the rainfall pattern.  For steady
rainfall, the proposed formulas of ponding time and of infiltration rate after
ponding were verified by comparison with experimental data.  For unsteady rain-
fall, inspection of the formulas indicated that they may be in serious error for
low-intensity rains of long duration.

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                                  SECTION  II


                                   WATER CYCLE

                        SNOW, ICE,  AND FROST (GROUP O2C)


77:02C-001
WATER AND ICE POTENTIALS IN FROZEN  SOILS,
Groenevelt, P.H., and Kay, B.D.
Guelph University, Department of Land Resource Science, Ontario, Canada.
Water Resources Research, Vol. 13,  No. 2, p 445-449, April 1977.  3 fig, 19 ref.

Descriptors:  *Frozen soils, *Moisture content, *Ice, *Model studies, Mathematical
models, Porous media, Soils, Soil water, Voids, Hysteresis, Temperature, Freezing,
Frozen ground, Frost, Frost action.

The envelope pressure potentials of the liquid water and ice in a frozen soil were
identified.  The envelope pressure  potential of liquid water is a generalization
of the definition of the envelope pressure potential (overburden potential) of the
water in an unfrozen swelling soil.   In order to express the envelope pressure
potentials in terms of volume ratios, use was made of the void ratio, the moisture
ratio equivalent, and the ice ratio equivalent.  A new development was initiated
by the formulation and derivation of the frost potential of both the liquid water
and the ice.  These frost potentials were expressed in terms of the ice ratio,
the moisture ratio, the ice ratio equivalent,  and the moisture ratio equivalent.
The relations between these variables are intrinsic properties of the porous
medium which have to be determined  experimentally.

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                                  SECTION III


                                   WATER CYCLE

                    EVAPORATION AND TRANSPIRATION (GROUP 02D)


77:020-001
DETERMINATION OF REGIONAL EVAPOTRANSPIRATION FROM UPPER AIR METEOROLOGICAL DATA,
Mawdsley, J.A.,  and Brutsaert, W.
Cornell University, School of Civil and Environmental Engineering, Ithaca, New York.
Water Resources Research, Vol. 13, No. 3, p 539-548, June 1977.  6 fig, 7 tab,
27 ref, 1 append.

Descriptors:  *Evapotranspiration, *Estimating, *Nebraska, *Iowa, Model studies,
Mathematical models, Atmosphere, Weather data, Meteorological data, Hydrologic
aspects, Boundary processes, Boundary layers, Evaporation, Equations, Data pro-
cessing, Analysis, Theoretical analysis, Analytical techniques, Watersheds (basins),
Correlation analysis, Monthly.

A procedure, recently proposed by the authors to calculate actual evapotranspira-
tion on the basis of parameterization of the atmospheric boundary layer, was ap-
plied for the period April through November 1969-1972 with upper air ("rawin-
sonde") meteorological data from Omaha, Nebraska.  The accuracy of the 1-day, 3-
day, weekly, and monthly evapotranspiration totals was assessed by comparing them
to evapotranspiration data estimated by a suitable adjustment of potential evapo-
transpiration from a nearby catchment in the Treynor basins.  Several alternative
methods for determining the height of the boundary layer and the wind speed at the
top of the boundary layer were used: as a result, seven variations of the basic
procedure were tested.  The similarity functions for water vapor D were found to
be smaller than the corresponding functions for sensible heat C, not equal as was
assumed previously.  Difficulties were encountered, since published upper air
humidity data were in error: nevertheless, the method was successful on a monthly
basis with a correlation coefficient of the order of 0.83, but far less successful
on a daily basis.  The recommended version of the method used the height of the
temperature inversion as an estimate of the boundary layer height and the mea-
sured wind as the estimate of the boundary layer height and the measured wind as
the estimate of the wind speed at the top of the boundary layer.


77:02D-002
EFFECT OF INCREASING FOLIAGE REFLECTANCE ON THE C02 UPTAKE AND TRANSPIRATION RE-
SISTANCE OF A GRAIN SORGHUM CROP,
Moreshet, S., Stanhill, G., and Fuchs, M.
Volcani Institute of Agricultural Research, Division of Agricultural Meteorology,
Bet-Dagan (Israel).
Agronomy Journal, Vol. 69, p 246-250, March-April, 1977.  6 fig, 3 tab, 7 ref.

Descriptors:  *Reflectance, *Leaves, *Photosynthesis, *Transpiration control,
*Grain sorghum, Solar radiation, Dry farming, Crop response, Crop production,
Spectrophotometry, On-site tests.

Two years of field studies of labeled C02 uptake rates on kaolin-sprayed and un-
sprayed sorghum leaves indicated the coating caused a 23% decrease in net photo-
synthesis similar to the 26% reduction of solar radiation absorption detected
with a spectrophotometer after spraying.  Measurements were made during the rain-
less summers of 1973 and 1974 on an unirrigated sorghum crop  (.Sorghum bicolor
L. Moench 'Hazera 726') in the Lakhish area of Israel.  Grain yield increases
had occurred after whitening of the crop canopy.  Decreased photosynthesis per-
sisted for several weeks and was greater 6 weeks after the last kaolin appli-
cation.  Most leaves had a slightly increased leaf resistance as well as reduced
C02 uptake;  both effects were accentuated by high insulation.  Enhanced sene-
scence of the kaolin-coated leaves was confirmed by measurements of the dynamics
of light-dependent C02 uptake of leaves of different ages using neutral filters
and independent measurements of green leaf area.  However, field measurements

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with a diffusion porometer indicated only slight reductions in the leaf surface
diffusion resistance of coated leaves.  A possible explanation is presented to
reconcile the decrease in photosynthesis with the observed grain yield increase
of treated sorghum.


77:02D-003
ASSESSMENT OF WATER LOSS PATTERNS WITH MICROLYSIMETERS,
Rogowski, A.S., and Jacoby, E.L., Jr.
Agricultural Research Service, Northeast Watershed Research Center,- University
Park, Pennsylvania.
Agronomy Journal, Vol. 69, No. 3, p 419-424, May-June, 1977.  5 fig, 3 tab, 4 ref.

Descriptors:  -*Evapotranspiration, *Lysimeters, *Soil water, *Water loss, Soil
water movement, Measurement, On-site tests, Laboratory tests, Nuclear moisture
meters, Model studies.

In order to develop a practical method of evaluating evapotranspiration (ET) in the
field, portable cylindrical grass-growing lysimeters were constructed and tested
on a 58-ha watershed.  A laboratory check indicated there was no loss of flow con-
tinuity with periodic lysimeter removal at high soil water levels.  A field check
proved feasibility for field use and indicated no significant differences in ET
between different segments of a small study area.  The watershed study also in-
cluded gamma-probe measurements and ET predictions with a Blackland ET model.  A
number of strategically placed microlysimeters may estimate an ET component over
a larger area as long as the predominant rooting depth is about 30 cm.  Only very
stony and wooded sites presented ET estimation problems for any of the three
methods.


77:020-004
EVAPORATION AND SALT MOVEMENT IN SOILS IN THE PRESENCE OF WATER TABLE,
Hassan, F.A., and Ghaibeh, A. Sh.
Alexandria University, Department of Soils and Water Science, Alexandria, (Egypt).
Soil Science Society of America Journal, Vol. 41, No. 3, p 470-478, May-June,
1977.  8 fig, 3 tab, 6 ref.

Descriptors:  *Soil moisture, *Evaporation, *Salts, Soil water, Soil water move-
ment, Model studies, Mathematical models, Laboratory tests, Loam, Clays, Foreign
countries, Soils, Foreign research, Profiles, Soil profiles, Moisture tension,
Hydraulic conductivity, Tensioraeters, Soil physics, Soil science.

Evaporation from homogeneous and stratified columns, in the presence of shallow
water table, at steady-state, was examined.  Soils from Syria and Egypt were used.
The hydraulic conductivity-moisture tension curves of the soils were determined
and were fitted to smooth curves represented by Gardner's empirical formula.
Solutions obtained by Gardner for the steady flow equations were modified for the
boundary conditions of the top and bottom layers, and then the solutions were
reduced to a dimensionless form with two variables, the relative flux density
and the relative tension at the interface.  The resulting equations were used to
calculate the evaporation rates.  Salt profiles near the surface, at different
evaporation rates, also were studied.  In case of homogeneous soil columns,
the calculated values gave close estimates of the measured evaporation rates.
However, the ratio of "the calculated to measured rates was 1.3 to 1.6 for
stratified columns.  The salt profiles in the top dry layer indicated the
polyphasic nature of water movement in the top zone.  The observed increase
in the dispersion coefficient with the solution velocity was more pronounced
in soils of wider range of pore size.
77:020-005
EVALUATION OF AN EVAPOTRANSPIRATION MODEL FOR CORN,
Rosenthal, W.D., Kanemasu, E.T., Raney, R.J., and Stone, L.R.
Kansas State University, Department of Agronomy, Manhattan, Kansas.
Agronomy Journal, Vol. 69, No. 3, p 461-464, May-June, 1977.  4 fig, 1 tab, 16 ref.

Descriptors:  *Evapotranspiration, *Model studies, *Corn (field), *Kansas, *Soil
water, On-site tests, Computer models, Input-output analysis, Irrigation practices,
Meteorological data, Withdrawal, Soil profiles, Crop response.

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An empirical evapotranspiration model was developed and tested  for corn  (Zea
mays (L.) cv. Dekalb XL72A) grown on two sites  in Kansas;  soil  water estimates
determined by the computerized model were compared with neutron attenuation
estimates.  Required daily inputs for the model include leaf area index,  solar
radiation, effective precipitation and maximum  and minimum air  temperatures;
outputs include transpiration, evaporation, advective  contribution and soil
water content.  Model estimates were within 6%  of neutron  attenuation estimates
during the growing season.  The greatest water  use efficiency and yield was
achieved with an irrigation treatment involving 40% depletion of the maximum
available water in the 150-cm profile.  The model used has potential in scheduling
irrigation on corn since required meteorological inputs can be  routinely  ob-
tained at the field site.  Leaf area index must be measured, estimated from remote
sensing techniques, or simulated from leaf growth models.


77:020-006
SURFACE ROUGHNESS OF CROPS AND POTENTIAL EVAPOTRANSPIRATION,
Slabbers, P.J.
International Institute for Land Reclamation and Improvement, Wageningen  (Nether-
lands) .
Journal of Hydrology, Vol. 34, No. 1/2, p 181-191, July 1977.   5 fig, 4 tab,  25 ref.

Descriptors:  *Evapotranspiration, *Roughness coefficient,  *Crops, Winds, Grasses,
Climatology, Arid climates, Wind velocity. Foreign countries, Foreign research.

A roughness  function for grass was derived by Rijtema  for  climatological  condi-
tions  in  The Netherlands.  The function depends on wind speed and crop length and
was used  to determine the  aerodynamics resistance of grass when calculating po-
tential evapotranspiration.  An analysis was made of data  collected in southern
Iran and  of data that had  been published for northern  Iran, Lebanon, and  Tunisia
to determine whether the function also could be used in calculating crop  water
requirements under semi-arid and arid conditions.  Except  for some deviating  data
for which explanations were presented, agreement was obtained for all crops tested
against  the  original relationship for grass.  The importance of taking crop rough-
ness into account in the combination equation,  especially  for relatively  tall crops,
was stressed.


77:020-007
WATER  REQUIREMENTS FOR MESQUITE  (PROSOPIS JULIFLORA),
Tromble,  J.M.
Agricultural Research Service, Southwest Watershed Research Center, Tucson, Arizona.
Journal  of Hydrology, Vol. 34, No. 1/2, p 171-179, July 1977.   4 fig, 2 tab,  11 ref.

Descriptors:   *Water requirements, *Mesquite, *Evapotranspiration, Runoff, Indexing,
Water  users, Water table,  Vegetation, Water resources, Water utilization.

Evapotranspiration  (ET)  determined by different investigators,  compared with  values
determined by  the White  and Troxell methods, showed  that their  values provided rea-
sonable  estimates and that utilizing diurnal water table fluctuations furnished a
method of computing ET with less than 100% vegetation  density.   Average daily max-
imum ET  rates  for June were calculated, and ratios were compared with values  from
other  independent studies.  Since ET rates, determined by  White and Troxell meth-
ods,  indicated  plausible values of water use when compared to other independent
studies,  the ET rates could be considered index values useful as guidelines for
water  abstracted by mesquite.  Water table elevation measurements on a shallow
perched  aquifer under a mesquite thicket were used to  calculate ET for time periods
when  the  water  table elevation varied diurnally- Average  daily maximum ET values
for June, when annual ET rates were highest, for the three years as predicted by
the daily rate,  White and  Troxell methods were  1,  61,  10.10 and 12.17 mm, respec-
tively -


77:020-008
SAP STREAM VELOCITY AS AN  INDICATOR OF THE TRANSPIRATIONAL PROCESS,
Balek, J., and Pavlik, 0.
Ceskoslovenska  Akademie  Ved,  Institute of Hydrodynamics, Prague.
Journal  of Hydrology, Vol.  34, No. 1/2, p 193-200, July  1977.   4 fig,  6  ref.

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 Descriptors:   *Transpiration,  *Meteorological data, *Temperature, Water circu-
 lation,  Radiation,  Pressure, Rainfall, Heat flow, Foreign countries, Foreign
 research.

 Continuous  long-term measurements of the spruce sap stream velocity and meteoro-
 logical  phenomena  observed  in  the Sumava region, Czechoslovakia, indicated two
 different relationships between  sap stream velocity as a dependent variable and
 meteorological factors as independent variables.  For mean daily temperatures
 above  6  C,  the net radiation was found to be the most decisive factor; while for
 the  temperatures below 6 C, the  duration of rainfall during each particular day
 was  found to  be the most significant.  Comparative results for the popular tree
 were provided.  The results served as a transpiration variability indicator for
 the  water balance  circulations.


 77:02D-009
 MODELING SOIL WATER MOVEMENT INTO PLANT ROOTS,
 Slack, D.C.,  Haan,  C.T., and Wells, L.G.
 Minnesota University, Department of Agricultural Engineering, St. Paul, Minnesota.
 Transactions  of the American Society of Agricultural Engineers, Vol. 20, No. 5,
 p 919-927,  933, September-October 1977.  7 fig, 1 tab, 48 ref.

 Descriptors:   *Soil water movement, *Soil-water-plant relationships, *Evapo-
 transpiration,  *Corn  (field),  Root systems, Leaves, Plant physiology, Labora-
 tory tests, Model  studies. Mathematical models, Soil water, Soil properties,
 Hydraulic conductivity, Evaporation, Agriculture.

 A mathematical model was developed which describes uptake of water by plant roots
 as a function of leaf and soil water potentials.  The model was used to estimate
 transpiration from corn grown  in a controlled environment under soil drying con-
 ditions.  The model predicted  daily transpiration quite well for the period
 modeled.


 77:020-010
 IMPROVING WATER USE IN SPRINKLING FOR BLOOM DELAY,
 Barfield, B.J., White, G.M., Bridges, T.C., and Chaplin, C.
 Agriculture Engineering Department, Horticulture Department, University of Ken-
 tucky, Lexington,  Kentucky.
 Transactions  of the American Society of Agricultural Engineers, Special Edition,
 Vol. 20SW, p  688-691, 696, August 20, 1977.  5 fig, 8 ref, 1 equ.

 Descriptors:   Sprinkler irrigation, Cooling, Peaches, Fruit crops, Evaporation,
 Mist, Transpiration, Frost protection.

 Bud  development was delayed on Redhaven peach trees in 1975 by using evaporative
 cooling  from  sprinkler irrigation when bud temperatures exceeded 4.4 C.  104 cm
 of water were  applied.  Analysis was made of the potential reduction in water use
 and  cooling that would have been obtained if sprinkling had been initiated at bud
 temperatures  ranging from 4.4  to 9 C whenever cooling potential existed.  Cooling
 potential was measured by the difference between dry bulb temperature and wet bulb
 temperature.  The optimum set points for initiating sprinkling were found to be a
 dry  bud temperature of 6.7 C and a cooling potential of 2.0 C,


 77:020-011
 A SIMPLIFIED MODEL  OF CORN GROWTH UNDER MOISTURE STRESS,
 Childs, S.W., Gilley, J.R., and Splinter, W.E.
 Agricultural Engineering Department, University of Nebraska, Lincoln, Nebraska.
 Transactions of the American Society of Agricultural Engineers, Special Edition,
 Vol.  20SW,  p  858-865, October  20, 1977.  7 fig, 3 tab, 21 ref, 15 equ.

 Descriptors:  Mathematical models, Soil moisture, Corn, Transpiration, Soil-plant-
water relationships, Evaporation, Plant growth, Crop production, Nebraska, Water
 conservation, Hydraulic conductivity.

A mathematical model was developed to simulate the environmental and physiological
processes involved  in the growth of corn.  Grain yields were accurately predicted
even where inadequate irrigation caused decreased yield.  Some predictions of crop

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growth patterns indicated that all of the dynamics of crop growth are not yet
modeled in sufficient detail.  However, the accuracy of growth trends in general
indicate that the model has considerable predictive power.

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                                    SECTION IV


                                   WATER CYCLE

                        STREAMFLOW AND RUNOFF (GROUP O2E)


 77:02E-001
 PRINCIPLES OF GRAPHICAL GRADUALLY VARIED FLOW MODEL,
 Kouwen, N., Harrington, R.A., and Solomon, S.I.
 Waterloo University.- Department of Civil Engineering, Ontario, Canada.
 Journal of the Hydraulics Division, American Society of Civil Engineers,
 Vol.  103, No. HY5, Proceedings Paper 12939, p 531-541, May 1977.  7 fig, 5 ref,
 2 append.

 Descriptors:  *Backwater, *Model studies, *Flow, *Graphical analysis, Computers,
 Gradually varied flow, Graphical methods, Hydraulics, Open channel flow, Flow
 profiles, Equations, Rivers.

 Any gradually varied flow computation requires the solution of the energy and
 continuity equations.  To this end, many techniques are available.  For prismatic
 channels, the Direct Step Method gives a result without requiring iteration.  How-
 ever, for nonprismatic channels, it is necessary to resort to some variation of
 the Standard Step Method, thereby requiring some iterative procedure.  A graphical
 solution, using a simple program to construct a set of curves, can eliminate iter-
 ation as well as retain  flexibility with regard to  flow variations along the
 reach.  To accomplish this, a graphical solution of the energy equation was pre-
 sented which uses hydraulic transform graphs for river cross sections along a
 reach.


 77:02E-002
 EVALUATION OF THE COMPONENTS OF THE USDAHL-74 MODEL OF WATERSHED HYDROLOGY,
 Hanson, C.L.
 United States Department of Agriculture, Agricultural Research Service, Department
 of Agricultural Engineering, Boise, Idaho.
 Presented at the 1977 Winter Meeting of the American Society of Agricultural
 Engineers, December 13-16, 1977, Palmer House Hotel, Chicago, Illinois, p 1-8.
 7 fig, 4 tab, 8 ref.

 Descriptors:  Model studies, Hydrology, Simulation analysis, Soil water, Runoff,
 Idaho, Computer programs.

 The USDAHL-74 revised model of watershed hydrology was evaluated on an 83-ha
 arid rangeland watershed in southwest Idaho.  The model simulated soil water
 adequately,  except during periods in late summer and fall.  The model did not
 adequately simulate runoff.


 77:02E-003
AGRICULTURE RUNOFF MANAGEMENT (ARM) MODEL—VERSION II.  REFINEMENT AND TESTING,
Donigian,  A.S.,  Jr., Beyerlein,  D.C., Davis, H.H., Jr., and Crawford, N.H.
Hydrocomp,  Incorporated, Palo Alto, California   94304.
Publication No.  EPA-600/3-77-098, August 1977.  294 p, 108 fig, 17 tab, 3 append.

Descriptors:  Watersheds, Georgia, Michigan, Hydrology, Pesticides, Sediments,
Nutrients,  Runoff,  Water quality, Model studies.

The Agricultural Runoff Management (ARM) Model has been refined and tested on small
agricultural watersheds in Georgia and Michigan.  The ARM Model simulates the hy-
drology sediment production, pesticide, and nutrient processes on the land surface
and in the soil profile that determine the quantity and quality of agriculture
runoff.   This report discusses the research and model refinements related to soil

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moisture and temperature simulation, pesticide degradations, nutrient transfor-
mations and plant nutrient uptake.  The goal  is to evaluate and  improve the
pesticide and nutrient simulation capabilities of the ARM Model.  However, the
runoff and sediment modeling is also analyzed since these are the critical tran-
sport mechanisms of agricultural chemicals.


77:02E-004
RUNOFF FREQUENCY FROM SMALL STORMS AND IMPLICATIONS FOR WATER QUALITY,
Lewis, R.B., Hauser, V.L., Menzel, R.G., and  Ross, J.D.
Agricultural Research Service, Water Quality  Management Laboratory, Durant,
Oklahoma.
Transactions of the American Society of Agricultural Engineers,'Vol. 20, No. 4,
p 661-665, July-August, 1977.  8 fig, 4 tab,  10 ref.

Descriptors:  *Runoff, *Nebraska, *Water quality, *Agricultural chemicals, On-
site investigations, Watersheds  (basins), Agricultural watersheds, Agricultural
runoff. Chemicals, Farm management, Contour farming, Crops, Field crops, Storms,
Storm runoff, Precipitation  (atmosphere), Pollutants, Water pollution, Water
pollution control.

The concentration of chemicals in surface runoff water is often an important
consideration.  Water soluble chemicals which are applied to the surface of plants
or soil may appear in highest concentration in runoff from small storms.  There-
fore, some aspects of water quality management require quite different hydrologic
information than has been required to solve problems considered  in the past.  The
study of small  storms in the central Great Plains near Hastings, Nebraska, re-
vealed much about small storms and their relation to water quality-  Compared
with straight row cultivation, contouring of  corn substantially decreased the
number of runoff events resulting from small  storms, and thus substantially de-
creased the probability of pollution from surface applied chemicals.  The data
showed that wheat on contour produced about 1/3 less annual runoff than wheat
grown with straight row tillage; however, no  difference was found between contour
and straight row wheat in the number of runoff events resulting from small storms.
During the months when it is desirable to top-dress nitrogen fertilizer on winter
wheat, there is little or no threat of pollution to surface waters.  Few runoff
events were produced by small storms falling  on meadow or pasture; therefore,
chemicals may safely be applied to them.  During June, the high rainfall month,
there were 5 times more small storms producing no runoff than storms which did
on all cultivated crops except corn with straight row tillage.  Thus, if chemi-
cals are applied only when the soil surface is relatively dry, the probability
of surface-water pollution would be small.


77:02E-005
MANNING N AND THE OVERLAND FLOW EQUATION,
Ree, W.O., Wimberly, F.L., and Crow, F.R.
Agricultural Research Service, Stillwater, Oklahoma.
Transactions of the American Society of Agricultural Engineers, Vol. 20, No. 1,
p 89-95, January-February, 1977.  7 fig, 5 tab, 9 ref.

Descriptors:  *Mannings equation, *Watersheds (basins), *Overland flow, *Model
studies, Laboratory tests, Small watersheds,  Hydrograph analysis. Grassed water-
ways, Range grasses, Flow, Runoff, Vegetation, Channel flow, Hydraulics, Hydrology.

Manning n values for the overland flow surfaces of a grassed watershed were de-
rived by hydrograph analysis and by using average watershed slope and overland
flow length values determined by geomorphic methods.  These values were compared
with Manning n  values from laboratory tests on channels having similar grass
covers.  Close  agreement was found for poor grass, but not for fair and good
grass.  The methods can be used to estimate the overland flow equation for an
ungaged watershed if a Manning n value for the overland flow surface can be es-
timated .

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77 :02E-006
COMPARISON OF ANNUAL STREAMFLOW MODELS,
Burges,  S.J., and Lettenmaier,  D.P.
Washington University, Department of Civil Engineering,  Seattle,  Washington.
Journal of the Hydraulics Division,  American Society of  Civil Engineers, Vol. 103,
No.  HY9, p 991-1006, September  1977.  9  fig, 1 tab,  22 ref,  2 append.

Descriptors:  Model studies,  Streamflow,  Water resources,  Streamflow forecasting.

The principle objective of this paper is  to demonstrate  the  operational importance
of the form of model and the  level of its parameters used  for annual Streamflow
generation.  Streamflow generation models most commonly  used in practice at pre-
sent belong to the short-term memory category;  models that preserve longer term
persistence features (Hurst effect (10,  11, 12}}  are well  understood but have
not been extensively used in  water resource system evaluation.  Models of the
second category are usually more expensive to operate than Markov models; thus
it is of interest to determine  the operational importance  of preserving both
short and long-term persistence effects.
                                      10

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                                     SECTION V


                                    WATER CYCLE

                             GROUNDWATER   (GROUP 02F)


77:02F-001
NUMERICAL PUMPING TEST ANALYSIS IN UNCONFINED AQUIFERS,
Rushton, K.R., and Chan, Y.K.
Birmingham University, Department of Civil Engineering, England.
Journal of the Irrigation and Drainage Division, American Society of Civil En-
gineers, Vol. 103, No. IR1, Proceedings Paper 12782, p  1-12, March  1977.  4  fig,
2 tab, 14 ref, 2 append.

Descriptors:  *Aquifer testing, *Drawdown, *Numerical analysis,  *Aquifers, Water
table, Computer models, Darcy's law, Groundwater movement, Water wells. Test  wells,
Seepage, Storage, Percolation.

A numerical model was presented which describes the flow towards an abstraction
well in an unconfined aquifer.  At each radius, the conditions within the aquifer
are described in terms of only two drawdowns, the  free  surface, and the average
drawdown.  This model allowed the effects of vertical components of flow, variable
saturated depth, water contained within the well,  delayed yield, and other factors
to be included in a single solution.  Results from the  numerical model were  com-
pared with alternative analytical solutions.  Finally,  the technique was used to
interpret two pumping tests in unconfined -aquifers.


77:02F-002
TOWARD AN ANALYTICAL THEORY OF WATER FLOW THROUGH  INHOMOGENEOUS POROUS MEDIA,
Gupta, V.K., Sposito, G., and Bhattacharya, R.N.
Arizona University, Department of Hydrology and Water Resources, Tucson, Arizona.
Water Resources Research, Vol. 13, No. 1, p 208-210, February 1977.  10 ref,


Descriptors:  *Porous media, *Groundwater movement, *Darcy"s law, Flow, Fluid
mechanics, Analytical techniques, Mathematical studies. Equations, Mathematics,
Analysis.

Some rigorous mathematical results for the Buckingham-Darcy flux law for water
flow through an isotropic, nondeformable, inhomogeneous porous medium were pre-
sented.  It was shown that the volumetric flux density  vector, aside from the
component due to gravity, may always be expressed  in terms of a scalar and a vec-
tor matric flux potential.  The vector matric flux potential will vanish for a
homogeneous porous medium and for a one-dimensional inhomogeneous porous medium.
It follows from this result that the hydraulic conductivity will be a function
only of the water potential in any one-dimensional porous medium if its space
derivative at constant water potential vanishes identically.  In addition, it was
shown that the vector matric flux potential is of  no physical consequence insofar
as the flow equation is concerned, regardless of the number of dimensions of space.
The specifications of that part of the flux density vector contributed by the vec-
tor potential appears in the law of momentum balance instead of the law of mass
balance.


77:02F-003
COMPARISON OF ITERATIVE METHODS OF SOLVING TWO-DIMENSIONAL GROUNDWATER FLOW
EQUATIONS,
Trescott, P.C., and Larson, S.P-
Geological Survey, Water Resources Division, Reston, Virginia.
Water Resources Research,  Vol. 13, No. 1, p 125-135, February 1977-  13 fig,
1 tab, 20 ref.
                                         11

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 Descriptors:   *Groundwater movement,  *Subsurface flow, *Model studies,  *Mathemati
 cal  models,  *Equations,  Methodology,  Evaluation, Correlation analysis,  Aquiter
 characteristics,  Hydrogeology.

 The  efficiency of line  successive overrelxation  (LSOR) is compared with a_two-
 dimensional  correction  procedure  (2DC), the iterative, alternating direction
 implicit  procedure (ADI), and the strongly implicit procedure (SIP) to  solve
 finite-difference equations  used to simulate several groundwater reservoirs.
 Three of  the  reservoirs  are  linear, two are isotropic areal problems, and  the
 third is  an  anisotropic  cross-section simulation.  The fourth is a nonlinear water
 table aquifer with areas of  this saturation.  SIP is generally the best method
 for  the linear simulations and with the addition of another iteration parameter
 is  the only  method that  gives an adequate rate of convergence for the water table
 problem.   LSOR with 2DC  is competitive with SIP on isotropic and anisotropic
 linear problems that are dominated by no-flow boundaries.  ADI is generally more
 efficient than LSOR if  a good set of  iteration parameters are used, but this advan-
 tage is offset by the relative ease of finding the best acceleration parameter for
 LSOR.


 77:02F-004
 DRAIN SPACING BASED ON  DYNAMIC EQUILIBRIUM,
 McWhorter, D.B.
 Colorado  State University, Department of Agricultural Engineering, Fort Collins,
 Colorado.
 Journal of the Irrigation and Drainage Division, American Society of Civil Engi-
 neers,  Vol.  103,  No.  IR2, Proceedings Paper 13022, p 259-271, June 1977.   3 fig,
 4 tab,  13 ref,  2  append.

 Descriptors:   *Drains,  *Water table,  *Groundwater movement, *Mathematical models,
 Equations, Aquifers,  Groundwater recharge, Hydraulic properties, Flow,  Depth,
 Discharge (water),  Saturated flow, Drawdown, Boundaries ( surfaces) .

 Superposition was used  to obtain an equation for the water table elevation between
 parallel  drains  in response  to a periodic sequence of instantaneous recharge events
 of arbitrary  volume and  timing.  The  mathematical developments are especially use-
 ful  for calculating the  spacing of parallel-relief drains required to achieve a
 perscribed maximum water table elevation under conditions of "dynamic equilibrium."
 A drain-spacing  calculation, compared with the results obtained by the  Bureau of
 Reclamation's (USDI)  approximate, dynamic-equilibrium method, showed the latter to
 result  in  a drain spacing that is on  the safe side.  The spacing method reported
 herein  provides a mathematically correct alternative to the pioneering  dynamic
 equilibrium calculation  and  maintains the flexibility required to handle conditions
 of variable recharge  and drainout times.


 77:02F-005
 INFLUENCE  OF  MATRIX CONDUCTION UPON HYDROGEOPHYSICAL RELATIONSHIPS IN ARENA-
 CEOUS AQUIFERS,
 Worthington,  P.P.
 National Physical  Research Laboratory, Geophysics Division, Pretoria  (South Africa).
 Water Resources Research, Vol. 13, No. 1, p 87-92, February 1977.  4 fig,  10 ref.

 Descriptors:   *Resistivity,  *Sand aquifers, *Porosity, *Aquifers, Permeability,
 Geophysics, Sandstones,   Electrolytes, Groundwater, Salinity, Particle size, Clay
 minerals.

 The relationship  of formation resistivity factor to effective porosity  or  inter-
 granular permeability in water-saturated sands was shown to be best defined where
 the solid constituents do not contribute significantly to the conduction of applied
 current or where  corrections for this contribution have been applied to the mea-
 sured formation resistivities.  It was demonstrated that, in the particular case
 of an argillaceous  sand  sorted according to its matrix conduction properties, use-
 ful relationships between formation resistivity factor and intergranular permeabil-
 ity can be established without any process of correction, provided that porosity
 and electrolyte salinity do  not vary  markedly within the formation.  This  finding
was used to resolve the  paradox that  formation resistivity factor has been report-
 ed to increase with intergranular permeability in certain sands and to  decrease
with increasing values of this same hydrological parameter in others.
                                         12

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77:02F-006
DEVIATIONS FROM THE THEIS SOLUTION  IN AQUIFERS  UNDERGOING  THREE-DIMENSIONAL
CONSOLIDATION,
Gambolati, G.
Centre di Ricerca IBM di Venezia  (Italy).
Water Resources Research, Vol.  13,  No.  1,  p  62-68,  February  1977-   7  fig
17 ref.

Descriptors:  *Consolidation,  *Aquifers,  *Mathematical models.  *Theoretical
analysis, *Theis  equation,  Finite element analysis. Equations, Drawdown,
Permeability, Aquifer testing,  Storage  coefficient,  Depth, Compaction,  Defor-
mation, Stress,Potentiometric  level, Elastic deformation.

Previously, a new mathematical  model based on the  "tension center"  or "strain
nucleus"  concept was proposed  for the response  characterizing  flow  in a confined
aquifer undergoing three-dimensional consolidation.  The new approach differs
from Biot's approach in that it leads to  the development of  a  unique  integro-
differential equation for the  pressure  head  decline occurring  within  the porous
system.   The consideration of  the horizontal strain components results  in a
conceptually simple modification of the classical  diffusion  equation  to which
a further integrodifferential  term  accounting for  the three-dimensional effect
is added.  In the present paper, the new  equation  of flow was  solved  in a pump-
ed artesian aquifer inclosed in a half  space by an iterative finite element
technique.  It was shown that  in shallow  and relatively thick  units (with W
approximately equal to 0.5, where W is  the ratio between the average  depth and
the thickness of the aquifer),  downward vertical components  of flow develop and
that the  average drawn deviates moderately from the Theis  solution  and  is no
longer uniquely represented against the dimensionless time.  The three-dimen-
sional effect produces an additional soil  compression which  retards the piezo-
metric decline.  At large values of time,  the horizontal strain components
vanish, the diffusion equation  holds, and  the solution becomes  parallel to the
Theis profile.  As a major consequence, the  traditional aquifer tests can still
be applied to assess the formation  permeability, but they yield a 40% over-
estimate  of the elastic storage coefficient.  In deeper units  (W greater than
0.5), the importance of the three-dimensional effect diminishes, is already
small when W equals 1, and becomes  negligible for  W greater  than or equal to 2.
In this case, the diffusion equation and  its solutions are sufficiently accurate.
From a practical standpoint, the quantitative results given  herein  are  limited
by the condition that a mechanically homogeneous and isotropic half space is
required.


77:02F-007
THERMAL CONVECTION IN A CAVERNOUS AQUIFER,
Rubin, H.
Florida University, Department  of Civil Engineering, Gainesville, Florida.
Water Resources Research, Vol.  13,  No.  1,  p  34-40,  February  1977.   4  fig, 11 ref,
1 append.

Descriptors:  *Thermal water,  *Aquifers,  *Groundwater movement, *Model  studies,
Mathematical models. Convections, Fluid mechanics.  Fluid friction,  Permeability,
Groundwater, Temperature, Water temperature,  Heat  transfer.-  Currents  (water) ,
Stability, Equations, Porous media, Hydrology-

Geothermal activity may lead to convection currents  in saturated permeable layers
within the earth.  Instability  criteria for  such a flow field,  in which the fluid
flows initially at moderate Reynolds numbers  is discussed.   Supercritical condi-
tions were analyzed by expanding the finite  amplitude perturbations through trun-
cated eigenfunctions.  This approach yielded expressions for the intensity of
transport processes through the aquifer.   It was found that  mechanical  dispersion
due to convection motions reduces the intensity of transport processes.


77:02F-008
SHAPE OF  A STREAMLINE WATER TABLE NEAR  INFLOW AND  OUTFLOW BOUNDARIES,
Boast, C.W.
Illinois  University, Department of  Agronomy,  Urbana-Champaign,  Illinois.
Water Resources Research, Vol.  13,  No.  2,  p  325-328, April 1977.  3 fig, 1 tab,
12 ref.
                                        13

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 Descriptors:   *Water  table,  *Shape, *Boundaries  (surfaces),  *Flow nets. Mathema-
 tical  models,  Inflow,  Discharge, Slopes, Equations, Graphical analysis, Dupuit-
 Forchheimer  theory, Dams.

 A  streamline water  table  usually is pictured to  leave an inflow boundary  perpendi-
 cular  to  the surface  and  to  approach an outflow  boundary tangential to the  surface
 for vertical surfaces  or  for inclined surfaces with the porous medium  below   the
 surface.   The  hodograph solution for the problem of flow through a vertical walled
 dam proved that,  theoretically, the water table  streamline leaves the inflow  bound-
 ary horizontally  and  approaches the outflow boundary vertically.  However,  tne
 solution  shows that at a  practical scale the water table meets the boundaries at
 finite nonzero slopes.  The  actual water table shape deviates considerably  trom
 the usual way  that  the water table is sketched.  The cause of the difference  lies
 in an  intuitive but incorrect assumption that the slope of the water table  does
 not change dramatically near the endpoints of the water table.


 77:02F-009
 LOCATION  OF  FREE  SURFACE  IN  POROUS MEDIA,
 Liggett,  J.A.
 Cornell University, Department of Civil Environmental Engineering, Ithaca,  New
 York.
 Journal of the Hydraulics Division, American Society of Civil Engineers,  Vol.  103,
 No. HY4,  Proceedings  Paper 12851, p 353-365, April 1977.  7  fig, 6 ref, 3 append.

 Descriptors:   *Free surfaces, *Porous media, *Mathematical models, Equations,  Numer-
 ical analysis,  Boundaries  (surfaces), Groundwater movement, Water table,  Steady
 flow,  Unsteady flow.  Permeability, Seepage.

 The boundary integral  equation method (BIEM) was applied to  the problem of  locating
 the free  surface  in both  steady and unsteady flow through porous media.   The  method
 is numerical in its application and uses boundary data only.  Thus, the position
 of the free  surface can be found without solving the complete flow problem.   The
 method can be  continued to find the solution to  the complete problem.  The  method
 is especially  efficient when the solution is desired at a limited number  of points
 (e.g.,  on a  failure surface  in determining slope stability)  or in a limited area
 of the flow.   Examples were  given in which there is a free surface and a  seepage
 surface and  in which  zones of different permeability appear.


 77:02F-010
 A  METHOD  OF ESTIMATING PARAMETERS AND ASSESSING  RELIABILITY  FOR MODELS OF STEADY
 STATE  GROUNDWATER FLOW 1.  THEORY AND NUMERICAL  PROPERTIES,
 Cooley, R.L.
 Geological Survey, Water Resources Division, Lakewood, Colorado.
 Water  Resources Research, Vol. 13, No 2, p 318-324, April 1977.  1 fig, 37  ref.

 Descriptors:   *Model studies, *Groundwater movement, *Least  squares method, ^Steady
 flow,  Hydrogeology, Numerical analysis,  Aquifer  characteristics, Geohydrologic
 units,  Boundary layers, Sinks, Methodology, Forecasting, Regression analysis.

 A  new  nonlinear least squares solution for the hydrogeologic parameters,  sources
 and  sinks, and boundary fluxes contained in the  equations approximately governing
 two-dimensional or radial steady state groundwater motion was developed through
 use of  a  linearization and iteration procedure applied to the finite element  discre-
 tization  of the problem.   Techniques involving (1) use of an iteration parameter  to
 interpolate or extrapolate the changes in computed parameters and head distribution
 at each iteration and  (2)  conditioning of the least squares  coefficient matrix
 through use of ridge regression techniques were  proven to induce convergence  of the
procedure for virtually all problems.  Because of the regression nature of  the
solution  for the parameter estimation problem, classical methods of regression
analysis  are promising as an aid to establishing approximate reliability  of com-
puted parameters and predicted values of hydraulic head.  Care must be taken  not
to compute so many parameters that the stability of the estimates is destroyed.
Reduction of the error variance by adding parameters is desirable provided  that
the number of degrees of freedom for error remains large.

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77:02F-011
TRANSIENT ANALYSIS OF PHREATIC AQUIFERS LYING BETWEEN  TWO OPEN CHANNELS,
Singh, S.R., and Jacob, C.M.
Punjab Agricultural University, Department of Soil and Water Engineering,
Ludiana  (India).
Water Resources Research, Vol. 13, No. 2, p  411-419, April  1977.   3 fig  1 tab,
16 ref.
                                 •a
Descriptors:   *Aquifers,  *Groundwater movement,  *Hydrodynamics,  *Model studies,
Mathematical models, Groundwater, Channels,  Hydraulic  conductivity, Water table,
Water levels,  Precipitation  (atmospheric), Infiltration, Recharge, Withdrawal,
Hydraulics.

The unsteady-state flow of water through an  unconfined aquifer can be represented
by the Boussinesq equation.  The nonlinear term  involving the highest derivative
in this  equation was approximated by a linear term, and the resulting approxi-
mate Boussinesq was linearized to a Fokker-Planck equation by the method of func-
tional transformation.  Solutions to the problem of groundwater  flow through
phreatic aquifers lying between  (1) constant water level boundaries and  (2)
variable water level boundaries were obtained from the general solution of the
Fokker-Planck  equation for constant and variable rates of recharge and withdrawal.
Variable rates of recharge and withdrawal were approximated by periodic step
functions which represented  two different rates, one each for both rainy and dry
seasons.  Variable water  levels in the open  channels were approximated by step
functions and  the initial condition was represented by straight  line segments.
An analytical  solution of the approximate Boussinesq equation was  compared with
the finite difference solution of the original Boussinesq equation.  The difference
between  the two solutions was almost negligible, and therefore,  the applicability
of the analytical solutions  to groundwater resource management was established.
The effect of  variable water level boundaries on groundwater dynamics was studied
by performing  a sample calculation.


77:02F-012
FLOW  IN  FRACTURED POROUS  MEDIA,
Duguid,  J.O.,  and Lee, P.C.Y.
Princeton University, Department of Civil Engineering, New Jersey.
Water Resources Research, Vol. 13, No 3, p 558-566, June 1977.   6  fig, 17 ref.

Descriptors:   *Porous media, *Mathematical models, *Fracture permeability, *Flow,
Model studies, Mathematical  studies. Theoretical analysis, Analytical techniques,
Numerical analysis, Finite element analysis, Equations, Porosity, Compressibility.-
Subsurface flow.

The equations  governing the  flow of fluid through fractured porous media were de-
rived.   The equations consist of Darcy's law for fluid flow in the primary pores,
equations of motion for fluid flow in the fractures, and two continuity equations.
The system of  equations was  coupled by the interaction of fluid  in the primary
pores with fluid in the fractures.  The coupling terms, which are incorporated
in the continuity equations, describe the transient flux of fluid out of the pri-
mary pores and into the fractures.  The finite element Galerkin method was used
to solve the coupled system  of equations for transient flow in a confined leaky
aquifer.  Solutions were  obtained for both constant discharge and step drawdown
problems.  The importance of coupling the primary blocks to the  fracture .system
and the  effect of the acceleration term in the equation of motion in the fractures
were studied by using the model.  The effect of the acceleration term in the equa-
tion of  motion of fluid in fractures is small, even in the case of step drawdown,
where there is a rapid change in the magnitude of velocity during early stages of
the flow.  Both the incremental pressure in  the primary pores and the total incre-
mental pressure in the fractures were obtained from the mathematical model.  The
two pressures  cannot be obtained from an observation well because the level mea-
sured in the well is related to total pressure.  The pressure in the fractures is
nearly equal to the pressure in the primary  pores, and the gradients of these
pressures are  nearly equal.


77:O2F-013
VISCOELASTIC AQUIFER MODEL APPLIED TO SUBSIDENCE DUE TO PUMPING,
Corapcioglu, M.Y., and Brutsaert, W.
Cornell  University, School of Civil and Environmental  Engineering, Ithaca, New York.
                                          15

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 water  Resources  Research,  VoL 13, No  3,  p  597-604, June  1977.   2  fig,  3  tab,
 46  ref.

 Descriptors:   *Land subsidence,  California,  *Mathematical models,  *Aquifers,
 *Pumping,  Model  studies, Water level  fluctuations, Compaction,  Drawdown,
 Theoretical  analysis,  Consolidation.

 A viscoelastic aquifer model  was applied to analyze and  predict the piezometric
 drawdown and the compaction observed  in  a  major confined aquifer  system  in  the
 San Joaquin  Valley  in  California.  A  field approach was  used based_on_a^minimal
 number of "bulk  "parameters.   The parameters, which are  the transmissivity,
 the compressibilities  of primary and  secondary consolidation, and the  viscosity
 of  the secondary consolidation, were  derived  by calibration of  the model by
 means  of trial and  error simulation of 2 years of records of drawdown  and^com-
 paction.   It was found that in the absence of drawdown records, the identifica-
 tion also may be accomplished with compaction records in addition to a standard
 pumping test.  Comparison  of  computed results with available records showed that
 the viscoelastic model yields a  satisfactory  prediction  of compaction  which^is
 far better than  that obtainable with  the elastic model of the classical  Theis-
 Jacob  approach.   The elastic  model may be  adequate to represent the hydraulic
 properties of the aquifer  in  the analysis  of  the piezometric drawdown; however,
 it  appears to be unsatisfactory  to represent  the mechanical properties of the
 aquifer as related  to  surface subsidence.


 77:O2F-014
 NUMERICAL MODEL  FOR SATURATED-UNSATURATED  FLOW IN DEFORMABLE POROUS MEDIA, I .
 THEORY,
 Narasimhan,  T.N., and  Witherspoon, P.A.
 California University,  Lawrence Berkeley Laboratory; and California University-
 Department of Mineral  Sciences and Mineral Engineering,  Berkeley, California.
 Water  Resources  Research,  Vol. 13, No  3,  p  657-664, June  1977.   6  fig,  27 ref.

 Descriptors:   *Porous  media,  *Mathematical models, *Groundwater movement, Theo-
 retical analysis. Saturated flow, Unsaturated flow, Model 'studies, Deformation,
 Numerical  analysis,  Equations, Flow,  Groundwater, Hydrology, Permeability,
 Compressibility,  Pore  water,  Hydraulic conductivity.

 A theory was  presented for numerically simulating the movement  of water  in var-
 iable  saturated  deformable porous media.   The theoretical model considered a
 general  three-dimensional  field of flow  in conjunction with a one-dimensional
 vertical  deformation field.   The governing equation expressed the conservation
 of  fluid mass  in an elemental volume  that  has a constant volume of solids.  De-
 formation  of  the porous medium may be nonelastic.  Permeability and the  compres-
 sibility  coefficients  may  be  nonlinearly related to effective stress.  Relation-
 ships  between  permeability and saturation  with pore water pressure in  the
 unsaturated  zone may be characterized by hysteresis.  The relation between pore
 pressure change  and effective stress  change may be a function of  saturation.  In
 the  transition zone where  pore.water  pressure is less than atmospheric but greater
 than air entry value,  soil moisture diffusivity as used  in soil physics  and coef-
 ficient of consolidation as used in soil mechanics were  shown to  be conceptually
 equivalent.   It  is  believed that the  model will be of practical interest in
 studying saturated-unsaturated systems undergoing simultaneous  desaturation and
 deformation.


 77:02F-015
 SEEPAGE UNDER STRUCTURE ON N  STRATA OF SOIL,
 Lenau,  C.W.
Missouri University, Department of Civil Engineering, Columbia, Missouri.
Journal of the Hydraulics  Division, American  Society of  Civil Engineers, Vol. 103,
No.   HY5, Proceedings Paper 12911, p 483-497,  May 1977.   4 fig,  2  tab,  2  ref, 4
append.

Descriptors:   *Underseepage,  *Stratification, *Hydraulic structures, *Mathemati-
cal  models, Equations,  Groundwater movement,  Underflow,  Seepage,  Permeability,
Aquifers, Confined water,  Artesian heads.  Dams.
                                        16

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A solution was developed for  the discharge  under  a  structure  resting on N  strata
of equal thickness.  The solution was  an  asymptotic approximation  of the exact
solution for large values of  the structure  length.   However,  because neglected
terms are exponentially small,  the  solution is  accurate  for a very wide range of
conditions.  Because successive strata can  have equal  permeability, the solution
can be applied to almost any  combination  of strata  thicknesses  and permeabilities.


77:02F-016
HYDROGEOCHEMICAL RELATIONSHIPS  USING PARTIAL CORRELATION COEFFICIENTS,
Barr, D.E., and Newland, L.W.
Texas Christian University, Environmental Sciences  Program, Fort Worth, Texas.
Water Resources Bulletin, Vol.  13,  No.  4, Paper No.  77073, p  843-846, August 1977.
1 tab, 4 ref.

Descriptors:  *Water chemistry, *Groundwater,  *Correlation analysis, *Geochemistry,
Ions, Cations, Calcium, Sodium, Magnesium,  Chlorides,  Sulfates, Data processing,
Analytical techniques, Groundwater  resources.

Analyses of 69 groundwater  samples  were performed for  6  chemical parameters.  Par-
tial and simple correlation coefficients  for the  parameters indicate that  partial
coefficients are superior to  simple coefficients  in establishing geochemical re-
lationships for the aqueous system  evaluated.   The  improved reliability arises
from the ability of partial correlation analysis  to hold constant  the outside fac-
tors that may be affecting  the  two  variables of interest.


77:02F-017
TRANSIENT SPHERICAL FLOW TO A CAVITY WELL OF FINITE DIAMETER,
Jaiswal, C.S., Chauhan, H.S., and Ghildyal,  B.P-
Govind Ballabh Pant University  of Agriculture and Technology, Department of
Agricultural Engineering, Pantnagar (India).
Ground Water, Vol. 15, No.  5, p 372-376,  September-October 1977.   4 fig, 3 tab,
12 ref.

Descriptors:  *Flow, *Groundwater movement,  *Wells,  Transmissivity, Storage coef-
ficient, Aquifers, Hydrology, Groundwater,  Mathematical  studies. Analysis.

The system of flow into a nonpenetrating  well with  hemispherical bottom of finite
radius in a finite deep artesian aquifer  of infinite radial extent was analyzed.
The solution was obtained in  terms  of  error function.  A method was suggested
for determination of transmissivity, storage coefficient, and depth of aquifer
from pump test data of such wells discharging at  constant rate.  For small values
of radial distance to aquifer depth ratio and for small  duration test, only a few
were required in the present  solution  as  compared to the solution  of Hantush
developed for such wells.


77:02F-018
MODELING OF UNCONFINED GROUNDWATER  SYSTEMS,
Murray, W.A., and Johnson,  R.L.
Lehigh University, Department of Civil Engineering;  and  Lehigh  University, Fritz
Engineering Laboratory, Bethlehem,  Pennsylvania.
Ground Water, Vol. 15, No.  4, p 306-312,  July-August 1977-  2 fig, 1 tab,  34 ref,
2 append.

Descriptors:  *Groundwater, *Equations, *Model  studies,  Groundwater movement,
Dupuit-Forchheimer theory,  Mathematical models, Water  table,  Hydrology, Base flow.

Mathematical modeling of regional unconfined groundwater flow is accomplished most
often by using a linearized Dupuit-Forchheimer  (DF)  equation.   The depth of flow,
h, in the general DF equation appears  as  a  squared  h term and also as a linear
term of h.  Linearization of  the DF equation generally is accomplished^with^the
first method of linearization presented by  Polubarinova-Kochina  (PK), in which
squared h is replaced with  h  times  some average, depth  of flow.  The resulting
equation is then linear in  h.   The  second method  of linearization  described by PK
is accomplished by replacing  h  with squared h,  divided by an  average flow  depth,
and hence the resulting equation becomes  linear in  squared h.   If  the second
method of linearization is  used, the same heat  conduction type  equation is obtained
                                         17

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as  that  from  the first method of linearization, but it tends to yield more  accu-
rate predictions of water table locations.  Furthermore, by simply altering the
numerical values of boundary condition constants, most existing mathematical
models,  based on the first method of linearization can be easily converted  to  yield
solutions to  the more accurate equation linearized by the second method.



DIGITAL  MODEL STUDIES OF STEADY-STATE RADIAL FLOW TO PARTIALLY PENETRATING  WELLS
IN  ALLUVIAL PLAINS,
Lakshminarayana, V., and Rajagopalan, S.P.
Indian Institute of Technology, Department of Civil Engineering, Kanpur.
Ground Water, Vol.15, No 3, p 223-230, May-June 1977.  5 fig, 4 tab, 4 ref.

Descriptors:  *Groundwater, *Groundwater movement, *Water wells, *Model studies,
Mathematical  models, Drawdown, Wells, Water levels, Water table, Flow, Aquifers,
Screens, Well screens, Permeability, Anisotropy, Pumping, Computer models.

A digital simulation model for the steady-state radial flow towards partially
penetrating wells  in the alluvial plains was presented.  As the deposits in these
plains are heterogeneous with several good water-bearing formations crisscrossed
with silty layers, the deposits were treated as a single anisotropic aquifer^with
water table conditions prevailing.  The iterative alternate direction implicit
technique was used for the solution of the steady-state flow.  The digital  simula-
tion model was used to study the effects of anisotropy,  screen setting, and
screen length on the discharge per unit length of screen.  The model also was  used
to  evaluate the errors involved in determining lateral permeability from distance-
drawdown data.  The digital simulation model was applied to field pump-test data
for purposes  of identification of aquifer anisotropy and radius of influence of
well; and the model was used in evaluation of errors in determining lateral per-
meability from distance-drawdown data.


77:02F-020
A MATHEMATICAL MODEL STUDY OF FRESH-WATER LENSES,
Chidley, T.R.E., and Lloyd, J.W.
Aston University,  Department of Civil Engineering, Birmingham (England).
Ground Water, Vol  15, No 3, p 215-222, May-June 1977.  8 fig, 9 ref.

Descriptors:  *Groundwater, *Islands, *Model studies. Mathematical models.  Saline
water-freshwater interfaces, Aquifers, Permeability, Water levels, Fluctuations,
Water levels  fluctuations, Groundwater movement, Groundwater recharge, Ground-
water resources.

An  analysis of the unsteady flow in a freshwater lens on a small tropical thick-
ness.  An alternative view of the problem to that most commonly given was present-
ed.  Results  were  shown for some lenses on Grand Cayman Island in the Caribbean
Sea.  The aquifer material is a micro-first limestone.  The chief result of engi-
neering  significance was that the conventional steady-state analysis was shown
to  be a  sound basis for estimating the long-term yield if drought sequences are
not long.


77:02F-021
APPLICATIONS  OF SURFACE RESISTIVITY METHODS,
Schwartz, F.W.,  and McClymont, G.L.
Alberta University, Department of Geology, Edmonton, Alberta,  Canada.
Ground Water,  Vol.  15, No. 3, p 197-202, May-June 1977.  5 fig, 10 ref.

Descriptors:   *Groundwater, *Surveys, *Resistivity, *Canada, Geology, Geophysics,
Rock properties,  Conductivity, Electrical resistance, Borehole geophysics,  Sand-
stones,  Glacial drift, Aquifers, Groundwater potential, Groundwater resources,
Hydrogeology.

Generally,  the geology of the Breton area of Alberta consists of a 5- to 125-ft.
veneer of glacial till overlying sandstone and sandy shale units of the Paskapoo
Formation.   These sandstone units are locally important aquifers.  Glacial  drift
in the Hastings  Lake area varies in thickness from 100 to 200 ft, and overlies
the Horseshoe Canyon Formation, which consists of bentonitic shale, siltstone,
and coal units with minor sandstone units.  Groundwater yields from drift and
                                        18

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bedrock in this area are generally  less  than  30  gpm  (113.6  1/m).   Resistivity
soundings were completed at  68 and 65  stations  in the Breton and Hastings  Lake
areas, respectively.  Profile maps  from  the Breton area  are characterized by
broad areas with apparent resistivity values  greater than  100  ohm-ft.   Qualita-
tive evaluation of the resistivity  soundings  and existing borehole data indi-
cated that the high resistivity values resulted  from a thick resistive  sandstone
aquifer less than 25 ft- from ground surface.   A  reasonably  well-defined resisti-
vity pattern was evident on the profile  maps  of  the Hastings Lake  area, with the
highest resistivity values  coming from stations  located  in  the hummocky moraine
south of the lake.  In addition to  providing  useful information on the  geology
of an area, surface resistivity methods  provide  a rapid  and relatively  inexpen-
sive tool to aid in planning more detailed groundwater studies because  of their
ability to detect inhomogeneities in  the subsurface environment.


77:02F-022
UTILIZING A DIGITAL MODEL TO DETERMINE THE HYDRAULIC PROPERTIES OF A LAYERED
AQUIFER,
Land, L.F.
Geological Survey, Bay Saint Louis, Missouri.
Ground Water, Vol.15, No 2, p 153-159, March-April 1977.   6 fig, 1 tab, 13  ref.

Descriptors:  *Model studies, *Hydraulic properties, *Aquifer  systems,  *Computer
models, Groundwater movement, Hydraulic  conductivity, Storage  coefficient,  Trans-
mis sivity-

The hydraulic characteristics of a  layered groundwater system  are  determined by a
modified digital model.  Its use provides information on the hydraulic  conducti-
vity and storage coefficient of a stratum and on the transmissivity and storage
coefficient of the groundwater system as a whole.  These characteristics  are
determined by trial and error test  runs  until  the calculated drawdowns  reasonably
match drawdown data from observation  wells which are open  to the artesian aquifer
and to the confining beds above or  below. An aquifer test  of  a layered ground-
water system in Palm Beach  County ,  Florida,  shows that  the transmissivity  of the
groundwater  system as a whole is 50  percent  higher than just  the  transmissivity
of the major water-bearing  zone in  this  system.


77:02F-023
ANALYTIC SOLUTION FOR DRAWDOWN IN AN  UNCONFINED-CONFINED RECTANGULAR AQUIFER,
Chan, Y.K., Mullineux, N.,  and Reed,  J.R.
Birmingham University, Department of  Mechanical  Engineering, (England).
Journal of Hydrology, Vol.  34, No.  3/4,  p 287-296, August  1977.  3 fig, 2 ref,
1 append.

Descriptors:  *Drawdown, *Aquifers, *Mathematical models,  *Equations, *Rainfall,
*Groundwater, Water wells.  Pumping, Confined  water, Aquifer characteristics.

Analytical solutions for the drawdowns due to  pumping from  a rectangular, uncon-
fined-confined aquifer subject to rainfall on  the unconfined part  were  given.  A
solution with general rainfall and  with  time  counted from  the  start of  abstraction
was shown to involve more extensive computation  than is  usually warranted.  The
amount of computation can be very considerably reduced by  considering the rainfall
to be periodic  (either x-dependent  or uniform) and by seeking  the  eventual  periodic
drawdown.  Since the problem is linear,  the drawdown due to a  number of abstrac-
tion wells in the confined  aquifer  is merely  the sum of  the drawdowns due to each
individually.


77:02F-024
LONGITUDINAL DISPERSION IN  POROUS MEDIA  WITH  VARIABLE POROSITY,
Lin, S.H.
Melbourne University, Department of Chemical  Engineering,  Parkville (Australia).
Journal of Hydrology, Vol 34, No 1/2,  p  13-19.- July 1977-   3 fig,  13 ref.

Descriptors:  *Porous media, *Porosity,  *Dispersion, Aquifers,  Groundwater,
Saline water intrusion, Hydrology,  Equations,  Model studies, Mathematical studies,
Oil reservoirs.
                                         19

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 An  analytical  procedure was  developed  for predicting  the  solute  dispersion in por-
 ous media with variable porosity and constant volumetric  seepage flow  rate.   Sev-
 eral porosity  equations, which may represent the possible porosity  variation as a
 function of  spatial  coordinate, were suggested and used to test  how well  the pre-
 dicted  solute  concentration  using a constant average  porosity  is when  compared to
 the prediction using a prescribed porosity function.  It  was found  that the  pre-
 dictions by  using  an average porosity  are within 15%  of those  predictions using a
 linear  or a  slightly curved, porosity  function.   However, the discrepancy between
 the two predictions  is very  substantial as the porosity function becomes  a strong
 nonlinear one.  For  this instance, prediction of the  solute concentration using
 an  average porosity  is rather poor, and a numerical method is  needed if a reliable
 prediction is  to be  obtained.


 77:02F-025
 COMPUTER MODELING  OF REGIONAL GROUNDWATER SYSTEMS IN  THE  CONFINED-UNCONFINED
 FLOW REGIME,
 Birtles, A.B.,  and Reeves, M.J.
 Department of  the  Environment, Central Water Planning Unit, Reading (England).
 Journal of Hydrology, Vol.34, No 1/2, p 97-127, July  1977.  13 fig, 47 ref.

 Descriptors:   *Groundwater,  *Groundwater movement, *Model studies, Mathematical
 models, Aquifers,  Sandstones, Infiltration,  Discharge (water), Flow, Foreign
 research, Computer models, Recharge, Water levels. Pumping, Leakage, Hydrology.

 The concepts and philosophies underlying the development  of general purpose  com-
 puter programs  for the simulation of groundwater flow in  regional aquifer systems
 operating in the confined-unconfined flow regime were described.  The most impor-
 tant of the many variables at play in such systems and the mechanisms by  which
 they interact  were identified, and the data required  for  the numerical definition
 of  the  hydrological  system were reviewed.  Emphasis was laid upon the importance
 of  modeling physical processes as precisely as possible when computer predictions
 outside the  scope  of natural hydrological events are  to be attempted.  An example
 was given of an application of the computer programs  and  techniques to the inves-
 tigation of a  proposed river regulation scheme using  groundwater  abstractions.


 77:02F-026
 PERMISSIBLE MESH SPACING IN AQUIFER PROBLEMS SOLVED BY FINITE  DIFFERENCES,
 Rushton, K.R.,  and Tomlinson, L.M.
 Birmingham University, Department of Civil Engineering, Birmingham University
 (England).
 Journal of Hydrology, Vol.34, No 1/2, p 63-76,  July 1977.  6 fig, 4 tab,  12  ref,
 append.

 Descriptors:   *Aquifers, *Groundwater, *Model studies, Mathematical models,  Finite
 element analysis,  Groundwater movement, Analytical techniques, Computer models.
 Hydrology.

 The  maximum acceptable mesh spacing for finite-difference models  of groundwater
 flow problems was  investigated by analyzing a range of problems  for which alterna-
 tive solutions  are available.  It was shown that, for long time  periods or for
 problems in which  the head variation is smooth, a few mesh subdivisions are  often
 acceptable; but for  other problems, many mesh subdivisions are essential.  Recom-
mendations were given for the design of a mesh; the validity of  the design was
tested  in the  solution of two field problems.


 77:02F-027
ECONOMIC IMPACT OF DIMINISHING GROUNDWATER RESERVES ON CORN PRODUCTION UNDER
CENTER-PIVOT IRRIGATION,
Sanghi,  A.K., and  Klepper, R.
Washington University, Center for the Biology of Natural  Systems, St. Louis,
Missouri  63130.
Journal of Soil and Water Conservation, Vol. 32, No.  6, p 282-285,  November-
December,  1977.  4 tab, 18 ref.

Descriptors:   Groundwater, Groundwater resources, Groundwater  basins, Groundwater
potential,  Aquifers,  Corn, Sprinkler irrigation, Irrigation, Nebraska, Crop  re-
sponse,  Crop production, Water conservation.
                                        20

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A method for analyzing the on-farm economic  consequences  of  diminishing  groundwater
reserves was developed.  The method uses  two functions.   One relates well  yield  to
an aquifer's saturated thickness.   The  other is  a  yield-response  function  that
recognizes a critical period of  plant growth.  The application  of the  method  to  corn
under center pivot  irrigation  in Holt County,  Nebraska, showed  net returns to be
far more sensitive  to insufficient irrigation water during the  critical  period of
corn growth than to price increases for energy or  other inputs.   The analysis also
suggested that  farmers motivated by short-run economic gain  will  find  it profitable
to modify wells to  sustain well  yield as  water tables decline.  Conservation  of
groundwater, therefore,  cannot be  left  to market forces.


77:02F-028
STUDIES ON SALINIZATION  OF GROUNDWATER, I. THEORETICAL CONSIDERATION ON  THE THREE-
DIMENSIONAL MOVEMENT OF  THE SALT WATER  INTERFACE CAUSED BY THE  PUMPAGE OF  CONFINED
GROUNDWATER IN  FAN-SHAPED ALLUVIUM,
Kishi, Y., and  Fukao, Y.
Ehime University,  Department of  Applied Physics, Matsuyama  (Japan).
Journal of Hydrology, Vol.  35, No. 1/2, p 1-29,  October 1977.   8  fig,  8  ref,
2  append.

Descriptors:   *Groundwater  flow, *Sea water, *Saline water intrusion,  *Saline
water-freshwater  interfaces,  *Alluvial  fans, Mathematical models, Confined water,
Pumping,  Equations, Numerical  analysis, Hydraulic  conductivity, Density, Carey's
law. Boundaries (surfaces).

A  theoretical  model was  presented  on the  phenomenon of  seawater intrusion  into
confined  groundwater  to  make  clear the  relationship between  the amount of  pumping
of freshwater  and the  corresponding three-dimensional spatial distribution of salt
water.  First,  differential  equations were derived for  the fresh  and salinized
regions,  respectively,  from the  fundamental  equation of confined  water.  The  equa-
tion in the salinized  region,  which is  a  quasilinear differential equation, can
be transformed to a linear  one and then is continued to the  equation in  the fresh
region, resulting in  the two-dimensional  Poisson's equation  which is applicable
to the  entire  region.   The  equation in  steady-state was solved  in integral form
by using  the method of  Green's functions  and was expressed simply in the case of
idealized field conditions  analogous to a fan-shape alluvium by the usual  method
of images.  Finally,  some numerical examples were  shown for  the case of  uniform
pumpage in a circular  region.


77:02F-029
SOLUTION  OF THREE-DIMENSIONAL  GROUNDWATER FLOW EQUATIONS  USING  THE STRONGLY
IMPLICIT  PROCEDURE,
Trescott,  P.C.,  and Larson,  S,P.
Geological  Survey,  Water Resources Division, Reston, Virginia.
Journal of  Hydrology, Vol. 35,  No 1/2, p 49-60, October  1977, 6 fig, 17  ref,  append.

Descriptors:   *Model studies,  *Groundwater movement, *Aquifer characteristics,
*Numerical  analysis, *Computer programs,  Hydrogeology, Leakage, Hydraulic
 conductivity.

A  three-dimensional numerical  model has been coded to use the strongly implicit
procedure  for  solving the finite-difference  approximations to the groundwater
flow equation.   The model allows for:  (1)  the representation of each aquifer  and
each confining  bed  by several  layers; and (2)  the  use of  an  anisotropic  hydraulic
conductivity at each finite-difference  block.  The model  is  compared with  a pre~
viously developed  quasi-three-dimensional model  by simulating the steady-state
flow in an aquifer  system in the Piceance Creek  Basin, Colorado,   The  aquifer
system consists of  two aquifers  separated by a leaky confining bed.  The upper
aquifer receives recharge from precipitation and is hydraulically connected to
streams.  In order  to make a valid comparison of results, a  single layer was  used
to represent each aquifer.  The  need for  a layer to represent the confining bed
was eliminated  by incorporating  the effects  of vertical leakage into the vertical
component of the anisotropic hydraulic  conductivity of the adjacent aquifers.
Thus, the problem was represented  by only two layers in each model with  a  total
of about 2,100  equations.  This  restricted the effects of flow in the  confining
layer to  the vertical components,  but simulations  with a  third  layer in  the three-
 dimensional model  permitting  horizontal  flow in the confining  bed show  that  the
                                         21

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two-layer approach is reasonable.  Convergence to a solution of this problem
takes about one minute of computer time on the IBM/155.  This is about  30  times
faster than the time required using the quasi-three-dimensional model.


77:02F-030
CARBON DIOXIDE IN THE ATMOSPHERE OF THE UNSATURATED ZONE:  AN IMPORTANT CONTROL
OF GROUNDWATER HARDNESS IN LIMESTONES,
Atkinson, T.C.
University of East Anglia, School of Environmental Sciences, Norwich (England).
Journal of Hydrology, Vol. 35, No. 1/2, p 111-123, October 1977.  6 fig, 4 tab,
30 ref.

Descriptors:  *Carbon dioxide, *Hardness  (water) , *Groundwater, *Limestones,
Caves, Springs, Spring water, Calcium, Calcite, Alkalinity, Water chemistry,
Organic material, Groundwater movement, Atmosphere, Unsaturated flow, Chemistry,
Hydrogeology, Hydrology.

Weekly analyses of springwaters in the Mendip Hills, England, showed constant
partial pressure of C02.  Soil air partial pressure of C02  (measured directly
and  calculated from soil water analyses)  fluctuates seasonally and is almost
always less than the partial pressure of C02 of springs,  A source of C02  in
the  unsaturated zone was proposed to account for the discrepancy, supported by
direct measurements of C02 in fractures in cave walls and analyses of drip waters.
The  partial pressure of C02 increases with depth, and values at the bottom of
caves are similar to spring waters.  A possible source is decay of downwashed soil
organic matter.


77:O2F-031
MATHEMATICAL MODELING OF NATURAL GROUNDWATER RECHARGE,
Krishnamurthi, N., Sunada, O.K., and Longenbaugh, R.A.
Utah International Inc., Environmental Quality Department, San Francisco, Califor-
nia.
Water Pesources Research, Vol. 13, No. 4, p 720-724, August 1977.  4 fig,  15 ref.


Descriptors:  *Groundwater recharge, *Model studies, *Mathematical models, Soil
water, Soil moisture, Capillary action, Pore pressure, Infiltration, Computer
models.

A mathematical model was presented which determines natural groundwater recharge
by using transient soil moisture data measured as a function of vertical position.
The  model was based upon the finite difference form of the Richards equation.  The
assumption was made that moisture content varies in the linear range of pressure-
moisture and conductivity-moisture relations to obtain a solution to a  particular
field problem.  The parameters of the model, estimated by a linear model of the
moisture data, characterize the hydraulic properties of soil and their  spatial
variability.  The finite difference form  of the mathematical model was  solved
by iteration using the Newtonlike method, ensuring computational speed  and accur-
acy.  The model and the computer program were verified by using the first-order,
approximate, one-dimensional solution of  the infiltration equation for  homogene-
ous  soil.  Application of the model to the High Plains of Colorado provided monthly
recharge rates which correlate adequately with the time series data of  water table
elevations and events of precipitation and ephemeral streamflow,


77:02F-032
WATER TABLE RESPONSE TO A SEQUENCE OF RECHARGES,
Chu,  S.T.
South Dakota State University, Department of Agricultural Engineering, Brookinqs,
South Dakota.
Water Resources Research, Vol. 13, No. 4, p 738-742, August 1977,  3 fig,  3 tab
11 ref.

Descriptors:   *Water table,  *Subsurface drainage, *Model studies, *Recharge, *Gro-
undwater recharge.  Mathematical models, Tile drainage, Soil water, Groundwater,
Drainage,  Fluctuations,  Hydraulic conductivity. Agriculture.
                                         22

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Water table behavior under subsurface drainage  conditions was  analyzed by  consid-
ering water table fluctuations  in  response  to a sequence of recharge  events.  The
derived solution is applicable  to  a nonhomogeneous  soil profile.  An  iteration
procedure was introduced to  illustrate  the  application of the  theoretical  results.
Agreement between theoretical analysis  and  field data was shown to be adequate.


77:02F-033
MACROSCOPIC DISPERSION  IN POROUS MEDIA:   THE CONTROLLING FACTORS,
Schwartz, F.W.
Alberta University, Department  of  Geology,  Edmonton, Alberta,  Canada.
Water Resources Research, Vol.  13, No.  4, p 743-752, August 1977.  7  fig,  10 ref,
1 append.

Descriptors:  *Dispersion, *Porous media, *Model studies, *Groundwater movement,
Mathematical models, Hydraulic  conductivity, Permeability, Porosity,  Pores, Soil
water. Soil water movement,  Soils, Soil science, Groundwater,  Subsurface flow.

One of the most important limitations to the application of modeling  techniques
for the analysis of mass transfer  in groundwater systems is the difficulty in
characterizing the dispersive character of  natural  systems.  Although large
quantities of experimental data exist for laboratory scale experiments, the hand-
ful of measurements which have  been obtained from regional systems suggest that
dispersion produced by  large-scale porous medium nonidealities is considerably
more important.  The effects of macroscopic dispersion were simulated for  uniform
heterogeneous porous media under conditions of  one-dimensional flow.  The  idealized
media considered for detailed analysis  consisted of low-permeability  inclusions
within a higher-permeability medium.  When  the  inclusions are  not arranged rather
homogeneously within the region, a unique dispersivity value for the  medium cannot
be defined, and dispersivity changes as a function  of space.   The magnitude of
dispersion is controlled by  the contrast in hydraulic conductivity between the
inclusions and the remainder of the medium, the number of inclusions, and  the mode
of aggregation.  Generally,  dispersivity was found  to decrease as the conductivity
contrast decreases and  the structure of the medium  is regularized.  It will be
possible to estimate the dispersivity of a  medium by using stochastic analysis.
Hypothetical porous media with  characteristics  similar to those of some actual
medium will yield a range of dispersivity values.   The basic data for the  tech-
nique will be detailed  statistical analysis of  the  mode of porous medium aggre-
gation and the conductivity  contrasts within the medium.


77:02F-034
SIMILARITY SOLUTIONS FOR CONVECTION OF  GROUNDWATER  ADJACENT TO HORIZONTAL  IMPER-
MEABLE SURFACES WITH AXISYMMETRIC  TEMPERATURE DISTRIBUTION,
Cheng, P., and Chau, W.C.
Hawaii University, Department of Mechanical Engineering, Honolulu.
Water Resources Research, Vol.  13, No.  4, p 768-772, August 1977,  8  fig,  2 tab,
12 ref.

Descriptors:  *Groundwater movement, *Convection, *Water temperature, *Model
studies, Mathematical models, Porous media, Groundwater, Heat  transfer, Tempera-
ture, Heat flow, Heated water,  Velocity, Permeability.

The axisymmetric buoyancy-induced  groundwater flow  adjacent to horizontal  imper-
meable surfaces, wall temperature  being a power function of radius, was discussed
in this paper.  With the boundary  layer simplifications, the governing nonlinear
partial differential equations  can be transformed into a coupled pair of nonlinear
ordinary differential equations with two-point  boundary conditions that can be
integrated numerically  by established techniques.   Simple algebraic expressions
for boundary layer thickness and heat transfer  rate were obtained.  Applications
to free convective flow in a liquid-dominated geothermal system at high Rayleigh
numbers were discussed.


77:02F-035
GROUNDWATER STORAGE RIGHTS IN THE  WESTERN STATES,
Aiken, J.D.
Nebraska-Lincoln University, Department of  Agricultural Economics, Lincoln,
Nebraska.
                                        23

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Presented at the 1977 Annual Meeting of the American Society of Agricultural
Engineers, June 26-29, 1977, Raleigh, North Carolina, North Carolina State
University, p. 1-17-

Descriptors:  Groundwater, Groundwater recharge, Groundwater basins, Ground-water
resources, Legal aspects, Legislation.

This paper summarizes statutes and related court cases from California and
Washington relating to the artificial storage and recapture of groundwater.
The paper also discusses some legal considerations states should consider in
establishing regulations for the artificial storage of groundwater.


77:02F-036
GEOELECTRIC SOUNDING FOR ESTIMATING AQUIFER HYDRAULIC CONDUCTIVITY,
Kelly, W.E.
Rhode Island University, Department of Civil and Environmental Engineering,
Kingston, Rhode Island.
Ground Water, Vol. 15, No. 6, p 420-425, November-December , 1977.  5 fig, 3 tab,
17 ref.

Descriptors:  *Hydraulic conductivity, *Resistivity, *Electrical resistance,
*Rhode Island, On-site investigations, Aquifers, Pump testing, Hydrologic pro-
perties, Permeability, Conductivity, Measurement, Equipment, Data processing,
Regression analysis, Groundwater, Hydrology.

The objective of this study was to develop surface electrical resistivity methods
for estimating hydraulic conductivities in glacial outwash materials.  Aquifer
electrical resistivities were determined from the results of Schlurnberger electri-
cal soundings at six sites in southern Rhode Island where pumping tests had pre-
viously been made.  Hydraulic conductivities and transmissivities determined
from pumping tests then were correlated with resistivities obtained from electrical
soundings.  Results indicated that electrical resistivities determined from sound-
ings can be used to predict aquifer hydraulic conductivities; -an empirical was
developed.  A semiempirical relation between aquifer formation factor and hydraulic
conductivity also was developed.


77:02F-037
THE SIGNIFICANCE AND PREDICTION OF OBSERVATION WELL RESPONSE DELAY IN SEMI-
CONFINED AQUIFER-TEST ANALYSIS,
Black, J.H., and Kipp, K.L., Jr.
Institute of Geological Sciences, Department of Hydrogeology, London (England).
Ground Water, Vol. 15, No. 6, p 446-451, November-December, 1977.  4 fig, 1 tab,
10 ref.

Descriptors:  *0bservation wells, *Water levels, *Aquifer testing, *Graphical
analysis, *Curves, Aquifers, Pumping, Equations, Leakage, Aquitards, Aquicludes,
Drawdown, Transmissivity, Storage coefficient, Hydraulic conductivity.

The concept of the observation well as a measuring instrument with its own response
characteristics was developed, and a method for response evaluation was derived
based on methods of slug-test analysis.  The effect of well response time upon the
results of semiconfined aquifer tests was calculated, and a series of type curves
was produced.  The ambiguity of observation well response affected leaky aquifer
tests was demonstrated.  A method for calculating well response time based on es-
timates of aquifer parameters and observation well dimensions also was presented
to aid the proper design of aquifer tests.  It was recommended that a slug test
should be performed on every observation well used in confined or semiconfined
aquifer tests.


77:02F-038
DETERMINATION OF TRANSPORT MODEL PARAMETERS IN GROUNDWATER AQUIFERS,
Murty, V.V.N., and Scott, V.H.
Punjab Agricultural University, Department of Soil and Water Engineering,
Ludhiana, India.
Water Resources Research, Vol. 13, No. 6, p 941-947, December 1977.  1 fig,  6  tab,
20 ref.  23 equ.

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Descriptors:  Hydrodynamics, Groundwater, Aquifers, Model  studies, Groundwater
resources, Groundwater movement.

The hydrodynamic dispersion coefficients  in  groundwater  aquifers can be deter-
mined from observed values of  solute  concentrations.  For  a two-dimensional
aquifer in which the concentrations of a  solute  are known, an algorithm is de-
veloped to determine the values of longitudinal  and transverse dispersivities.
Concentration polynomials are  developed by using double  interpolation  for a set
of selected values of longitudinal and transverse dispersivities.  With two of
the polynomials, Newton's method  is used  to  find the roots which are the values
°f the longitudinal dispersivity  and  the  ratio of longitudinal to transverse
dispersivities.  With more than two polynomials  an optimization approach is used
in arriving at the values.  The methods converge to the  true values for a good
initial estimate of the values.


77:02F-039
A MODIFIED OPTIMIZATION METHOD OF ESTIMATING AQUIFER PARAMETERS,
Navarro,  A.
United Nations, Centre for Natural Resources, Energy, and  Transport/Economic
and Social Affairs Department, Water  Resources Branch, New York  10017.
Water Resources Research, Vol. 13, No. 6, p  935-939, December 1977.  3 tab,
15 ref, 11 equ.

Descriptors:  Optimization, Aquifers, Groundwater, Groundwater movement, Ground-
water resources, Aquifer characteristics, Mathematical studies, Model  studies.

A modified optimization method for estimating transmissivity and storativity
parameters has been utilized  for  the  fast calibration of mathematical models of
transient aquifers.  The method provides  usable  solutions  at an intermediary
point between the minimization of residuals  in the water budget equations and
the similitude of solutions to field  estimations of parameters T and S.  Four
field examples of the use of  the  method are  given and discussed in terms of
relative  accuracy of results.


77:02F-040
CHEMICAL  DYNAMICS OF A CONFINED LIMESTONE AQUIFER,
LeFebre,  V.
New Mexico  Institute of Mining and Technology, Department  of Physics, Socorro,
New Mexico.
Available from the National Technical Information Service, Springfield, Virginia
22161 as  PB-265666, Price codes:  A12  in paper copy, A01  in microfiche.  New
Mexico Water Resources Research Institute, Las Cruces, WRRI Report No. 084, March
1977, 253 p, 16  fig, 4 tab, 6  ref, 3  append.

Descriptors:  *Aquifer characteristics, *Groundwater, *Groundwater movement,
*New Mexico, Saline water intrusion,  Physicochemical properties, Flow characteris-
tics. Time, Velocity, Limestone,  Recharge, Dissolved oxygen, Ions, Artesian
aquifers.

The evolution of groundwater  in the Roswell  Limestone Aquifer is measured using
some ordinary and easily determined characteristics of the water.  Randomness
caused by analytical error and matrix inhomogeneity is suppressed by dividing the
study area  into  subsections on the basis  of  hydrologic function and by using
averaged  values  of the measured characteristics  to describe each subdivision.
Temperature, ionic solute concentrations, calcite saturation, and dissolved oxygen
content change in a reasonably steady and monotonic manner as the water flows from
the recharge to  the discharge  region.  Simple models are developed to quantify the
oxygen and  temperature measurements.  On  the basis of these models the groundwater
flow is found to be a factor  of 6 faster  in  the  northern part of the Roswell Lime-
stone Aquifer and the residence time  is a factor of 3 longer in the southern part.
Solute concentrations indicate intrusion  into the northeast corner of  the Limestone
Aquifer from an  upper Alluvium Aquifer.   This study demonstrates that  groundwater
evolves in  a measurable manner as it  flows through an aquifer.  Both physical
 (temperature) and chemical  (oxygen content and calcite saturation) parameters change
in a predictable fashion.
                                         25

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77:02F-041
IRRIGATION WASTEWATER DISPOSAL WELL STUDIES—SNAKE PLAIN AQUIFER,
Graham, W.G., Clapp, D.W., and Putkey, T.A.
Idaho Department of Water Resources, Statehouse, Boise, Idaho  83720.
Publication No. EPA-600/3-77-071, June 1977.  51 p, 8 fig, 22 tab, 13 ref.

Descriptors:  Runoff, Idaho, Irrigation, Irrigation effects, Aquifers, Water
quality.

Drain wells are used to dispose of excess irrigation and surface runoff water
from approximately 320,000 acres of agricultural land within the eastern Snake
River Plain area of southern Idaho.  The impact of this practice on the under-
lying Snake River Plain aquifer, the primary source of potable water for approxi-
mately  140,000 people, was not understood.  Thus, an investigation was initiated
to evaluate the impact of irrigation disposal well practices on the water quality
of the  Snake Plain aquifer.


77:02F-042
NEBRASKA'S GROUND WATER MANAGEMENT ACT,
Axthelm, D.D.
Nebraska University, Department of Agricultural Engineering, Lincoln, Nebraska.
Presented at the 1977 Winter Meeting of the American Society of Agricultural
Engineers, December 13-16, 1977, Palmer House Hotel, Chicago, Illinois, p 1-5,
4  ref.

Descriptors:  Nebraska, Groundwater, Groundwater resources, Law enforcement.

The Ground Water Management Act in Nebraska is becoming operational.  It is being
put into effect in a deliberate and orderly manner by the Natural Resources
Districts of Nebraska as dictated by state statute.


77:02F-043
GROUNDWATER MANAGEMENT POLICIES:  THE VIEWS OF THE PEOPLE,
Baird,  F.L.
Texas Tech University, Department of Political Science, Lubbock, Texas.
Proceedings of the 1977 Annual Technical Conference, Irrigation For All Reasons,
p  137-160, February 13-15, 1977.  1 fig, 14 tab, 29 ref.

Descriptors:  Groundwater, Groundwater basins, Groundwater potential, Groundwater
resources, Texas, Irrigation, Urbanization.

The primary objective of this study was to measure the attitudes toward alterna-
tive public institutions for groundwater planning and management on the Texas High
Plains.  More specifically, the objectives of this project were  (1)  To determine
the attitudes of irrigation farmers in the High Plains of Texas toward various
possible forms for the planning and management of groundwater, whether such regu-
lations be individual, local, state, national or some combination of these, (2)
To measure and analyze the attitudes of urban residents in a Standard Metropolitan
Statistical Area (SMSA) of the region toward the same topic, and  (3)  To measure
the attitudes of college students toward these.


77:02F-044
PRACTICAL GROUND WATER MANAGEMENT,
Axthelm, D.D.
Nebraska University, Department of Agricultural Engineering, Lincoln, Nebraska.
Proceedings of the 1977 Annual Technical Conference, Irrigation For All Reasons,
p 168-172, February 13-15, 1977.

Descriptors:  Groundwater, Irrigation, Groundwater resources, Groundwater recharge,
Groundwater mining, Groundwater basins, Nebraska, Natural resources, Resources.

The emphasis on groundwater  development for irrigation lasted about a century.
Concern has now shifted from development to management of the groundwater resources.
This emphasis will continue indefinitely.  There is a current need to develop
practical management methods and techniques.
                                         26

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77:02F-045
STEADY STATE BI-LEVEL SUBSURFACE DRAINAGE THEORY  FOR  SOILS OF VARYING HYDRAULIC
CONDUCTIVITY,
Acharya, H.S.
Marathwada Agricultural University, Department  of Agricultural Engineering,
Parbhani (India).
Transactions of  the American  Society of Agricultural  Engineers, Vol. 20, No.  2,
p 276-277, March-April, 1977.   3 fig, 1 tab,  4 ref.

Descriptors:  *Drainage,  *Hydraulic conductivity, *Water  table, *Model  studies,
Mathematical models, Tile drainage, Equations,  Subsurface drainage, Groundwater,
Groundwater movement, Hydrology.

In practice, various situations exist where  hydraulic conductivity varies with
depth.  Soils with varying clay percentage,  with  varying  stone content, or with
layers of different types of  soils form a few examples of such situations.  The
aim of this article was to study the steady-state bi-level subsurface drainage
problem for soils with varying hydraulic conductivity. Cases of constant hydraulic
conductivity follow as special cases of the  analysis.


77:02F-046
ESTIMATION OF AQUIFER DIFFUSIVITY  IN STREAM-AQUIFER SYSTEMS,
Singh, S.R., and Sagar, B.
Punjab Agricultural University, Department of Soil  and Water Engineering, Lud-
hiana  (India).
Journal of the  Hydraulics Division, American Society  of Civil Engineers, Vol. 103,
No. HY11, Proceedings Paper  13362, p 1293-1302, November  1977.  1 fig,  2 tab,
18 ref.

Descriptors:  *Diffusivity,  *Aquifers, *Groundwater,  *Mathematical models, *Streams,
Equations, Hydrographs, Model  studies, Aquifer characteristics. Water levels,
Hydraulic gradient.

By specifying an extra boundary condition in terms  of hydraulic gradient at the
stream-aquifer  interface  and by using  the Green's function of the linearized
Boussinesq equation, analytical solutions were  developed  to determine aquifer dif-
fusivity explicitly.  Four different types of Dirichlet boundary condition descri-
bing  stream gage hydrographs were  employed.  They were: (1) linearly rising water
level  in the  stream;  (2)  exponentially rising water level in the stream;  (3) water
level  represented by a sinusoid; and  (4) hydrographs  approximated by cubic splines.
The last one  is quite general and  is capable of analyzing different shapes of
smooth  stream hydrographs expected to  occur  in  nature. Hydraulic gradient at the
interface was computed using splines.  The solutions  were validated by  analyzing
the stream-aquifer data observed in a  sand tank model. They yielded consistent
values  of the aquifer diffusivity  at different  times  and, therefore, are useful
in determining  the parameter of the aquifers contiguous to streams.


77:02F-047
UNSTEADY FLOW TO A PUMPED WELL IN  A FISSURED WATER-BEARING FORMATION,
Boulton, M.S.,  and Streltsova, T.D.
Sheffield University, Department of Civil and Structural  Engineering,  (England).
Journal of Hydrology, Vol.  35, No. 3/4, p 257-269,  November 1977.  9 fig, 3 ref.

Descriptors:  *Unsteady  flow, *Groundwater movement,  *Mathematical models, *Fissures
 (geologic),  *Water wells, Equations, Drawdown, Compressibility, Permeability,
Curves, Hydraulic properties, Porosity, Aquifer characteristics, Pumping, Dis-
charge  (water), Flow.

New equations were derived  for the drawdown  in  a  water-bearing fissured rock  for-
mation, consisting of a  set  of horizontal low-permeability porous blocks separated
by highly permeable  fissures.  Porous  blocks and  fissures were assumed  to be  com-
pressible.  The depth of  the fissure  is small compared with that of the block.
The abstraction well, lined  along  the  block, is pumped at a constant rate.  The
discharge per unit length of the unlined part in  the  fissure  is constant, and the
radius  of the well is vanishingly  small.  Type  curves for the drawdown  in the
fissure and the porous block were  computed and  plotted for some selected para-
meters  involved. Procedure  for determining  the fissured  aquifer parameter con-
stants was outlined.
                                          27

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 77:02F-048
 UNSTEADY FLOW TO A PUMPED WELL IN A TWO-LAYERED WATER-BEARING FORMATION,
 Boulton, N.S., and Streltsova, T.D.
 Sheffield University, Department of Civil and Structural Engineering,  (England).
 Journal of Hydrology, Vol. 35, No. 3/4, p 245-256, November 1977.   5  fig,  1  ref.

 Descriptors:  *Unsteady flow, *Groundwater movement, *Mathematical  models, *Water
 wells, Equations, Drawdown,  Fissures (geologic), Discharge (water), Curves, Pumping,
 Compressibility, Hydraulic properties, Aquifer characteristics.


 New  equations were derived for the drawdown in an aquifer, consisting of two
 horizontal layers, referred to as the block and the fissure, which  have different
 hydraulic properties.  The block and the fissure are compressible.  Account  was
 taken  of both the horizontal and vertical flow components  in the block and the
 fissure.  The depth of the fissure was assumed to be small compared with that of
 the  block.   The  abstraction well, which is pumped at a constant rate, has  a  van-
 ishingly small radius.  Type curves for drawdown in the fissure and the block were
 computed and plotted  for some values of the aquifer constants involved.


 77:02F-049
 THE  KINETICS OF  MINERAL DISSOLUTION IN CARBONATE AQUIFERS AS A TOOL FOR HYDRO-
 LOGICAL INVESTIGATIONS, II. HYDROGEOCHEMICAL MODELS,
 Mercado, A.
 Tahal-Water  Planning  for Israel Ltd., Tel Aviv.
 Journal of Hydrology, Vol. 35, No. 3/4, p 365-384, November 1977.   10 fig, 13 ref.

 Descriptors:  *Dissolved solids, *Mineral water, *Transmissivity, *New Mexico,
 Model  studies, Mathematical models. Aquifers,  Limestones,  Hydrology, Water quality,
 Chemicals, Water chemistry, Groundwater, Groundwater movement, Spatial distribu-
 tion,  Hydraulic  conductivity, Permeability, Recharge, Rainfall.


 A general differential equation, describing the dissolution of minerals and  the
 transport of their products in porous media, was derived and simplified for  the
 case of steady-state, nonequilibrium distribution of solutes in confined carbonate
 aquifers.  The numerical solution of the equation, 'which represents the hydrogeo-
 chemical model of a given aquifer, was based on the transformation  of aquifer
 space  coordinates into time coordinates of "tracing points" moving  along ground-
 water  streamlines, followed by an inverse transformation which yields theoretical
 water  quality maps.   The applicability of the model for integrating hydrologic
 and  geochemical  data  in aquifers was demonstrated for the  limestone aquifer  of
 Roswell, New Mexico.


 77:02F-050
 NONLINEAR DIFFUSION APPLIED TO GROUNDWATER CONTAMINATION PROBLEMS,
 Basak, P., and Murty, V.V.N.
 Punjab Agricultural University, Department of Civil Engineering, Ludhiana. India,
 Journal of Hydrology, Vol. 35, No. 3/4, p 357-363, November 1977.   5  fig,  5  ref.

 Descriptors:  Mathematical studies, Diffusion, Groundwater, Groundwater movement,
 Groundwater resources, Aquifers, Water quality, Water pollution.

 An analytical solution to the problem of concentration dependent diffusion with in^
 creasing concentration at the source is presented.  The solution is of traveling
 wave type and is applied to predict the contamination in an aquifer from a source
 wherein the contamination concentration is increasing with time,


 77:02F-051
 PUMP TESTING IN HETEROGENEOUS AQUIFERS,
Vandenberg,  A.
 Inland Waters Directorate,  Environment Canada, Ottawa, Ontario, Canada.
Journal of  Hydrology,  Vol.  34, No. 1/2, p 45-62, July 1977.  12 fig,  1 tab,  11 ref.
                                         23

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Descriptors:  Model studies, Aquifers, Groundwater, Groundwater resources,
Simulation analysis, Pump testing, Pumping plants, Pumps, Transmissivity.

A finite-difference model of an infinite horizontal nonleaky aquifer was used
to simulate a constant-rate pump test in a heterogeneous aquifer; the values
of transmissivity specified for the nodes of the finite-difference grid were
chosen at random from a uniform distribution over the interval 0-0.1 m sq/min
and the_ratio transmissivity/storativity was kept constant.  The spacing of
the finite-difference grid was 10 m in the vicinity of the pumped well at the
center of the grid and became progressively wider towards the boundaries of
the square area.  The boundaries were located at a distance of 23 km from
the well.


77:02F-052
NON-DARCY FLOW  AND  ITS  IMPLICATIONS TO SEEPAGE  PROBLEMS,
Basak, P-
Punjab Agricultural University, Department of Civil Engineering, Luhiana  (India)
Journal  of  the  Irrigation  and  Drainage Division, American Society of Civil
Engineers,  Vol.  103, No.  IR4,  Proceedings Paper 13442, p 459-473, December 1977.
9  fig, 4 tab, 44  ref.

Descriptors:  *Drainage,  *Seepage,  *Darcys law, Drainage systems,  Porous media,
Confined water,  Analytical techniques, Hydraulics, Equations, Flow, Discharge
 (water).

Analytical  solutions  for  the  problems of drainage  spacing in a ditch drainage
system and  steady-state seepage through confined aquifer of variable thickness
incorporating Izbash's  nonlinear  velocity-gradient response v = M times  i to
the nth  power were  presented.  The  effect on  nonlinearity in the flow response
on the drainage spacing,  discharge  characteristics, and  piezometric pressure
distribution in relation  to the corresponding Darcian  linear case was brought
out.  The  solutions derived showed  that nonrecognition of even a weak non-
Darcy flow  would lead  either  to an  uneconomical or an unsafe   (depending  on
the value  of non-Darcy  parameter  n) drainage  spacing  for ditch drainage  pro-
blems and would lead  to considerable  over or  under prediction of discharge for
confined aquifer problem.   Apart  from the previously mentioned analytical
solutions,  a perspective  view of  non-Darcy  flow through  porous media was  in-
corporated, and its importance in various drainage projects was examined.
                                       29

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                                   SECTION  VI


                                   WATER CYCLE

                           WATER IN SOILS  (GROUP 02G)


77-.02G-001
A COMPARISON OF IN SITU EXTRACTORS FOR SAMPLING SOIL WATER,
Levin, M.J., and Jackson, D.R.
Oak Ridge National Laboratory, Environmental Sciences Division, Tennessee.
Soil Science Society of America Journal, Vol.  41, No.  3, p 535-536, May-June,
1977.  1 fig, 1 tab, 3 ref.

Descriptors:  *Soil water, *Sampling, *Aqueous solutions, Solvents, Lysimeters,
Tensiometers, Laboratory tests. Evaluation, Equipment, Leaching, Leachate, Soil
science.

Comparisons were made between two in situ extractors for collection of soil water
samples:  Amicon hollow fibers and porous ceramic cup lysimeters.  Intact soil
cores removed from a fescue pasture were fitted with lysimeters and fibers at 10
and 20 cm depth.  Cores were leached by adding increments of water in excess of
field capacity weekly.  After drainage, soil solutions were extracted using
lysimeters and fibers.  Concentrations of Ca and Mg in soil solutions were greater
at 10-cm than at 20-cm soil depths.  Neither extractor altered the concentrations
of Ca, Mg, or P04-P during collection.  The studies suggest that lysimeters and
hollow fibers are viable devices for extracting of soil water samples.  Porous
ceramic cup lysimeters are preferable for field plots, while hollow fibers are
advantageous for intact soil cores.  A major advantage of the hollow fiber tech-
nique is the small soil displacement required for installation.


77:02G-002
EXPERIMENTAL STUDIES OF WETTING FRONT INSTABILITY INDUCED BY GRADUAL CHANGE OF
PRESSURE GRADIENT AND BY HETEROGENEOUS POROUS MEDIA,
White, I., Colombera, P.M., and Philip, J.R.
Commonwealth Scientific and Industrial Research Organization, Division of En-
vironmental Mechanics, Canberra (Australia).
Soil Science Society of America Journal, Vol.  41, No, 3, p 483-489, May-June,
1977.  7 fig, 3 tab, 15 ref.

Descriptors:  *Infiltration, *Porous media, *Laboratory tests, Soil water, Soil
water movement. Model studies, Mathematical models, Soils, Pressure, Hydraulic
conductivity, Soil science, Soil physics.

The stability of infiltration flows in Hele-Shaw cells was examined.  Flows were
perturbed either by gradually increasing G, the pressure gradient behind the wet-
ting front, or by heterogeneities in the cells.  Two methods were used to increase
G gradually through zero:  (1) by allowing the air ahead of the front to be com-
pressed by the flow, and (2)  by monotonically increasing the hydraulic conductivity
of the cell with depth.  In the other class of experiments, the flow was instan-
taneously perturbed by a step-increase in conductivity at selected depths.  It was
found that Philip's stability analysis adequately predicted both the onset of in-
stability and the wavelength of the initial disturbances.  For quadratic increase
in conductivity with depth, the observed growth rate of disturbances was faster
than expected from the linear theory.  Examination of the data of Peck and of
Hill and Parlange showed that Philip's analysis is also adequate for coarse sands.


77:02G-003
MODEL CALCULATIONS FOR THE EXTRACTION OF SOIL WATER BY CERAMIC CUPS AND PLATES,
van der Ploeg, R.R., and Beese, F.
Institute of Soil Science and Forest Nutrition, Goettingen  (West Germany),
                                         30

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Soil Science Society of America Journal, Vol.  41, No.  3, p 466-470, May-June, 1977.
5 fig, 2 tab, 20 ref.

Descriptors:  *Soil water, *Soil water movement, *0n-site investigations, Percola-
tion, Unsaturated flow. Seepage, Sampling, Soil moisture, Model studies, Mathemati-
cal models, Soils, Soil science, Soil physics.

A numerical method was developed with which the flow of moisture towards suction
units in soil can be evaluated.  For a number  of selected problems, the unsaturated
moisture flow_equation was solved twice:   (1)  for radial flow towards a suction
plate or suction cup; and  (2) for vertical downwards flow under the same conditions,
but without a suction unit in the soil.  The calculations were performed for a flat
soil without a plant cover.  It was found that even for little vacuum, large dif-
ferences may exist between the seepage rate as determined from a suction unit as
compared to the seepage rate of the unextracted soil.  It was shown also that the
radius of influence of a suction unit, which extracts  water continuously, can be
several feet wide.  It was concluded that in order to  be reliable, data collected
with suction units should be analyzed with care.


77:02G-004
WATER AND SALT FLOW THROUGH COMPACTED CLAYS: I. PERMEABILITY OF COMPACTED ILLITE
AND MONTMORILLONITE,
Rolfe, P.F., and Aylmore, L.A.G.
Western Australia University, Extension  Service, Nedlands.
Soil Science Society of America Journal, Vol.  41, No.  3, p 489-495, May-June,
1977.  4 fig, 3 tab, 47 ref.

Descriptors:  *Permeabllity, *Clays, *Salts, Laboratory tests, Montmorillonite,
Illite, Chlorides, Cations, Pressure, Soil water movement, Solutions, Sodium
chloride, Cesium, Calcium chloride. Chemistry, Soil water, Soil science.

Studies have been made of the pressure-induced flow of the chloride solutions of
various monovalent, divalent and trivalent cations, at various concentrations,
through compressed Wyoming bentonite and Willalooka illite cores.  The majority
of the measurements were carried out on  the Willalooka illite core, and its per-
meability has been shown to depend markedly on the nature and concentration of
the cations present, with three- to fourfold variations being observed in some
instances.  At the lower electrolyte concentrations, permeability increases in
the order Na less than Ca less than Ba less than La less than Cs at a given con-
centration.  In addition, the permeability increases linearly with flow pressure
to an extent ranging from some 15% for the Na  systems  to 97% for the 3.0 M LaC13
system over the pressure range examined.  The  contributions to the permeability
changes arising from mechanical expansion of the flow  cell, particle rearrange-
ments and the etectroviscous effect have  been shown to  be quite inadequate to ac-
count for the major changes observed.  It was  suggested that the most significant
effects arise as a result of the influence of  cationic size, charge, and concen-
tration of  the vicosity of the several layers  of coerced water which form adjacent
to the clay surfaces.  Coercion of water may arise partly through its association
with  the exchangeable cations adsorbed on the  surface  or forming diffuse double
layers, but mainly from the preferred or unique water  structure developed in
proximity to the clay surface.  In particular, increasing concentrations of Cs,
Ca and La cations appear to cause a pronounced breakdown in water structure within
the pores.


77:02G-005
FALL  SOIL WATER:  EFFECT ON SUMMER SOIL  TEMPERATURE,
Willis, W.O., Wierenga, P.J., and Vredenburg,  R.T.
Agricultural Research Service, Fort Collins, Colorado.
Soil Science Society of America Journal, Vol.  41, No.  3, p 615-617, May-June, 1977.
5 fig, 10 ref.

Descriptors:  *Soil temperature, *Soil water,  *Effacts, *North Dakota, Soil mois-
ture, Crops, Wheat, On-site investigations, Model studies, Mathematical models,
Forecasting, Analytical techniques, Soil properties, Thermal properties, Soil-
water-plant relationships, Soil investigations, Soil science, Agriculture.
                                         31

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Soil temperature with depth (to 150-cm)  and time (April through September) was
measured in field plots in North Dakota to determine the effect of three depths
of wetting in late fall before freezing on the growing season soil temperature   _
the following year.  All plots were planted with spring wheat and received identi-
cal treatment during the growing season.  The data indicated that a high soil
water content in the fall may cause soil temperature in the 30- to 120-cm depth
to be 1 to 2 C lower than normal during the next year's growing season, particu-
larly if that season has lower-than-normal precipitation.   By using soil temp-_
erature values from the 15-cm and 120-cm depths as the upper and lower boundaries,
calculated soil temperatures agreed better with measured values than when 0.2-
cm and 120-cm depths were used as boundaries.


77:02G-006
EVALUATION OF THEORETICALLY PREDICTED THERMAL CONDUCTIVITIES OF SOILS UNDER FIELD
AND LABORATORY CONDITIONS,
Hadas, A.
Agricultural Research Organization, Institute of Soil and  Water, Bet-Dagan (Israel) .
Soil Science Society of America Journal, Vol. 41, No. 3, p 460-466, May-June,
1977.  7 fig, 18 ref.

Descriptors:  *Soil water movement, *Heat transfer,  *Water vapor, Soil moisture.
Soil water, Soil temperature, Irrigation, Irrigation effects, Thermal conductivity,
Model studies, On-site investigations, Laboratory tests, Soil physics, Agriculture,
Soil science.

In the literature one finds claims that the Philip-deVries model of heat and mois-
ture transfer fails to predict the amounts of water moved  by vapor transfer.   In
the work reported here, an attempt was made to check and to verify the predictive
capabilities of the deVries, Philip and deVries models for vapor transfer by eval-
uating the latent heat transfer carried by vapor rather than to account for vapor
flow from the usually performed total moisture balance.  It was found that the
deVries model predicts accurately the transfer of heat by  vapor under steady-state
conditions, but the model underestimates transfer of heat  under nonsteady-state
conditions.  The possibility that the assumed diffusive Vapor transport should be
corrected by including "enhancement factors" so as to incorporate local thermal
gradients and mass movement induced vapor transfer,  not accounted by the present
model, was brought up; and the nature of the enhancement factors and the impli-
cations to field conditions were discussed.


77:020-007
DIURNAL SOIL WATER REGIME IN THE TILLED PLOW LAYER OF A WARM, HUMID CLIMATE,
Bruce, R.R., Thomas, A.W., Harper, L.A., and Leonard, R,A,
Southern Piedmont Conservation Research Center, Watkinsville, Georgia.
Soil Science Society of America Journal, Vol. 41, No. 3, p 455-460, May-June,
1977.  12 fig, 1 tab, 14 ref.

Descriptors:  *Soil water, *Diurnal, Cultivation, *Humid climates, Depth, Soil
temperature, Air temperature, Wind velocity, Vapor pressure, Water vapor, On-
site investigations, Humid areas.

The soil water content in 10 depth intervals in the surface 15 cm of soil was deter-
mined hourly for 9 days in June at 83 deg 25 min W,  33 deg 52 min N,  Over the
same period at 15-min intervals, soil temperatures were measured at eight depths,
wind-speed and air temperatures at six elevations, atmospheric water vapor pres-
sures at three elevations, incident solar and net radiation at one meter.  From
the microclimate data, flux of water vapor at the soil surface was calculated,
which was then used to compute soil water flux at several depths by using soil
water content data.  The diurnal soil water content and soil water flux patterns
were compared for a dry period before a rainfall event and afterward.  Dramatic
diurnal variation of the soil water content at depths less than 2 cm was observed.
The variation during periods of no rain is related to daily radiation inputs at
the soil surface, which generated the observed temperature and soil water gradients
responsible for soil water redistribution.  Occurrence of rainfall and infiltration
events during the measurement period showed additional dynamics of the field sy-
stem.   Descriptions of the diurnal soil water dynamics in the plow-layer provide
a  basis for examining soil processes dependent upon soil water regime.
                                         32

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77:02G-008
AUTOMATIC FEEDBACK CONTROL TO MAINTAIN  CONSTANT  SOIL MOISTURE  TENSION  IN THE
STUDY OF DROUGHT TOLERANCE IN RJ.CE ,
Alvarez, E.I., and De Datta, S.K.
International Rice Research  Institute,  Department  of Agronomy, Los Banos, Laguna
(Philippines).
Soil Science  Society of America Journal, Vol.  41,  No.  3, p  452-454, May-June,
1977.  3 fig, 2 tab, 9 ref,

Descriptors:  *Moisture tension,  *Soil  moisture, *Rice, *Soil-water-plant rela-
tionships, Greenhouses, Evapotranspiration,  Laboratory equipment, Moisture  stress,.
Perlite, Osmotic pressure, Tensiometers, Analytical techniques.

A greenhouse  technique was developed  by which  a  chosen soil moisture tension can
be maintained continuously.  The  setup  for  supply  water at  relatively  constant
soil moisture tension in  pots includes  five major  components:  water tank,  W-
tube, water distribution  system,  soil moisture tension sensors,  and pots.   The
W-tube, which contains a  predetermined  amount  of Hg, controls  the soil moisture
tension in the pots.  Water  can flow  freely from the tank to the pots  through
the distribution system whenever  the  soil moisture tension  exceeds that desired.
Response to the sensors'  demand for water is rapid.  This setup  was used success-
fully to compare relative drought tolerance of rice varieties  and breeding  lines.
Another use of the setup  might be to  measure evapotranspiration  (ET) almost in-
stantaneously; the technique might be useful in  some soil-plant-atmosphere-
water relationship studies.


77:02G-009
EXPERIMENTAL  TEST OF THE  LANGEVIN EQUATION  AS  A  MODEL  FOR WATER  FLOW THROUGH
UNSATURATED SOIL,
Sposito, G.,  Sullivan, P-, and Gupta, V.
California University, Department of  Soil Science  and  Agricultural Engineering,
Riverside, California.
Soil Science  Society of America Journal, Vol.  41,  p 820-822, 1977. 2 fig, 19 ref,
8 equ.

Descriptors:  *Model studies,  *Unsaturated  flow, *Soil water movement, *Hydraulic
conductivity, *Diffusivity,  Equations,  Soil moisture.

The parameters that appear in the Langevin  Equation, a molecular model for  the
flow of water through soil,  are expressed as functions of the  hydraulic conducti-
vity, the water diffusivity, and  the  soil water  matric potential. This permits
the parameters to be calculated using available  data on the transport  properties
of homogeneous, unsaturated  soils.   Since the  parameters must  have values lying
within  certain ranges in  order that  the Langevin Equation and  the Markovian
hypothesis on water  flow  that  comes  from it be applicable,  it  is possible to test
the  equation  and  the hypothesis experimentally.  The results for 15 different
soils shows  that:   (1) the equation  and the Markovian  hypothesis are consistent
with soil water data  for  homogeneous, unsaturated  soils throughout the normal
field range  of water content and  (2)  the molecular parameters  in the Langevin
Equation  show the  same behavior for  a wide  variety of  soils when they  are ex-
pressed as  functions of the  matric potential.


77:026-010
INFLUENCE OF  SOIL  PROPERTIES,  LEACHING  FRACTION, AND PLANT  WATER UPTAKE ON  SOLUTE
CONCENTRATION DISTRIBUTION,
Jury, W.A.,  Fluhler, H.,  and Stolzy,  L.H.
California  University, Department of  Soil Science  and  Agricultural Engineering,
Riverside, California.
Water Resources Research, Vol.  13, No.  3, p 645-650, June  1977.  9 fig,  1 tab,
19 ref.

Descriptors:  *Leaching,  *Soil water  movement, *Soil properties, laboratory
tests,  Moisture content,  Lysimeters,  Solutes,  Soil water, Water  quality, Soil
moisture, Model studies,  Mathematical models,  Simulation  analysis, Profiles,
Distribution  patterns, Soils,  Hydraulic conductivity.  Clay  loam, Loam, Water
balance.

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Studies of salt movement through 24 cropped lysimeters receiving high-salinity
irrigation were reported.  A great deal of variability was found between depth-
equivalent salinity sensor readings during the experiment, both between different
lysimeters receiving the same water and salt inputs and among lateral replicates
within each lysimeter.  A computer simulation of the first 75 days of the experi-
ment, using the measured soil properties and external inputs, alternately varied
the hydraulic conductivity-water content relation, the irrigation flux, and  the
water uptake distribution by an amount consistent with the uncertainty in their
measurement to see the effect on solute concentrations.  It was found that large
variations in the conductivity-water content relations and 10% uncertainty in
the input flux had little effect on solute concentrations, but that variations
in the water uptake patterns within the top 60 cm created a large distribution
of concentrations at a given depth and time.


77:02G-011
ESTIMATING THE EFFECTIVE CAPILLARY PRESSURE IN THE GREEN AND AMPT INFILTRATION
EQUATION,
Brakensiek, D.L.
Agricultural Research Service, Northwest Watershed Research Center, Boise, Idaho.
Water Resources Research, Vol. 13, No. 3, p 680-682, June 1977.  1 fig, 1 tab,
7 ref.

Descriptors:  *Infiltration, *Mathematical models, *Pore pressure, *Capillary
water, Capillary conductivity, Model studies, Loam, Moisture content, Soils,
Pressure, Groundwater movement, Wetting, Estimating.

A considerable amount of research indicates that the Green and Ampt infiltration
equation can be used in hydrologic modeling with confidence.  The parameters,
however, still require considerable field and/or laboratory effort to determine
estimated values.  Reported were alternatives for determining the average wetting
front capillary pressure parameter.  Only a moisture-characteristic would be
required.


77:026-012
MASS TRANSFER STUDIES IN SORBIN POROUS MEDIA;  II.  EXPERIMENTAL EVALUATION WITH
TRITIUM  (3H20) ,
van Genuchten, M.T., and Wierenga, P.J.
New Mexico State University, Department of Agronomy, University Park, New Mexico.
Soil Science Society of America Journal, Vol. 41, No. 2, p 272-278, March-April,
1977.  6 fig, 3 tab, 21 ref, 1 append.

Descriptors:  *Tritium, *Mass transfer, *Porous media, *Sorption, Diffusion,
Curves, Adsorption, Soil aggregates, Unsaturated flow, Mathematical models,
Clay loam, Laboratory tests, Equations,

A comparison was made between observed tritium effluent concentration distributions
and those calculated with a previously published analytical solution for the move-
ment of chemicals through unsaturated, aggregated sorbin media.  In the analytical
model, the liquid phase of the soil was divided into mobile and immobile regions,
with transfer between the two regions diffusion controlled.  Effluent data ob-
tained from several displacements of tritium through a 30-cm long columns of
Glendale clay loam were used to determine the different parameters in the analyti-
cal solution by curve fitting.  The data indicated some adsorption or isotopic
exchange of tritium during its flow through the soil columns.  The amount of im-
mobile water increases with decreasing flow velocity and increasing aggregate size,
and varies between 6 and 45% of the total volume of water in the columns.  The
analytical solution provided an excellent description of the experimental effluent
data,  and showed that tailing can be explained satisfactorily by diffusional ex-
change of tritium between mobile and immobile regions of the soil.


77 :O2G-013
MASS TRANSFER STUDIES IN SORBING POROUS MEDIA:  III.  EXPERIMENTAL EVALUATION WITH
2, 4,  5-T,
van Genuchten, M.T.,   Wierenga, P.J., and O'Connor, G.A.
New Mexico State University, Department of Agronomy, University Park, New Mexico.
Soil Science Society of America Journal, Vol. 41, No. 2, p 278-285, March-April,
1977.   6 fig,  3 tab, 16 ref,

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Descriptors:  *Mass transfer, *Sorption,  *Porous media, Diffusion, Adsorption,
Unsaturated flow, Hysteresis, Soil aggregates, Clay  loam, Laboratory  tests,
Curves, Mathematical models.

Comparisons were made between observed  and  calculated  effluent concentration
distribution for the movement of  2,  4,  5-T  (2,4,5-trichlorophenoxyacetic acid)
through 30-cm long unsaturated  soil  columns.   The  comparisons were made using
both analytical and numerical solutions of  a previously published model, which
included the effects of  intra-aggregate diffusion  and  adsorption.  The results
in this  study indicated that intra-aggregate  diffusion and  adsorption/desorption
are the main mechanisms  responsible  for effluent tailing.  An estimated 60% of
the adsorption was found to occur in the  stagnant  region of  the  soil.  When in-
tra-aggregate diffusion  was included in the model, the observed  adsorption/de-
sorption hysteresis phenomenon  found to be  significant in several earlier
studies was shown to be  much less important in describing the observed concen-
tration distributions.


77:02G-014
MODELING SOIL WATER HYDROLOGY UNDER  A POST  OAK (QUERCUS STELLATA WANGENE)  -
SHORTLEAF PINE  (PINUS ECHINATA  MILL.) STAND IN EAST  TEXAS,
England, C.B.
Agricultural Research Center, Hydrograph  Laboratory, Beltsville, Maryland.
Water  Resources Research, Vol.  13, No.  3, p 683-686, June 1977,  3 fig, 1  tab,
20 ref.

Descriptors:  *Soil water,  *Model studies,  *Forest watersheds, *Texas, Computer
models, Mathematical models, Soil water movement,  Oak  trees, Pine trees, Hydrology,
Hydrologic  aspects, Hydrologic  systems,  Infiltration, Evapotranspiration,
Watersheds  (basins), On-site investigations.

A digital model of watershed hydrology  successfully  computed daily soil water
contents of the two upper layers  in  a Boswell  soil under an  east Texas post oak -
shortleaf pine  stand throughout 4 years (1957-1960).   The experiment  demonstrated
the fidelity of the model components to the prototype  system elements.  In ad-
dition, the experiment provided parameters  useful  in applying the model for
elucidating the hydrology of watersheds containing oak-pine  forests,


77:020-015
MODEL  OF SALT FLOW IN SOIL  WITH A SOURCE-SINK  TERM,
Melamed, D., Hanks, R.J., and Willardson, L.S.
Utah State  University, Department of Soil Science, Logan, Utah.
Soil Science Society of  America Journal,  Vol.  41,  No.  1, p 29-33, January-February,
1977.   4 fig, 12  ref.

Descriptors:  *Saline soils, Irrigation, *Salts,  *Model studies, Mathematical
models, Laboratory tests, On-site investigations,  Soil properties, Salinity,
Electrical  conductance,  Conductivity, Soil  chemical  properties,  Effluents, Chemical
precipitation,  Leaching,  Soil science,  Path of pollutants.

Irrigation  management practices require a knowledge  of the salinity in the root
zone.   Models which simulate the  simultaneous  movement of water  and soils  but
ignore the  buffering property of  the soil fail to  predict the root zone salinity
distribution in many field  situations.  A model  was  developed that takes into
consideration source and sink processes.  It was tested under laboratory and field
situations.  In determining a "source-sink" term to  be included  in the model, it
was assumed that  precipitation  and dissolution were  the most important source pro-
cesses and  that the rate of the processes was  a  function of  the  surrounding con-
centration.  The  parameters for the  "sink-source"  term for soil  columns were^de-
termined from effluent data and were found  suitable  for predicting the salinity
of the entire soil column.  Under field conditions,  individual parameters  for
each layer  were needed for  good prediction.


77:026-016
FRITTED GLASS BEAD MATERIALS AS TENSIOMETERS AND TENSION PLATES,
Chow,  T.L.
Newfoundland Forest Research Centre, St.  John's, Newfoundland.
                                        35

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Soil Science Society of America Journal, Vol. 41, No. 1, p 19-22, January-February,
1977.  1 fig, 3 tab, 5 ref.

Descriptors:  *Tensiometers,  *Moisture tension, * Instrumentation, Materials, Porous
media, Particle size, Hydraulic conductivity, Saturated flow,_Laboratory tests,
Materials testing. Materials engineering, Soil water, Soil science.

A maximum temperature of 655 C, which was reached in six steps  with approximately
100 C/step/hour for 90 min. was used to frit glass beads.  Tensiometer or tension
plate with desired dimension and operational characteristics can be constructed
from the product.  Uniformity tests on the product indicate negligible_horizontal^
temperature variations during the fritting process, and slow heat dissipation^during
the cooling phase tends to limit its thickness.  Tests on the particle size dis-
tributions suggest that glass beads graded to a very narrow distribution are re-
quired to produce fritted material with both the maximum saturated hydraulic con-
ductivity and maximum air-entry value.
77:02G-017
PREDICTIONS OF THE SOIL WATER FLUX BASED UPON FIELD-MEASURED SOIL-WATER PROPERTIES,
Warrick, A.W., Mullen, G.J., and Nielsen, D.R,
Arizona University, Tucson, Arizona.
Soil Science Society of America Journal, Vol. 41, No. 1, p 14-19, January-February,
1977.  5 fig, 4 tab, 12 ref.

Descriptors:  *Soil water movement, Variability, *Soil properties. Soil water,
On-site investigations, Sampling, Hydraulic conductivity, Mathematical models,
Spatial distribution, Moisture content, Soils, Clay loam, Monte Carlo method,
Infiltration, Soil science.

Predictions of soil water flux are made taking into account spatial variability
of the soil water parameters.  A conductivity of the form K = K sub 0 exp (alpha
 (theta-theta sub 0)) is utilized where theta is the volumetric water content with
K sub 0 and theta sub 0 the values of hydraulic conductivity and water content for
steady-state intake from water ponded on the soil surface.  The value of alpha is
an empirical constant for each site and for each depth.  -Monte Carlo simulations
were used to simulate the flux distribution from the simplified drainage equation
J sub L = K sub 0/(1 +  alpha K sub 0 t/L).  The flux of J sub L is a random out-
put dependent upon the stochastic nature of K sub 0 and alpha.  Log-normal dis-
tributions of K sub 0 and alpha are chosen from field data published for Panoche
soil.  Output of J sub L is approximately log-normal for all times studied.  The
mean value of J sub L in larger than the flux calculated using the average K sub
0 and alpha values in the above equation.  Sample numbers necessary to estimate
the means of the flux at t = 0, 1, and 10 days were plotted.  For t = 0,
of 1,000, 100, and 50 result in estimates of J sub L within 16, 50, and
                                                                         samples
                                                                            of
                                For
                                    t = 1 and 10 days similar figures for sam-
                                                Values of water content stored
the true mean 95% of the time.
pies of 1,000,  100,  and 50 are  4,  14,  and
in the profile using the above  equations also were examined as a random function.
Unlike the flux values, the range  in values stays about the same for at least 20
days.  The research  points out  a need for meaningful methods for sample stratifi-
cation in order to reduce variances.
77:02G-018
SOLUTE MOVEMENT IN A FIELD SOIL,
Van De Pol, R.M.,  Wierenga, P.J., and Nielsen, D.R.
New Mexico State University, Department of Agronomy, Las Cruces, New Mexico.
Soil Science Society of America Journal, Vol. 41, No. 1, p 10-13, January-February,
1977.  5 fig, 8 ref.

Descriptors:  *Soil water movement, *Solutes, *Subsurface flow, On-site investi-
gations, Soils, Porous media, Infiltration, Adsorption, Leaching, Dispersion,
Variability, Spatial distribution, Tracers, Tritium, Chlorides, Pore water, Soil
water, Agriculture, Soil science, Path of pollutants.

Solute and water movement was studied under steady-state flow conditions  in a
field soil consisting of 70 cm of clay to silty clay over a medium sand.  A
steady-state water flow condition was maintained by applying irrigation water  at
                                         36

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a constant flux of 2  cm per  day.   During the steady-state conditions,  some  of  the
water leached into the plot  was  labelled with chloride and tritium.   The  positions
of the chloride and tritium  as  functions of soil depth and time were  measured  by
extracting samples of the  soil  solution with soil suction probes.   Extremes in
solute displacement occurred at  equal  and different depths within  the  plot.  An
analysis of these measurements  indicated that observations of the  pore water
velocity and the apparent  diffusion coefficient were log normally  distributed.
Twenty-four soil suction probes,  used  to identify the rate at which a  solute was
displaced in the soil, will  yield an estimate of the mean pore water  velocity
of this soil within a range  of  approximately plus or minus 25% of  its  true  value,
providing that the effects of potential solute-soil interactions are  taken  into
account.


77:020-019
ON SOLVING THE NONLINEAR DIFFUSION EQUATION:  A COMPARISON OF PERTURBATION,
ITERATIVE, AND OPTIMAL TECHNIQUES FOR  AN ARBITRARY DIFFUSIVITY,
Parlange, J.Y., and Babu,  O.K.
Connecticut Agricultural Experiment Station, New Haven, Connecticut.
Water Resources Research,  Vol.  13, No.  1, p 213-214, February 1977.   9 ref.

Descriptors:   *Soil water  movement, *Filtration, *Diffusion,  *Diffusivity,
Mathematical models,  Equations,  Mathematics, Analytical techniques, Soil  water,
Optimization.

A recent solution  determined by Babu for an arbitrary soil-water diffusivity was
compared with  two  earlier  solutions.  It was shown that the perturbation  solu-
tion is identical  to  the iterative result when Cister's correction is  used.  It
was also shown that a result obtained  by optimization, which is numerically in-
distinguishable from  either  the perturbation or iterative result,  has  a much
simpler analytical  form.


77:020-020
SOIL WATER REGIMES NEAR POROUS  CUP WATER SAMPLERS,
Warrick, A.W., and Amoozegar-Fard, A.
Arizona University, Department  of Soils, Water, and Engineering, Tucson,  Arizona.
Water Resources Research,  Vol.  13, No.  1, p 203-207, February 1977.   4 fig,  1
tab,  14 ref,  1 append.

Descriptors:   *Soil water  movement, *Unsaturated flow, *Mathematical  studies,
Soil water,- Equations.


 Steady  soil water  regimes  near  a porous cup water sampler were studied.  Results
 are applicable when one  is sampling soil solutions in the field or laboratory,
 and they help  establish  guidelines with respect to the sampling volume and  region
of  influence.  The unsaturated  hydraulic conductivity is taken as  K =  (K  sub o)
 exp  (alpha x h), where K  sub o  and alpha are constants.  The flow  net  was examined
 for both point and horizontal line sinks for an infinite medium around the  cup.
Analytical solutions  for the potential and the stream functions were  given  for
the point sink.  The  maximum radial distance for which flow can be intercepted is
the square root of (q/pi x K sub o) exp  (-alpha x h sub 1), where  h sub 1 is the
pressure head  at large distances and q the extraction rate.  An alternative form
was found by expressing q  in terms of  the cup radius and tension.   For the  line
 sink, an analytical solution was given for the potential, but the  stream  function
required a numerical  integration.  The maximum distance of influence  is (q/2 K
 sub o)  exp  (-a x h sub 1), where q is  the flow rate per unit length.   For both
point and line sinks, q increases with h sub 1.  Also, q at first  increases with
the suction in the cup  (-h sub  o), but it approaches a constant value.


 77:02G-021
CONVECTIVE-DISPERSIVE SOLUTE TRANSPORT WITH A COMBINED EQUILIBRIUM AND KINETIC
ADSORPTION MODEL,
Cameron, D.R., and Klute,  A.
Soil Research  Institute, Department of Agriculture, Edmonton (Alberta), Canada,
Water Resources Research,  Vol.  13, No.  1, p 183-188, February 1977.   6 fig,  1  tab,
20 ref.
                                         37

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 Descriptors:   *Soil  water  movement,  *Mathematical  models,  *Adsorption,  *Solutes,
 Equations,  Analytical  techniques,  Theoretical  analysis,  Soils,  Seepage,  Transfer.

 A  given  chemical may react at different rates with various soil constituents,  and
 the  chemical may be  involved in several kinds of reactions.  A combination  of
 equilibrium and kinetic adsorption models was hypothesized to describe the  nature
 of the overall reaction.  An analytical solution to the one-dimensional  convective-
 dispersive  transport equation with a combination linear Freundlich  isotherm and
 first-order reversible kinetic adsorption model was developed.  The individual^and
 combined effects of  the model parameters on the breakthrough curves and  retention
 profiles were examined.  The combination equilibrium-kinetic model was shown to  be
 applicable  to pesticide, nutrient, and metal transport in soils,


 77:02G-022
 TRANSPORT OF REACTIVE SOLUTES THROUGH MULTILAYERED SOILS,
 Selim, H.M., Davidson, J.M., and Rao, P.S.C.
 Florida  University,  Department of Soil Science, Gainesville, Florida.
 Soil Science Society of America Journal, Vol. 41, No. 1, p 3-10, January-February,
 1977.  15 fig, 2 tab, 18 ref.

 Descriptors:  *Soil water movement, *Solutes, *Adsorption, Soil water, Saturated
 flow, Unsaturated  flow, Soils, Sands, Loam, Laboratory tests, Mathematical  models,
 Dispersion, Effluents, Sorption, Agriculture, Soil science, Path of pollutants.

 Solute transport through saturated and unsaturated multilayered soils was studied
 using laboratory experiments and finite difference approximations of the solute
 transport equation.  Soil water and physical characteristics as well as  solute
 sorption properties were measured and/or calculated for each soil layer.  Linear
 and  nonlinear equilibrium and kinetic adsorption processes were used to  predict
 adsorption  in each layer.  Water flux was assumed constant for water-saturated
 and  unsaturated layered soil profiles.  For all adsorption processes considered,
 the  calculated results showed that the order in which the soil layers were  strati-
 fied in  a water-saturated profile did not influence the effluent solute  concen-
 tration  distribution.  For unsaturated layered soil profiles, the results showed
 that effluent solute distributions can be predicted with an average water content
 within individual  soil layers.  Experimental results from the miscible displace-
 ment of  36C1 and 14C-labeled 2,4-D ((2,4-dichlorophenoxy) acetic acid), through a
 two-layered soil column supported the calculated results.


 77:026-023
 WATER MOVEMENT THROUGH PEDAL SOILS: I. SATURATED FLOW,
 Anderson, J.L., and Bouma, J.
 Wisconsin University, Department of Soil Science, Madison, Wisconsin.
 Soil Science Society of America Journal, Vol. 41, No. 2, p 413-418, March-April,
 1977.  4  fig, 4 tab, 24 ref.

 Descriptors:  *Soil water movement, *Saturated flow, *Clay loam, Hydraulic  con-
 ductivity,  Dispersion, Soils, Laboratory tests, Tracers, Chlorides, Soil structure,
 Groundwater, Groundwater movement, Hydrodynamics, Soil science.

 Apparent  dispersion coefficients were determined with a chloride tracer  in  55-cm
 long undisturbed columns from four pedal soil horizons of three pedons.  Five
 medium subangular  blocky structures were compared with five coarse prismatic
 structures,  all with a silty clay loam texture. Dispersion coefficients  (D), which
 could not always be calculated due to "nonideal" behavior to the flow system,  were
 significantly different for the two types of structures.  Application of an un-
 limited quantity of traced water to drained columns resulted in very high disper-
 sion, particularly for the subangular blocky structures.  Some practical implica-
 tions of  the occurrence of hydrodynamic dispersion were discussed.


 77:02G-024
WATER MOVEMENT THROUGH PEDAL SOILS II.  UNSATURATED FLOW,
Anderson, J.L.,  and Bouma,  J.
Wisconsin University, Department of Soil Science, Madison, Wisconsin.
Soil Science Society of America Journal, Vol. 14, No. 2, p 419-423, March-April,
1977.  6  fig,  4 tab,  7 ref.
                                        38

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Descriptors:  *Soil water movement,  *Unsaturated  flow,  *Clay  loam, Hydraulic
conductivity. Dispersion, Soils, Laboratory  tests, Tracers, Chlorides, Soil
structure, Groundwater, Groundwater  movement, Hydrodynamics,  Soil  science.

Very high hydrodynamic dispersion, occurring during  application of an unlimited
dose of chloride-traced water to 10  drained  55-cm long  columns with undis-
turbed pedal soils, was strongly reduced by  a daily  application of 1 cm of water.
Dispersion in five columns with subangular blocky structures  remained signifi-
cantly higher than that measured in  five columns  with prismatic structures.
Differences were explained by a hypothetical analysis of  flow patterns in both
types of structure.  Application of  a  surface crust  strongly  reduced dispersion
in the subangular blocky structures, even though  the flow rate remained approxi-
mately 1 cm/day.  This was attributed  to lack of  flow into the larger vertical
pores extending through the columns.   Pronounced  differences  in terms of hydro-
dynamic dispersion were found between  two types of structures from three soil
series, all with a silty clay loam texture,  thereby  demonstrating  the potential
usefulness of routine soil structure descriptions as a  correlative tool for
predicting certain aspects of physical behavior.


77:02G-025
CONTRIBUTION OF LATERAL SOIL WATER MOVEMENT  ABOVE A  PRAGIPAN  TO STREAMFLOW,
Palkovics, W.E., and Petersen, G.W.
Delaware Valley College of Science and Agriculture,  Department of Agronomy,
Doylestown, Pennsylvania.
Soil Science Society of America Journal, Vol. 41, No. 2,  p 394-400, March-April,
1977.  7  fig, 2 tab, 31 ref.

Descriptors:  *Soil water movement,  *Streamflow,  *Perched water, Groundwater,
Groundwater movement. Subsurface waters, Base flow.  Streams,  Wells, Observation
wells, Drainage, Hydraulic conductivity. Water balance, Water table, Hydrology.

A water balance approach to the hydrologic budget on a  small  mountainous water-
shed in central Pennsylvania was used  to determine if lateral water flow perched
above a soil fragipan could be quantitatively related to  streamflow.  Perched
water table  fluctuations were measured using a grid  of  60 observation wells,
and streamflow was recorded using a  weir.  The site  was monitored  in mid-Novem-
ber when  evapotranspiration was at a minimum and  when no  precipitation was re-
corded.   Soil water yield due to perched water table decline  was calculated,
hydraulic  conductivity  and the rate  of water movement through the  soil computed,
and the zone of water contribution to  streamflow  determined.  Results indicated
that water yield from the soil aquifer explained  streamflow.  Saturated water
flow was  shown  to be the main mechanism of water  movement, although unsaturated
flow may  have been significant for short distances under  low  tensions.  The
major zone of soil water contribution  to streamflow  was the more poorly drained
soils adjacent  to the stream.  Unsaturated soils  on  the upper mountain flanks
had little effect upon  streamflow because of low  gradient and large distance
from the  stream.


77:02G-026
LATERALLY CONFINED, STEADY FLOWS OF  WATER FROM SOURCES  AND TO SINKS IN UNSATURATED
SOILS,
Raats, P.A.C.
Agricultural Research Service, Salinity Laboratory,  Riverside, California.
Soil Science Society of America Journal, Vol.  41, No.  2,  p 294-304, March-April,
1977.  8  fig, 36 ref.

Descriptors:  *Soil water movement,  Irrigation,  *Model studies, Mathematical
models, Soils,  Unsaturated flow, Subsurface  irrigation, Equations, Agriculture.

The application of water along lines and at  points is of  interest  in connection
with furrow, subsurface, and drip  irrigation.  The removal of water along  lines
and at points is of interest  in connection with uptake  of water by plant roots
and a variety of devices used to extract water and measure fluxes  in the laboratory
and in the field.  Laterally confined, steady  flows  from  line and  point sources
at arbitrary distances  below the soil  surface  and to line and point sinks  at
arbitrary distances above an  impermeable base were analyzed  on the basis of the
                                         39

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assumption that the hydraulic conductivity is an exponential function of the
pressure head.  The results included expressions describing the flow pattern, the
distribution of the components of the flux, and the distributions of matrix flux
potential, pressure head, water content, and total head.  The horizontal varia-
tions were described by trigonometric functions in problems involving llne
sources and sinks and by Bessel functions in problems involving point s°urces
and sinks.  The regions below and above the sources and sinks were treated se
parately, subject, of course, to matching along the interface between the two
regions.  The vertical variations were described by exponential dampings and by
surface and base reflections.  For the flows to sinks, with each flow pattern
there is associated an infinite variety of distributions of the matric flux po-
tential, etc., corresponding to different suctions applied at the sinks,  some
problems involving partial supply by sources and interception by sinks also were
treated,


77 :02G-027
A COMPARISON OF NUMERICAL SIMULATION MODELS FOR ONE-DIMENSIONAL INFILTRATION,
Haverkamp, R., Vauclin, M., Touma, J., Wierenga, P.J,, and Vachaud, G,
Universite Scientifique et Medicale, Institut de Mecanique, Grenoble  (France),.
Soil Science Society of America Journal, Vol. 41, No. 2, p 285-294, March-April,,
1977.  6 fig, 4 tab, 34 ref, 1 append.

Descriptors:  *Model studies, *Mathematical models, *Infiltration, Numerical
analysis, Soil water movement, Soils, Sands, Clays, Profiles, Moisture content,
Hydraulic conductivity, Computer models, Equations, Soil science, Simulation
analysis.

Six models, employing different ways of discretization of the nonlinear infil-
tration equation, were compared in terms of execution time, accuracy, and pro-
gramming considerations.  All models yielded excellent agreement with water con-
tent profiles measured at various times in a sand column.  The two explicit
models, the theta-based CSMP model and the h-based explicit model, used between
5 and 10 times more computer time than the implicit models.  Results obtained
with the two models which used the Kirchhoff integral transformation were no
better than results obtained with the two h-based implicit models.  The implicit
schemes with implicit or explicit evaluation of the hydraulic conductivity and
water capacity functions appear to have the widest range of applicability for
predicting water movement in soil with both saturated and nonsaturated regions.
Excellent agreement was obtained among water content distributions, infiltra-
tion rates, and cumulative infiltration volumes calculated with the implicit
finite difference model and with Philip's quasi-analytical solution.


77:02G-028
INFILTRATION EQUATIONS FOR SIMPLE SOIL SYSTEMS,
Collis-George, N.
Sydney University, Department of Soil Science,  (Australia),
Water Resources Research, Vol. 13, No. 2, p 395-403, April 1977.  3 fig, 1 tab,
24 ref.

Descriptors:  *Infiltration, *Soil properties, *Model studies, *Soil water move-
ment, *Infiltration rates, Mathematical models, Equations, Soils, Soil water,
Hortons law, Dispersion.

Empirical equations and physically based equations used to describe vertical in-
filtration into simple soil systems were compared with experimental data.  An
empirical equation was proposed which satisfies the conditions that cumulative
infiltration is proportional to the square root of time at short times and reaches
a steady-state infiltration rate at long times.  The equation, i = i  sub o  (square
root of tanh T)  + Kt, describes the observed behavior of simple soil  systems at all
times;  where i is the cumulative infiltration at time t, K is the infiltration
rate at steady-state, i sub o = S(square root of t sub c), and T = t/t sub c,
The sorptivity,  S, and a time parameter, t sub c, are soil properties determinable
experimentally-   The Green and Ampt equation and the Horton equation  do not sat-
isfy observed behavior at all times, the former failing at long times and the
latter at short times.  The equation of van der Want, the linearized  Fokker-
Planck equation of Philip, and the nonlinearized Fokker-Planck equation of Knight
and Philip do not describe the observed behavior of simple soil systems over the
whole time range as precisely as the proposed empirical equation.  Since i  sub o

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is not an independent part of the equations,  its numerical value  is defined by
the independent parameters S and K; and  for the materials examined, the numeri-
cal value is generally not the same as the experimental value.  Procedures were
outlined for treating experimental data, not  necessarily complete for  all times,
to produce the three parameters, K, S, and t  sub c  for simple  systems, and for
description infiltration into cracking clays  or in  cases where ultrashort time
effects occur.


77:02G-029
VERTICAL INFILTRATION IN DRY SOIL,
Brutsaert, W.
Cornell University, School of Civil and  Environmental Engineering, Ithaca, New
York.
Water Resources Research, Vol. 13, No. 2, p 363-368, April 1977.   26 ref.

Descriptors:  *Infiltration, *Soils,  *Vertical migration, *Infiltration rates,
Dry beds, Sorption, Soil water movement, Capillary  conductivity,  Equations,
Mathematical studies.

An approximate method was proposed to integrate the ordinary differential equations
governing the terms in Philip's series formulation  of the water content profile.
The method is related to the weighing solution used earlier for the sorption pro-
blem, and it is intermediate between  the quasi-steady state method and the sharp
front method.  In a comparison with an available exact solution,  it was shown
that the derived solution is usually  accurate to within less 1%.   The  water con-
tent profile and the infiltration rate can be expressed concisely in terms of
soil physical parameters by making use of suitable  expressions for the soil water
diffusivity and for the capillary conductivity.  As an illustration, the infil-
tration rate was calculated for the Averjanov-Irmay capillary  conductivity and
for the author's three-parameter power function diffusivity.   Inspection of two
extreme cases in the calculation finally lead to a  new infiltration equation in
closed form which is valid for short  and for  large  times of infiltration.


77:02G-030
FLOW CHARACTERISTICS DURING INFILTRATION INTO A HORIZONTAL SAND COLUMN,
Poulovassilis, A.
Agricultural Research Council, Unit of Soil Physics, Cambridge (England).
Water Resources Research, Vol. 13, No. 2, p 369-374, April 1977.   9 fig, 13 ref.

Descriptors:  *Infiltration, *Diffusivity, *Soil water movement.  Soil  water, Flow,
Laboratory tests, Darcys law. Hydraulic  conductivity, Permeability, Groundwater,
Groundwater movement, Hysteresis, Soil moisture, Reynolds number,  Tensiometers,
Porous media, Soils.

Experimental water content profiles established during infiltration into a hori-
zontal sand column were compared with theoretical profiles calculated  from the
soilwater diffusivity, which was determined independently of the  infiltration
process.  Discrepancies between the theoretical and experimental  profiles were
found.  In particular, the experimental  profiles for small times  showed a re-
tardation of the penetration which became more pronounced as the  water content
increased, and no unique relationship between the water content and the variable
lambda=x/square root of t  (x being the distance and t the time) was found.  Thus,
the  experimental profiles gave incorrect and  varying soil water diffusivities.
The  comparison of the actual flow rate q with the rate q1 given by the product
of the hydraulic conductivity and the observed potential gradient showed that
q =  alpha q1, where alpha is between  0 and 1, alpha varying with  the water con-
tent and the potential gradient.  The effect  of the "less than proportional"
flow on the profile development was discussed.  It  was argued  that the infiltra-
tion process at relatively late times was conditioned by the profile development
during the very early stages.  Previous  experimental infiltration work was dis-
cussed, and it was argued that two mechanisms able  to produce  nonDarcian be-_
havior may be responsible for the various reported  infiltration patterns.  Finally,
the  results of the present work were  discussed  in terms of a critical  Reynolds
number where the flow becomes nonDarcian.

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77:02G-031
SCALING FIELD-MEASURED SOIL HYDRAULIC PROPERTIES USING A SIMILAR MEDIA CONCEPT,
Warrick, A.W., Mullen, G.J., and Nielsen, D.R.
Arizona University, Department of Soils, Water and Engineering, Tucson, Arizona.
Water Resources Research, Vol. 13, No. 2, p 355-362, April 1977.  2 fig, 1 tab,
12 ref.

Descriptors:  *Hydraulic properties, *Soils, *Scaling, *Hydraulic conductivity,_
*Soil physical properties, Soil water movement, Unsaturated flow, Hydrology, Soil
physics, Flow, On-site investigations.

Field data for soil water characteristic  relationships and unsaturated hydraulic
conductivity were scaled by using the concept of similar media in order to study
water flow in spatially varying soils.  Data observed by different investigators
at three geographic areas were used.  The soil water characteristic data con-
sisted of 840, 900, and 512 observations, while data for the unsaturated hydraulic
conductivity  (available from only one of the three sources) consisted of 2,640
observations.  In the process of scaling the data, a best fit for the scaled data
was defined in terms of a sum of squares about an "average" curve, using one value
for the scaling parameter for each sampling location.  Comparisons made between
curves fitting the data and curves fitting the scaled data showed that scaling
reduces the sums of squares by amounts varying from 34 to over 90%.  For similar
media, the scaling parameter determined at a given sampling location for the soil
water characteristic relationship (a sub r from h(S)) should be identical to the
scaling parameter for the unsaturated hydraulic conductivity  (a sub r from K(S)).
Although the parameters were highly correlated (r = 0.91) for the only set of data
available, a sub r from h(S) values were shown to be more effective in scaling the
unsaturated hydraulic conductivity data than were a sub r from K(S) values in
scaling soil water characteristic data.


77:02G-032
EFFECTS OF SPATIAL VARIABILITY OF SOIL HYDRAULIC PROPERTIES IN WATER BUDGET
MODELING,
Peck, A.J., Luxmoore, R.J., and Stolzy, J.L.
Commonwealth Scientific and Industrial Research Organization, Division of Land
Resources Management, Wembley (Australia).
Water Resources Research, Vol. 13, No. 2, p 348-354, April 1977.  4 fig, 4 tab,
22 ref.

Descriptors:  *Soil properties,  *Hydraulic properties, *Hydrologic budget, *Model
studies, *Tennessee, Soil horizons,  Hydraulic conductivity, Precipitation (atmo-
spheric), Rain-runoff relationships, Soil water,  Soil profiles, Darcys law, Re-
tention, Infiltration, Evapotranspiration.

There is appreciable spatial variability of soil properties on the scale of a water-
shed of a field even in a single soil type.  The spatial variation of soil water
characteristics in an area was simulated from average properties and the assump-
tion of scale heterogeneity.  Simulated soil water characteristics and other data
representing forest vegetation were used in a model to simulate water budgets over
part of a watershed in eastern Tennessee for average April and July weather.  Pre-
cipitation was assumed to be uniform over the area, and there was no runoff even
from the least permeable soil during the months simulated.  The spatial variability
of soil water conditions had only a small effect on evapotranspiration.  Water
storage in the soil profile changed, so that the drainage flux beyond the root zone
tended to become uniform throughout the area simulated.  The characteristic micro-
scopic length of the soil was assumed to be normally distributed in an area, and
equations were developed for calculating average soil water characteristics from
the retention curves and hydraulic conductivities of a number of soil samples.
Components of the water budgets simulated with average soil water characteristics
were in excellent agreement with the simulated behavior of the spatially variable
soil unit as a whole.  The result does not imply similar agreement for other dis-
tribution functions and soil-plant-weather combinations, but the methodology dev-
eloped may be applied to investigate similar problems.


77:02G-033
HYSTERETIC STEADY STATE SOIL WATER PROFILES,
Poulovassilis, A.,  and El-Ghamry, W.M.

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Agricultural Research Council, Unit  of  Soil  Physics,  Cambridge  (England)
Water Resources Research, Vol. 13, No.  3,  p  549-557,  June  1977.   11  fig,  9  ref.

Descriptors:  *Soil water,  *Hysteresis,  *Soil water movement, *Model studies,
Soil moisture. Profiles, Theoretical analysis, Mathematical models,  Laboratory
tests, Analysis, Hydraulic  conductivity, Unsaturated  flow, Hydraulic models,
Porous media, Capillary water, Fringe water, Pressure head, Moisture content,
Data collections, Foreign research.

The shape of the hysteretic steady-state soil water profile was  examined  theoreti-
cally.  It was shown that the hysteretic steady-state profile which  results after
wetting acquires usually minimum  values  of  the soil water pressure head, of  the
hydraulic conductivity, and of the water content, values smaller than the asymptotic
values approached at large  heights.   In contrast, the hysteretic steady-state pro-
files which result after drying  do not  show  such minimum values.  Experimental
hysteretic steady-state profiles established in  a vertical sand  column confirmed
the theoretical predictions and  were in agreement with the predictions calculated
numerically from the flow equation.   It was  concluded that the effects hysteresis
on the soil water profile development may  influence seriously the retention and
movement of water in and out of  the  soil zone between the  soil surface and  the
water table and, therefore, may  modify  the environment of  plant  root growth.


77:020-034
SATELLITE MICROWAVE OBSERVATIONS OF  SOIL MOISTURE VARIATIONS,
Schmugge, T.J., Meneely, J.M., Rango, A, and Neff, R.
National Aeronautics and Space Administration, Goddard Space Flight  Center, Greenbelt,
Maryland.
Water Resources Bulletin, Vol. 13, No.  2 p 265-281, April  1977.   11  fig,  1  tab,
7 ref.

Descriptors:   *Remote  sensing, *Soil moisture, *Central United States, Soils,
Vegetation, Vegetation effects,  Satellites (artificial), Aircraft, Microwaves,
Rainfall, Antecedent precipitation,  Precipitation  (atmospheric), Soil water,
Crops, Soil moisture meters, Measurement,  Monitoring, Water resources, Agriculture.

Results  from  studies in the Illinois-Indiana and Texas-Oklahoma  areas indicated
that  satellite microwave observations at the 1.55 cm  wavelength  are  responsive to
relative moisture variations in  the  near surface layer of  the soil.   Because
significant vegetation cover absorbs the 1.55 cm microwave emission  from  the soil,
the target area must be predominantly bare soil  or low density vegetation cover
for meaningful measurements to result.   The  25 km resolution of  the  satellite sen-
sor limits application of the microwave techniques to large areas such as water-
sheds or agricultural  districts  rather  than  individual fields.   In general, at
1.55  cm, there is an inverse relationship  between microwave brightness temperature
and changes in soil moisture levels  (as indicated by  antecedent  rainfall) in
agricultural  regions before planting of crops or during the early growing season
when  vegetation cover  is sparse. Even  early season observations should be  of great
value in deciding on the time and type  of  crop planting and for  initial irrigation
scheduling when the root zone is still  in  close  proximity  to the surface.


 77:02G-035
NUMERICAL ANALYSIS OF  TWO-DIMENSIONAL INFILTRATION AND REDISTRIBUTION,
Perrens, S.J., and Watson,  K.K.
University of New England,  School of Natural Resources, Armidale (Australia).
Water Resources Research, Vol. 13, No.  4,  p  781-790,  August 1977, 6 fig, 36 ref.

Descriptors:   *Infiltration, *Soil water,  *Soil  moisture,  *Model studies, Mathe-
matical models, Soils, Soil types. Hysteresis, Hydraulic conductivity, Soil water
movement, Pressure, Pressure head, Wetting,  Soil physics,  Soil science.

The two-dimensional flow equation for the  movement of water in unsaturated  porous
materials was  used to  study an infiltration-redistribution sequence  in which the
 surface  flux  is spatially nonuniform.  A numerical analysis is based on^a finite
difference scheme involving the  use  of  iterative alternating direction implicit
techniques was found to describe the two-dimensional  flow  process satisfactorily.
The program incorporates an interpolation-type hysteresis  model  which enables
temporal as well as spatial variations  of  flux to be  simulated.   The flow regime

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was discussed with reference to two porous materials which have contrasting hydro-
logic characteristics.  The two-dimensional profile distributions of water content
and pressure head were represented at significant times by a series of perspective
diagrams.


77:02G-036
NITRATE MOVEMENT IN CLAY SOILS AND METHODS OF POLLUTION CONTROL,
Swoboda, A.R.
Texas ASM University, Department of Soil and Crop Sciences, Texas Agricultural
Experiment Station, College Station, Texas.
Proceedings of National Conference on Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado, p 19-25, May 16-19, 1977.  2 fig,
5 tab, 6 ref.

Descriptors:  Nitrates, Clays, Soils, Soil investigation, Pollution, Pollution con-
trol, Leaching, Lysimeters, Fertilizers, Runoff, Model studies, Nitrification, Crop
response.

Movement of nitrates was  measured in soils to determine quantitative amounts of
losses.  Leaching losses in lysimeters ranged from 0.04 to 6 percent depending on
nitrogen source and climatic conditions.  Nitrate concentrations in shallow wells
within watersheds indicated that nitrates from applied fertilizer was leaching into
the shallow groundwaters.  Concentrations as high as 60 ppm NO3-N were found in
some wells after the initial rains following fertilization.  Runoff from the water-
shed contained very little nitrate and amounted to less than 4 percent of the ferti-
lizer applied.  A descriptive model of nitrate movement in clay soils is presented.
Methods of reducing nitrate leaching in soils are discussed.  Field studies indi-
cated that inhibiting nitrification was an effective means of reducing nitrate
movement from ammonium fertilizers.  Slow release sulfur coated urea also reduced
nitrate movement when applied in the fall or winter.  Delaying fertilization until
planting was also an effective means of reducing nitrate losses without reducing
yields.


77:02G-037
EFFECT OF THREE IRRIGATION SYSTEMS ON DISTRIBUTION OF FERTILIZER NITRATE NITROGEN
IN SOIL,
Onken, A.B., Wendt, C.W., Wilke, O.C., Hargrove, R.S., and Bausch, W.
The Texas A & M University System, Texas Agricultural Experiment Station, Lubbock,
Texas.
Proceedings of National Conference on Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado, p 27-32, May 16-19, 1977.  9
tab, 2 ref.

Descriptors:  Irrigation, Irrigation systems, Fertilizers, Nitrates, Soils, Ferti-
lization, Corn, Sprinkler irrigation, Furrow irrigation, Subsurface irrigation.

Sweet corn was grown two years on a Miles loamy fine sand fertilized with band
applied 15N enriched sodium nitrate.  Two plots, 6 x 6 m, were established under
each of the three irrigation systems-sprinkler, furrow and subirrigation.  A
starter band of fertilizer was applied 7.6 x 7.6 cm from the seed with the rest
sidedressed 25 cm either side of the center of the seedbed.  Total nitrogen applied
was 124 kg/ha in 1973 and 105 kg/ha in 1974.  In 1974, each of the six plots that
were established in 1973 were divided in half, one half receiving 15N enriched
fertilizer as sodium nitrate, and the other half receiving the same amount of unen-
riched sodium nitrate.  Soil samples were taken periodically from furrow to furrow
in lateral distance increments of 25 cm and through the starter fertilizer band
to a depth of 5.2 m in 30 cm increments.  Plant samples were obtained at the end
of each growing season.  Soil and plant samples were analyzed using standard pro-
cedures.   Fertilizer nitrogen moved differently under the three irrigation systems.
When sprinkler-irrigated, fertilizer bands tended to maintain their integrity
during downward movement.  Under furrow irrigation, fertilizer bands tended to
merge in the center of the bed and move downward.  Under subirrigation, fertilizer
tended to move down under the furrows.  At the end of two crop years, greatest
depth movement of fertilizer nitrogen was under sprinkler irrigation and least
under subirrigation.

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77:020-038
VARIABILITY OF NITRATE LEACHING WITHIN  DEFINED  MANAGEMENT  UNITS,
Lund, L.J., and Pratt, P.F.
California University, Riverside, California.
Proceedings of National Conference  on Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins,  Colorado,  p  45-53,  May  16-19.  1977.
6 fig, 6 tab, 20 ref, 7 equ.

Descriptors:  Soils, Soil  investigations,  Fertilizers, Fertilization, Return  flow,
Nitrates, Leaching,  Sampling,  California.

In attemping to relate nitrate concentrations below root zones to  root  zone  soil
characteristics, the experimental approach has  consisted of  a comparison  of  a
number of sites within a defined management unit or field.   The  basic assumption
in this approach has been  that the  management of the  field is uniform and varia-
tions in nitrate leaching  result from variations in soil characteristics. How-
ever, results reported herein  show  that even within a field  of limited  size, other
sources and sinks can be significantly  different at various  sampling locations.
The  variation in these factors for  a number of  fields in the Santa Maria  Valley,
California is discussed.


77:02G-039
FIELD MEASURED FLUX  OF VOLATILE DENITRIFICATION PRODUCTS AS  INFLUENCED  BY SOIL
WATER CONTENT AND ORGANIC  CARBON SOURCE,
Rolston, D.E., Goldhamer,  D.A., Hoffman,  D.L.,  and  Toy,  D.W.
California University, Department of Land, Air, and Water  Resources, Soils and
Plant Nutrition Section, Davis, California,
Proceedings of National Conference  on Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins,  Colorado,  p  55-61,  May  16-19,  1977.
5  fig, 1 tab, 10 ref, 2 equ.

Descriptors:  Irrigation,  Soils, Soil investigations, Soil moisture, Return  flow.

The  amount of NO3 in irrigation return  flow waters  is dependent  upon each of the
components of the N  cycle  in  soils. One of those components for which  absolute
amounts and rates are not  well known is denitrification.  Volatile denitrification
products, primarily  N2O and N2, are evolved whenever  anoxic  sites  develop within
the  soil and when sufficient  carbon is  available.  Absolute  amounts and rates of
denitrification from a Yolo loam field  profile  at Davis, California, were studied
in relation to the influence  of soil-water content and organic carbon source.
Field plots were intensely instrumented with soil atmosphere samplers,  soil  solu-
tion samplers, and tenslometers.  Soil-water pressure heads  (h)  in the  upper 15
cm of soil were maintained constant at  -15 and  -70  cm of water.  Three  levels of
soil carbon were evaluated from plots cropped with  ryegrass, uncropped  plots, and
plots to which manure was  mixed in  the  top 10 cm of soil.  Fertilizer was applied
at the rate of 300 kg N ha-1  as KN03 enriched with  20 and 40 percent 15N  for the
h  =  -15 and h = -70  cm treatments,  respectively. The flux of volatile  gases at
the  soil surface was measured  from  the  accumulation of N20 and 15N2 beneath  an
airtight cover placed over the soil surface for 1 or  2 hours per day.   Denitrifi-
cation occurred in order of decreasing  magnitude in manure (h =  -15 cm),  manure
 (h = -70 cm), uncropped  (h =  -15 cm), and uncropped (h = -70 cm) plots.   Approxi-
mately 70 percent of the fertilizer nitrogen was denitrified for the manure  (h =
-15  cm) treatment.   Approximately 1 percent of  the  added fertilizer was denitrified
in the uncropped  (h  = -70  cm)  treatment.


77:020-040
SOIL NITRATE CONCENTRATIONS IN CORN PLOTS TREATED WITH ISOTOPICALLY LABELED
NITROGEN FERTILIZER,
Broadbent, F.E., and Carlton,  A.B.
California University, Department of Land, Air  and  Water Resources, Soils and
Plant Nutrition Section, Davis, California.
Proceedings of National Conference  on Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins,  Colorado,  p  63-69,  May  16-19,  1977.
8  fig, 4 tab, 6 ref.

Descriptors:  Nitrates, Nitrogen, Soils,  Fertilizers, Sampling,  Soil physical
properties.

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Soil solution composition has been monitored for 3 years at depths ranging from
30 to 300 cm at an experimental site on Yolo fine sandy loam where 15N-depleted
ammonium sulfate has been applied at 0, 90, 180, and 360 kg N per year.  Samples
have been taken at approximately 2-week intervals•during the growing season and
less frequently during the winter and early spring.  In unfertilized plots re-
ceiving 60 cm/yr irrigation water N03-N concentrations fluctuated widely near the
surface, ranging from 3-4 up to about 35 ppm over a 2-1/2 year period.  At lower
depths fluctuations were not as great, but at 300 cm N03-N consistently remained
above 10 ppm.  At 90 and 180 kg-fertilizer N, the latter level being sufficient
to produce the maximum grain yield, very little N03-N derived from fertilizer was
found below 120 cm.  However, at the 360 kg level, fertilizer-derived nitrate was
found to constitute a significant fraction of the total at all depths down to
300 cm.


77:02G-041
THEORETICAL AND EXPERIMENTAL OBSERVATIONS OF WATER AND NITRATE MOVEMENT BELOW A
CROP ROOT ZONE,
Biggar, J.W., Tanji, K.K., Simmons, C.S., Gupta, S.K., and Maclntyre, J.L.
California University, Department of Land, Air and Water Resources, Davis,
California.
Proceedings of National Conference on Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado, p 71-77, May 16-19, 1977.
9  fig, 1 tab, 4 ref, 3 equ.

Descriptors:  Soils, Soil investigations, Soil water movement, Soil water, Crop
production, Leaching, Nitrogen, Irrigation.

A  report of the progress of an experiment which attempts to deal with the spatial
variability of a field soil is presented.  The experimental objective is to mea-
sure the flux of water and nitrate leaching below the root zone of a crop by ex-
amining the behavior of nitrogen applied to a corn crop grown under irrigation.


77:02G-042
MINIMIZING SALT IN RETURN FLOW BY IMPROVING IRRIGATION EFFICIENCY,
van Schilfgaarde,  J.
United States Department of Agriculture, Agricultural Research Service, United
States Salinity Laboratory, Riverside, California.
Proceedings of National Conference on Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado, p 81-98, May 16-19, 1977.
19 fig, 4 tab, 24 ref.

Descriptors:  Salinity, Saline water, Irrigation efficiency, Agriculture, Colorado
river, Leaching, Arizona.

Return flow from irrigated agriculture has been identified as the major source of
salinity in the Colorado River that may be controlled.  Thus, if the trend of
increasing salinity is to be reversed, it appears that irrigated agriculture must
bear a large portion of the burden.  Research at the United States Salinity Labora-
tory indicates irrigated agriculture can reduce its contribution by efficient ir-
rigation that provides water of low salinity in the upper portion of the crop root
zone while the salinity of the water in the lower portion can be permitted to con-
centrate considerably more than had previously been suspected without decreased
yields.  If these results hold true under field conditions, the leaching require-
ment of most crops grown with Colorado River water could be reduced below 10%.
Lower leaching requirements, if achieved, would also reduce salt discharge to the
river due to precipitation of lime and gypsum in the soil and because of decreased
salt pickup from saline underground sources.  To evaluate the minimum leaching
concept for alleviating the salinity problem of a major river basin, two field
studies have been initiated in the Wellton-Mohawk Irrigation and Drainage District
of southwestern Arizona.  The first field experiment was installed in December 1973
in citrus on coarse-textured, mesa soil, and the second was started in September
1974 in alfalfa on fine-textured, valley soil.  The paper will describe the experi-
mental design of both experiments and initial data on crop water use, soil salinity
profiles, and leaching fractions achieved will be presented.

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77:02G-043
AREAL PREDICTIONS OF SOIL WATER FLUX  IN  THE  UNSATURATED  ZONE,
Warrick, A.W.
Arizona University, College of Agriculture,  Department of  Soils, Water  and
Engineering, Tuscon, Arizona.
Proceedings of National Conference  on Irrigation  Return  Flow Quality Management,
Colorado State University, Fort Collins,  Colorado,  p  225-231,  May  16-19  1977
8 fig, 14 ref.

Descriptors:  Soil water, Soil water  movement.  Soils, Soil investigations.  Irri-
gation, Salinity, Hydraulic conductivity.

Irrigation, salinity and potential  ground or surface  water pollutants are inti-
mately related to water and solute  movement  in  the  soil  profile.   Ideally,  soil
water fluxes and water composition  are managed  in order  to provide a desirable
plant growing environment and/or  acceptable  quantities and qualities of drainage
water.  The problem of predicting or  averaging  such fluxes is  very difficult due
to the intrinsic variability  of the soil's physical and  chemical properties.  In
this study, predictions of soil water flux are  made accounting for the  spatial
variability of the soil water parameters.  Calculations  are made using  field-
measured distributions of conductivity and soil water tension  —   water content
relationships for Panoche loam and  Pima  clay loam soils.  In the second set of
calculations, flux distributions  are  found using  the  more  cumbersome, finite dif-
ference solution to the nonlinear moisture flow equation.   This allows  inclusion
of more realistic boundary conditions as well as  plant water uptake.  The results
are a step towards finding the most effective way of  determining and expressing
water flux as a function of time.  Also, addressed  are reliability of areal pre-
dictions and measurements.


77:02G-044
HYDRO-SALINITY MODELS:  SENSITIVITY TO INPUT VARIABLES,
Oster,  J.D., and Wood, J.D.
United  States Department of Agriculture, Agricultural Research Service, United
States  Salinity Laboratory, Riverside, California.
Proceedings  of National Conference  on Irrigation  Return  Flow Quality Management,
Colorado  State University, Fort Collins, Colorado,  p 253-259,  May  16-19, 1977.
 7 fig,  2  tab,  6 ref,  9 equ.

 Descriptors:  Model  studies,  Simulation  analysis, Water  quality, Return flow,
 Salinity,  Irrigation  efficiency.

 Return  flows estimated  from  salinity, or a water  budget  analysis,  exhibit opposite
 sensitivities  to  increasing  field irrigation efficiencies.  However, the sensiti-
 vities  of  both methods to assess  return  flows may be complementary if both  are used
 to obtain  an optimized estimate  of  return flows.  The degree of data uncertainty
 would undoubtedly  be  greater  in  areas with multiple return flow paths,  greater
 sources of underflows  and rainfall, and  shorter growing  seasons.


 77:026-045
 AGRICULTURAL DRAINAGE  PROBLEMS  OF THE SAN JOAQUIN VALLEY,
 Price,  E.P-
United States Bureau of Reclamation,  Sacramento, California.
 Proceedings  of National Conference on Irrigation  Return  Flow Quality Management,
 Colorado  State University, Fort  Collins, Colorado,  p 283-287,  May  16-19, 1977.
 2 fig,  1  tab.

 Descriptors:  Agriculture, California, Drainage districts, Drainage practices.
 Drainage.

 A brief description  of  the physical setting  of the  San  Joaquin Valley  and the drain-
 age problems anticipated  are  presented.   Estimates  are  preliminary and  subject  to
 revision as  studies  continue.


 77:02G-046
 PORTLAND  CEMENT AS A SOIL AMENDMENT FOR CORN AND  SOYBEANS,
 Stivers,  R.K.,  Swartzendruber,  D.,  and Nyquist, W.E.,
 Purdue University, Department of  Agronomy, West Lafayette, Indiana  4/SO/.

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Agronomy Journal, Vol. 69, No. 6, p 961-964, November-December, 1977.  3 tab,
1 ref.

Descriptors:  Corn, Soybeans, Soil amendment, Soil water, Hydraulic conductivity,
Infiltration, Soil properties, Soil physical properties, Soil treatment, Soil water
movement, Cements.

In the corn belt there are many areas of imperfectly drained soils, often adjacent
to well-drained soils in the same fields.  Tile drainage of these imperfectly
drained soils helps remove excess water within the profile.  Slow movement of water
into and through the Ap horizon of these soils is thought to contribute to reduced
crop yields in wet years.  Since application of Portland cement (the binding ma-^
terial in concrete) to soil in a laboratory experiment increased water-stable soil
aggregate size as well as hydraulic conductivity of a soil, it was assumed that
cement would act similarly in the field and increase  crop yields, particularly
under wet conditions.


77:02G-047
COMPARISON OF METHODS OF CALIBRATION OF A NEUTRON PROBE BY GRAVIMETRY OR NEUTRON-
CAPTURE MODEL,
Vachaud, G., Royer, J.M., and Cooper, J.D.
Grenoble-1 University, Inst. de Mecanique, (France).
Journal of Hydrology, Vol. 34, No, 3/4, p 343-356, August 1977.  3 fig, 1 tab,
21 ref.

Descriptors:  *Soil moisture meters, *Soil water, *Calibrations,  *Analytical
techniques, *Nuclear moisture meters, Instrumentation, Chemical properties,
Nuclear meters, Gravimetry, Soil analysis, Mathematical studies.  Soil properties,
Soil moisture, Gravimetric analysis, Soil tests, Moisture content, Methodology.

Presented was a systematic analysis of 2 methods used for determining calibration
curves of neutron probes.  The uncertainties resulting from the use of the gravi-
metric method, with a linear correlation between count rates and water content of
soil samples, were considered first.  Particular care was given to the determina-
tion of errors in the values of water content and count rates and to the difficul-
ties arising from the choice of the correlation technique.  The neutron-calibration
curve of the soil also was obtained with a technique based on the determination
of neutron thermal absorption and diffusion constants.  The importance of errors
associated with the method was also analyzed.  Different field examples>then were
presented.  It appears that the neutron-capture technique should be particularly
well suited for determining the calibration curve of clay soils or heterogeneous
materials for which the gravimetric calibration technique cannot be applied with
confidence.  On the other hand, it also was shown that for a soil with a very
well-defined gravimetric calibration curve, the neutron-capture technique gives
results still at least as good as with the former method.


77:02G-048
THE UNSTEADY GROUNDWATER MOUND BELOW AN IRRIGATION DITCH OR LEAKY CANAL,
Young, E.G.
Agricultural Research Council, Unit of Soil Physics, Cambridge (England).
Journal of Hydrology, Vol. 34, No. 3/4, p 307-314, August 1977.  3 fig, 6 ref.

Descriptors:  *Soil water, *Seepage, *Canals, *Model studies, Laboratory tests,
Mathematical models, Irrigation, Groundwater, Soil water movement, Groundwater
movement, Water table, Equations, Irrigation ditches, Irrigation canals. Infil-
tration.

The groundwater mound which develops below an irrigation ditch or leaky canal was
investigated experimentally using a hydraulic sand-tank model and a Hele-Shaw
analogue.  The results showed that the mound built up in height at a rate propor-
tional to the cube root of time and moved laterally at a rate proportional to the
cube root of the time squared, as predicted from a solution of the Boussinesq
equation, obtained numerically after using Barenblatt's transformation.

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77:020-049
MODELING SOIL WATER MOVEMENT FOR TRICKLE  IRRIGATION-PHASE  II,
Warrick, A.W., and Lomen, D.O.
Arizona University, Department of  Soils,  Water  and  Engineering,  Tucson,  Arizona.
Available from the National Technical  Information Service,  Springfield,  Virginia
22161 as PB-272, 625, Price codes: A03  in paper copy,  A01  in microfiche.   Comple-
tion Report, August  1977.  27 p,  13 fig, 4  tab, 34 ref.

Descriptors:  *Unsaturated flow, *Soil  water movement,  *Model  studies,  Irrigation,
Evaporation, Moisture content, Evapotranspiration,  Fruit crops,  Orchards.

This study is a continuation of the previous project whose  goal  was  to  develop
techniques for the solution of the moisture  flow equation  for  conditions of
trickle and high-frequency irrigation.  Several solutions  have been  found  for
the linearized forms of the moisture equation including flow from a  line source
above a shallow water table, flow  from  lines and points with evaporation at  the
surface and one and two-dimensional flows with  plant water  uptake.   Comparisons
of the analytical solutions for the linearizing assumptions were made with finite
difference results of the nonlinear moisture equation.  Results  are  somewhat en-
couraging.  Conditions  favoring the analytical  over the numerical solutions  are
short irrigation cycles, uncertain input  data,  complex geometries, and  expensive
computer time.  In addition to the mathematical modeling,  field  measurements were
made regarding the microclimate surrounding  lemon trees in  a trickle-irrigated
orchard.  Results in June showed evapotranspiration to be  on the order  of  0.2 -
0.4 of the open pan evaporation and about three times  as large if just  the canopy
area was considered.


77:02G-050
RAINFALL INFILTRATION INTO BARE SOILS,
Morin, J., and Benyamini, Y.
Ministry of Agriculture, Soil Conservation and  Drainage Division, Tel-Aviv (Israel).
Water Resources Research, Vol. 13, No.  5, p  813-817, October 1977.   5 fig, 3 tab,
6 ref, 1 append.

Descriptors:  *Infiltration, *Model studies, *0n-site  investigations,. Mathematical
models, Soils, Soil properties, Precipitation (atmospheric), Rainfall,  Rainfall
intensity, Mulching, Impact  (rainfall), Infiltration rates, Agriculture.

Raindrop impact destroys the surface aggregates of  soils and gradually  forms a
continuous crust.  Infiltration rates  of  bare soils are determined by the  mentioned
process.  A theoretical model presented previously  was tested  under  field  conditions
with a  sandy  loam soil.  The effect of  the crust's  structure was tested under three
rainfall intensities and in wetting and drying  cycles.  The results  of  the tests
confirmed the theoretical model.   The  study  demonstrated quantitatively that the
major factor determining the reduction  of infiltration rates is  crust formation
and not moisture regime.


77:026-051
SOIL THERMAL DIFFUSIVITY DETERMINATION  FROM  OVERSPECIFICATION  OF BOUNDARY  DATA,
Singh, S.R., and Sinha, B.K.
Punjab Agricultural University, Department of Agricultural  Engineering,  Ludhiana-
141004, India.
Soil Science Society of America Journal,  Vol. 41, No.  5, p 831-834,  September-
October, 1977.  1 fig,  1 tab, 18 ref.

Descriptors:  Heat, Diffusivity, Soils, Soil investigations, Soil temperatures,
Soil profiles, Mathematical studies.

The heat conduction equation has been  solved for evaluating thermal  diffusivity of
soils by overspecifying the usual  boundary conditions  in terms of the thermal grad-
ient at the boundary surface.  Solutions  have been  obtained for  difference Dirichlet-
type boundary conditions describing the boundary temperature.  These were  (a) lin-
early rising/falling,  (b) exponentially rising, (c)  exponentially falling, and  (d)
sinusoidal.  The thermal gradient  in the  soil profile  was  evaluated  using  a  cubic
spline.  Field data were analyzed  firstly by representing  the  surface temperature
as linearly rising and  secondly as sinusoidal.   More consistent  results were ob-
tained with the help of the first  approximation which  represented the boundary
data closely.  This shows that a close  approximation of boundary condition by an^
appropriate function is essential  to get  reliable values of the  thermal diffusivity-

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77:02G-052
ON THE USE OF THE LANGMUIR EQUATION IN THE INTERPRETATION OF "ADSORPTION"
PHENOMENA,
Veith, J.A., and Sposito, G.
Institute for Anorganische Chemie der Freien University, Berlin, 1 Berlin 33,
Fabeckstrasse 34/36, West Germany.
Soil Science Society of America Journal, Vol. 41, No. 4, p 697-702, July-August,
1977.  5 fig, 29 ref, 12 equ.

Descriptors:  Model studies, Simulation analysis, Anions, Soils, Soil investigations,
Phosphorus, Adsorption.

A theoretical discussion in terms of molecular theory and the results of model
experiments are employed to demonstrate that the conventional analysis of "anion
fixation" data, through linear least squares regression of the points in a Lang-
muir plot, usually will not be sensitive enough to show the failure of the Lang-
muir equation reaction.  The theoretical discussion points out that although the
Langmuir equation is not restricted to two-dimensional phenomena (in other words,
adsorption), it cannot apply if the reacting anions must be present at some thres-
hold concentration before fixation occurs.  An analysis of model experiments on
the reactions of OH(-) with Al(-)  or Fe-resin and of Cl(-)  with Ag-resin shows
that secondary precipitation phenomena always result in a statistically signifi-
cant, linear correlation of the variables in a Langmuir plot if the concentration
of the reacting anions is much larger than the threshold value needed to initiate
precipitation of the secondary solid phase.   This condition generally can be
expected to be met when anions such as 0-phosphate react with soils or soil con-
stituents .


77 :02G-053
SOIL ACIDITY FROM LONG-TERM USE OF NITROGEN FERTILIZER AND ITS RELATIONSHIP TO
RECOVERY OF THE NITROGEN,
Jolley, V.D., and Pierre, W.H.
Agricultural Home Economics Experiment Station, Ames, Iowa.
Soil Science Society of America Journal, Vol. 41, No. 2, p 368-373, March-April,
1977.  2 fig, 6 tab, 11 ref.

Descriptors:  Nitrogen, Nutrients, Fertilizers, Fertilization, Corn, Crop re-
sponse, Nitrification, Crop production, Denitrification, Soils.

Two N-rate experiments in which corn had been grown continuously for 15 and 17
years were used:  (1) to study quantitatively the amounts of acidity that had been
developed at different levels of N fertilization and  (2) to determine to what
extent the acidity produced can be explained and predicted from the amounts of N
recovered in the crops and in the soil as N03-N and organic N.  The measured
acidity was compared with the acidity calculated from N recovery, and both were
expressed as percentages of the theoretical  (potential) acidity developed from
nitrification.


77:02G-054
TRACING VERTICAL TRANSLOCATION OF SOIL MOISTURE,
Ligon, J.T., Wilson, T.V., Allen, J.F., and Singh, U.P,
Clemson University,  Department of Agricultural Engineering, South Carolina.
Journal of the Hydraulics Division, American Society of Civil Engineers, Vol. 103,
No.  HY10, Proceedings Paper 13290, p 1147-1158, October 1977.  8 fig, 8 ref, 1
append.

Descriptors:  *Soil water movement, *Tritium, *South Carolina, Sampling,
Iodine, Iodine radioisotopes, Tracers, Radioisotopes, Diffusion, Soil water,
Groundwater, Seepage, Soil moisture, Soils, Clays, Unsaturated flow. Dispersion,
Drainage.

Tracer experiments using tritium tagged water were initiated during December 1972-
January 1973 to determine the rate of downward displacement of water in unsaturated
Piedmont profile.  Tritium location was monitored by daily soil sampling immediately
after injection of activity and at frequencies decreasing to once every 6 months
after 1 year.  At the end of 23 months, the maximum level of activity was 24.8  ft
(7.56 m) .  The observed rate of movement will bring the maximum tritium activity
to the water table level of 65 ft  (20 m) in about 6 years.  Under conditions at
                                          50

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the research site, lateral displacement of the materials was negligible.   Some
detention of activity in the high-clay B-horizon of  the soil was observed,


77:02G-055
IRRIGATION SCHEDULING WITH NEUTRON PROBE,
Gear, R.D., Dransfield, A.S., and Campbell, M,D
United States Department of the  Interior, Bureau of  Reclamation, Lower Colorado
Region, Boulder City, Nevada,
Journal of the Irrigation and Drainage Division, American  Society of Civil
Engineers, Vol. 103, No. IR 3, p 291-298, September  1977.   3 fig, 3 ref.

Descriptors:  Irrigation, Irrigation practices, Soil water. Soil moisture, Soil
water movement, Soil properties.

A simple accurate technique has  been worked out to schedule irrigations, using a
graphic display of neutron probe measurements.  The  neutron probe design has
been changed to combine the sealer with the shield and provide  a useful tool  from
what has traditionally been used almost exclusively  for research.  The technique
used for scheduling irrigation requires only  the identification of the refill
point  for each field and the neutron measured water  content with time.


77:02G-056
A QUICK METHOD FOR ESTIMATING SOIL WATER DIFFUSIVITY FUNCTIONS,
Miller, R.D,, and Bresler, E.
Cornell University, Agricultural Experiment Station, Department of Agronomy,
Ithaca, New York.
Soil Science Society of America  Journal, Vol. 41, No.  5, p 1020-1022, September-
October, 1977.  1 fig, 4 ref.

Descriptors:  *Diffusivity, *Soil water movement, *Infiltration, Model studies,
Mathematical models, Equations,  Regression analysis, Analytical techniques, Soils,
Soil properties,  Soil water, Physical properties, Laboratory tests, Soil science,
Wetting fronts, Horizontal infiltration.

Published data for horizontal infiltration into air  dry nonsodic stable soil  imply
excellent correlation between soil water diffusivity functions  and the rate of ad-
vance  of the visual wetting front in one dimensional horizontal infiltration  ex-
periments.  When  suitably transformed, data for each of eight  soils, ranging  from
a  clay loam to a  sieved sand fraction, were represented remarkably well by a  sin-
gle regression equation involving dimensionless variables.  This suggests  that the
same coefficients should apply to similar data for almost  any  soil.  It was shown
that the data also can be expressed for a somewhat simpler regression equation,
involving only the simplest of experimentally measured quantities so that  the
diffusivity function can be quickly estimated for any  soil.


77:02G-057
QUANTITATIVE RELATIONSHIPS AMONG NUTRIENTS LEACHED FROM SOILS,
Terman, G.L.
Tennessee Valley Authority, National Fertilizer Development Center,- Soils  and
Fertilizer Research Branch, Muscle Shoals, Alabama   35660.
Soil Science Society of America  Journal, Vol. 41, No.  5, p 935-940, September-
October, 1977.  1 fig, 5 tab, 21 ref.

Descriptors:  Nutrients, Fertilizers, Leaching, Soils, Soil investigations,
Anions, Cations, Lysimeters.

This study was undertaken in an  attempt to quantify  relationships among anions
 (An) and cations  (Cat) leached from soils.  Several  sets of published data on
leaching of ions  from acid and nonacid soils  were evaluated by  linear regression
calculations based on the chemical equivalency of summation of  Cat and summation
of  An  leached.  Calcium, Mg, K,  and Na comprised most  of summation of Cat, and
N03, S04, and Cl, most of summation of An.  Bicarbonate is also leached from
nonacid soils; H  is assumed to account for most of the excess  of summation of
An  over summation of Cat in leachates from acid soils.  Amounts of ions leached
were much more closely correlated with leachate volumes among  soils and time
periods than with leachate volumes from various treatments for  a given time period.
                                         51

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 77:02G-058
WATER INFILTRATION AND RUNOFF UNDER RAIN APPLICATIONS,
Hachum, A.Y., and Alfaro, J.F.
Utah State University, Department of Agriculture and Irrigation Engineering,
Logan, Utah.
Soil Science Society of America Journal, Vol. 41, No. 5, p 960-966, September-
October, 1977.  9 fig, 4 tab, 13 ref.

Descriptors:  *Infiltration, *Runoff, *Model studies, *Lab.oratory tests, Simulated
rainfall, Mathematical models, Ponding, Pressure head, Wetting, Irrigation, Sprinkler
irrigation, Rainfall, Soils, Soil water, Saturation, Soil science.

Experiments to verify the validity and to evaluate the performance of rain infil-
tration models based on extending the Green and Ampt approach are lacking in the
literature.  There are severe gaps between theory, validity, and practicality of
these models.  In this study, a physically based model for describing infiltration
into a homogeneous deep stable soil profile with uniform initial water content
distribution was presented.  The derivation of the model was based on the concept
of mapping the actual wetted soil zone into an equivalent rectangular saturated
zone with constant effective hydraulic conductivity and capillary pressure head
at the abrupt wetting front.  The model took into account the initial water mobility
in the soil profile and predicted the system response under any rainfall pattern.
The proposed model was further simplified, for practical purposes, by grouping 3
basic input parameters into a single parameter, the Surface Saturation Index,  The
validity of the model was tested and was supported strongly by the results of
laboratory experiments conducted on samples of 3 soils, 2 silt loams and a silty
clay loam, under 5 different  (variable and constant) water application rate pat-
terns.  It was found that the amount of runoff from a nearly symmetrical convex
variable rainfall pattern was very close to that which resulted from its equivalent
average constant application rate pattern, regardless of the significant differences
between the times at which runoff begins and the characteristics of infiltration
rates thereafter.


77:02G-059
MICRONUTRIENT CONCENTRATIONS IN SOIL SOLUTION AFTER AMMONIUM PHOSPHATE APPLICATIONS,
Mortvedt, J.J., and Osborn, G,
Tennessee Valley Authority, Soils and Fertilizer Research Branch, Division of Ag-
ricultural Development, Muscle Shoals, Alabama  35660.
Soil Science Society of America Journal, Vol. 41, No, 5, p 1004-1009, September-
October, 1977.  7 tab, 19 ref.

Descriptors:  Ammonium, Fertilizers, Fertilization, Phosphates, Soils, Soil investi-
gations, Phosphorus.

Two fluid ammonium polyphosphates and an equimolar mixture on mono- and diammonium
phosphate, each with a solution pH of about 6.2, were well mixed with 1 kilogram
lots of several soils to supply 2,000 parts per million of P, which approximates
the P concentration in soil near a fertilizer band at a P rate of 50 kilograms
per hectare.  Each soil was then moistened to 0.2 or 0.3 atm and stored in plastic
bags.  After periods up to 28 days, soil samples were placed in a lucite cell and
a portion of the soil solution was expressed by N2 gas.  These solutions were
analyzed for Cu, Fe, Mn, Zn, organic C, and total and orthophosphate P,


77:02G-060
TEST OF A SOIL WATER MODEL UNDER FIELD CONDITIONS,
Beese, F., Van der Ploeg, R.R., and Richter, W.
Goettingen University, Institute Soil Science and Forest Nutrition,  (West Germany).
Soil Science Society of America Journal, Vol. 41, No. 5, p 979-984, September-
October,  1977.  4 fig, 2 tab, 27 ref.

Descriptors:  *Soil water, *Unsaturated flow, *Evaporation, *Mathematical models,
On-site investigations, Model studies, Lysimeters, Moisture content, Soil water
movement, Soils, Soil properties, Precipitation  (atmospheric), Rainfall, Drainage,
Subsurface drainage, Agriculture.

A 218-day experiment on a fallow loess soil was carried out to study infiltration
and redistribution under natural field conditions.  On an experimental plot of  6
by 6 m,  tensiometers were installed at 11 depths, 10, 20, 40, 60, 80, 100, 120,  140,
                                         52

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160, 180, and 200 cm.  The tensiometers were  read  at  short  irregular  intervals
The precipitation was measured daily.  The  hydraulic  functions  of  the layered,
horizontal soil and a relation between potential evaporation, actual  evaporation,
and the soil suction at 5-cm depth had been established  previously.   With  use of
these soil and atmospheric data, the unsaturated soil moisture  flow equation was
solved numerically.  The purpose of the numerical  analysis  was  to  determine if
the unsaturated soil moisture flow equation does describe observed soil moisture
behavior for such a long period.  It was  found  that the  calculated soil suction
values for all depths deviated less than  15%  from  the measured  ones.   It was con-
cluded that the unsaturated moisture flow equation can be a useful means to sup-
plement field measurements on infiltration, redistribution,  evaporation, and in-
ternal drainage.


77:020-061
FLOW FROM A LINE SOURCE ABOVE A SHALLOW WATER TABLE,
Warrick, A.W., and Lomen, D,0.
Arizona University, Department of Soils,  Water  and Engineering,  Tucson, Arizona
85721.
Soil Science Society of America Journal,  Vol. 41,  No. 5, p  849-852, September-
October, 1977.  3 fig, 1 tab, 8 ref.

Descriptors:  Irrigation, Irrigation practices,  Irrigation  systems, Subsurface
irrigation, Hydraulic conductivity, Soil  water,  Soil  water  movement,  Porous media.

An analytical solution is developed for a buried line source with  an  underlying
constant potential surface.  The geometry is  appropriate to describe  flow  from a
trickle or subsurface irrigation system of  porous  pipe or emitters spaced  closely
in a line above a shallow water table or  in a lysimeter.  Assumptions include
steady-state conditions and a hydraulic conductivity  exponentially related to the
pressure head.  The  soil water pressure head  distribution is calculated for two
geometries one for which the water table  dominates over  the line source through-
out the  flow medium, and a  second for which most of the  flow region is as  if the
source were above an infinitely deep  lower  boundary.


77:026-062
TRACING  THE TRANSFORMATIONS OF UREA FERTILIZER  DURING LEACHING,
Wagenet, R.J., Biggar, J.W., and Nielsen, D.R.
Utah State University, Department of  Soil Science  and Biometeorology, Logan,
Utah   84322.
Soil Science Society of America  Journal, Vol.  41, No. 5, p 896-902,  September-
October, 1977.   8 fig, 5 tab,  22 ref.

Descriptors:  Urea,  Fertilizers, Fertilization,  Nutrients,  Leaching,  Soils, Soil
 investigations, Mathematical studies, Kinetics,  Model studies,  Nitrification,
Denitri fication.

The transport and transformation of urea, NH(4+),  and NO(3-) in soil  were  math-
ematically described as  functions of  depth  and  time,  subject to either steady
 feed or  pulse application of N, using relationships derived by  assuming diffusion
and mass transfer as transport processes  and  first-order kinetics  as  a trans-
 formational mechanism.  The mathematical  model  was used  to  study the  enzymatic
hydrolysis of urea,  nitrification,  and  denitrification in laboratory  soil  columns.
Urea hydrolysis was  found to be  independent of  initial urea concentration  and the
 02 concentration of  the  soil atmosphere.  The rate of nitrification under  transient
N conditions was found to be one order  of magnitude greater than the  rate  of deni-
 trification when there was  20%  02 in  the  soil atmosphere.   Populations of  nitri-
 fiers  were found to  increase in response  to successive applications of N,


 77:02G-063
 NITRATE  DISSIMILATION AND POPULATION  DYNAMICS OF DENITRIFYING  BACTERIA DURING
 SHORT  TERM CONTINUOUS FLOW,
 Volz,  M.G., and  Starr, J.L.
 Department of Ecology and Climatology,  and  of Soil and Water,  the  Connecticut
Agricultural Experiment  Station, New  Haven, Connecticut.
 Soil Science Society of America Journal,  Vol. 41,  No. 5, p  891-896,  September-
 October, 1977.   4  fig, 2 tab,  20 ref.

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Descriptors:  Nitrates, Denitrification, Soils, Soil investigations, Nitrogen.

A solution containing 100 micrograms ml(-l) of N03(-) - N, 200 micrograms ml(-l)
of glucose-C, and 0..01N CaS04 was supplied continuously to soil in acrylic plastic
columns  (6 cm inside diam. x 10 cm length) for up to 96 hours while N2 gas was
passed through the system.  Concentrations of N03(-) - N in the effluent decreased
to 20 micrograms ml(-l) after 60 hours.  Simultaneously, N02{-) - N concentrations
increased from traces to 65 micrograms ml(-l) and more than 70% of applied C had
been utilized after 60 hours.  These results indicate that most C oxidation was
coupled with NO3(-) reduction although nearly all applied NO3(-) was ultimately
denitrified after 96 hours.


77:02G-064
HYDROLYSIS AND DECOMPOSITION OF CALCIUM MONTMORILLONITE,
Frenkel, H., and Suarez, D.L.
United States Department of Agriculture, Agricultural Research Service, United
States Salinity Laboratory, P.O. Box 672, Riverside, California  92502.
Soil Science Society of America Journal, Vol. 41, No. 5, p 887-891, September-
October, 1977.  3 fig, 2 tab, 12 ref.

Descriptors:  Calcium, Montmorillonite, Clays, Leaching, Cation exchange.

The extent to which exchangeable calcium hydrolysis occurs during the preparation
of hoinoionic calcium montmorillonite clay and the rate of the reaction in distil-
led water at various suspension concentrations and levels of C02 was determined
at 25 degrees C.  The rate and extent of hydrolysis was found to be comparable
to that reported for sodium montmorillonite and increased with C02 concentration.
CEC was appreciably reduced during washing of residual salts while preparing
calcium montmorillonite.  The mechanism of hydrolysis is discussed.


77:02G-065
DRAINAGE FLUX IN PERMEABLE SOIL UNDERLAIN BY A COARSE-TEXTURED LAYER,
Clothier, B.E., Scotter, D.R., and Kerr, J.P.
Massey University, Department of Soil Science, Palmerston North (New Zealand).
Soil Science Society of America Journal, Vol. 41, No. 4, p 671-676, July-August,
1977.  9 fig, 13 ref.

Descriptors:  *Hysteresis, *Lysimeters, *Model studies, Tensiometers, Drainage,
Hydraulics, Soil science. Equations, Mathematical studies, Water storage, Water
balance, Hydraulic conductivity.

Drainage from a permeable soil underlain by a coarse-textured layer was investi-
gated.  Simplified theory was used to develop a model relating the drainage flux
at the base of the soil to the water storage in the soil.  Despite significant
hysteresis in the water retentivity curve of the overlying soil and in the hy-
draulic conductivity-pressure potential relationship of the coarse layer, hystere-
sis had little effect on the storage-flux relation.  The model successfully
simulated field drainage as measured by a lysimeter and field profile water
storage as found by neutron moisture probe measurements.  The decline in the
drainage flux after the profile has been wetted depends on the depth and reten-
tivity of the soil and the hydraulic conductivity of the underlying coarse layer.
To use the model, only simple field measurements to find the storage-flux relation-
ship are needed.


77:02G-066
HOMOVALENT AND HETEROVALENT CATION EXCHANGE EQUILIBRIA IN SOILS WITH VARIABLE
SURFACE CHARGE,
Galindo, G.G., and Bingham, F.T.
California University, Department of Soil Science, Riverside, California.
Soil Science Society of America Journal, Vol. 41, No. 5, p 883-886, September-
October, 1977.  3 fig, 2 tab, 28 ref.

Descriptors:  Cation exchange, Soils, Soil investigations. Sodium, Calcium,
Potassium,  Magnesium, Adsorption.

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Cation-exchange equilibria involving  K, Na, Ca,  and Mg were  studied with  Chilean
Dystrandepts.  The K-Na exchange  and  the  Ca-Mg exchange  showed  that K  and Ca were
preferentially adsorbed.  Increased charge density through adsorption  of  phosphate
resulted in a reduction in the  selectivity for K in the  K-Na system.   Phosphate
adsorption had no apparent effect on  the  selectivity  for Ca  in  the Ca-Mg  system.
In heterovalent systems these soils showed a  perferential adsorption of the di-
valent cation.  This selectivity  was  more pronounced  at  low  equivalent concen-
tration of the divalent cation.   The  selectivity for  the divalent cation  increased
as the surface charge density was increased by phosphate adsorption.


77:02G-067
LEAD ADSORPTION BY MONTMORILLONITE USING  A COMPETITIVE LANGMUIR EQUATION,
Griffin, R.A. , and Au, A.K.
Illinois State Geological Survey, Department  of  Geochemistry, Urbana,  Illinois
61801.
Soil Science  Society of America Journal,  Vol.  41, No. 5, p 880-882, September-
October, 1977.  4 fig, 10 ref.

Descriptors:  Adsorption, Lead, Heavy metals,  Clays,  Montmorillonite,  Soil
properties, Soil chemical properties.

The adsorption of Pb from pure  Pb(N03)2  solutions by  Ca-montmorillonite at pH  5.00
and 25' degrees C was found to be  sensitive to the weight of  the clay sample.   This
apparent sensitivity of the  adsorption of Pb  to  the weight of the sample  was at-
tributed to Ca competition for  exchange  sites as determined  from Pb/Ca ratios
found in the  solutions.  Adsorption of Pb from O.lM Ca(Cl)4)2 solutions was sub-
stantially lower and was insensitive  to  the weight of the clay  sample. This
further supported our conclusion  that adsorption of Pb was dependent on the Pb/
Ca ratio.


77:02G-068
ABSENCE OF LOCAL EQUILIBRIUM DURING AMMONIUM  TRANSPORT  IN A  SOIL COLUMN,
Ardakani, M.S., and McLaren,  A.D,
California University, Department of  Soils and Plant  Nutrition, Berkeleyf
California    94720.
Soil Science  Society of America Journal,  Vol.  41, No. 5, p 877-879, September-
October, 1977.  3 fig, 1 tab,  9 ref.

Descriptors:  Adsorption, Ammonium compounds,  Soils,  Soil, investigations. Soil
tests, Soil water movement,  Sampling, Cation  exchange.

Adsorption of HN4(+) from a  stationary solution  phase by a Hanford  soil approached
an equilibrium state exponentially after  about 30 minutes.   By  contrast,  a local
equilibrium did not exist between NH4 (.+ )  in a moving  solution phase and soil in a
column while  a 77-ppm NH4(+)  -  N  solution was delivered  at a constant  flow rate
 for  26 days.  Local equilibrium,  however, was established when  the  downward solu-
tion  flow was stopped by setting  the  column horizontally 1 hour before sampling.
Thus, the generality of the  assumption of instantaneous  equilibrium for cations
 in moving soil solutions is  questioned.


 77:02G-069                                                '
DISSOLUTION OF ARSENIC FROM  WATERLOGGED  AND AERATED SOIL,
Hess, R.E., and Blanchar, R.W.
California University, Department of  Soil Science, Riverside, California   925Q2.
 Soil  Science  Society of America Journal,  Vol.  41, No. 5, p  861-865, September-
October, 1977.  1 fig, 1 tab,  16  ref.

 Descriptors:  Arsenic, Soils,  Soil investigations,  Soil  chemistry,  Soil chemical
properties, Soil properties.

 Sharpsburg and Menfro soils  containing 320  and 160 micrograms As/g, respectively,
were waterlogged with water  or  1% dextrose.   The Eh reached  a minimum  of  -150  mV
 after 1 day of incubation and increased  to  about +300 mV after  12 days for both
 soils in 1% dextrose.  The Eh remained constant in  the Sharpsburg  soil during  in-
 cubation with water, but gradually decreased  in the Menfro  soil.  In  the  1% dex-
 trose solution, As increased rapidly  in both  soils  and became constant after  12
                                        55

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days.  The As in solution increased more slowly when incubated with water, but
also remained constant after 12 days.  After freeze-drying and exposing the soil
to the atmosphere, Eh increased and As decreased to initial levels.


77:020-070
THE SHEAR RESISTANCE OF ROOT-PERMEATED HOMOGENEOUS AND STRATIFIED SOIL,
Waldron, L.J.
California University. Department of Soils and Plant Nutrition, Berkeley, California,
Soil Science Society of America Journal, Vol. 41, No. 5, p 843-849, September-
October, 1977.  8 fig, 3 tab, 17 ref.

Descriptors:  Soils, Soil investigations, Root systems, Root development, Root
distribution, Cohesion, Alfalfa, Barley, Model studies.

Mechanical reinforcement which stabilizes soil on slopes has been attributed to
plant roots.  To measure such reinforcement, direct shear tests were made on 25-
cm diameter root-permeated soil columns. Roots of alfalfa, barley, and yellow pine,
each increased the shear resistance of homogeneous and compacted layers of silty
clay loam at 30-cm depth.  One-year-old alfalfa had a much greater reinforcing
effect than pine trees 16 months after transplanting or barley at its maximum
growth.  Barley had a greater effect in the clay loam than pine, but its effective-
ness decreased as depth increased from 15 to 30 to 45 cm.  Alfalfa roots were
more effective than either pine or barley roots in increasing the resistance to
shearing between a dense gravel-sand layer  (simulating weathered rock) and the
overlying soil, increasing shearing resistance to as much as 5 times that of fal-
low soil.  A model is presented of soil reinforced by nonrigid roots.  Calculations
are given of slope safety factor increases from root reinforcement.


77:02G-071
EFFECT OF MOLE DRAINAGE ON SURFACE RUNOFF FROM A SOIL UNDER PASTURE,
Rennes, A., Tillman, R.W., Syers, J.K., and Bowler, D.G.
Massey University, Department of Soil Science, Palmerston North (New Zealand).
New Zealand Journal of Agricultural Research, Vol. 20, No. 1, p 45-49, February
1977.  2 fig, 2 tab, 12 ref.

Descriptors:  Drainage, Drainage systems. Runoff, Pastures, Soil investigations,
Mole drains, Soil moisture, Rainfall, Infiltration, Sediments.

The effect of mole drainage on soil moisture and on the movement of water in sur-
face runoff from Tokomaru silt loam under pasture was investigated using two 80
sq m surface runoff plots each of 6 degrees slope.  Frequently, particularly
during autumn and early winter, surface runoff was reduced on the drained site
by between 25 and 50% of that on the undrained site.  However, mole drainage
was less effective in reducing surface runoff during prolonged rainfall, as in
wet winter periods.  Under such conditions, there was a reduction both in the
differences between infiltration rates and in the infiltration rates themselves
for the drained and undrained sites.  Regression and correlation analyses sug-
gested that soil moisture was a primary factor influencing surface runoff from
the undrained site.  In contrast, rainfall intensity and duration were the primary
factors influencing surface runoff from the drained site.  Greater amounts of
sediment were transported in surface runoff from the undrained plot and up to 95%
of this sediment was less than 63 micrometers in diameter.  Mole drainage had a
pronounced effect in reducing the quantity of sediment transported.


77:02G-072
CURRENT TRENDS IN FIELD DRAINAGE PRACTICE,
Green, F.H.W.
Oxford University, Department of Agricultural Science, Parks Road, Oxford, 0X1
3PF, United Kingdom.
Journal of Environmental Management, Vol. 5, No. 3, p 207-213, July 1977.  5 fig,
5 ref.

Descriptors:  Drainage, Drainage districts, Drainage engineer, Drainage practices,
Drainage systems, Drains, Runoff.

To supplement a previous article, particulars are given of current changes in
field drainage practice in England and Wales.  Presentation  is in the  form of maps
with explanatory text, showing the regional variations in these changes.



                                         5b

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77:02G-073
THE MONMOUTHSHIRE LEVELS' DRAINAGE  SYSTEM:   ITS  ECOLOGY AND  RELATION  TO  AGRICULTURE
Scotter, C.N.G., Wade, P.M., Marshall,  E.J.P., and  Edwards,  RW
Wales University Institute of Science  and Technology,  Department  of Applied  Bioloqy,
Cardiff, S. Glamorgan, Wales.
Journal of Environmental Management, Vol. 5,  No.  1,  p  75-86   January  1977    7  fiq
2 tab, 22 ref.

Descriptors:  Drainage, Drainage  districts.  Drainage effects,  Drainage practices,
Drainage programs, Drainage  systems, Agriculture, Crop production, Wildlife  habi-
tats, Wildlife conservation, Wildlife.

The Gwent coastal plain or levels is principally an agricultural  area.   Its  8250
ha are dissected by 1407 km  of drainage channels (reens).  The type of agriculture
practiced, and realization of its full potential, are  dependent upon  the efficient
maintenance of the drainage  system.  The reens also harbour  a rich aquatic flora
and fauna.  This paper described  the evolution of the  drainage system, its manage-
ment and importance to the agriculture of the area.  Possible conflicts  between
progressively efficient agriculture, and the conservation  of the  reens as a  valuable
wetland habitat are discussed.


77:02G-074
EXTENSION OF THE SIMILARITY  HYPOTHESIS USED  FOR  MODELING THE SOIL WATER  CHARACTER-
ISTICS,
Mualem, Y.
Colorado State University, Engineering Research  Center, Fort Collins, Colorado.
Water Resources Research, Vol. 13,  No.  4, p  773-780, August  1977.  13 fig, 14  ref.

Descriptors:  *Soil water, *Hysteresis, *Soil moisture, *Model studies,  Mathemati-
cal models, Soils, Wetting,  Drying, Curves,  Soil physics,  Soil physical  properties,
Soil  science.

Two independent domains models were derived  by using an extended  similarity  hy-
pothesis, according to which the  pore  water  distribution function is  interpreted
to be f(r,rho) = h(r)h(rho).  When  the hypothesis was  applied to  the  Neel diagram
and the Mualem diagram, it yielded  2 different models  which  permit prediction  of
the hysteretical relationship from  only 1 branch of the main hysteresis  loop.  The
models yield an extremely simple  formula for the relationship between the boundary
drying and wetting curves.   Moreover,  a universal nondimensional  hysteresis  was
derived for all soils.  Comparison  with experiments showed that the model which
used  the Neel diagram fails  to reproduce a reasonable  shape  of the hysteresis
curves.  However, much better results  were achieved by the second model, which
used  the Mualem diagram.  In some cases the  predicted  curves were in  very good
agreement with the observed  ones.  For soils in  which  blockage against air entry
plays a significant role, the model is less  efficient  as a predictive tool.  It
yields poor results in the region of high water  content, while the predicted
curves are very close to the measured  ones in the range of low water  content.


 77:026-07 5
MODELING  INFILTRATION DURING A VARIABLE RAIN,
Chu,  S.T.
South Dakato State University, Department of Agricultural  Engineering, Brookings,
South Dakota  57007.
Presented  at the 1977 Annual Meeting of the  American Society of Agricultural
Engineers, June 26-29, 1977, Raleigh,  North  Carolina,  North  Carolina  State
University, p. 1-14.  1 fig, 2 tab, 6  ref, 45 equ.

Descriptors:  Model studies, Infiltration, Rainfall, Rainfall intensity, Rainfall-
runoff  relationships.

The Green Ampt equation was  modified to describe the infiltration process during
 a rainfall event with variable intensities.   A procedure was introduced  to deter-
mine  the volume of runoff and the distribution of rainfall excess.
                                          57

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77:02G-076
AIR-EARTH INTERFACE CONCEPT FOR WIDE-RANGE CONTROL OF INFILTRATION,
Dixon, R.M.
United States Department of Agriculture, Agricultural Research Service, South-
west Rangeland Watershed Research Center, Tucson, Arizona.
Presented  at  the 1977 Annual Meeting of the American Society of Agricultural
Engineers, June 26-29, 1977, Raleigh, North Carolina, North Carolina State
University, p. 1-33.  11 fig, 1 tab, 28 ref.

Descriptors:  Infiltration, Soil water movement, Simulation analysis, Soils,
Soil investigations.

The  air-earth interface concept is formulated and discussed relative to experi-
mental verification, compatibility with Darcy-based infiltration theory, quanti-
fication for predictive purposes, and applicability to practical infiltration
control problems.  This concept appears applicable to cultivated and uncultivated
soils, and to soils severely disturbed by road construction and strip mining.


77:02G-077
SOLUTE TRANSFER, WITH EXCHANGE BETWEEN MOBILE AND STAGNANT WATER, THROUGH
UNSATURATED SAND,
Gauden, J.P., Jegat, H., Vachaud, G., and Wierenga, P.J.
Centre National de la Recherche Scientifique, Paris  (France).
Soil Science Society of America Journal, Vol. 41, No, 4, p 665-671, July-August,
1977.  6 fig, 2 tab, 22 ref.

Descriptors:  *Solutes, *Transfer, *Ion exchange, Unsaturated flow, Diffusion,
Soils, Salinity, Depth, Leaching, Laboratory tests, Numerical analysis. Mathe-
matical models, Equations, Stagnant water, Calcium chloride.

Changes in salt concentration with time were measured at several depths inside
and at the exit of a 94-cm uniform unsaturated sand column which was leached at
steady rates with solutions of calcium chloride.  Observed salt distributions
were compared with salt distributions calculated with a numerical procedure
which was based on the dead-end pore model of Coats and Smith (1964) .  Values
for the dispersion coefficient, the diffusional mass transfer coefficient, and
the fraction mobile water used in the model were obtained at different water
contents by curve fitting observed and calculated concentrations at one depth.
The same values then were used to calculate salt distributions at other depths
and at the exit of the column and were compared with measured salt distributions.
Excellent agreement was obtained.  The model presented a good description of the
extensive tailing of the salt concentration distributions observed inside and at
the exit of the column.  The amount of stagnant water was found to increase with
decreasing water content from 4% of the total water content of 0.256 cu cm/cu cm
to 40% of the total water content at a water content of 0,200 cu cm/cu cm.  The
apparent dispersion coefficient decreased from 6 sq cm/hour to 1 sq cm/hour at
water contents of 0.256 and 0.200 cu cm/cu cm, respectively.


77:02G-078
KINETICS OF SALT RELEASE FROM A SALINE SOIL,
Jurinak, J.J., Whitmore, J.C., and Wagenet, R.J,
Utah State University, Department of Soil Science and Biometeorology, Logan, Utah.
Soil Science Society of America Journal, Vol. 41, No. 4, p 721-724, July-August,
1977.  5 fig, 8 ref.

Descriptors:  *Saline soils, *Utah, *Water quality,  *Soil chemical properties,
*Leaching, *Salinity, *Kinetics, *Salts, Diffusion, Analytical techniques,
Percolation, Soil moisture. Soil water, Soil water movement, Physical properties,
Properties, Saline water.

The kinetics of salt release from simulated saline sediments were studied to ascer-
tain the potential of sediments as a diffuse source of salinity.  Two rate equa-
tions were derived, both based on the premise that dissolution is a diffusion
controlled process.  The equations were ln(l-C/C sub s) = -kt and C = k't(l/2),
where c is the concentration at any point in the bulk solution, c sub s is the
equilibrium concentration of the soluble soil minerals, t is time, k is the  first-
order rate constant, and k' a proportionality constant.  Kinetic data were
                                         58

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obtained from a saline typic torriorthent  soil derived  from Mancos  shale  in  the
Price River Basin, Utah.  During the  initial  72 hours of  reaction,  dissolution
can be described by three diffusion controlled reactions.
size decreased the rate of reaction.
fective in describing salt release.
                     Increasing particle
Both derived equations were equally ef-
77:026-079
EFFECT OF SOIL STRENGTH ON SOIL DETACHMENT DUE  TO  RAINDROP  IMPACT,
Cruse, R.M. , and Larson, W.E.
Minnesota University, St. Paul, Minnesota.
Soil Science Society of America Journal, Vol. 41.  No.  4   p  777-781  Julv-Auaust
1977.  7 fig, 3 tab, 18 ref .

Descriptors:  *Raindrops, *Soil strength, *Impact  (rainfall), Erosion, Shear
strength, Sheet erosion, Bulk density, Soils, Mathematical  studies, Equations.

Soil strength was altered in 3 different ways to test  the hypothesis that soil
splash from raindrop impact is related to soil  strength parameters.  Bulk density
changes were used to alter direct  solid particle-to-particle contact; changes in
matric potential were used to change  contact relationships  between solid particles
and  liquid films; and additions of polyvinyl alcohol  (PVA)  provided a direct
bonding mechanism between solid particles.  The amount of soil detached by a
single simulated 4.8-mm raindrop falling from a height of 177 cm was correlated
closely with the shearing strength as measured  by  a triaxial compression test.


77:02G-080
ANALYSIS OF THE SATURATED-UNSATURATED HYDRAULIC CONDUCTIVITY IN A MIXED SODIUM-
CALCIUM SOIL SYSTEM,
Russo, D., and Bresler, E.
Volcanl Institute of Agricultural  Research, Bet-Dagan  (Israel) .
Soil Science Society of America Journal, Vol. 41,  No.  4,  p  706-710, July-August,
1977.  4 fig, 23 ref.

Descriptors:  *Hydraulic conductivity, *Ions, *Sodium, *Calcium, Soils, Soil water
movement, Montmorillonite, Pore pressure, Pores, Porosity,  Soil properties, Model
studies. Mathematical models, Soil science,

A model was developed to diagnose  the effects of Na/sq rt of Ca ratios and soil
solution concentrations on the hydraulic conductivity  for an unsaturated soil .
The  model takes into account the porous nature  and the electrical properties
of the soil.  Interactions between ions in the  exchange phase and in the liquid
phase were expressed quantitatively by the diffuse double-layer theory.  Experi-
mental data on the  effect of soil  solution and  soil water pressure on clay platelet
organization and structure were considered in the  model.  A test was made on the
sensitivity of the  model to variations in the various  input parameters ,  The model
was  found to be sensitive to the relationship between  the number of platelets per
clay particle and the ESP of the soil.  The diagnostic model was compared with
experimental data for 3 soils of different texture.  The  model approximates the
hydraulic conductivity function for many practical combinations of Na/sq rt of
Ca ratios and soil  solution concentrations for  the ranges of soil water content
in which most of the water flow occurs.
 77:O2G-081
 EFFECT OF MIXED NA-CA  SOLUTIONS  ON  THE  HYDRAULIC  PROPERTIES  OF UNSATURATED SOILS,
 Russo, D., and Bresler, E.
 Volcani Institute of Agricultural Research,  Bet-Dagan  (Israel) .
 Soil Science Society of America  Journal, Vol.  41,  No.  4,  p 713-717, July-August,
 1977.  6 fig, 1 tab, 20 ref.

 Descriptors:  *Sodium, *Calcium, *Soil  properties,  *Hydraulic properties. Soil
 water, Unsaturated  flow, Loam, Soils, Ion  exchange,  Diffusivity,  Hydraulic con-
 ductivity, Moisture content,  Laboratory tests,  Retention.

 The effects of mixed Na-Ca  solutions on soil water diffusivity and unsaturated
 hydraulic conductivity were tested  for  a loamy soil  from  Gilat,  Israel.  s°il
 water diffusivity functions,  D(theta),  were  determined by the horizontal infil-
 tration method.  Unsaturated  hydraulic  conductivity  functions, K(theta), were
                                         59

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determined both directly (by vertical infiltration for suction heads of 0-50
cm H20)  and indirectly (from diffusivity functions and soil water retention
curves).   Prior to determinations, soil samples were equilibrated with solu-
tions containing a given concentration and composition of Ca and Na .  The re-
sults showed that D(theta)  and K(theta)  are independent of solution concentra-
tions in a Ca-saturated system.  In mixed Na-Ca systems, hydraulic conductivity
and soil water diffusivity functions are highly dependent on the composition
and concentration of the soil solution,  in addition to their dependence on soil
water content, theta.  For any given theta, both K(theta) and D(theta)  decrease
as either soil solution concentration decreases or the sodium fraction in the
soil solution increases.  The negative effect of a combination of high Na-to-
Ca ratio and low soil solution concentration on K(theta) is related directly
to the degree of water saturation of the soil.  Low values of theta can com-
pensate for the negative effects of high Na-to-Ca ratio and low solution con-
centration .


77:026-082
CHISELING INFLUENCES ON SOIL HYDRAULIC PROPERTIES,
Allmaras, R.R., Rickman, R.W., Ekin, L.G., and Kimball, B.A.
Agricultural Research Service, Columbia Plateau Conservation Research Center,
Pendleton, Oregon.
Soil Science Society of America Journal, Vol. 41, No.  4, p 796-803, July-August,
1977.  7 fig, 2 tab, 26 ref.

Descriptors:  *Chiselling, *0regon, *Washington, *Soil water, *Infiltration,
*Hydraulic conductivity, Cultivation, Soil properties, Silts, Loam, Cation
exchange, Clays, Organic matter, On-site investigations, Bulk density,  Depth,
Moisture content, Drainage, Evaporation, Hydraulic properties.

Hydraulic conductivity  (K) and soil water desorption characteristic (SWDC) were
field measured in the 120-cm soil profile of a Walla Walla (Mesic type Haploxe-
roll) silt loam before and after chiselling 43-cin deep.  The test Walla Walla
soil is layered.  Chiselling affected both the SWDC and K in the upper 30 cm,
especially at 10 and 20-cm depths, but had no influence on the measurements
at increased, especially in the -50 to -300 mbar range.  Failure of chiselling
to improve water relations in the mild duripan extending from 30 to 45 cm sug-
gests the need for addition of plant residue or chemical amendments into the
chisel slots.  Water contents and hydraulic heads during drainage showed that
chiselling could reduce evaporation by reducing water content and diffusivity.
Overall soil profile hydraulic resistances showed relative average K up to 15
times greater as a result of chiselling 43 cm deep, but nearly similar accele-
rated internal drainages were projected for simulated chiselling to 25-cm depth
vs. chiselling to 43 cm.


77:02G-083
A LABORATORY TECHNIQUE FOR APPRAISING IN SITU SALINITY OF SOIL,
Mubarak,  A., and Olsen, R.A.
Montana State University, Department of Chemistry, Bozeman, Montana,
Soil Science Society of America Journal, Vol. 41, No.  5, p 1018-1020, September-
October,  1977.  2 fig, 2 tab, 14 ref.

Descriptors:  *Saline soils, *Salinity, *Electrical conductance, *Laboratory
tests,  Centrifugation, Chemistry, Salts, Analytical techniques, Soils, Soil
properties, Immiscibility, Soil science, Soil solutions, Dilution effects.


A laboratory technique was devised for removal of solution from soils at  field
water content.  A soil sample can be placed directly in a closable centrifuge
tube, thereby minimizing changes which could be induced by altering gaseous
equilibria.  Water need not be added to the soil sample, so changes in electrical
conductivity (EC) and in concentration of species present are avoided.  The  soil
solution was obtained from the sample by immiscible displacement with carbon
tetrachloride using centrifugation.  The technique is simple and relatively
rapid.   Values for EC in successively displaced solution samples from a given
soil sample were found to be essentially constant.  The values for EC obtained
for an assortment of soils were significantly higher than those obtained  using
2:1 or saturation extracts but were well correlated with them.
                                        60

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77:020-084
THE SOLUBILITIES OF CARBONATES AND PHOSPHATES  IN  CALCAREOUS  SOIL  SUSPENSIONS
Marion, G.M., and Babcock, K.L.                                              '
Weyerhaeuser Forestry Research Center,  505 North  Pearl  Street,  Centralia
Washington   98531.                                                      '
Soil Science Society of America Journal, Vol.  41,  No. 4,  p 724-728, July-Auqust
1977.  4 fig, 6 tab, 36 ref,  2 equ.

Descriptors:  Soils, Soil investigations. Carbonates, Phosphates,  Ions, Soil
chemistry.

Previously reported discrepancies between measured soil carbonate and  phosphate
activity products and the solubility  products  of  pure crystalline minerals may,
in part, be attributable to  the incomplete characterization  of  ion-pairs  in
solution.  Up to 50 percent  of the soluble P04 and significant  amounts of Ca,
Mg, and S04 were present as  ion-pairs.   Ignoring  ion-pairs resulted in signifi-
cant differences in calculated activity products  for both carbonates and  phos-
phates.  One soil was undersaturated  and two were supersaturated  with  respect
to calcite.  Calcite was the only carbonate mineral identified  by X-ray diffrac-
tion measurements.  Calcium  carbonate activity products were highly correlated
to Mg  activities.  Magnesium-calcite  apparently controlled the  solubility of
soil carbonate.  The soil phosphate activity products fell between the solubility
products of octacalcium phosphate and hydroxyapatite.   The phosphate solubility
data were compatible with, but not proof of, the  presence of calcium phosphate
minerals in soils.


77:02G-085
OXIDATION OF ELEMENTAL SULFUR IN SOILS,
Nor, Y.M., and Tabatabai, M.A.
Sains  Malaysia University, School of  Biological Sciences, Penang,  Malaysia.
Soil Science Society of America Journal, Vol.  41,  No. 4,  p 736-741, July-August,
1977.   5 fig, 4 tab, 25 ref.

Descriptors:  Oxidation, Sulfur, Soils, Soil investigations, Soil chemistry.

Studies of oxidation of elemental S in soils showed that thiosulfate and  tetra-
thionate are produced during S oxidation in soils.  In  this  work,  unamended and
elemental S-amended soils were incubated (30 degrees C)  under aerobic  conditions
for  various times.  The amounts of S203-, S406-,  and S04-S produced during in-
cubation were determined.  Results showed that S203(2-)  was  produced within the
first  few days of  incubation and that S406(2-)  accumulated in some soils.  The
rate of S oxidation increased with increasing  incubation temperature  (5,  15,
and  30 degrees C)  and with increasing the rate of S application (50, 100, and
200 micrograms S/gram soil).  For 100 micrograms  S/gram soil, the rates of oxi-
dation of elemental S in 10  Iowa surface soils ranged from 39 to  75 micrograms
S/gram soil after  incubation at 30 degrees C for  70 days; rates were more rapid
in alkaline soils  than in acid soils.  There was  little change  in pH of soils
even when the S application  rate was  increased from 50  to 200 micrograms  S/gram
soil.   The rate of S oxidation was lower in air-dried soils  than  in field-moist
soils.


77:02G-086
ADSORPTION OF ZN BY FE AND AL HYDROUS OXIDES AS INFLUENCED BY AGING AND PH,
Shuman, L.M.
Georgia University Agricultural Experiment Station, Experiment, Georgia   30212,
Soil Science Society of America Journal, Vol.  41,  No. 4,  p 703-706, July-August,
1977.   4  fig, 1 tab, 15 ref.

Descriptors:  Adsorption, Zinc, Iron.

Zinc solutions were equilibrated with both fresh  and aged Fe and  Al hydrous oxides
to measure Zn adsorption.  The data conformed  to  the Langmuir isotherm and the
Langmuir coefficients for Zn adsorption capacities and  bonding  energies were de-
termined.  The adsorption capacities  for the aged Fe oxide  (geothite)  and the aged
Al oxide  (gibbsite) were the same.  The adsorption capacities for both of the
fresh  oxides  (amorphous) were about 10 times those for  the aged oxides which cor-
responded to a 10-fold difference between their respective CEC's  and surface areas.
                                          61

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The bonding energies for Zn for the fresh Al oxide were three times that for the
fresh Fe oxide but the bonding energies for the two aged oxides were the same.
Bonding energies were directly related to adsorption capacities.  The inflection
points on the Zn adsorption vs. pH curves were between pH 5 and 6 for both oxides.


77:02G-087
SOIL TYPES AND INFILTRATION/WATER MOVEMENT,
Bree, J.
Agrifim Irrigation, Incorporated, 6948 Arrowwood Drive, Modesto, California  95355.
Drip/Trickle Irrigation, Vol. 2, No. 2, p 18-19, 29, March-April, 1977.  2 fig,
1 tab.

Descriptors:  Irrigation systems, Irrigation practices, Soils, Infiltration, Soil
water. Soil water movement, Soil moisture, Irrigation design.

With drip irrigation, watering the crop rather than the soil is discussed.  How-
ever, soils are of major importance to the agronomist, because they are his pri-
mary concern in the selection of equipment and the design of a drip/trickle system.


77:02G-088
INFLUENCE OF EXCHANGEABLE CATION ON THE SORPTION OF TRACE AMOUNTS OF CADMIUM BY
MONTMORILLONITE,
Garcia-Miragaya, J., and Page, A.L.
Institute Venezolano de Investigaciones Cientificas, Centro de Ecologia, Apdo 1827,
Caracas 101, Venezuela.
Soil Science Society of America Journal, Vol. 41, No. 4, p 718-721, July-August,
1977.  2 fig, 2 tab, 20 ref.

Descriptors:  Cation exchange, Sorption, Cadmium, Clays, Soil water. Soil moisture.

The effect of different exchangeable cations on the sorption of trace amounts of Cd
by montmorillonite (clay fraction, Upton, Wyoming)  was studied by equilibrating
samples of homoionic clay suspensions with CdC12 solutions ranging from 15 to 120
micrograms Cd/liter.  These Cd concentrations are similar to those found in natural
and contaminated soil-water systems.  The amount of Cd sorbed on the montmorillonite
surfaces depended on the kind of exchangeable cation, decreasing in the order Na-
montmorillonite > K-montmorillonite > Ca-montmorillonite > Al-montmorillonite.
Exchangeable Al was found to be particularly effective in reducing Cd sorption by
high energy sites on montmorillonite.


77:02G-089
EFFECT OF INORGANIC AND ORGANIC COMPOUNDS ON THE EXTRACTABILITY OF 239PU FROM AN
ARTIFICIALLY CONTAMINATED SOIL,
Nishita, H., Haug, R.M., and Rutherford, T.
California University, Laboratory of Nuclear Medical and Radiation Biology, Los
Angeles, California.
Journal of Environmental Quality, Vol. 6, No. 4, p 451-455, October-December,
1977.  1 fig, 4 tab, 32 ref.

Descriptors:  Soils, Soil investigations, Organic matter, Soil tests, Soil pro-
perties, Soil chemistry.

The effect of a number of inorganic and organic compounds on the extractability of
239Pu from a contaminated soil has been examined.  This has been done on an arti-
ficially contaminated kaolinitic soil by using the equilibrium batch method of ex-
traction.  Among the 21 inorganic compounds examined, NaHP04 showed the least 239Pu
extractability (0.07% of dose) and Na4P207 showed the greatest extractability
(28.59% of dose).  The compounds that showed relatively high 239Pu extractability
included NaF, Na2B407, Na4P207, Na2C03, Na202, NaOH, and NH40H.  Among the organic
compounds, the order of 239Pu extractability was Na acetate less than Na formate
less than Na oxalate less than Na tartrate less than Na citrate.  A 0.004M DTPA
solution was a more effective extractant than a 0.08M citric acid solution.  Aside
from the chemical nature of these compounds, the 239Pu extractability was influ-
enced by soil and extractant pH, soil organic matter, equilibrium time, soil weight/
extractant volume ratio, and wet-dry pretreatment of the soil.
                                         62

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77:020-090
ABIOLOGICAL METHYLATION OF MERCURY  IN  SOIL,
Rogers, R.D.
United States Environmental Protection Agency,  Monitoring  and  Support  Laboratory,
Office of Research and Development,  Las  Vegas,  Nevada   89114.
Journal of Environmental Quality, Vol. 6,  No.  4,  p  463-467,  October-December,  1977
3 fig, 3 tab, 11 ref.

Descriptors:  Soils, Soil investigations,  Heavy metals,  Mercury,  Organic matter,
Soil chemistry -

The results from this work define several  factors influencing  the methylation  of
mercuric ion in soil.  Two of  the most important  findings  were that  it is possible
to extract the mercury methylating  factor  from soil with a solution  of 0.5N  sodium
hydroxide  (NaOH) and that this factor  is responsible for the abiological methyla-
tion of Hg in the soils under  investigation.   The ability  of the  soil  extract  to
methylate Hg is influenced by  temperature, mercuric ion concentrations, and  solu-
tion pH.  In addition, it was  found that the methylating ability  of  the soil ex-
tract was stable at high temperatures  (121C),  but was  lost after  exposure to
ultraviolet radiation.


77:020-091
TEMPERATURE GRADIENT EFFECTS ON IN  SITU  HYGROMETER  MEASUREMENTS OF WATER POTENTIAL,
Wiebe, H.H., Brown, R,W., and  Barker,  J.
Utah State University, Department of Soil  Science,  Logan,  Utah 84322.
Agronomy Journal, Vol. 69, No. 6, p 933-939, November-December, 1977.   6 fig,  1 tab,
17 ref.

Descriptors:  Temperature, Hygrometry, Soil water,  Soil moisture, Soil properties,
Soils.

The effects of  temperature gradients on  water  potential measurements with various
commercial and  laboratory soil hygrometers were tested in  a soil  column at -18
bars or in a sponge column wetted with a -18 bar  sodium chloride  solution.   Tem-
perature gradients were  induced in  the medium  by  warming or cooling  either the
base or the top of the column  for several  hours.  Hygrometers  in  which the mea-
suring  (wet) junction was located in the middle of  the cylindrical sample surface
gave small temperature gradient errors,  less than 3 bars when  the temperature
gradient in the surrounding medium  was 1 degree cm(-l).  Locating the  measuring
thermocouple near the base of  the cylindrical  sample surface gave errors ranging
from 10 to 18 bars per gradient for 1  degree cm(-l).  Hygrometers with an "end
window" sample  surface gave errors  ranging from 23  to  62 bars. Water  potential
readings were consistently too low  (dry) when  the sample surface  was cooler  than
the measuring junction,  and too high (near zero)  when  the  sample  surface was
warmer.  Accurate water  potentials  were  obtained  with  all  models  when  medium tem-
perature was uniform.


77:02G-092
THE MINIMUM SIZE OF PERMEABLE  FILL  USED  WITH MOLE DRAINAGE,
Dennis, C.W., and Groote, S.G.
Ministry of Agriculture, Field Drainage  Experimental Unit, Fisheries and Food,
Anstey Hall, Trumpington, Cambridge, Great Britian.
Agricultural Water Management, Vol. 1, No. 2,  p 143-153, September   1977.  7 fig,
1 tab, 6 ref.

Descriptors:  Mole drainage, Drainage  engineering,  Drainage practices. Drainage
systems. Drains, Hydraulic conductivity.

Laboratory work involving the  full  scale simulation of flow from  a mole drainage
channel into a  trench filled with permeable material and thence to the pipe  drain
at the bottom of the trench is described.  Four sizes  of permeable fill, two trench
widths, two pipe types and a wide range  of flow rates  were used in the investiga-
tions.  Provided that there was reasonable vertical separation between the mole
channel and pipe the flow could be  divided into three  distinct phases  namely;
entry  from the  mole channel, near vertical flow within the permeable fill_and
entry  into the  pipe.  The most limiting  of these was the ability  of  the fill to
accept water from the mole channel. Variation of hydraulic head  with  flow rate
                                         63

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and permeable fill size at critical points of the system is presented in graphical
form.  It is suggested that permeable fill with a mean diameter of 5 mm is the
minimum size acceptable under United Kingdom conditions and that this result will
not be affected by the presence of a small quantity of fine material.  The hydrau-
lic conductivity associated with such material, in the absence of fines, is ap-
proximately 2500 m/day-  Application of the data to other design conditions is
also possible.


77:02G-093
PARAMETER ESTIMATION OF THE GREEN AND AMPT INFILTRATION EQUATION,
Brakensiek, D.L.,  and Onstad, C.A.
United States Department of Agriculture, Agricultural Research Service, Northwest
Watershed Research Center, Boise, Idaho   83701.
Water Resources Research, Vol. 13, No. 6, p 1009-1012, December 1977.  2 fig, 5 tab,
10 ref, 4 equ.

Descriptors:  Infiltration, Soil water, Soil water movement, Watersheds, Runoff,
Hydrology.

Infiltrometer data are utilized to test a fitting procedure for the Green and Ampt
infiltration equation parameters.  The spatial variation of the estimated para-
meters is averaged to give lumped parameter values for watershed modeling.  An ap-
propriate scale for parameter averaging is discussed, which transforms parameter
values to normal deviates.  A sensitivity analysis for the equation parameters is
performed for both infiltration estimates and runoff hydrograph volume and peak
rates.  The capillary pressure parameter shows least sensitivity; however, varia-
tion in the tillable porosity and effective conductivity parameters has a major
influence on infiltration and runoff amounts and rates.


77:02G-094
INFLUENCE OF THE HYSTERESIS EFFECT ON TRANSIENT FLOWS IN SATURATED-UNSATURATED
POROUS MEDIA,
Hoa, N.T., Gaudu, R,, and Thirriot, C.
Institute of Fluid Mechanics, Toulouse, France.
Water Resources Research, Vol. 13, No. 6, p 992-996, December 1977.  5 fig, 7 ref,
2 equ.

Descriptors:  Hysteresis, Saturated flow, Porous media, Soil water, Soil water
movement, Unsaturated flow, Simulation analysis.

In the following report the authors experimentally and numerically study one-
and two-dimensional transient flows where the hysteresis of the relationship
of suction-water content clearly appears.  In the numerical simulation of these
flows, by using a finite element method, the hysteresis effect is taken into ac-
count by considering both its primary and secondary scanning curves; when the
seepage surface occurs, it too is taken into account.  The comparison with ex-
perimental results shows that in the concerned problems a numerical simulation
in which this hysteresis effect is ignored may .involve important errors.


77:02G-095
INFILTRATION FORMULA BASED ON SCS CURVE NUMBER,
Aron, G., Miller,  A.C., Jr., and Lakatos, D.F.
Pennsylvania State University, Department of Civil Engineering, University Park,
Pennsylvania.
Journal of the Irrigation and Drainage Division, American Society of Civil
Engineers, Vol. 103, No. IR4, Proceedings Paper 13427, p 419-427, December 1977.
3 fig, 4 tab, 9 ref.

Descriptors:  *Infiltration, *Rainfall-runoff relationships, *Runoff, *Model
studies, Soils, Storms, Urbanization, Equations, Curves, Permeability, Storage
capacity, Soil water, Urban runoff, Differentiation.

A formula was developed for computing infiltration in rainfall-runoff simulations
from published Soil Conservation Service  (SCS) soils data.  Cumulative infiltra-
tion  was treated as the difference between cumulative rainfall and runoff.  The
SCS runoff formula then was differentiated with respect to precipitation to

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77:02G-096
PROTECTION OF A UNIQUE ECOLOGICAL AREA THROUGH IMPROVED WATER AND FERTILITY
MANAGEMENT,
Fischbach, P.E.
Nebraska University, Department of Agricultural Engineering, Lincoln, Nebraska.
Available from the National Technical Information Service, Springfield, Virginia
22161 as PB-274 399-  University of Nebraska Water Resources Center, Completion
Report, October 2, 1977.  187 p, 68 fig, 43 tab, 7 ref, 4 append.

Descriptors:  *Water management  (applied), *Soil properties, *Nitrogen, *Water
utilization, *Nitrates, *Leaching, *Fertilization, *Nebraska, Model studies,
Irrigation,  Sands, Corn (field), Soil water, Moisture deficit, Evapotranspiration,
Percolation, Rainfall, Fertilizers, Crop production, Soil-water-plant relation-
ships.

Research was conducted to define practices for managing water and nitrogen ferti-
lizer in the production of irrigated corn on sandy soils.  The objective was to
increase the efficiency of use of the water resource while minimizing the leaching
of nitrate nitrogen from the crop root zone to the groundwater system.  On the
sandy soils which were studied, experiments showed that it is not necessary to
completely replenish the soil water deficit at each irrigation.  Near maximum
yields were obtained when water application was limited to an amount equivalent
to .76 cm per day, approximately 60% of the peak evapotranspiration rate.  Stored
soil water and rainfall supplemented irrigation application.  Percolation loss
was minimized by this technique.  An irrigation frequency of 3.5 days during July
and August produced greater yields than did frequencies of 1.5 or 7 days.  Research
indicated that the present farmer practice of applying 250 kg/ha of nitrogen and
completely replenishing the soil water deficit at each irrigation may result in
nitrate leaching losses of 30 to 45 kg/ha during the growing season, depending on
rainfall amount.


77:02G-097
COLORIMETRIC DETERMINATIONS OF EXCHANGEABLE AMMONIUM, UREA, NITRATE, AND NITRITE
IN A SINGLE SOIL EXTRACT,
Onken, A.B., and Sunderman, H.D.
Texas A and M University, Agricultural Experiment Station, Agricultural Research
Extension Center, Lubbock, Texas.
Agronomy Journal, Vol. 69, No. 1, p 49-53, January-February, 1977,  10 tab, 9 ref.

Descriptors:  Ammonium, Urea, Nitrates, Nitrites, Fertilizers, Soils, Soil investi-
gations. Soil tests.

Interest in N transformations in soils has increased greatly in recent years,
particularly with increased use of urea-containing fertilizers.  However, only
one procedure for determination of exchangeable ammonium, nitrate, nitrite, and
urea in a single soil extract has been proposed and it requires the use of both
distillation and colorimetric equipment.  It would be useful to have a set of
colorimetric procedures for the determination of these N forms in a single ex-
tract.  Previous research indicated sodium sulfate, as an extractant,,would be
least likely to produce unwanted interferences in these procedures.  Thus, re-
search was initiated to determine  (i) if Na2S04 could be used as an extractant
for exchangeable NH4+, N03-, NO2- and urea and  (ii) necessary modifications to
make desirable colorimetric procedures usable in a Na2S04 extraction system.


77:026-09 8
EFFECT OF SELECTIVE DISSOLUTION, ELECTROLYTES, AERATION, AND STERILIZATION ON
TECHNETIUM-99 SORPTION BY SOILS,
Landa, E.R., Thorvig, L., and Cast, R.G.
Oregon State University, Department of Soil Science, Corvallis, Oregon  97331.
Journal of Environmental Quality, Vol. 6, No. 2, p 181-187, April-June, 1977.
7 fig, 2 tab, 24 ref.
                                        65

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Descriptors:  Soils, Soil investigation, Sorption, Soil chemistry, Soil chemical
properties, Anion exchange, Organic matter.

The objective of this study was to determine the extent that technetium-99, a
long-lived beta-emitting radionuclide, might be sorbed from aqueous solution
by 11 well-characterized soils, and to elucidate the sorption mechanisms involved.
About 98% of the added 99Tc was sorbed within a period of 2 to 5 weeks by 8 of the
11 soils.  The slow kinetics observed and the removal of trace quantities of 99Tc
from solution in the presence of large amounts of chloride and phosphate tend to
rule out anion exchange as the sorption mechanism.  The lack of sorption exhibited
by the low organic matter soils, the reduction in sorption following H202 digestion
of the soil, and the high recoveries of sorbed 99Tc on extraction with NaOH suggest
a role for the living and/or nonliving organic fraction of the soil.  Sterilization
of previously sorbing soils eliminated the sorption ability, indicating a micro-
bial role in the process.  Results of aeration experiments were ambiguous but
suggest that anaerobic conditions are not a prerequisite for 99Tc sorption by soils.


77-.02G- 099
DECOMPOSITION OF RICE STRAW IN SOILS AS AFFECTED BY SOME MANAGEMENT FACTORS,
Sain, P-, and Broadbent, F.E.
California University, Department of Land, Air, and Water Resources, Davis, Cali-
fornia  95616.
Journal of Environmental Quality, Vol. 6, No. 1, p 96-100, January-March, 1977.
6 fig, 3 tab, 18 ref.

Descriptors:  Rice, Decomposing organic matter, Soils, Soil investigations, Labora-
tory tests, Nitrogen, Phosphorus, Soil properties. Sulfur,

Decomposition of rice straw contained in nylon bags was measured in field experi^
ments at two different locations during winter and spring months.  Incorporated
straw decomposed more rapidly than did straw on the soil surface, and least
decomposition occurred in straw samples suspended above the soil surface as in a
windrow.  Decomposition rates were not affected by chopping straw.  Laboratory
decomposition experiments conducted at 8 and 25C and at 60 and 150% water holding
capacity showed more effect of low temperature in retarding straw decomposition
than excess water.  Additional nitrogen stimulated straw decomposition in Stock"
ton adobe clay during the first few weeks but had little effect in Sacramento
clay.  After 2 months' initial decomposition the soil samples treated with straw
were dried and rewetted to 60% water holding capacity (WHC), then incubated another
2 months.  During this period straw decomposition in Sacramento clay samples
which had received additional N was significantly depressed.  Additional P and
S had no effect on rice straw decomposition.


77:02G-lQO
MASSIVE ACCUMULATION OF CALCIUM CARBONATE AND ITS RELATION TO NITROGEN FIXATION
OF SAINFOIN,
Ross, W.D., and Delaney, R.H.
Wyoming University, Plant Science Division, Laramie, Wyoming   82071,
Agronomy Journal, Vol. 69, No. 2, 0 242-246, March^April, 1977.  2 fig, 3 tab,
25 ref.

Descriptors:  Lagoons, Calcium carbonate, Nitrogen, Soils, Soil investigations.

Sainfoin has many desirable qualities as a legume forage, but it is not widely
grown because of its lack of persistence and poor N-fixation on many sites.  The
effect of competition by non-N-fixing soil microorganisms on N*-fixation was
studied at 0, 50, 80, 95, and 100% levels of autoclaved soil sterilization.
Plants were grown aseptically for 30 days, dipped in Rhizobium inoculum, and
transplanted to the sterilized soil.  After 47 and 87 days in the growth chamber
at 24/18 C, the plants were harvested.  Nitrogen fixation was determined by the
acetylene reduction capacity of the complete root system.  Unexpectedly, root
distortion accompanied by massive accumulation of CaCO3 was stimulated in sain-
foin roots that were grown in autoclaved soil to reduce the soil microorganisms.
The purpose of the data presented is to describe the accumulation of Ca and its
affect on N-fixation in sainfoin.
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77:02G-101
ANION MOBILITY IN SOILS:  RELEVANCE TO NUTRIENT  TRANSPORT  FROM  TERRESTRIAL
TO AQUATIC ECOSYSTEMS,
Johnson, D.W., and Cole, D.W.
Washington University, College of Forest Resources, Washington,
Publication No. EPA-600/3-77-068, June 1977.   27  p, 8  fig,  1 tab,.  5Q ref, 1 append.


Descriptors:  Nutrients, Soil chemistry, Ions, Anions, Adsorption, Leaching,
Model studies.

Nutrient transport from terrestrial to aquatic ecosystems  is strongly mediated
by soil chemical interactions.   Ions deposited on or biologically  released with-
in the soils can enter into a variety of exchange and  precipitation reactions
prior to  (or  instead of) entering aquatic ecosystems.  This report reviews the
current knowledge of soil anion  adsorption  reactions and their  effects on leach-
ing, and suggests a simple model, based on  anion  production and adsorption
considerations, to predict and explain nutrient  transport.  The relationship
of this approach to that based on cation production and adsorption is discussed,


77:02G-102
PLUTONIUM UPTAKE BY PLANTS FROM  SOIL CONTAINING  PLUTONIUM  238 DIOXIDE PARTICLES,
Brown, K.W.,  and McFarlane, J.C.
Monitoring  Systems Research and  Development Division,  Environmental Monitoring
and  Support Laboratory, Las Vegas, Nevada   89114.
Publication No. EPA-600/3-77-052, May 1977.   13  p, 3 fig,  2 tab, 21 ref.

Descriptors:  Alfalfa, Vegetables, Crop production, Soil investigations, Plutonium,
Soil chemistry.

Three plant species--alfalfa, lettuce, and  radishes—were  grown in soils contami-
nated with  plutonium-238 dioxide (238Pu02)  at concentrations of 23, 69, 92, and
342  nanocuries per gram  (nCi/g).  The length  of  exposure varied from 60 days for
the  lettuce and radishes to 358  days for the  alfalfa.  The magnitude of plutonium
incorporation as indicated by the discrimination  ratios for these  species, after
being exposed to the relatively  insoluble Pu02r  was similar to  previously reported
data using  different chemical forms of plutonium.  Evidence indicates that the pre-
dominant  factor in plutonium uptake by plants may involve  the chelation of pluton-
ium  contained in the soils by the action of compounds  such as citric acid and/or
other similar chelating agents released from  the  plant roots.


77:02G-103
FIELD MEASUREMENT OF DENITRIFICATION,
Rolston,  D.E., and Broadbent, F.E.
California  University,  Department of Land,  Air and Water Resources, Davis, Cali-
fornia  95616.
Publication No. EPA-600/2-77-233, November  1977.  75 p, 40 fig, 15 tab, 13 ref.

Descriptors:  Denitrification. Leaching, Return  flow,  Water quality, Irrigation,
Irrigation  effects, Nitrogen, Nitrification,  Nitrates.

The  proportion of volatile products and rates of  denitrification as influenced by
field-soil  environmental conditions can only  be  ascertained by  measuring the flux
of the gases  produced.  A thorough, quantitative  evaluation of  the rate and mag-
nitude of denitrification, leaching, and plant uptake  provides  a means for making
management  decisions to control  irrigation  return flow water quality-


77:02G-104
IMMOBILIZATION OF FERTILIZER NITRATE APPLIED  TO  A SWELLING CLAY SOIL IN THE FIELD,
Kissel, D.E., Smith, S.J., Hargrove, W.L,,  and Dillow, D.W.
Texas Agricultural Experiment Station, Temple, Texas   76501.
Soil Science  Society of America  Journal, Vol. 41, No.  2, p 346-349, March-April,
1977.  2  fig, 1 tab, 18 ref.

Descriptors:  Nitrogen, Fertilizers, Fertilization, Nutrients,  Crop production,
Soil properties, Soil texture, Crop response, Immobilization, Sorghum, Clays,
Nitrogen, Soil temperature.
                                         b/

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Low recoveries of N fertilizer by crops on Houston Black clay prompted this  in-
vestigation.  Our objectives were to determine how much fertilizer nitrate can
be biologically immobilized under field conditions when fertilization exceeds
crop requirements and to determine when immobilization occurs during the growing
season.  Calcium nitrate tagged with 9.6 atom % 15N was applied to field micro-
plots at 328 kg N/ha and grain sorghum was planted in rows across each microplot.
The various components of the N balance were measured by sampling microplots
at different times during the season.  Only 2.1 kg N/ha was immobilized during
the first 47 days after fertilization and planting.  The rate of immobilization
increased rapidly during the next 60 days and an additional 60 kg N/ha was
immobilized.  This increase was apparently in response to an increase in soil
temperature above 22 C.


77:02G-105
ASSESSING TWO DIAGNOSTIC METHODS FOR ENUMERATION OF NITRATE REDUCING AND DENI-
TRIFYING BACTERIA IN SOIL-PLANT ROOT ASSOCIATIONS,
Volz, M.G.
Connecticut Agricultural Experiment Station, New Haven, Connecticut   06504.
Soil Science Society of America Journal, Vol. 41, No. 2, p 337-340, March-April,
1977.   4 tab, 14 ref.

Descriptors:  Nitrates, Denitrification, Bacteria, Soils, Soil investigations,
Soil chemistry, Fertilizers, Fertilization, Tomatoes, Soybeans, Corn.

Most probable number  (MPN) determinations were made of NO3(-}  reducing-and
denitrifying bacteria in soil samples taken at time of crop harvest from fallow
sites and from root zones of fertilized field plots of tomato, soybean or corn
plants  cultivated in pure stand or in association with nutsedge, a competitve
weed.   Diagnostic methods utilized were inoculated Difco N03(-) broth and Giltay's
medium  (citrate-nitrate-asparagine + mineral salts), incubated with and without
the exclusion of atmospheric 02, respectively.   The N03C-)  broth method usually
yielded both numerically larger and significantly different (5% level) MPNs for
N03(-)  reducers  (5 of 7 cases larger, 3 significant) and denitrifiers (6 of 7
cases larger, 3 significant) from a given soil inoculum when compared with identi-
cal enumerations performed with Giltay's medium.


77:02G-106
INFLUENCE OF PH ON THE SORPTION OF C0(2 + ), ZN(.2+) AND CA(2 + )  BY A HYDROUS MANGA-
NESE OXIDE,
Loganathan, P., Burau, R.G., and Fuerstenau, D,W.
Coconut Research Institute, Lunuwila, Sri Lanka.
Soil Science Society of America Journal, Vol. 41, No. 1, p 57-62, January-February,
1977.   7 fig, 1 tab, 15 ref.

Descriptors:  Sorption, Soil chemistry, Soil investigations,  Soil chemistry pro-
perties, Calcium, Cations, Adsorption, Ion exchange.

The uptake of Co2(+), Zn2(+), and Ca2(+) by delta-Mn02 at 24.0 ± 0,5 C as a function
of pH and salt concentration was investigated.   At pH values <5, delta-Mn02 re-
leased  structural Mn to solution phase during the sorption of Co2(+) and to a les-
ser extent during Zn2(+) sorption.  Calcium sorption did not release any Mn to
solution phase.  In addition, C02(+),  Zn2(+), and  Ca2(+) were  shown  to adsorb
specifically at the delta-Mn02 surface by exchange with bound H,  The pH values
had very little influence on the sorption of these cations.


77:02G-lQ7
ON THE CHEMICAL FOUNDATION OF THE SODIUM ADSORPTION RATIO,
Sposito, G., and Mattigod, S.V.
California University, Department of Soil and Environmental Sciences, Riverside,
California   92521,
Soil Science Society of America Journal, Vol. 41, No. 2, p 323r«329, March^April,
1977.    1 fig, 2 tab, 48 ref, 19 equ.

Descriptors:  Sodium, Cation exchange, Calcium, Magnesium, Cations, Soil chemistry,
Soil investigations, Soil properties, Computer programs, Soil tests.
                                         68

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The theoretical chemical basis of  the  sodium  adsorption  ratio  CSAR)  was  examined
in order to clarify two important  issues  that arise  in connection  with the  problem
of estimating potential sodium hazard:  (i)  the relation  between  SAR  and  the theory
of cation exchange, and (ii) the implications of  the universal practice  of  re^-
placing SAR by what may be  termed  the  practical SAR,  which  employs total concern,
trations of Na, Ca, and Mg  instead of  their free  cationic concentrations.   In regard
to (i), it was confirmed that SAR  can  be  given a  chemical basis  in terms of the
Gapon cation exchange equilibrium  constant which  is  provided in  this paper  with
a rigorous derivation for the first time.  The Gapon constant is shown to differ
from the Vanselow exchange  constant only  because  of  the  (arbitrary)  convention
adopted as to what entity is termed the ligand in the cation exchange reaction.
In regard to (ii), it was shown through a direct  calculation of  SAR  and  the
practical SAR for 161 different soil solutions or water  extracts,  utilizing
a comprehensive chemical equilibrium computer program, that an exact functional
relationship between the two parameters does  not  exist.


77:02G-138
EXCHANGE CAPACITY OF CALCIUM AND SODIUM SOILS AS  DETERMINED BY DIFFERENT
REPLACING CATIONS,
Ravina, I., and Gurovich, E.
Technion-Israel Institute of Technology,  Faculty  of  Agricultural Engineering,
Haifa,  Israel.
Soil  Science Society of America Journal,  Vol. 41, No. 2, p  319-322,  March-April,
1977.   2 fig,  5 tab, 26 ref.

Descriptors:  Cation exchange, Calcium, Sodium, Soils, Soil investigations, Cations,
Soil  properties.

Experimentally determined CEC values are  dependent on the nature of  the  initially
adsorbed cation and the replacing  one.  Cation exchange  capacities of Na-saturated
and Ca-saturated soils were determined using  monovalent  and divalent cations.  In
the exchange of initially adsorbed Na  or  Ca by monovalent cations, the magnitude
of CEC  increases with increasing ionic radius or  polarizability  of the replacing
cation.  The Na soil shows  a greater CEC  than the Ca soils. The Na  soil and Ca
soil  behave -differently with respect to the exchange by  divalent cations.  While
the CEC of a soil  initially saturated  with  Ca increases  as  the ionic radius of
the replacing  cation is larger, the magnitude of  CEC of  a Na soil  decreases.


77:02G-1Q9
PHOSPHORUS SORPTION CHARACTERISTICS OF FLOODED SOILS,
Khalid, -R.A.,  Patrick, W.H., Jr.,  and  DeLuane, R.D.
Louisiana State University, Center for Wetland Resources, Baton  Rouge, Louisiana.
Soil  Science Society of America Journal,  Vol. 41, No. 2, p  305^-310,  Marchr-April,
1977-   4  fig,  3 tab, 29 ref.

Descriptors:   Phosphorus, Soils, Soil  investigations, Soil  properties, Rice,
Crop  production, Louisiana,

Surface soils  representing  Alfisols and Inceptisols  were collected from  various
parts of  Louisiana under rice  cultivation and incubated  under oxidized  (.aerobic)
and reduced  (anaerobic) conditions for 2  weeks in a  soil to 0.01M  CaCl2  solution
ratio of  1:5.  The release  of  native soil P and the  sorption of  added inorganic
P was investigated under these  conditions.  The soils selected for study were
characterized  for  clay content, total  carbon, extractable P, pH, and oxalate-
extractable Fe, and soil properties associated with  P sorption.  The results
show  that generally more soil P was released  under reduced  than  oxidized con-
ditions, and this increase  in soluble  P under reduced conditions was signifi-
cantly  related to Bray no.  2 extractable  P, clay  content, and oxalate Fe.


77:02G-110
MEASUREMENT OF ISOTOPIC EXCHANGEABLE SOIL PHOSPHORUS AND INTERRELATIONSHIP  AMONG
PARAMETERS OF  QUANTITY, INTENSITY, AND CAPACITY FACTORS,
Dalai,  R.C., and Hallsworth, E.G.
New England University, Department of  Agronomy and Soil  Science, Armidale,  New
South Wales 2351, Australia.
Soil  Science Society of America Journal,  Vol. 41, No, 1, p  81^86,  January-
February, 1977.  6 tab, 28  ref, 10 equ.
                                         69

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Descriptors:  Phosphorus,  Soils,  Soil investigations, Soil chemistry, Soil tex-
ture, Soil chemical properties.

The applicability of various techniques to measure isotopically exchangeable
phosphorus for widely different soils was investigated.  The E-values obtained
in the laboratory by carrier-free (E-value)  and carrier-methods (Ec value) were
comparable to L-values obtained in the greenhouse in low-phosphorus fixing
soils but were very much higher in high phosphorus fixing soils.  In the latter
group E-values obtained by inverse-dilution technique  (E.I.D. value) were more
comparable to L-values.


77:02G-111
FITTING SOLUTE BREAKTHROUGH EQUATIONS TO DATA USING TWO ADJUSTABLE PARAMETERS,
Elprince, A.M., and Day, P.R.
King Faisal University, Department of Soils and Agricultural Engineering,
Al-Hassa, Saudi Arabia.
Soil Science Society of America Journal, Vol. 41, No. 1, p 39-41,  January-
February, 1977.  2 fig, 1 tab, 20 ref.

Descriptors:  Adsorption,  Anions, Soils, Soil investigations, Hydrodynamics,
Soil chemistry, Soil chemical properties.

Negative adsorption of anions reduces the volume of liquid available for the
transport of electrolytes in the soil, and hence affects the nature of the break-
through curve.  A similar problem arises when there are appreciable volumes of
soil solution which are essentially stagnant, and thus do not contribute signi-
ficantly to the convective flux.   These effects can be taken into account by
introducing a second adjustable parameter (the effective solution volume) into
the  transport equation, in addition to the dispersion coefficient.  The calcu-
lations demonstrate in a given example that a least squares procedure, applied
simultaneously to the two parameters during the curve-fitting process, resolves
the  apparent discrepancy between the theoretical breakthrough curve and the
experimental data.


77:02G-112
THERMODYNAMIC STABILITY AND SOLUBILITY OF MOLYBDENUM MINERALS IN SOILS,
Vlek, P.L.G., and Lindsay, W.L.
International Fertilizer Development Center, Florence, Alabama  35630.
Soil Science Society of America Journal, Vol. 41, No. 1, p 42-46,  January-
February, 1977.  4 fig, 3 tab, 30 ref.

Descriptors:  Molybdenum,  Thermodynamics,  Soil chemistry, Soil chemical pro-
perties, Soils, Soil investigations, Laboratory tests.

The  chemical reactions of molybdenum in soils were studied in the laboratory.
Solubility diagrams were constructed from thermodynamic data obtained from the
literature and from measurements made on pure minerals.  Included in these
diagrams were solubility relationships for molybdenite, ilsemannite, ferrimolybdite,
powellite, and wulfenite.   From these diagrams it appears that wulfenite is one
of the most stable Mo minerals likely to form in soils.  Lack of thermodynamic
data on other Mo minerals prevents their evaluation as possible reaction products.
The  solubility of Mo in selected Colorado soils in the pH range of  5,5 to 7.7
was plotted on the wulfenite solubility diagram.  Of the 13 soils used in this
study, only one showed equilibrium with respect to wulfenite.  When wulfenite
was added to several other soils, the molybdenum solubility increased 10 to 100
fold, confirming that wulfenite was not initially present.  These wulfenite^
amended soils showed a close correspondence between soluble Mo and  the wulfenite
solubility isotherm.  In the absence of solid phase Mo compounds, the solubility
of Mo in soils is controlled by specific adsorption,


77:02G-113
THE NITROGEN ISOTOPE EFFECT ASSOCIATED WITH NITRATE AND NITRITE LOSS FROM WATER-
LOGGED SOILS,
Chien, S.H., Shearer, G.,  and Kohl, D,H.
Washington University, Center for the Biology of Natural Systems, Saint  Louis,
Missouri  63130.
Soil Science Society of America Journal, Vol. 41, No.  1, p 63-69, January-
February, 1977.  8 fig, 3 tab, 11 ref,



                                          70

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Descriptors:  Nitrogen, Isotopes, Nitrates, Nitrites,  Saturated  soils,  Illinois,
Glucose, Denitrification, Soils, Soil  investigations.

Changes in the isotopic composition of added N03(-), during  the  course  of its
disappearance from two central Illinois  soils are reported.  The only known
difference in the two soils is the cultural history of  the fields  from  which
they were taken.  A large  (approximately threefold) difference between  the two
soils was observed in the isotopic fractionation factor associated with N03(->
loss.  Large differences in the two soils with  respect  to both the rate of N03(-)
loss and the isotopic fractionation associated  with it  were  apparently  related
to differences in the two fields rather  than to temporal or  spatial variation
within the fields.  Addition of glucose  (1% with respect to  dry  soil weight)
caused the difference between the two  soils to  disappear.  It also appreciably
reduced the apparent isotopic fractionation factor in  both soils,


77:02G-114
EVALUATION OF SOIL NITROGEN MINERALIZATION POTENTIALS  UNDER  MODIFIED FIELD
CONDITIONS,
Smith, S.J., Young, L.B., and Miller,  G.E.
United States Agricultural Water Quality Management Laboratory,  Durant, Oklahoma
74701.
Soil Science Society of America Journal, Vol. 41, No,  1, p 74-76,  Januarys-February,
1977.  1 fig, 3 tab, 11 ref,

Descriptors:  Nitrogen, Soils, Soil investigations, Mineralization, Oklahoma,
Soil temperature, Soil water, Soil moisture.

Amounts of mineral N obtained by a calculation  procedure and measurement in fallow
plots were compared during two cropping  seasons and annually with  eight Oklahoma
soils.  The calculation procedure involved adjusting the N mineralization poten-
tials for varying soil temperature and water content.   The field N measurements
involved the use of soil in plastic bags and glass filter tubes.  Cropping season
and  annual field amounts for the eight soils, on the average, ranged from 54 to
78 ppm N.  In general, the calculated  amounts compared  favorably to the field
amounts, differences frequently being  <10 ppm N.  Calculated amounts correlated
as well or better with the field amounts than a variety of other N availability
indexes.


77:02G-115
FACTORS AFFECTING WATER DISTRIBUTION AFTER UNIFORM IRRIGATION,
Sinai, G., and  Zaslavsky, D.
Technion, Department of Agricultural Engineering, Haifa, Israel,
Presented at the 1977 Winter Meeting of  the American Society of  Agricultural
Engineers, December 13-16, 1977, Palmer  House Hotel, Chicago, Illinois, p 1-29.
12 fig, 19 ref.

Descriptors:  Irrigation,  Irrigation water, Soil moisture, Soil  water,  Soil water
movement, Hydraulic conductivity, Irrigation effects.

Uniformly distributed  irrigation water could infiltrate laterally  so that the
spatial variability in moisture in the root zone would be very high.  This was
observed in field experiments and was  proved theoretically.  A suggested explana-
tion was lateral flow  in the soil due  to anisotropy in its conductivity.  Most
cultivated layers are anisotropic so lateral flow could occur in fields.


77:02G-116
EFFECT OF DRAIN DIAMETER, OPENINGS AND ENVELOPES ON WATER TABLE  DRAWDOWN,
Skaggs, R.W., and Tang, Y.K.
North Carolina  State University, Department of  Biological and Agricultural
Engineering, Raleigh, North Carolina   27607.
Presented at the 1977 Winter Meeting of  the American Society of  Agricultural
Engineers, December 13-16, 1977, Palmer  House Hotel, Chicago, Illinois, p 1-21.
10 fig, 4 tab,  15 ref.

Descriptors:  Drainage, Drainage effects, Drainage engineering,  Drainage
practices, Drainage systems, Soil water  movement.
                                         71

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Numerical solutions to the Richards equation for flow to parallel drains were used
to determine the effects of drain tube diameter, openings and envelopes on water
table drawdown.


77:02G-117
BENEFITS OF SURFACE DRAINAGE,
Estes, R.D., and Harris, W.S.
Arkansas Cooperative Extension Service, Division of Agricultural Engineering,
Little Rock, Arkansas.
Presented at the 1977 Winter Meeting of the American Society of Agricultural
Engineers, December 13-16, 1977, Palmer House Hotel, Chicago, Illinois, p 1-3.
3 tab, 3 ref.

Descriptors:  Drainage, Drainage effects, Economics, Surface drainage.

Land was graded in approximately 40 ha. fields with a 40 ha. field left ungraded
as a check.  Records of operating costs and yields were kept for a three-year
period.  There was no appreciable difference in operating costs or yields.  The
difference was in management benefits.


77:02G-118
PROCEDURES FOR EVALUATION OF DRAINAGE BENEFITS FOR AGRICULTURAL CROPS,
Manley, D.W.
United States Department of Agriculture, Soil Conservation Service, Midwest Tech-
nical Service Center, Lincoln, Nebraska,
Presented at the 1977 Winter Meeting of the American Society of Agricultural
Engineers, December 13-16, 1977, Palmer House Hotel, Chicago, Illinois, p 1-6.
6 tab.

Descriptors:  Economics, Drainage, Agriculture, Crop production, Drainage
practices, Drainage systems.

The basic concepts and procedures used by the Soil Conservation Service for making
an economic analysis of drainage for agricultural crops is described,


77:02G-119
RELATIONSHIPS BETWEEN SOIL UREASE ACTIVITY AND OTHER SOIL PROPERTIES,
Zantua, M.I., Dumenil, L.C., and Bremner, J.M,
Iowa State University, Department of Agronomy, Ames, Iowa  50011.
Soil Science Society of America Journal, Vol. 41, No. 2, p 350-352, March-April,
1977.  3 tab, 14 ref, 2 equ.

Descriptors:  Iowa, Soils, Soil investigations, Soil properties, Cation exchange,
Soil texture, Organic matter.

Surface samples of 21 diverse Iowa soils representing a wide range in pH, texture,
and organic matter content were studied to determine the relationships between
soil urease activity and other soil properties.  Simple correlation analyses show-
ed that urease activity was correlated very highly significantly with organic C
(r=0.72 at the 0.1% level), total N (r=0.71 at the 0,1% level), and cation-exchange
capacity  (r=0.67 at the 0.1% level).  Urease activity also was significantly cor-
related with clay  (0.53 at the 5% level), sand  (-0.47 at the 5% level), and surface
area (0.45 at the 5% level), but was not significantly correlated with pH, silt,
or CaC03 equivalent.  Multiple regression analyses showed that organic matter con-
tent accounted for most of the variation in urease activity,


77:02G-120
PROFILE ACCUMULATION OF FERTILIZER-DERIVED NITRATE AND TOTAL NITROGEN RECOVERY IN
TWO LONG-TERM NITROGEN-RATE EXPERIMENTS WITH CORN,
Jolley, V.D., and Pierre, W.H.
Agricultural Home Economics Experiment Station, Ames, Iowa   50011,
Soil Science Society of America Journal, Vol. 41, No. 2, p 373-378, March-April,
1977.  1 fig, 5 tab, 26 ref.
                                         72

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Descriptors:  Fertilizers, Fertilization, Nitrates,  Nitrogen,  Corn,  Crop  response,
Soils, Soil investigations, Soil profiles,  Denitrification.

Two long-term N-rate experiments with corn  which had been conducted  in  northwestern
Iowa on the Moody and Galva silty  clay  loam soils for 17  and 15  years,  respectively,
were studied to determine the recovery  of applied N  (i) as N03(-)N at various  soil
depths, (ii) as organic or fixed N,  and (iii)  as N removed in the harvested  corn
grain.  The annual N rates applied as NH4N03 were 0, 56,  112,  and 168 kg  N/ha  on
the Moody soil and 0, 90, and 134  kg N/ha on the Galva soil.  Nitrogen  recovery
in the fertilized plots was determined  by subtracting the amounts for the unferti-
lized treatment from those for  the fertilized treatments.

77:02G-121
ION EXCHANGE REACTIONS IN NONDRIED CHAMBERS MONTMORILLONITE  HYDROXY-ALUMINUM
COMPLEXES,
Keren, R.,  Gast, R.G., and Barnhisel, R,I.
Minnesota University, Department of Soil Science, Saint Paul,  Minnesota   55108.
Soil Science Society of America Journal, Vol.  41, No. 1,  p 34-39, January-February,
1977.  1  fig, 3 tab, 30 ref.

Descriptors:  Soils, Soil chemistry, Soil properties, Soil investigations, Mont-
morillonite, Clays, Sodium, Adsorption, Cation exchange.

The extent  and mechanisms by which hydroxy-Al interlayer's may reduce the  CEC of
Chambers montmorillonite were studied using 22-Na labeled clay.  Clay-hydroxy-Al
complexes were formed by added  A1C13 and NaOH at pH  7, 5-9,  5.   A1C13 was added
at 4,  8,  or 16 meq/g clay and either before, after,  or simultaneously with NaOH.
Addition  of 16 meq AlC13/g clay followed by NaOH resulted in CEC reductions  of
60, 40, and 10% at pH 7.5, 8.5, and 9.5 as  measured  by Na adsorption.   However,
there was no trapped or nonexchangeable 22-Na observed in any of the systems.
Since  the charge on the hydroxy-Al is negligible at  these pH''s,  the  CEC reduction
is apparently due to trapped Al.


77:02G-122
DRAINAGE  LAW ASSISTS LAND DRAINAGE,
Irwin, R.W., and Johnston, J.R.
Guelph University, Department of Engineering,  Guelph, Ontario, Canada.
American  Society of Agricultural Engineers, Post Office Box  410, Saint  Joseph,
Michigan    49085, Paper Number  77-2560.  59 fig.

Descriptors:  Laws, Drainage, Drainage  systems, Drains, Drainage practices.

Drainage  law in Ontario is integrated to provide systems  of  procedures, financing
and  inspections to ensure that  agricultural drainage proceeds in a deliberate
and  fair  way.  The law covers the  construction of outlet  drains, on-farm  tile
drains and  the regulation of the drainage construction industry.


 77:02G-123
MODELING  INFILTRATION UNDER MOVING SPRINKLER IRRIGATION SYSTEMS,
Slack, D.C.
Minnesota University, Department of Agricultural Engineering,  Saint  Paul, Minnesota.
Presented at the 1977 Winter Meeting of the American Society of  Agricultural
Engineers,  December 13-16, 1977, Palmer House Hotel, Chicago,  Illinois, p 1-23.
 9 fig, 1  tab, 21 ref, 10 equ.

Descriptors:  Model studies, Infiltration,  Sprinkler irrigation, Irrigation,
 Irrigation  systems, Soils, Simulation analysis,

A modified  Mein and Larson model was employed to predict  time to surface  ponding
under two types of center pivot irrigation  systems on two agricultural  soils.
Results were compared with those observed in the field.  The model did  a  good
 job  of predicting time to surface  ponding but did not perform as well as  for
predicting  volume infiltrated at ponding.
                                          73

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77:02G-l24
NONLINEAR ADSORPTION IN LAYERED POROUS MEDIA FLOW,
Lin, S.H.
Polytechnic Institute of New York, Department of Chemical Engineering, Brooklyn,
New York.
Journal of the Hydraulics Division, American Society of Civil Engineers, Vol. 103,
No. HY9, Proceedings Paper 13192, p 951-958, September 1977.  3 fig, 11 ref,
2 append.

Descriptors:  *Adsorption, *Dispersion, *Porous media, *Model studies. Mathematical
models, Seepage, Seepage control, Equations, Soil water, Soil water movement,
Solutes, Groundwater.

Dispersion and adsorption of solute in multilayer saturated porous media with con-
stant specific discharge were examined.  Differential equations were formulated for
describing the solute concentration in two-layer porous media.  A general nonlinear
equilibrium adsorption isotherm of the Freundlich type was considered.  The non-
linear coupled differential equations were solved by the orthogonal collocation
method to give the solute concentration distributions in the media when subject
to a step-change or an exponential input.   It was found that under many circum-
stances, the general dispersion model can  be reduced to a simpler plug-flow
model by neglecting the dispersion component in the governing differential equa-
tions.  A criterion for this simplification also was suggested.


77:02G-l25
TRANSIENT DRAINAGE EQUATIONS FOR NONHOMOGENEOUS SOILS,
Chu, S.T.
South Dakota State University, Department  of Agricultural Engineering, Brookings,
South Dakota.
Transactions of the American Society of Agricultural Engineers,  Vol. 20, No. 6,
p 1085-1088, November-December, 1977.  3 fig, 3 tab, 9 ref.

Descriptors:  *Drainage, *Soils, *Unsteady flow, *South Dakota,  Water table,
Theoretical analysis, Model studies, Mathematical models, Analytical techniques,
On-site  tests, Water levels, Hydraulic conductivity, Equations,  Soil physical
properties, Nonhomogeneous soils, Drain spacing.

One of the limitations inherent in the derivation of many transient drainage
equations is the assumption of a homogeneous soil.  Graphical representation of
transient drainage equation for nonhomogeneous soil was obtained by a scheme
devised by Bouwer.  He devised a scheme where the soil profile is split up into
a number of_layers.  Within each layer, the soil parameters were considered as con-
stants.  He combined the solutions for each layer and obtained the solution of
the Green and Ampt infiltration equation for nonhomogeneous soils.  The applica-
tion of the theoretical solution to predict the fall of a water table was illustra-
ed.  An evaluation of the theory by field  measurements was presented.  Good agree-
ment between the theoretical and field measured water table height was found.


77:02G-126
VERTICAL DRAINAGE IN FIELD CORES,
Wells, L.G., and Skaggs, R.W,
Kentucky University, Department of Agricultural Engineering, Lexington, Kentucky,
Transactions of the American Society of Agricultural Engineers, Vol. 20, No, 1,
p 79-84, January-February, 1977.  7 fig, 2 tab, 15 ref.

Descriptors:  *Drainage, *Cores, *Laboratory tests, Soil water movement, Soil
tests, Mathematical models, Hydraulic conductivity, Soil types, Pressure head,
Water table, Irrigation.

In this study, one-dimensional water movement during drainage was examined experi-
mentally using large field cores.  The cores were 51 cm in diameter and were con-
sidered large enough to incorporate heterogenities such as worm holes and plant
roots, yet small enough to bring into the lab where experimental measurements
could be made under controlled conditions.  The objective of the study was to
evaluate alternate methods of characterizing one-dimensional drainage in natural
soils with relatively shallow water tables.

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77:020-127
OPTIMAL PREDICTION OP PONDING,
Smith, R.E., and Parlange, J.Y.
Agricultural Research Service, Fort Collins, Colorado.
Transactions of the American Society of Agricultural Engineers, Vol. 20  No  3
p 493-496, May-June, 1977.  1 tab, 6 ref,  1 append.

Descriptors:  *Ponding, *Runoff, *Rainfall, *Model  studies, Mathematical models.
Soil physics. Porous media, Infiltration,  Precipitation  (atmospheric), Hydraulic
conductivity. Moisture content, Saturated  soils,  Surface  runoff, Soil science,
Watersheds  (basins).

Soil physics and porous media flow are being used more and more today to develop
means to predict hydrologic response of watersheds  and to provide better manage-
ment tools  for water resources.  One important variable in studying watershed
response to storm rainfall is the time between initiation of rainfall and the in-
iation of surface runoff, or ponding time.  This  study described a mathematical
technique that allows improved estimates of the delay in  watershed response to
rain, knowing only  two basic soil parameters from the physics  of soil water flow.


77:02G-128
SOIL WATER  MODELING II:  ON SENSITIVITY TO FINITE DIFFERENCE GRID SPACING,
Amerman, C.R., and  Monke, E.J.
Agricultural Research Service, Columbia, Missouri.
Transactions of the American Society of Agricultural Engineers, Vol. 20, No. 3,
p 478-484,  488, May-June, 1977.  10 fig, 2 tab, 18  ref.

Descriptors:  *Soil water, *Soil water movement,  *Model studies, *Mathematical
models,  Infiltration, Finite element analysis, Analytical techniques, Mathe-
matics,  Water levels, Flow, Hydraulic conductivity, Saturated  flow, Unsaturated
flow, Hydrology.

The  influence of finite difference grid size on soil water flow model accuracy
was  studied using  two cases.  One case was of  steady, two-dimensional infiltra-
tion using  the successive overrelaxation  (SOR) method of  solving finite difference
equations.  The other case was of transient, two-dimensional infiltration using
the  alternating direction implicit  (ADI) method.  Finite  difference expressions
were formulated for both cases using central differencing techniques,  In the
transient case, a  very  small grid size in  both time and space  dimensions was
necessary at the initiation of infiltration.   Furthermore, the ADI method for
the  nonlinear case  was  only conditionally  stable  at least at the initiation of
infiltration.  As  infiltration proceeded,  however,  both the time and the space
grid sizes  could be made larger.  Indicators of a grid size that was obviously
too  coarse  were a  fluctuating  infiltration rate in  the transient case and ir-
regulary shaped equipotential  lines in the steady-state case.  Although the
models were nonlinear,  they both converged;  for example,  successively smaller
grid sizes  yielded  solutions that asymptotically  approached a  limit.  For a
given regular grid  size, considerable computational saving could be effected
without  appreciable loss of accuracy by using  an  irregular grid in which the
regular  grid size  was duplicated in the part of the section exhibiting the
greatest curvature  of equipotential lines, while  larger grid sizes could be used
in other parts of  the section.  Smaller grid sizes  also were needed in regions
where hydraulic gradient changed rapidly.  Accuracy of estimation varied ap-
proximately with the  inverse of grid size  rather  than with the square of the in-
verse, as is generally  claimed for central differencing on a square grid.


77:026-129
A CONTINUOUS WATER BUDGET MODEL FOR WESTERN  KANSAS,
Neibling, W.H., Koelliker, J.K., and Ohmes,  F.E.
United States Department of Agriculture, Agricultural Research Service, Agricul-
tural Engineering  Building, Purdue University, West Lafayette, Indiana.
Presented at the 1977 Annual Meeting of the  American  Society of Agricultural
Engineers,  June 26-29,  1977, Raleigh, North  Carolina, North Carolina State
University, p 1-17.   5  fig, 3  tab,  22 ref, 4 equ.

Descriptors:  Kansas, Model studies, Evapotranspiration,  Soil  moisture, Soil
water, Soil profiles, Climate.
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A continuous water-budget model was developed and calibrated for use  in western
Kansas.  Daily potential evapotranspiration  (PET), actual ET, and  soil moisture
changes in a 213 cm soil profile were calculated from inputs of crop  and  soil
moisture characteristics and daily meteorological observations.


77:02G-130
ADSORPTION OF ALUMINUM BY A SMECTITE:  I. SURFACE HYDROLYSIS DURING CA2(+)(-)
AL3(+) EXCHANGE,
Bloom, P.R., McBride, M.B., and Chadbourne, B.
Cornell University, Department of Agronomy, Ithaca, New York   14853.
Soil  Science Society of America Journal, Vol. 41, No. 6, p 1068-1072, November-
December, 1977.  1 fig, 6 tab, 16 ref, 5 equ.

Descriptors:  Adsorption, Aluminum, Montmorillonite, Clays, Soils, Soil chemistry,
Soil  properties.

The exchange of Ca by Al in montmorillonite suspensions adjusted to low pH  (approx-
imately equal to 4) was investigated by measurement of Ca, Al, and pH in  the so-
lution phase before and after the addition of clay-  Adsorption of Al was ac-
companied by a release of protons to solution, indicating that the clay surfaces
promoted hydrolysis of A13+ when only partial  coverage of exchange sites by Al
had occurred.  Calculations showed a two- to nine fold increase in the degree
of hydrolysis at the surface relative to the value for solution.


77:02G-l31
ADSORPTION OF ALUMINUM BY A SMECTITE:  II. AN AL3( + ) (-)CA2( + ) ,
McBride, M.B., and Bloom, P.R.
Cornell University, Department of Agronomy, Ithaca, New York   14853,
Soil  Science Society of America Journal, Vol. 41, No, 6, p 1073-1077, November-
December, 1977.  3 fig, 2 tab, 11 ref, 9 equ.

Descriptors:  Model studies, Aluminum, Montmorillonite, Clays, Soils, Soil
chemistry. Soil properties.

The adsorption of Al by Ca2+-montmorillonite has been found to be  described by
a Langmuir-type equation in which the activity of A13+ in solution is a function
of the coverage of the mineral surfaces by Al,  The classical mass-action
equations were inadequate in describing the exchange reaction where the Ca2+
activity was allowed to vary, weighting the effect of the Ca2+ ion activity on
the equilibrium too heavily.  The model suggests that the relative solution-like
nature of adsorbed Ca2+ compared to the much more strongly adsorbed A13+. Hy-
drolysis and precipitation reactions of A13+ at higher pH complicated the ex-
change model by introducing significant quantities of adsorbed hydroxyl-Al into
the system.


77:02G-132
PHOSPHATE ADSORPTION ON AN OXISOL,
Parfitt, R.L.
Soil  Bureau, Division of Scientific and Industrial Research, Lower Hutt,  New
Zealand.
Soil  Science Society of America Journal, Vol. 41, No.  6, p 1064-1067, November-
December, 1977.  1 fig, 1 tab, 22 ref.

Descriptors:  Adsorption, Phosphates, Soil chemistry, Soil properties.

Adsorption isotherms  f or _phos_phate on the A and B horizon of an oxisol from Papua
New Guinea showed high affinity adsorption at low solution concentrations and  a
linear increase in adsorption at higher solution concentrations,   Adsorption
increased with decrease in pH in the range 3 to 8.  Comparison with data  obtained
under similar conditions with synthetic goethite  (alpha-FeOOH) and gibbsite
(A1(OH}3) suggested that phosphate reacted with FeOH and FeOH2+ groups on soil
iron oxide surfaces to form a binuclear bridging FeOP(.02)OFe complex  and  with
exposed A1(OH)H20 on kaolinite edges and on hydroxy-aluminum species  to  form a
binuclear or bidentate phosphate complex.  At higher phosphate concentrations
isotherms showed continued adsorption which may be due to a  further reaction
involving hydroxy-aluminum groups.
                                         76

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77:02G-133
APPLICATIONS AND MISAPPLICATIONS OF  THE  LANGMUIR EQUATION  TO  SOIL ADSORPTION
PHENOMENA,
Barter, R.D., and Baker, D.E.
New Hampshire University, Institute  of Natural  and  Environmental Resources,
Durham, New Hampshire    03824.
Soil Science Society of  America Journal,  Vol. 41, No.  6, p 1077-1080  November-
December, 1977.  2 fig,  2 tab, 12  ref, 10 equ.

Descriptors:  Adsorption, Soils, Soil investigations,  Soil properties,  Soil
chemistry.

When the development of  the  Langmuir adsorption equation is critically  examined,
it is evident that the equation soil scientists have been  using  (C/x/m  = C/k +
1/kb, where C is concentration of  adsorbate, x/m is the amount adsorbed per unit
weight adsorbent, k is the adsorption maximum,  and  b is a  constant) is  in  the
wrong form.  This error  is of no great importance when the equation is  merely
used to obtain  a calculated  adsorption maximum  for  comparison to other  adsorbent
properties.  However, it does become important  when attempts  are made to under-
stand adsorption dynamics and bonding strengths. The  commonly reported curvi-
linear nature of the C/x/m vs. C plots is simply the result of not considering
the effect of desorbed ions  in the equilibrium  solution, rather than being due
to multiple adsorption mechanisms.  When the equation  is corrected by consider-
ing desorbed ions, the isotherm becomes  linear.  In addition, the constant,
b, of the Langmuir equation  is not simply related to the bonding energy of the
adsorbed  ion, but to the ratio of  adsorbed and  desorbed ion bonding energies.


77:020-134
AMMONIA VOLATILIZATION PROM  SOILS:  EQUILIBRIUM CONSIDERATIONS,
Avnimelech, Y., and Laher, M.
Israel Institute of Technology, Department of Agricultural Engineering, Technion
City.- Haifa, Israel.
Soil Science Society of  America Journal,  Vol.  41, No.  6, p 1080-1084, November**
December, 1977.  2 fig,  1 tab, 9 ref, 18 equ.

Descriptors:  Ammonium,  Soils, Soil  chemistry,  Soil properties, Fertilizers,
Nutrients.

The volatilization of ammonia  from soils as a  function of  the system's  properties
is analyzed theoretically and  experimentally.   The  final concentration  of  am-
monium held by  the soil  increases  with an increase  in  hydrogen ion activity, with
the initial ammonium concentration,  and  with partial pressure of ammonia in the
air.  An  increase in the buffer capacity of the soil  leads to a decrease in the
final ammonium  concentration.  A good agreement has been found between  measured
and computed values for  NH3  and NH4  concentrations  during  the process.  The pH
of the soil is  the dominant  factor controlling  the  extent  of  ammonia volatili-
zation only when the soil's  buffer capacity is  high, or, when the concentration
of ammonium in  the soil  is  low.  At  high pH and high initial  ammonium concen-
trations, the dominant  factor  controlling the  reaction is  the buffer capacity
of the soil.


77:02G-135
ORGANIC PHOSPHATE TRANSPORT  AND HYDROLYSIS IN  SOIL: THEORETICAL AND EXPERIMENTAL
EVALUATION,
Castro, C.L., and Rolston, D.E.
California University, Department  of Land, Air, and Water  Resources, Davis,
California   95616.
Soil Science Society of  America Journal, Vol.  41, No.  6, p 1085-1091, November-
December, 1977.  7 fig,  1 tab, 28  ref, 7 equ.

Descriptors:  Phosphates, Soils, Soil chemistry, Fertilizers, Irrigation,
Irrigation water.
                                         77

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An understanding of the movement, hydrolysis, and retention of organic phosphates
in soils is necessary to evaluate possible advantages of the compounds as ferti-
lizers, based upon their characteristic of increased vertical movement over that
of inorganic phosphates when applied with irrigation water.  Pulses of chloride
and glycerophosphate were applied to 4-, 10-, and 20-cm long Panoche clay loam
soil columns maintained slightly water-unsaturated.   The concentration of gly-
cerophosphate in the pulse applications varied from 386 to 1,110 ppm P.  An
analytical  solution assuming first order kinetics and a reversible, linear iso-
therm for glycerophosphate hydrolysis and sorption,  respectively, was compared
with measured glycerophosphate concentrations in the column effluent.  An analy-
tical solution of the coupled equations for simultaneous transport of organic
phosphate and orthophosphate assuming a linear, reversible isotherm for ortho-
phosphate adsorption is given.


 77:02G-136
 TRAFFIC COMPACTION AND  IRRIGATION,
 Trouse,  A.C.,  Jr.
 United States  Department  of Agriculture, Agricultural Research Service, National
 Tillage Machinery Laboratory, Auburn Alabama.
 Proceedings of the 1977 Annual  Technical Conference, Irrigation  For All Reasons,
 p 50-53,  February 13,  15,  1977.   1 tab.

 Descriptors:   Irrigation,  Irrigation practices,  Irrigation effects, Soils, Soil
 compaction, Soil moisture, Soil water,  Crop  production.

 When traffic compaction is present, no  amount  of  irrigation will guarantee super-
 ior crop yields.  Neither will  well irrigated  fields guarantee top production
 when soils  are only mildly compressed,  a common,  but less organized,  situation
 on many farms  today.   If  moisture is to increase  crop production, it  must be
 both available and readily retrievable  when  needed, by whatever  its method of
 entry into  the soil.


 77:02G-137
 FINITE ELEMENT MODELING OF UNSATURATED  FLOW,
 Bloomsburg, G.L., and  Bloomfield, R.A.
 Idaho University, Department of Agricultural Engineering, Moscow, Idaho,
 Presented at the 1977  Winter Meeting of the  American Society of  Agricultural
 Engineers,  December 13-16, 1977,  Palmer House  Hotel, Chicago, Illinois, p 1-21,
 7 fig,  3  tab,  5 ref.

 Descriptors:   Simulation  analysis, Unsaturated flow, Mining, Infiltration, Rain-
 fall,  Evaporation, Model  studies, Soil  water movement, Soil water.

 This report concerns the  use of a finite element  computer program to  simulate
 unsaturated flow through  retorted oil shale  piles under various  conditions of
 ponding,  infiltration  due to rainfall,  and evaporation.  Field data  from see-
 page ponds  constructed  in waste shale near Rifle, Colorado, are  compared with
 data from computer simulation.


 77:02G-138
 APPLICATION OF AN INFILTROMETER SYSTEM  FOR DESCRIBING  INFILTRATION INTO SOILS,
 Brakensiek, D.L., Rawls,  W.J.,  and Hamon, W.R,
 United States  Department  of Agriculture, Agricultural  Research Service, Boise,
 Idaho.
 Presented at the 1977  Winter Meeting of the  American Society of  Agricultural
 Engineers,  December 13-16, 1977,  Palmer House  Hotel, Chicago, Illinois, p 1-14,
 7 fig,  4  tab,  24 ref,  3 equ.

 Descriptors:   Infiltration, Soil water, Soil water  movement, Model studies,
 Equations.

 The  design  and operation  of an  infiltrometer system is discussed.  The analysis
 of  the  infiltrometer data is illustrated by  estimation of  the parameters in  the
 Green  and Ampt infiltration equation.   The Green and Ampt  equation seems to
model  the observed point  infiltration process  very  well.   Future needs in in-
 filtrometer studies are presented.
                                        78

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77:02G-139
INFILTRATION EQUATION:  DERIVATION TO INCLUDE  SURFACE EFFECTS
Gregory, J.M.,  Johnson, H.P., and Kirkham, D.
Missouri University, Department of Agricultural Engineering, Columbia, Missouri.
Presented at the 1977 Winter Meeting of the American Society of Agricultural
Engineers, December 13-16, 1977, Palmer House  Hotel, Chicago,  Illinois, p 1-31,
4 fig, 2 tab, 15 ref, 76 equ.

Descriptors:  Infiltration, Equations, Model studies, Soil water. Soil water
movement.

An infiltration equation capable of modeling changing surface  conditions has been
derived by use of the energy equation.  This equation has the  surface effects
grouped in one function which can be separated from other variables affecting
infiltration.  When the surface term is set equal  to zero, the equation reduces
to the same  form as the Green-Ampt equation.


77:02G-140
WATER MOVEMENT AND INFILTRATION IN A FROZEN SOIL:  THEORETICAL AND EXPERIMENTAL
CONSIDERATIONS,
Steenhuis, T.S., Bubenzer, G.D., and Walter, M.F.
Cornell University, Department of Agricultural Engineering,  Ithaca, New York
14853.
Presented at the 1977 Winter Meeting of the American Society of Agricultural
Engineers, December 13-16, 1977, Palmer House  Hotel, Chicago,  Illinois, p 1-31.
8  fig,  2  tab, 20 ref,  13 equ. 2 append.

Descriptors:  Soil water,  Soil water movement. Infiltration, Soils, Soil proper-
ties, Temperature, Soil temperature.

Water movement in a frozen soil was compared theoretically and experimentally
with a nonfrozen soil.  During the winter, water movement was  upwards to the
surface.  Infiltration of  water was only  possible  when  the soil temperature was
at freezing  point, but not below, or when the  soil contained macropores.


77:02G-141
CAPILLARY POTENTIAL DISTRIBUTIONS IN ROOT ZONES USING SUBSURFACE  IRRIGATION,
Thomas, A.W., Duke, H.R.,  and Kruse, E.G.
United  States Department of Agriculture,  Watkinsville,  Georgia,
Transactions of the American Society of Agricultural Engineers, Special Edition,
Vol.  20SW, p 62-67, February 20, 1977.  11 fig, 8  ref,

Descriptors:  Infiltration, Root zones, Subsurface irrigation, Corn,  Irrigation
systems,  Soils, Irrigation design, Capillary water.

An experimental study  was  conducted to  study infiltration from buried sources
which represented field irrigation laterals.   Capillary potentials in the root
 zone  of  barley and corn were measured during the  growing season and compared
with  measured and calculated steady-state values.  Design evaluation of sub-
surface  irrigation system  was introduced  and example calculations were presented,


 77:02G-142
THE SOIL  MOISTURE COMPONENT OF MATHEMATICAL CATCHMENT SIMULATION  MODELS,
Manley,  R.E.
Seven-Trent  Water Authority, Birmingham (England),
Journal  of Hydrology,  Vol. 35, No. 3/4, p 341-356, November  1977. 5  fig, 4 tab,
 19 ref.

Descriptors:  *Watersheds  (basins), *Runoff, *Model  s.tudies, Flow, Mathematical
models.  Soil moisture, Infiltration, Permeability, Overland  flow, Precipitation
 (atmospheric), Rainfall, Soil water movement,  Percolation, Evapotranspiration,
Groundwater, Channel  flow, Hydrology.
                                         79

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The role of soil moisture in mathematical catchment simulation models was dis-
cussed, and requirements for this component of the model were suggested.  A
model was described which embodies the suggested characteristics, particular
emphasis being placed on its soil moisture component.   The results from the ap-
plication of this model were presented.


77:02G-l43
NONLINEAR ADSORPTION IN POROUS MEDIA WITH VARIABLE POROSITY,
Lin, S.H.
Melbourne University, Department of Chemical Engineering, Parkville (Australia) .
Journal of Hydrology, Vol. 35, No. 3/4,  p 235-243, November 1977.  6 fig, 17 ref.

Descriptors:  *Porous media, *Adsorption, *Dispersion, *Model studies, *Porosity,
Mathematical models, Solutes, Seepage, Soil water, Soil water movement, Nutrients,
Nutrient removal, Nitrogen, Phosphorus,  Liquid wastes, Path of pollutants, Soil
properties.

A numerical procedure was presented for predicting the solute dispersion and ad-
sorption in heterogeneous porous media.   Several porosity equations with decreasing
or  increasing porosity were proposed to represent the porosity variation and were
used to simulate how the porosity variation affects the solute concentration dis-
tribution.  The solute responses subject to a step change or an exponential change
input  revealed some interesting characteristics.


77:020-144
ALFALFA PRODUCTION ON A PROFILE-MODIFIED SLOWLY PERMEABLE SOIL,
Eck, H.V., Martinez, T., and Wilson, G.C.
United States Department of Agriculture, Southwestern Great Plains Research Center,
Bushland, Texas   79012.
Soil Science Society of America Journal, Vol. 41, No.  6, p 1181-1186, November-
December, 1977.  2 fig, 6 tab, 8 ref.

Descriptors:  Irrigation, Irrigation effects, Alfalfa, Crop production, Crop
response, Soils, Soil investigations.

Yields of irrigated alfalfa are lower on Pullman clay loam than on more permeable
soils  in the same climatic area.  The objectives of this study were to determine
(i)  the residual effect of thoroughly mixing the soil profile on alfalfa growth
and production, and  (ii)  the amounts and timing of irrigations required for max-
imum alfalfa production on modified and unmodified soil profiles.


77:02G-145
POTASSIUM ACCUMULATION AND MOVEMENT IN AN IRRIGATED SOIL TREATED WITH ANIMAL
MANURES,
Pratt, P.P., and Laag, A.E.
California University, Department of Soil and Environmental Science, Riverside,
California.
Soil Science Society of America Journal, Vol. 41, No. 6, p 1130-1132, November-
December, 1977.  3 fig, 3 tab, 9 ref.

Descriptors:  Salinity, Potassium, Irrigation effects, Soils, Soil investigations,
Animal wastes, Soil chemistry.

Data from a 4-year experiment with animal manures are reported.  Soluble and
exchangeable K and K/C1 ratios indicated that K moved into the 90- to 120-cm
depth, but little if any moved below the 120-cm depth,  Potassium/Cl ratios in-
dicated that K moved down in a relatively abrupt front, that the 0- to 30-cm and
30- to 60-cm depths had nearly equilibrated with the K input, but that deeper
layers had not.  Soluble K accumulated in the soil in proportion to the amount of
manure added and reached a maximum of 36.5% of the total soluble cations in the
saturation extract of the surface layer of the plots that received the highest
rate of manure.  The maximum exchangeable K was found in the 30- to 60-cm depth
of the same plots.  The K fixed in the soil appeared to be greater than the re-
duction in CEC.
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77:02G-146
DISTRIBUTION PATTERN OF INORGANIC NITROGEN FOLLOWING ANHYDROUS AMMONIA  INJECTION
INTO A VERTISOL,
Khengre, S.T., and Savant, N.K.
Mahatma Phule Krishi Vidyapeeth Agricultural  University,  Department  of  Agricultural,
Chemical and Soil Science, Rahuri,  India.
Soil Science Society of America Journal, Vol.  41,  No.  6,  p  1139-1141 November-
December, 1977.  3 fig, 1 tab, 20 ref.

Descriptors:  Nitrogen, Ammonia, Soils,  Soil  investigations,  Soil  chemistry, Soil
moisture, Soil water.

Distribution patterns of inorganic  forms of N and  diffusion coefficients of NH4 +
were studied after injection of 800 mg  of anhydrous NH3-N per dish,  each dish
containing 1 kg of soil  (density 1,20 g/cu cm)  maintained at  1/3-bar moisture
percentage and incubated for 120 days.   Bell-shaped distribution patterns of NH4+
and undissociated NH3  (aq) were observed.  Diffusion coefficients  of NH4+ de-
creased with" incubation time.


77:02G-147
NITROGEN FERTILIZATION:  II.  EFFECT ON THE SOIL SOLUTION COMPOSITION,  ACIDITY,
AND NITRATE ADSORPTION.
Lutz, J.A., Jr., Kroontje, W., and  Hahne, H.C.H.
Virginia Polytechnic Institute and  State University, Department of Agronomy,
Blacksburg, Virginia   24061.
Soil Science Society of America Journal, Vol.  41,  No.  3,  p  568-572,  May-June,
1977.   3 tab,  31 ref.

Descriptors:  Nitrogen, Nutrients,  Fertilizers, Fertilization, Nitrates, Ad-
sorption, Soils, Soil  investigations, Clays,  Irrigation,  Irrigation  effects.

Analyses were  performed on soil solution extracts  of samples  obtained from depths
where nitrate  accumulation occurred due to ammonium nitrate applications on
three different soils, for example, Cecil fine sandy loam,  Groseclose silt loam,
and Davidson clay loam.  Comparisons were made between treatments  of moderate
and high N applications in all three  soils and between irrigated and nonirrigated
conditions on  the Cecil and Davidson  soils.


77:02G-148
NUMERICAL EVALUATION OF GRANULE SIZE EFFECT ON DISSOLUTION  RATE OF POTASSIUM
SILICATES AND  POTASSIUM POLYPHOSPHATE IN AQUEOUS SOLUTION,
Miwa, E., and  Kurihara, K.
National Institute of  Agricultural  Sciences,  2-1-7 Nishigahara, Kita-ku, Tokyo,
114 Japan.
Soil Science Society of America Journal, Vol.  41,  No.  3,  p  637-640,  May-June,
1977.   2 fig,  3 tab, 12 ref,  4 equ.
                                                                Soil  properties,
Descriptors:   Potassium,  Kinetics, Soils, Soil investigations,
Soil chemistry,  Soil water. Soil moisture.

The rate of potassium dissolution from spherical granules of K20-4S102,  K20-5Si02,
and (Kp03)n was  measured  in water, NH4C1 and acetic acid solutions.   Experimental
results were analyzed using first order kinetics, involving a rate constant (k)
and the concentration at  saturation (cs).  The kCs values in H20 were 3,65 x 10-2,
1.17 x 10-2,  and 7.08 x 10-3 mg K/mm2 per day for K20-4S102, K20•5SiOs,_and (KP03)n,
respectively.  Extremely  high kCs values were obtained for the dissolution of
(KP03)n in solvents rich  in H+ or NH4+.  Based on these experimental aata and as-
sumed values for Cs, the  whole process of K dissolution from each mineral_at var-
ious granule sizes in aqueous solutions was calculated by the equations  given by
Hixson and Crowell  (1931) .
                                           81

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77:02G-l49
AN ALKALINE OXIDATION METHOD FOR DETERMINATION OF TOTAL PHOSPHORUS IN SOILS,
Dick, W.A., and Tabatabai,  M.A.
Iowa State University, Department of Agronomy, Ames, Iowa   50011.
Soil Science Society of America Journal, Vol. 41, No. 3, p 511-514, May-June,
1977.  7 tab, 13 ref.

Descriptors:  Phosphorus, Soils, Soil investigations, Nutrients, Fertilizers,
Fertilization, Sediments.

A simple and precise method for determination of total phosphorus in soils and
lake sediments is described.  A mixture of soil and sodium hypobromite solution
is boiled to dryness in a sand bath (260-280 C), and the total amount of ortho-
phosphate is extracted with IN H2S04 and determined colorimetrically by the
molybdenum blue method.  Analysis of a group of diverse soil, lake sediment,
and sewage sludge samples indicated that the proposed method and the HC104 di-
gestion method gave essentially the same total P values.  With 10 soils, the
average results by the proposed NaOBr oxidation method were 1% higher than those
obtained by the HC104 digestion method and 4% lower than those obtained by the
Na2C03 fusion method.  A comparison of methods used for colorimetric determina-
tion of the orthophosphate extracted indicated that the results by the recently
developed method by Dick and Tabatabai agree closely with those obtained by the
method of Murphy and Riley.  Digestion of samples with sodium hypobromite solu-
tion and colorimetric determination of the extracted P by the method of Murphy
and Riley permits rapid analysis of a large number of samples at one time.


77:02G-l50
SHORT-TERM REPLENISHMENT OF SOIL SOLUTION PHOSPHORUS,
Peaslee, D.E., and Ballaux, J.C.
Kentucky Agricultural Experiment Station, Lexington, Kentucky  40506,
Soil Science Society of America Journal, Vol. 41, No. 3, p 529-531, May-June,
1977.  1 fig, 1 tab, 13 ref.

Descriptors:  Phosphorus, Nutrients, Fertilization, Fertilizers, Soil properties,
Crop production, Soils, Soil chemistry.

Depletion of soil solution P from zones around plant roots indicates that diffusive
flux of P from the soil solution to the plant root is inadequate to keep pace with
removal by plant roots.   Consequently, the concentration and/or concentration
gradients of solution P maintained under conditions of repeated removal over time
are an important soil property that is a factor in determining the quantity of P
diffusing to root surfaces.  This study was conducted to determine the P release
characteristics of five soils differing in P retention properties and pretreated
with quantities of P equivalent to their sorption maxima.


77:02G-151
OBSERVED AND PREDICTED RATES OF PHOSPHORUS DIFFUSION IN SOILS OF VARYING BULK
DENSITY AND WATER CONTENT,
Hira, G.S., and Singh, N.T.
Punjab Agricultural University,  Department of Soils, Ludhiana, India.
Soil Science Society of America Journal, Vol. 41, No. 3, p 537-540, May-June,
1977.  5 fig, 2 tab, 14 ref, 6 equ.

Descriptors:  Phosphorus, Soils, Soil chemistry, Soil investigations. Soil water,
Soil moisture, Bulk density, Adsorption.

The self-diffusion coefficient of phosphorus  (D) was measured at bulk densities
of 1.25, 1.45, 1.60 and 1.75 g/cm3 and at three levels of soil water content in
Choa sandy loam and Haibowal silty clay loam.  The tortuosity factor was cal-
culated from the self-diffusion coefficient of 36C1.  Appropriate values of the
adsorption isotherm and the tortuosity factor were used to predict P diffusion
coefficient in both soils.   The tortuosity factor increased with increase in
soil bulk density and increase in water content from 7 to 18% in the Choa soil
and 14 to 25% in the Haibowal soil.  As bulk density increased from 1.25 to 1.60
g/cm3, the observed diffusion coefficient values averaged over all water contents,
increased from 0.05 x 10(-10) cm sq/sec in Choa and Haibowal  soils, respectively.
Further increase in bulk density to 1.75 g/cu cm decreased the diffusion coeffi-
cient of P in both soils to a greater extent than at low bulk density.  The phos-
phate ion-soil particle interaction was minimum at a soil bulked density of 1.60
g/cu cm.


                                         82

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77-.02G-152
AMMONIA VOLATILIZATION PROM SURFACE APPLICATIONS  OF AMMONIUM COMPOUNDS  TO CAL-
CAREOUS SOILS:  VI. EFFECTS OF  INITIAL  SOIL WATER CONTENT AND QUANTITY  OF
APPLIED WATER,
Fenn, L.B., and Escarzaga, R.
Texas Agricultural Experiment Station,  Texas A and M Research Center at El Paso
1380 A and M Circle, El Paso, Texas    79927.
Soil Science Society of America Journal,  Vol. 41, No.  2,  p 358-363   March-April
1977.  5 fig, 1 tab, 12 ref.

Descriptors:  Ammonia, Soils, Soil  investigations, Irrigation,  Irrigation effects,
Soil water, Soil moisture, Soil water movement.

Ammonia losses from  (NH4)2S04(AS) and NH4N03(AN)  applied  to the surface of
initially wet and  initially dry soils,  when followed by irrigation,  were generally
greater from the initially wet  soils,  especially  when water application rates were
<2.5 cm.  The greatest NH3 loss occurred  at the lowest water addition and the
least loss at the  highest water addition.  The addition of 20.3 cm  of water to a
Harkey silty clay  loam did not  reduce  NH3 loss below that found with the addition
of  5.1 cm of water.  Ammonium was moved deeper into the soil by water in the
initially wet soil than into the initially dry soil,


77:02G-153
ENVIRONMENTAL IMPLICATIONS OF TRENDS  IN AGRICULTURE AND SILVICULTURE.  VOLUME  1:
TREND IDENTIFICATION AND  EVALUATION,
Unger, S.G.
Development Planning and  Research Associates, Incorporated, Manhattan,  Kansas
66502.
United States Department  of Commerce,  National Technical  Information Service,
PB-274 233, October  1977.  188  p,  37  fig, 32 tab, 55 ref, 1 append.

Descriptors:  Agriculture,  Silviculture,  Environmental effects. Environmental
quality management.

Current and emerging trends  in  United  States agriculture and silviculture that
will have  the most significant  environmental implications in both the short term
 (1985) and the long  term  (2010) are determined and assessed.  Five  major sub-
sectors of agriculture  and  silviculture were included in the analysis:   (1)  non-
irrigated  crop production,  (2)  irrigated  crop production,  (3) feedlot production,
 (4)  range  and pasture management,  (5)  silviculture and harvest management.  Within
each subsector, numerous  trends and developments  were identified and defined by
the Contractor.  Thereafter, an evaluation workshop, comprised of subsector
professionals from throughout  the  nation, evaluated, rated and rank-ordered the
most significant environmentally related  trends.


 77:02G-l54
 SULFURIC ACID AS AN  AMENDMENT  FOR RECLAIMING SOILS HIGH IN BORON,
Prather, R.J.
United States Salinity  Laboratory,  Post Office Box 672, Riverside,  California
 92502.
Soil Science  Society of America Journal,  Vol. 41, No. 6,  p 1098-1101, November-
December,  1977.  1 fig,  3 tab,  29  ref.

Descriptors:  Adsorption, Laboratory studies, Sulfuric acid, Boron,  Leaching,
Soils, Soil profiles, Soil  amendments.

Laboratory results indicated  that  sulfuric acid can effectively aid in  reclaiming
 soils high in boron.  Results  of a  study, using 80-cm columns of a  soil high in
B,  indicated  that  a  surface  application of 3.22 metric tons/ha of concentrated
 (96%) H2S04  followed by  leaching with 3 pore volumes, p.v. of water was nearly
 as  effective  in reducing  the  level  of  water-soluble soil B as was leaching with
 16  p.v. of water.   A direct  pH  effect on  B adsorption affinity can  explain the
enhanced reclamation effect  found at lower soil column depths.  Data suggested
that competition by  silicate  ion for adsorption sites may be contributing to
the enhanced  desorption  of  B  at lower  soil depths.

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77:02G-155
STABILIZATION OF CALCIUM BY SURFACE CHARGE VARIATION IN AN OXISOL,
Munns, D.N., and Fox,  R.L.
California University, Department of Soils and Plant Nutrition, Davis, California
95616.
Soil Science Society of America Journal, Vol.  41,  No. 4, p 682-685, July-August,
1977.  3 fig, 24 ref.

Descriptors:  Calcium, Soils, Soil investigations, Soil chemistry, Soil water,
Soil moisture, Cation exchange, Salts.

In the surface layer of a Ca-deficient,  fine-textured Hawaiian Oxisol, concen-
trations of Ca in solution were poised  against tendencies to increase with liming
in the pH-range 5-6, and to decrease with dilution in the range of water content
0.35 to 2.0.  Effects of lime and water  content on the distribution of Ca between
solid phase and solution were shown to  be quantitatively consistent with effects
of pH and ionic strength on exchange capacity.  Relationships between soil pH,
cation exchange capacity, and dissolved  Ca were determined in soil samples taken
from a field-liming trial.   Effects of  ionic strength on exchange capacity were
determined by summation of adsorbed metal cations  after equilibration of soil
samples in different salt solutions.  Effects  of water content on cations in
solution were determined by analysis of  solutions  centrifugally extracted at var-
ious water contents,


77:02G-156
SHORT COMMUNICATION:  EFFECT OF SOIL MOISTURE  ON THE RELEASE OF ORGANIC CARBON
FROM WHEAT ROOTS,
Martin, J.K.
Commonwealth Scientific and Industrial  Research Organization, Division of Soils,
Glen Osmond, South Australia   5064.
Soil Biology and Biochemistry, Vol. 9,  No. 4,  p 303-304, 1977.  1 tab, 6 ref.

Descriptors:  Soil water, Soil moisture, Carbon, Wheat, Root systems, Crop
response, Organic compounds.

A strong influence of soil moisture on  the release of 14C-labelled organic material
into soil from cereal roots was shown by Barber and Martin (1976) ,  There was a
four-fold reduction of 14C-labelled water-soluble  organic C in soil from pots
regularly leached with distilled water  compared with soil from pots which had no
water addition, other than an initial wetting  of the soil to 16% by weight with
nutrient solution.  Leaching also affected the composition of the water-soluble
material.  It was not possible to determine from these experiments the relation-
ship between the soil water content and  C release  from the roots.  This paper pre-
sents results for the release of organic C from wheat roots grown at three dif-
ferent soil water contents.


77:02G-157
SOIL MICROBIAL AND BIOCHEMICAL CHARACTERISTICS IN  RELATION TO SOIL MANAGEMENT
AND FERTILITY,
Verstraete, W., and Voets,  J.P.
Gent University, Laboratory of General  and Industrial Microbiology, Coupure
533, 9000 Gent, Belgium.
Soils Biology and Biochemistry, Vol. 9,  No. 4, p 253-258, 1977.   5 tab, 18 ref.

Descriptors:  Soil investigations, Fertilization,  Nutrients, Fertilizers, Soil
properties, Soil chemistry, Crop response, Mineralization, Organic matter, Sugar-
beets.

From 1969 to 1974, two experimental fields were studied in terms  of their soil
microbial and biochemical characteristics in relation to soil management practice
and crop yields.  Of the various microbial and biochemical properties measured
soil phosphatase,  saccharase, beta-glucosidase and urease activities, N mineraliza-
tion and soil respiration were found valuable to characterize the  soils.  These
characteristics increased with increasing soil organic matter, clay and CaC03
content.  They also revealed a strong effect of organic fertilization.  Multiple
regression analyses indicated that the alkalinity and the humus  content of the
soil largely determined the magnitude of these characteristics.   The  regression
analyses also showed that the yields of winter wheat were related positively  to
phosphatase activity while the sugarbeet yields x*ere related negatively to soil
urease activity.



                                         84

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77:02G-153
SULFUR OXIDATION AND RESPIRATION IN  54-YEAR-OLD  SOIL  SAMPLES
Bollen, W.B.                                                 '
United States Department of Agriculture Forest Service,  Pacific Northwest Forest
and Range Experiment Station, Forestry Sciences  Laboratory, Corvallis, Oregon

Soil Biology and Biochemistry, Vol.  9, No.  6, p  405-410,  1977.  3 tab, 15 ref.

Descriptors:  Sulfur, Respiration, Sampling, Oxidation,  Soil chemistry, Soil
investigations, Soil properties, Soil tests, Soils.

Soil samples in dry storage for 54 years were shown to retain their ability to
respire and to oxidize S.  Three of  the soils had  lower  S-oxidizing capacity
and three oxidized more S at  1 g kg  -1 than did  the samples when originally
collected.  When the experiment was  repeated with  all apparatus sterilized by
autoclaving and S sterilized  in flowing steam, a greater proportion of the S
was oxidized.  This was not due to heat treatment  of  the S,  In all cases, S
additions and incubation resulted in a lowering  of the soil pH, suggesting
that Thiobacillus thiooxidans was responsible and  had survived the prolonged
storage.  When the soils, before and after  incubation, were added to Thiobacillus
media, only Gram-positive bacteria,  mostly  Bacillus spp., were found.


77:026-159
EFFECT OF NITROGEN DIOXIDE ON NITRITE OXIDATION  AND NITRATE-OXIDIZING POPULA-
TIONS  IN SOIL,
Ghiorse, W.C., and Alexander, M.
Cornell University, Department of Agronomy, Laboratory of Soil Microbiology,
Ithaca, New York  14853.
Soil.Biology and Biochemistry, Vol.  9, No.  5, p  353-355, 1977.  2 fig, 9 ref.

Descriptors:  Nitrogen, Nitrites, Oxidation, Soils, Soil investigations.

When nitrogen dioxide was added to soil at  a rate  equivalent to 51 mu g N g -1
soil,  the nitrite formed was  oxidized logarithmically-   The numbers of nitrite-
oxidizing microorganisms also increased logarithmically, but the final count
was too low to account for the amount of nitrite metabolized.  In soil treated
with N02 at a rate equivalent to 106 mu g N g -1,  the nitrite formed was oxidized,
but the counts of autotrophic nitrite Qxidizers  did not  rise.  Discrepancies
between predicted bacterial numbers  and nitrifying activity were also noted in
soils  amended with nitrite.


77:02G-160
SALINITY AND NITROGEN MINERALIZATION IN SOIL,
Laura, R.D.
Indian Agricultural Research  Institute, Division of Soil Science and Agricultural
Chemistry, New Delhi  110012.
Soil Biology and Biochemistry, Vol.  9, No.  5, p  333-336, 1977.  5 tab, 22 ref.

Descriptors:  Salinity,  Saline  soils, Nitrogen,  Mineralization, Nitrification,
Ammonification, Urea, Salts,  Soil amendments.

The effects of salinity  on ammonification have been reviewed.  It is suggested
that ammonification could be  due to  the protolytic action of water and the in-
fluence of  added salts on ammonification might be  due to their effects on^the
degree of dissociation of water.  The process of nitrification, however, is be-
lieved to be due to autotrophic organisms.  Depending on the amounts applied  to
soil, nitrification has been found to be retarded,  suppressed or inhibited com-
pletely by  salt addition.  This experiment  was made to re-examine the effects of
salinity on ammonification, nitrification and mineral N  accumulation of native
soil N and N added in farm compost,  mustard oil  cake  or  urea.  The experiment
was run over a long period.
                                       85

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77 :02G-161
STUDIES OF NITROGEN IMMOBILIZATION AND MINERALIZATION IN CALCAREOUS SOILS—I.
DISTRIBUTION OF IMMOBILIZED NITROGEN AMONGST SOIL FRACTIONS OF DIFFERENT PARTICLE
SIZE AND DENSITY,
Ladd, J.N., Parsons, J.W., and Amato, M.
Commonwealth Scientific and Industrial Research Organization, Division of Soils,
Glen Osmond, South Australia   5064.
Soil Biology and Biochemistry, Vol. 9, No. 5, p 309-318, 1977.  5 fig, 5 tab,
27 ref.

Descriptors:  Nitrogen, Mineralization, Calcareous soils, Soils, Soil investiga-
tions, Soil texture, Soil density, Glucose, Wheat, Soil amendments, Soil mois-
ture, Soil chemistry.

Studies of the relative availability of nitrogenous components of soils have
mostly been chemically based.  Of the chemically "defined" components, acid-
hydrolyzable amino acid-N appears to contribute most in inorganic-N is judged
by the amounts of N lost from this organic-N pool during periods of net mineral-
ization.  However, measurements of the percentage decrease of N from soil chemical
fractions show that no'component is consistently of greater biological avail-
ability.


77:02G-162
STUDIES OF NITROGEN IMMOBILIZATION AND MINERALIZATION IN CALCAREOUS SOILS—II.
MINERALIZATION OF IMMOBILIZED NITROGEN FROM SOIL FRACTIONS OF DIFFERENT PARTICLE
SIZE AND DENSITY,
Ladd, J.N., Parsons, J.W., and Amato, M.
Commonwealth Scientific and Industrial Research Organization, Division of Soils,
Glen Osmond, South Australia   5064.
Soil Biology and Biochemistry, Vol. 9, No. 5, p 319-325, 1977.  1 fig, 5 tab,
23 ref.

Descriptors:  Nitrogen, Mineralization, Calcareous soils, Soils, Soil investi-
gations,  Soil texture, soil density, Glucose, Wheat, Soil amendments, Soil mois-
ture. Soil chemistry.

15N03(-) was immobilized in a calcareous sandy soil and a calcareous clay soil
each incubated with glucose and wheat straw.  Net mineralization of organic-15N
was more rapid in the sandy soil, irrespective of C amendment, and in soils amended
with glucose.  Intermittent drying and wetting of soils during incubation stimu-
lated mineralization of 15N-labelled and native soil organic-N in all treatments.
The availability  (percentage mineralization) of recently-immobilized 15N consis-
tently exceeded that of the native soil N.  Ratios of the availability of label-
led and unlabelled N were similar in the sandy and clay soils but varied according
to C amendment, drying and wetting cycle and incubation period.


77:02G-163
EFFECT OF BIURET CONTENT ON TRANSFORMATION OF UREA NITROGEN IN SOIL,
Sahrawat, K.L.
Indian Agricultural Research Institute, Division of Agricultural Chemicals,
New Delhi 1100 12, India.
Soil Biology and Biochemistry, Vol. 9, No. 3, p 173-175, 1977.  2 tab, 16 ref.

Descriptors:  Urea, Nitrogen, Nutrients, Fertilizers, Fertilization, Soil chemistry,
Nitrites.

The effect of the biuret content on transformations of urea-N was studied in a
sandy loam  (pH 7.7).  While biuret did not affect urea hydrolysis, it inhibited
the conversion of NH4(+) to N02C-) and the subsequent oxidation of N02(-) to
N03(-).  This resulted in the accumulation of larger amounts of both NH4(+)-N and
N02(-)-N in soil as compared to soil receiving urea alone.  The results suggest
that biuret impurity in urea fertilizer is likely to enhance nitrite toxicity.
                                         86

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77:02G-164
PHOSPHATASES IN SOILS,
Eivazi, F.,  and Tabatabai, M.A.
Iowa State University, Department of Agronomy, Ames,  Iowa    50011.
Soil Biology and Biochemistry, Vol. 9, No.  3, p  167-172, 1977.   4 fig,  4 tab,
26 ref.

Descriptors:  Soils, Soil investigations,  Soil chemistry,  Soil  chemical properties,
Phosphates,  Alkaline soils.

Most studies on phosphatase activity in  soils have  been concerned with  acid
phosphatase.  This study was conducted to  determine the activity of phosphomono-
esterases (acid and alkaline phosphatases),  phosphodiesterase,  and  "phospho-
triesterase".  The results indicate that acid phosphatase  is predominant in acid
soils  and that alkaline phosphatase is predominant  in alkaline  soils.   With
universal buffer, the pH optima  of phosphodiesterase and phosphotrlesterase were
at pH  10.  The activities of these phosphatases  in  soils were much  lower than
those  of the acid and alkaline phosphatases.  Studies on the effects of various
soil treatments on the activity  of phosphatases  in  soils indicated  that air-
drying increased the activity of acid phosphatase and phosphotriesterase, de-
creased the activity of alkaline phosphatase, but did not  affect the activity of
phosphodiesterase.
 77:02G-165
 NITROGEN  ISOTOPE DISCRIMINATION  IN  DENITRIFICATION  OP  NITRATE  IN  SOILS,
 Blackmer, A.M., and Bremner,  J.M.
 Iowa State University, Department of  Agronomy,  Ames, Iowa    50011.
 Soil Biology  and Biochemistry, Vol.  9,  No.  2,  p 73-77,  1977.   2 fig,  4 tab,  21 ref.

 Descriptors:  Nitrogen,  Denitrification,  Nitrates,  Soils,  Soil investigations,
 Soil chemistry, Isotopes,  Soil chemical properties.

 Nitrogen  isotope discrimination  during  denitrification in  soils of  nitrate con-
 taining natural concentrations of 14N and 15N  was  studied  by determining  the
 amount and the 15N content of nitrate-N and (nitrate + nitrite)-N in  nitrate-
 treated soils incubated  under anaerobic conditions  (He atmosphere)  for various
 times after treatment with glucose  to promote  denitrification. Analyses  per-
 formed showed that the nitrate-N lost on incubation of these soils  could  largely
 be  accounted  for as products  of  denitrification.


 77:O2G-166
 FACTORS INFLUENCING THE  LOSS  OF  ORGANIC CARBON FROM WHEAT  ROOTS,
 Martin, J.K.
 Commonwealth  Scientific  and Industrial  Research Organization,  Division of Soils,
 Glen Osmond,  South Australia   5064,
 Soil Biology  and Biochemistry, Vol.  9,  No.  1,  p 1-7, 1977.  6  tab,  18 ref.

 Descriptors:  Carbon, Wheat,  Root systems,  Soils,  Soil investigations, Crop
 response, Soil microorganisms.

 Wheat plants  were grown  in an atmosphere containing 14C02  at temperatures of 10 C
 or  18 C for periods from 3-8  weeks.   The plant roots were  maintained  under sterile
 or  nonsterile conditions in soil contained in  sealed pots  which were  flushed to
 displace  respired 14CO2.   The 14C content of the shoots, roots and  soil was  mea-
 sured at  harvest.  The loss of 14C  from the roots,  expressed either in terms of
 total 14C recovered from the  pots or  14C translocated  to the roots, ranged from
 14.3-22.6%, mean 17.3% or  29.2-44.4%, mean 39.2%,  respectively.


 77:-02G-l 67
 NATURE OF THE ORGANIC COATING ON SAND GRAINS OF NONWETTABLE GOLF  GREENS,
 Miller, R.H., and Wilkinson,  J.F.
 Ohio State University, Agronomy  Department,  Columbus,  Ohio  43210.
 Soil Science  Society of  America  Journal,  Vol.  41, No.  6, p 1203-1204, November-
 December, 1977.  1 fig,  14  ref.
                                        87

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Descriptors:  Sand, Soils,  Soil texture, Soil investigations, Turf, Soil profiles.

The organic coating of nonwettable sand grains from localized dry spots on sand
golf greens was extracted with 5% NaOH.  An infrared spectrum of resin purified,
freeze-dried extract was similar to spectra of soil fulvic acids.  All other sup-
porting data such as solubility, color, failure to precipitate upon acidification,
noncrystalline nature, and a high extinction coefficient were consistent with the
conclusion that the organic coating was fulvic acid.  The relationship of the
synthesis of fulvic acids to basidiomycete hyphae in the affected soil layer is
discussed.


77:02G-168
PHYSICAL PROPERTIES OF FLY ASH-AMENDED SOILS,
Chang, A.C., Lund, L.J., Page, A.L.,  and Warneke, J.E.
California University, Department of Soil Science and Agricultural Engineering,
Riverside, California   92502.
Journal of Environmental Quality, Vol. 6, No. 3, p 267-270, July-September, 1977.
2 fig, 7 tab, 9 ref.

Descriptors:  Fly ash, Soils, Soil investigations. Soil properties, Soil physical
properties, Soil amendments, Soil water, Bulk density, Hydraulic conductivity.

Fly ash from a coal-fired power generating plant was mixed with five California
soils at rates of 0, 2.5, 5.0, 10.0,  25.0, and 50.0% by volume.  The physical
properties related to  the agronomic use of fly ash-amended soils were character-
ized by determining water-holding capacity, bulk density, hydraulic conductivity,
and modulus of rupture on laboratory compacted soil cores.  The moisture release
characteristics of each mixture were also determined.  Results indicated that a
small amount of fly ash added to soils does appear to affect some measured physical
properties of soils.  At application rates >25%, there was ^ consistent increase
in water-holding capacity (except a Domino loam soil), and a decrease in bulk
density and modulus of rupture in all soils tested.  The hydraulic conductivity
increased with small amounts of fly ash, but declined rapidly as fly ash volume
increased.  Although fly ash application increased the water-holding capacity of
soils, the amount of water available to the plant did not change significantly.
At a low application rate, fly ash amendment appeared useful in improving certain
agronomic properties of soils.


77:O2G-169
NITRIFICATION IN THREE SOILS AMENDED WITH ZINC SULFATE,
Wilson, D.O.
Georgia University, Department of Agronomy, Georgia Station, Experiment, Georgia
30212.
Soil Biology and Biochemistry, Vol. 9, No. 4, p 277-280, 1977.  3 fig, 2 tab,
11 ref.

Descriptors:  Soils, Soil investigations, Zinc, Nitrification, Soil properties,
Soil chemistry, Soil chemical properties, Nitrogen.

The introduction of metals into soils by such routes as land application of
sewage sludge and the deposition of airborne particulates from mining operations
can significantly increase the native soil concentration of these metals.  Heavy
metals are commonly present in domestic sewage sludge at rather high concentra-
tions and often at extremely high concentrations in industrial sludges.  Elevation
of the metal content of agricultural soils is of particular concern because of
possible toxic effects on plant growth and other biological processes.  Zinc is
considered one of the metals most likely to produce phytotoxicity as a result of
sludge application to soil  (Webber, 1972).  Since soils exhibit a wide range of
physical and chemical properties, it is difficult to compare and extrapolate re-
sults of various workers with respect to the effects of Zn on soil N mineraliza-
tion processes.  Reported here are the results of a study relating nitrification
to various rates of Zn added to three agriculturally important soils.
                                        83

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77:02G-170
ACETYLENE INHIBITION OF NITROUS OXIDE REDUCTION AND MEASUREMENT  OF DENITRIFICATION
AND NITROGEN FIXATION IN SOIL,
Yoshinari, T., Hynes, R., and Knowles,  R.
Macdonald Campus of McGill University,  Department  of  Microbiology, Ste Anne de
Bellevue, Quebec HOA ICO, Canada.
Soil Biology and Biochemistry, Vol.  9,  No.  3,  p 177-183,  1977.   9 fig, 1  tab,


Descriptors:  Denitrification, Nitrogen, Nutrients, Soil  moisture, Soil chemistry,
Soils, Soil investigations.

Reduction of N20 in moist soil was  inhibited completely by  10 (-2) atin C2H2 and
partially by 10  (-5) atm C2H2 .  The  effect  of  C2H4 was 100,000,000 times  less
than that of C2H2. Denitrification  of N03(-) occurred in  anaerobically or aerobi-
cally incubated waterlogged  soil and in anaerobic  but not in aerobic moist soil.


77:02G-171
NITROGEN FERTILIZATION  I.  NITRATE  ACCUMULATION AND LOSSES  UNDER CONTINUOUS
CORN CROPPING,
Hahne, H.C.H., Kroontje, W.,  and Lutz,  J.A., Jr.
Virginia Polytechnic Institute and  State University,  Department  of Agronomy,
Blacksburg, Virginia    24061.
Soil Science Society of America Journal, Vol.  41,  No. 3,  p  562-567, May-June,
1977.  4 fig, 5  tab, 30 ref.

Descriptors:  Nitrogen, Fertilizers, Fertilization, Nutrients, Corn, Crop response,
Soils, Soil investigations,  Irrigation, Irrigation effects, Soil texture.

Selected treatments were chosen from three  field experiments with corn to deter-
mine effects of  N rates on the vertical distribution  of nitrates in the soil.
The experiments  were located on three different soil  types  and corn was grown
for 5 consecutive years.  Irrigation was a  variable in two  of the experiments,
Appreciable amounts of  N03-N accumulated in the soils when  the optimum rate of
140 kg N/ha at Blacksburg and Charlotte Courthouse and 168  kg N/ha at Orange
had been exceeded.  Amounts  of vertical distributions of  N03-N accumulations
were highly dependent on soil type,  and on  amounts of irrigation and rainfall.
Lowest N03-N accumulations and highest  N03-N losses were  encountered in the Cecil
fsl.  An increase in NO3-N was found in the Davidson  clay loam whereas no loss
or gain was observed in the  Groseclose  silt loam.


77:02G-172
CHARGE CHARACTERISTICS  OF SPODIC HORIZONS,
Laverdiere, M.R., and Weaver, R.M.
New York State College  of Agriculture and Life Sciences,  Cornell University,
Department of Agronomy, Ithaca, New York    14853.
Soil Science Society of America Journal, Vol.  41,  No. 3,  p  505-510, May-June,
1977.  5 fig, 5  tab, 22 ref,  2 equ.

Descriptors:  Soils, Soil investigations, Soil properties,  Organic matter, Ad-
sorption.

Surface charge properties of six Spodosol Bir  horizons, enriched in sesquioxides
and organic matter, were investigated by acid-base potentiometric titrations and
ion adsorption measurements.  The results indicate that the horizons have electro-
chemical properties similar  to constant surface potential colloids as the sign
and magnitude of the net charge were dependent upon the pH  and indifferent electro-
lyte concentration of the ambient solution.  The pH values  at which the net sur-
face charge underwent reversal ranged from  4.2 to  4.9, and  the values obtained
by acid-base potentiometric  titrations  agreed  fairly  well with those obtained by
ion adsorption measurements.
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77:02G-173.
ERODIBILITY OF SELECTED CLAY SUBSOILS IN RELATION TO PHYSICAL AND CHEMICAL
PROPERTIES,
Romkens, M.J.M., Roth, C.B., and Nelson, D.W.
Agricultural Research Service, Sedimentation Laboratory, Oxford, Mississippi.
Soil Science Society of America Journal, Vol. 41, No. 5, p 954-960, September-
October, 1977.  2 fig, 6 tab, 21 ref.

Descriptors:  *Soil erosion, *Subsoil, *Physical properties, *Chemical properties,
*Clays, *Erodibility  (subsoils), Laboratory tests, Regression analysis, Chemical
analysis, Soils, Equations, Soil properties, Soil physics, Chemistry.

Predictions of soil erodibility factors for selected clay subsoils were studied
in relation to physical and chemical properties.  Erodibility factors were deter-
mined from soil erosion rates on scalped surfaces during a series of simulated
rainstorms.  Subsoils were analyzed for their textural, chemical, and mineralogical
composition.  A predictive model, derived from previously gathered data of 46
surface soils, was used to determine the significance of soil properties in pre-
dicting subsoil erodibility.  Weighted linear regression analysis using data from
surface soils of the test model and 7 selected subsoils indicated that a textural
parameter and the percent of iron plus aluminum extractable with citratedithionite-
bicarbonate (CDB) were significant prediction properties of erodibility for these
clay subsoils.  Multiple linear regression yielded a prediction equation with a
coefficient of multiple determination of R sq = 0.90.


77:02G-174
FACTORS  INFLUENCING THE CRUST TEST FOR IN SITU MEASUREMENT OF HYDRAULIC CONDUCTI-
VITY,
Baker,  F.G.
Wisconsin  University, Department of Soil Science, Madison, Wisconsin.
Soil Science  Society  of America Journal, Vol. 41, No. 6, p 1029-1032, November-
December,  1977.  1 fig, 5  tab,  14 ref.

Descriptors:  *Hydraulic conductivity, *Permeability, *0n-site investigations,
Soil water, Soil water movement, Soils, Soil properties, Soil physics, Soil
physical properties,  Testing, Testing procedures, Soil science, Crust tests.

Field  trials  using the crust  test were used to determine the influence of five
parameters on the saturated and unsaturated hydraulic conductivity values measured
on two soils of different structure.  These factors were:  (1)  the diameter, (2)
the height of the soil pedestal used in the test, (3) the degree of soil wetness
at which k was measured, (.4) soil structure, and  (.5) operator effects.  Diameter
and height were found to strongly affect measurement when they had low values.
These two design factors were dependent on the wetness and structure of the soil.
Operator differences were small.


77:02G-175
SOLUTE DISTRIBUTION PROFILES COMPUTED WITH STEADY-STATE AND TRANSIENT WATER
MOVEMENT MODELS,
Wierenga, P.J.
New Mexico State University, Department of Agronomy, University Park, New Mexico.
Soil Science Society of America Journal, Vol. 41, No. 6, p 1050-1055, November-
December, 1977.  8 fig, 23 ref,

Descriptors:  *Hydraulic conductivity, *Solutes,  *Soil water movement, *Model
studies, Mathematical models, Moisture content, Pressure head, Fertilizers,
Pesticides, Salts, Irrigation, Dispersion, Analytical techniques, Soil water,
Soil physics,  Soil science, Miscible displacement, Finite difference analysis.

A comparison was made between two numerical models for simultaneous movement of
water and salts in soil profiles.  In the first model, the water content and flux
were constant during irrigation with time or depth  (steady-state model).  In the
second model,  the water contents and fluxes changed with time and depth following
each infiltration according to the hydraulic properties of the soil  (transient
model).  From a comparison between data obtained  with the two models, it was
shown that both techniques yield comparable results when concentrations are plot-
ted versus cumulative drainage.  Measured effluent concentration distributions
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from columns periodically  irrigated  with labeled water also compared well  with
effluent concentration distributions computed with the steady-state model.


77:02G-176
SALT EFFECTS ON THE HYDRAULIC PROPERTIES OF A SWELLING SOIL,
Dane, J.H.,  and Klute, A.
Colorado State University, Department of Agronomy, Fort Collins, Colorado.
Soil Science Society of America Journal, Vol. 41,  No.  6, p  1043-1049, November-
December, 1977.  10 fig, 1 tab, 24 ref.

Descriptors:  *Soils, *Soil physical properties,  *Hydraulic conductivity,  *Salts,
Hydraulic properties, Electrolytes,  Salinity, Hydraulic gradient, Tensiometers,
Pressure head, Loads  (forces). Water retention,  Swelling soil.


The effects of soil solution composition on the  hydraulic conductivity, K, and
the volumetric soil solution content, theta, were measured with mixed NaCl-CaC12
solutions.  The total electrolyte concentration,.  C, and the sodium  adsorption
ratio, SAR, characterized  the applied solutions.   Steady-state flow cells  were
constructed with provision for  (1) measurement of the  volumetric flux of the
solution phase during saturated and  unsaturated  flow conditions, (2) measurement
of the volumetric soil solution content  by gamma attenuation,  (.3) tensiometers
for hydraulic gradient and pressure  head, h, measurement,  (.4) application  of an
external load on the  soil, and  (5) measurement of bulk volume changes.  Soil sam-
ples were subjected to sequences of  solutions varying  in C  from 1,000 meq/liter
to 10 meq/liter at constant SAR values of 0,  5,  15, 25, and 40, respectively.
Hydraulic conductivity decreases occurred during the first  sequence of decreasing
C at fixed SAT values equal to or greater than 5,  The higher the SAR value, the
greater the decrease  in  K  with decreasing C.  The K decreases occurred at  all
volumetric soil solution contents within the  range of  experimental  data.   Increases
in theta, atgiven h values, and decreases in bulk density  (pb), occurred simul-
taneously with the decrease in K.  Greater changes in  K and theta,  and smaller
changes in pb occurred in  the soil subjected  to  a higher external load.  The K
and pb decreases and  the theta increases were to a great extent irreversible,  for
example, when C was increased subsequently at a  fixed  SAR value, K,  pb, and theta
did not regain their  initial values.  Substantial increases in K were obtained,
however,  if the soil  was air dried,  sieved, and  repacked into the flow cell.
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                                  SECTION VII


                                  WATER CYCLE

                          WATER AND  PLANTS  (GROUP 02I)


77:021-001
EFFECT OF WATER STRESS DURING DIFFERENT STAGES OF GROWTH OF SOYBEAN,
Sionit, N.,  and Kramer, P.J.
Pahlavi University, Chiraz (Iran).
Agronomy Journal, Vol. 69, p  274-278,  March-April,  1977.  5 fig,  1 tab, 15 ref.

Descriptors:  *Moisture stress, *Plant growth, *Crop response,  *Soybean, Water
requirements, Drought, Flowering,  Germination, Photoperiodism,  Seeds,  Crop
production.

Two varieties of soybean  (Glycine  max, L, Merr.;  "Ransom" and "Bragg")  were studied
to determine the effects on yield  of controlled water stress at various stages
of development.  The plants were grown in a controlled environment chamber at
28/17 C with a 8 9-hour photoperiod  at 450  hlx and an interrupted dark period
which was then suspended for  7 days  to induce flowering.  Water stress was applied
to plant groups during flower induction, flowering, pod formation and pod filling.
Leaf water during stress dropped as  low as  -23 bars but returned to approximately
normal after rewatering.  Leaves were more  susceptible to drought at later stages
of growth, probably because they were already approaching senescence.   Plants
stressed during flower induction and flowering produced fewer flowers, pods
and seeds than controls because of a shortened flowering period and abortion of
some flowers.  The greatest reduction of pods and seeds at harvest was due to
stress during early pod formation,  but the  yield as measured by seed weight was
most affected by stress during early formation and pod filling.  Stress did not
affect the oil or protein content of seeds, although total oil and protein pro-
duced per plant were less because of lower  seed yields.


77:021-002
SOIL WATER-ROOT RELATIONS IN  WHEAT:   WATER  EXTRACTION RATE OF WHEAT ROOTS THAT
DEVELOPED UNDER DRY AND MOIST CONDITIONS,
Sharma, R.B., and Ghildyal, B.P.
Leeds University, Department  of Plant Sciences,  (England).
Agronomy Journal, Vol. 69, p  231-233, March-April, 1977.  2 fig, 2 tab, 8 ref.

Descriptors:  *Soil water, *Soil-water-plant relationships, *Root systems, *Ab-
sorption, *Wheat, Dry farming, Soil  moisture, Soil water movement, Clay loam,
Root development, Root zone,  Plant morphology, Consumptive use.

A greenhouse experiment was conducted in Pantnagar, India, to determine whether
the root systems of wheat grown under different soil water conditions differed
in capacity to extract water  from the soil.  The water extraction rate per unit
root volume was measured  for  two wheat  (Treticum aestivum L.) genotypes grown
for 60 days after sowing  in pots maintained under three soil water tension re-
gimes of 0.3-0.8, 2.0-2.5, and 4.0-4.5 bars.  Under study were the one-gene
dwarf Snalika RR-21 and three-gene drawf UP 301; the soil was silty clay  loam
of the Mollisol order.  Sixty days after sowing, the transpirational losses
under different soil water tension regimes  were measured for 12 days by cover-
ing the pots with polyethylene sheet and weighing.  Root volume and total root
water extracted decreased significantly for both genotypes.  Results suggest
that root systems which develop under relatively dry soil conditions extract
more soil water on a unit root volume basis than those  in moist conditions.
Findings also indicate that roots under dry conditions develop a more  intricate
morphology and exploit the soil water more completely.
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77:021-003
SIMULATION OF NITROGEN MOVEMENT, TRANSFORMATIONS, AND PLANT UPTAKE IN THE ROOT
ZONE,
Davidson, J.M., Rao, P.S.C., and Selim, H.M,
Florida University, Department of Soil Science, Gainesville, Florida.
Proceedings of National Conference on Irrigation Return Flow Quality'Management,
Colorado State University, Fort Collins, Colorado,  p 9-18, May  16-19, 1977.
7 fig, 1 tab, 28 ref, 13 equ.

Descriptors:  Simulation analysis, Model studies, Nitrogen, Soil water, Soil
water management, Irrigation, Nitrification,  Denitrification, Mineralization.

Two simulation models, a detailed research-type and a conceptual management-
type, for describing the fate of nitrogen  in  the plant root zone are discussed.
Processes considered in both models were:   one-dimensional transport of water
and water-soluble N-species as a result of irrigation/rainfall  events, micro-
biological N-transformations, and uptake of water and nitrogen  species by a
growing  crop_.  The  research-type model involves a finite-difference approxima-
tions  (explicit-implicit) of the partial differential equations describing one-
dimensional water flow and convective-dispersive NH4 and N03 transport, along
with simultaneous plant uptake and microbiological  N-transformations,  Ion-
exchange (.adsorption-desorption) of NH4 was also considered.  The microbiological
transformations incorporated into the model describe nitrification, denitrifi-
cation,  mineralization and immobilization. All transformation  processes were
assumed  to be first order kinetic processes.   The numerical solution was flexible
in its soil surface boundary conditions, as well as initial conditions for soil
water content and nitrogen concentration distributions in the soil profile.  The
solution can also be used for nonhomogeneous  or multilayered soil systems.  The
research-type model involves a detailed description of the individual process
and  requires a large number of input parameters, most of which  are frequently
unavailable.  Because of this a more simple management-type model was developed.
Several  simplifying assumptions were introduced into the management model.  This
model requires a minimal amount of input data by the user, and  provides a gross
description of the  behavior of various nitrogen species in the  plant root zone.


77:021-004
LOCAL SOLUTIONS TO  DRAINAGE PROBLEMS,
Johnstone, W.R.
Westlands Water District, Fresno, California.
Proceedings of National Conference on  Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado,  p  293-295, May 16-19, 1977.

Descriptors:   Saline water, Salinity,  Return  flow,  Drainage water,

Throughout the San  Joaquin Valley the  installation  of on-farm tile systems can
 intercept and  collect  saline  subsurface drainage water and thereby reduce or
eliminate the  damage from high water tables.   Five  subareas in  the San Joaquin
and  Tulare Lake Basins of the San Joaquin  and Tulare Lake Basins of  the San
Joaquin  Valley have individually developed local solutions for  disposing of
 saline  subsurface drainage water collected within  the subareas,


 77:021-005
 RESPONSE OF LEAF WATER POTENTIAL TO  PRESSURE  CHANGES AT THE ROOT SURFACE OF
CORN PLANTS,
Nulsen,  R.A.,  Thurtell, G.W., and Stevenson,  K.R.
 Guelph  University,  Department of Land  Resource Science, Ontario, Canada, NIG  2WI.
Agronomy Journal, Vol.  69, No.  6, p  951-954,  November-December, 1977.   4 fig,
 15  ref.

Descriptors:   Roots, Root systems, Corn,  Soil water,  Soil moisture,  Transpiration,
Crop response.

The  nature of  the hydraulic continuum  between the  roots and leaves of  intact
plants  requires  further study to improve  our  understanding of the effect of _
pressure changes.   A large pressure  chamber was designed  to apply hydrostatic
pressure to  the roots  of  intact corn plants.   The  chamber permitted  application
of  up  to 6 bars pressure  and  allowed for  in situ watering of  the plants.  Changes
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in leaf water potential resulting from changes in pressure applied to the roots
were monitored in situ using a thermocouple dewpoint hygrometer.  Responses of
leaf water potential were consistently between 0.94 and 1.19 times the change
in applied pressure, regardless of whether the pressure was being increased or
decreased.  When pressure was applied to very turgid plants, leaf water potential
increased until it reached a value equal to the osmotic pressure of expressed
xylem sap.  Some time after this value was reached water droplets appeared on
the leaf surface.  The experiments showed that the hydraulic system within in-
tact plants acts as a true continuum in that pressure changes at one end of the
system are faithfully manifested at the other end of the system.  If such
changes are not observed some additional mechanism must be operating.


77:021-006
CROP SALT TOLERANCE	CURRENT ASSESSMENT,
Maas, E.V., and Hoffman, G.J.
United States Department of Agriculture, Agricultural Research Service, United
States Salinity Laboratory, Riverside, California.
Journal of the Irrigation and Drainage Division, American Society of Civil Engi-
neers, Vol. 103, No. IR2, p 115-134, June 1977.  1 fig, 1 tab, 160 ref.

Descriptors:  Salts, Salt tolerance, Agriculture, Crop response, Salinity, Saline
soils, Saline water.

An extensive literature review of all available salt tolerance data was undertaken
to evaluate the current status of our knowledge of the salt tolerance of agri-
cultural crops.  In general, crops tolerate salinity up to a threshold level above
which yields decrease approximately linearly as salt concentrations increase.  Our
best estimate of the threshold salinity level and yield decrease per unit salinity
increase is presented for a large number of agricultural crops.  The methods of
measuring appropriate salinity and plant parameters to obtain meaningful salt
tolerance data and the many plant, soil, water, and environmental factors influ-
encing the plant's ability to tolerate salt are examined,


77:021-007
ROLE OF CHANGES IN SOLUTE CONCENTRATION IN MAINTAINING FAVORABLE WATER BALANCE
IN FIELD-GROWN COTTON,
Cutler, J.M., Rains, D.W., and Loomis, R.S.
California University, Department of Agronomy and Range Science, Davis, California.
Agronomy Journal, Vol. 69, No. 5, p 773-779, September-October, 1977.  5 fig,
49 ref.

Descriptors:  Cotton, Crop response, Soil water, Soil moisture,. Irrigation, Ir-
rigation effects, Crop production, Agriculture,

Cotton shows various adaptive responses to water deficits, including alterations
in cellular osmotic concentrations.  The role of changes in solute concentration
in maintaining favorable water balance in field-grown cotton was evaluated under
wet and dry irrigation treatments.  The experiments were conducted with a fine
loamy mixed, calcareous thermic-Typic Torriorthents soil in a semi-arid environ-
ment.  Leaf diffusive resistance, measured by a resistance porometer, was unaf-
fected by leaf water potential while the typical response to light was maintained.
Leaf blade elongation rate was less in plants with low leaf water potential.  The
rate was maximal in the early evening and depressed during the midday water poten-
tial minimum and at night.  Some blade enlargement occurred during time intervals
when leaf water potentials were as low as -19 to -23 bars,


77:021-008
TRANSPIRATION EFFECTS ON LEACHING FRACTIONS,
Meiri, A., Kamburov, J., and Shalhevet, J.
The Volcani Center, Agricultural Research Organization, Bet Dagan, Israel,
Agronomy Journal, Vol. 69, No. 5, p 779-782, September-October, 1977,  2 fig,
2 tab, 9 ref.

Descriptors:  Leaching, Infiltration, Soil water, Soil moisture, Soil water
movement,  Saline water, Irrigation water, Salinity, Salts, Seepage,

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Water uptake by plants during the processes  of  infiltration  and  redistribution
may introduce considerable errors in actual  leaching when  calculations  are
based on pre-irrigation soil water deficit.   The  objective of  the  study reported
here was to measure and demonstrate the  importance  of  this water uptake in
causing a reduction in the actual leaching.


77:021-009
ESTIMATING LEAF WATER POTENTIAL  IN SAFPLOWER,
Sepaskhah, A.R.
Pahlavi University, College of Agriculture,  Department of  Irrigation, Shiraz, Iran.
Agronomy Journal, Vol. 69, No. 5, p 894-896,  September-October,  1977.   1 fiq
14 ref.

Descriptors:  Crop production, Greenhouses,  Laboratory tests,  Laboratory equip-
ment, Leaves.

The pressure chamber technique is used for rapid  measurements  of plant  water
potential.  Comparison of this method with thermocouple psychrometer  technique
is required at various stages of growth  for  different  crops.   Xylem water po-
tential estimated by pressure chamber and leaf  water potential measured by
thermocouple psychrometer were correlated for safflower leaves at  vegetative
and flowering stages of growth in greenhouse conditions,   The  results of the
two methods were linearly related for both growth stages but the equations were
different at the 1% level.  The  values of ordinate  intercept were  nearly equiva-
lent to the xylem sap osmotic potentials at  both  stages of growth.


77:021-010
RESPONSE OF OATS TO WATER DEFICIT. I.  PHYSIOLOGICAL CHARACTERISTICS,
Sandhu, B.S., and Horton, M.L.
South Dakota State University, Department of Plant  Science,  Brookings,  South
Dakota.
Agronomy Journal, Vol. 69, No. 3, p 357-360,  May-June, 1977.   6  fig,  21 ref.

Descriptors:  *0ats, *Moisture stress, *Moisture  deficit,  *Plant physiology,
*Crop response, Growth stages, Stomata,  Soil-water-plant relationships, Photo-
synthesis,  Irrigation practices, Plant growth,  Planting management, Leaves.

A study was conducted to determine the effects  of water stress on  certain physio-
logical processes of spring oats (Avena  sativa  L.)  under field conditions.  Plants
were subjected to water deficits for  9 to 11 days at the boot  stage,  at anthesis
through early grain formation stage and  at both stages in  combination.   Relative
leaf water  content  (RLWC) according to the relative turgidity  method  was used as
a measure of water deficit, and  a diffusion  porometer  was  used to  monitor lead
diffusion resistance  (LDR). An 80% decline in the net  photosynthetic  rate (NPR),
as measured using an infrared gas analyzer,  resulted from  severe water  stress at
all  stages.  A decline in RLWC was followed  by  LDR  increases,  due  to  siomatal
closure induced by water deficits.  Both LDR and  RLWC  recovered  in 1  to 6 days
after rewatering.  Stress during the  boot stage reduced photosynthetic  sensiti-
vity to subsequent stress at the anthesis through early grain  formation stage,
with NPR recovering more gradually and incompletely after  that.  Plants stressed
only during the boot stage, then adequately  watered, had higher  NPR than controls.
Since the LDR and NPR of oats have acute sensitivity to plant  water deficits,
these parameters may help determine permissible water  deficit  limits  and irriga-
tion scheduling.


77:021-011
RESPONSE OF OATS TO WATER DEFICIT.  II.  GROWTH AND YIELD  CHARACTERISTICS,
Sandhu, B.S., and Horton, M.L.
South Dakota State University, Department of Plant  Science,  Brookings,  South Dakota.
Agronomy Journal, Vol. 69, No. 3, p 361-364, May-June, 1977.   5  tab,  19 ref.

Descriptors:  *Crop response, *0ats,  *Moisture  deficit, *Plant growth,  *Crop
production, Moisture stress, Plant physiology.  Growth  stages,  Root development,
Root distribution, On-site investigations, Height,  Planting  management, Soil-
water-plant relationships, Stomata.
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Spring oats (Avena sativa L.)  were subjected to water stress for 9 to 11 days
under field conditions to evaluate growth and yield response to water deficits
at certain stages.  Plants were grown on pachic udic haploborolls soil  (Lismore
silty clay loam)  in large pots (120-litre garbage cans)  buried in the center of
a field.  Water stress applied at the boot stage and/or the anthesis through
early grain formation stage decreased plant height and number of florets per
panicle.  Stress at anthesis through early grain formation caused more  floret
sterility and fewer heads at maturity.  Deficits at all stages decreased the
yield of straw, tops without panicles, panicles, kernels and dehulled kernels.
Kernel yield was depressed 20% and 58%, respectively, with stress at booting
and anthesis through grain filling; combined stress caused 67% yield decline.
Plants under soil water stress rooted to a greater depth and had accelerated
growth and profuse tillering when rewatered.  Management under both dryland
and irrigated conditions should emphasize irrigation during the anthesis through
early grain formation stage, when water stress is especially dangerous,


77:021-012
PREDICTION OF LATE SEASON NITRATE-NITROGEN CONTENT OF SUGARBEET PETIOLES,
Giles, J.F., Ludwick, A.E., and Reuss, J.O.
South Dakota State University, James Valley Research and Extension Center,
Redfield, South Dakota   57469.
Agronomy Journal, Vol. 69, No. 1, p 85-88, January-February, 1977,  6 fig, 1
tab, 8 ref.

Descriptors:  Nitrates, Nitrogen, Sugarbeets, Nutrients, Fertilizers, Fertili-
zation, Colorado.

Nitrate nitrogen levels in sugarbeet petioles have been used as an aid  to diag-
nose nutritional status of the plants.  The purpose of this study was to evalu-
ate a theoretical approach to the prediction of the rate of, change in N03(-)N
concentration of sugarbeet petioles.  Petiole samples were collected from
sugarbeet N fertilizer trails conducted over a 2-year period on cooperator
farm sites in central and eastern Colorado.  Results showed the NO3(-)N concen-
tration of sugarbeet petioles through the growing season decreased exponentially.
The rate of change was a function of soil NO3(-)N content  (0-120 cm depth)
measured in the spring and the amount of N applied as preplant fertilizer.  Cal-
culation of the rate of change with this function and the measurement of one
early petiole sample enables the prediction of the NO3(-)N concentration during
the remainder of the growing season.


77:021-013
INTERACTIONS OF LEAD AND CADMIUM ON METAL UPTAKE AND GROWTH OF CORN PLANTS,
Miller, J.E., Hassett, J.J., and Koeppe, D.E.
Argonne National Laboratory, Argonne, Illinois.
Journal of Environmental Quality, Vol. 6, No. 1, p 18-20, January-March, 1977.
4 tab, 21'ref.

Descriptors:  Lead, Cadmium, Heavy metals, Crop response, Corn, Crop production,
Greenhouses.

Short term plant accumulation and growth effects of Pb and Cd added to  soil
separately and in combination were investigated with corn grown in a loamy
sand under greenhouse conditions.  A tendency for soil Pb to increase both the
plant Cd concentration and the total Cd uptake of the corn shoots was observed.
Conversely, soil Cd reduced the total Pb uptake and in some cases the Pb con-
centration in the corn shoots.  Both Pb  (125 and 250 mu g/g soil) and Cd  (2.5
and 5 mu g/g soil) reduced the vegetative growth of the corn shoots, and a posi-
tive interaction of the two metals on growth was noted.


77:021-014
WATER UPTAKE BY PLANTS:  I.  DIVIDED ROOT EXPERIMENT,
Herkelrath, W.N., Miller, E.E., and Gardner, W.R,
United States Geological Survey, Water Resources Division, 345 Middlefield Road,
Menlo Park, California   94025,
Soil Science Society of America Journal, Vol. 41, No, 6,, p 1033-1038, November-
December, 1977.  13 fig, 22 ref, 5 equ.
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Descriptors:  Soil water, Soil moisture,  Root  systems,  Root  zone, Root development,
Crop production.

The influence of soil water content and  soil water  potential upon root water up-
take was investigated in a controlled  laboratory  environment.  Water extraction
rates by roots of winter wheat were measured in situ  in a  soil column instru-
mented with a gamma-ray attenuation water-content meter, tensiometers, and psychro-
meters.  In addition, the leaf water potential was  measured with an in situ leaf
hygrometer.  In order to measure  the vertical  distribution of water uptake, the
column was divided into five  sections  by wax layers which  were penetrated by roots,
but which prevented movement  of water  between  sections  in  the soil.


77:021-015
WATER UPTAKE BY PLANTS:  II.  THE ROOT CONTACT MODEL,
Herkelrath, W.N., Miller, E.E,, and Gardner, W.R.
United States Geological Survey,  Water Resources  Division, 345 Middlefield Road,
Menlo Park, California   94025.
Soil Science Society of America Journal,  Vol.  41, No.  6, p 1039-1042, November-
December, 1977.  7 fig, 1 tab, 6  ref.

Descriptors:  Model studies,  Root development, Root systems, Soil water. Soil
moisture, Simulation analysis.

In  the standard analysis of root  water uptake, it is  assumed there is a constant
root membrane resistance in series with  a soil resistance  which is dependent upon
the soil moisture diffusivity-  The relation of root  extraction rate to soil water
content and to  soil water potential predicted  by  this  standard model was compared
to  the results of divided root experiments.  The  extraction  rates predicted by
the theory were as much as eight  times larger  than  the  measured values.  A reason-
able fit between theory and experiment could only be  obtained by assuming in the
theoretical calculations that the rooting density was  100  times smaller than that
measured in the experiments,


77:021-016
IRRIGATION APPLICATION DEPTHS FOR OPTIMUM CROP PRODUCTION,
DeBoer, D.W., Brosz, D.D., and Wiersma,  J.L.
South  Dakota State University, Department of Agricultural  Engineering, Brookings,
South  Dakota.
Transactions of the American  Society of  Agricultural  Engineers, Special Edition,
Vol. 20SW, p 1067-1069, December  20, 1977,  4  fig,  4  tab.

Descriptors:  Sprinkler irrigation, Soil moisture,  Corn, Crop production, Grains
 (crops), Application methods, Water utilization,  Surface irrigation, Irrigation
water, Evapotranspiration, South  Dakota, Tensiometers,

Corn was irrigated using three  (2.5 cm,  5.0  cm and  7.5  cm) net irrigation depths
to  determine the effect of application depth on grain yield, water utilization
efficiency and  soil water movement.  Grain yields and water  utilization efficiencies
were not affected by the application depths.   The average  rate of water removal
from a 90 cm soil profile during  July  and August  was  0,54  cm/day,


77:021-017
WATER  RELATIONS OF COTTON.  II.   CONTINUOUS  ESTIMATES OF PLANT WATER POTENTIAL
FROM STEM DIAMETER MEASUREMENTS,
Buck,  M.G., and Klepper, B.
United States Department of Agriculture, Aaricultural Research service, Southern
Region,
Agronomy Journal, Vol. 69, No, 4, p  593-597, July-August,  1977.  3 fig, 19 ref,

Descriptors:  Cotton, Sampling, Crop response, Plant  growth, Plant physiology,
Plant  population.

Information about plant water potential  is often  required  at very  frequent inter-
vals in studies with small numbers of  plants.  Two  methods for inferring plant
water  potential continuously  and  nondestructively are described  for cotton plants,
Both methods require continuous monitoring of  stem  diameter  and  occasional de-
structive sampling of tissue  for  determination of water potential  by  conventional
methods.  The computed results are compared  with  experimental measurements of
plant  water potential.


                                          97

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77:021-018                                                                      ,
COMPARATIVE STUDIES OF SOME INLAND SALINE AQUATIC ECOSYSTEMS IN NORTH DAKOTA,
Wall, M.K.
North Dakota University, Department of Biology, Project Reclamation, Grand Forks,
North Dakota.
North Dakota Water Resources Research Institute, Research Project Technical Com-
pletion Report, Part 1, Report Number WI-221-033-76, Project Number A-031-NDAK,
July 1970- June 1974, p. 1-58.  19 fig, 15 tab, 61 ref, 1 append.

Descriptors:  North Dakota, Ecosystems, Saline water, Dissolved oxygen, Sediment-
water interfaces, Saturation, Sediments, Sampling, Trace elements, Biomass,
Temperature, Sago pondweed.

Potamogeton pectinatus L.  is a very important wildlife food species, a submerged,
marl forming macrophyte and grows as a natural monospecies community in Fox Lake,
North Dakota.  The water, sediment, dissolved oxygen, temperature and productivity
relationships were studied in this small, shallow lake.  The characteristics of
aerobic and anaerobic sediments in Fox Lake and the North Dakota transect are dis-
cussed in terms of their effects on the nutrient concentrations.  Chelation of
cations by dissolved organic materials in the water and absorbed on the marl was
found to be a possibility, especially for trace elements.  Carbonate (marl) forma-
tion and bicarbonate utilization were found to be of major importance in the main-
tenance and productivity of the monotypic P. pectinatus community in Fox Lake.


77:021-019
EFFECT OF REDOX POTENTIAL AND PH ON THE UPTAKE OF CADMIUM AND LEAD BY RICE PLANTS,
Reddy, C.N., and Patrick, W.H., Jr.
Louisiana State University, Department of Agronomy, Baton Rouge, Louisiana  70803.
Journal of Environmental Quality.- Vol. 6, No. 3, p 259-262, July-September, 1977.
8 fig, 2 tab, 21 ref.

Descriptors:  Cadmium, Lead, Rice, Heavy metals, Sediments, Saturated soils.

Redox potential and pH are two of the major factors influencing the mobilization
and  immobilization of heavy metals in flooded soils and sediments, and their
availability to plants.  A system developed for growing plants in soil suspensions
where redox potential and pH can be controlled was used to study the uptake of
cadmium  (Cd) and lead  (Pb) by rice plants.  Uptake of Cd and Pb by root and shoot
tissue, and their translocation from root to shoot, was determined at six dif-
ferent redox potentials  (-200, -100, 0, +100, +200, and +400 mV) and four pH
values (5, 6, 7, and 8).  The effects of redox potential and pH on the levels of
water-soluble Cd and Pb in the soil suspensions were also studied.  Almost all
Cd entering the rice plants accumulated in the shoots.  Total Cd uptake and shoot
uptake increased with an increase in suspension redox potential and a decrease in
pH.  Water-soluble Cd in the soil suspension was significantly correlated with
total plant Cd and Cd uptake by shoot.  Total Pb uptake, including Pb associated
with the roots, decreased with an increase in suspension redox potential and pH,

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                                   SECTION VIII


                                    WATER CYCLE

                       EROSION AND SEDIMENTATION  (GROUP 02J)


77:02J-001
USE OF A VERSATILE EXPERIMENTAL SYSTEM FOR SOIL EROSION STUDIES,
Walker, P.H., Hutka, J,, Moss, A.J,, and Kinnell, P.I.A.
Commonwealth Scientific and Industrial Research Organization, Division of Soils,
Canberra (Australia).
Soil Science Society of America Journal, Vol.  41, No. 3, p  610-612, May-June,
1977.  3 fig, 10 ref.

Descriptors:  *Soil erosion, *Simulated rainfall, *Laboratory tests, Sheet erosion,
Erosion, Erosion rates, Raindrops, Slopes, Streams, Runoff, Sediment transport,
Bed load. Discharge (sediments), Rainfall, Rainfall simulators,  Impact  (rainfall),
Soil science.

A laboratory facility for the study of soil erosion was described.  Rainfall from
a modular system supplied raindrops at near terminal velocity to prepared soil beds
set in a flume with slope adjustable up to 30%.  A comparison was made of erosion
under overland flow alone and of storm rains of the same intensity  (discharge),
but of different energy levels.  Raindrop impact in runoff  flow was a powerful
agency in promoting, soil transport and inhibiting rill formation.  Bed load move-
ment was important in the transport of sand grains, even where the runoff was dis-
turbed by raindrops.


77:02J-002
BED LOAD SAMPLER FOR STREAMS WITH SANDY BED,
Racotch, A., and Sagi, R.
Technion-Israel Institute of Tech., Faculty of  Agricultural  Engineering, Haifa  (Israel)
Journal of the Hydraulic Division, American Society of Civil Engineers, Vol. 103,
No. HY8, p 923-928, August 1977.  3 fig, 9 ref, 1 append.

Descriptors:  *Bed load samplers, *Sampling, *Equipment, *Sediment transport, Bed
load, Beds, Streams, Streamflow, Sands, Sediments, Sedimentation, Sedimentology.

Technical and operational considerations led to the idea of using a simple pit
sampler in combination with a weighting instrument as a possible and inexpensive
arrangement for bed load measuring purposes.   In order to avoid  large construction
and collecting containers, it was decided to design the opening/instrument combi-
nation for particles having nominal  (diameter  of spheres that equal the number
of particles considered and their total volume) diameters less than 3 mm, making
the unit suitable for  streams with sandy beds.  The proposed instrument was de-
scribed.  The sensing  element is built in the  form of a bucket, subdivided into
two compartments and pivoted over a knife edge.  The bucket tips whenever one of
the compartments f,ills up to a preset quantity of material.  The material is tip-
ped into the collecting container and the empty compartment is simultaneously
exposed to the material entering the opening.  The design of the shape and the
dimensions of the bucket were based on an analytical investigation of a mathemati-
cal model.   The analysis permitted determination of the parameters of the bucket
and the position of the pivot.  Emphasis was placed on automatic performance of
the whole system in the sense that no person has to assist  the measuring unit at
the time of operation.


77:02J-003
INCIPIENT TRANSPORT OF FINE GRAINS AND FLAKES  BY FLUIDS-EXTENDED SHIELDS DIAGRAM,
Mantz, P.A.
Imperial College of Science and Technology, Department of Civil  Engineering,
London  (England).
Journal of the Hydraulics Division,  American  Society of Civil Engineers, Vol.  103,
No. HY6, Proceedings Paper 12992, p 601-615, June 1977.  4  fig,  3 tab, 30 ref,  2
append.                                     nn

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Descriptors:  *Bed load, *Hydraulics, *Sedimentation,  *Shear stress, *Cohesionless
soils, Streamflow, Silts, Laboratory tests, Sediments, Data collections.

Experiments on the incipient transport from flat sediment beds in water streams of
four grades of fine cohesionless granular solids and six grades of fine cohesionless
flaky solids were reported.  The fine granular data were compared with data obtained
from recent smaller-scale laboratory experiments, and all data were plotted on a
Shields diagram.  An "extended Shields diagram," which is applicable to cohesionless
solids only, was proposed.  The fine flaky data were compared with collected data
concerned with the incipient transport of coarse two-dimensional solids or flakes.
The data again were adapted to the Shields representation.  The incipient transport
fluid conditions for granular and flaky solids  (which solids were chosen as being
representative of extreme shape limits) were contrasted.


77:02J-004
CHANGING NEEDS AND OPPORTUNITIES IN THE SEDIMENT FIELD,
Wolman, M.G.
Geological Survey, Water Resources Division, Baltimore, Maryland.
Water Resources Research, Vol. 13, No. 1, p 50-54, February 1977.  21 ref.

Descriptors:  *Sedimentation, *Erosion, *Sediment transport, *Sediment yield,
Reviews, Evaluation, Model studies, Hydrologic properties, Hydrologic data,
Environmental effects.

Information on the processes of erosion and sedimentation, while sometimes suf-
ficient for gross estimates of yield, remains inadequate for modern environmental
management.  Little is known about sequential processes involved in the systems
of erosion and sedimentation, and practice and theory require attention to unsteady
or discontinuous erosion and transportation as sediments move from source through
channel systems with intermittent periods of storage.   While climatic and hydro-
logic variations markedly affect yield, transport and deposition thresholds of
erosion of cohesive materials and sequences of such effects remain unclear.  The
highly variable temporal and spatial character of erosion and sedimentation pro-
cesses must be emphasized in the predictive exercise of environmental impact
assessment.  Validation or testing of the predictive capacity of our current know-
ledge can only be achieved by field observation.  This does not imply massive
data collection programs but rather an integration of model building, laboratory
study, and continuity of study in carefully selected field areas.


77:02J-005
DETERMINATION OF SEDIMENT YIELD BY TRANSFERRING RAINFALL DATA,
Smith, J.H., Davis, D.R., and Fogel, M.
Arizona University, Department of Systems and Industrial Engineering, Tucson,
Arizona.
Water Resources Bulletin, Vol. 13, No. 3, p 529-541, June 1977.  2 fig, 17 ref.

Descriptors:  *Sediment yield, *Reservoir silting, *Model studies, *Arizona,
Rainfall, Reservoir storage, Reservoirs, Dead storage, Decision making. Equations,
Risks, Mathematical studies, Numerical analysis, Methodology, Estimating, Sediment
discharge.

A methodology for obtaining the optimal design value to allow for sediment storage
in a reservoir was presented for the situation where no data on sediment loads in
the incoming streams are available.  Information concerning the amount of sediment
delivered to the reservoir over its lifetime was obtained by a sediment yield model
which uses data on rainfall amount and duration obtained from a nearby experimental
watershed.  Bayesian Decision Theory was used to obtain the optimal storage re-
quirements in order to consider the natural variation of rainfall and the sampling
error due to the short rainfall record available.  The normally difficult calcula-
tions involved were made tractable by the use of simplifications and approximations
which were valid in the context of the problem.  Results showed that sediment
storage requirements can be calculated in this manner and that consideration of
the uncertainties involved leads to a shortage requirement  substantially larger
than that calculated without such consideration.
                                        100

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77:02J-006
MANAGEMENT GUIDELINES FOR CONTROLLING  SEDIMENTS,  NUTRIENTS,  AND  ADSORBED BIOCIDES
IN IRRIGATION RETURN FLOWS,
Carter, D.L., and Bondurant, J.A.
United States Department of Agriculture,  Snake River  Conservation Research Center,
Kimberly, Idaho.
Proceedings of National Conference  on  Irrigation  Return Flow Quality Management,
Colorado State University, Fort  Collins,  Colorado,  p  143-152,  May 16-19, 1977.
3 tab, 36 ref, 2 equ.

Descriptors:  Furrow irrigation.  Sediments,  Return  flow,   Erosion,  Nutrients,
Surface irrigation, Runoff, Irrigation, Tailwater,  Irrigation systems.

Sediments in irrigation return flows arise mostly from furrow erosion,  and nearly
all nutrients and biocides in surface  irrigation  return flows, except those applied
directly to the water, are adsorbed to the sediments.  Therefore, controlling
erosion and sediment loss  in these  surface return flows also controls the nutrients
and biocides.  There are three general management approaches for controlling sediments
in return flows.  The first is to eliminate  surface runoff by using irrigation  methods
that  produce no runoff.  These methods include properly designed and operated
sprinkler systems,  basin,  trickle,  and some  border  and level furrow methods. The
second approach is  to eliminate  or  reduce erosion by  controlling the slope in the
direction of irrigation, the furrow stream size,  the  run length, the irrigation
frequency and duration, and tillage practices. The third is to remove sediments
from  surface return flows  by controlling  the tailwater and utilizing sediment
retention basins.   All three approaches are  applicable and necessary for adequate
control  in most irrigated  areas.  Available  technology needs to be integrated
and applied to these approaches.  Research to develop improved irrigation systems
and methods, improved irrigation water distribution systems, and better field
management practices, and  research  on  design and  operational criteria for sediment
retention basins are needed.


 77:02J-007
ECONOMIC ANALYSIS OF ON-FARM METHODS  FOR  CONTROLLING  SEDIMENT AND NUTRIENT LOSSES,
Lindeborg, K.H., Conklin,  L., Long,  R.B.,  and Michalson, E.L,
 Idaho University, Moscow,  Idaho,
Proceedings  of National Conference  on  Irrigation  Return Flow Quality Management,
Colorado State University, Fort  Collins,  Colorado,  p  193-201, May 16-19, 1977.
 16  tab,  3 ref.

 Descriptors:   Idaho, Model studies, Irrigation practices, Crop production, Erosion,
 Sedimentation,  Irrigation, Water quality, Phosphorus,  Nitrogen, Groundwater,
 Pollution.

 Information  from  150  farmers  in  the Boise and Magic Valley areas was collected
 relative to  current crop production,  tillage and  irrigation practices, cost of
 production,  and income  from crop production.  The physical and economic data were
 processed by  a  budget generating method allowing  standardized procedures of
 estimating costs of operating machinery and  equipment.  Partial budgets for each
 important crop  grown  in  the  two  areas  were developed  from the computer program.
 Representative  farms were  simulated for the  two areas based on the partial budgets,
 The simulated  farm  sizes will be a  measure of the profitability of the present
 farming  operation under  existing water management practices.  The effects on farm
 net income of  implementing erosion  control practices  on the farms, as well as by
 district, are  analyzed  using  linear programming models.  The analysis is based  on
 two farm sizes  in each  area,  and measures the effects on net farm income for a
 given set of  rotation with increasing sedimentation loss, or alternately, a
 changing cropping pattern  with  a given lower limit of sediment loss with the re^
 suiting  change  in farm  net income.


 77:02J-008
 NUTRIENT LOSSES  IN  SURFACE RUNOFF FROM A NATIVE PRAIRIE,
 Timmons,  D.R.,  and  Holt, R.F.
 United States  Department of Agriculture—Agricultural Research Service, North
 Central  Soil  Conservation  Service,  Morris, Minnesota    56267,
 Journal  of Environmental Quality, Vol. 6, No, 4,  p 369-373, October-December,
 1977.  5 tab,  22  ref.
                                           101

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Descriptors:  Nutrients, Fertilizers, Fertilization, Runoff, Minnesota, Snowmelt,
Rainfall, Rainfall-runoff-relationships, Nitrogen, Phosphorus, Potassium, Sodium,
Calcium, Chemical oxygen demand.

Nutrient losses in surface runoff from a native prairie were determined for 5
years.  The prairie, dominated by little bluestem was on a Barnes loam soil in
west-central Minnesota.  Snowmelt runoff accounted for 80% of the average annual
runoff.  After spring thaw, rainfall caused appreciable runoff (37% of annual)
during 1 year only-  Depending on chemical parameter, 63 to 88% of the average
annual nutrient loads were transported by snowmelt runoff.  Average annual total
nitrogen (N) and total phosphorus (P) losses were 0.8 and 1.1 kg/ha, respectively,
and organic N and organic  (+ hydrolyzable) P comprised 68 and 82% of their
respective  annual  losses.  Average annual cation  losses ranged from about 0,1
to  1.8  kg/ha and,  except for 1 year, were in the  order K>Ca>Mg>Na,  Average
weighted concentrations for all parameters were higher for rainfall runoff than
for snowmelt runoff.  Nutrient losses from native prairie represent natural
levels  for  comparing  the effects of  different land uses on nutrient loads in
surface runoff.


77:02J-009
SOIL LOSS:  AN OVERVIEW,
Kovda,  V.A.
Moscow  State University, Institute of Agrochemistry  and Soil Science, Moscow
Region,  Union of Soviet Socialist Republics.
Agro-Ecosystems, Vol.  3, No, 3, p 205-224, June 1977,  3 tab, 12 ref.

Descriptors:  Soils,  Soil  investigations, Soil erosion,. Soil environment, Soil
engineering, Soil  management, Soil science, Environment, Land resources, Land
management, Land use.

The earth's soil budget is analyzed  and the causes of loss and degeneration are
described.  The main  efforts to solve the problems of soil loss should be con-
centrated on:   (a)  the  preparation of international  guidelines for conservation
policy;  (b) declaration of an International Soil  Conservation Decade; and  (c)
acceleration of and support for land assessment;  (d) development of national
planning for alternative land uses;  (.e) research  to  establish ecologically
sound policies for land use and conservation.


77:02J-010
ERODIBILITY OF SOME MINNESOTA SOILS,
Young,  R.A,, and Mutchler, C.K,
Agricultural Research Service, Morris, Minnesota.
Journal of  Soil and Water  Conservation, Vol. 32,  No. 3, p 1807-182, July 1977.
3 tab,  22 ref.

Descriptors:  *Erosion, *Minnesota,  *Soils, *Erosion rates, *Soil erosion, Runoff,
Bulk density, Equations, Silts, Montmorillonite,  Hydrology.

Soil erodibility factors from 13 Minnesota soils  were calculated based on mea*-
sured soil  loss and on  runoff from standard simulated rainstorms.  Regression
analysis of erodibility on 10 soil characteristics plus runoff indicated that
5 soil  variables-aggregate index, dispersion rate, bulk density, percent silt
and very fine sand, and amount of montmorillonite in the  soil-explained 90% of
the variance in the calculated K values.  When currently used K values obtained
from the soil erodibility  nomograph  and SCS determinations were compared with
the calculated K values, it was found that the currently used values under-
estimated the erodibility  of 6 and overestimated  the erodibility of 3 of the
13  soils tested.


77:02J-011
HELLEY-SMITH BED LOAD SAMPLERS,
Johnson, C.W., Engleman, R.L., Smith, J.P., and Hanson, C.L.
Agricultural Research Service, Boise, Idaho,
Journal of  the Hydraulics  Division,  American Society of Civil Engineers, Vol.  103,
No.  HY10, p 1217-1221, October 1977,  2 fig, 1 tab,  9 ref,  1  append.
                                         102

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Descriptors:  *Bed load samplers,  *Sampling,  *ldaho,  *0n-site  investigations,
*Sediment load. Instrumentation, Demonstration watersheds,  Equipment,  Sediment
transport, Sediments, On-site tests, Testing, Testing procedures, Measurement.

This paper reported recent findings and  experiences  in using Helley-Smith bed
load samplers in streams on the Reynolds Creek Experimental Watershed  in south-
west Idaho.  Equipment and procedures developed  in sampling during peak stream-
flow events were described.  The 90-sq mile  sagebrush rangeland watershed, with
a main stream length of 16 miles  (25,7 km),  an elevation difference of 3,700
ft  (1,130 m) , and average streamflow rate  of  21.5 cfs,  is characterized by steep
gravel-boulder streambeds with many outcrops  of  basalt and  granite.  The streams
transport large quantities of sediment during rainfall and  snowmelt events.  Users
of Helley-Smith bed load samplers, under conditions  of high organic and sediment
transport, should recognize the possible sampling error caused by clogging of
standard sampler bags and instead  use either  larger  bags or bags with  a mesh
larger than 0.2 mm.  The samplers  with standard  small 0,2 mm mesh bags clogged
very easily and drastically affected the sediment catch.  The  large sampler
bags with 930 sq in of bag area, instead of  340  sq in caused no sampler operation
problems and allowed sampling for  longer periods to  obtain  larger samplers.
Large 0.2 mm mesh bags are recommended for most  uses,


77:02J-012
PROCEEDINGS OF THE NATIONAL SYMPOSIUM ON SOIL EROSION AND SEDIMENTATION BY WATER,
American Society of Agricultural Engineers
American Society of Agricultural Engineers,  2950 Niles Road, Saint Joseph,
Michigan    49085.
Proceedings of the National Symposium on Soil Erosion and Sedimentation by Water,
Palmer House, Chicago, Illinois, 151 p,  December 12-13, 1977,  25 fig, 17 tab,
275 ref, 37 equ.

Descriptors:  Soil erosion, Erosion, Sedimentation,  Erosion control. Erosion rates,
Sediment control, Sediment discharge, Sediment load,  Sediment  transport, Sedimen-
tation, Sediments.

The results of numerous research projects  and investigations are presented which
focus upon  defining appropriate technologies  for alleviating soil erosion and
sedimentation by water.  Each year,  1 million acre-feet of  sediment, the product
of  erosion, is deposited in reservoirs,  occupying waters-storage volume that cost
100 million dollars to develop.  Additionally, sediment from construction clogs
drainage ditches and storm sewers.  Sediment from surface mines damages adjacent
waterways,  destroying aquatic life.  Sediment from irrigated fields increases
the turbidity of nearby streams and  makes  treatment  for municipal uses difficult.
Although agricultural erosion and  sedimentation  problems have  received wide-
spread attention for decades, the  problem  still  persists.   Methods to  control
erosion in  1940 are seldom acceptable in 1977,   Massive changes in farm machinery,
animal husbandry, and cropping have  negated  many methods of erosion control.  New
vegetative  and mechanical methods  for erosion control have  been developed to
solve problems in 1977.  In recent years,  besides experiencing an increased de-
mand  for clean water, there has been an  increasing demand for  new construction
and for minerals and new sources of  fossil fuels.  Technology  has been developed
to  control  erosion and sedimentation from  surface mines and construction sites.


 77:02J-013
SEDIMENT  PREDICTION IN THE EASTERN UNITED  STATES,
Malcolm, H.R., Jr., and Smallwood, C.r Jr.
North Carolina State University, Department  of Civil Engineering, Raleigh, North
Carolina.
Journal of  the Water Resources Planning  and  Management Division, American Society
of  Civil Engineers, Vol. 103, No,  WR2, Proceedings Paper 13340, p 285^298, November
1977.  6  fig,  2 tab, 13 ref,  2 append.

Descriptors:   *Sedimentation, *Streams,  *Lakes,  *Model studies, Mathematical
models, Equations, Urbanization, Drainage, Erosion,  Forecasting, Planning, Channels,
Lake  sediments, Deposition  (.sediments),  Sediment discharge. Sediment transport,
Watersheds  (basins), Erosion, Sedimentology.
                                          103

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Sediment discharge equations were derived for wooded, rural, urban, and severely
exposed watersheds on the East Coast.  The equations were used to model the im-
pact of urbanization on sedimentation activity.  The equations can be used in
crude, but reasonably effective, modeling techniques to study some impacts of
urbanization on streams and lakes.  The equations confirmed and quantified the
existence of a two-part urban sedimentation problem: one associated with erosion
of denuded areas, and the other with the degradation of stream channels rendered
unstable by extensive watershed changes.  Two studies compared results with
historical cases.


77:02J-014
RESOURCE ADEQUACY IN LIMITING SUSPENDED SEDIMENT DISCHARGES FROM AGRICULTURE,
Heady, E.O., and Meister, A.D.
Iowa State University, Center for Agricultural and Rural Development, Ames,
Iowa   50011.
Journal of Soil and Water Conservation, Vol. 32, No, 6, p 289-293, November-
December, 1977.  3 fig, 6 tab, 3 ref.

Descriptors:  Computer programs, Model studies, Pollution, Agriculture, Water
surface, Irrigation, Erosion, Sediments, Suspended sediments.

The Iowa State University national programming model was used to evaluate the
economic impacts of controlling nonpoint pollution from agriculture and to assess
whether environmental improvement goals could be met in conjunction with high
agricultural exports.  Alternatives analyzed included a base solution, high
exports, land and water conservation, and environmental enhancement.  High ex-
ports could be attained simultaneously under the land and water conservation al-
ternative.  Exports must be reduced, however, under the environmental enhance^
ment alternative.  To meet exports under the land and water conservation alter-
native, 10 million acres of wetlands would need to be converted to cropland.
Returns to land would increase considerably under all alternatives other than
the base solution.  There would be wide variations among regions, however.  In
general, a relative redistribution of income from irrigated to drylands and
from erosive to nonerosive farming regions would occur.


77:02J-015
FILTRATION OF NONHOMOGENEOUS SEDIMENT BY SIMULATED VEGETATION,
Hayes, J.C., and Barfield, B.J.
Kentucky University, Department of Agricultural Engineering, Lexington, Kentucky,
Presented at the 1977 Winter Meeting of the American Society of Agricultural
Engineers, December 13-16, 1977, Palmer House Hotel, Chicago, Illinois, p 1^18,
7 fig, 2 tab, 14 ref, 24 equ.

Descriptors:  Model studies, Sediment, Sedimentation, Sediment loads, Open channels,
Simulation analysis, Hydrographs, Vegetation, Vegetation effects.

A nonsteady state model is presented for determining the sediment infiltration
of an artificial grass filter under varying flow rates, sediment loads, particle
sizes, channel slopes, and media density.  Good agreement was found between
predicted and observed profiles for given flow conditions and inflow hydrographs
using laboratory data.


77:02J-016
SOIL LOSS EQUATION:  DERIVATION FOR STEEP SLOPES,
Gregory, J.M., Johnson, H.P., and Kirkham, D.
Missouri University, Department of Agricultural Engineering, Columbia, Missouri,
Presented at the 1977 Winter Meeting of the American Society of Agricultural
Engineers, December 13-16, 1977, Palmer House Hotel, Chicago, Illinois, p l<-29,
4 fig, 1 tab, 10 ref, 65 equ.

Descriptors:  Model studies, Simulation analysis, Sediment transport, Erosion,
Soil erosion.

An equation has been derived for the prediction of soil loss from areas with
steep slopes.  The equation compares favorably with the Universal Soil Loss
Equation for flat slopes (0-20 percent) and agrees with experimental results  in
the literature for steep slopes (20-100 percent).
                                          104

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77:02J-017
PREDICTING SEDIMENT YIELD FROM AGRICULTURAL  LAND,
Shelton, C.H.
Tennessee University, Department of Agricultural Engineering,  Knoxville,
Tennessee.
Presented at the 1977 Winter Meeting of  the  American  Society of  Agricultural
Engineers, December 13-16, 1977, Palmer  House  Hotel,  Chicago,  Illinois, pi-16.
4 fig, 3 tab, 6 ref, 3 equ.

Descriptors:  Sediments, Sediment yield, Agriculture,  Simulation analysis.
Runoff, Soil erosion.

Three forms of sediment-yield prediction equations  were  developed and  tested
with data from 105 runoff events on five watersheds.   Runoff volume  accounted
for variations in yield better than maximum  30-minute intensity  rainfall, ero-
sive-potential rainfall factor, or peak  runoff rate;  and the best prediction
equation was obtained after logarithmic  transformation of variables.


77:02J-018
WATER QUALITY LOADINGS DURING THIRTEEN STORMS  ON THE  CADDO RIVER, ARKANSAS,
Perrier, E.R., Westerdahl, H.E., and Nix,  J.F.
United States Army Engineer District, Waterways Experiment Station,  Environmental
Effects Laboratory, Vicksburg, Mississippi.
American Society of Agricultural Engineers,  Post Office  Box 410,  Saint Joseph,
Michigan   49085, p 1-28.  5 fig, 11 tab,  14 ref.

Descriptors:  Water quality, Sediments,  Sedimentation, Sediment  loads,  Sedimen-
tary basins, Arkansas.

Nonpoint source loadings of twenty-five  selected water quality parameters have
been described for thirteen storm events on  the Caddo River drainage basin  in
Arkansas.  These parameters were functionally  related to on-^site  measurements
although wide variation was attributable to  hysteresis and the stochastic nature
of  the  system.


77:02J-019
PREDICTION OF SEDIMENT BASIN PERFORMANCE,
Ward, A.D.,  Haan, C.T., and Barfield, B.J.
Kentucky University, Department of Agricultural Engineering, Lexington, Kentucky.
Presented at the 1977 Winter Meeting of  the  American  Society of  Agricultural
Engineers,   December 13-16, 1977, Palmer House Hotel,  Chicago, Illinois, p  1^29,
11  fig, 2 tab, 17 ref, 12 equ,  1 append.

Descriptors:  Model studies, Mathematical  analysis, Simulation analysis, Sedimen-
tation, Sediment control, Sediment load.

A mathematical model for  simulating the  sedimentation characteristics  of detention
basins  is described.  Using data generated by  the model, the significant factors
affecting basin trapping  efficiency and  peak sediment outflow  concentrations are
identified.  Equations for predicting these  factors are  developed,


77:02J-020
THE ANSWERS  MODEL:  A PLANNING  TOOL FOR  WATERSHED RESEARCH,
Beasley, D.B., Monke, E.J., and Huggins, L.F.
Arkansas University, Department of Agricultural Engineering, Fayetteville,  Arkansas.
Presented at the 1977 Winter Meeting of  the  American  Society of  Agricultural
Engineers, December 13-16, 1977, Palmer  House  Hotel,  Chicago,  Illinois, p 1-21,
12  fig, 2 tab, 15 ref, 7  equ.

Descriptors:  Model studies, Computer programs, Hydrology, Erosion,  Soil erosion.

The ANSWERS model, a distributed parameter watershed  hydrology and erosion  simulator,
is  presented.  The basic  concepts and the  pertinent component  relationships are
described.   In addition,  sample outputs  from the ANSWERS model are included.
                                          105

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77:02J-021
ERODIBILITY OF SELECTED CLAY SUBSOILS IN RELATION .TO PHYSICAL AND CHEMICAL
PROPERTIES,
Romkens, M.J.M., Roth, C.B., and Nelson, D,W.
Agricultural Research Service, Sedimentation Laboratory, Oxford, Mississippi,
Soil Science Society of America Journal, Vol. 41, No. 5,. p 954-960, September-
October, 1977.  2 fig, 6 tab, 21 ref.
 (See 77:02G-174)


77:02J-022
SOLVING THE SOIL EROSION PROBLEM,
Barlow, T.
Natural Resources Defense Council, Incorporated, 917 15th Street, N.W,, Washington,
D.C.   20005.
Journal of Soil and Water Conservation, Vol. 32, No. 4, p 147-149, July-August,
1977.

Descriptors:  Erosion, Soil erosion, Water quality, Water pollution, Runoff.

Soil erosion is a serious national problem today.  Air and water can be cleansed
of pollutants, but when the topsoil is gone, the country is in real trouble.  How
serious is the erosion problem?  Let me cite some reports and hearings from the
past two years.  And please note, these are not wild-eyed radicals speaking.  They
are agricultural scientists and farmers who work the land, the people who know
best.


77:02J-023
EVALUATION OF WILD OAT STRAW AS A SOIL EROSION RETARDANT USING SIMULATED RAINFALL,
Singer, M.J., and Blackard, J.
California University, Department of Land, Air and Water Resources, Davis,
California.
Agronomy Journal, Vol. 69, No. 5, p 811-814, September-October, 1977.  3 fig,
2 tab, 13 ref.

Descriptors:  Erosion, Soil erosion, Rainfall, Oats, Runoff, Mulches.

Soil cover is recognized as an important factor in soil erosion control.  This
study was made to determine the quantitative relationship between cover percent
for one cover type and soil loss under simulated rainfall.  Data from this ex-
periment are used to calculate a cover coefficient for wild oat straw similar to
the "C" factor in the Wischmeier Universal Soil Loss Equation.  The R, K, L, S,
and P factors were kept constant during the experiments,  A rainfall simulator
was used in the laboratory to produce 30 min rainfall events of 76 mm/hour  (3 in/
hour) intensity on soil material at 9% slope.  Under these conditions, wild oat
straw significantly reduced sediment loss at cover levels of 50% or more.  A
significant reduction in runoff volume was observed for cover percentages ex-
ceeding 90%.


77:02J-024
INFLUENCE OF ENVIRONMENTAL PARAMETERS ON EDTA BIODEGRADATI0N IN SOILS AND SEDIMENTS,
Tiedje, J.M.
Michigan State University, East Lansing, Michigan  48824,
Journal of Environmental Quality, Vol. 6, No. 1, p 21-26, January-March, 1977,
4 fig, 3 tab, 20 ref.

Descriptors:  Soils, Soil investigations, Soil texture, Sediments, Sedimentation,
Chelation.

14C-EDTA (.ethylenediaminetraacetate) was slowly degraded to 14CO2 by all soils
tested from the major agricultural EDTA use areas; by soils varying in uses,, pH,
and texture; and by sediments from the Detroit River.  EDTA degradation appears
to be a result of cometabolism by established microbial populations.  Production
of 14CO2 from EDTA occurred under aerobic but not anaerobic conditions.  No detect-
able quantities of intermediates accumulated under either condition,  EDTA  deg-
radation followed first order kinetics for concentrations ranging from 0.4 to
90 ppm.  Degradation was observed up to 1,000 ppm EDTA, the highest concentration
                                          106

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tested.  The date of sample collection had a marked  effect  on  extent of degrada-
tion with the winter-collected samples showing  greater  than twice  the degradation
of summer-collected samples.  The Q10 was two up  to  30C.  Initially degradation
of 50C was limited, but after 9 weeks incubation  the rate accelerated indicating
the adaptation of thermo-tolerant EDTA-degrading  populations.  The extent of
degradation among soils was variable; common values  for 2 to 4 ppm of added
14C-EDTA mineralized were 13 to 45%  after 15 weeks and  65 to 70% after 45 weeks.


77:02J-025
SOIL EROSION AND SEDIMENTATION BY WATER—AN OVERVIEW,
Foster, G.R., and Meyer, L.D.
Purdue University, Department of Agricultural Engineering,  West Lafayette, Indiana.
Proceedings of the National Symposium on Soil Erosion and Sedimentation by Water,
Palmer House, Chicago, Illinois, p 1-13, December 12-13, 1977.  53 ref.

Descriptors:  Soil erosion, Erosion, Sediments, Rainfall, Water quality, Sediment
load, Sediment transport.

Soil erosion and sedimentation by water primarily involve the  processes of de-
tachment, transportation, and deposition of sediment by raindrop impact and
flowing water.  Erosion and sedimentation are major  problems that  reduce the
productivity of cropland, degrade water quality,  carry  polluting chemicals, and
reduce the capacity of water conveyance structures.   The erosions-sedimentation
system is composed of upland and channel components, While the uplands act some-
what independently of the channels,  the behavior  of  the channels is directly  in<-
fluenced by the upland inputs.  Spatial and temporal variations in erosion are
common with time lags in sediment yield as great  as  several decades.  Climate,
soil, topography, and land use are major factors influencing erosion and
sedimentation.


77:02J-026
CURRENT SOIL EROSION AND SEDIMENT CONTROL TECHNOLOGY FOR RURAL AND URBAN LANDS,
Highfill, R.E., and Kimberlin, L.W.
United States Department of Agriculture, Soil Conservation  Service, Washington,
D.C.,
Proceedings of the National Symposium on Soil Erosion and Sedimentation by Water,
Palmer House, Chicago, Illinois, p 14-22, December 12-13, 1977,  28 ref,

Descriptors:  Erosion, Sediments, Water quality,  Water  resources,  Agriculture,
Erosion control, Sediment load.

Erosion and sedimentation are important factors in managing land and water re-
sources.  Agricultural land, especially cropland, produces  the largest amount
of sediment annually.  The next largest source  is geologic  erosion.  Range and
forest lands and construction activities are about equal in the amount of sedi-
ment produced.  Erosion control is important to maintain productivity on'
agricultural and forest lands and to aid in sediment pollution control.  Pro*-
cedures have been developed for predicting erosion and  sediment yield.  Technology
is available to reduce the amount of erosion and  sediment induced  by water from
most land areas.  In some places, additional research or data  are  needed to im<-
prove  the performance of erosion control systems  or  reduce  the cost, or both.
The quality of installation and maintenance of  erosion  control measures is still
one of the major problem areas.


77:02J-027
POLITICAL, SOCIAL, AND ECONOMIC ASPECTS OF SOIL EROSION AND SEDIMENTATION
CONTROL PROGRAMS,
Heft,  F.E.
Ohio State University, Department of Agronomy,  Ohio,
Proceedings of the National Symposium on Soil Erosion and Sedimentation by Water,
Palmer House, Chicago, Illinois, p 23-30, December  12-13, 1977,

Descriptors:  Economics, Erosion, Sediments, Soil erosion,  Political aspects,
Social aspects, Social values.
                                        107

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Recently, we have witnessed a sincere, dedicated, and sometimes fervent concern by
our citizenry for our natural resource-use and management policies.  The most ob-
vious of these concerns are couched in our environmental spectrum containing both
realistic and unrealistic demands upon our political, social, and economic systems.
Shrinking supplies of certain natural resources and the ability of our nation to
retain a high degree of self-sufficiency has brought serious challenges to our
management policies.


77:02J-02S
PREDICTING SOIL EROSION,
Kimberlin, L.W.,  and Moldenhauer, W,C.
United States Department of Agriculture, Soil Conservation Service, Washington,
D.C. ,
Proceedings of the National Symposium on Soil Erosion and Sedimentation by Water,
Palmer House, Chicago, Illinois, p 31-42, December 12-13, 1977.  26 ref.

Descriptors:  Soil erosion, Erosion, Erosion rates, Sediment transport, Sedimenta-
tion.

Erosion of soil by water poses an increasing threat as needs for food and fiber
production and space for social and economic necessities of a growing population
and pressures to our Nation's land resources.  The Universal Soil Loss Equation
(USLE) developed through many years of cooperative efforts of the Agricultural
Research Service, state experiment stations, and the Soil Conservation Service
is a highly useful tool for predicting sheet and rill erosion under various con-
ditions of land use and management.  It is widely accepted and used by soil
conservationists and others.  However, there are some problems associated with
its use and some additional needs to supplement its use in the field,


77:O2J-029
PREDICTING SEDIMENT YIELDS,
Onstad, C.A,, Mutchler, C.K., and Bowie, A.J,
United States Department of Agriculture, Agricultural Engineering Division,
Morris, Minnesota.
Proceedings of the National Symposium on Soil Erosion and Sedimentation by Water,
Palmer House, Chicago, Illinois, p 43-58, December 12-13, 1977.  50 ref, 14 equ.

Descriptors:  Soil erosion, Erosion, Sediments, Sediment transport, Sediment load,
Sediment discharge, Model studies.

Sediment yield is the amount of soil transported from a drainage basin.  Studies
for predictions of sediment yield have general uses, which include the following.
Simulations are used to extend a short-term sampling program to an adequate data
base to predict future watershed response to various land^use alternatives and
as an ordered sequence of steps in time and space so that information gaps can be
identified.  The specific needs for sediment yield prediction are so varied that
no single model could meet them without a great loss o£ efficiency.  These needs
generally fall into the categories of length of model event time, area to be
simulated, and sediment sources.  At present, many sediment yield models are
available for use or have been used for various purposes,


77:02J-030
ESTABLISHING SOIL LOSS AND SEDIMENT YIELD LIMITS FOR AGRICULTURAL LAND,
Logan, T.J.
Ohio State University, Ohio Research and Development Center, Department of
Agronomy, Ohio.
Proceedings of the National Symposium on Soil Erosion and Sedimentation by Water,
Palmer House, Chicago, Illinois, p 59-68, December 12-13, 1977,  1 fig, 3 tab,
13 ref, 3 equ.

Descriptors:  Agriculture, Soil erosion, Erosion, Sedimentation, Sediment dis-
charge, Sediments, Sediment load.
                                       108

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Soil loss tolerance values, T-values, are currently based on  annual gross .erosion
rates that can be tolerated and still maintain  crop productivity.  The major
criterion used by Soil Conservation Service  in  establishing these values which
range from 1 to 5 tons acre  (-1) year  (-1) is topsoil depth.  The assumptions on
which this criterion is based are reviewed.  Soil  loss  in relation to sediment
and nutrient watershed yields is discussed and  criteria which might be used to
establish tolerance values for sediment  and  nutrient loss abatement programs are
given.  Soil loss tolerances for sediment and nutrient  loss reduction will likely
be more restrictive than T-values and should be applied only  to critical areas
where the impact of these sources is greatest.


77:02J-031
SEDIMENTATION AND EROSION CONTROL IMPLICATIONS  FOR WATER QUALITY MANAGEMENT,
Mulkey, L.A., and Falco, J.W,
United States Environmental Protection Agency,  Technology Development and Applica-
tions Branch, Environmental Research Laboratory, Athens, Georgia,
Proceedings  of the National Symposium on Soil Erosion and Sedimentation by Water,
Palmer House, Chicago, Illinois, p  69-90, December 12-13, 1977.  11 fig, 4 tab,
34 ref, 20 equ.

Descriptors:  Soil erosion, Erosion control, Water quality, Sediment transport,
Simulation analysis.

Erosion and  sedimentation, including sediment transport through a watershed sys-
tem, play important but complex roles in  water quality management.  The most
meaningful way to evaluate the relative  effectiveness of various erosion control
methods for  water quality management is  via  continuous  simulation models.  If
water quality goal attainment  is attempted by application of  source controls
within some  specified  technology limits  (including costs), however, a more sim-
plistic approach may be used for analysis of this  nonpoint source of environmen-
tal  pollution.  This paper focuses  on the latter technique, but also presents
the  results  of more sophisticated analysis methods for  illustrative purposes.


77:02J-032
VEGETATIVE WATER EROSION CONTROL FOR AGRICULTURAL  AREAS,
Mannering, J.V,, and Fenster,  C.R.
Purdue University, Department  of Agronomy, Indiana,
Proceedings  of the National  Symposium on Soil Erosion and Sedimentation by Water,
Palmer House, Chicago,  Illinois, p  91-106, December  12-13, 1977,  3 fig, 11 tab,
27  ref.

Descriptors: Soil erosion,  Erosion control, Sediment transport, Vegetation,
Vegetation effects.

Methods whereby vegetation can effectively control water  erosion are presented.
Both crop residues and their management  as well as growing vegetation are con?-
sidered.  Crop residue factors  that determine their  erosion control effective-
ness includes  (a) the  type of  crop,  Cb)  the  amount and  type of residues pro*-
duced,  (c) whether or  not  residues  are  removed  or  left  on the field and  (d)
the effect of residue  placement  by  tillage systems,


77:02J-033
MECHANICAL EROSION CONTROL FOR AGRICULTURAL  AREAS,
Jeschke, J.L., Moe, R.C.,  and  Carmack, W.J.
United States Department of  Agriculture, Soil Conservation Service, Lincoln,
Illinois.
Proceedings  of the National  Symposium  on Soil Erosion and Sedimentation by Water,
Palmer House, Chicago,  Illinois, p  107-115,  December 12-13, 1977,   2 fig, 4 tab,
5 ref.

Descriptors: Soil erosion,  Erosion, Erosion control, Agriculture,  Terracing,
                                       109

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Mechanical erosion control is discussed as it relates to practice application  on
sloping cropland.  Planning and design considerations for applying terraces,
grade stabilization structures, and debris basins are presented.  Special empha-
sis is placed on the problems involved in designing these practices to be compati-
ble with current farming techniques.  The benefits of using topographic maps pro-
duced by aerial surveys in planning and design of these practices are also dis-
cussed.


77:02J-034
PROBLEMS OF IMPLEMENTING EROSION CONTROL,
Hagen, W.R.
State Soil Conservation Committee, Waterville, Iowa   52170,
Proceedings of the National Symposium on Soil Erosion and Sedimentation by Water,
Palmer House, Chicago, Illinois, p 116-124, December 12-13, 1977.  2 tab.

Descriptors:  Soil erosion, Erosion, Erosion control, Sediment transport, Soil
conservation.

The author cites personal involvement in soil and water conservation work on his
own farm, during the formation years of the soil conservation movement in the
United States to the present.  Personal experiences in problems of implementing
erosion control are shown, as well as progress in spite of those problems.  Cur-
rent problems in erosion control include (.1)  only partial community acceptance,
 (2) peer group pressure,  (3) unsuitable equipment, (.4)  resistance to change,
 (5) economic burdens, and (.6) damaging press coverage.   To counteract these ob-
stacles, the author suggests (.1) continued use of accurate news releases, (.2)
continued education on natural resource problems, (.3) election and appointment
of public officials with a knowledge of and concern for natural resources, (4)
passage of land use legislation, (.5) imposing fines on blatant abusers of the
land,  (6) giving tax incentives to landowners who practice conservation and  (7)
increasing government cost-sharing for establishment of permanent soil conserva-
tion practices,


77:02J-035
EROSION AND SEDIMENT CONTROL IN URBANIZING AREAS,
Boysen, S.M.
United States Department of Agriculture, Soil Conservation Servicef College
Park, Maryland   20740.
Proceedings of the National Symposium on Soil Erosion and Sedimentation by Water,
Palmer House, Chicago, Illinois, p 125-136, December 12-13, 1977,  7 fig, 8 ref,

Descriptors:  Soil erosion, Erosion, Erosion control, Sediment control,. Sediments,
Urbanization.

The urban sediment control program in Maryland according to a recent United States
Geological Survey report has caused a 60 to 80 percent reduction in construction
site sediment yields between 1966 and 1974,  The sediment control program, based
on a set of basic principles, was developed and implemented beginning in Mont-
gomery County in 1965.  Technical principles for controlling erosion and sediment
were also developed.  The present state law requires that all development must
have a sediment control plan approved by the soil conservation district before
any construction begins.


77:02J-036
EROSION AND SEDIMENT CONTROL FOR COAL SURFACE MINE AREAS,
McCarthy, R.E.
Washington Irrigation and Development Company, Centralia, Washington   98531,
Proceedings of the National Symposium on Soil Erosion and Sedimentation by Water,
Palmer House, Chicago, Illinois, p 137-145, December 12-13, 1977,  1 fig, 1 tab,

Descriptors:  Mining, Water quality, Drainage, Erosion, Soil erosion, Erosion
control, Sediments, Sediment control,

The elimination of the impact of a major coal surface mine on the water quality of
adjacent waterways through the use of drainage systems, settling ponds, and a mon-
itoring system for dispensing polymer electrolytes for chemical flocculation of
suspended sediment is described.
                                        110

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77:02J-037
EROSION AND SEDIMENTATION ON IRRIGATED LANDS,
Bondurant, J.A.
Agricultural Research Service, Snake  River Conservation  Research Center, Kimberly
Idaho   83341.
Proceedings of the National Symposium on  Soil  Erosion  and  Sedimentation by Water,
Palmer House, Chicago, Illinois, p  146-151,  December 12-13,  1977,   13 ref.

Descriptors:  Erosion, Soil erosion.  Irrigation,  Surface irrigation, Sediments,
Sediment discharge.

Most erosion on irrigated land is caused  by  the  irrigation itself.  Surface ir<-
rigation—where water is applied directly to the  surface as  in  furrow or border
irrigation—can be very erosive.  Data from  southern Idaho show that large
quantities of sediment may be generated within an irrigation system; however,
less sediment may be returned to the  river than  is diverted  with the water
supply.  Technology for reducing erosion  from  irrigated  fields  is available!
irrigation systems may be modified  or changed, fields  may  be leveled or pro^
filed to nonerosive slopes, tillage operations can be  reduced,  vegetative filter
strips and drain ditch elevation control  will  remove sediment,  or sediment ponds
may be used after runoff leaves the field.


77:02J-038
AN EROSION MODEL FOR ARID WILDLAND  WATERSHEDS,
Wagenet, R.J., Grenney, W.J., and Jurinak, J.J.
Utah State University, Department of  Soil Science, Logan,  Utah.
Presented at the 1977 Winter Meeting  of the  American Society of Agricultural
Engineers, December 13-16, 1977, Palmer House  Hotel, Chicago, Illinois, p 1-22.
6 fig, 2 tab, 6 ref.

Descriptors:  Computer programs, Model studies,  Erosion, Soil erosion, Sediments,
Heavy metals.

A nonsite specific computer model was developed  to predict environmental metal
distribution resulting from the erosion of stack  derived emissions  of a coal
fired electric generating facility.  Model predictions of  sediment  eroded Znf
Cd, Cr, Pb, and Hg are presented for  a 25 year period, and show Hg  and Cd to be
of environmental concern while indigenous soil levels  of Zn, Cr, and Pb greatly
outweigh contributions expected from  the  generating facility.


77:02J-039
PREDICTION OF SEDIMENT TRANSPORT IN A GRASSED  MEDIA,
Barfield, B.J., Tollner, E.W., and  Hayes, J.C.
Kentucky University, Department of  Agricultural  Engineering, Lexington, Kentucky
40506.
Presented at the 1977 Annual Meeting  of the  American Society of Agricultural
Engineers, June 26-29, 1977, North  Carolina  State University, Raleigh, North
Carolina, p 1-23.  7 fig, 3 tab, 13 ref,  2Q  equ.

Descriptors:  Model studies, Sediments, Sediment  control,  Sediment  loads, Sediment
transport, Vegetation, Vegetation effects.

A steady state model is presented for determining the  sediment  filtration capacity
of a grass media under varying flow rates, sediment loads, particle sizes, flow
durations, channel slopes, and media  density.  It is possible to use the model_
to predict the required media spacing, channel slope,  and  length of media to give
a desired outflow concentration for given flow conditions,


77:02J-040
COMPARATIVE ERODIBILITY OF LOESS SOILS IN POLAND  AND THE UNITED STATES,
Piest, R.F., and Ziemnicki, S.
United States Department of Agriculture,  Agricultural  Research  Service, Watershed
Research Unit, Columbia, Missouri.
Presented at the 1977 Winter Meeting  of the  American Society of Agricultural
Engineers, December 13-16, 1977, Palmer House  Hotel, Chicago, Illinois, p 1-29.
7 fig, 3 tab, 17 ref, 2 equ.
                                        Ill

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Descriptors:  Erosion, Soil erosion, Iowa, Sediment transport, Erosion control,
Erosion rates.

Historic erosion patterns between loess soil regions of Poland and southwestern
Iowa were compared.  A rational interpretation of the measured soil losses re-
ported by various researchers was attempted through application of the Universal
Soil Loss Equation.  Gullying rates and causes in both countries were examined,


77:02J-041
A RUNOFF EROSIVITY FACTOR AND VARIABLE SLOPE LENGTH EXPONENTS FOR SOIL LOSS
ESTIMATES,
Foster, G.R., Meyer, L.D., and Onstad, C,A.
Purdue University, Department of Agricultural Engineering, Lafayette, Indiana,
Transactions of the American Society of Agricultural Engineers, Vol. 20, No, 4,
p 683-687, July-August, 1977.  1 tab, 15 ref.

Descriptors:  *Soil erosion, *Sediment yield, *Watersheds (basins), *Mathematical
models, Equations, Erosion, Sheet erosion, Rill erosion, Runoff, Estimating,
On-site tests, Slopes, Analysis.

A runoff erosivity term was developed for the Universal Soil Loss Equation (USLE)
from analysis of an erosion equation derived from basic erosion principles,  The
accuracy of erosion estimates for individual storms can be improved significantly
by using a soil loss equation having separate terms for rill and interrill ero-
sion.  Also, such an equation can be used to estimate the amount of sediment from
different slope segments and also the amount from the soil surface and from deeper
within the soil profile.  The analyses showed the potential of estimating soil
loss using separate rill erosion and interrill erosion terms in an erosion equa-
tion.  Research is needed to define precisely the relationship between rill
erosion and runoff erosivity and that between interrill erosion and rainfall
erosivity-  The separate effects of cover, management, and supporting practices
on rill and interrill erosion need to be established.  The achievement of the
mentioned goals promises to provide a flexible, useful, and accurate erosion equa-
tion based on sound erosion principles.  In the meantime, basic erosion principles
can be used as guidelines to adjust parameters in the USLE for more accurate soil
loss estimates for specific time periods and situations,


77:02J-042
AN EROSION EQUATION DERIVED FROM BASIC EROSION PRINCIPLES,
Foster, G.R., Meyer, L.D,, and Onstad, C,A,
Purdue University, Department of Agricultural Engineering, Lafayette, Indiana,
Transactions of the American Society of Agricultural Engineers, Vol. 20, No, 4,
p 678-682, July-August, 1977.  28 ref.

Descriptors:  *Soil erosion, *Watersheds  (.basins), *Theoretical analysis, *Mathe-
matical models, Rill erosion, Sediment transport, Sediment yield, Sheet erosion,
Erosion, Equations, Overland flow, Runoff, Rainfall, Erosion control, Land
management, Shear stress.

An erosion equation was derived from the continpity equation for sediment trans-
port and other basic equations describing rill and interrill erosion.  The re-
sulting equation is a useful model for explaining the behavior of the erosion
process.  The equation might serve as the basis for an operational equation for
estimating soil loss for specific storms.


77:02J-043
EROSION OF THE TARKIO DRAINAGE SYSTEM, 1845-1976,
Piest,  R.F., Elliott, L.S., and Spomer, R.G,
Agricultural Research Service, Columbia, Missouri.
Transactions of the American Society of Agricultural Engineers, Vol. 20, No, 3,
p 485-488, May-June, 1977.  3 fig, 2 tab, 4 ref.
                                       112

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Descriptors:  *Streara erosion, *Channel erosion, *Rivers,  *Iowa, *Missouri,
Runoff, Drainage, Soils, Soil texture, Loess, Degradation  (slope), Degradation
(stream), Scour, Cultivated lands, Agriculture, Gullies, Geomorphology, Slopes,
Erosion, History.

Historic and geologic evidence indicated that channel and  gully erosion was nearly
nonexistent when the loess-mantled Tarkio Basin of  southwestern Iowa and north—
western Missouri was settled about 1845.  The pattern of channel development-
gleaned from old land surveys, records from drainage districts, highway bridge
surveys, and other documents—-is related to the intensity  of  agriculture ana is
linked complexly to the general runoff regimen and  to changes  in soil water
content along channel boundaries.  Some channel enlargement during the post-
settlement period, 1845-1976, is quantified.  Channel profile  changes during
recent years, 1939-1976, were reconstructed.  The excessive scour in a channel
reach of West Tarkio Creek was explained tentatively on the basis of geomorphic
principles and differences in substrata erodibility.


77:02J-044
RUNOFF, EROSION, AND NUTRIENT MOVEMENT FROM INTERRILL AREAS,
Monke, E.J., Marelli, H.J., Meyer, L.D., and DeJong, J.F.
Purdue University, Department of Agricultural Engineering, Lafayette,  Indiana.
Transactions of  the American  Society  of Agricultural Engineers, Vol. 20, No. 1,
p  58-61, January-February, 1977.   4 fig, 6 tab, 9 ref.

Descriptors:  *Runoff,  *Erosion, *Nutrients, *0verland  flow,  *Rainfall, Laboratory
tests, Simulated rainfall, Precipitation  (atmospheric), Soil  erosion,  Suspended
solids, Nitrogen, Phosphorus, Inflow, Soils, Loam,  Silts,  Sediments, Agriculture.

The  influence of rainfall and overland flow on interrill erosion and associated
nutrient losses  was studied for  flatland conditions.  Interrill erosion rates
were substantially large.  However, amounts of eroded soil reaching actual stream
systems may be  greatly  reduced, depending on the severity  of  storms.   Interrill
erosion  rates can be decreased substantially by improved tilth.  In soils with
excellent  tilth, the silt fraction in the eroded soil was  higher than  in the
original soil,  and the  clay and  sand  fractions were lower.  Although N and P con-
centrations in  the soils with excellent tilth were  quite high, losses of these
nutrients  in sediment runoff  were  low because of increased infiltration.


77:02J-045
AN ECONOMIC EVALUATION  OF CROPLAND USE AS A CONTROL FOR SEDIMENT NONPOINT POLLUTION,
Wade,  J.C., and Heady,  E.0,
Iowa Agriculture and Home Economics Experiment Station, Ames,  Iowa,
Agriculture and Environment,  Vol.  3,  No. 4, p 307-323,  October 1977.   6 fig, 3 tab,
12 ref,  11 equ.

Descriptors:  Sediments, Sedimentation, Economics,  Model studies, Water quality,
Agriculture, Pollution.

Substantial economic change occurs if national goals of sediment control are
established.  An environmental/economic model of national  agricultural production
and  sediment—water quality analyses  five alternative goals of sediment control
to give  insight into changes  in  farm  production technologies,  incomes, pollution
levels,  and consumer and producer  costs in  the 48 contiguous  United States,


77:02J-046
NITROGEN AND PHOSPHORUS MOVEMENT FROM AGRICULTURAL  WATERSHEDS,
Burwell, R.E.,  Schuman, G.E., Heinemann, H.G., and  Spomer, R.G.
United States Department of Agriculture, Department of  Soil Science, Agricultural
Research Service, Columbia, Missouri    65201,
Journal  of Soil and Water Conservation, Vol.  32, No.  5, p  226-230, September-
October, 1977.   6 tab,  13 ref.

Descriptors:  Nitrogen, Phosphorus, Nutrients, Fertilizers, Fertilization, Water-
sheds (basins),  Iowa, Runoff, Erosion,  Soil  erosion.
                                         113

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A five-year study on Missouri Valley deep loess watersheds near Treynor, Iowa,
to characterize the movement of nitrogen (N)  and phosphorus (P) as influenced
by applied fertilizer and conservation practices was conducted.  Our report pre-
sents watershed budget-accounting information for measured N and P movement that
included (a) corn crop use, (b) surface runoff losses, (c) deep percolation,
and  (d) subsurface discharge.  Erosion control and the application of N and P
fertilizer at rates recommended for annual crop use minimized losses of these
nutrients from the watersheds.
                                       114

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                                   SECTION IX


                                   WATER CYCLE

                         CHEMICAL PROCESSES  (GROUP 02K)


77:02K-001
ION ACTIVITY PRODUCTS OF CALCIUM CARBONATE IN WATERS BELOW THE ROOT ZONE,
Suarez,  D.L.
Agricultural Research Service, Salinity Laboratory, Riverside, California,
Soil Science of America Journal, Vol. 41, No. 2, p 310-315, March-April, 1977.
4 fig, 3 tab, 27 ref.

Descriptors:  *Ions, *Soil water, *Calcium carbonate,  *Arizona, *Calcareous
soils, Calcite, Soil chemistry, Irrigation wells, Irrigation water, On-site
investigations, Chemical precipitation,

A study was conducted to determine the pH, Ca(2+) and  HC03C-) relations in 28
well waters obtained from beneath fields in  the Wellton-Mohawk Irrigation
District of Arizona.  Based on field measurements of pH, the mean CaC03 ion
activity product (IAP) was 11.3 x 10 to the  minus 9th  power  (pIAP 7.95) with a
standard error of 0.7 x 10 to the minus 9th  power at field water temperatures
of about 25C.  The residence time of waters  in the soil varies widely; results
indicate a longer residence time is associated with greater ionic strength.  The
lack of a trend in pIAP vs. ionic strength indicates the kinetics of calcite
equilibration  (from super-saturation) is slow in soil-water systems.  Further
support for this was an average pIAP of 7.97 calculated from 35 water analyses
obtained from wells in the Grand Valley of Colorado and by a pIAP value of 7.96
in a soil water sample from a lysimeter study.  A pIAP value of 7.95 is sug-
gested for use in predictive models when CaC03 precipitation occurs.  Waters
experiencing rapid CO2 degassing (for example, surface exposure of drainage
waters)  would have higher IAP values and measurable rates of precipitation.


77:02K-002
DISSOLUTION KINETICS OF CARBONATE ROCKS I.   EFFECTS OF LITHOLOGY ON DISSOLUTION
RATE,
Rauch, H.W., and White, W.B.
West Virginia University, Department of Geology and Geography, Morgantown, West
Virginia.
Water Resources Research, Vol. 13, No. 2, p  381-394, April 1977.  15 fig, 4 tab,
36 ref.

Descriptors:  *Carbonate rocks, *Solubility, laboratory tests, *Pennsylvania,.
Dolomite, Calcite, Limestones, Karst, Sedimentary rocks, Caves, Geomorphology,
Rock properties, Rocks, Carbon dioxide. Water, Chemistry, Hydrogen ion concen-
tration, Karst hydrology, Groundwater, Petrology,

Laboratory dissolution of Middle Ordovician  rock samples from central Pennsylvania
was studied at 23C and 1 atm carbon dioxide  pressure.  Carbonate dissolution rates
were compared at 22% bicarbonate saturation  with respect to both calcite and dolo-
mite.  The results showed that carbonate lithology exerts a strong influence on
the dissolution rate and hence, on the degree of cavity development in karst
aquifers.  The dissolution rate is affected  most significantly by dolomite and
impurity content.  The rate decreases as percentages of dolomite and disseminated
insolubles increase.  Maximum dissolution rates occur  for carbonate rocks with
1.0-2.5% MgO content and with abundant silty streaks.  The sparite content is
related inversely to cave development but is independent of dissolution rates
measured under the laboratory conditions adopted in this study.
                                        115

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77 :02K-003
ESTIMATED ASSOCIATION CONSTANTS FOR SOME COMPLEXES OF TRACE METALS WITH INORGANIC
LIGANDS,
Mattigod, S.V., and Sposito, G.
California University, Department of Soil and Environmental Science, Riverside,
California   92521.
Soil Science Society of America Journal, Vol. 41, No. 6, p 1092-1097, November-
December, 1977.  3 fig, 3 tab, 60 ref,  9 equ.

Descriptors:  Soils, Soil investigations, Model studies, Heavy metals, Soil
chemistry.

Chemical equilibrium studies of trace rnetals in soils by an ion-association model
require reliable data on thermodynamic association constants for various metal-
ligand complexes.  Therefore, available experimental data at 25 C were compiled
for complexes of the transition metal cations Mn2+, Fe2+, Ni2+, Cu2+, and Zn2+
with the ligands C03(2-), HCo3(-), S04(2-), HS04(-), P04(3-), HP04  (2-), H2P04(-),
Cl(-), and OH(-).  However, experimental values of the thermodynamic association
constants for many of the complexes were not available.  This lack of information
was alleviated by employing the theoretical model of Kester and Pykowicz and the
semiempirical models of Nieboer and McBryde, and Van Panthaleon Van Eck to make
estimates of the as yet unmeasured association constants.  These estimated con-
stants were tabulated in a compact form along with the experimental values.  This
compilation of 100 association constants, although provisional, should prove help-
ful in a variety of studies on trace metal equilibria in soils until more reliable
experimental data become available.


77:O2K-004
SULFURIC ACID AS AN AMENDMENT FOR RECLAIMING SOILS HIGH IN BORON,
Prather,  R.J.
United States Salinity Laboratory, Post Office Box 672, Riverside, California
92502.
Soil Science Society of America Journal, Vol. 41, No. 6, p 1098-1101, November-
December, 1977.  1 fig, 3 tab, 29 ref.
(See 77:026-154)


77:02K-005
NITRATE IN EFFLUENTS FROM IRRIGATED LANDS (ANNUAL REPORT),
Pratt, P.F., Biggar, J.W., Broadbent, F.E., et al,
Research Applied to National Needs, National Science Foundation, Washington,
D.C.  20550.
Publication No. PB-275 673, July 1977,   91 p, 13 fig, 17 tab, 14 ref.

Descriptors:  Nitrates, Nitrification,  Chemical reactions, Denitrification,
Irrigated land, Effluents, Irrigation,  Nitrogen, Soil-water-plant relationships,
Soil properties.

This report presents progress in the development of technologies for measurements
of NO(-)3 leaching and denitrification and in our understanding of the factors
that influence the quantities of nitrogen that go into various sinks.  Research
on various aspects of the nitrogen cycle in the soil-plant-water system are dis-
cussed, including:  (1) nitrogen transformations with particular emphasis on
denitrification; (.2) crop utilization of nitrogen;  (3) incorporation of nitrogen
into and  cycling in soil organic matter; (4) fluxes of water through the root
zone;  and (5)  effects of soil profile properties on nitrogen leaching and denitri-
fication.
                                        116

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                                   SECTION  X


                                   WATER CYCLE

                              ESTUARIES (GROUP 02L)


77:02L-001
CROP TEMPERATURE REVEALS STRESS,
Jackson, R.D.,  Idso, S.B., Reginato, R.J,, Ehrler, W.L.
Agricultural Research Service, Water Conservation Laboratory, Phoenix, Arizona,
Crops and Soils, Vol. 29, No. 8, p 10-13, June-July, 1977,  5 fig.

Descriptors:  *Crop response, *Temperature, *Moisture stress, *Instrumentation,
Crop production. Air temperature, Irrigation practices, Transpiration, Evapora-
tion, Canopy, Satellites  (artificial), Data collections, Farm management, Soil-
water-plant relationships.

A plant with adequate soil moisture is able to transpire water and keep its
leaves cooler than the surrounding air temperature; leaves transpire less and
grow warmer as moisture becomes scarce.  A thermal scanning device to measure
crop stress has been developed; present and future technology of this type is
described.  Infrared thermometers can indirectly measure surface temperatures
by measuring the radiant thermal energy emitted from a leaf surface.  To calcu-
late the stress degree day figure, a farmer measures the temperature of the crop
canopy and the air just above the crop an hour or so after solar noon.  Readings
from aircraft or satellites require two measuring times, one just before dawn
for the minimum air temperature and one after noon for the maximum.  Results
of measurements from several crops indicate that as the midday canopy temperature
increases in comparison to the midday air temperature above the canopy, moisture
stress increases and crop yield declines.  Application of the results is out-
lined .
                                        117

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                                    SECTION  XI


                   WATER SUPPLY AUGMENTATION AND CONSERVATION

                       SALINE WATER CONVERSION (GROUP 03A)


77:03A-001
AN ASSESSMENT OF IRRIGATION EFFICIENCIES AND DRAINAGE RETURN FLOWS FROM THE
WELLTON-MOHAWK DIVISION OF THE GILA PROJECT,
Krull, D.L.,  and Clark, D.L.
United States Department of the Interior, Bureau of Reclamation, Yuma Projects
Office, Yuma, Arizona.
Proceedings of National Conference on Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado, p 335-348, May 16-19, 1977,
5 fig, 4 ref.

Descriptors:   Desalination, Arizona, Irrigation efficiencies, Drainage, Return
flows, Drainage water, Irrigation.

Public Law 93-320 authorized the construction of a large desalting plant to
enable the United States to comply with its obligation under the agreement with
Mexico of August 30, 1973  (Minute No. 242 of the International Boundary and
Water Commission, United States and Mexico),  The desalting plant will be con-
structed to treat the drainage waters from the Wellton-Mohawk Division of the
Gila Project so these waters will be available for delivery to Mexico under the
1944 Mexican Water Treaty and Minute No, 242,  By reducing the volume of drainage
flows, the size of the desalting plant can be reduced.  An interagency committee
was established to determine and implement means of increasing irrigation effi-
ciencies so as to reduce drainage return flows to the lowest practical volume
and to identify an optimal economic solution relating desalting costs to specified
irrigation efficiency levels.  An assessment was made utilizing the water budget
process to determine the relationship between increased irrigation efficiency
levels and drainage return flows.
                                        118

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                                     SECTION XII


                   WATER SUPPLY AUGMENTATION AND CONSERVATION

                       WATER YIELD IMPROVEMENT  (GROUP 03B)


77:03B-001
AUGMENTING SUMMER STREAMFLOW BY USE OF A SILICONS ANTITRANSPIRANT,
Belt, G.H.,  King, J.G., and Haupt, H.F.,
Idaho University, College of Forestry, Wildlife and Range Sciences, Moscow,
Idaho.
Water Resources Research, Vol. 13, No. 2, p  267-272, April 1977.  4 fig, 1 tab,
20 ref.

Descriptors:  *Streamflow, *Transpiration control, *Idaho, Emulsions,  Aqueous
solutions, Transpiration, Soil water, Watersheds  (.basins), Regression  analysis,
Seasonal, Summer, Spraying.

A 65-acre (26.3-ha) cedar-hemlock catchment  in  northern  Idaho was sprayed with a
5% aqueous emulsion of silicone soil to reduce  transpiration.  The antitranspirant,
Dow Corning XEF-4-3561, was applied by helicopter at the rate of 40 gal/acre
(375 1/ha).   From June 1 to September 15, 1974, streamflow, soil water, and leaf
water potential were monitored on the 65-acre  (26,3 ha)  treated watershed and
on an adjacent 50-acre (20.2 ha) control watershed.  By  using the paired water-
shed method with regression equations based  on  6 years of pretreatment data,
predicted and observed streamflow were obtained for the  period June 1  to Septem-
ber 15.  Differences between predicted and observed streamflow were compared by
using the paired "t" test and were found to  be  significant at the 97.5% confi-
dence level.  During a 63-day period, a 12%  increase in  streamflow resulted from
the antitranspirant application.  During the same period, soil water storage
was greater on the treated watershed than on the control watershed; however,
the difference was not statistically significant.  Seasonal leaf water potential
in cedar indicated that stress was greater on the control watershed than on the
treated watershed.  Systematic differences in leaf potential for hemlock did
not occur.
                                         119

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                                    SECTION XIII


                   WATER SUPPLY AUGMENTATION AND CONSERVATION

                  USE OF WATER OF IMPAIRED QUALITY (GROUP 03C)
77:03C-001
INFLUENCE OF SEED PRETREATMENTS ON SALT TOLERANCE OF COTTON DURING GERMINATION,
Channon, M.C., and Francois,  L.E,
Agricultural Research Service,  Salinity Laboratory,  Riverside, California.
Agronomy Journal, Vol. 69, No.  4,  p 619-622,  July-August,  1977.  3 fig, 1 tab,
20 ref.

Descriptors:  *Seed treatment,  *Salt tolerance,  *Germination, *Cotton, *Saline
soils, Salinity, Arid lands.  Salts, Sodium chloride, Saline water, Seeds, Irri-
gated land, Crop production,  Irrigation water,  Irrigation, Stress, Soil-water-
plant relationships, Semiarid climates,

A study was conducted to determine if various seed pretreatments could increase
the salt tolerance of a commercial variety of long-staple  cotton  (Gossypium
barbadense L.).  Salts, phytohormones, and adenosine monophosphate were used in
twelve pretreatments  (including a dry control and a distilled water control),
and their effectiveness tested by germinating the seeds in single and mixed
salts of NaCl and CaC12, as well as distilled water.  No evidence was found that
pretreatment increases salt tolerance during germination.   The beneficial effects
seem limited to water pretreatment which hastened the germination of seed by one
day over dry controls.  A single four-hour soaking was optimal.  This is hardly
noteworthy under optimum field conditions, but under stress conditions it may
be significant.


77:03C-002
OPTIMIZING CROP PRODUCTION THROUGH CONTROL OF WATER AND SALINITY LEVELS IN THE
SOIL,
Stewart, J.I., Hagan, R.M,, Hanks, R.J., Franklin, W.T., and Pruitt, W.O.
Utah Center for Water Resources Research, and Consortium for International
Development, Logan, Utah.
Available from the National Technical Information Service, Springfield, Virginia
22161 as PB-275 466, Utah Water Research Laboratory, Logan, Utah. Publication
PRWG151-1, September 1977, 191 p, 71 fig, 10 tab, 21 ref,  7 append.

Descriptors:  *0ptimization,  *Crop production,  *Soil water, *Salinity, *Irrigation,
*Soil moisture, *Water management  (applied), Saline water, Soil analysis, Plant
growth, Moisture content, Root zone, Model studies.

The research was carried out by four universities belonging to the Consortium  for
International Development  (CID) in cooperation with the four Water Research Centers,
Similar field experiments with corn were carried out in 1974 and  1975 at the
University of Arizona  (Yuma Field Station), the University of California  (Davis),
Colorado State University  (Fort Collins), and Utah State University  (Logan),   The
objectives were to develop production functions for estimating how crop yield  is
influenced by different levels of salinity and water supply at different stages of
crop growth, and to formulate and test models for predicting yields  as a function
of water and salinity stress across a broad spectrum of climate and  soil types.
A unique and significant feature of the  study was the establishment  of a suf-
ficient data base to test the transferability of the results, and to accomplish
this feature, the research was conducted on a regional basis with data collection
at the four different locations.  All irrigation was applied with a  line source
sprinkler system, developed in Utah, which gave a continuously variable  amount of
irrigation water on each side of the line.  The maximum evapotranspiration  (ET)
was estimated at all locations and measured with lysimeters at California.   Evapo-
transpiration  (ET) was calculated at all plots as the sum of precipitation,  irri-
gation, and soil water depletion minus drainage  (estimated).  Yields of  dry matter
                                         120

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and grain were measured at the end of each growing season.  This study has
provided an extensive data base on how corn yields respond to moisture defi-
ciency and salinity stress under different soil and climatic conditions.
                                       121

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                                    SECTION XIV


                   WATER SUPPLY AUGMENTATION AND CONSERVATION

                     CONSERVATION IN AGRICULTURE (GROUP 03F)


77:03F-001
METHOD FOR EVALUATING IRRIGATION PROJECTS,
Hogg, B.C., and Vieth, G.R.
Economic Research Service, Natural Resource Economics Division, Washington, D.C.
Journal of the Irrigation and Drainage Division, Proceedings of the American
Society of Civil Engineers, Vol. 103, No. IR1, Proc. Paper No. 12828, p 43-52,
March 1977.  2 fig, 3 tab, 9 ref.

Descriptors:  *Irrigation, *Project feasibility, *Project planning, *Evaluation,
*Crop production, *Return  (monetary), *Methodology,  Agriculture, Cost-benefit
ratio, Evapotranspiration, Prices, Variability, Water distribution (policy),
Optimization, Equations, Systems analysis, Mathematical models, Risks, Hawaii,
Evaporation pans.

A methodology is presented for evaluating irrigation projects by comparing the
performance of alternative system designs over a planning period specified by the
user.  The estimating model is based on a universal  crop production function for
water which is utilized to optimize interzonal water distribution.  A solution is
optimum if:  (1) the value of product resulting from the last unit of water applied
divided by the marginal cost of water (in this case the unit cost) is the same for
all  zones;  (2) the value of product for the last unit of irrigation is not less
than its cost; (3) there can be no negative irrigation levels, i.e., the interzonal
transfer of rainfall; and  (4) the total amount of irrigation water applied does
not  exceed the quantity available.  Project zones are defined by climate, soil,
and  crop produced.  Price and climatic uncertainty are dealt with directly in the
model assuming the probability distribution of the respective variable is known.
The measures of economic viability available for comparing alternative system
designs include:  the benefit/cost ratio, internal rate of return, and net present
worth.  Presented is an illustrative example—a single sugar plantation occupying
multiple climatic zones and operating under conditions of price and climatic
uncertainty-


77:03F-002
MINIMIZING CANAL CAPACITY FOR IRRIGATED RICE,
Hagan, R.E., and Wang, J-K.
Hawaii University, Department of Agricultural Engineering, Honolulu, Hawaii.
Journal of the Irrigation and Drainage Division, Proceedings of the American
Society of Civil Engineers, Vol. 103, No. IR1, Proceedings Paper No. 12821,
p 71-78, March 1977.  3 fig, 3 ref.

Descriptors:  *Canal design, *Irrigati6n, *Rice, *Conveyance structures, Rota-
tional flow, Efficiencies, Surface irrigation, Water demand. Equations, Systems
analysis.

Improved formulas are developed for calculating the maximum canal or pump capa-
city needed for lowland rice rotational irrigation system design.  The conven-
tional and modified conventional formulas are derived from assumptions that
cannot be satisfied during irrigation system operation.  This induces water usage
and management inefficiencies into the system.  Analysis of the conventional
and modified conventional formulas with the rotational irrigation system manage-
ment practices isolates several criteria to be used in integrating design and
operation.   By this integration, irrigation system efficiency is increased.
The maximum capacity given by the improved formulas is smaller than that required
by the conventional and modified conventional formulas.  This allows the use of
smaller canals or an enlargement of the area, or both, serviced by a given water
supply flow rate.


                                       122

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77:03F-003
IRRIGATION SYSTEM OPERATING POLICIES  FOR  MATURE  TEA IN  MALAWI,
Palmer-Jones, R.W.
Institute for Agricultural Research,  Zaria  (.Nigeria)
Water Resources Research, Vol.  13, No.  1, p  1-7,  February  1977.   2  fig,  3  tab,
15 ref.

Descriptors:  Irrigation systems, *Crop  response,  *Soil moisture,  *Dynamic
programming, Optimization, Effects, Rainfall,  Equations, Mathematical models,
Simulation analysis, Systems analysis,  Water supply,  Operations.

The technical specification of  plant-water relationships has  led  to errors in the
formulation of response models  for water  inputs.  Consequently, the optimizing
procedures making use of these  models may have been misleading as to both  the
practical water application rules recommended and the usefulness  of the  optimizing
procedure.  In this paper, it is shown  that  the  distribution  of water within the
root zone, specifically for tea in Malawi, plays an important part  in determining
response to irrigation.  This means that  two or  more soil  moisture  state variables
will be necessary in the dynamic programming (DP) method of finding the  optimal
application policy, and this makes DP even more  difficult  to  use  in practice than
has been previously indicated.  It is shown  that response  to  irrigation  depends
on the amount of water in the uppermost layer of the soil  and that  the effect of
an irrigation on yield is through its effect on  the current level of this  variable
and on its future levels through the  effect  of current  irrigation on the water
contents of lower layers of the soil.  Optimal applications are found to be deter-
mined by two variables:  the water content of the uppermost layer (.30 cm)  and the
water content of the remainder  of the root zone.  The optimal system distribution
policy capacity is found to be  close  to the  level that  would  just replace  the
maximum deficit that could build up in  the uppermost layer between  irrigation
rounds.


77:03F-004
TRICKLE IRRIGATION AND FERTILIZATION  OF TOMATOES IN SAND DUNES]   WATER,  N, AND
P DISTRIBUTIONS IN THE SOIL AND UPTAKE  BY PLANTS,
Bar-Yosef, B,
Agricultural Research Organization, Division of  Soil Chemistry and  Plant Nutrition,
Bet Dagan  (Israel).
Agronomy Journal, Vol. 69, No.  3, p 486-491, May-June,  1977.  1 fig, 11  tab,
8 ref.

Descriptors:  *Irrigation effects, *Fertilization,  *Tomatoes, *Dune sands, *Nu-
trient requirements, Moisture uptake, Soil-water-plant  relationships, Crop pro^
duction, Crop response, Nitrogen, Irrigation practices, Soil  water,- Water  utili-
zation, Root zone, Leaching, Phosphorus.

Various daily rates of water, N, and  P  were  applied through a trickle irrigation
system to  tomato plants  (Lycoperisicum  esculentum Mill,) grown on coastal  dunes
of fine sand in southern Israel.  Fruit yields were greatest  (.about 110  tons/ha)
when the daily average water content  in the  soil root volume  was  around  5%(w/w),
N concentration in the soil solution  140  + or -40 ppm N, and  N uptake rate about
100 mg N/plant/day,  Daily water consumption varied from 0,4  to 1.0 liter/plant/
day, depending on leaf area and climatic  conditions,  In general, water  use ef-
ficiency decreased with time.   The amount of water  used to produce  1 g dry matter
was similar in all treatments  (about  250  + or -40 g water/g d.m.).   Plants ab-
sorbed 30  to 50% of the added N, this low recovery  probably due to  leaching losses.


77:03F-005
A NEW APPROACH FOR ESTIMATING IRRIGATION  CONVEYANCE LOSSES AND THEIR ECONOMIC
EVALUATION,
Palacios,  E.V., and Day, J.C.
Escuela Nacional de Agriculture, Colegio  de  Postgraduados, Chapingo (Mexico).
Water Resources Bulletin, Vol.  13, No.  4, p  709-719,  August 1977.  1 tab,  2 fig,
5 ref.
                                         125

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Descriptors:  *Irrigation systems,  *Canals, *Economic feasibility, Methodology,
Irrigation districts, Mexico,  Statistical methods, Water management (applied),
Networks, Flow, Costs, Benefits, Estimating, Evaluation, Water supply, Water
delivery, Regression analysis, Equations, Mathematical models. Systems analysis.

A new methodology for estimating conveyance efficiency within irrigation systems
is presented.  Based on statistical analysis of daily water releases from the
source of supply and deliveries to the farmers in an irrigation district in Mexico,
a linear model is obtained for estimating conveyance efficiency and two compo-
nent factors.  One of these factors points out the relative importance of the
operational losses (for example, losses due to water management),  and the other
shows the importance of the fixed losses which can be attributed to the average
flow through the canal network without variations.  Next, an analysis of the
expected benefits and costs accruing from system improvement permits derivation
of a decision rule which may be used in analyzing the economic feasibility of
lining in-place canals.  Results show that conveyance efficiency may be signifi-
cantly increased by improving the operating rules in an irrigation system, this
being the cheapest way of attaining the improvement.  However, since many vari-
able factors may affect the economic feasibility of lining canals, careful
studies should be made regarding infiltration rate measurements,  cost of lining,
days of effective operation per year of each canal, etc., before making decisions
regarding the lining of the canal in question.


77:03F-006
REGULATION OF GRAIN YIELD BY PHOTOSYNTHESIS IN MAIZE SUBJECTED TO A WATER
DEFICIENCY,
McPherson, H.G., and Boyer, J.S.
Department of Scientific and Industrial Research, Plant Physiology Division,
Palmerston North  (New Zealand).
Agronomy Journal, Vol. 69, No. 4, p 714-718, July-August, 1977.  6 fig, 1 tab,
30 ref.

Descriptors:  *Photosynthesis, *Moisture deficit, *Crop production, *Translocation,
Corn (field), Crop response, Grains (crops), Moisture uptake, Plant physiology,
Droughts, Plant growth.

Drought causes massive losses in the yield of crops, but the physiological mech-
anisms responsible for decreased yields are poorly understood.  Experiments were
conducted on maize plants to attempt to identify these mechanisms.  The plants
were subjected to a water deficiency during most of the grain filling period.
They were grown in a controlled environment capable of providing yields comparable
to the field.  Grain yields, dry weights of shoots and roots, apparent photosyn-
thesis, and leaf water potential were determined.  The results are presented.  At
low leaf water potentials, the grain developed partly at the expense of photosyn-
thesis accumulated prior to the desiccation period.  Since grain development is
dependent entirely on translocation in maize, this indicated that translocation
continued despite the cessation of apparent photosynthesis,  Translocation is
less inhibited than photosynthesis accumulation for the growing season controls
yield during a drought.


77:03F-007
THE ROLE OF EPA'S OFFICE OF RESEARCH AND DEVELOPMENT IN IRRIGATED CROP PRODUCTION
RESEARCH,
Law, J.P., Jr., and Hornsby, A.G.
United States Environmental Protection Agency, Environmental Research Laboratory,
Office of Research and Development, Ada, Oklahoma.
Proceedings of National Conference on Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado, p 1-6, May 16-19, 1977.
1 fig.

Descriptors:  Water quality control, Water pollution, Irrigation, Irrigated  land,
Water management  (applied). Return flow, Research and development, Agricultural
activities, Wastewater management.

In setting the stage for the conference, the role of the Irrigated Crop Production
research program will be described.  The legislative mandates of PL 92-500 to  EPA
will be reviewed in relation to the charge to control water quality degradation

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resulting from agricultural activities.   The  overall  objectives  of  the  program,
established prior to the passage of PL  92-500,  appear to  be  valid and supportive
of the efforts of the program thus far.   This conference  represents a compendium
of the results of the program's efforts  as  well as  a  hard look at the future
direction the program should take.  Supported research has included technology
development and evaluation of its effectiveness in  water  pollution  abatement
and/or control.  The technology investigated  has included both structural and
nonstructural improvements within the water delivery, farm,  and  water removal
subsystems of irrigated agriculture.  Additional studies  have investigated  the
legal, socio-economic, and/or other institutional constraints to water  manage-
ment reform.  More effort will be required  in these areas.  Current program em-
phasis is evolving into a phase which we are  referring to as implementation re-
search.  Included in this is the preparation  of research-based guidance documents
aimed at providing much needed information  for  those  state agencies responsible
for planning and implementing areawide  wastewater management alternatives involving
nonpoint source agricultural activities. The discussions of this conference
should provide great impetus toward that goal,


77:03F-008
SCIENTIFIC  IRRIGATION SCHEDULING FOR  SALINITY CONTROL OF  IRRIGATION RETURN  FLOW,
Jensen, M.E.
United States Department of Agriculture, Snake  River  Conservation Research  Center,
Kimberly, Idaho.
Proceedings of National Conference on  Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado,  p  133-139, May 16<-19,  1977.
3  tab, 6 ref.

Descriptors:  Model  studies,  Irrigation water,  Leaching,  Return  flow, Irrigation
efficiency, Evapotranspiration.

Basic  principles of  irrigation water  management and irrigation scheduling are
presented.  Commercial  and agency groups expanded rapidly in the 1970*s providing
field-by-field scheduling  services to  over  600,000  acres  in  1976.   The  leaching
fraction used on projects  can effect  return flow quality. Most  leaching  fraction
return flow models hypothetically assume uniform water applications of  exact
quantities  to attain targeted leaching fractions,  The average or effective leach-
ing fraction  for a field is dependent  on the  irrigation uniformity  coefficient.
The effects of nonuniform  water application on  average leaching  fractions will be
presented,  along with the  probable effects  of expected improvements in  irrigation
efficiency  on return flow.  Also, estimates of  the  accuracies  in estimating
evapotranspiration and  measuring water will be  presented. Substantial  improve-
ments  can be made  in irrigation efficiencies  before minimum  leaching fractions are
reached on  most western irrigated projects.


 77:03F-009
DRIP/TRICKLE  IRRIGATION GENERATING  GROWTH,  OPTIMISM,
Ross,  R.
 Irrigation  Age, Vol. 11, No.  3, p  14-16, November^December,  1976.   1 fig,

Descriptors:   *Irrigation  practices,  Irrigation, Irrigation  systems,. Water  con^
 servation,  Irrigation efficiency.

 Irrigation  Age,  in a series of personal interviews  during the  International
Drip Irrigation Association meeting,  spoke  to several representatives of  various
drip/trickle  industry segments.


 77:03F-010
WATER MOVEMENT IN  BARE  AND CROPPED  SOIL UNDER ISOLATED TRICKLE EMITTERS:   I,
ANALYSIS OF BARE SOIL EXPERIMENTS,
Jury,  W.A., and Earl, K.D.
California  University,  Department of  Soil Science and Agricultural  Engineering,
Riverside,  California    92502.
 Soil Science  Society of America Journal, Vol. 41, No. 5,  p 852-856, September<-
October, 1977.   8  fig,  1 tab,  12  ref.
                                         125

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Descriptors:  Hydraulic conductivity, Soil water, Soil water movement, Tensio-
meters, Sampling, Irrigation, Irrigation effects, Irrigation practices, Irriga-
tion systems.

A field experiment on a Buren sandy loam with a low (0.5 centimeters per hour)
saturated hydraulic conductivity is reported in which water movement in soil ir-
rigated from a single isolated trickle emitter was observed.  Water was intro-
duced at a uniform rate of 4 liters per hour and a weekly volume of 84 liters
at frequencies of 3 irrigations per day and 1 irrigation per week. During a
41-day experiment, soil water movement was followed by tensiometers and gravi-
metric water content sampling, and surface ponding was recorded by photography.
It was found that more water moved laterally in the weekly irrigation plots
than in the daily ones, a result which was not consistent with predictions of
simplified theoretical models which did not consider surface ponding.  Observa-
tion of the wetted radius at the surface indicated that substantial amounts of
water were running off laterally during the weekly irrigation, which could
account for the storage changes seen at large radial distances from the emitter.


77:03F-011
WATER MOVEMENT IN BARE AND CROPPED SOIL UNDER ISOLATED TRICKLE EMITTERS:  II.
ANALYSIS OF CROPPED SOIL EXPERIMENTS,
Earl, K.D., and Jury, W.A.
California University, Department of Soil Science and Agricultural Engineering,
Riverside, California   92502.
Soil Science Society of America Journal, Vol. 41, No.  5, p 856-861, September-
October, 1977.  6 fig, 4 tab, 21 ref.

Descriptors:  Hydraulic conductivity, Soil water, Soil water movement, Tensio-
meters, Sampling, Irrigation, Irrigation effects, Irrigation practices, Irrigation
systems, Root systems, Crop response, Evapotranspiration.

Soil moisture and plant root distributions were evaluated when plots of summer
squash were trickle irrigated with two contrasting frequencies of water applica-
tion.  Replicated plots receiving the same total volumes of water were irrigated
three times daily and once weekly, with irrigation volumes adjusted according to
evapotranspiration and tensiometric data.  In the presence of actively growing
zucchini, weekly irrigations produced a greater movement of water both laterally
and vertically downward than daily irrigations.  Plant roots were distributed
according to the wetted volume of soil, with roots of weekly irrigated plots
being more evenly distributed than in daily irrigated plots where roots were con-
centrated beneath the emitter.  The imposition of a water stress demonstrated a
marked increase in root density beneath the emitters as a result of proliferation
of fine root material.  Zucchini yields in the outer ring of weekly irrigated
plants  (100 centimeters from emitter radially) were 30 percent higher than the
most productive daily irrigated plot.  Furthermore, total green matter and dry
matter yields were greater in weekly irrigated plots,


77:03F-012
THE PRODUCTION OF PHYTOTOXINS FROM SURFACE CROP RESIDUES,
Cochran, V.L,, Elliott, L.F., and Papendick, R.I.
United States Department of Agriculture, Agricultural Research Service, Western
Region, Pullman, Washington   99164.
Soil Science Society of America Journal, Vol. 41, No.  5, p 903-908, September*-
October, 1977.  6 fig, 1 tab, 20 ref.

Descriptors:  Crop production. Crop response, Washington, Micro organisms, Blue^
grasses, Soils, Soil investigations, Organic matter.

Experiments were conducted to determine if crop residues, common to eastern Wash-
ington, were likely to cause phytotoxicity problems with no-till planting of
winter wheat.  The possible role of microorganisms was assessed also.  Mats of
pea, wheat, barley, and bluegrass residues were spread over bare soil in September
of 1975.  Water extracts of the residues and soil beneath them were bioassayed
weekly for wheat-seedling phytotoxins and the residues were plated biweekly to
determine the numbers of fungi, bacteria, and pseudomonads from September of 1975
through May 1976.  All residues produced wheat-seedling root inhibitors, but only
after conditions became favorable for microbial growth.
                                       126

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77- 03F-013
THE BIOLOGY AND MODELLING OF FERTILIZER  RESPONSE,
Helyar, K.R., and Godden, D.P.
New South Wales Department of Agriculture, Agricultural  Research  Centre, Depart-
ment of Agronomy, Wollongbar, N.S.W.,  2480.
Journal of the Australian Institute  of Agricultural  Science, Vol   43  No   1  &  2
p 22-30, March-June, 1977.  7 fig, 17  ref, 16  equ, 1 append.

Descriptors:  Nutrients, Fertilizers,  Fertilization, Soil  investigations,  Crop
response, Crop production, Model  studies.

A theory has been presented which can  be used  to account for the  native soil
nutrient status, residual effects of past  fertilizer applications and the  effect
of current fertilizer application on plant yield.  The procedure  enables the
partitioning of fertilizer between inputs  required to balance  losses and inputs
required to build up soil nutrient reserves.   Because of this  feature, a logical
basis for the economic analysis of fertilizer  response and for understanding
the practical significance of observable responses is provided,


77:03F-014
NITROGEN RESPONSES OF TALL FESCUE AND  RYEGRASS SURVIVOR  POPULATIONS FROM A RATE-
OF-NITROGEN EXPERIMENT,
Harris, W., and Lazenby, A.
New England University, Department of  Agronomy and Soil  Science,  Armidale,
New South Wales 2351, Australia.
New Zealand Journal of Agricultural  Research,  Vol. 20, No. 3,  p 327-330, August
1977.   2 tab, 8 ref.

Descriptors:  Nitrogen, Fertilizers, Fertilization,  Nutrients, Crop production,
Crop response, Grasses.

Survivor populations of ryegrass  and tall  fescue from an experiment in which
nitrogen was applied at rates of  0 to  1344 kg/ha/year were tested for nitrogen
response in the range from 0 to 4352 kg  N/ha  in a single application.  Applications
above  544  kg N were supra-optimal and  were totally toxic at 4352  kg N,  There
were no indications of adaptation of the different survivor populations to either
sub-optimal or supra-optimal levels  of nitrogen.


77:03F-015
ISOTOPIC STUDIES ON THE UPTAKE OF SULPHUR  BY  PASTURE PLANTS, I,   A METHOD  FOR  THE
DIRECT  INTRODUCTION OF 35S ISOTOPE INTO  THE SOIL PROFILE UNDER FIELD CONDITIONS,
Goh, K.M., Gregg, P.E.H., Brash,  D.W., and Walker, T.W.
Lincoln College, Department of Soil  Science,  Canterbury, New Zealand.
New Zealand Journal of Agricultural  Research,  Vol. 20, No. 2,  p 221-227, May 1977,
6  fig,  3 tab, 22 ref.

Descriptors:  Isotope studies, Sulphur,  Soil  investigations. Soil profiles,  Pas-
tures,  Pasture management, Root systems, Soil  chemistry, Soil  chemical properties,

A  method for the direct introduction of  35S isotope  into different soil depths
under  field conditions to study the  uptake of  sulphur by pasture  plants is described.
This method was designed to minimize bias  and  contamination during the introduction
of the  isotope.  It involved the  horizontal introduction of the isotope enclosed
in water-soluble capsules.  Recovery of  35S by the pasture plants indicated  that
when 35S was introduced at a depth of  22 centimeters the area  above ground in  which
pasture plants were labeled extended little more than 15 centimeters from  the  line
of placement.  This lateral spread of  35S  in  the pasture plants varied according
to the  soil and the depth of application.  The results may be  explained in terms
of the  extent and nature of root  development  in the  soil profile,

77:03F-016
ISOTOPIC STUDIES ON THE UPTAKE OF SULPHUR  BY  PASTURE PLANTS, II.   UPTAKE FROM
VARIOUS SOIL DEPTHS AT SEVERAL FIELD SITES,
Gregg,  P.E.H., Goh, K.M., and Brash, D.W.
Ministry of Agriculture and Fisheries, Research Division,  Christchurch, New  Zealand,
New Zealand Journal of Agricultural  Research,  Vol. 20, No. 2,  p 229-233, May 1977,
5  tab,  10  ref.
                                          127

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Descriptors:  Isotope studies, Sulphur, Soil investigations, Soil profiles, Pas-
tures, Pasture management, Root systems, Soil chemistry. Soil chemical properties.

On two contrasting soils, Kowai sandy loam (recent soil) and Gorge silt loam  (low-
land yellow-brown earth) in inland Canterbury, New Zealand, plant uptake of 35S-
sulphur placed at various soil depths and also the uptake of associated soil  sul-
phur  (32S) present at the same depths were investigated in developed pastures
under field conditions.  Results from the first harvest in'the spring of 1972 showed
that on both soils white clover and perennial ryegrass plants  used sulphur from all
four depths studied (for example,  7.5,  22.5,  37.5, and 52.5 cm).


77:03F-017
POLICY ALTERNATIVES FOR THE PRESERVATION OF AGRICULTURAL LAND USE,
Lapping, M.B.
Vermont University, Environmental Program and School of Natural Resources,
Burlington, Vermont   05401.
Journal of Environmental Management, Vol. 5,  No. 3, p 275-287, July 1977.  3 tab,
31 ref.

Descriptors:  Agriculture, Land use, Land resources, Land development, Land
classification, Land, Rural area.

Increasing demands for food and fiber are making the retention and preservation
of prime agricultural land a focus of contemporary land policy.  This is a
particular problem in the United States and other industrialized nations where
pressures to convert agricultural land to other uses are strong and sustained.
Various measures and strategies to maintain farmland are examined and critiqued.
The paper concludes with the recommendation that the state or provincial level
of administration can be most effective in the preservation process, and that a
wide  array of programs and strategies is essential to meet local environmental
differences.


77:03F-018
WATER SHORTAGE IN ISRAEL:  LONG-RUN POLICY FOR THE FARM SECTOR,
Gisser, M., and Pohoryles, S.
New Mexico University.- Department of Economics, Albuquerque, New Mexico,
Water Resources Research,  Vol. 13, No. 6, p 865^-872, December 1977.  1 fig,
5 tab, 4 ref.

Descriptors:  *Water shortage, *Incoine, *Linear programming, *Estimating, *Water
allocation  (policy), Agriculture, Water supply, Data, Technology, Economic ef-
ficiency, Constraints, Regions, Mathematical  models, Systems analysis.


In the year 1985, it is expected that Israel will suffer a significant deficit in
its water balance; this country faces a situation of limited water supply and
increasing demands.  Since agriculture uses a large fraction of the available
water, one potential policy is to reduce allocations of water to agriculture  in
order to permit the growth of its use in other sectors.  A linear programming
model is used to estimate the total loss in income to agriculture from reduction
in current allocations; these estimates are to be taken as guideline estimates
only.  Results show that a 10%, 20%, or 301 reduction in water quotas will give
rise  to roughly a 6%, 12%, or 18% reduction in farm income if no technological
change is assumed.  If technological changes are supposed, then the reductions in
agricultural income will be 1%, 7%, and 12%, respectively-  Policy recommendations
are given:   (1) use the extension services to help farmers in the moshavim to
switch from the moshav dairy farm to a large-scale water-efficient kibbutz-type
farm;  (2) provide the loans that would be needed for the above transformation;
(3)  to enhance intrasector efficiency, encourage farmers to trade in water quotas
on the margin, and this would work only if the practice were to  (.4) charge the
real marginal cost on the margin  (the margin should cover  15%-21%).


77:03F-019
WATER TABLE DEPTH AND IRRIGATION EFFECTS ON WATER USE EFFICIENCIES OF THREE CROPS,
Benz, L.C., Reichman, G.A., Doering, E.J., and Follett, R.F.
                                         128

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 United  State's  Department of Agriculture, Agricultural Research Service, Northern
Great Plains Research Center, Mandan, North Dakota.
Presented at the 1977 Annual Meeting of  the American  Society of Agricultural
Engineers, June 26-29, 1977, Raleigh, North Carolina, North Carolina State Univer-
sity, p 1-17. 7 fig, 3 tab, 14 ref.

Descriptors:  Irrigation, Irrigation efficiency, Corn,  Sugar beets, Water table,
Irrigation effects, Irrigation practices, Alfalfa.

Production and applied water-use efficiencies  (AWUE)  of corn,  sugar beets, and
alfalfa from a 3-year field experiment at three water table depths and  four ir-
rigation rates were highest from the shallow water  table treatment without ir-
rigation, regardless of  irrigation  treatment.


77:03F-020
LIMITED TILLAGE SAVES SOIL, WATER,  AND ENERGY,
Allen, R.R., and Pryrear, D.W.
United States Department of Agriculture, Southwestern Great Plains Research
Center, Bushland, Texas.
Presented at the 1977 Annual Meeting, American Society  of Agricultural  Engineers,
June 26-29, 1977, Raleigh, North Carolina, North Carolina State University, p 1-14.
 6 tab, 22 ref.

Descriptors:  Herbicides, Soil conservation, Erosion, Runoff,  Soil moisture, Soil
water, Agriculture, Mulching, Nebraska,  Crop production.

Limited and high cost energy since  1973  has added to  the pressures upon agricultural
production.  This paper  discusses how limited tillage can conserve energy as well
 as soil and water on the Great Plains.   Stubble-mulch tillage, which began on the
 Great Plains for wind erosion control, was the forerunner of present limited til-
 lage systems.  Stubble-mulch reduced annual wind erosion from  6.5 to 2.0 metric
 tons/ha in western Nebraska and increased wheat production by  13 percent at
 Bushland, Texas, while using equal  or less energy than  clean tillage.   Use of
 herbicides, or herbicides plus sweep tillage on fallow,  increased soil  water stor-
 age  and reduced energy use  in Kansas, Nebraska, and Texas.  On sandy soils of the
 Southern Great Plains, crops such as cotton may not leave enough residue to pre-
 vent soil blowing.  This may require additional energy  to spread a mulch such as
 cotton gin trash or perform emergency surface-roughening tillage.  With deep well
 irrigation of crops, energy for tillage  is overshadowed by energy to pump water
 and manufacture fertilizer.  Pumping and fertilizer energy can be 10 to 25 times
 higher than for tillage.


 77:03F-021
 PULSE IRRIGATION—DESIGN. FOR OPERATING SETS,
 Karmeli, D., and Peri, G.
 Colorado State University,  Department of Agricultural Engineering, Fort Collins,
 Colorado.
 Journal of the Irrigation and Drainage Division, Proceedings of the American
 Society of Civil Engineers, Vol. 103, No. IRl, p 33-41, March  1977.  1  fig, 3
 tab, 1 ref.

 Descriptors: Irrigation efficiency, *Pumping, *Design, Operations, Irrigation
 practices, Discharge  (water), Equations, Irrigation systems.

 A process of design for  operating sets with pulse irrigation has been developed.
 The  process allows for an efficient operation and also  adjusts the operating
 sets to the characteristics of the  pulse as formulated  in a previous work.  The
 adjustment expresses itself mainly  in the establishment of the number of stations
 operating with one pulsator and in  the various parameters of the pulse. The
 process allows for the design of a  number of sets and stations when the total
 duration of irrigation and  total number  of valves in  the field are given.  The
 number of sets and stations per set must be established so as  to have identical
 numbers of stations per  set.  The characteristics of  the remaining stations will
 be different as the number  is smaller and the duration  time of operation is
 maximal.
                                         129

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77:03F-022
EFFICIENT AND INEFFICIENT USE OF PHOSPHORUS BY SORGHUM,
Brown, J.C., Clark, R.B., and Jones, W.E.
United States Department of Agriculture, Agricultural Research Service, Plant
Stress Laboratory, Beltsville, Maryland   20705.
Soil Science Society of America Journal, Vol. 41, p 747-750, July-August, 1977,
3 fig, 5 tab, 22 ref.

Descriptors:  Phosphorus, Sorghum, Nutrients, Soils, Crop response, Fertilizers.

Twelve genotypes were grown on acid-Bladen soil  (pH 4.3, P stressed or Al toxic),
on limed-Bladen soil (pH 5.2, Cu stressed), and on alkaline Quinlan soil  (pH 7.5,
Fe stressed!) to determine the effect of P efficiency on use of these elements by
the plants.  Under P-stress or Al-toxicity conditions, the most P-efficient
sorghum genotypes absorbed more 32P than the most P-inefficient lines and grew
normally, while the P-inefficient plants developed P deficiency symptoms.  Under
Fe-stress conditions, the most P-efficient genotypes developed Fe chlorosis,
while the most P inefficient plants remained green.  Under Cu-stress conditions,
one of six genotypes developed severe Cu-deficiency symptoms, characterized by
the accumulation of higher P in the lower leaves, and by lower Fe and Ca in upper
leaves of Cu-stressed plants as compared with Cu-sufficient plants.  Thus, P
efficiency in plants may be an asset when P availability limits growth, but it
may be a liability when these same plants are subjected to Fe or Cu stress.


77:03F-023
EFFECT OF IRRIGATION SYSTEMS ON THE WATER REQUIREMENTS OF SWEET CORN,
Wendt, C.W., Onken, A.B., Wilke, O.C., Hargrove, R., and Bausch, W.
Texas A and M University Agricultural Research and Extension Center, Texas Agricul-
tural Experiment Station, Lubbock, Texas.
Soil Science Society of America Journal, Vol. 41, No. 4, p 785-788, July-August,
1977.  3 fig, 2 tab, 14 ref.

Descriptors:  Irrigation, Irrigation systems, Sprinkler irrigation, Furrow ir-
rigation, Subsurface irrigation, Corn, Evapotranspiration, Tensiometers, Soil
moisture.

A field study was conducted to determine the influence of sprinkler irrigation
 (Sp), furrow irrigation  (F), subirrigation tSu), and automated subirrigation (ASu)
on the water requirements of sweet corn.  Irrigation water was applied to the Sp,
F, and Su plots when the soil water potential at the 30-cm depth in the row reach-
ed -40 cbars potential.  The time and amount of water applied was based on a
combination of leaf area index  (LAI) and potential evapotranspiration  (.ET(p)).
Water application to the ASu plots was controlled by a switching tensiometer 30 cm
deep set at -40 cbars potential.  Soil water content changes were determined by
gravimetrically sampling the surface 15 cm and obtaining neutron probe measure-
ments of water in the deeper depths.  Significant differences existed in the
irrigation water requirement of the sweet corn irrigated by the different sy-
stems (F = 351 mm, SP = 248 mm, Su = 248 mm, ASu = 142 mm),  However, little
difference in consumptive use occurred between systems  (F = 361 mm, Sp = 346 mm,
Su = 346 mm, ASu = 310 mm) due to differences in soil water utilization.  Auto-
mation of irrigation systems offers the possibility of significantly enhancing
irrigation water use efficiency in supplementally irrigated areas,


77:03F-024
MANAGING FARMLAND TO IMPROVE WATER QUALITY,
Morrison, J.
Purdue University, Department of Agricultural Information, West Lafayette,
Indiana   47907.
Journal of Soil and Water Conservation, Vol. 32, No. 5, p 205^208, September^
October, 1977-  3 fig.

Descriptors:  Indiana,  Erosion, Runoff, Water quality, Water quality control,
Watersheds  (basins), Agriculture.
                                        130

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For five years a 12,000-acre watershed  in  the  rich  agricultural  land  of  Indiana's
Maumee Basin has been under intensive study  by researchers  representing  a  variety
of disciplines and interests.  The  project was named  after  Black Creek,  the  area's
major drainageway.  Investigations  have touched on  complex  management, policy,
and scientific issues, but the fundamental questions  are  relatively simple.   1
What is the relationship between  erosion in  the Black Creek watershed and  water-
quality in Black Creek, the Maumee  River,  and  Lake  Erie?  2.  Can a program based
on voluntary participation by landowners,  encouraged  by cost-sharing  incentives,
have much impact on either erosion  or water  quality?


77:03F-025
REGULATORY PROGRAMS FOR NONPOINT  POLLUTION CONTROL:   THE  ROLE OF CONSERVATION
DISTRICTS,
Garner, M.M.
National Association of Conservation Districts, 1025  Vermont Avenue,  N.W.,
Washington, D.C.  20005.
Journal of Soil and Water Conservation, Vol. 32,  No,  5, p 199-204, September-
October, 1977.  4 fig, 32 ref.

Descriptors:  Water quality, Water  quality management, Water pollution,  Water
pollution control, Water conservation.

Conservation districts are in a unique  position to  play a major  role  in  state
and areawide water quality management plans  developed under Section 208  of the
Federal Water Pollution Control Act Amendments of 19.72 (Public Law 92-500).   These
districts, which in most states are local  subdivisions of state  government,
number about 3,000.  They encompass virtually  all the privately  owned land in the
nation, including both rural and  urban  areas.


77:03F-026
CRITERIA AND STRATEGIES FOR MAINTAINING AGRICULTURE AT THE  LOCAL LEVEL,
Derr, D., Small, L., and Dhillon, P.
Rutgers University.- Cook College, Department of Agricultural Economics and
Marketing, New Brunswick, New Jersey    08903,
Journal of Soil and Water Conservation, Vol. 32,  No,  3, p 118-122, May-June,  1977,
3 fig, 13 ref.

Descriptors:  Agriculture, Land use, Land  development, Crop production.  Urbanization,

Until recently, agricultural  land was regarded as a reserve from which land  needed
for other uses could be drawn with  little  regard for  the  impact  on the producti-
vity of the remaining area.  But  the continued decline of agriculture near urban
areas has precipitated concern among people  both in and out of agriculture.


77:03F-027
TECHNOLOGY DEVELOPMENT AND TRANSFER FOR NATURAL RESOURCES MANAGEMENT,
Saxton, K.E.
United States Department of Agriculture, Agricultural Research Service,  Pullman,
Washington.
Journal of Soil and Water Conservation, Vol. 32,  No,  3, p 123-125, May-June,  1977.
1 fig, 9 ref.

Descriptors:  Technology, Natural resources, Agriculture, Economics,  Environmental
control.

Conservationists, engineers, and  planners  are  experts in  applying technology  to
achieve efficient natural resource  use  and safe,  dependable structures.  The  tech-
nology they use represents years  of experience and  research.   But as  these pro-
fessionals know, current technology must be  refined or replaced  with  improved
concepts and procedures if we are to achieve and  maintain a cleaner environment,
economical farming with sustained high  yields, and  effective conservation  practices.
                                         131

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77:03F-028
DRIP SYSTEM EVALUATION,
Davids, G.
Harza Agricultural Services, Department of Agricultural Engineering.
Drip/Trickle Irrigation, Vol. 2, No. 2, p 20-21, March-April, 1977.

Descriptors:  Irrigation systems, Irrigation efficiency, Irrigation practices,
Uniformity, Uniformity coefficient, Soil moisture.

In maintaining a soil moisture budget for any irrigation unit, one of the es-
sential pieces of input data is the net irrigation amount.  When an irrigator
operates his system, it is essential to determine the net or effective irriga-
tion depth applied as accurately as possible.  All drip/trickle systems should
have metering devices to measure flow volume or rates, so the gross irrigation
amount is easily verified.


77:03F-029
INSTALLATION OF DRIP IRRIGATION FOR ROW CROPS,
Chapin, R.
Chapin Watermatics, Post Office Box 298, Watertown, New York   13601.
Drip/Trickle Irrigation, Vol. 2, No. 2, p 9-11, March-April, 1977,  6 fig.

Descriptors:  Irrigation systems, Irrigation practices, Crop production, Sub-
surface irrigation. Field crops, Irrigation design.

The installation of drip irrigation for row crops differs somewhat from that of
orchards for three reasons.  First, the rows are closer together and consequently
require many more drip lines per acre.  Second, with row crops much of the equip-
ment is moved out of the field between crops; however, in orchards, it remains
in the field permanently.  Third, usually the submains are buried, and the drip
lines themselves may either be buried, or on the surface,  Ori a typical instal-
lation, row length may be 1,200 feet or more,


77:O3F-030
MINIMUM SCREENING AND AUTOMATIC FLUSHING,
Shearer, M.N.
Oregon State University, Department of Extension Irrigation, Corvallis, Oregon.
Drip/Trickle Irrigation, Vol. 2, No. 2, p 14-16, March-April, 1977.  5 fig, 1 tab.

Descriptors:  Filtration, Irrigation systems, Irrigation practices, Irrigation
water, Organic matter, Suspended solids, Surface water, Automation,

We previously reported the success Dr. Mellenthin had at the Hood River Experiment
Station in avoiding emitter plugging by using a self-cleaning, 200 mesh screen
and weekly flushing of laterals by hand.  Although organic matter was present in
the ditch water, only 1 1/2% of the solid material flushed from the laterals was
organic.  This year a variety of emitters were again used at the station with no
apparent plugging problems, except for microtube emitters, which exhibited vary-
ing degrees of flow reduction.  However, labor to flush the individual laterals
was still a problem.


77:03F-031
ASSESSING PHOSPHORUS FERTILIZER NEEDS BASED ON INTENSITY-CAPACITY RELATIONSHIPS,
Lee, Y.S., and Bartlett, R,J.
Vermont University, Department of Plant and Soil Science, Burlington, Vermont
05401.
Soil Science Society of America Journal, Vol. 41, No. 4, p 710-712, July-August,
1977.   4 fig, 12 ref.

Descriptors:  Phosphorus, Fertilizers, Fertilization, Soils, Soil investigations,
Crop response, Nutrients.

Phosphorus in a pH 4.8 NH40Ac soil extract, through crop response correlation
work,  may indicate the degree to which a level of P in a given soil is optimum.
But, being an intensity measurement, this NH40AC-P value does not indicate the
amount of P fertilizer needed to bring a soil, which has a particular P sorption
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capacity, to its optimum level.  The  relationship  between  added  P  and  the  square
root of the NH40AC-P, measured after  incubation  of a  given acid  or limed soil,
was a straight line with a characteristic  slope  for that soil.   The value  of  this
slope, termed the Phosphorus Fertilizer  Index  (PFI),  showed a high correlation
with the amount of Al extracted by pH 4,8  NH40AC tsq  r  = 0.94),  Inclusion of
soil chemical characteristics other than Al  in the calculation did not improve
the P intensity-capacity relationships significantly.


77:03F-032
AMMONIUM EFFECTS ON NUTRIENT CATION ABSORPTION BY  WHEAT,
Cox, W.J., and Reisenauer, H.M.
Department of Agriculture, South Perth,  Western  Australia   6151,
Agronomy Journal, Vol.  69, No. 5, p 868-871,  September-October,  1977   1 fig, 3
tab, 18 ref.

Descriptors:  Nutrients, Fertilizers, Fertilization,  Cations, Absorption,  Wheat,
Nitrogen, Potassium, Calcium, Zinc, Magnesium, Manganese,

Additions of small amounts of NH4 to  adequate  (,-)N03  culture have  been shown  to
increase crop yield and total N content, and  to  decrease the plant's content  of
metal cations.  The magnitudes of these  effects  can be  appreciable. Accordingly,
experiments were done to elucidate their mechanisms,  and to evaluate their roles
in crop production.  Wheat was grown  in  the  greenhouse  in  dilute constant-composi-
tion cultures that supplied, in factorial  combination,  three levels of NH4 with
four levels of either K, Ca, Mg, Mn,  or  Zn,   Intake of  mineral cations increased
with the concentration  of the ion in  solution  and  was decreased  by added NH4.


77:03F-033
SUGAR CANE GROWTH IN RESPONSE TO MULCH AND FERTILIZER ON SALINE-ALKALI SUBSOILS,
Eavis, B.W., and Cumberbatch, E.R.St.J.
Ministry of Overseas Development, Department of  Soil  Physics, United Kingdom.
Agronomy Journal, Vol.  69, No. 5, p 839-842,  September-October,  1977,   2 fig,
2  tab, 8 ref.

Descriptors:  Mulches,  Sugar cane, Crop  response,  Crop  production, Fertilizers,
Fertilization, Nutrients, Salinity, Subsoils,  Leaching, Land reclamation.

In many  parts of the world where salinity  or alkalinity limit crop yields, leaching
is impracticable.  In Barbados saline-alkali subsoils remained unproductive six
years after they were exposed during  earth-moving  operations.  The objective  of
this  study was to devise agronomic techniques  to restore these lands to sugar cane
production.  The effects of mulching  and N-K fertilization were  studied.   Factorial
field experiments in which bare plots and  plots  mulched .with cut grass were treated
with  fertilizer at three rates were carried  out  at two  locations (sandy clay
and clay soil, respectively) .  Sugar cane tillers and  soil  moisture contents were
measured weekly, and root development fortnightly. After  9 months of  growth,
bare plots failed to produce any marketable  yield  in  contrast to mulched plots
which gave up tcr 53 metric tons/ha  (sandy  clay)  and 118 tons/ha  (clay), There
were no  responses to fertilizer rate  on  bare land, but  on  mulched  land 1,2 times
 (sandy clay) and 2.2 times  (clay), more yield resulted from the high compared  with
the low  fertilizer rate.


77:03F-034
GROWTH AND YIELD OF SPRING WHEAT AS INFLUENCED BY  SHELTER  AND SOIL WATER,
Frank, A.B., Harris, D.G., and Willis, W.O.
Northern Great Plains Research Center, Department  of  Plant Science, Mandan,
North Dakota  58554.
Agronomy Journal, Vol.  69, No. 6, p 903-906,  November-December,  1977.   1 fig,
 6  tab, 20 ref.

Descriptors:  Windbreaks, Wheat, Irrigation,  Irrigation effects, Crop  production,
Crop  response, Soil water, Wind velocity,  Leaves.

In the Northern Great Plains, windbreaks have historically been  used to protect
crops and soils from winds, but data  on  the  effects of  windbreaks  on growth and
yield of small grains is limited.   "Waldron" wheat was  grown on  Parshall fine
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sandy loam with and without shelter (slat-fence enclosures), both with and with-
out irrigation, to determine the effects of soil water and  shelter on wheat growth
and yield.  In 1973 and 1974, plant height, tiller production, leaf area index,
specific leaf weight, and dry matter were measured at tillering, heading, and grain-
filling growth stages.  Also, grain yield, kernel weight, number of heads, straw
yield, and plant height were measured at crop maturity.


77:03F-035
PLANT WATER RELATIONSHIPS OF SPRING WHEAT AS INFLUENCED BY  SHELTER AND SOIL WATER,
Frank, A.B., Harris, D.G., and Willis, W.O,
Northern Great Plains Research Center, Department of Plant  Science, Mandan, North
Dakota  58554.
Agronomy Journal, Vol. 69, No. 6, p 906-910, November-December, 1977.  6 fig, 1
tab, 19 ref.

Descriptors:  Micro environment, Windbreaks, Wheat, Irrigation, Irrigation effects,
Crop production, Crop response, Soil water, Wind velocity,  Leaves.

Field windbreaks have been planted primarily for soil erosion control; subsequently,
research has shown that windbreaks have an effect on microclimate and on growth
and yield of crops.  Other research has shown that plant water relations respond
to changes in microclimate.  The present work was undertaken to determine the ef-
fect of microclimate changes induced by a slat-fence windbreak on the plant water
relations of field-grown wheat.  Slat-fence barriers were used as windbreaks for
studying effects of shelter-modified microclimate on plant  water relations of
"Waldron" spring wheat, grown on Parshall fine sandy loam under irrigated and dry-
land soil water regimes.  Data were collected on leaf water potential, xylem water
potential, stomatal diffusion resistance, canopy temperature, soil water potential,
soil water extraction, and grain yield,


77:03F-036
TILLAGE EFFECTS ON WINTER WHEAT PRODUCTION WHERE THE IRRIGATED AND DRYLAND CROPS
ARE ALTERNATED,
Unger, P.W.
United States Department of Agriculture, Southwestern Great Plains Research Center,
Bushland, Texas  79012.
Agronomy Journal, Vol. 69, No. 6, p 944-950, November-December, 1977.  2 fig, 5
tab, 11 ref, 3 equ.

Descriptors:  Wheat, Irrigation, Irrigation effects, Crop production, Cultivation,
Crop response, Soil water, Soil moisture, Irrigation efficiency, Dry farming,

While adequately irrigated winter wheat yields are relatively high, dryland wheat
yields in the southern Great Plains are only about 700 kg/ha with continuous
cropping and about 1,000 kg/ha on a harvested area basis after fallow.  This study
was conducted to determine if yields could be increased where irrigated and dry-
land wheat crops are alternated on the same plots.  Tillage effects were also
studied.


77:03F-037
THE DEPENDENCE OF IRRIGATION REQUIREMENTS ON WATER-TABLE DEPTH IN DRAINED LANDS,
Nikolski, Y.N.
Moscow Institute of Hydromelioration, 19 Pryanishnikova Str., Moscow, Union of
Soviet Socialist Republics.
Agricultural Water Management, Vol. 1, No, 2, p 191-196, September 1977.  3 fig,
9 ref, 9 equ.

Descriptors:  Drainage, Drainage effects, Irrigation, Irrigation effects, Water
table, Crop production, Evapotranspiration, Crop response.

The amount of irrigation water required to maintain an optimal average water con-
tent in the root zone for maximum crop yield is dependent on the water-table
depth as well as on evapotranspiration.  An approximate expression is derived in
terms of soil constants for the vertical soil water flux, which may be directed
upwards or downwards, above the water table.  This has been used in a water-balance
equation in order to estimate the irrigation requirement.   Satisfactory agreement
is found between results calculated using this theoretical  relationship and
published experimental work.

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77:03F-038
EVAPORATION IN HIGH LATITUDES,
Rouse, W.R., Mills, P.P., and Steward,  R.B.
McMaster University, Department of Geography,  Hamilton,  Ontario,  Canada.
Water Resources Research, Vol. 13, No.  6,  p  909-914,  December  1977    5  fia
3 tab, 9 ref, 7 equ.                                               *

Descriptors:  Model studies, Temperature,  Evaporation, Latitudinal  studies.

A simplified form of the equilibrium model of  evaporation predicts  evaporation
from six subarctic and tundra surfaces  with  an accuracy  of 8%.   Input data to
the model are net radiation, screen air temperature,  and an evaporability  fac-
tor characteristic of the surface.  The radiation  and energy balances of the
six surfaces are compared.


77:03F-039
ROW SPACING AND DIRECTION EFFECTS ON WATER UPTAKE  CHARACTERISTICS OF  PEANUTS,
Chin Choy, E.W., Stone, J.F., and Garton,  J.E.
Oklahoma State University, Stillwater,  Oklahoma  74074.
Soil Science Society of America Journal, Vol.  41,  No. 2, p 428-432, March-
April, 1977.  5 fig, 2 tab,  14 ref.

Descriptors:  Evapotranspiration, Peanuts, Crop response, Crop production.

Peanuts grown in 30-cm wide, north-south rows, lost less water to evapotranspiration
than those grown in 90-cm rows or than  east-west rows of these spacings.   Plants
grown in 90-cm wide, north-south rows tended to have  the highest water  losses.
The reason for this phenomenon was not  determined, although there is  reason to
believe net radiation is lower in narrow rows  than wide.  Yield of  peanuts was
enhanced by the narrow rows  and no orientation effect on yield was  noted.   Thus,
water-use efficiency was increased by both yield effect  and water conservation
effect.  Peanut quality was  the same for all treatments.  There is  no reason to
believe that the water conserving effect is  unique to peanuts.   Research on
other crops in similar geometries is to be encouraged,


 77:03F-040
THE BROWN-ROSENBERG RESISTANCE MODEL OF CROP EVAPOTRANSPIRATION MODIFIED TESTS
 IN AN IRRIGATED SORGHUM FIELD,
Verma, S.B., and Rosenberg,  N.J.
Nebraska University, Agricultural Meteorology  Section, Department of  Agricultural
Engineering, Institute of Agriculture and  Natural  Resources, Lincoln, Nebraska
 68583.
Agronomy Journal, Vol. 69, No. 2, p 332-335, March-April, 1977.  3  fig, 2  tab,
 16 ref, 6 equ.

 Descriptors:  Model studies, Evapotranspiration, Crop production,. Irrigation,
 Sorghum, Temperatures.

 The Brown-Rosenberg resistance model was modified  to  simplify  its calculation
 and increase its usefulness  for estimating evapotranspiration.   The model  re-
 quires inputs of net radiation, air temperature, and  vapor pressure and canopy
 and boundary layer resistance.  The first  three of these parameters are mea-
 sured.  In the modified version canopy  resistance  is  estimated from a functional
 dependence on irradiance.  The boundary layer  resistance is estimated from a
 functional dependence on windspeed.  The modification was tested in an  irrigated
 sorghum field at Mead, Nebraska.  The model  predictions  generally agreed to
 within 10% on both an hourly and daily  basis,  with direct lysimetric  and Bowen
 ratio-energy balance measurements of evapotranspiration  from the sorghum,


 77:03F-041
 INFLUENCE OF CONSERVATION-TILLAGE ENVIRONMENTS ON  GROWTH AND PRODUCTIVITY  OF CORN,
Mock, J.J., and Erbach, D.C.
 Iowa  State University, Department of Agronomy, Ames,  Iowa.
Agronomy Journal, Vol. 69, No. 3, p 337-340, May-June, 1977.  2 fig,  6  tab, 13  ref.
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Descriptors:  Corn, Crop production, Crop response, Soils,  Soil  investigations,
Soil temperatures.

Research on growth responses of corn to environmental conditions  associated  with
conservation-tillage systems has not been extensively conducted.   Therefore,
the objectives of this study were to evaluate effects of various  tillage  systems
 (fall moldboard plow, till-plant, no-till ridge with and without  previous-crop
residue) and early planting on growth and productivity of several corn  genotypes
 (including two heterogeneous breeding populations that were improved  for  cold
tolerance by recurrent selection).  The experiment was conducted  for  2  years on
a  loam  soil, and planting dates were April 1, 1974, and April  30,  1975.   Conser-
vation-tillage systems were associated with lower midafternoon soil temperatures
during  the early growing season and more variability in depth of  seed placement.
Also, seedling and juvenile plant growth, final plant densities,  and  grain yields
were lower in conservation-tillage systems.  These differences were accentuated
in the  early planting environment of the 1974 experiment.  With a relatively
normal  planting date and equal final plant densities (the environment of  the
1975 experiment), grain yields were not affected by tillage treatment.  There was
no interaction between tillage method and corn genotype.  In the  central  United
States  Corn Belt, therefore, optimum corn grain yields in conservation-tillage
environments will be obtained by the use of planters that assure  uniform  seed
depth and genotypes that display vigorous plant growth and development.


77:03F-042
ONION-SEED YIELD AND QUALITY AS AFFECTED BY IRRIGATION MANAGEMENT,
Brown,  M.J., Wright, J.L,, and Kohl, R,A.
Snake River Conservation Research Center, Kimberly, Idaho  83341,
Agronomy Journal, Vol. 69, No. 3, p 369-372, May-June, 1977.  1 fig,  2  tab, 15 ref.

Descriptors:  Onions, Crop production, Crop response, Irrigation,  Irrigation
effects, Irrigation practices, Soil moisture, Soil water, Idaho,  Furrow irrigation,
Tensiometers, Germination.

The effects of soil moisture, sprinkler irrigation, and misting on hybrid onion-
seed production were evaluated at Kimberly, Idaho,  Sprinkling and misting treat-
ments were included to determine if sprinkler irrigation could be used  for onion-
seed production, and if evaporative cooling (misting) would alleviate the scalding
of umbels at excessively high temperatures.  Results showed that  reasonable
onion-seed yields could be obtained with sprinkler irrigation in  spite  of antici-
pated adverse effects on pollination.  In areas with high daytime temperatures,
misting could be used to cool the umbels, as much as 15 C for about 20  min.f
although it does not seem necessary for the low 32 to 35 C daytime temperatures
at Kimberly.   The highest onion-seed yields were obtained with the furrow-irrigation
treatment where water was applied when tensiometers at 20-cm depth read about
0.5 bar soil moisture tension (furrow adequate).


77:03F-043
COMPREHENSIVE NITROGEN FERTILIZER MANAGEMENT MODEL FOR WINTER WHEAT,
Jackson, G.D.,  and Sims,  J.R.
Montana State University, Montana Cooperative Service,  Bozeman, Montana  59715.
Agronomy Journal,  Vol.  69,  No.  3, p 373-377, May-June,  1977.  8 tab, 24 ref.

Descriptors:   Nitrogen,  Fertilizers,  Fertilization, Model studies, Wheat, Montana,
Soil properties.  Climates,  Crop production.

Systems for predicting fertilizer N rates on dryland winter wheat in Montana have
needed refinement for several years.   The objective of this study was to develop
a comprehensive N fertilizer management model for dryland winter wheat based on
soil properties and climatic factors.   Data for multiple regression analysis were
gathered from 47 locations representing 4 growing seasons.  A stepwise multiple
linear regression technique was used to generate equations for predicting optimum
grain yield,  grain protein content at optimum yield levels, N fertilizer rate
needed to achieve optimum yield,  post-harvest soil N03(-)N in surface 30 cm of
soil,  and grain yield and protein content without N fertilization.
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77:03F-044
PEANUT SEED GERMINATION AS RELATED TO SOIL WATER  REGIME  DURING  POD  DEVELOPMENT,
Pallas, J.E. Jr., Stansell, J.R., and Bruce,  R.R.
United States Department of Agriculture, Agricultural  Research  Service,
Watkinsville, Georgia  31794.
Agronomy Journal, Vol. 69, No.  3, p  381-383,  May-June, 1977.  2 tab,  7 ref.

Descriptors:  Crop production,  Crop  response,  Peanuts, Germination, Soil moisture,
Soil water. Irrigation, Irrigation practices.

The problem of poor peanut seed germination has appeared to  follow  exceptionally
dry years in Georgia; consequently,  the  interaction  of soil  water availability
during the growing season and subsequent seed germination were  studied.  These
results are a composite of four years of study under controlled rainfall shelters
on Tifton loamy sand, a member  of the fine-loamy,  siliceous,  thermic  Plinthic
Paleudults, at six soil water levels.  Soil water  levels involved irrigation at
specified soil water tensions in surface 30 or 60  cm.  Soil  water tension  ranged
from + 0.2 to greater than 15 bar.   Good germination of  all  varieties was
obtained when the average soil  water tension  in the  surface  30  cm was maintained
at less than 0.6 bars.  On the  other hand, allowing  "Florigiant" to reach  a soil
water tension greater than 15 bars during the growing  season lowered  its per-
centage of sound mature kernels 34 percent.


77:03F-045
NITROGEN AND CHLORIDE UPTAKE BY IRRIGATED RUSSET  BURBANK POTATOES,
Saffigna, P.G., and Keeney, D.R.
Wisconsin University, Department of  Soil Science,  Madison, Wisconsin  53706.
Agronomy Journal, Vol. 69, No.  2, p  258-264,  March-April, 1977.  1  fig, 7  tab,
20 ref.

Descriptors:  Potatoes, Crop production, Wisconsin,  Nitrogen, Chlorides, Nutrients,
Fertilizers, Fertilization, Irrigation,  Leaching.

Potato production has become a  major agricultural  enterprise in the central sand
plain of Wisconsin.  However, little information  is  available on the  effects of
irrigation and fertilization practices on dry matter and N accumulation.   This
field  study was established to  determine the  effect  of reducing irrigation and
fertilizer N on the dry matter, and  the  N and Cl  in  potatoes grown .'.on a Plainfield
loamy  sand.  Two basic treatments were used.   The  conventional  treatment approxi-
mated  current recommendations for irrigated potatoes and received 260 kg N/ha  (as
NH4N03) in four applications and 45  cm irrigation  as 2.4 cm  applications every 5
days.  The improved treatment was intended to minimize leaching of  N03(-)N.  It
received 170 kg N/ha in 10 applications  (one  as S-coated urea and nine as  NH4N03)
and 27.0 cm irrigation as 1.0 cm applications every  3 days.   Chloride (as  KC1)
accompanied N on a 1:1 weight basis.  Plants  were  sampled weekly and  analyzed for
dry matter, total N, N03(-)N, and Cl.


77:03F-046
INFLUENCE OF THREE SOIL-WATER REGIMES ON ROOT POROSITY AND GROWTH OF  FOUR  RICE
VARIETIES,
Das, O.K., and Jat, R.L.
Indian Agricultural Research Institute,  National Bureau  of Soil Survey and Land
Dse Planning, New Delhi, India.
Agronomy Journal, Vol. 69, No.  2, p  197-200,  March-April, 1977.  4  fig., .2  tab,
20 ref.

Descriptors:  Soil moisture, Soil water, Root systems. Root  development, Rice,
Saturated soils. Crop production.

A better understanding of the growth response of  rice  to waterlogged  soil  conditions
is desirable.  The objective of this study was to  measure the influence of soil
water regime on root porosity,  growth, and nutrient  content  of  four varieties of
rice at various dates after transplanting.  Four  rice varieties were  grown under
three soil water regimes (continuous flooding, alternate flooding,  and no  flooding)
in a greenhouse on a clay loam  soil.  Root porosity, growth  of  plants and  nutrient
(N, P, K, Ca, and Mg) content of shoots  were  determined  at four different  plant
ages (30, 60, 85, and 110 days  after transplanting).   Root porosity was greatest
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in plants grown with continuous flooding.  Porosity of roots in all four varieties
reached maximum values between 30 and 60 days and then started to decline.  Padma
and BC6 had higher root porosities than IRS and IR22.  High root porosity was
associated with greater root length, increased dry weight of roots and shoots,
and higher nutrient content in shoots.


77:03F-047
YIELDS AND NUTRIENT ACCUMULATION BY DETERMINATE SOYBEANS, AS AFFECTED BY APPLIED
NUTRIENTS,
Terman, G.L.
National Fertilizer Development Center, Soils and Fertilizer Research Branch,
Tennessee Valley Authority, Muscle Shoals, Alabama  35660.
Agronomy Journal, Vol. 69, No. 2, p 234-238, March-April, 1977.  2 fig, 5 tab,
12 ref.

Descriptors:  Fertilizers, Fertilization, Soybeans, Nutrients, Crop response,
Crop production.

Most published results with southern determinate soybeans are concerned with only
a single fertilizer treatment and/or one or two sampling dates.  Consequently,
field experiments were conducted to determine effects of applied N and K on dry
matter yields, nutrient concentrations, and nutrient uptake at several sampling
dates and on final grain yields.  Rates of 0, 86, and 172 kg of applied K/ha and
0 and 70 kg of N were compared in a field experiment on Sango sil in 1973 and
K rates of 0, 75, and 150 kg/ha in 1974.  Marked responses to applied K were
obtained.  Maximum dry matter yields and nutrient uptake occurred during the
early pod filling stage of growth.  Dry matter yields then declined as a result
of greater loss of leaf and petiole drop than of increase in grain filling.  Con-
centrations of K in leaves, topgrowth, and grain increased with amount of applied
K, but top trifoliate leaf blade concentrations were lower than some published
recommended levels for high yields.  Marked reciprocal relationships occurred
among concentrations of K and Ca or Mg in top trifoliate leaves and topgrowth.
Several combinations of N, P, K, and S foliar- and soil-applied during pod
filling were also compared in 1976 pot experiment on Sango sil.  Grain yields
and concentrations of each applied nutrient were increased in leaves and grain.
Pod numbers were highly correlated with grain yields.


77:03F-048
CONSERVATION TILLAGE IN THE PACIFIC NORTHWEST,
Papendick, R.I., and Miller, D.E.
United States Department of Agriculture, Agricultural Research Service, Pullman,
Washington  99164.
Journal of Soil and Water Conservation, Vol. 32, No. 1, p 49-56, January-February,
1977.  4 fig, 1 tab, 49 ref.

Descriptors:  Crop production, Soil erosion, Water conservation, Runoff, Soil
surface, Soil properties, Soil management, Land resources, Agriculture.

Despite years of research and development, tillage and cropping practices to con-
serve soil and water in the Pacific Northwest have not completely achieved the
goals of efficient water use and soil protection.  Precipitation and irrigation
water still run off, and soil losses remain high.  In the Palouse Region, for
example, where the moldboard plow is widely used, erosion is as great as anywhere
in the United States.  There is a trend in many areas to reduced tillage and
surface residue systems.


77:03F-049
DRAINAGE CONTROL TO DIMINISH NITRATE LOSS FROM AGRICULTURAL FIELDS,
Gilliam, J.W., Skaggs, R.W., and Weed, S.B.
North Carolina State University, Department of Soil Science, Raleigh, North
Carolina.
Presented at the 1977 Annual Meeting of the American Society of Agricultural
Engineers, June 26-29, 1977, North Carolina State University, Raleigh, North
Carolina,  p.  1-16.  8 fig, 11 ref.

Descriptors:   Drainage, Nitrates, Agriculture, Drainage effects. Drainage water,
Drainage systems, Nutrients, Nitrogen.
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Flashboard riser type water level control  structures were  installed  in  four tile
mains or outlet ditches at two locations.  Under  controlled  drainage conditions,
there was a large decrease in both nitrate and  drainage water  lost through the
artificial drainage systems.  The effect on  nitrate ultimately entering surface
waters, however, is believed to depend  on  soil  type.


77:03F-050
COMPUTERIZED IRRIGATION SCHEDULING USING NEUTRON  PROBES,
Buchheim, J.F., and Ploss, L.F.
United States Department of the Interior,  Bureau  of Reclamation, Engineering and
Research Center, Denver, Colorado  80225.
Presented at the 1977 Annual Meeting  of the  American Society of Agricultural
Engineers, June 26-29, 1977, North Carolina  State University,  Raleigh,  North
Carolina, p. 1-12.  5 fig, 3 ref, 6 equ.

Descriptors:  Scheduling, Soil moisture, Soil water, Computer  programs.  Irrigation,
Irrigation practices.

The development and evaluation of computer-supported irrigation scheduling are
discussed.  The use of neutron probes is being  initiated in  several  areas to
enhance the scheduling procedure.  The  results  of one  year of  operation using
these  procedures in many areas including an  analysis on an irrigation district
confirmed the practical use of neutron  probes.


77:03F-051
CONSERVATION TILLAGE  IN THE WESTERN CORN BELT,
Amemiya, M.
Iowa State University, Department of  Agronomy,  Ames, Iowa  50011.
Journal of Soil and Water Conservation, Vol.  32,  No. 1, p  29-36, January-February,
1977.   8 tab, 59 ref.

Descriptors:  Crop production, Agriculture,  Soil  erosion,  Soil management, Soil
conservation, Water quality, Erosion.

Fertile soils and favorable climate make the western Corn  Belt-Iowa,  Minnesota,
Missouri, and the humid areas of eastern Nebraska and  eastern  South  Dakota-one of
the world's outstanding grain-producing regions.   For  the  western Corn  Belt to
continue to use its productive soils  and favorable climate to  help meet domestic
and world agricultural needs will depend on  how prudently  the  land resource is
used.   Soil erosion is the dominant limitation  to agriculture  on at  least 30 per-
cent of the region's  cropland, and this cropland's potential contribution to
watershed sediment yield is very high.


77:03F-052
SOIL CONSERVATION ON  AGRICULTURAL LAND: THE CHALLENGE AHEAD,
Davis,  R.M.
United States Department of Agriculture, Soil Conservation Service,  Washington,
D.C.   20250.
Journal of Soil and Water Conservation, Vol.  32,  No. 1, p  5-8, January-February,
1977-   5 ref.

Descriptors:  Agriculture, Soil conservation, Soil management. Crop  production,
Erosion, Soil erosion, Water quality-

Agriculture is a dynamic industry.  Its technology and economics change constantly.
Within this dynamic framework, soil conservationists,  for  more than  four decades
now, have tried to keep one objective clearly in  view: To bring about  improved
soil and water management through a voluntary,  cooperative program with conser-
vation districts and  land users. Today, soil conservationists  still  find themselves
confronted by change  and challenge.


77:03F-053
FUTURE USE OF AGRICULTURAL LAND FOR NONAGRICULTURAL PURPOSES,
Spaulding, B.W., and  Heady, E.G.
Arkansas University,  Department of Agricultural Economics  and  Rural  Sociology,
                                         139

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Fayetteville, Arkansas  72701.
Journal of Soil and Water Conservation, Vol. 32, No. 2, p 88-93, March-April,
1977.  2 fig, 6 tab, 16 ref.

Descriptors:  Agriculture, Urbanization, Land use, Land development, Land
resources, Land management, Land classification.

A procedure to estimate the acreage of agricultural land needed for nonagricultural
purposes in the continental United States to the year 2000 was developed.  The
acreage to be converted by the turn of the century represents a 2.2 percent re-
duction in the nation's existing agricultural land base.  Overall, our nation's
productive capacity in agriculture will not be impaired significantly by this loss
of land to nonagricultural purposes.  However, the impacts will likely be signifi-
cant at state and local levels.


77:03F-054
WHEAT CANOPY TEMPERATURE:  A PRACTICAL TOOL FOR EVALUATING WATER REQUIREMENTS,
Jackson, R.D., Reginato, R.J., and Idso, S.B.
United States Water Conservation Laboratory, United States Department of Agricul-
ture, Agricultural Research Service, Phoenix, Arizona  85040.
Water Resources Research, Vol. 13, No. 3, p 651-656, June 1977.  6 fig, 27 ref.

Descriptors:  Wheat, Temperature, Crop response. Irrigation, Soil water. Soil
moisture, Lysimeters, Evapotranspiration, Irrigation efficiency.

Canopy temperatures were measured on durum wheat grown in six differentially
irrigated plots.  Soil water content was measured by using a neutron-scattering
technique at two locations within each plot.  Water contents, in 20-cm increments
to 160 cm, were determined two to five times per week.  using a sliding cubic
smoothing technique, we calculated daily water contents and thus water depletion
rates for the entire growing season.  Canopy temperatures were measured daily
between 1330 and 1440 hours.  Air temperatures measured at 150 cm above the soil
surface were subtracted from the canopy temperatures to form the difference Tc -
Ta.  The summation of Tc - Ta over time yielded a factor termed the "stress degree
day"  (SDD).  The SDD concept shows promise as an indicator for determining the
times and amounts of irrigations.  An expression relating evapotranspiration  (ET)
to net radiation and Tc - Ta was simplified and tested by using ET measurements
with a lysimeter.  The expression was used to predict water use by wheat in the
six plots.  Predicted ET and measured water used agreed reasonably well.  The
expression may be useful in determining amounts of irrigation water to apply.


77:03F-055
PHOTOSYNTHESIS, TRANSPIRATION, AND LEAF ELONGATION IN CORN SEEDLINGS AT SUBOPTIMAL
SOIL TEMPERATURES,
Barlow, E.W.R., Boersma, L., and Young, J.L.
MacQuarie University, School of Biological Sciences, Sydney, Australia.
Agronomy Journal, Vol. 69, No. 1, p 95-100, January-February, 1977.  7 fig, 33 ref.

Descriptors:  Plant physiology. Crop response. Soil temperatures, Photosynthesis,
Corn, Crop production, Temperature.

The physiology of plant response to low soil temperatures is not well understood.
Laboratory studies were conducted to examine the relative sensitivities of rates
of leaf elongation, net photosynthesis, and transpiration and the leaf water poten-
tial of corn seedlings to decreasing temperature.  These parameters were simul-
taneously monitored, as the soil temperature was decreased from 28 to 10 C at about
4 C increments.  The different soil temperatures were imposed during a 10-hour
period on 14-day-old plants with seven exposed leaves growing at a 27.5 C air
temperature, a 55% relative humidity, and a light intensity of 753 muE/m2/sec.
Any decrease of the soil temperature below 28 C decreased the leaf elongation rate.
This was attributed to restricted water uptake which lowered the plant water po-
tential and to the temperature decrease of the shoot apical meristem region.  Leaf
elongation ceased at the plant water potential of -9 bars due to decline of leaf
turgor pressure.

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77:03F-056
NITROGEN, CHLORIDE, AND WATER BALANCE WITH  IRRIGATED RUSSET BURBANK POTATOES  IN
A SANDY SOIL,
Saffigna, P.G., Keeney, D.R., and  Tanner, C.B.
Queensland Wheat Research  Institute, 13  Holberton Street,  Toowoomba,  Queensland
43500, Australia.
Agronomy Journal, Vol. 69, No.  2,  p  251-257,  March-April,  1977.   3  fig,  6  tab
22 ref.

Descriptors:  Nitrogen, Chlorides, Irrigation,  Irrigation  effects,  Potatoes,
Sands, Sprinkler irrigation, Fertilizers, Fertilization, Groundwater, Wisconsin,
Lysimeters, Irrigation efficiency.

Large applications of sprinkler irrigation  and  N fertilizer have  been implicated
in causing nitrate contamination of  groundwater in central Wisconsin.  Field  and
lysimeter experiments were established in 1972  and 1973  on the Plainsfield loamy
sand to determine the effect of reducing the  amount of sprinkler-irrigation and
fertilizer N on potato tuber yields  and  on  the  field water and N  balance.   Two
main treatments were used.  The conventional  (CON)  treatment received irrigation
water and N fertilizer according to  current recommendations.  The improved (IMP)
treatment received less irrigation water than the CON treatment in  both  years.
A satisfactory mass balance of  water, N  and CI  for potatoes grown in the lysi-
meters was obtained.  Drainage  accounted for  considerable  amounts of the water,-
N, and CI outputs with nearly all  of the remainder going to evapotranspiration
and plant uptake.  The carefully managed IMP  treatment decreased  N03(-)N leaching
from 200 to 120 kg N/ha and lowered  the  overall average  N03(-)N concentration of
the leachate from 23 to 16 mg N03 (-) N/liter.  However,, the additional costs
required to effect a small savings in N  fertilizer is probably not  justified.


77:03F-057
SELECTED IRRIGATION RETURN FLOW QUALITY  ABSTRACTS,  1975,
Skogerboe, G.V., Smith, S.W., and  Walker, W.R.
Colorado State University, Department of Agricultural and  Chemical  Engineering,
Fort Collins, Colorado  80523.
Publication No. EPA-600/2-77-094,  May 1977.   249 p.

Descriptors:  Fertilizers, Irrigated land,  Irrigation systems, Irrigation  water,
Nitrates, Phosphates, Return flow, Salinity,  Water pollution effects. Water
pollution sources, Water quality control.

Research related to the quality of irrigation return flow  is being  conducted  at
numerous institutions throughout the western  United States.   Related work  is  also
underway at other institutions  in  the United  States,  as  well as other portions
of the world.  Approximately 100 sources of material have  been searched  for
articles pertinent to the  National Irrigation Return Flow  Research  and Development
Program.  These articles describe  water  quality problems resulting  from  irrigated
agriculture, potential technological solutions  for controlling return flows,
recent research pertinent  to return  flow investigations, and literature  associated
with institutional constraints  in  irrigation  return flow quality  control.   The
first annual issue of SELECTED  IRRIGATION RETURN FLOW QUALITY ABSTRACTS  covered
publications printed in 1968 and 1969, while  the second  annual issue  lists publi-
cations printed in 1970 and 1971,  the third annual issue covers calendar years
1972 and 1973, and the fourth annual issue  covers literature published in  1974.
This annual issue lists publications printed  in 1975.  This  report  was submitted
in fulfillment of Grant Number  R-800426  under the sponsorship of  the  Office of
Research and Development,  Environmental  Protection Agency-


77:03F-058
SUNFLOWER YIELD AND WATER  USE AS INFLUENCED BY  PLANTING  DATE, POPULATION,  AND
ROW SPACING,
Alessi, J. , Power, J.F., and Zimmerman,  D.C.
United States Department of Agriculture, Northern Great  Plains Research  Center,
Mandan, North Dakota.
Agronomy Journal, Vol. 69, No.  3,  p  465-469,  May-June, 1977.  4 fig,  4 tab, 8 ref.

Descriptors:  Crop response, Crop  production, Temperature,  Agriculture,  North
Dakota.

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Sunflower has only recently been grown commercially as an oilseed crop  in  the drier
regions of the Northern Great Plains.  This study was conducted to acquire pre-
liminary information on seed yield, oil concentration, and water use for oil-type
sunflower as affected by planting date, plant population, and row spacing; and to
obtain an indication how these results were affected by yearly variation in pre-
cipitation and air temperature.


77:03F-059
SHORT-TERM SPRINKLER PATTERNS BY DYE-CONCENTRATION,
McMaster, G.M.
Idaho University, Department of Agricultural Engineering, Aberdeen, Idaho  83210.
Presented at the 1977 Winter Meeting of the American Society of Agricultural
Engineers, December 13-16, 1977, Palmer House Hotel, Chicago, Illinois, p. 1-5.
2 fig, 6 ref.

Descriptors:  Sampling, Sprinklers, Sprinkler irrigation, Irrigation, Irrigation
effects. Irrigation efficiency.

A procedure was tested to determine the sprinkler head pattern resulting from a
few revolutions of the head.  A fluorescent dye, detectable at low concentration
in water, was injected upstream from a sprinkler head.  Precipitation collectors
were charged with a measured volume of water.  The precipitation rate on each
collector was determined by measuring dye concentration with a fluorometer.  Tests
of several time durations were conducted and compared.


77:03F-060
ANALYSIS OF THE DIMENSIONLESS LINEAR CUMULATIVE FREQUENCY DISTRIBUTION OF WATER
DEPTHS UNDER SPRINKLER IRRIGATION,
Karmeli, D., and Peri, G.
Colorado State University, Department of Agricultural and Chemical Engineering,
Fort Collins, Colorado  80523.
Presented at the 1977 Winter Meeting of the American Society of Agricultural
Engineers, December 13-16, 1977, Palmer House Hotel, Chicago, Illinois, p. 1-36.
12 fig, 2 tab, 4 ref, 53 equ.

Descriptors:  Sprinkler irrigation, Irrigation, Model studies, Irrigation effi-
ciency.- Irrigation effects.

The linear regression model is used to describe sprinkler distribution patterns.
The linear fit is found to approximate the distribution very well in a wide range
of experimental data.  The use of the model allows for additional information
regarding irrigation quality parameters.  Associated with the linear regression,
a new coefficient, UCL, is suggested for practical use.


77:03F-061
ALLOCATION PROCEDURE OF FARM RESOURCES IN RELATION TO SOME IRRIGATION QUALITY
PARAMETERS,
Karmeli, D.
Colorado State University, Department of Agricultural and Chemical Engineering,
Fort Collins, Colorado  80523.
Presented at the 1977 Annual Meeting of the American Society of Agricultural
Engineers, June 26-29, 1977, Raleigh, North Carolina State University, p.  1-15.
1 fig, 3 tab, 5 ref.

Descriptors:  Crop production. Agriculture, Irrigation, Irrigation effects, Irri-
gation systems,  Irrigation efficiency, Water allocation.

Land,  water, labor and capital are optimally allocated to crops on a farm, using
a procedure that also relates to irrigation frequency and level of improvement in
the irrigation system.  The procedure is based on formulating outputs and expendi-
tures  as well as the functions of irrigation frequency—water and yield.  The
Generalized Geometric Programming is used to solve the objective function as non-
linear equations are involved.

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77:03F-062
MANAGEMENT OF IRRIGATION STREAM SIZE FOR  IMPROVED  RUNOFF WATER  QUALITY,
Allen, R.G., Busch, J.R., Lewis, G.C., and Fitzsimmons, D.W.
Idaho University, Department of Agricultural Engineering, Moscow,  Idaho.
Presented at the 1977 Winter Meeting of the American Society of Agricultural
Engineers, December, 13-16, 1977, Palmer  House Hotel, Chicago,  Illinois, p. 1-9.
6 fig, 1 tab, 8 ref, 1 equ.

Descriptors:  Irrigation, Runoff, Water quality, Irrigation water. Furrow
irrigation, Erosion, Sediments, Nutrients, Irrigation efficiency.

A study of water quality changes between  applied irrigation water  and runoff for
two furrow irrigated 0.89 ha plots is reported.  Furrow streams on one plot were
cutback to minimize runoff and erosion, and the second plot was used as a control.
Losses of sediment and nutrients from the cutback-irrigated plot were much less
than lost from the control, and the water-use efficiency was 73 percent versus
41 percent for the control.


77:03F-063
CANAL SEEPAGE REDUCTION BY SEDIMENT LADEN WATER,
Edling, R.J.
Nebraska University, Department of Agricultural Engineering, Lincoln Panhandle
Station, Scottsbluff, Nebraska.
Presented at the 1977 Winter Meeting of the American Society of Agricultural
Engineers, December 13-16, 1977, Palmer House Hotel, Chicago, Illinois, p. 1-15.
3 fig, 3 tab, 4 ref.

Descriptors:  Seepage, Canal seepage, Sediments, Sediment load, Economics.

The influence of artificially induced sediment laden water on Interstate Canal
seepage loss was studied.  The Interstate Canal is the largest  canal in the North
Platte project.  Substantial seepage loss reduction due to sediment laden water
was realized in one of the four years studied.  The practice of artificially in-
ducing sediment laden water to reduce seepage loss is"being threatened by environ-
mental and economical concerns.


77:03F-064
A LYSIMETER SYSTEM FOR WATER TABLE CONTROL,
Shih, S.F., Gascho, G.J., and Mishoe, J.W.
Florida University, Agricultural Research and Education Center, Belle Glade,
Florida.
Presented at the 1977 Winter Meeting of the American Society of Agricultural
Engineers, December 13-16, 1977, Palmer House Hotel, Chicago, Illinois, p. 1-12.
4 fig, 2 tab, 13 ref.

Descriptors:  Lysimeters, Water table, Sugarcane,  Irrigation, Irrigation effects,
Crop production.

Lysimeters were constructed from plastic-lined, above-ground swimming pools in
order to control water tables at 30, 60,  and 90 cm below the surface of muck soil
for sugarcane culture.  Details of the construction and water table maintenance
data are included.  The water tables were well maintained for a low installation
cost of about $20/sq m of soil surface area.


77:03F-065
COMPARISON OF SURFACE-DRAINED AND SUBSURFACE-DRAINED CLAYPAN SOILS,
Walker, P.N.                                                            .   .
Illinois University, Department of Agricultural Engineering, Urgana, Illinois
61801.
Presented at the 1977 Winter Meeting of the American Society of Agricultural
Engineers, December 13-16, 1977, Palmer House Hotel, Chicago, Illinois, p. 1-6.
5 fig, 1 tab, 3 ref.

Descriptors:  Corn, Crop production, Drainage, Irrigation, Irrigation effects,
Drainage effects, Furrow irrigation, Sprinkler irrigation.
                                        143

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Corn grown in claypan soil received ten different combinations of  drainage  and
irrigation treatments.  One year's yield data indicate no major differences
between the drainage treatments or between sprinkler and furrow irrigation.
Irrigated plot yields average 9.3 tonnes/ha.  Nonirrigated plot yields  averaged
4.3 tonnes/ha.


77:03F-066
SOIL AND WATER CONSERVATION PRACTICES FOR POLLUTION CONTROL,
Walter, M.F., Steenhuis, T.S., and Haith, D.A.
Cornell University, Department of Agricultural Engineering, Ithaca, New York
14853.
Presented at the  1977 Winter Meeting of the American Society of Agricultural
Engineers, December 13-16, 1977, Palmer House Hotel, Chicago, Illinois, p.  1-19.
6  tab, 42 ref.

Descriptors:  Soil conservation, Water conservation, Water quality. Water quality
control. Pollution, Pollutants.

Policy concerning BMP's to control agricultural nonpoint source pollution has
yet to be developed.  There has been a tendency to equate BMP's with soil and
water conservation practices.  SWCP's must be capable of enhancing water quality
if they are to be used as BMP's.  This paper discusses the effect of SWCP's on
water quality-


77:03F-067
DRIP IRRIGATION,
Shoji, K.
Scientific American, p 62-68, November 1977.  5 fig, 1 tab.

Descriptors:  Irrigation, Irrigation systems, Irrigation efficiency, Crop
production, Soil  water, Soil water movement, Water conservation, Saline water,
Salinity.

In this system plastic pipes laid on the surface of the ground deliver  water to
plants drop by drop.  The system reduces stress on the plant, conserves water and
works well with saline water.


77:03F-068
ENERGY AND IRRIGATION SYSTEM PLANNING,
Huinpherys, A.
Snake River Conservation Research, Agricultural Engineering Division, Kimberly,
Idaho.
Irrigation Age, Vol. 11, No. 7, p 74-75, April 1977.  2 tab.

Descriptors:  Irrigation systems, Irrigation engineering, Irrigation practices,
Irrigation design, Economics.

Most irrigators are concerned with the spiraling costs and threatened shortages
of energy for irrigation pumping.  Energy costs are expected to continue increasing
and, in some areas, limited energy supplies may restrict irrigation development.
Irrigation systems are normally based on a least cost design.  With low energy
costs, for example, it has been more economical to use smaller pipes than would
be used for minimum-energy designs.  Future systems may require a minimum-energy
design to minimize energy inputs.  As energy costs increase, this  also  may  be  the
least cost design.


77:03F-069
NEUTRON PROBE PROMISING SCHEDULING TOOL,
Dronsfield, A.S.
Bureau of Reclamation, Irrigation Management services Branch, Lower Colorado
Region, Boulder City, Nevada.
Irrigation Age, Vol. 11, No. 8, p 38, May-June, 1977.  1 fig.

Descriptors:   Soil water,  Soil moisture, Crop production, Irrigation, Irrigation
efficiency,  Irrigation practices.

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The success of the irrigation  farmer has  largely  depended on  his  judgment  of when
to irrigate and how much water to  apply.   His  success  has always  been  challenged
by the effectiveness with which he  applied water  to  his  crops.  Proper irrigation
management has been, and today is,  largely an  "art."  The Neutron Probe is now  a
field tool and can be used to  determine when to irrigate and  how  much  water to
apply.  It has been recognized as  an excellent research  instrument for deter-
mining soil moisture content.


77:03F-070
WORLD'S LARGEST SOLAR-POWERED  IRRIGATION  SYSTEM OPERATING IN  ARIZONA:   RISING
ENERGY COSTS CAUSE EXPLORATORY VENTURE,
Irrigation Journal, Vol. 27, No. 4, p  14-15, July-August,  1977-

Descriptors:  Arizona,  Irrigation  systems, Irrigation  practices,  Solar radiation,
Pumping plants.

The world's largest solar-powered  irrigation system  was  dedicated in late  April
at Northwestern Mutual  Life  Insurance  Company's Gila River Ranch,  southwest of
Phoenix.  The system, developed by the Columbus Laboratories  of Battelle Memorial
Institute, includes a 50-horsepower pump  capable  of  delivering up to 10,000 gallons
of irrigation water per minute at  peak operation.


77:03F-071
IRRIGATED SOYBEANS:  BIG YIELDS FROM A LITTLE  TIMELY WATER,
Schleicher, J.
Irrigation Age, Vol. 11, No. 7, p  16,  18,  20,  April  1977.   2  fig.

Descriptors:  Soybeans, Crop production,  Irrigation, Irrigation efficiency, Irri-
gation water, Crop response.

As irrigation presses eastward, Midwestern farmers are more and more interested in
adapting irrigation to  their own crop  production  programs.  One frequent comment:
"What about irrigating  soybeans?"   Surprisingly,  soybean irrigation already has a
strong hold in the Midwest.  In Nebraska  last  year,  an estimated  200,000 acres of
soybeans were produced  under irrigation.   Some 120,000 acres  of soybeans were grown
with supplemental water in Texas.   Another 90,000 acres  were  irrigated in  Missouri
in 1976, 35,000 acres in Kansas, and an estimated 17,000 acres in Oklahoma.


77:03F-072
INTERDISCIPLINARY MODELS OF  WATER  SYSTEMS,
Shahane, A.N.
Central and Southern Florida Flood Control District, Environmental Systems  Engi-
neering Division, West  Palm  Beach,  Florida 33402.
International Commission on  Irrigation and Drainage  Bulletin, Vol. 26,  No.  1, p
58-69, January 1977.  1 fig, 35 ref.

Descriptors:  Model studies, Simulation analysis, Water  supply, Computer programs,
Computers, Mathematical studies, Water conservation. Water delivery, Water
resources.

Due to the complex structure of water  systems, modern  efforts are  largely  geared
to the multidisciplinary analysis  of these water  systems.   The scope of this
paper is to present in  a logical manner the various  interdisciplinary  concepts
and formulations involved in the modeling  of the  water system.  The main rational
behind this effort is to broaden the isolated  perspective by  getting exposed to
the other equally important  aspects of water systems.  Based  on the discussion
of the previous sections, it can be realized that the  success of  these modeling
efforts is dependent on the  data base, computer capacity,  the validity of  assump-
tions, estimation procedure  for rate coefficients or arbitrarily  chosen weights
and finally the verification for the outcome.  Since every situation is unique in
itself, the model building procedure varies significantly and thus its application
becomes an art rather than a science.  With the understanding of  these inter-
disciplinary interactions and  their mathematical  formulation  coupled with  necessary
weighing procedures, it is hoped that  water systems  can  be adequately  modeled to
include real-world complexities in  the near future.
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77:03F-073
POLICY OF PRICING IRRIGATION WATER IN ENGLAND AND WALES,
Ministry of Agriculture, Great Britain.
Land Drainage Service, Ministry of Agriculture, Fisheries and Food,  Great
Britain.
International Commission on Irrigation and Drainage, Vol. 26, No.  1,  p  20,  30,
January 1977.

Descriptors:  Irrigation water, Irrigation, Irrigation practices,  Pricing,  Water,
Water demand, Economics.

Irrigation of farm crops in England and Wales is supplementary to  the natural
rainfall which can provide all the water required by the crops in  many  years,
this being particularly true in the wetter western areas.  It is therefore
mainly used for high value crops such as early and main crop potatoes and in
market gardens.  The driest area is South Eastern England, and it  is  estimated
that the frequency of irrigation to maintain easily available soil moisture at
all times between April and September is 20 years out of 20 years.   Unlike  many
countries, where irrigation is an absolute necessity to maintain crop growth,
there are no large irrigated areas dependent on a water supply system which
is controlled by governmental agencies or local irrigation boards.   Since it is
the choice of each individual grower whether to use irrigation on  the farm  or
market garden, the areas of irrigated land are often quite small,  and widely
separated from those of other irrigators.  Consequently.- each user takes the
water from a variety of often widely spaced and differing ground and  surface
water sources, or from the public water supply mains.


77:03F-074
RATIONALIZATION OF IRRIGATION RATES IN A DEVELOPING COUNTRY,
Gole, C.V., Amble, V.N., and Chopra, M.M.L.
Central Water Commission, Government of India, New Delhi, India.
International Commission on Irrigation and Drainage, Vol. 26, No.  1, p  31-40,
49, January 1977.  1 tab, 6 ref.

Descriptors:  Irrigation water. Irrigation, Irrigation practices, Pricing,  Water,
Water demands. Economics.

The problem of fixation of irrigation rate assumes particular importance in a
developing country like India where the State has to assume responsibility  for the
large-scale supply of irrigation.  The irrigation rate has then to be determined
balancing two opposing considerations.  On the one hand, it is necessary to recover
the costs and even a share of the benefit received by the irrigator  in  the  interest
of resource mobilization for further development as the benefit of irrigation
accrues only to a small section of the population.  On the other hand,  the  producer
has to be provided the incentive for increasing production through greater  utili-
zation of irrigation.  The paper reviews the existing practices with regard to
irrigation rates in various States of India and some other countries and discusses
the principles for arriving at a rational structure of irrigation rates.


77:03F-075
GYPSUM BLOCKS, TENSIOMETERS RELIABLE SOIL MOISTURE MONITORS,
Irrigation Age, Vol.  11, No. 7, p 31, 40, 48, April 1977.  1 fig,  4  tab.

Descriptors:  Tensiometers, Soil moisture, Soil water, Crop production, Irrigation,
Irrigation efficiency.

Two dependable, easy-to-use methods for irrigation scheduling are electrical re-
sistance blocks and tensiometers.  Both systems will help conserve water and
increase yields.   A brief run-down on each with suggestions on how to use them is
presented.
77:03F-076
SPRINKLER IRRIGATION PRACTICES AND WATER LOSSES:
FOR CONSERVATION,
Duble, R.L.
WATER SHORTAGES UNDERLINE NEED
                                         146

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Texas A and M University, Agricultural  Extension Service,  College  Station,  Texas.
Irrigation Journal, Vol. 27, No,  2, p 16-17,  20,  46,  March-April,  1977-  3  fig.

Descriptors:  Sprinkler irrigation, Irrigation  practices,  Irrigation  systems.
Water conservation, Water resources, Turf,  Irrigation efficiency.

Having witnessed the effects of  a water shortage in many  sections  of  the
country during the summer of 1976,  the  value  and need for conservation of  water
can be appreciated.  Since  scientists forecast  more extensive  droughts throughout
the next decade, people must become more conscious  of water  use.   In  order for
there to be adequate water  supplies for turf  irrigation in the future, careful
management of water resources  is  necessary  and  must be implemented now.


77:03F-077
IRRIGATION IN WYOMING,
Brosz, D.J.
Wyoming University, Department of Engineering,  Laramie, Wyoming.
Proceedings of the 1977 Annual Technical Conference,  Irrigation For All  Reasons,
p  173-175, February 13-15,  1977-

Descriptors:  Irrigation, Wyoming,  Irrigation practices,  Resources, Resource
development, Water, Water conservation.

Wyoming has the opportunity of finance, through minerals,  its  own  water  projects;
any  size, without having to obtain  money from the federal government.  Now, state
funds made available for loans can  be authorized for:  (1) Reclamation of  new
lands  (irrigation);  (2) Development of  new  water supplies for  existing irrigated
land that is short of  water supplies;  (3) Construction of reservoirs, diversion
works, canals, pipelines, pumping stations, etc.; and (4)  Development of groundwater.


77:03F-078
FREQUENT IRRIGATION MORE EFFICIENT,
Martin, W.W.
United States Department of Agriculture, Agricultural Research Service,  Peoria,
Illinois.
Crops and Soils Magazine, Vol. 29,  No.  5, p 10-12,  February  1977.   3  fig.

Descriptors:  Irrigation, Irrigation practices, Irrigation effects, Soil water,
Soil moisture. Fertilizers, Irrigation  efficiency.

Frequent light irrigations  on  sandy soil save water and the  energy to pump it and
also reduce the amount of fertilizer nitrogen moving  below the reach  of  plant
roots as a potential groundwater pollutant.


77:03F-079
DRIP AND SPRINKLER IRRIGATION  OF CARROTS AND  ONIONS,
Melstad, J.D., and DeBoer,  D.W.
Montana Department of  Health and Environmental  Sciences,  Subdivision  Bureau,
Montana.
Presented at the 1977  Annual Meeting of the American  Society of Agricultural
Engineers, June 26-29, 1977, Raleigh, North Carolina, North  Carolina  State
University, p. 1-13. 1 fig, 6  tab,  8 ref.

Descriptors:  Carrots, Onions, Sprinkler irrigation,  Irrigation systems, Irri-
gation.

One  carrot and two onion varieties  were drip  and sprinkler irrigated.  Drip
yields were greater than sprinkler  yields when  equal  gross amounts^of water^were
used.  Drip onions and carrots were larger  on the average than sprinkler onions
and  carrots.


77:03F-080
NEMATICIDE DISTRIBUTION UNDER  A  DRIP EMITTER,
Garvey, P.M., and Chesness, J.L.
Georgia University, Department of Agricultural  Engineering,  Athens, Georgia.

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Presented at the 1977 Annual Meeting of the American Society of Agricultural
Engineers, June 26-29, 1977, Raleigh, North Carolina, North Carolina State
University, p. 1-16.  3 fig, 3 tab, 17 ref.

Descriptors:  Nematocides, Soils, Soil properties, Irrigation, Irrigation
effects, Irrigation systems.

Distribution of nematicide in the soil when applied at different concentrations
through a drip irrigation emitter was studied.  Thirty, eight hundred, and
fifteen hundred ppm concentrations were used and soil volumes exposed to lethal
concentrations of the nematicide were determined for each.


77:03F-081
PLANNING SYSTEMS TO MAXIMIZE QUALITY AND PROFIT,
Bean, E.L.
Irrigation Specialist, Lake Elsinore, California.
Proceedings of the 1977 Annual Technical Conference, Irrigation For All Reasons,
p 67-69, February 13-15, 1977.

Descriptors:  Irrigation, Irrigation practices, Irrigation design, Turf, Turf
grasses, Water conservation, Soils, Sprinkler irrigation. Irrigation systems.

Various design factors as related to irrigation systems are presented and dis-
cussed with particular emphasis on turf irrigation systems.


77:03F-082
SCHEDULING AND MONITORING IRRIGATION WITH INFRARED PHOTOGRAPHY,
Pitney, M.
Crop Protection, Incorporated, Umatilla, Oregon.
Proceedings of the 1977 Annual Technical Conference, Irrigation For All Reasons,
p 176-177, February 13-15, 1977.

Descriptors:  Scheduling, Irrigation, Irrigation practices, Soil moisture, Soil
water, Infrared radiation, Crop production, Crop response.

Aerial infrared photography was originally developed to detect camouflage during
the war.  Today it is being used in agriculture to identify plants which are
under stress from disease/ moisture and nutrients.  By interpretation of the
infrared reflectance, as recorded on film, it is possible to distinguish between
healthy and unhealthy foliage.  The value of photography is in the early detection
of the stressed plants.  The photography also makes the application of corrective
measures quick and efficient.


77:03F-083
GROWTH OF SPRINKLER SIX TIMES FASTER THAN FURROW IRRIGATION,
Irrigation Age, Vol. 11, No. 5, p 28, 48, February 1977.  1 fig, 1 tab.

Descriptors:  Sprinkler irrigation, Furrow irrigation, Irrigation methods. Irri-
gation practices, Irrigation systems.

There has recently been a substantial increase in the level of prices for grains
both in world markets and in the United States.  Sprinkler irrigation accounts
for by far the major portion of the growth in irrigated areas in the United
States.  Between 1974 and 1975 the rate of growth of sprinkler irrigation was
6.2 times the rate of growth of gravity irrigation.  The rapid increase in center
pivot irrigation accounts for a major proportion of this growth in sprinkler
irrigation.
                                       148

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77:03F-084
SOLAR IRRIGATION SYSTEM BEGINS OPERATING  IN NEBRASKA,
Irrigation Journal, Vol. 27, No. 5, p  37, September-October,  1977.   1  fig.

Descriptors:  Irrigation, Irrigation practices.  Irrigation  systems.  Solar radia-
tion, Nebraska,

One of this country's first crop irrigation systems  to  be powered by solar  energy,
began operating the end of July in Mead,  Nebraska, after dedication  ceremonies
lead by Nebraska Governor J. James Exon.  The  solar  unit, designed by  the Massa-
chusetts Institute of Technology's Lincoln Laboratory,  will use  approximately
120,000 solar cells to convert the sun's  rays  into electricity.  The unit drives
a ten horsepower pump to irrigate 80 acres of  corn and  soybeans  in the summer.
In addition to irrigation, the solar powered system  will be used during the fall
and winter to dry crops that will be harvested from  the field.


77:03F-085
WATER'S KEY TO PROFITABLE ALFALFA SEED PRODUCTION,
Irrigation Age, Vol. 12, No. 2, p 38,  40, October 1977. 3  fig.

Descriptors:  Alfalfa, Crop production,  Irrigation,  Irrigation efficiency,  Irriga-
tion practices, Washington, Seeds,

Water for irrigation, or the lack of it at critical  times in the growing season,
has  turned the western end of Walla Walla County, .Washington into one  of the
nation's prime locations for alfalfa seed production.   Stan Wagoner  of Touchet,
who  raises 250 acres of seed each year says irrigation  water for the area comes
from the Blue Mountains.  Unfortunately,  wate-r flow  from the mountains stops the
first of June and doesn't resume until September,  This limits the growing  of row
crops which require summer-long irrigation.  But for alfalfa seed, the availability
of water  is  suitable.


77:03F-086
EVAPORATIVE COOLING OF PEACH TREES TO  BREAK REST AND DELAY  BLOOM,
Chesness, J.L., Hendershott, C.H,, and Couvillon, G.A,
Georgia University, Department of Agricultural Engineering, Athens ,  Georgia.
Presented at the Annual Meeting of the American Society of  Civil Engineers, Paper
No.  76-2039, June  27-30, 1976, Lincoln,  Nebraska.  12 p, 2  fig,  3 tab, 10 ref,

Descriptors:  Peaches, *Sprinkler irrigation,  *Evaporation, *Model studies. Or-
chards, Irrigation systems,  Irrigation effects, Irrigation  practices,  Forecasting.

The  Utah Pheno-Climatography Model was used to predict  rest completion and  bloom
dates for Loring Peach Trees,  Individual tree sprinklers with an application
 rate of  -086 per hour  (.218  cm/hr) were utilized over a 13^day period  to achieve
a 14-day bloom delay-


 77:03F-087
THE  DEVELOPMENT OF A FURROW-MULCH RIDGER,
 Richey, C.B., and  Griffith,  D.R.
Purdue University, Department of Agricultural  Engineering,  Lafayette,  Indiana.
 Presented at the 1976 Winter Meeting of the American Society of  Agricultural
 Engineers, December  14-17,  1976, Chicago, Illinois.   18 p,  7 fig,  3  tab, 16 ref.

 Descriptors:   *Furrow irrigation, *Mulching,  Cultivation,  Surface irrigation.
 Erosion, Erosion control. Furrows, Flow resistance,  Soybeans, Weed control, Plant
 growth.

 A tillage tool to  form ridges  for row  crops but leave residue on the surface in
 the  furrows has been developed.   It  gives promise of combing early plant^growth
 and  weed control approaching plowing with moisture  conservation  and  erosion con-
 trol approaching the no-till system.
                                         149

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77;03F-088
OPTIMAL ON-FARM ALLOCATION OF IRRIGATION WATER,
Trava, J., Heermann, D.F., and Labadie, J.W.
Escuela Nacional de Agricultura, Colegio de Postgraduados,  Chapingo (Mexico).
Presented at the Annual Meeting of the American Society of Agricultural
Engineers, Paper No 76-2040, June 27-30, 1976, Lincoln, Nebraska.  14 p, 4 tab,
23 ref.

Descriptors:  * Irrigation water, Optimization, *Water allocation, Model studies,
Simulation analysis, Crop production, Systems analysis, Water delivery.

The USDA-ARS Scheduling Program is a powerful tool to assist management in the
efficient use of irrigation water on the farm.  The Water Management Program
incorporating an optimization technique provides a tool for scheduling irriga-^
tion within constraints of water and labor.  The application of systems analysis
in making operational real-time management decisions has far-reaching possibilities
for further development.  More complex objective functions  and additional con-
straints will provide even more assistance to management.  The application of
the Dantzig-Wolfe decomposition principle to large-scale water management problems
demonstrates a feasible way of using systems analysis for operational problems.


77:03F-089
HOW ACCURATE ARE SHOP-MADE ORIFICE PLATES,
Ree, W.O.
Agricultural Research Service, Water Conservation Structures Laboratory, Stillwater,
Oklahoma.
Transactions of the American Society of Agricultural Engineers, Vol. 20, No. 2,
p 298-300, March-April, 1977.  3 fig, 2 tab.

Descriptors:  Irrigation, *Flow measurement, *0rifice flow. Orifices, Measure-
ment, On-site data collections, Equipment, Gages, Flow, Irrigation ditches,
Irrigation engineering, Water delivery, Irrigation efficiency.

Efficient use of irrigation water may require field measurement of furrow flows,
A plate with a circular orifice, together with a simple hook gage (both readily
made in any sheet metal shop), can be used to measure the flows.  However, the
orifice may not be perfect, and its accuracy is doubtful.  Tests of a sample
lot of orifice plates showed that errors in flow measurement could be as large
as 15% for a 2.54-cm diameter orifice.  For a 8.89-cm diameter orifice, the maxi-
mum error would probably be about 2%.  The errors are tolerable for rough flow
measurements but not for a more accurate measurement.  The  head measuring tech-
nique was checked and found to be satisfactory,


77:03F-090
IRRIGATION MANAGEMENT OF SHORT-SEASON, HIGH-DENSITY COTTON,
Mohammed, R.A., and Fangmeier, D.D.
Arizona University, Department of Soils, Water and Engineering, Tucson, Arizona,
Presented at the 1976 Winter Meeting of the American Soceity of Agricultural
Engineers, December 14-17, 1976, Chicago, Illinois,  9 p, 4 tab, 17 ref.

Descriptors:  Irrigation systems, *Cotton, *Soil moisture, *Crop production,
Irrigation, Soil water, Crop response, Nutrients, Fertilization, Nitrogen, Water
management  (applied).

An available soil moisture depletion of 50 to 55% at irrigation will give the
highest yields for short-season, high-density cotton.  This is compared to about
65% for conventional cotton.  Changing the scheduling criteria during the season
tended to reduce yields.  Application of 100 pounds of N per acre appears ade-
quate for the soils studied.  This provided adequate nitrogen for plant growth
but did not result in high petiole nitrate values late in the season.  For high-
est yields irrigation termination should be based on observations of boll load
and maturity.  Later irrigations tend to delay boll opening while terminating
too early reduces yields and fiber quality.  Careful monitoring of soil mois-
ture and plant condition is both necessary and satisfactory for irrigation
scheduling.  With experience, feel and appearance of soil moisture condition
were adequate for irrigation scheduling.  Other methods were more expensive and
time consuming but were no better than field observations.  Yields were comparable
                                        ISO

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to those obtained with conventional cotton;.  Water  requirements were  similar  to
those for conventional cotton.  Early  termination reduced  the  number  of  irrigations
by one and in 1974 reduced the yield by  17%,


77:03F-091
ROW CROP "DRIP" IN FLORIDA:  WATER AND FERTILIZER SAVINGS  SPEED ACCEPTANCE,
Irrigation Journal, Vol. 27, No.  3, p  48-49, May-June,  1977,   7 fig,

Descriptors:  Irrigation, Irrigation systems,  Irrigation practices, Fertilization,
Crop production, Florida, Water conservation.

Several years of commercial use of drip  irrigation  in  San  Diego County,  California
to grow tomatoes, cucumbers, squash, strawberries and  peppers  has  demonstrated
anywhere from 25 to 50 percent water savings,  to say nothing of the improved
crop production and quality-  Commerical vegetable  crop acreage under drip or
trickle irrigation has soared from 1,500 to  4,500 acres between 1975  and 1976.


77:03F-092
DRIP IRRIGATION MANAGEMENT,
Davis, S.
United States Department of Agriculture, Agricultural  Research Service,  Riverside,
California.
Water and Irrigation, p 14-15, 29-30,  November 1977.   2 fig.

Descriptors:  Irrigation, Irrigation systems,  Irrigation practices, Irrigation
efficiency.

Management is unquestionably the  most  important factor in  the  use  of  drip ir-
rigation.  To be successful and to accomplish  its purpose,  drip irrigation re-
quires sound decisions on the part of  designers, installers and operators.  If
the proper equipment  is not selected for the soil and  water conditions and the
equipment installed and operated  as designed,  then  drip irrigation will  not ful-
fil its full capacity to most efficiently utilize energy and water,


77:03F-093
WATER—A CRISIS MORE  SERIOUS THAN ENERGY,
Jauregui, L.U.
United Nations Center for Economic and Social  Information,  OPI/CESI NOTE WATER/14.
Magazine of the International Water Resources  Association,  Vol, 2, No. 1, p 25-26,
March 1977.

Descriptors:  Water,  Water conservation, Water supply,  Water resources,  Water
supply development.

The demand on the world's finite  water supply  is growing daily, because  of the
increased population, the concentration  of people in certain areas and the in-
dustrialization process.  At the  same  time,  the quality of water has  deteriorated
because of these factors.  We must take  care of our water  supply,  And to do  that,
we have to change our attitude towards it.


77:03F-094
DRIP/TRICKLE IRRIGATION SCHEDULING,
Rodriguez, R.
Superior Farming Company, Department of  Irrigation  Engineering, Bakersfield,
California.
Water and Irrigation, p 21-26, November  1977,   1 tab.

Descriptors:  Irrigation, Irrigation practices, Irrigation efficiency, Irrigation
methods. Soil moisture, Evapotranspiration.

The preliminary results obtained  so far  have been plotted.  The applied  water,
crop ET and the soil  moisture content  are plotted against  time,  Applied water
and ET are plotted in inches per  week, every week.  The moisture content (as
measured with the neutron probe)  is shown in inches of water per foot of soil.
                                        151

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77-.03F-095
SEEPAGE CONTROL BY PARTICLE SIZE SELECTION,
Hauser, V.L.
United States Department of Agriculture, Agricultural Research Service, Grassland-
Forage Research Center, Temple,  Texas  76501.
Presented at the 1977 Annual Meeting of the American Society of Agricultural
Engineers, June 26-29, 1977, Raleigh, North Carolina, North Carolina State Univer-
sity, p 1-10.  5 fig, 1 tab, 12  ref.

Descriptors:   Seepage, Canal seepage, Hydraulic conductivity, Soil particles,
Clays.

The hydraulic conductivity of soils can be substantially reduced by the addition
of gravel or aggregates which are at least 15 times larger than the particle
size of the soil.  The amount of clay required to control seepage can be reduced
by half by the addition of aggregates at least 15 times larger than the particle
size of the base soil,


77:03F-096
SIMULATING THE RESPONSE OF CORN  TO IRRIGATION IN HUMID AREAS,
Barfield, B.J., Duncan, W.G., and Haan, C.T.
Kentucky University, Department  of Agricultural Engineering, Lexington, Kentucky
40506.
Presented at the 1977 Annual Meeting of the American Society of Agricultural
Engineers, June 26-29, 1977, Raleigh, North Carolina, North Carolina State
University, p 1-23.  5 fig, 1 tab, 21 ref, 1 append.

Descriptors:  Simulation analysis, Model studies, Corn, Irrigation, Irrigation
effects.

A description is given of the Duncan Model for simulating the growth and yield
of corn.  The accuracy of the model for predicting yields of irrigated and non-
irrigated corn is evaluated using 12 plot years of data,


77:03F-097
CENTER PIVOT WITH DROP OUTLETS DIRECTS WATER TO ROOT ZONE,
Rodgers, N.
Littlefield, Texas.
Irrigation Age, Vol. 11, No. 5,  p 36-37, 39, February 1977.  2 fig.

Descriptors:  Irrigation efficiency, Water conservation, Irrigation methods,
Irrigation practices, Surface irrigation, Evaporation.

The use of a pivot sprinkler now on loan to the Texas Agricultural Experiment
Station  (TAES) could revolutionize sprinkler systems where evaporation losses
are high due to wind velocity.  The newest idea in center pivot irrigation and
an old idea called furrow diking to hold rainfall have been combined at the
TAES in Lubbock.  The melding of the latest ideas in irrigation and the hold-
over damming practice from the dust bowl days is a totally new way to get
maximum returns out of a limited amount of water,


77:03F-098
STRAIGHT SHOT HERBIGATION,
Welsh, G.
NEBCO Corporation, Holyoke, Colorado,
Irrigation Age, Vol. 11, No. 5,  p 46, February 1977,  2 fig.

Descriptors:  Herbicides, Sprinkler irrigation, Colorado, Irrigation practices.
Crop production, Corn.

Direct injection of a herbicide  through sprinklers has not been attempted on a
large scale in Colorado.  At least not until last year when Gene Welsh, Manager
of NEBCO Corporation in Holyoke, applied straight Sutan+ with atrazine through
center pivots on several circles of corn.  Most growers who herbigate corn dilute
the chemical in a holding tank before injecting it into the sprinkler.  Because
herbicides require small amounts of chemical per acre, many farmers claim it is
                                       152

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too difficult to accurately inject the proper  rates  in  this manner,  so  they  blend
it with large batches of water before injection.  This  popular method has proved
to be effective but according to Welsh, who has used both methods,  "It's definitely
easier to inject the straight herbicide.   It's a  trouble-free process and calibra-
tion is much simpler."


77:03F-099
SOIL PROPERTIES AND IRRIGATION,
Grimes, D.W.
California University, Department of Land, Air and Water Resources,  Water Science
and Engineering Section, Davis, California.
Proceedings of the 1977 Annual Technical Conference, Irrigation  For  All Reasons,
p 40-44, February 13-15, 1977.  2 fig, 3 tab,  8 ref.

Descriptors:  Soils, Soil properties, Irrigation, Irrigation effects. Root develop-
ment,  Soil moisture, Soil water. Soil investigations,  Soil environment, Soil
physical properties.

Consideration of all soil properties important to water management decisions is
beyond the scope of this report.  Emphasis is  placed on some techniques for
using water related properties of soils in management decisions  and  impedance
characteristics that reduce effective plant root  extension.


77:03F-100
TAILORING YOUR SOIL FOR DRAINAGE AND IRRIGATION,
Daniel, W.H.
Purdue University, Department of Agronomy, Lafayette, Indiana,
Proceedings of the 1977 Annual Technical Conference, Irrigation  For  All Reasons,
p  54-58, February 13-15, 1977.

Descriptors.:  Irrigation, Drainage, Irrigation effects, Drainage effects. Soils,
Soil properties, Turf, Turf grasses, Irrigation design, Irrigation efficiency.

In much of the world, one of the most evident  limitations of climate is the  lack
of available water.  The fantastic advancement of the irrigation industry has
been matched by the creative ideas of current  installations.  In the management
of fine turf areas, the reduction of the limitations has been the target for
many turf managers.  Irrigation improvements have given most turf managers
excellent tools for the day-by-day application of water at preferred quantities,
at preferred times and under uniform application  conditions.  A  study of several
18-hole golf course irrigation designs reveals that  the number of heads being
used vary from 800 to 1200.  These, when combined with  satellites and controllers
for individual operations of the valves and heads, become effective  systems.
Many,  in fact, most turf areas are developed on existing natural soil.  Obviously,
this includes a wide variety of soil types, each  having varying  infiltration
and drainage potentials.  For intensely used turf areas, extensive  soil modifi-
cations have evolved as systems of construction.  Four  of theses-vertical trenching,
sand bedding, Purr-wick and PAT systems should be of interest.


77:03F-101
DRIP AS SUPPLEMENTAL IRRIGATION,
Nye, J.R.
Trickl-Eez Company, Saint Joseph, Michigan,
Proceedings of the 1977 Annual Technical Conference, Irrigation  For  All Reasons,
p  73-76, February 13-15, 1977.

Descriptors:  Supplemental  irrigation, Irrigation systems, Irrigation practices,
Water  conservation. Irrigation efficiency.

The use of drip or trickle  irrigation as a supplement to natural rainfall is
finding increased usage throughout the Midwest, Eastern and Southern states.   By
using  technology developed mainly in California and  the other western states,
where  drip irrigation has found widespread use as an efficient labor saving  method
of irrigation, growers who  have never irrigated before  are adapting  it  to orchards,
vineyards, vegetable croplands, and it may even find usage in field  crops.

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77:03F-102
FERTILIZATION WITH DRIP IRRIGATION:  CONCEPTS, PRACTICES AND PROBLEMS,
Francis, L.
Agrispect, Incorporated, Riverside, California.
Proceedings of the 1977 Annual Technical Conference, Irrigation For All Reasons,
p 80-83, February 13-15, 1977.  2 fig.

Descriptors:  Irrigation, Irrigation effects, Irrigation practices, Fertilization,
Fertilizers, Nutrients,

Fertilizer needs of our crops can be largely applied by means of injection through
the drip irrigation system, so long as the proper equipment is used and the
chemicals used are thoroughly understood,

77:03F-103
PECULIARITIES OF DRIP IRRIGATION SYSTEM DESIGN,
Olson, B.R., Jr.
Olson Engineering Systems, Indio, California.
Proceedings of the 1977 Annual Technical Conference, Irrigation For All Reasons,
p 84-87, February 13-15, 1977.

Descriptors:  Irrigation, Irrigation systems, Irrigation practices, Soils, Soil
properties, Water conservation, Irrigation design, Sprinkler irrigation.

Drip irrigation is generally considered as a point source application of water
at a rate that does not exceed the basic intake rate of the soil.   There are
certain criteria or "peculiarities" concerning drip irrigation system design as
compared to sprinkler or surface irrigation systems.  The design engineer is
responsible for critically analyzing these criteria,


77:03F-104
BUYING AUTOMATIC IRRIGATION,
Kennedy, S.
Weeds, Trees, and Turf, Vol. 16, No, 1, p 15, 18, January 1977,  1 fig,

Descriptors:  Irrigation, Irrigation practices. Irrigation systems, Irrigation
efficiency, Automation, Automatic control, Turf,

After 44 years with the same irrigation system, the Columbus Country Club decided
to replace  it.  Here, Superintendent Steven Kennedy tells how he went about doing
so and offers some advice to superintendents who plan to replace their systems.


77:03F-105
A LOOK AT THE DRIP/TRICKLE INDUSTRY,
Fraser, G.O., Jr.
Water and Irrigation Magazine.
Water and Irrigation, p 5-11, 27-28, November 1977.  5 fig, 2 tab.

Descriptors:  Irrigation, Irrigation efficiency, Irrigation practices, Water
conservation.

Leaders of  the drip/trickle irrigation industry present their ideas regarding
the state-of-the-art of this type of irrigation.


77:03F-106
CAN SUNSHINE POWER THE IRRIGATION PUMP?
Abernathy,  G.H., and Mancini, T.R,
New Mexico  State University, Department of Agricultural Engineering, Las Cruces,,
New Mexico  88003.
Agricultural Engineering, Vol. 58, No. 10, p 39-40, October 1977,  1 fig.

Descriptors:  Irrigation, Irrigation practices, Pumps, Pumping, Plants, Solar
radiation, New Mexico, Electrical equipment, Electricity, Electrical power
production, Electric power.

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The Torrance County Land and Livestock Company  in  New  Mexico's  Estancia  Valley
is the site of the new experimental  solar-powered  pumping  plant funded by  the
State of New Mexico and ERDA.  Sandia Laboratories engineered the  pumping  system.
New Mexico State University will conduct  the  agricultural  experiments.   Three
crops will be grown yearly.


77:03F-107
SOLAR ENERGY TO POWER IRRIGATION PUMPS,
Agricultural Engineering, Vol. 58, No. 7,  p  41-42, July  1977.   2 fig.

Descriptors:  Irrigation, Irrigation practices,  Pumps, Pumping  plants, Pumping,
Solar radiation, New Mexico, Electrical equipment, Electricity, Electrical
power production, Electric power.

The sun powers the sump pump in the  experimental irrigation  system now operating
at Gila Bend, Arixona.  The system,  developed by Battelle  Memorial Institute
with financial backing by Northwestern Mutual Life Insurance Company, delivers
10,000 gpm to 25,000 acres planted in cotton, wheat, barley, alfalfa  and safflower.


77:03F-108
SHOULD YOU BE USING NITRAPYRIN?
Walsh, L.M.
Wisconsin University, Department of  Soil  Science,  Madison, Wisconsin.
Crops and Soils Magazine, Vol. 30, No. 1,  p  Sr-lO,  October  1977. 1 fig,  2  tab.

Descriptors:  Nitrogen, Fertilizers, Fertilization, Nutrients,  Crop production.

A new product called N-Serve  (nitrapyrin)  has been getting a lot of attention
since its commerical introduction  last fall.  This product is designed to  cut
losses of nitrogen fertilizer.


77:03F-109
ROUNDTABLE:  IRRIGATION-FERTIGATION,
Caldwell, A.C., Murphy, L.S.,  Tucker, B.B.,  Wiese, R.A., and Zubriski, J.C,
Minnesota University, Department of  Soil  Science,  Minneapolis,  Minnesota  55455,
Crops and Soils Magazine, Vol. 29, No. 7,  p  14-21, April-May, 1977,  5 fig.

Descriptors:  Nitrogen, Nutrients, Fertilizers,  Fertilization,  Rainfall, Soil
water. Soil moisture, Economics.

Various experiments of irrigation-fertilization are presented by five authoritative
authors.  The fertilization time frame and injection of  fertilizers in irrigation
water and the economics of fertilization  are considered,


77:03F-110
OUR NEWEST NATURAL RESOURCE—COMPACTION—GOOD AND BAD  EFFECTS ON ENERGY  NEEDS,
Voorhees, W.B., and Hendrick,  J.G.
United States Department of Agriculture,  Agricultural  Research  Service,  Morris,
Minnesota.
Crops and Soils Magazine, Vol. 29, No. 7,  p  11-13, April-May, 1977,  1 fig.

Descriptors:  Soil properties. Soil  compaction,  Soil density, Soil erosion,
Runoff, Soil management, Soil  structure,  Soil physical properties, Bulk  density,
Crop production.

Soil compaction caused by wheel traffic during  normal  farming operations can
create serious soil erosion and water runoff problems, and can  drastically
restrict root growth and reduce crop yields.


77:03F-111
DEEP PLOWING, CURE FOR SOD1C CLAYPAN,
Sandoval, P.M., and Jacober, F.C,
United States Department of Agriculture,  Agricultural  Research  Service,  Mandan,
North Dakota.
Crops and Soils Magazine, Vol. 29, No. 7,  p  9-10,  April-May, 1977, 1 fig.

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Descriptors:  Soil investigations, Soil tests, Soil types,
structure, Soil profiles.
                                                           Soil treatment, Soil
Sodic claypan soils are not desirable.  More common names for this type of soil
are scabland, scabspot land, or panspot land.  How common are these soils?  We
have about 17 million acres in the Northern Great Plains.  There are another
12 million acres to the north in the Canadian prairie provinces.


77:03F-112
SUGAR BEET RESPONSE TO WATER STRESS IN SANDY SOILS,
Stegman, B.C., and Bauer, A.
North Dakota State University, Department of Agricultural Engineering, Fargo,
North Dakota.
Transactions of the American Society of Agricultural Engineers, Special Edition,
Vol. 20SW, p 469-473, 477, June 20, 1977.  12 fig, 1 tab, 13 ref, 1 equ.

Descriptors:  Sugar beets, Plant growth, Crop response. Crop production, Soil
water, Irrigation effects, Soil moisture, Leaves.

Leaf xylem pressure data suggest brief reductions to about -14 to -15 bars may
be tolerable provided average pressure over 10-20 day intervals is above <-i2
bars.  Seasonal average pressures of -15 and -21 bars were found to reduce
yields to 0.6 and 0.1 that of a nonstress treatment, respectively.  Water manage-
ment criteria based upon allowable levels of leaf xylem pressure are suggested.


77:03F-113
CALCULATING THE COST OF EACH IRRIGATION,
New, L.
Texas A and M University, Texas A and M Research Center, Lubbock, Texas.
Irrigation Age, Vol. 11, No. 9, p 56-57, July-August, 1977.'  2 tab.

Descriptors:  Irrigation, Irrigation practices, Irrigation efficiency, Pumping,
Economics.

In view of today's energy costs, excessive irrigation amounts and poor field
distribution patterns can seriously damage the profitability of a farming
enterprise.  You may have a good idea of your total pumping time, and your
annual fuel costs per acre of land.  But the best lead to your irrigation ef-
ficiency  is to know how much water is pumped, and where it's going.  You can
obtain those figures by knowing your irrigation well capacity and the number
of hours  that a well or group of wells are pumped to irrigate a specific
acreage.  The specific acreage can be an irrigation set, a section of land,
a field of corn, or even the actual acreage irrigated by a center pivot sprinkler.


77:03F-114
DRIP IRRIGATION STRIKES BACK AT WATER SHORTAGES,
Davis, S.
California University, Department of Agricultural Engineering, Riverside,
California.
Irrigation Age, Vol. 11, No. 9, p 31, 35, July-August, 1977,

Descriptors:  Irrigation, Irrigation systems, Irrigation practices, Water
conservation.

To solve  the drought problem facing us in 1977, or during any dry year, we must
learn to  store more water and make more use of our available water.  One ef-
ficient way to accomplish the latter is with drip irrigation,


77:03F-115
SUGAR BEETS TOLERATE MORE LIMITED IRRIGATION,
New, L.
Texas A and M University, Texas A and M Research Center, Lubbock, Texas.
Irrigation Age, Vol. 12, No. 1, p 51-52, September 1977.  2 fig,  1 tab.

Descriptors:  Sugar beets, Irrigation, Irrigation effects, Irrigation practices,
Water conservation, Evapotranspiration.
                                        156

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Sugar beets, once considered to have high  and  critical  demands  for water,  have
yielded well under more limiting  irrigation  in field tests  near Hereford,  Texas.
In 5-year irrigation demonstrations, sugar beets  that were  irrigated  on  3-week
intervals averaged 27.3 tons per  acre, while beets  that were  irrigated on  2-week
intervals averaged 26.7 tons.  Irrigation  applications  averaged about 8  inches
less when irrigating on the 3-week  frequency.   In a third comparison, sugar  beets
irrigated on 4-week intervals averaged 24,3  tons  per acre.


77:03F-116
CONTROLLING SEDIMENT IN SURFACE RUNOFF,
Huropherys, A.
Snake River Conservation  Research Center,  Agricultural  Engineering Division,
Kimberly, Idaho.
Irrigation Age, Vol. 12,  No. 1, p 22,  24,  September 1977,  1  fig.

Descriptors:  Sediments,  Nutrients, Runoff,  Irrigation, Irrigation effects,
Pesticides, Fertilizers,  Salts,

Irrigators are  sometimes  criticized for  contaminating downstream waters  with
sediment, nutrients and pesticides  contained in surface runoff  from  irrigation.
Research  studies have  shown that  the concentrations of  dissolved fertilizer
nutrients, pesticides  and salts in  surface runoff are essentially the same as
those in  the applied irrigation water.   Thus,  water passing over the  soil  sur-
face does not usually  pick up additional amounts  of these materials.  Signifi-
cant increases  in nutrient or pesticide  concentration do occur  when  these  materials
are applied by  adding  them to the irrigation water  or when  the  material  falls  into
the water from  spray applications or washed  from  the plants by  rain.  When ferti-
gation  and herbigation are practiced,  runoff water  should be  retained in a reuse
pond and  not allowed to leave the farm or  flow into natural streams.


 77:03F-117
MONITORING SAVES MONEY AND WATER,
Ruen, J.
 Irrigation Age, Vol. 12,  No,  1, p 16,  19,  September 1977.  2  fig.

Descriptors:   Irrigation  efficiency, Crop  production, Nebraska, Scheduling,  Water
 conservation.

 Cut  energy  costs,  increase water  efficiency, boost  yields.  And, save money  and
water at  the same  time.   Sound  impossible?  Nebraska farmers  are doing  it  with
 irrigation  scheduling  and a  little  help  from their  friends,


 77:03F-118
 HOW  THEY'RE HARNESSING THE SUN  TO PUMP WATER,
 Larsen, R.
 Irrigation Age  Magazine.
 Irrigation Age, Vol. 12,  No.  2, p 6-8, October 1977.  4 fig.

 Descriptors:   Irrigation, Irrigation  practices, Irrigation  systems,  Solar  radiation.

 Natives worshipped  it; sunbathers sought it, and farmers welcomed  it.  Despite all
 this attention  given to the  sun,  serious efforts to harness the sun's rays for
 energy  have been  few.  Now there  is a  major  attempt by  private  firms and govern-
 ment agencies  to  find  a way  of  using  sunlight to power  the  nation's  irrigational
 systems.


 77:03F-119
 IRRIGATION AND  WILDLIFE:   CAN THEY  BE  COMPATIBLE?
 Nelson, M.J.
 Irrigation Age, Vol. 12,  No.  3, p 8-9, 16, Novembers-December, 1977.   5  fig.

 Descriptors:  Wildlife, Wildlife  habitats, Irrigation,  Irrigation  effects,
Wildlife  management.
                                          157

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Irrigation and wildlife would seem to be mutually exclusive.  Bulldozing trees
to accomodate center pivot systems, the tendency toward monoculture encouraged
by the big systems, and the elimination of fencerows and traditional field edges
are an anathema to wildlife.  To listen to the voices of gloom and doom com-
plaining about the loss of habitat in the country, it would seem that irrigation
is in large part responsible for the decline of the pheasant, the quail, the
deer, and the whooping cranes.  They would have you believe that it is possible
to have irrigated crops in an area, or produce wildlife, but not both.  However,
the picture is not that bleak, not at all, in fact.  With small, seemingly
insignificant changes in farming practices, irrigation can be greatly beneficial
to wildlife, even in areas where it is heavily developed.


77:03F-120
MAKING THE DESERT FLOWER:  IRRIGATING CALIFORNIA'S IMPERIAL VALLEY,
Mallory, R.
Irrigation Journal, Vol. 27, No. 5, p 19-20, 27, September-October, 1977.  2 fig.

Descriptors:  California, Water conservation, Water quality, Crop production,
Salinity, Saline soils, Furrow irrigation.

"Making the desert flower" is a description heard many times in the irrigated
farmlands of the West.  But perhaps nowhere is the description more appropriate
than  in California's Imperial Valley-  With less than three inches of rain per
year  in this southern-most California valley, the land could not even be initiated
into  dryland wheat production as was much of the rest of the state,
77:03F-121
DRIP STUDY SHOWS UP TO 30%  WATER SAVINGS,
Schleicher,  J.
Irrigation Age,  Vol. 11,  No.  4,  p 37,  69,  January 1977.
                                                         1 fig,
Descriptors:  Irrigation, Irrigation practices, Irrigation systems, Irrigation
efficiency, Orchards, Crop production, Water conservation.

Tree crop farmers repeatedly hear how efficient drip irrigation is in relation
to either sprinkler or furrow water application methods.  But just how does
"drip efficiency" stack up in terms of comparative water savings with sprinkler
and furrow techniques?  That question is the subject of a joint research project
currently being sponsored by the University of California and the California
Department of Water Resources on a citrus farm near Parlier, California.  The
study centers around a 40-acre block of 8-year-old Navel oranges, chosen for the
uniformity of soil, water and tree conditions.  The acreage is divided into 12
five-row blocks, permitting the researchers to create four replications each of
the three irrigation methods ,


77:03F-122
DRIP IRRIGATION AT SUPERIOR FARMING!  WATER USE CUT 30%, FERTILIZER 50% BY THIS
LARGE CORPORATE FARM,
Mallory, R.
Irrigation Journal.
Irrigation Journal, Vol. 27, No. 3, p 20-21, May-June, 1977,  5 fig.

Descriptors:  Irrigation, Irrigation practices, Irrigation systems, Irrigation
efficiency, Water conservation,

Superior Farming Company, which first started its drip irrigation experiments in
1971, had its 8,000 acres of trees and vines under drip by 1975^ — 20 percent of
the total drip irrigated acreage in California at the time,


77:03F-123
DEAD LEVEL FIELDS SIMPLIFY AUTOMATING IRRIGATION:  ARS EXPERIMENTS IN ARIZONA,
Irrigation Journal, Vol. 27, No. 5, p 16, 25, September-October, 1977.  1 fig.

Descriptors:  Irrigation, Irrigation efficiency, Crop production, Automation,
Flood irrigation, Furrow irrigation.
                                        158

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Irrigators in the Southwest are increasingly  taking  part  in  a trend that  promises
to improve irrigation efficiency, raise  crop  production,  and simplify automating
water distribution systems.  That trend  is  to level  cropland to  zero grade—dead
level.


77-.03F-124
3-WHEELED "MOSQUITO" IRRIGATES FROM DITCH,
White, J.
Denver, Colorado.
Irrigation Age, Vol. 11, No. 7, p 80-81,  86,  April  1977.   2  fig.

Descriptors:  Irrigation,  Irrigation  systems,  Irrigation  practices, Irrigation
efficiency.

A farmer has designed a self-propelled irrigation  "tractor"  that  looks amazingly
similar to a mechanical mosquito.  The "Mosquito"  combines the advantages of
circular pivot irrigation  systems with the  low cost  of  gravity irrigation.  This
new machine has helped increase yields on corn,  wheat,  barley and lettuce,  the
primary crops in the San Luis Valley  in  Southern Colorado, because the "Mosquito"
provides more efficient use of water.  The  "Mosquito" also requires less  super-
vision than some other irrigation systems,  and produces higher yields and better
water efficiency.
 77:03F-125
 AUTOMATION ASSURES PRECISE  DELIVERY,  CUTS  LABOR,
 Irrigation Age, Vol.  11, No.  8,  p  31-32, May-June,  1977.
1 fig,
 Descriptors:  Automation,  Irrigation,  Irrigation systems.  Irrigation practices,
 Irrigation efficiency, Arizona.

 A  study was undertaken in  the Wellton-Mohawk Valley area to utilize automation
 to two common methods of turning  water into a field—jack-gates  and tile  outlets.
 Farmers who grow wheat, alfalfa or  cotton  in the Wellton-Mohawk  Valley operate
 on fairly tight soils, either clay  loams or silty clay loams.  Fields are generally
 dead-leveled  (level basins)  and the types  of outlets discussed,  jack-gates and
 tile outlets, were used.   It was  determined that both types of systems could  be
 successfully automated.  However, thus far, jack-gates have proved more effective,


 77:03F-126
 CORN AND ALFALFA PRODUCTION  AS INFLUENCED  BY IRRIGATION AND SALINITY,
 Hanks, R.J., Sullivan, T.E., and  Hunsaker,  V.E.
 Utah State University, Logan, Utah,
 Soil Science Society of America Journal, Vol. 41, No, 3, p 606-610, Mayr-June, 1977,
 5  fig, 6 tab, 9 ref.

 Descriptors:  Corn, Alfalfa, Crop response, Salinity, Soil moisture, Irrigation
 effects, Evapotranspiration, Crop production,

 Yields of corn and alfalfa were determined where both salinity and water  stress
 were imposed.  Yields of corn at  Logan, Utah in  1975 were decreased by salinity
 or water stress  (caused by low irrigation  levels) in direct relation to the
 decrease in evapotranspiration.   The decrease in evapotranspiration was caused
 by a decrease in soil water  depletion, indicating that salinity  influenced soil
 water availability-  Corn  yields  at Vernal, Utah in 1974 were  decreased by salinity,
 but to a considerably lesser extent by low irrigation, probably  because of water
 flow upward into the root  zone from a water table.  Alfalfa yields at Vernal  in
 1974 were not decreased by salinity or by  low irrigation rates,  because of water
 supplied by a water table  and used  by roots below the zone of  salinity,


 77:03F-127
 SOURCES, RATES, AND FREQUENCIES OF  N APPLICATION IN SUBIRRIGATED HAY MEADOWS,
 Daigger, L.A., and Moline, W.J.
 Nebraska University, Department of  Agronomy, Lincoln, Nebraska,
 Agronomy Journal, Vol. 69, No. 4, p 644-647, July-August,  1977,   4 fig, 2 tab,
 10 ref.
                                          159

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Descriptors:  Subsurface irrigation, Irrigation systems, Nitrogen, Fertilizers,
Fertilization, Nutrients, Soil investigations, Urea.

Inadequate supplies of soil nutrients often limits hay production of western
United States subirrigated meadows.  Our purpose was to evaluate the effective-
ness of three N-sources at various rates in alternating sequences of N-applied
annually, biennially, and triennially for meadow hay production.


77:03F-128
MEASURING THE AMOUNTS OF CROP RESIDUE REMAINING AFTER TILLAGE,
Sloneker, L.L.,  and Moldenhauer, W.C.
United States Department of Agriculture, Agricultural Research Service, Morris,
Minnesota  56261.
Journal of Soil and Water Conservation, Vol. 32, No, 5, p 231-236, September-
October, 1977.  6 fig, 5 tab, 10 ref.

Descriptors:  Mulching, Crop production, Organic matter, Soils, Soil investiga-
tions, Tillage.

A simple method of estimating percent residue cover, and how to convert percent
residue cover to tons per acre was devised.  Under certain conditions, more
than one fall mulch tillage operation can be performed without losing a large
percentage of residue cover.  We also determined the percentage of cover re-
maining after row-crop planting using various tillage methods on different soils
at three locations.


77:03F-129
CHARACTERIZATION OF YIELD AND ECONOMIC LOSS FROM NONUNIFORM FERTILIZER DISTRIBUTION
USING COMPUTER SIMULATION,
Sorenson, R.C., and Wiese, R.A,
Nebraska Agricultural Experiment Station, Lincoln, Nebraska  68583.
Soil Science Society of America Journal, Vol. 41, No, 2, p 382-385, March-April,
1977.  4 fig, 2 tab, 10 ref.

Descriptors:  Model studies, Simulation analysis, Computer programs, Fertilizers,
Fertilization, Nutrients, Crop production.

A simpler computer program has been developed to predict yield losses from uneven
broadcast fertilizer distribution on the basis of distribution pattern, yield
response curve, fertilizer rate, soil test rating and amount of fertilizer swath
overlap.  Losses were serious only on soils classed "very low" in nutrient supply.
Losses for a highly responsive crop are less than for a less responsive crop.
Overlapping succeeding swaths may improve the appearance of a field, but has a
small effect on yield loss unless the amount of overlap is <50%.  Visually evi-
dent streaks in plant growth patterns may not necessarily indicate high yield loss,


77:03F-130
THE FINE ART OF USING ENOUGH, BUT NOT TOO MUCH BORON,
Bowen, J.E.
Hawaii University, Department of Plant Physiology, Honolulu, Hawaii,
Crops and Soils Magazine, Vol. 29, No. 9, p 12-14, August-September, 1977.  2 fig,
1 tab.

Descriptors:  Boron, Nutrients, Fertilizers, Fertilization, Crop production,.
Crop response.

During the past 50 years several seemingly different diseases have appeared in
different crops.  These diseases were puzzlers to both farmers and agricultural
researchers.  It has now been determined that all of these diseases are actually
caused by the same problem; a lack of boron,


77:03F-131
LONG-TERM STRATEGIES FOR SUPPLYING NITROGEN TO CROPS,
Gutschick, V.P.
California University, Los Alamos Scientific Laboratory, Los Alamos, New Mexico
87545.
                                        160

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United States Energy Research and Development Administration,  Publication No
LA-6700-MS, May 1977.  73 p, 136 ref,  3 append.

Descriptors:  Nitrogen, Fertilizers, Fertilization,  Crop  production.

Raising food for present population requires nitrogenous  fertilizers  in addition
to indirect management of the biosphere's  nitrogen cycle.   The Haber  process
for making the ammonia base of fertilizers  is increasingly  pressed by shortages
of energy, while only minor improvements are still possible.   The Haber process
and 15 alternatives for increasing the nitrogen  available to crops using less
fossil energy is discussed.  These alternatives  span technology of fertilizer
synthesis, farm management and technology,  crop  genetics, and  market  management,


77:03F-132
AGRONOMY ABSTRACTS, 1977 ANNUAL MEETINGS,
American Society of Agronomy
American Society of Agronomy, 677 South Segoe Road,  Madison, Wisconsin 53711.
Agronomy Abstracts, Los Angeles, California, November 13-18, 1977.  198 p.

Descriptors:  Model studies, Fertilization, Land use,  Climatology, Environmental
quality, Crop production. Soil chemistry,  Nutrients,  Soil,  Soil water, Fertilizers,
Soil physics.

This booklet contains the abstracts of each paper that was  presented  at the 1977
Annual Meetings of American Society of Agronomy, Crop Science  Society of America,
and Soil Science Society of America.


77:03F-133
MORE GROWERS TURN TO HERBIGATION FOR WEED  CONTROL,
Irrigation Age, Vol. 11, No, 4, p 47-48, January 1977, 2 fig, 1 tab.

Descriptors:  Herbigation, Weed control, Herbicides,  Irrigation, Irrigation
practices, Chemicals.

The beneficial effects of herbigation  are  described  and equipment to  accomplish
herbigation.


77:03F-134
THE BRIGHT SIDE OF LOW PRESSURE,
Irrigation Age, Vol, 11, No, 4, p 52,  January 1977,   1 fig.

Descriptors:  Sprinkler irrigation,  Irrigation,  Energy, Economics, Sprinklers,

The benefits of low pressure nozzles for sprinkler  irrigation  are described.


77:03F-135
POLICY OF PRICING IRRIGATION WATER,
Jain, J.K.
Ministry of Agriculture and Irrigation, New Delhi (India),
ICID Bulletin, Vol.  26, No. 1, p 41-49, January  1977,  2  tab,  14 ref.

Descriptors:  *Pricing, *Water policy, *Irrigation,  *Water  rates, Economics,
Governments, Cost-benefit analysis, Economic developments,  Economic impact,
Political constraints, Subsidization,  Crop  production, Agriculture, Water
management  (applied), Cost repayment,

Based on analysis of irrigation water  pricing issues and  theory, a^guideline is
suggested for formulating governmental pricing policy and its  application is
described for India.  Major aspects  are:   (1) Subsidies up  to  50% may encourage
irrigation use and minimize inflation  in the  initial stages of irrigation develop-
ment.   (2) Assessment may be based on  crop area  in the interests of practicality
and convenience but volumetric pricing should be promoted wherever possible,
especially on tube wells.   (3) In areas where  farmers are not  yet accustomed to
irrigation, a two-part tariff may be introduced  in place  of the simpler  single
charge based on crop area.   (4)  Irrigation rates should be  uniform unless there
                                        161

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are strong reasons to introduce variable rates, such as variations in climate,
soil,  irrigation systems, crop irrigation requirements, or utilization of
irrigation potential.  Preindependence Indian pricing policy was based on strict
adherence to financial return, but since 1947 this criterion was initially re-
laxed and subsequently replaced by a cost-benefit standard in order to achieve
rapid development of irrigation.  The result was very low water rates, heavy
government subsidization, and considerable diversity in the fixing of rates.
Recent trends on pricing are reviewed, with attention to quantum of water rates,
mode of assessment, water rate structure, and water rate uniformity/diversity.


77:03F-136
COMPUTER MODELING TO MAXIMIZE WATER USE EFFICIENCY AND REDUCE ENERGY IN IRRIGATION,
Gilley, J.R.
Nebraska University, Water Resources Center, 310 Agricultural Hall, Lincoln,
Nebraska  68583.
Project Completion Report A-038-NEB, 30 p, 10 fig, 9 ref.

Descriptors:  Irrigation systems, Energy, Soil-water-plant relationships, Soil
moisture, Water conservation, Model studies, Mathematical models, Crop production,
Computer models.

A simplified irrigation scheduling model, IRRIGATE, has been developed as an
educational tool for use by University personnel and in extension programs,   Ir-
rigations are scheduled using the basic premise of maximizing yields with a
minimum of applied irrigation water.  Use of IRRIGATE has grown rapidly in Nebraska
and in addition to being used as an educational tool it was also used by private
individuals, private irrigation scheduling companies, irrigation districts and
others to schedule irrigations for approximately 25,000 acres during the 1977 sea-
son.  A mathematical model, CORNGRO, has been developed to predict daily crop water
use, plant growth, and crop yield for corn,  CORNGRO has the capability of pre-
dicting corn yield as a result of different irrigation timing and amounts.  The
model can be useful in evaluating irrigation scheduling procedures in terms of
yield, water conservation, energy conservation, production costs, and analyzing
alternate levels of water applied,  Tests of the model using data available from
Mead, Nebraska indicate the model has considerable predictive power, although not
all of the dynamics of crop growth are modeled in precise detail.
                                        162

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                                   SECTION XV


                     WATER QUANTITY MANAGEMENT AND CONTROL

                  CONTROL OF WATER ON THE SURFACE  (GROUP 04A)


77:04A-001
LINKED MODELS FOR MANAGING RIVER BASIN SALT BALANCE,
Helweg, O.J., and Labadie, J.W.
California University, Department of Civil Engineering, Davis, California,
Water Resources Research, Vol. 13, No. 2, p 329r-336, April 1977. 6 fig, 8 ref.

Descriptors:  *River basins, *Salt balance, *0ptimization, *Simulation analysis,
*Economic efficiency, *Water quality control, Management, Ground-water, Surface
waters, Streams, Aquifers, Downstream, Wells, Pumping, Irrigation, Demand,
Algorithms, Conjunctive use, Decision making, Equations.


A pressing problem facing the irrigation intensive areas of the world is the
increasing salinity of groundwater.  A cost-effective salinity management tech-
nique, called the accelerated salt transport  (Astran) method, has been developed
which may be feasible for many stream aquifer systems.  The basic idea is to
encourage application of pumped water downstream of the well from which it is
pumped rather than within rts vicinity.  In this way a mechanism is established
for accelerating the downstream transport of salts in the groundwater at a more
rapid rate than would occur naturally through convection and dispersion while
still satisfying irrigation demands.  A management algorithm is developed for
implementing the Astran method which combines an optimizing model with a detailed
quantity-quality simulation model.  The optimizing model generates least-cost
alternatives for distributing water over the basin.  These alternatives are
subsequently examined by the simulation model as to their effectiveness in con-
trolling the salt balance.  A parameter in the optimizing model can be adjusted
so as to produce a desired degree of salinity control.  The management algorithm
has been applied to the Bonsall Subbasin in the San Luis Rey River Basin in
order to test its effectiveness.  Results of the case study indicate that the
Astran method:   (1) is cost-effective, requiring roughly 10% of the cost of
tiling for this area; (2) encourages balanced conjunctive use of surface water
and groundwater; and  (3) is flexible enough to respond to future management
needs.


77:04A-002
FIELD EVALUATION OF SPRINKLER IRRIGATION FOR MANAGEMENT OF IRRIGATION RETURN FLOW,
Willardson, L.S., and Hanks, R.J.
Utah State University, Department of Agricultural and Irrigation Engineering,
Logan, Utah.
Proceedings of National Conference on Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado, p 109-114, May 16-19, 1977.
6 fig, 2 tab, 4 ref.

Descriptors:  Salinity,  Saline soils, Saline water. Irrigation, Utah, Leaching.

Sprinkler irrigation offers one alternative for control of irrigation water ap-
plication that influences quality of return flow,  A two-year field scale study
of soil solution response to controlled water application using sprinklers was
conducted in the Ashley Valley near Vernal, Utah,  The design level of water
control was attained with high coefficients of uniformity but the soil solution
did not respond as expected.  The soil acted both as a source and a sink for
salt.  Root zone salinity was only slightly affected by different leaching
fractions.  Minimum average leaching fractions obtainable are influenced by
both the hydraulic design and operation of the system.
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77:04A-003
EFFECTS OF IRRIGATION MANAGEMENT ON SOIL SALINITY AND RETURN FLOW QUALITY,
Wierenga, P.J., and Sisson, J.B.
New Mexico State University, College of Agriculture and Home Economics,
Department of Agronomy, Las Cruces, New Mexico.
Proceedings of National Conference on Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado, p 115-121, May 16-19. 1977.
3 fig, 3 tab, 12 ref.

Descriptors:  Saline soils, Irrigation systems, Surface irrigation, Water quality,
Groundwater, Irrigation efficiency, Soil water.

A field plot study was conducted to determine the effects of controlled surface
irrigation and trickle irrigation on soil salinity, and on the quality and quan-
tity of irrigation return flow.  Changes in soil salinity were determined by
taking extensive soil samples at least once a year..  Return flow quality was
measured on soil solution removed through vacuum samplers in the subsoil of each
plot, and by analyzing the water quality at various levels below the groundwater
and in a nearby drain.  The quantity of return flow was estimated from crop
growth and weather data, and amounts of water applied.  This method was found
more reliable than several other methods used for determining percolation losses.
Results of the first three years of this ongoing study showed that a larger change
in soil salinity was produced by altering irrigation frequency than by changing
irrigation efficiency.  Irrigating when 50 percent of the soil water had been
depleted was the irrigation frequency most conducive to salt retention in the
upper soil profile.  However, different irrigation efficiencies and frequencies
had no significant effect on cotton yield due in part to the large spatial
variability of the physical properties of the soil at the site.


77:04A-004
EFFECT OF IRRIGATION SYSTEMS ON WATER USE EFFICIENCY AND SOIL WATER SOLUTE
CONCENTRATIONS,
Wendt, C.W., Onken, A.B., Wilke, O.C., Hargrove, R., and Bausch, W,
Texas Agricultural Experiment Station, Lubbock, Texas.
Proceedings of National Conference on Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado, p 123-131, May 16-19, 1977.
9 tab, 8 ref.

Descriptors:  Subsurface irrigation, Irrigation efficiency, Sprinkler irrigation,
Furrow irrigation, Texas, Irrigation water, Return flow.

The effect of spinkler irrigation  (Sp), furrow irrigation  (.F), subirrigation  (Su),
and automated subirrigation  (ASu) systems on water use efficiency and soil water
solute concentration was evaluated at a field site in Knox County, Texas.  Signifi-
cant differences existed in the irrigation water requirement of sweet corn irrigated
by the different systems  (F > Sp approximately = Su > ASu).  However, little
difference in total water requirement existed between systems --  the soil water
was utilized more efficiently  (ASu > Su approximately = Sp > F),  Automation of
irrigation systems offers the possibility of significantly enhancing irrigation
water use efficiency of supplemental irrigated areas,  Soil water solute concen-
trations were too low to be of concern relative to degrading the quality of ir-
rigation return flow due to the dilution effect of rainfall.  In most cases, at
depths below 3.0m, the concentrations of the above solutes in the soil were less
than those of the irrigation water.  Although soil water solutes were not a pro-
blem in the irrigation return flows, the lower concentrations of the ASu and Su
systems indicate that they may be superior to F and Sp systems in maintaining
the quality of irrigation return flows where solutes are a problem.


77:04A-005
AN ECONOMIC ANALYSIS OF IRRIGATION RETURN FLOW RECYCLE SYSTEMS IN THE CENTRAL
VALLEY OF CALIFORNIA,
Kinney, W., Horner, G.L., and Tanji, K.K.
California University, Department of Agricultural Economics, Davis, California.
Proceedings of National Conference on Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado, p 175-182, May 16^19, 1977.
2 tab, 6 ref, 1 append.

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Descriptors:  Recycling, Irrigation districts,  Return  flow.

Irrigation return flow recycle systems  have  been  used  in California  for  a  number
of years under a variety of crop rotations,  soil  characteristics  and qualities
of irrigation water.  Recycle systems operating on the field,  farm and district
level were compared on the basis of cost  in  two areas  of the  San  Joaquin Valley.
The effects of three scales of recycle  systems  on the  least-cost  combination  of
irrigation water delivery systems  and water  management techniques were evaluated.


77:04A-006
ON-PARM METHODS FOR CONTROLLING SEDIMENT  AND NUTRIENT  LOSSES,
Fitzsimmons, D.W., Brockway, C.E., Busch,  J.R., Lewis, G.C,,'and  McMaster,  G.M.
Idaho University, Department of Agricultural Engineering, Moscow, Idaho.
Proceedings of National Conference on Irrigation  Return Flow  Quality Management,
Colorado State University, Fort Collins,  Colorado, p 183-191,  May 16-19, 1977.
2  fig, 12 tab, 6 ref.

Descriptors:  Sediments, Nutrients, Idaho,  Irrigation, Irrigation water, Runoff,
Return flow, Sediment yield, Beans, Phosphates, Irrigation practices.

Field experiments were conducted in the Boise and Magic Valley areas of  southern
Idaho during the 1975 and 1976 irrigation seasons to evaluate on-farm methods
for controlling sediment and nutrient losses from irrigated fields.   In  one
experiment, four 1.7 ha plots of field  corn  were  continuously monitored  during
the two irrigation  seasons.  Varying  furrow  stream sizes and  stream  cutback methods
were used to apply  the  same total  amounts of irrigation water to  three of  the plots,
No control  measures were used on the  fourth  plot.  Runoff from two of. the  first
three plots were run through a vegetated  buffer strip at the  lower end of  the
field and then a settling basin.   Runoff  from the other two plots were run through
a  basin only.  The  effects of each treatment and  control measure  on  the  quality
and quantity of return  flow from these  plots are  presented.   The  results of
sediment and nutrient yield determinations on several  other field sites  in the
two study areas are also presented.   The  effects  of various combinations of soil
types, crops, irrigation practices and  sediment retention devices on sediment
and nutrient losses from these sites  were evaluated,


 77:04A-007
WATER DISTRIBUTION  PATTERNS FOR SPRINKLER AND SURFACE IRRIGATION  SYSTEMS,
Karmeli, D.
Colorado State University, Department of  Agricultural  and Chemical Engineering,
Fort Collins, Colorado.
 Proceedings of National Conference on Irrigation  Return Flow Quality Management,
 Colorado State University, Fort Collins,  Colorado, p 233-251, May 16-19, 1977,
 11 fig,  4 tab, 19 ref,  26 equ.

 Descriptors:  Model studies,  Simulation analysis, Sprinkler irrigation,  Irrigation
 efficiency.

A linear fit model  for  sprinkler and  power curve  fit model for surface  irrigation
 systems, are suggested  to represent  actual patterns of distributions in  irrigated
 fields.  Both models allow for efficient  calculation of surplus and  deficient
 volumes, as well as the various relevant  efficiencies.  Both environmental and
 economical  aspects  require desired efficiency combinations to be  followed,and this
 may be done when the irrigation systems are represented by the suggested models.
 Also,  the various functions  related  to  irrigation performance, may be integrated
 to reach optimal results.


 77:04A-008
 APPLICATION OF MODERN  IRRIGATION TECHNOLOGY IN THE MESILLA VALLEY, NEW  MEXICO,
 Sammis, T,W., and Hohn, C.M.
 New Mexico  State University,  Department of Agricultural Engineering, Las Cruces,
 New Mexico.
 Proceedings of National Conference on Irrigation Return Flow Quality Management,
 Colorado State University, Fort Collins,  Colorado, p  269-276, May 16-19, 1977,
 2 fig,  4 tab, 3 ref.
                                          165

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Descriptors:  Irrigation systems, Surface irrigation,  Irrigation  efficiency,
Saline soils, Rio Grande River, Return flow, Irrigation, Orchards, Alfalfa,
Root zone.

Current engineering technology is being applied to a Demonstration Farm in  the
Mesilla Valley, New Mexico to demonstrate the feasibility of decreasing the
large amount of salt returned to the Rio Grande River  System through  return
flow drainage.  The reduction in return flow is accomplished by irrigation
scheduling  techniques and more efficient irrigation methods, such as  drip ir-
rigation.   A small pecan orchard has been converted from flood irrigation to
drip irrigation resulting in the water application reduction greater  than 50
percent with a marked visible increase in growth rate  over that of the  previous
year.  Irrigation scheduling increased the efficiency  of irrigation timing  on
the farm resulted in an improved soil condition, in some cases one less irriga-
tion.  Monitoring of the applied water on the Demonstration Farm  resulted in
estimates of irrigation efficiencies for the season ranging from  54 percent
for wheat to 97 percent for alfalfa.  The high efficiency for alfalfa was
probably due to the high water table which contributed water to the crops in
addition to the applied water.  Monitoring of the soil salinity is enabling
the investigators to follow the movement and buildup of salt below the  root
zone with increased irrigation efficiencies.  Information gained  from the
Demonstration Farm is being used by the Cooperative Extension Service in an
educational program.  The various methods used to make the public aware of
EPA's efforts on the Demonstration Farm include media  releases, tour  brochures,
and field days.


77:04A-009
ECONOMICS OF CONTROLLING IRRIGATION RETURN FLOW IN THE MESILLA VALLEY,  NEW
MEXICO,
Lansford, R.R., Gelhar, L,W., and Creel, B,J.
New Mexico  State University, Las Cruces, New Mexico.
Proceedings of National Conference on Irrigation Return Flow Quality  Management,
Colorado State University, Fort Collins,. Colorado, p 277^282, May 16^-19, 1977.
4  fig, 1 tab, 6 ref.

Descriptors:  Model studies, Water quality, Water management (Applied),  Irri-
gation, Irrigation water. Return flow.

Preliminary budgeting indicates that net returns of water are reduced by incor-
poration of irrigation water management practices, but that irrigation  water
requirements may be reduced.  Thus, incorporation of these improved irrigation
water management practices may be feasible under restricted water availability
constraints.  If irrigation water use can be reduced without affecting  the  local
agricultural economy by optimal crop selection incorporating the  improved
practices,  the quantity of irrigation return flows may be reduced and possibly
the quality may be improved.  Further evaluation in the current and last year
of the three-year project will provide opportunities for refinements  and sensiti-
vity evaluation in the linear programming model as well as more extensive itera-
tive analysis with the hydrological model,


77:04A-010
WELLTON-MOHAWK ON-FARM SYSTEMS IMPROVEMENT PROGRAM,
Swenson, R.S.
United States Department of Agriculture, Soil Conservation Service, Phoenix,
Arizona.
Proceedings of National Conference on Irrigation Return Flow Quality  Management,
Colorado State University, Fort Collins, Colorado, p 349-351, May 16-19, 1977,
1 tab, 2 ref.

Descriptors:  Irrigation, Irrigation systems, Irrigation practices, Irrigation
efficiency, Return flow.

The objective of the SCS in the Wellton-Mohawk Irrigation Improvement  Program  is
to increase irrigation efficiency on farms in the district and thereby  reduce
return flows from the district.  To accomplish this, the SCS enters into contracts
with eligible landowners and operators to implement conservation  practices  that
will further the program goals.  Cost sharing is provided on a 75% federal,  25%
cooperator  basis.
                                        1GG

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77:04A-011
THE USE OF LONG-THROATED FLUMES TO MEASURE PLOWS  IN  IRRIGATION  AND DRAINACF
CANALS,
Bos, M.G.
International Institute for Land Reclamation  and  Improvement, Waqenengin,  The
Netherlands.
Agricultural Water Management, Vol.  1,  No, 2,  p 111-126,  September 1977.   7  fiq,
2 tab, 9 ref, 20 equ, 1 append.

Descriptors:  Water measure, Flow measurement, Measurement,  Flumes,  Flow rates,
Hydraulic, Irrigation water, Weirs.

Presented in this paper is a set of  easy-to-use formulae  that give an  accurate
head-discharge relationship for long-throated  flumes with a  prismatic  throat
cross-section.  The method by which  the formulae  have been derived is  the  same
for all  long-throated flumes, regardless of the shape of  their  throat  cross-
sections.  As a result, the value of the discharge coefficient  is independent
of this  shape and is a function of the  ratio  of the  upstream energy  head over
the flume to the flow-wise length of the throat.  The formulae  and coefficient
values in this paper also apply to broad-crested  weirs with  rounded  upstream
nose.


77:04A-012
BIBLIOGRAPHY ON DISCHARGE MEASUREMENT TECHNIQUES,
The Task Committee on Flow Measurement  of the  Committee on Hydraulic Structures
of the Hydraulics Division,
American Society of Civil Engineers, New York, New York,
Journal  of the Hydraulics Division,  American  Society of Civil Engineers, Vol.
103,  No. HY8, p 889-903, August 1977,

Descriptors;  Flow measurement, Bibliographies, Discharge measurement, Flow
rates, Irrigation, Irrigation efficiency.

The Task Committee on Discharge Measurement was authorized by the Hydraulics
Division in August 1968.  The Task Committee's charge relative  to flow measure-
ment  included a review of techniques available, the  encouragement of research
in  flow  measurement, and the preparation of a  final  report,  A  review  of the
literature was made, resulting in the substantial bibliography  which constitutes
this  report.


77:04A-013
DESIGN OF IRRIGATION PIPE LATERALS WITH MULTIPLE  OUTLETS,
Perold,  R.P.
Division of Agricultural Engineering, Department  of  Agricultural Technical
Services, Stellonbosch, Republic of  South Africa,
Journal  of  the Irrigation and Drainage  Division,  American Society of Civil
Engineers, Vol. 103, No. IR2, p 179-195, June 1977,   8 fig,  9 ref.

Descriptors:  Irrigation, Irrigation systems,  Irrigation  design,. Irrigation
engineering, Hydraulics, Hydraulic design,

Design criteria for the design of multiple outlet irrigation pipe laterals are
examined and the mean deviation is recommended as the criterion, The  problem
of  the sloping pipe lateral design  (constant  diameter) can be solved precisely
by  computing a series of dimensionless  solutions  and calculating the mean
deviation in each case, as well as the  design parameters, Rs, and Hs,  which
 state the relation between frictional losses  and  gradient differences, respectively,
to  the design outlet pressure.  A design chart is presented  from which the per*-
missible number of outlets for a given  value  of  the  mean  deviation can be  read,
or  from  which Rs can be read for a given number  of  outlets so that the pipe  dia-
meter can be found.  Suitable programs  for a  pocket  calculator  are given  so
 that  the inlet pressure required for a  particular case can be  found.  Programs
are also given so that the final value  of the mean  deviation can be  checked
or  the pressures at intermediate outlets determined.
                                          167

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77:04A-014
DESIGN OF DRIP IRRIGATION SUBMAIN,
Wu, I., and Gitlin, H.M.
Hawaii University, Department of Agricultural Engineering, Honolulu, Hawaii.
Journal of the Irrigation and Drainage Division, American Society of Civil
Engineers, Vol. 103, No. IR2, p 231-243, June 1977.  9 fig, 4 ref.

Descriptors:  Irrigation, Irrigation systems, Irrigation design, Hydraulics,
Hydraulic design.

A  submain is a part of a drip irrigation system.  It is used as a control having
the following functions:  (1) To control irrigation application;  (2) to  se-
quentially irrigate separate fields; and (3) to reduce main line pressure to  the
lateral operating pressure.  The design of submains is based on both capacity
and uniformity.  Capacity means that submain size should be designed to  deliver
the required amount of water to irrigate the field.  Uniformity means that the
submain should be designed to minimize pressure variation so the flow into all
lateral lines will be nearly equal.  The submain is hydraulically the same as
lateral lines having a steady spatially varied flow with equally spaced  lateral
outflows.  Design of the submain will be based on a study of hydraulics  and
energy relations.  The design chart developed for laterals can also be used for
submains, provided a set of charts is made for different possible submain sizes.
This  paper presents a general design chart that can be used for different sub-
main  sizes and a simplified submain chart that can be used to simplify and
speed up design.  Considerations are also made for irregularly shaped fields,


77:04A-015
SEEPAGE CHARACTERISTICS OF STABLE CHANNELS,
Gill, M.A.
Ahmadu Bello University, Department of Civil Engineering, Zaria, Nigeria,
Journal of the Irrigation and Drainage Division, American Society of Civil
Engineers, Vol. 103, No. IR1, p 95-99, March 1977.  2 fig,, 4 ref.

Descriptors:  Seepage, Channels, Channel flow, Channel erosion, Channel  improve-
ment, Hydraulics.

Seepage characteristics of hydraulically stable channels are investigated using
the method of Zhukovsky's function.  It was found that a function of the form
given in Equation 2 describes seepage characteristics of a channel whose shape
is defined by a cosine curve.  This shape conforms exactly to the shape  of a
hydraulically stable channel.  Expressions for seepage discharge, streamlines,
and equipotential lines are obtained, and results are demonstrated graphically
for a channel in which H = 3, and B = 10 units of length.


77:04A-016
PULSE IRRIGATION—DESIGN FOR OPERATING SETS,
Karmeli, D., and Peri,  G.
Colorado State University,  Department of Agricultural Engineering, Fort Collins,
Colorado.
Journal of the Irrigation and Drainage Division,  Proceedings of the American
Society of Civil Engineers,  Vol.  103,  No. IRl,  p 33-41,  March 1977.  1 fig,  3 tab,
1 ref.
(See 77:03F-021)


77:04A-017
ALGEBRAIC COMPUTATION OF FLOW IN BORDER IRRIGATION,
Strelkoff,  T.
California University,  Department of Water  Science and Civil Engineering, Davis,
California.
Journal of the Irrigation and Drainage Division,  American Society of Civil
Engineers,  Vol.  103,  No.  IRS,  p 357-377, September 1977,   10 fig, 6 ref.

Descriptors:   Border irrigation,  Surface irrigation,  Model studies, Simulation
analysis,  Infiltration,  Irrigation design.
                                        168

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The elements of a model of surface  irrigation  in  a border have been  presented.
A sufficient number of physical assumptions  have  been made to allow  the  phenomena
to be described by algebraic equations.   This  involves adaptation of simple  shapes
to both the surface and subsurface  profiles.   The absolute value of  depth at key
points in the surface profile  is  related  to  discharge through the assumption that
the depth is normal.  In the subsurface profile,  the depth at key points is  related
to the time water has been available  there for infiltration through  an infiltration-
time formula.


77:04A-018
BORDER-IRRIGATION HYDRAULICS WITH ZERO INERTIA,
Strelkoff, T., and Katopodes,  N.D,
California University, Water Science  and  Engineering Section, Land,  Air  and  Water
Resources, Davis, California.
Journal of the Irrigation and  Drainage Division,  American Society of Civil Engineers,
Vol. 103, No. IRS, p  325-342,  September 1977.   7  fig, 19 ref.

Descriptors:  Border  irrigation,  Surface  irrigation, Irrigation, Irrigation
practices, Irrigation systems,  Irrigation engineering, Model studies.

A model of border irrigation based  on the Saint-Venant equations with the accelera-
tion  (.inertia) terms  deleted has  been constructed.  For the test cases presented,
agreement with more complex  (and  costly)  models and with experiment  has  been satis-
factory -


77:04A-019
HYDRODYNAMICS OF BORDER  IRRIGATION—COMPLETE MODEL,
Katopodes, N.D., and  Strelkoff, T,
California University, Department of  Water Science and Engineering,  Davis,
California.
Journal of "the Irrigation and  Drainage Division,  American.Society of Civil
Engineers, Vol.  103,  No, IR3,  p 309-324,  September 1977,  5 fig, 1 tab,  6 ref.

Descriptors:  Border  irrigation,  Irrigation, Irrigation practices, Irrigation
 systems, Model studies.  Simulation  analysis, Hydrodynamics, Irrigation engineering,
 Surface irrigation.

The  phenomenon of surface irrigation  from start to finish is modeled mathematically,
using  the method of characteristics.  The solution, based on prescribed  time in-
 crements, is correct  to  second-order  accuracy, and the iterative scheme  had  second-
 order  rate of convergence.   The cost  and  accuracy of the model were  tested against
 existing  field data and  other  models. Approximately 400 FORTRAN statements  are
 required  for the complete code.   The  processing time on a Burroughs  6700 digital
 computer  ranges  from  3 minutes to 5 minutes  for a complete irrigation.  At $165/hr,
 this amounts to  $10-$15  per  run.  The aim of this work was a complete hydrodynamic
 model  that can be trusted and  operated  by anyone at moderate expense. It is not
 intended  for design or  specific applications.


 77:04A-020
 IMPLICATIONS OF  IRRIGATION  SYSTEM EFFICIENCIES,
 Kruse,  E.G., and Heerman, D.F.
 United States Department of  Agriculture,  Agricultural Research Service,  Fort Collins,
 Colorado  80523.
 Journal of Soil  and Water Conservation, Vol. 32,  No, 6, p 265-270, November^-
 December, 1977.   32 ref.

 Descriptors:   Irrigation,  Irrigation  efficiency,  Irrigation water. Irrigation
 system, Irrigation  engineering.  Sprinkler irrigation, Surface irrigation, Furrow
 irrigation,  Tailwater, Water quality, Water  resources, Water shortage, Water
 supply, Water conservation.

 Field  or  farm  irrigation efficiencies vary greatly, depending on water supply,
 type of irrigation  system,  crop,  soil,  and especially the level of management
 provided  by  the  irrigator.   Sprinkler and trickle systems simplify some  management
 decisions by virtue of  their design,  at  the  expense of higher capital costs.
                                           169

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Both generally have higher application efficiences than conventional surface
systems.  But surface irrigation using tailwater -return facilities or level-
basin concepts, may also be efficient.  Irrigation efficiency is more important
today than ever before because of limited supplies of water and energy-  Irriga-
tors must look closely at attainable efficiencies of new or improved irrigation
systems if they are pumping water, if their seasonal water supplies are only
marginally adequate for crop needs, or if water lost from their systems degrades
water quality for downstream users.  There are situations, however, where gravity
flow provides adequate water, and the quality of surface and subsurface return
flow equals that of the irrigation water supply.  In these cases, use of water
over an entire project or river basin is a more important consideration than
irrigation efficiencies on individual farms.


77:04A-021
PERCEPTION OF ENVIRONMENTAL DAMAGE ASSOCIATED WITH IRRIGATION,
Jackson, R.H.
Brighain Young University, Department of Geography, Provo, Utah  84602.
Journal of Environmental Management, Vol. 5, No. 2, p 115-126, April 1977.  5
fig, 3 tab, 4 ref.

Descriptors:  Irrigation, Irrigation practices, Irrigation effects, Salinity,
Erosion, Water conservation, Environmental effects, Environmental control.

In order to determine the level of awareness of environmental damage associated
with irrigation, questionnaires were administered to farmers and nonfarmers in
Utah Valley, Utah.  The results of the survey revealed that farmers seem to be
more concerned about the damages from irrigation as determined by their volun-
tary responses to open-ended questions about irrigation damage,  One-fourth
of the farmers indicated they perceived some damage from irrigation, but only
10% of the nonfarmers so responded.  When asked whether they were aware of specific
damages, however, three times as many nonfarmers as farmers indicated awareness
of such damage as erosion, alkalinity, waterlogging, and so forth.  Farmer percep-
tion of destruction associated with irrigation increased only slightly when asked
about specific types of damage.  The level of awareness of damage for both groups
was much lower than anticipated, indicating a lack of perception of damage.  Several
hypotheses are suggested to account for this low level of perception,


77:04A-022
FEASIBILITY OF INTERBASIN WATER TRANSFER,
Aron, G., White, E.L., and Coelen, S,P.
Pennsylvania State University, Department of Civil Engineering,, University Park,
Pennsylvania.
Water Resources Bulletin, Vol. 13, No, 5, p 1021-1034, October 1977.  5 figp 1
tab, 15 ref.

Descriptors:  *Inter-basin transfers, *Water resources, *Alternative planning,
*Feasibility studies, *Water supply, *Flood protection, *Cost comparisons, *Reser-
voirs, Regional analysis, Economic feasibility, Hydrologic aspects, Flood control,
Low-flow augmentation, River basins, Water storage, Benefits, Costs, Equations,

Interbasin water transfer is one of the most controversial water; resources plan-
ning topics.  Local communities, particularly those from which the water is to
be taken (donor regions), generate enough opposition to doom many projects to
failure.  The opposition often arises because planners have traditionally considered
excess water a free commodity rather than a marketable resource.  To make transfer
schemes mutually acceptable to donor and recipient regions, visible benefits must
be offered.  Agreement must be made on an acceptable purchase price and/or on other
benefits such as a substantial amount of low flow augmentation or possibly some
degree of flood control on the donor source stream.  The hydrologic and economic
feasibility of water transfer from the East Susquehanna River basin to the Delaware
Reservoir System for supplemental supply to the New York City area has been inves-
tigated.  Nine alternative schemes for diversions up to 400 cfs and compensations
in the form of low flow augmentation and/or flood control were considered resulting
in unit costs to the recipient region between $90 and $380/mg.  If only the minimum
state-mandated flow is released to the Susquehanna River, the savings to the water
recipients would be sufficient to pay a purchase price of about $21/mg, which
would be equivalent to a total amount of $420,000/year for an average export of
100 cfs.
                                         170

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77:04A-023
STEADY INFILTRATION FROM A DITCH: THEORY AND EXPERIMENT
Batu, V.
Karadeniz Teknik University, Department of Civil  Engineering  and Architecture
Trabzon (Turkey).
Soil Science Society of America Journal, Vol.  41, No,  4,  p  677-682, July-August,


Descriptors:  * Infiltration, *Ditches, *Model  studies, laboratory tests,
Mathematical models, Hydraulic conductivity, Flow,  Steady flow. Soil water, Soil
water movement, Moisture content, Distribution patterns,  Soil physics, Soil
science.

The two-dimensional, steady-state water flow equation, which  is based on the
assumption that the hydraulic conductivity is  an  exponential  function of the
soil water pressure, was solved for a ditch on the  soil surface,  The results
included expressions describing the distributions of matric flux potential
and water content.  Measured water contents were  compared with this mathematical
model and with other models.


77:04A-024
MAINLINE INSTALLATION,
Hamisch, F.
Ag Water, 22008 Riverside, Shatter, California 93263,
Drip/Trickle Irrigation, Vol. 2, No. 2, p 12,  30,   1 fig.

Descriptors:  Irrigation systems, Irrigation practices, Irrigation design,
Hydraulics, Pipes, Piping systems, Pipelines.

The mainline is an integral" part of the drip irrigation system.  In order for
the  installed pipeline to perform properly, it must be properly designed.  The
design of the pipeline has been previously discussed in the last issue and will
not be covered here.  The pipeline designated  must  be  of  the  proper size with
appropriate protection devices, such as pressure  relief valves, vacuum relief
Valves, air release valves and check valves.


77:04A-025
EXPERIMENTAL EVALUATION OF THEORETICAL SOLUTIONS  FOR SUBSURFACE DRAINAGE AND
IRRIGATION,
Tang, Y.K., and Skaggs, R.W.
North Carolina State University, Department of Biological and Agricultural
Engineering, Raleigh, North Carolina  27607.
Water Resources Research, Vol. 13, No, 6, p 957-965, December 1977,  12 fig,
3 tab,  23 ref, 15 equ.

Descriptors:  Soil water, Soil water movement, Saturated  flow, Drainage,
Laboratory tests, Unsaturated flow, Hydraulic  conductivity, Water table,
Subsurface irrigation. Irrigation, Irrigation  practices.

The  Richards equation for two-dimensional saturated^unsaturated water movement
was  solved for drainage and subirrigation boundary  conditions by using finite
difference methods.  The solutions were compared  to results of experiments
conducted for various initial and boundary conditions  in  a  large laboratory
soil tank.  The soil water characteristic and  hydraulic conductivity function
were measured by conventional methods and used as inputs  in the numerical
solution to the Richards equation.  Although predicted water  table drawdown
was  somewhat slower than was observed, agreement  between  the  numerical solutions
and  experimental observations was generally good.   Approximate methods were also
used to characterize drainage and subirrigation and were  found to be in good
agreement with solutions to the more exact Richards equation  and with experimental
results when a variable drainage porosity is considered.  In  view of significant
field variability of soil properties and the difficulty of measuring those
properties, required by the Richards equation, it appears that simpler, approxi-^
mate methods will continue to be more useful than the  exact approach for predicting
water table movement under drainage and subirrigation  conditions,
                                         171

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77:04A-026
OBSERVATIONS OF SOIL WATER AND SALT MOVEMENT UNDER DRIP AND FLOOD IRRIGATION
IN AN APPLE ORCHARD,
Obbink, J.G., and Alexander, D,M.
Commonwealth Scientific and Industrial Research Organization, Division of
Horticultural Research, Merbein, Victoria  3505, Australia,
Agricultural Water Management, Vol. 1, No. 2, p 179-190, September 1977.  4
fig, 3 tab, 10 ref.

Descriptors:  Soil water, Soil water movement, Soil moisture, Salts, Salinity,
Saline soils. Flood irrigation, Surface irrigation, Irrigation practices.
Irrigation systems, Orchards, Apples, Crop response.

Part of a mature apple orchard, previously flood irrigated, was converted to
drip irrigation in August 1971 and maintained until May 1975,  The remainder
of the orchard was irrigated as before.  Annual estimates were made of moisture,
total soluble salts and chloride content of soil samples and of growth, leaf
chloride and yield of trees from the two irrigation treatments.  Soil moisture
was also monitored with a neutron moisture meter.  Very high salt concentrations
were observed in the various soil layers in the drip irrigation treatment.  The
flood irrigation treatment had lower and less variable concentrations of salts.
Yields and chloride content of leaves sampled each January did not differ signifi-
cantly between treatments.  Tree girths were smaller under drip irrigation.
The drip system, using a low pressure head, filtered water and outlets wrapped
in fiberglass, operated satisfactorily for the period of the trail,


77:04A-027
UNIFORM IRRIGATION WITH A LOW-HEAD BUBBLER SYSTEM,
Rawlins, S.L,
United States Department of Agriculture, Agricultural Research Service, United
States Salinity Laboratory, 4500 Glenwood Drive, Riverside,,California  92501.
Agricultural Water Management, Vol. 1, No, 2, p 167-178, September 1977,  8 fig,
1 tab, 3 ref.

Descriptors:  Irrigation, Irrigation systems, Irrigation efficiency, Irrigation
practices. Gravitational water, Irrigation engineering, Hydraulics.

Existing closed-conduit irrigation systems are capable of saving water by increasing
application uniformity.  But, because most of them require pumping to pressurize
water for distribution, the water is saved often at the expense of increased energy
consumption.  This paper describes a new irrigation system that reduces the energy
requirement by using inexpensive, thin-walled, corrugated plastic pipe of suf^
ficient diameter that the pressure head often available from a surface ditch is
sufficient,  A simple installation technique, giving extremely high application
uniformity, is described for the system for permanent crops.  Costs for the system
can be less than for comparable sprinkler or drip irrigation systems.


77:04A-028
LATERAL FLUSHING VALVES:  A GUIDE TO PLANNING, INSTALLATION, OPERATION AND MAINTE-
NANCE ,
Beth, F.
AMIAD Filtration and Irrigation Systems, M,P, Hevel, Khorazim, Israel,
Drip/Trickle Irrigation, Vol. 2, No, 1, p 27-29, January-February, 1977,

Descriptors:  Irrigation, Irrigation systems, Irrigation practices, Suspended
solids, Sprinkler irrigation, Orifices, Velocity.

There is now a well recognized need for regular cleaning of irrigation lines where
equipment with relatively small orifices is used; as with sprinklers, spray and
mist nozzles, drippers, and simple orifices.  The need becomes even more critical
when the dirt load in the available water is high.  The ability of a system to
flush the irrigation network is provided in the lateral flushing valve, which has
been developed during the last few years.  It provides an automatic flushing
action for cleaning all the irrigation lines at least once during each irrigation
cycle.
                                          172

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77:04A-029
INFLUENCE OF TRICKLE AND SURFACE IRRIGATION  ON  RETURN  FLOW QUALITY,
Wierenga, P.J.
New Mexico State University, Department  of Agronomy, Las  Cruces,  New Mexico
88003.
Publication No. EPA-600/2-77-093, May  1977.   158  p,  29 fig,  48  tab,  12  ref,  1
append.

Descriptors:  Surface irrigation, Irrigation systems,  Irrigation  practices,
Return flow. Cotton, Salts, Salinity,  Soil investigations,  Irrigation efficiency,
Soil water, Soil moisture.

A field study was conducted to determine the effects of controlled  surface ir-
rigation and trickle irrigation  on  the quality  and quantity of  irrigation
return flow.  Trickle irrigation resulted in cotton yields (3-year  averages)
which were 8.2 percent higher than  those from the surface-irrigated  plots,
and with trickle irrigation 24 percent less  water was  used than with surface ir-
rigation.  Data on  soil  salt accumulation in the  surface-irrigated  plots showed
an increase in salt concentration with depth to the clay-sand interface.  Below
the clay-sand interface  at 80-100 cm,  a  sharp decrease in salt  concentration was
observed.  It appeared that a larger change  in  soil salinity was  produced by
altering irrigation frequency than  by  changing  irrigation efficiency.  Irrigating
when  50 percent of  the soil water had  been depleted was the irrigation  frequency
most  conducive to salt retention by the  soils.  It appeared that  trickle irriga-
tion  was quite effective in controlling  the  volume of  return flow,  while main-
taining relatively  low salinity  levels in the soil around the trickle emitters.
Accumulated salts were readily moved away from  trickle lines by heavy preplant
irrigations or intense rains.


77:04A-030
MINIMIZING SALT IN  RETURN FLOW THROUGH IRRIGATION MANAGEMENT,
United States Department of Agriculturef Agricultural  Research  Service, United
States Salinity Laboratory, Riverside, California  92502,
Publication No. EPA-600/2-77-134, July 1977. Ill p, 43 fig, 37 tab, 23 ref,
2 append.

Descriptors:  Arizona, Salts, Irrigation, Irrigation effects, Return flow,
Leaching, Alfalfa,  Surface irrigation.

Two  field experiments are being  conducted in southwestern Arizona to investigate
the  potential of reducing the salt  load  in irrigation  return flow by decreased
leaching.  Three leaching treatments of  5,  10,  and 20  percent,  replicated nine
times for citrus and  five times  for alfalfa, were established and compared with
conventional  flood  irrigation management,


77:04A-031
ECONOMIC ANALYSES OF  MULTIPLE PIVOT IRRIGATION  ON A DROUGHTY SOIL,
Otterby, M.A., and  DeBoer, D.W.
Minnesota University, Department of Agricultural  Engineering, Minnesota,
Presented at  the 1977 Annual Meeting of  the  American Society of Agricultural
Engineers, June 26-29, 1977, Raleigh,  North  Carolina,  North Carolina State
University, p  1-18. 4 fig,  6 tab,  8 ref.

Descriptors:   Sprinkler  irrigation, Crop production, Corn, Alfalfa,  Economics,
Soils,  Irrigation practices.

Economic analyses consisting of  annual costs and  returns  were used  to compare
the  profitability of  using one center  pivot  irrigation machine  on more  than  one
field.  Corn  and alfalfa yields  from an  associated field  study  were used as  a
basis for the analyses,


77:04A-032
CENTER PIVOT END SPRINKLER PATTERN  ANALYSIS  AND SELECTION,
Solomon, K.,  and Kodama, M.
Rain Bird Technical Services, Logan, Utah.
Presented at  the 1977 Annual Meeting of  the  American Society of Agricultural
Engineers, June 26-29, 1977, Raleigh,  North  Carolina,  North Carolina State
University, p 1-24.  6 fig,  2 tab,  9 ref, 4  equ.
                                         173

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Descriptors:  Sprinkler irrigation, Irrigation efficiency, Irrigation engineering,
Irrigation design, Sprinklers.

Application patterns from center pivot end sprinklers are determined from
stationary distribution curves and presented in generalized form.  Criteria
are defined for evaluating end sprinkler selections relative to efficient
utilization of land, water, and energy resources.  Procedures are given for
relating sprinklers and machine variables with end sprinkler performance.


77:04A-033
ECONOMICS OF CENTER PIVOT END GUNS,
von Bernuth, R.D.
Rain Bird Sprinkler Manufacturing Company, Logan, Utah.
Presented at the 1977 Annual Meeting of the American Society of Agricultural
Engineers, June 26-29, 1977, Raleigh, North Carolina, North Carolina State
University, p 1-9.  3 fig, 3 tab, 4 ref, 3 equ.

Descriptors:  Sprinkler irrigation, Economics, Irrigation practices, Irrigation
engineering, Irrigation systems.

Gun type sprinklers used as "end guns" on center pivots are a popular means of
gaining additional irrigated acreage.  Several economic factors which result
from using  "end guns" should be considered before arriving at the conclusion
to use one.


77:04A-034
MANUFACTURING VARIATION OF EMITTERS IN TRICKLE IRRIGATION SYSTEMS,
Solomon, K.
Rain Bird Technical Services, Logan, Utah,
Presented at the 1977 Annual Meeting of the American Society of Agricultural
Engineers,  June 26-29, 1977, Raleigh, North Carolina, North Carolina State
University, p 1-20.  4 fig, 4 tab, 9 ref.

Descriptors:  Irrigation systems, Uniformity, Irrigation efficiency, Irrigation,
Irrigation  practices.

Emitter manufacturing variation is shown to significantly affect trickle system
efficiencies.  Values of the Coefficient of Manufacturing Variation are given
for several emission devices.  Emission rate distributions are shown for typical
trickle system conditions, and are evaluated according to Emission Uniformity
and Water Storage Efficiency concepts.


77:04A-035
TRICKLE IRRIGATION:  PREVENTION OF CLOGGING,
Gilbert, R.G., Nakayama, F.S., and Bucks, D.A,
United States Department of Agriculture, Agricultural Research Service, United
States Water Conservation Laboratory, 4331 East Broadway, Phoenix, Arizona  85040.
Presented at the 1977 Annual Meeting of the American Society of Agricultural
Engineers, June 26-29, 1977, Raleigh, North Carolina, North Carolina State
University, p 1-23.  4 fig, 3 tab, 17 ref.

Descriptors:  Clogging, Irrigation, Irrigation systems, Irrigation practices,
Irrigation efficiency, Filtration, Sediment load.

Clogging of several types of trickle emitters delivering Colorado River irrigation
water to mature citrus trees was prevented by a combination of filtration and
chemical treatments, which removed suspended load, and controlled microbial slime
development and precipitation of carbonates.


77:04A-036
SELECTING THE SYSTEM FOR THE SITE,
Shearer, M.N.
Oregon State University, Department of Agricultural Engineering, Corvallis, Oregon.
Proceedings of the 1977 Annual Technical Conference, Irrigation For All Reasons,
p 45-49, February 13-15, 1977.
                                         17 H

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Descriptors:  Irrigation, Irrigation  systems,  Irrigation  practices.  Soils,  Soil
properties, Soil physical properties, Sprinkler  irrigation,  Infiltration,  Soil
texture. Climates.

The title suggests that something about  the  "site"  has  considerable  influence on
the type of irrigation system that  should  be installed  at a  specific location.
If we assume that this is true, we  are confronted with  the problem of identifying
those characteristics which are significant,


77:04A-037
ESTIMATING RUNOFF FROM FURROW IRRIGATION,
Ohmes, F.E., and Manges, H.L.
Garden City Branch Experiment Station, Irrigation Engineering Division,  Garden
City, Kansas.
Transactions of the American Society  of  Agricultural Engineers,  Special  Edition,
Vol. 20SW, p 1089-1092, December 20,  1977.   3  fig,  2 tab, 6  ref,  15  equ.

Descriptors:  Furrow irrigation, Inflow, Runoff, Irrigation  efficiency,  Equations,
Flow rates.

Inflow into and outflow from furrows  during  irrigation  were  measured.  Both theory
and field measurements have shown that runoff  rate  from a graded  furrow  can be
expressed as a function of time for the  rising portion  of the runoff hydrograph
and then becomes constant.  Volume  of runoff can be determined by integrating
the runoff  equations.


77:04A-038
IMPROVED SEMI-AUTOMATIC GATES FOR CUT-BACK SURFACE  IRRIGATION SYSTEMS,
Evans, R.G.
Colorado State University, Agricultural  and  Chemical Engineering  Department,
Fort Collins, Colorado.
Transactions of the American Society  of  Agricultural Engineers,  Special  Edition,
Vol.  20SW,  p 105-108, 112, February 20,  1977,  7 fig, 1 tab, 12  ref.

Descriptors:  Surface irrigation, Gates, Irrigation systems, Automation, Furrow
irrigation, Furrow systems, Irrigation design, Irrigation efficiency,  Irrigation
practices.

One of the  most effective means of  improving application  efficiency  and  uniformity
in furrow  irrigation systems is the cut-back concept.   The cut-back  systems are
very  amendable to automation, however, one of  the largest obstacles  to its  wide-
spread use  has been a lack of simple, inexpensive and reliable equipment to auto-
mate  the systems,  A much simplified  version of  a serni-automatic  "'drop-open" type
of gate has been developed and its  construction, field  operation  and reliability
are discussed in this paper.  A simplified "drop-closed"  type of  gate is also.
discussed.  Both gate types are constructed  of aluminum,  use mechanical  Coret
timers and  are interchangeable,


77:04A-039
TRICKLE AND SPRINKLER IRRIGATION OF GRAIN  SORGHUM,
Ravelo, C.J., Hiler, E.A., and Howell, T.A.
Agricultural Engineering Department,  Texas ASM University, College Station, Texas,
Transactions of the American Society  of  Agricultural Engineers,  Special  Edition,
Vol.  20SW,  p 96-99, February 20, 1977.   5  fig, 3 tab, 18  ref.

Descriptors:  Sprinkler irrigation, Crop response,  Grain  sorghum, Lysimeters,
Crop  production, Irrigation systems,  Water measurement, Water control, Water balance.

Crop  response and water use efficiency  (ratio of grain  yield to  total crop_water
use)  of grain sorghum in an environmentally  controlled  lysimeter  installation^
were  investigated using trickle and sprinkler irrigation. Also,  effects of dif-
ferent trickle irrigation frequencies on the crop growth  and grain yield were
studied.   Results indicate no significant  differences in  yield or water_use ef-
ficiency when using trickle and sprinkler  irrigation with three  irrigations per
week.  Also, trickle irrigation frequencies  of 1, 2, and  3 irrigations per week
appeared to have no significant effect on  yield  or  water  use efficiency  of grain
sorghum on  a.layered sandy loam soil.
                                           175

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77:04A-040
MANAGEMENT OF BED-FURROW IRRIGATED SOIL WITH LIMITED-AND NO-TILLAGE SYSTEMS,
Musick, J.T., Wiese, A.F., and Allen, R.R,
United States Department of Agriculture, Southwestern Great Plains Research
Center, Bushland, Texas.
Transactions of the American Society of Agriculture Engineers, Special Edition,
Vol. 20SW, p 666-672, August 20, 1977.  1 fig, 4 tab, 8 ref.

Descriptors:  Irrigation systems, Furrow systems, Crop production, Management,
Soil water, Irrigation water, Grain sorghum, Furrow irrigation, Cultivation.

Limited and no-tillage management in the Southern Plains can be beneficially
used in irrigated cropping systems.  About 75 percent of the irrigation in this
region is by the graded-furrow method.  Learning how to manage beds and furrows
between crops is essential for development of practical management systems.
This paper reports the results of 7 years of field research in developing and
evaluating limited and no-tillage management systems for irrigated crop pro-
duction.


77:04A-041
SOLAR  TECHNOLOGY APPLICATIONS:  A LITERATURE REVIEW OF SOLAR THERMAL POWERED
IRRIGATION SYSTEMS,
Newkirk,  H.W.
California University, Technical Information Department, Lawrence Livermore
Laboratory, Livermore, California  94550.
Publication No. UCID-17510, June 1977,  18 p, 1 fig.

Descriptors:  Thermal power, Power plants, Irrigation systems. Pumping plants,
Pumping.

This report is a single reference source which summarizes published information
on  solar  thermal powered irrigation systems.  It is a compilation of literature
references and a survey of on-going work in this field.  Much of the material
here outlined is tentative, rapidly changing, and highly variable in time and
place.  The following information should therefore be considered a guide rather
than a set of specifications and will be updated as additional information and
references appear in the literature.


77:04A-042
CONTROL OF  SEDIMENTS, NUTRIENTS, AND ADSORBED BIOCIDES IN SURFACE IRRIGATION
RETURN FLOWS,
Carter, D.L., and Bondurant,  J.A.
United States Department of Agriculture, Agricultural Research Service, Western
Region, Snake River  Conservation Research Center, Kimberly, Idaho  83341,
Publication  No.  EPA-600/2-76-237, October 1976.  45 p, 2 fig, 7 tab, 49 ref.

Descriptors:  Sediments, Sedimentation, Nutrients, Return flow. Surface irrigation,
Sediment  control, Erosion  control, Runoff, Surface runoff,  Technology, Irrigation,
Soil conservation,  Pesticides,  Management.

The technology available  for  the control of  sediments, nutrients, and  adsorbed
biocides  in  surface  irrigation  return  flows  has been reviewed and evaluated.
Some of this technology could be applied  immediately to  reduce sediment and
associated  nutrient  and biocide concentrations  in surface irrigation return  flows.
Much of the  available information needs to be integrated to develop  improved con-
trol practices.  New ideas and  new control technology  are needed.  Economic  incen-
tive programs are needed to  improve  acceptance  of control technology.  The factors
controlling  erosion  and subsequent sediment  concentrations  in surface  irrigation
return flows, and how these  factors  can be managed to  reduce  erosion and  sediment
concentrations are  reviewed  and discussed.
                                         176

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                                  SECTION XVI


                     WATER QUANTITY MANAGEMENT AND CONTROL

                      GROUNDWATER MANAGEMENT  (GROUP 04B)


77:04B-001
MANAGEMENT MODEL FOR GROUNDWATER DEVELOPMENT,
Willis, R.,  and Newman, B.A.
Cornell University, School of Civil and Environmental Engineering, Ithaca, New
York.
Journal of the Water Resources Planning and Management Division, Proceedings of
the American Society of Civil Engineers, Vol. 103, No, WR1, Proceedings Paper
No. 12953, p 159-171, May 1977.  1 fig, 3 tab, 29 ref,

Descriptors:  *Groundwater resources, *Aquifers, *Mathematical models, *Water
management  (applied), *0ptimization, Water supply, Economic efficiency, Water
demand, Long-term planning, Finite element analysis, Flow, Control, Wells, Pump-
ing, Equations, Systems analysis, Linear programming, Algorithms, Water resources
development.

A mathematical model for the optimal dynamic management of regional groundwater
supply resources is presented.  The model, predicated upon a Galerkin finite
element formulation of flow in heterogeneous anisotropic porous media allows
management decisions to be made regarding; (1) the possible well development
sites within the groundwater basin; and  (2) the optimal pumping rates needed to
meet an exogenous water demand in each planning period.  The planning model
minimizes the total discounted operational costs over the planning horizon.  The
algorithm solves a succession of linear programming problems obtained by linearizing
the concave objective function using a generalized Taylor series expansion about
an initial feasible decision vector.  The management problem, structured as a
problem in optimal control, is solved using Tui's concave programming algorithm.
Results indicate the effectiveness of the model for the planning and development
of groundwater resources,


77:04B-002
SUBSURFACE DRAINAGE COST AND HYDROLOGIC MODEL,
Bhattacharya, A.K., Foroud, N,, Chieng, S-T,, and Broughton, R,S,
Macdonald College, Department of Agricultural Engineering, Ste, Anne de Bellevue
Quebec, Canada.
Journal of the Irrigation and Drainage Division, Proceedings of the American
Society of Civil Engineers, Vol. 103, No. IR3, p 299-308, September 1977,  4 fig,
4 tab, 7 ref.

Descriptors:  *Drainage practices, *Tiles, *Water balance, *Economics, Hydrology,
Water table. Weather data, Simulation analysis, Computers, Costs, Soil water,
Effects, Frequency analysis, Mathematical models, Systems analysis,

A computer simulation water balance model was used to analyze the variation of
daily water table depths in the field using 27 years of weather data and soil
water parameters.  The high water table in the study area resulted from a cool
moist climate and poor natural drainage condition.  The effects of drainage^
rates and drain depths on the water table were studied,  A frequency analysis
was made to obtain the recurrence intervals of specific water table depths for
various successive numbers of days.  The net financial benefit from the system
was evaluated corresponding to various chances of crop failure due to inadequacy
of the drainage system during its assumed amortization period.  In conclusion,
in the absence of definite functional relationships between the processes of a
soil-water-plant system, a computer simulation approach becomes valuable in pre-
dicting water table depths and their relationships to other pertinent parameters.
                                         177

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77:046-003
MANAGEMENT OF GROUNDWATER AND SURFACE WATER VIA DECOMPOSITION,
Haimes, Y.Y., and Dreizin, Y.C.
Case Western Reserve University, Department of Systems Engineering, Cleveland,
Ohio.
Water Resources Research, Vol. 13, No. 1, p 69-77, February 1977.  2 fig, 1 tab,
23 ref.

Descriptors:  *Groundwater,  *Management, *Surface waters, *Conjunctive use,
*Methodology, Streams, Networks, Reservoirs, Optimization, Control, Water supply,
Regional analysis, Costs, Pumping recharge, Water requirements, Equations, Mathe-
matical models, Systems analysis.

Developed is a methodology for solving the problems of conjunctive use of a
large-scale complex groundwater system, a network of streams, and reservoirs
all interacting with one another.  Decomposing the model of a large-scale aquifer
system as well as that of a stream network into interacting submodels provides
an improved mathematical model of the entire physical system,  A theorem is
proved that establishes the necessary conditions for the existence of a solution
to the optimal control problem associated with the management of the groundwater
system.  A sample problem is formulated in which the options of groundwater opera-
tions and surface water supply are conjunctively utilized to meet the water needs
of several water users in a basin; the objective function is benefit maximization.
The problem of optimal management is solved via decomposition and multilevel
approach.


77:04B-004
MINIMIZING COSTS IN WELL FIELD DESIGN IN RELATION TO AQUIFER MODELS,
Bostock, C.A., Simpson, E.S., and Roefs, T.G.
Arizona University, Department of Hydrology and Water Resources, Tucson, Arizona.
Water Resources Research, Vol. 13, No, 2, p 420-426, April 1977.  4 fig, 8 ref.

Descriptors:  *Wells, *Costs, *0ptimization, *Economic efficiency, *Aquifers,
Probability, Demand, Pumping, Annual, Water table, Methodology, Decision making,
Seasonal, Groundwater, Mathematical models, Operations research.

For a given production rate from a proposed well field, well construction and
replacement costs decrease with fewer and larger wells spaced farther apart,
while pumping lift costs increase.  A method for minimizing the sum of these
two costs is presented which uses a two-dimensional uniform grid of wells to
select a combination of well spacing and well capacity that minimizes costs for
a given demand.  Uncertainty in field permeability at future well sites is
treated by averaging the possible outcomes over all wells in accord with a prob-
ability density function for permeability values.  The method assumes an annual
cycle whereby the water table declines owing to pumping in a dry season and is
recharged to its initial state during a wet season.  It is concluded that the
method is suited by Bayesian decision theory application and that it is independent
of the mathematical theory for groundwater flow used to predict aquifer response
in the aquifer cell model.


77:048-005
STATISTICAL ANALYSIS OF THE IMPACT OF GROUNDWATER PUMPAGE ON LOW^FLOW HYDROLOGY,
Fetter, C.W., Jr.
Wisconsin University, Department of Geology, Oshkosh, Wisconsin,
Water Resources Bulletin, Vol. 13, No, 2, p 309-323, April 1977.  7 fig, 1 tab,
8 ref.

Descriptors:  *Pumping, *Groundwater, *Interbasin transfers, *Low flow, *Diversion,
*Wisconsin, Hydrology, Water table, Withdrawal, Forecasting, Regression analysis.

Heavy groundwater pumpage in the Yahara River basin has resulted in lowering of the
water table.  As a means of preserving surface water quality, treated wastewater
was diverted from the upper basin in 1958,  The two mentioned factors have acted
together to produce a depletion in Yahara River streamflow of more than 50% during
periods of low flow.  Regression analyses showed that the annual 7^day and 60-day
low flows have a statistically significant correlation with mean annual flow.
                                         173

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Using predictions of future mean annual  discharge  of  the  river with increasing
interbasin transfers, it was shown  that  by  1990  there is  a  significant  probability
that in some years the 60-day  low flow in the  river will  be zero.   The  drainage
area of the upper basin is 328  sq mi  above  McParland, Wisconsin.

77:048-006
SENSITIVITY ANALYSIS IN AQUIFER STUDIES,
Aguado, E., Sitar, N., and Remson,  I.
Stanford University, School of  Earth  Sciences,  California.
Water Resources Research, Vol.  13,  No. 4, p 733-737,  August 1977.   4 fig,  1  tab,
8 ref.

Descriptors:  *Aquifers, *Management,  *Planning,  *Linear  programming,  *Groundwater,
Optimization, Wells, Discharge  (water),  Dewatering, Pumping,  Hydraulic  conductivity,
Equations, Constraints, Mathematical  models, Systems  analysis.

A method is presented for determining in which areas  detailed knowledge of aquifer
characteristics and  conditions  is most critical  to the success of  a management
plan.  These questions are answered by using sensitivity  analysis  to determine
how variations in parameters and input data affect the optimal -solution of a linear
programming management model.   The  model uses  either  finite element or  finite dif-
ference approximations of the  groundwater equations as constraints.   The optimal
locations  and discharge rates  of wells have been determined for dewatering a rec-
tangular area to a specified level  while minimizing steady  state total  pumping
rate and maintaining hydraulic  heads  in  the dewatered area  at or below  the specified
value.  The area is  in a small  aquifer having  constant head boundaries.  Sensitivity
analysis has shown that the optimal steady  state solution is  most  sensitive  to
hydraulic  conductivity at and  near  the aquifer boundaries parallel to the  length
of the dewatered area.  Thus field  exploration and testing  should  be concentrated
on determination of  hydraulic  conductivity  in  those areas,


77:04B-007
OBSERVATION WELL RESPONSE TIME  AND  ITS EFFECT  UPON AQUIFER  TEST RESULTS,
Black, J.H., and Kipp, K.L., Jr.
Institute  of Geological Sciences, London (England),
Journal of Hydrology, Vol. 34,  No.  3/4,  p 297-306, August 1977.  3 fig,  2  tab,
5 ref.

Descriptors:  *0bservation wells, *Time  lag, *Aquifer testing, *Pumping, Aquifer
characteristics, Equations, Mathematical studies,  Curves, Graphical analysis,
Theis equation, Water levels,  Water wells,  Transmissivity,  Storage coefficient,
Drawdown,  Hydraulic  conductivity.

The concept of observation-well response time  was  introduced  in the context  of
aquifer pump tests.  Previous  work  on hydrostatic  time lag  and slug tests  was
considered together  with the precise  way in which  an  observation well responds
during an  aquifer test.  Using  the  concepts of Hvorslev,  an equation was produced
linking observation-well response time,  alpha, and a  dimensionless response-time
factor beta.  The Theis equation was  modified  by various  values of beta to derive
a set of type curves.  The 2 parameters - alpha  and  beta were related by  a simple
equation involving aquifer transmissivity,  T, and storativity, S,  Both alpha
and beta can be obtained independently from a  slug test,  while alpha alone can
be obtained independently from  a slug test. An  example was given  showing  the
effect of  beta upon  aquifer test results, and  the  value of  alpha calculated  from
the aquifer test analysis was  corroborated  by  slug test results.   The definition
of beta was used to  show in what circumstances it  will be important and how  its
effect can be reduced to a minimum.  The introduction of  slug testing of obser-
vation wells as standard practice for all aquifer  tests was suggested.


77:048-008
AN ARCHETYPAL LINEAR PROGRAMMING MODEL FOR  OPTIMAL INTERTEMPORAL ALLOCATION  OF
GROUNDWATER TO AGRICULTURAL ACTIVITIES,
Weisz, R.N., and Towle, C.L.,  Jr.
Arizona University,  Department  of Agricultural Economics, Tucson,  Arizona.
Water Resources Bulletin, Vol.  13,  No. 5, p 1035-1046, October 1977.  3 fig, 2
tab, 20 ref.
                                       179

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Descriptors:  *Groundwater,  *Water allocation (policy), *Linear programming,
*Economic efficiency, *Planning, Simulation analysis, Constraints, Aquifers,
Discount rates. Equations, Mathematical models,  Systems analysis, Optimization,
Water utilization, Water supply.

In the past, researchers have applied a variety of analytical techniques for
maximizing the present value of a stock resource: simulation, calculus of
variations, stochastic dynamic programming, and optimal control theory.  Pre-
sented herein is a more operational approach—linear programming.  A simplified,
broadly drawn example from Southwest agriculture  is  used  for  demonstrating
the model structure and output; the method is based on a set of state transfor-
mation operations that prevent the additivity assumption of linear programming
from being violated.  The test case concerns a geologically isolated aquifer
wholely managed by one entity  (for example, the farmer) who must maximize
benefits over a two-year planning period.  A comparison is made of the simulation
run with that of optimization.  The archetypal linear programming model for
maximizing the present value of net benefits from a groundwater stock resource
is proven over a range of realistic parameter values.  It should find innumerable
applications in the economic analysis of Southwest agricultural problems in
areas where basin-wide management of a groundwater resource is appropriate.


77:04B-009
MANURE MANAGEMENT IN AN IRRIGATION BASIN RELATIVE TO SALT LEACHATE TO GROUNDWATER,
Pratt, P.P., Davis, S., and Laag, A.E.
California University, Department of Soil Science, Riverside, California   92521.
Journal of Environmental Quality, Vol. 6, No, 4, p 397-402, October-December 1977.
7 fig, 2 tab, 10 ref.

Descriptors:  Leaching, -Cations, Root zone, Manure, Irrigation, Irrigation
practices, Calcium, Magnesium, Potassium, Sodium, Salinity.

The leaching of cations from the soil root zone as a function of rate of manure
and irrigation treatments, which controlled the leaching fraction and the volume
of leachate, was measured during a 4-year field experiment.  Large amounts of
Ca, Mg, and K were accumulated in the soil, but there was a net loss of Na.
Practically no K moved beyond the 1.5 m depth, which was considered the bottom
of the root zone.  The percent leaching of the cations added in water and in
manures decreased as the rate of manure increased,


77:046-010
INTEGRODIFFERENTIAL EQUATIONS FOR SYSTEMS OF LEAKY AQUIFERS AND APPLICATIONS 3,
A NUMERICAL METHOD OF UNLIMITED APPLICABILITY,
Herrera, I., and Yates, R.
Universidad Nacional Autonoma de Mexico, Institute de Investigaciones en Matematicas
Aplicadas y en Sistemas, Mexico 20, Distrito Federal, Mexico,
Water Resources-Research, Vol. 13, No, 4, p 725-732, August 1977.  6 fig, 15 ref,
41 equ.

Descriptors:  Aquifers, Aquifer management, Aquifer systems, Aquifer testing,
Mathematics, Mathematical studies, Groundwater.

The integrodifferential equation formulation of leaky aquifer mechanics is used
to develop a numerical method of unlimited applicability based on the finite
element technique.  This approach reduces the dimensionality of the problem and
effectively uncouples the equations corresponding to each of the aquifers.  Thus
the number of nodes required and the bandwidth of the matrices involved are signifi-
cantly reduced.  Consequently, storage and computer time are decreased by a factor
greater than 30 in axially symmetric problems and by a considerably greater fac-
tor in the absence of such symmetry.


77:048-011
INJECTION/EXTRACTION WELL SYSTEM—A UNIQUE SEAWATER BARRIER,
Sheahan, N.T.
Brown and Caldwell, Pasadena, California.
Ground Water, Vol. 15, No. 1, p 32-50, January-February, 1977,  12 fig, 10 ref.
                                        180

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Descriptors:  *Saline water intrusion,  *Injection wells,  *Groundwater  barriers,
*California, Wells, Water wells, Groundwater  recharge, Aquifers,  Sea water,
Salinity, Irrigation, Waste water disposal, Artificial recharge,  Groundwater,
Hydrology.

A multiple-aquifer system in the bayfront  area  of Palo Alto,  California,  is  being
intruded with seawater from San Francisco  Bay,   In  order  to combat  this potential
degradation of the groundwater supplies in the  area,  a sea water  intursion bar-
rier is being constructed, consisting  of a series of  injection  wells used to in-
ject 2.0 million gallons per day  (7.6  million liters  per  day) of  reclaimed waste-
water into a shallow aquifer.  The  injected water is  subsequently removed by a
similar system of extraction wells  to  avoid any possible  degradation of the
water supply aquifers from this source and to allow reuse of  the  reclaimed waste-
water.  The investigation phase included test drilling, aquifer testing,  and
injection testing to determine the  feasibility  of the injection/extraction  (I/E)
concept.  The number, spacing, and  location of  I/E  doublets were  optimized by
using a digital computer model.  The double-cased,  doubles-screened  wells  were con-
structed, using corrosion-resistant materials,  and  the wells  were designed for
ease of routine maintenance.  In operation, injection and extraction will be
computer controlled by sensing piezometric levels in  a series of  monitor  wells.
Water pumped from the extraction wells will be  sold for industrial  and agricul-
tural purposes.  The I/E well system has been approved for Federal  and State
grand funding.


77:O4B-012
A HIERARCHY OP RESPONSE FUNCTIONS FOR  GROUNDWATER MANAGEMENT,
Dreizin, Y.C., and Haimes, Y.Y.
Mekoroth Water Company, Systems Engineering Department, Tel-Aviv  (Israel).
Water Resources Research, Vol. 13,  No.  1,  p 78-86,  February 1977.   5 fig, 4  tab,
20  ref.

Descriptors:  *Groundwater, *Management, *River basins, *Aquifers,  *Linear pro-
gramming. Pumping, Recharge, Streams,  Stress, Ohio, Input^output  analysis,
Simulation  analysis, Methodology, Behavior, Hydraulics, Mathematical models,
Equations,  Systems analysis.
   6
The physical system dealt with in this paper  is a river basin with  multiunit
aquifers  and interconnected streams.   The  problem is  how  to model this complex
system  and  then to represent it in  terms of its response  to stress  in  the form
of  pumpage  and recharge.  The system responds to pumpage  in two ways:  as draw~
down or as  flow between streams and aquifers.  A hierarchy of linear mathematical
models  for  a large-scale physical system response to  stress has been developed.
For the system response, an explicit mathematical expression  is used to couple
the physical system with the formulation of a management model,  The models developed
herein  have been successfully tested on a  case  study  o£ the Fairfield-New Baltimore
area at the lower part of the Great Miami  River in  southwestern Ohio.


77:046-013
FIELD-MEASURED WATER UPTAKE OF SUDANGRASS  ROOTS AS  AFFECTED BY  FERTILIZATION,
Fluhler,  H,, Ardakani, M.S., Szuszkiewicz, I.E., and  Stolzy,  L.H.
California  University, Riverside, California.
Agronomy  Journal, Vol. 69, No. 2, p 269-274,  March-April, 1977,  8  fig, 23 ref,
11  equ.

Descriptors:  Fertilizers, Fertilization,  Groundwater, Nitrates,  Leaching, Roots,
Evapotranspiration, Groundwater resources, Water quality  control.

Cultural  practices could affect the flow of water and solutes toward groundwater,
In  this field experiment we analyzed the effect of  fertilization  on water uptake
of  sudangrass and its indirect influence on deep drainage and nitrate  leaching,
Root water  uptake was calculated as sink term in the  continuity equation  using
successive measurements of water content and  matric potential profiles in con-
nection with field measured hydraulic  conductivity  functions.  The  experiment
was conducted in three field plots  on  Hanford fine  sandy  loam.  Fertilization .
increased dry matter production and water  uptake significantly  and  reduced deep_
drainage and nitrate leaching.  Water  uptake  patterns and root  length  distribution
                                          181

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was not correlated.  Mainly due to fertilization with nitrate nitrogen,  the
evapotranspiration approximated the amount of irrigation water applied.   These
results indicate that optimum water and fertilizer use and minimum  groundwater
pollution per unit crop production are intimately linked together.


77:04B-014
PREDICTING PHOSPHATE MOVEMENT THROUGH SOIL COLUMNS,
Sawhney, B.L.
Connecticut Agricultural Experiment Station, New Haven, Connecticut.
Journal of Environmental Quality, Vol. 6, No, 1, p 86-89, January-March,  1977.
5 fig, 21 ref.

Descriptors:  Groundwater, Phosphorus, Soils, Soil investigations,  Soil  properties,
Waste water, Sorption,

To assess the potential pollution of groundwater with P from septic tank  drain-
fields, sorption capacities of various soils were determined over an extended
period of time and related to P movement through soil columns using solutions
having P concentrations similar to waste waters,  The amounts of P  sorbed by
fine  sandy loam  Cfsl) and silt loam Csil) soil columns before breakthrough oc-
curred were approximately equal to the sorption capacities determined from iso-
therms obtained over a sufficiently long reaction time of about 200 hours.  In
Merrimac fsl, breakthrough occurred after about 50 pore volumes of waste  water
had passed through the column while about 100 pore volumes passed through Buxton
sil before the breakthrough occurred.  Following breakthrough, concentration of
P in  the effluent continued to increase and approached the influent concentration
after several hundred pore volumes of effluent had passed through the columns.
The results, thus, suggest that while most deep soils should effectively  remove
P from waste water, groundwater under drainfields installed in soils of  low P
sorption capacity after prolonged use may contain undesirably large concentrations
of P.


77:048-015
POSSIBLE ENERGY SAVINGS IN IRRIGATION,
Gilley, J.R., and Watts, D.G.
Nebraska University, Department of Agricultural Engineering, Lincoln, Nebraska.
American Society of Civil Engineers Journal of the Irrigation and Drainage
Division, Vol. 103, No. IR4, p 445-457, December 1977,  3 fig, 6 tab, 20  ref,
2 append.

Descriptors:  *Irrigation practices, *Irrigation efficiency, *Pumping, Energy,
Sprinkler irrigation, Water reuse, Center pivot systems, Water pressure,  Farm
equipment, Fertilizers, Nitrogen compounds, Nebraska,

Studies in Nebraska have shown that over 40% of all the energy consumed by
duction agriculture is used for pumping water from wells, which supply about
80% of the irrigation water requirements.  Reduction of energy used in irrigation
pumping would thus have significant impact.  Six procedures, utilized singly
or in various combinations, show strong energy-saving potential:  (1) increased
irrigation efficiency—better design and management of center pivot and  surface
systems; greater use of trickle, subsurface, runoff reuse systems as rising
fuel prices make them cost effective; (2) improved pumping plant efficiency;
(3) reduced water pumping--advances in irrigation scheduling; (.4). lowering
pressure of sprinkler systems;  (.5) scheduling to decrease electric  peak demand,
and;  (6) minimizing nitrogen fertilizer losses due to deep percolation-^-fertilizer
is conserved through irrigation scheduling, thus conserving the energy used in
its manufacture.  Energy savings of 40%-50% are considered attainable through
these procedures.
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                                   SECTION XVII


                      WATER QUANTITY MANAGEMENT AND CONTROL

                        WATERSHED PROTECTION  (GROUP 04D)


77:040-001
GULLY WALL STABILITY IN LOESS-DERIVED ALLUVIUM,
Bradford,  J.M.,  and Piest, R.F,
Agricultural Research Service, Columbia, Missouri.
Soil Science Society of America Journal, Vol. 41, No. 1, p 115-122, January-
February,  1977.   7 fig, 3 tab, 13 ref,

Descriptors:  *Soil strength, *Gully erosion, Soil mechanics, Loess, Erosion,
Tensiometers, Piezometers, Slope stability, Groundwater, Sedimentation, On-
site investigations, Water pollution,

A field study was made on an instrumented vertical slope to investigate the
triggering mechanisms that initiate gully wall failure  in loess-derived allur-
vium.  The relevance of hydrology, soil morphology, and soil mechanisms to an
understanding of gully slumping was examined.  Conventional limit equilibrium
slope stability methods were of little value  in predicting failure vo.lumes or
in understanding the failure mechanics.  The  geometry and time of failure were
greatly influenced by the structural features of loess-derived alluvium and
by the dependence of the shear strength on the pore water pressure within the
soil.


77:040-002
AREAWIDE WATER QUALITY MANAGEMENT IN AN ENERGY DEVELOPMENT AREA,
Judy, C.H., and Gartner, A.
Yellowstone-Tongue A.P.O., Post Office Box 503, Broadus, Montana  59317,
Water Resources Bulletin, Vol. 13, No. 4, p 835-841, August 1977.  1 fig, 2 tab,
5 ref.

Descriptors:  Water quality, Water quality management,  Energy, Watersheds, Water-
shed management.

A Section 208, Areawide Waste Treatment Management Project, is attempting to develop
an implementable water quality management plan for an energy impacted area.  Staff
members and consultants are investigating point and nonpoint sources.  On a short-
term basis, population growth and construction will have a greater impact on water
quality than strip mining.


77:040-003
DRAIN DISCHARGE FROM A LEVEL AGRICULTURAL WATERSHED,
Sharma, T.C., and Irwin, R.W,
Guelph University, School of Engineering,  Ontario, Canada.
Journal of the Irrigation and Drainage Division, American Society of Civil
Engineers, Vol.  103, No. IR4, Proceedings Paper 13399,  p 429-443, December 1977,
7 fig, 3 tab, 12 ref.

Descriptors:  *Drainage, *Agricultural watersheds, *Discharge  (water), Drainage
patterns (geologic), Hydraulic conductivity,  Hydrography, Hydrology, Model studies,
Surface runoff,  Tile drainage, Watersheds  (basins), Subsurface drainage.


A hypothesis was developed that watershed discharge from rainfall, for nonfreezing
periods from a tile drained level watershed,  was mainly tile flow with negligible
amounts of surface runoff and base flow.  Daily discharges at the watershed out-
let were due to depletion of 2 parallel linear reservoirs.  A fast reacting



                                         183

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reservoir,  represented by the physical shallow plowed layer, constituted nearly
40% of the  total runoff volume.   The slow reacting reservoir, represented by the
subsoil zone,  contributed nearly 60% of the total runoff volume.


77:040-004
SEDIMENT DEPOSITION PATTERNS IN  SIMULATED GRASS FILTERS,
Tollner, E.W., Barfield, B.J., Vachirakornwatana, C,, and Haan, C,T.
Kentucky University, Department  of Agricultural Engineering, Lexington, Kentucky.
Transactions of the American Society of Agricultural Engineers, Vol. 20, No, 5,
p 940-944,  September-October, 1977.  9 fig, 1 tab, 10 ref.

Descriptors:  *Deposition (sediments), *Grasses, *Grassed waterways, *Model studies,
Mathematical models, Hydraulic models, Laboratory tests, Filters, Sediments,
Sediment transport, Sediment load, Sedimentation.

The principle of mass continuity was used to develop equations to predict the rate
of advance of a sediment deposition front in a grass filter under steady-state
flow conditions.  Based on the theoretical analysis, it was shown that the rate
of advance is proportional to the square root of elapsed time until the depth of
deposition reaches the grass height and then ^linearly proportional to elapsed
time.  The validity of the equations was evaluated in cylindrical and flat bladed
artificial media using homogeneous sediment.  The agreement between predicted and
observed values was excellent.


77:O4D-005
SEDIMENT FROM DRAINAGE SYSTEMS FOR CLAY SOILS,
Schwab, G.O., Nolte, B.H., and Brehm, R,D.
Ohio State University, Department of Agricultural Engineering, Columbus, Ohio.
Transactions of the American Society of Agricultural Engineers, Vol. 20, No, 5,
p 866-872, September-October, 1977.  3 fig, 2 tab,.10 ref.

Descriptors:  *Sediment yield, *Drainage systems, *0hio, *Clays, Tile drainage,
Surface drainage, Soils, Measurements, Testing procedures, On-site tests, On-
site investigations. Runoff, Agriculture, Irrigation, Rainfall, Crops, Corn
 (field), Oats, Alfalfa, Land management.

Sediment losses from tile and surface drainage systems in a lakebed soil in
northern Ohio were measured for  6 years  (1969-1974).  Average annual losses were
2359 kg/ha from tile only and 3687 kg/ha for surface only.  Calculated losses
for the combination tile and surface drainage system were 2672 kg/ha.  Annual
measured losses ranged from about 100 to 9000 kg/ha.  Average net losses from
sprinkler irrigation were negligible, and usually more sediment was added than
removed in the drainage water.  Sediment concentration in tile flow from irriga-
tion increased significantly with the antecedent soil moisture content.  Concen-
trations were high at the beginning of flow but decreased to a nearly constant
level after 20 hr,  A possible explanation for the high concentrations is that
the sediment moved in suspension with the water and not necessarily through the
soil cracks.  Estimates using a  rainfall factor in the universal soil loss equa^-
tion for surface drainage were 89% of the measured losses with an r sq value of
0.25, significant at the 99% level.  Estimates using a runoff factor were 74% of
the measured losses with an r sq value of 0.35, also significant at the 99%
level.


77:040-006
SEDIMENT YIELD PREDICTION BASED  ON WATERSHED HYDROLOGY,
Williams, J.R., and Berndt, H.D.
Agricultural Research Service, Temple, Texas.
American Society of Agricultural Engineers, 1976 Winter Meeting, Chicago, Illinois,
December 14-17, 1976.  Paper No. 76-2.535.  14 p, 3 tab, 12 ref.

Descriptors:  *Sediment yield, *Forecasting, *Hydrology, Watersheds  (.basins),
Reservoir design, Model studies, Runoff, Computers, Erosion, Equations, Farm
management, Erosion control, Costs, Curves, Soil moisture, Peak discharge.

A model for predicting sediment  yield from ungaged watersheds was developed by
attaching a sediment yield model to hydrologic models.  The sediments-runoff model
is useful in reservoir design and water quality modeling because daily, monthly,
and annual sediment yield can be predicted with simple inputs and low computer costs,
                                          184

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77:040-007
PREDICTION OF VELOCITY DISTRIBUTION IN A VORTEX TUBE SEDIMENT TRAP WITH TURBULENCE
MODELS,
Edling,  R.J., Barfield, B.J., and Haan, C.T.
Nebraska University, Panhandle Station at Scottsbluff, Nebraska.
Transactions of the American Society of Agricultural Engineers, Vol. 20, No. 2,
p 301-308, March-April, 1977.  5 fig, 2 tab, 16 ref.

Descriptors:  *Sediment control, *Sediments, *Vortices, *Model studies, Mathemati-
cal models, Velocity, Flow, Sediment transport, Fluid mechanics, Hydraulics, Open
channels, Distribution patterns. Rotational  flow, Turbulence.

Meaningful investigation into the potential  and limitations of the vortex tube
sediment trap could be accomplished theoretically if prediction of velocity pro^
files were possible.  Empirical and semi-empirical velocity prediction techniques
were tested.  In the empirical technique, constants combining values for mean
flow velocity, wall velocity, and vortex perimeter velocity were applied; whereas
in the  semi-empirical technique, a two equation turbulence kinetic energy and
dissipation was applied.  Prediction models  were tested experimentally.  Results
revealed a range in constants for the empirical technique which indicated that
the method could only be used as a guide,  The semi-empirical prediction values
approximated measured velocity values,
                                           185

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                                   SECTION XVIII

                     WATER QUALITY MANAGEMENT AND PROTECTION

                     IDENTIFICATION OF POLLUTANTS (GROUP 05A)


77:05A-001
A NOTE OF PLEXIGLAS HS FLUMES,
Robinson, W.H., Jr., and Wright, M.E.
Virginia Polytechnic Institute and State University, Department of Agricultural
Engineering.
Water Resources Research, Vol. 13, No. 1, p 211-212, February 1977.  4 fig, 1 ref.

Descriptors:  *Water measurement, Instrumentation,  *0pen channels, Flumes,
Hydraulics, Discharge  (water), Effluents, Calibrations, Specifications, Low flow,
Industrial plants, Pollutant identification.

H flumes are convenient devices for accurate measurement of open channel flows,
especially if trash is present.  Several of the HS  (smaller) types were constructed
of plexiglas and used  successfully in a commerical plant to measure effluents
from vegetable washers.  Lumped data from the calibration of three flumes were
fitted to a curve of the form y=a(x to the b power).  The correlation coefficient
R squared for observed versus calculated values was 0.998.  A 99% confidence band
fitted to the prediction curve was very narrow, indicating the high degree of
accuracy of the device.


77:05A-002
CHEMICAL REDUCTION OF  NITRATE BY FERROUS IRON,
Buresh, R.J., and Moraghan, J.T.
North Dakota State University, Department of Soils,  Fargo, North Dakota.
Journal of Environmental Quality, Vol. 5, No. 3, p  320-325, July-September, 1976.
5 fig, 4 tab, 30 ref.

Descriptors:  *Nitrates, *Denitrification, *Nitrogen, Chemical reactions, Chemi-
cals, Iron, Air pollution, Pollutant identification.

Knowledge concerning the chemical reduction of N03(-) to gaseous products, a pro-
cess of potential practical significance as an antipollution device, is sparse.
The influence of pH on chemical reduction of N03(-)-N  (approximate concentration
23 ppm) by Fe(2+) in the presence and absence of Cu(2+) was studied over a pH
range from 6 to 10.  After 24 hours of controlled pH incubations under a helium
atmosphere N03(-), N20, NO, N2, and NH4(+) were determined.  The initial Fe(2+)/
N03(-) mole ratio was  8.  Reduction of N03(-) was negligible in the absence of Cu
(2+), but was pronounced above pH 7 in the presence of approximately 5 ppm Cu(2+).
Formation of HN4(+) increased with pH and was the dominant process at pH 9 and 10.
Nitrous oxide and N2 accumulations were greatest in the pH range from 8 to 8.5 and
negligible at pH6 and  10.  Nitrite formation was small except at pH9 and 10.
Trace quantities of NO accumulated during incubation if the pH was allowed to drop
below 6.  Levels of Cu(2+) and Fe(2+) influenced the extent and nature of N03(-)
reduction at pH8.  Maximum reduction of NO3(-)  (93%) and maximum gas production,
equivalent to 61% of the original N03(-), occurred when the Fe(2+)/NO3(-) mole
ratio was 12 and the Cu(2+) level was approximately 10 ppm.  The N20/N2 mole
ratio in the evolved gases decreased as the Cu(2+)  level was increased from
approximately 1 to 10  ppm and as the Fe (2+)/N03(-) mole ratio was increased from
8 to 12.  Nitrate was  relatively stable at a Cu(2+)  content of 0.1 ppm irrespective
of the Fe(2+)/N03(-) ratio.


77:05A-003
USE OF LABORATORY EXTRACTION DATA TO PREDICT LOSSES OF DISSOLVED INORGANIC
PHOSPHATE IN SURFACE RUNOFF AND TILE DRAINAGE,
Sharpley, A.N., Tillman, R.W., and Syers, J.K.
Massey University, Department of Soil Science, Palmerston North  ,(New Zealand).


                                         186

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Journal of Environmental Quality, Vol.  6, No.  1, p  33-36,  1977.   4  fig,  2 tab
14 ref.                                                                       '

Descriptors:  *Phosphorus, *Subsurface  runoff,  *Measurement,  laboratory tests,
*Pollutant identification, *Phosphates,  *Dissolved  solids,  Surface  runoff,
Analytical techniques, Pastures, Tile drainage, Fertilization, Foreign research.

A laboratory procedure is described which measures  extractable soil inorganic
phosphorus to predict losses of dissolved inorganic phosphorus  (DIP) in  surface
runoff and subsurface tile drainage from a  soil under permanent pasture  in both
fertilized and unfertilized conditions.  The mean DIP concentration in each of
several surface runoff periods was closely  correlated with the amounts of inorganic
phosphorus extracted by 0.1M sodium chloride from the top  5 cm of soil prior to
the period.  For three of the four combinations of  treatments evaluated  (undrained,
unfertilized; drained, unfertilized, and drained, fertilized) the linear relation-
ships obtained were similar despite large variations in  the phosphorus concentrations
observed.  Mean DIP concentrations in surface  runoff from  the drained plots were
consistently lower than those from the  undrained plots.  The relationship between
the mean DIP concentrations of surface  runoff  and the amounts of  extractable
inorganic phosphorus for the undrained,  fertilized  plot  was also  linear  but a
greatly different gradient was obtained.  Soil  extraction  data appear to be
useful in predicting mean DIP concentrations in surface  runoff from reasonably
homogeneous soils under pasture.  Total  DIP loading correlated best with the
amounts, of inorganic phosphorus extracted from  soil at 40-50 cm,  a depth which
corresponds to that of mole channels.


77:05A-004
IRRIGATION RETURN FLOW PROBLEMS IN YAKIMA VALLEY,
Spencer, J., and Horton, M.
State of Washington, Department of Ecology, Olympia, Washington.
Proceedings of National Conference on Irrigation Return  Flow Quality Management,
Colorado State University, Fort Collins, Colorado,  p 299-306, May 16-19, 1977.
2 fig, 5 ref.

Descriptors:  Return flow, Agriculture,  Sediments,  Phosphates, Nitrates, Water
management  (applied), Water quality, Irrigation, Soils,  Washington.

Studies completed in recent years show  that irrigated agriculture is a significant
source of the pollutants in the lower reaches of the Yakima River.  Sediments,
phosphates and nitrates are the principal pollutants resulting from irrigation
activities.  Improved on-farm water mangagement practices  should  be undertaken to
alleviate this water quality degradation.   Since the passage of P.L. 92-500,
attempts to apply NPDES permits to irrigation return flows  have been stymied by
legal questions and a lack of knowledge  of  relationships between  farming practices,
soils, weather conditions, and water quality.   In addition,  there are legal
questions regarding the authority of irrigation districts  in the  State of
Washington to control on-farm water management  practices.


77:05A-005
THE HYDRO-SALINITY SYSTEM IN THE GRAND VALLEY,
Walker, W.R., Skogerboe, G.V-, Evans, R.G., and Smith, S.W.
Colorado State University, Department of Agricultural and  Chemical Engineering,
Fort Collins, Colorado  80523.
Proceedings of National Conference on Irrigation Return  Flow Quality Management,
Colorado State University, Fort Collins, Colorado,  p 361-367, May 16-19, 1977.
7 fig, 3 tab, 13 ref.

Descriptors:  Colorado, Colorado River,  Salinity, Salts, Groundwater, Return flow,
Seepage, Deep percolation.

The Grand Valley hydro-salinity system  is described by research data collected over
an eight-year period.  A review of previous estimates indicates the great vari-
ability that can be expected when data are  few and  of poor  quality.  The Grand
Valley system contributes approximately  630,000 metric tons  of salts to  the river
annually.  This figure represents 78 metric tons of salt per hectare-meter_of water
reaching the underlying groundwater aquifer from irrigation return flows with
                                         187

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canal and ditch seepage contributing 23 percent of the salt pickup, lateral  seepage
32 percent, and on-farm head ditch seepage and deep percolation losses contributing
the remaining 45 percent of the salt pickup.


77:05A-006
TOXIC METALS IN GROUNDWATER OF THE FRONT RANGE, COLORADO,
Klusman, R.W., and Edwards, K.W.
Colorado School of Mines, Department of Chemistry, Golden, Colorado.
Ground Water, Vol. 15, No. 2, p 160-169, March-April, 1977.  6 fig, 7 tab, 14
ref.

Descriptors:  *Heavy metals, *Groundwater, *Colorado, Trace elements.
Water quality, Cadmium, Copper, Iron, Lead, Manganese, Mercury, Zinc, Hydrogen ion
concentration. Oxidation-reduction potential. Specific conductivity, Distribution,
Mineralogy, Plumbing, Water pollution, Geochemistry.


A study of toxic trace metal distribution in groundwaters of the Front Range mineral
belt, Colorado, and adjacent areas was performed in order to determine the relation-
ship of water quality to mineralization and to determine the magnitude of potential
health effects.  A total of 149 samples was collected and analyzed for arsenic,
cadmium, copper, iron, lead, manganese, mercury, silver, and zinc.  Field deter-
minations of pH, Eh, and specific conductance were also made.  The trace element
data exhibited a lognormal distribution and were described utilizing the geometric
mean and geometric deviation.  Four populations were recognized in the samples:   (1)
samples in the mineral belt with plumbing contamination; (2)  samples in the mineral
belt without plumbing contamination; (3) samples outside the mineral belt with
plumbing contamination; and  (4) samples outside the mineral belt without plumbing
contamination.  Differences in these populations for several elements were observed
utilizing the t test.  Groundwaters in the mineral belt are estimated to exceed
the U.S. Public Health Service limit in 14% of the samples for Cd, 1% for Cu, 51%
for Fe, 74% for Mn, 2% for Hg, and 9% for Zn.  Groundwaters outside the mineral
belt have similar probability of exceeding the limit for Hg and lesser probabi-
lities for all other elements.


77:05A-007
GROUNDWATER CHEMICAL QUALITY MANAGEMENT BY ARTIFICIAL RECHARGE,
Nightingale, H.I., and Bianchi, W.C.
Agricultural Research Service, Fresno, California.
Ground Water, Vol. 15, No. 1, p 15-21, January-February, 1977.   6 fig, 5 tab, 17
ref.

Descriptors:  *Groundwater recharge, *Artificial recharge, *Water quality, *Cali-
fornia, Monitoring, Recharge ponds, Pit recharge, Groundwater,  Groundwater move-
ment, Chemicals, Nitrates, Salinity, Salts, Conductivity.- Specific conductivity,
Wells, Water wells, Sampling.

The effectiveness of basin groundwater recharge at the Leaky Acres Recharge
Facility in Fresno, California, for improving the regional groundwater quality
was studied as 65,815,000 cu m of high quality surface water was recharged from
1971 through 1975.  Observation wells at the facility showed some variability
in chemical parameters associated with each recharge period.  The long-term
decreased in salinity could be described by a power law decay curve fitted by
regression analysis.  Without a special network of observations wells outside
the facility, scientific evaluation of the enclave of recharged water is not
possible.  A practical evaluation of water quality changes is possible from
producing water wells around the facility.  However,- the pumping well discharge
time variations, well depth, aquifer sequence, and prior use of surrounding land
must be considered, since all of these factors affect the pumped-water quality
and its seasonal variability.  Recharge at Leaky Acres had noticeably decreased
the groundwater salinity for a distance of up to 1.6 km in the direction of the
regional groundwater movement.


77:05A-008
NO SIMPLE ANSWERS ON SALINITY,
McNeill,  E.
                                         188

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Irrigation Journal, Vol. 26, No. 6, p  16-18, November-December,  1977.   5  fig.

Descriptors:  Salinity, Saline water.  Saline soils, Water  quality. Water  quality
control, Salts.

Salinity control is the most critical  problem  facing  agricultural  irrigation mana-
gers in the arid Western states, according  to  opinions  of  water  specialists before
a late September conference on Salt and  Salinity  Management  at the Miramer Hotel
in Santa Barbara, California.  To  search for solutions  on  how to manage agri-
cultural lands served by irrigation waters  containing an increasing  build-up of
salts, some 150 professionals in the management,  government  and  educational fields
met at the two-day conference to hear  and study the findings of  an extensive group
of authoritative speakers who have actively worked on the  problem.


77:05A-009
EVALUATION OF A NITRATE-SPECIFIC ION ELECTRODE,
Yu, K.Y., and Berthouex, P.M.
California University, Environmental Engineering  Program,  Los Angeles,  California.
Journal Water Pollution Control Federation, Vol.  49,  No. 8,  p 1869-1901,  August
1977.  1 fig, 9 tab, 7 ref.

Descriptors:  *Pollutant identification,  *Electrodes, *Analytical techniques,
*Permselective membranes,  *Nitrates, *Electrochemistry, Water chemistry, Aqueous
solutions,  Chemical properties, Chemical  potential. Electrical equipment, Model
studies, Chemical Analysis, Waste water treatment, Brucine method.


The Simple  Electrode and  the Standard-Addition Electrode methods are used to
evaluate nitrate determinations with  a nitrate-specific ion  electrode and the
Brucine method using effluent  samples  from  biological treatment  units.  The
nitrate electrode measures  nitrate activity in terms  of potential  across  a layer
of water-immiscible ion exchanger  held in place by an inert  porous membrane.
Electrode behavior follows   a  Nernst  relation  within  the working range.  Ionic
interference  is usually counteracted  by the addition  of a  buffer to  maintain
constant ionic strength.   The  Standard-Addition or Known-Increment method in-
volves  the  addition of  a  known  amount  of nitrate  to  a solution containing an
unknown amount.  The quantity  of nitrate present  in  the initial  solution  is deter-
mined by measuring the  change  in potential  produced by  the additional nitrate.
Grab  samples  of waste water effluent with nitrate concentrations ranging  from
2-20  mg/liter were collected from  nitrification pilot plants.  Higher readings
obtained with  the Simple  Electrode method than with Standard-Addition were attri-
buted to greater influence  of  high hardness and alkalinity in the waste water
on  simple electrode determinations.   Standard  errors  for nitrate determinations
with  the Brucine method were higher than for either electrode method,  and proce-
dures were  more time-consuming, requiring reagent preparation.   The  specific-
nitrate ion electrode  is-  recommended  as a relatively  inexpensive,  fast, portable
means of nitrate determination  in  waste water  for concentrations as  low as 1
mg/liter nitrate-N.

77:05A-010
A MICRO-KJELDAHL TECHNIQUE  FOR NITROGEN DETERMINATION IN WATER,  WASTEWATER, AND
SLUDGE,
Stephenson, R.L.
Butler, Fairman and Seufert, Incorporated,  Carmel, Indiana.
Journal Water Pollution Control Federation, Vol.  49,  No. 12, p 2499-2502, December
1977.   2 tab,  5 ref, 1  append.

Descriptors:   *Nitrogen,  *Ammonia, *Amino acids,  *Acids, *Ammonium compounds,
Testing procedures, Analytical techniques,  Measurements, Nitrogen  compounds,
Nitrification, Application  methods, Methods, Waste water treatment.

A modification of the micro-Kjeldahl  technique was developed as  a  simplified method
of measuring the nitrogen  content  in waste  water, sludge,  and water.   A 5-ml sam-
ple containing ammonia nitrogen is subjected to a temperature of 340C,  producing
ammonium bisulfate and  ammonium sulfate.  The  sample  is diluted  after digestion
with  ammonia-free water and its pH is  raised to 10 with the  addition of sodium
hydroxide.  The nesslerization technique is used  to  calculate the  ammonia nitrogen
concentration in the sample.  The  simplified technique  was tested  in laboratory
                                         189

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experiments with four representative amino acids:  glycine,  methionine, tryptophan,
and diphenylcarbazone.   The nitrogen concentration of the samples were 500,  250,
50, and 10 mg/liter.   Nitrogen recovery from glycine, used to represent a mono-
amino monocarboxy acid,  ranged 92-100%.  Nitrogen  recovery with methionine,  used
as a long-change, sulfur-containing amino acid,  ranged 96-124%.  Tryptophan,  as
a heterocyclic acid,  exhibited recoveries of 100-160%.  Diphenylcarbazone,
insoluble in acid solutions,  showed poor recovery  of nitrogen,  ranging 8.4-120%.
                                       190

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                                   SECTION XIX


                     WATER QUALITY MANAGEMENT AND PROTECTION

                    SOURCES AND FATE OF POLLUTION  (GROUP O5B)


77:05B-001
EXPERIMENTAL AND SIMULATED TRANSPORT OF PHOSPHORUS THROUGH SANDY SOILS,
Mansell,  R.S., Selim, H.M., Kanchanasut, P., Davidson, J.M., and Fiskell, J.G.A,
Florida University, Department of Soil Science, Gainesville, Florida.
Water Resources Research, Vol. 13, No. 1, p 189-194, February 1977.  8 fig,
2 tab, 24 ref.

Descriptors:  *Phosphorus, *Soils, *Sands, *Path of pollutants, Laboratory tests,
Model studies, Mathematical models, Phosphates, Phosphorus compounds, Adsorption,
Chemical precipitation, Soil water movement, Leaching, Soil chemistry, Fertilizers,
Pollutants, Water pollution.

Reversible equilibrium adsorption-desorption relationships were inadequate for
describing the transport of orthophosphate through water-saturated and water-un-
saturated cores from surface A sub 1 and subsurface A sub 2 horizons of Olsmar
fine sand.  Using a kinetic model with nonlinear reversible adsorption-desorption
improved descriptions of phosphorus transport through these soils.  Phosphorus
effluent concentrations were described best by using an irreversible sink for
chemical immobilization or precipitation with a nonlinear reversible kinetic
adsorption-desorption equation.


77:05B-002
LYSIMETER AND FIELD MEASUREMENTS OF CHLORIDE AND BROMIDE LEACHING IN AN UNCULTI-
VATED LOAMY SAND,
Saffigna, P.G., Keeney, D.R., and Tanner, C.B.
Wisconsin University, Department of Soil Science, Madison, Wisconsin.
Soil Science Society of America Journal, Vol. 41, No. 3, p 478-482, May-June, 1977.
4 fig, 4 tab, 12 ref.

Descriptors:  *Leaching, *Halides, *Lysimeters, *Chlorides, *Bromides, *Path of
pollutants. Tracers, Dispersion, Soils, Soil water, Soil water movement, Solvents,
On-site investigations, Drainage, Soil profiles, Soil physics, Soil science.

Field and lysimeter measurements were made of Cl and Br leaching in a Plainfield
loamy sand at Hancock, Wisconsin.  Chloride and Br were excellent companion tracers,
moving in a 1:1 ratio through the 500-cm field profile to the water table even
when differences in halide leaching occurred between adjacent sites.  Half of the
Cl or Br applied to the lysimeters was leached through the 125-cm lysimeter profile
in 13 or 17 cm of drainage during 22- and 205-day experiments, respectively.  Edge
effects in the lysimeter were studied by applying Br near the edge and Cl in the
center.  Bromide was detected in the lysimeter drainage before Cl, but overall,
edge effects were small.  Lateral movement of Cl and Br in the lysimeter profile
was less than 20 cm, which helps explain why large localized variations in solute
transport can persist to considerable depth in this sandy soil,  The differences
in the distribution of halide between adjacent soil profiles within the lysimeter
and field exceeded the average differences between the field and the lysimeter soil
profiles.


77:056-003
EFFECTS OF IRRIGATION MANAGEMENT ON THE QUALITY OF IRRIGATION RETURN FLOW IN ASHLEY
VALLEY, UTAH,
Bliesner, R.D., Hanks, R.J., King, L.G., and Willardson, L.S.
Superior Farming Company, Bakersfield, California.
Soil Science of America Journal, Vol. 41, No. 2, p 424-428, March-April, 1977.
5 fig, 3  tab, 11 ref.


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Descriptors:  *Leaching, Irrigation effects, *Utah, *Return flow, *Irrigation
water, Salinity, On-site investigations, Sprinkler irrigation, Soil management,
Alfalfa, Electrical conductance, Soil profiles, Lysimeters.

A study was conducted to evaluate reduced leaching fractions under different
field water management conditions.  Three qualities of water were applied at
three leaching fractions to areas of an alfalfa (Medicago sativa L.) field
having three depths to the water table.  A sprinkler irrigation was used, with
the electrical conductivity of the irrigation water and soil solution extract
at various depths measured for each application.  Results indicate that soil
profile salinity is relatively unaffected by leaching fraction for short periods
of time (1 to 2 years),  due to high relative concentrations of calcium and sul-
fate in the irrigation water and soil solution.  The electrical conductivity of
waters applied averaged 0.98, 2.22 and 2.80 mmhos/cm, respectively, for the
season.  Leaching fractions for the low leaching treatment of each water quality
averaged 0.003, with other treatments ranging from 0.082 to 0.343.  The total
amount of salt removed in irrigation return flow from such an area varies directly
with drainage water quantity since the concentration is relatively constant.


77:058-004
MODELING NITRATE MOVEMENT AND DISSIPATION IN FERTILIZED SOILS,
Saxton, K.E., Schuman, G.E., and Burwell, R.E.
Agricultural Research Service, Department of Hydraulic Engineering, Columbia,
Missouri.
Soil Science Society of America Journal, Vol. 41,  No. 2, p 265^271, March-April,
1977.   5 fig, 1 tab, 27 ref.

Descriptors:  *Model studies, *Leaching, *Nitrates, *Iowa, *Path of pollutants,
Water pollution sources, Solutes, Fertilizers, Movement, Soil profiles. Mathe-
matical model, Agricultural watersheds, Soil water movement( Percolation, Soil
moisture, Pollutants, Demonstration watersheds, Crops, Corn (field).

It is important to know the fate of nitrogen  (N) fertilizers to ensure crop
production and to avoid pollution, but frequent measurement of soil N is dif-
ficult.  Therefore, a digital model was developed to calculate the occurrence,
movement, and dissipation of nitrate-nitrogen  (N03-N) within the soil profile
of fertilized agricultural lands.  Daily N03-N amounts and distributions within
a 1.8-m soil profile were calculated by representing the major processes in-
fluencing N03-N for the entire year.  Daily soil moisture amounts and movement
were predicted by a previously developed soil moisture-evapotranspiration model.
Profiles of N03-N measured periodically on two research watersheds in western
Iowa, one normally fertilized  (168 kg/ha per year) and the other excessively
fertilized  (448 kg/ha per year) with N, were used for model verification.  The
daily calculations for the fertilized cornfields with moderately permeable soils
included N03-N movement, dissipation, and profile leaching.  The predicted N03-N
profiles closely represented those measured.  Like most prediction methods, this
one was developed to a state of utility, but revisions, improvements, and ad-
ditions always are possible and desirable.  Many of the model representations
could be improved by including additional details and refinements.  And some
assumptions, like negligible denitrification, could be eliminated if proper
representation were available,


77:058-005
CHEMICAL QUALITY OF EFFLUENTS AND THEIR INFLUENCE ON WATER QUALITY IN A SHALLOW
AQUIFER,
Purtymun, W.D., Buchholz, J.R., and Hakonson, T.E.
Los Alamos Scientific Laboratory, Los Alamos, New Mexico.
Journal of Environmental Quality, Vol. 6, No, 1, p 29-32, January-February, 1977,
2 fig, 4 tab, 5 ref.

Descriptors:  *New Mexico, *Water quality, *Alluvial aquifers, *Waste water dis-
posal, Effluents, Water pollution sources, Chemicals, Aquifers, Data collections,
On-site investigations, Evaluation, Storm runoff, Hardness  (water), Fluorides,
Calcium, Carbonates, Sodium, Nitrates, Chlorides, Bicarbonates,
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The chemical quality of liquid effluent  released  from an  industrial waste  treat-
ment plant at the Los Alamos Scientific  Laboratory  controls  the  quality  of water
in a shallow aquifer in the alluvium of  Mortandad Canyon.  The dilution  of the
effluent with surface flow in the canyon reduces  the  concentrations of the chemicals
as they move down gradient into the aquifer.  Mass  estimates of  residual chemicals
in solution in the aquifer average 1-6%  of  the  total  chemicals released  to the
canyon from 1963-1974.  The average annual  concentration  of  sodium, nitrate, chloride,
and total dissolved solids in the aquifer through a 12-year  period was directly
correlated with annual average concentrations in  the  effluent.   This  relationship
provides a means of predicting the impact of the  chemical effluents on the quality
of water in the aquifer.  Chemical concentrations in  solution in the  aquifer have
increased over prerelease levels; however,  there  has  not  been a  steady accumulation
of these materials in the water with time.  The rapid loss of water and  its as-
sociated chemicals from the aquifer prevents chemical accumulation and indicates
that cessation of effluent release to  the canyon  would rapidly improve the quality
of water in the aquifer.


77:056-006
PERSISTENCE OF PROPANIL, DCA, AND TCAB IN SOIL  AND  WATER  UNDER FLOODED RICE CULTURE,
Deuel, I.E., Jr., Brown, K.W., Turner,  F.C., Westfall, D.G., and Price,  J,D.
Texas Agricultural Experiment Station,  College  Station, Texas.
Journal of Environmental Quality, Vol.  6, No. 2,  p  127-132,  April-June,  1977.  6
fig, 3 tab, 14 ref.

Descriptors:  *Pesticides, *Herbicides,  *Irrigation,  *Rice,  Pollutants,  Agricultural
chemicals, Analytical techniques, Pesticide residues, Sprays, Leaching,  Water pol-
lution, Soil contamination, Water pollution sources,  Pollutant identification,
Water quality. Agronomy, Soil analysis,  Water analysis.

Field experiments were  conducted  to  determine  the residue levels of propanil  (3',
4'  -dipropionanilide, DCA  (3,  4-dichloroaniline), and TCAB  (3,  3',  4, 4'-
tetrachloroazobenzene)  in  the  flood  water and  Beaumont clay  soil under normal
rice  (Oryza  sative  L.)  cultivation.   Propanil  applied as  a foliar spray  at 3.4
and 6.8 kg/ha  24 hours  before  flooding was  dissipated from the  flood  water within
24  hours  following  the  flood.   The amount of propanil dissipated corresponded to
the DCA concentration in the  flood water at 24  hours, indicative of biological
quantities.  Neither propanil nor  its  metabilities  were detected in soil samples
collected  at 2.5-5.0 cm and 17.5-20.0  cm below  the  surface 24 hours following
the application of  the  flood water.

77:05B-007
EFFECT OF  TEMPERATURE AND HYDROXY ALUMINUM  INTERLAYERS ON THE ADSORPTION OF
TRACE RADIOACTIVE CESIUM BY SEDIMENTS  NEAR  WATERS-COOLED NUCLEAR  REACTORS,
Elprince,  A.M., Rich, C.I., and Martens, D,C,
Virginia Polytechnic Institute  and State University,  Department  of Soils and Water,
Blacksburg, Virginia.
Water Resources Research, Vol.  13, No. 2, p 375-380,  April 1977.  3 fig, 1 tab,
38  ref.

Descriptors:   *Cesium,  *South Carolina,  *Radioactive  wastes, *Nuclear reactors,
Thermal pollutions, *Radioisotopes,  Nuclear wastes,  Water pollution  sources,.
Radiochemical  analysis, Water quality, Water pollution, Adsorption, Chemical
properties, Expansive clays,  Heat  pollution, Water  temperature,  Physical pro-
perties,  Sediments.

The adsorption of Csl37 by  sediments  from the  Savannah River Plant follows a
theoretically  expected  linear relationship  between  In Kd  and 1/T where Kd  and T
are the equilibrium distribution  coefficient  (Cs  adsorbed, meg/g/Cs(+)  in  solution,
meq/ml) and  the temperature  in  kelvins, respectively.  The slope of  the  plots
decreases  after removal of  hydroxy Al interlayers with citrate  pretreatment,
Hydroxy Al interlayers  thus make  Cs ( + ) adsorption more temperature dependent.  The
thermal effect of hydroxy Al  interlayers becomes  more significant in  sediments con-
taining a  swelling  2:1-2; 2  intergrade clay  mineral.  The  phenomenon was  explained
by  considering hydroxy  Al  interlayers as a  source of  hydronium_ions H30(-} which
compete with Cs(+}  for  exchange positions in wedge  zones.  An increase  in^tempera-
ture favors an increase in H30(-)  ions,  which  in  turn favors less adsorption of
Cs(+).  Aside  from  the  thermal  effect, the  positively charged hydroxy aluminum
polymeric  groups drastically  decrease the cation  exchange capacity and,  conse-
quently, the adsorption of  cesium.
                                         195

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77:058-008
SIMULATION OF TWO-DIMENSIONAL CONTAMINANT TRANSPORT WITH ISOPARAMETRIC HERMITIAN
FINITE ELEMENTS,
van Genuchten, M.T., Pinder, G.P., and Frind, E.G.
Princeton University, Department of Civil Engineering, Princeton, New Jersey-
Water Resources Research, Vol. 13, No. 2, p 451-458, April 1977.  10 fig,
11 ref.

Descriptors:  *Pollutants, *Soil contamination, *Model studies, *Mathematical
models, Mathematical studies, Mathematics, Finite element analysis. Path of
pollutants, Dispersion, Infiltration, Analytical techniques, Data processing,
Groundwater movement.

A deformed isoparametric Hermitian element can be used in the simulation of two-
dimensional contaminant transport.  The degree of freedom arising from the cross
derivative may be eliminated in the Galerkin-type finite element formulation,
reducing the computational effort per node.  Two example problems demonstrated
that the Hermitian element gives results which are comparable to those obtained
with the zero-order continuous cubic element but requires 25-40% fewer degrees
of freedom, depending on the geometrical description of the problem.


77:058-009
HERBICIDES FROM CROPPED WATERSHEDS IN STREAM AND ESTUARINE SEDIMENTS IN HAWAII,
Green, R.E., Goswami, K.P., Mukhtar, M., and Young, H.Y.
Hawaii University, Department of Agronomy and Soil Science, Honolulu, Hawaii.
Journal of Environmental Quality, Vol. 6, No. 2, p 145-154, April-June, 1977.
1 fig, 7 tab, 34 ref.

Descriptors:  *Pesticides, *Herbicides, *Agricultural chemicals, *Pollutants,
*Water quality, *Hawaii, Water pollution, Soil contamination, Agronomy, Soil
analysis, Sugarcane, Sediments, Degradation  (decomposition), Runoff, Phytoplankton,
Marine biology, Analytical techniques, Path of pollutants.

Analysis of sediments and soils associated with two estuaries on Oahu was con-
ducted to determine if herbicides used in plantation crops reach coastal waters.
Analytical procedures were developed for simultaneous extraction of atrazine,
ametryn, diuron, and DCA.  Field soil and runoff samples from two small monitored
watersheds provided additional information on the dissipation of diuron in sugar-
cane and pineapple fields, and on diuron removal in runoff waters.  Atrazine and
ametryn dissipated rapidly in field soils, and neither was found normally in
stream and estuarine sediments.  Diuron, on the other hand, was sufficiently
persistent in soils and sediments to be found in nearly all sediment samples
obtained at six month intervals at several sites for each estuary and its
associated streams.  Diuron in sediments was generally less than 500 ppb (oven-
dry basis), but occasionally much higher concentrations were encountered at
sites which were subject to localized contamination from spray equipment loading
areas.  Diuron appears to be transported in runoff waters principally in the
solution phase rather than adsorbed on suspended solids.  Estuarine waters (West
Loch) contained 0.1 to 1 ppb diuron, while concentrations i runoff waters were
several times higher.  It is not known if the chronic low levels adversely affect
the ecological balance of the estuary-


77:058-010
NITRATE-N PERCOLATION THROUGH IRRIGATED SANDY SOIL AS AFFECTED BY WATER
MANAGEMENT,
Smika, D.E., Heermann, D.F., Duke, H.R., and Bathchelder, A.R.
Agricultural Research Service, Akron, Colorado.
Agronomy Journal, Vol. 69,- No. 4, p 623-626, July-August, 1977.  3 fig, 3 tab,
9 ref.

Descriptors:  *Water management  (applied), *Percolation, *Fertilizers, *Water
pollution, *Nitrates, Nitrogen, Groundwater, Soil types, Sands, Irrigation
effects,  Irrigation systems, Sprinkler irrigation.

A study was conducted to determine the magnitude and difference in N03N losses
from two widely different but current farmer-used fertilizer management
practices with scheduled irrigation systems on sandy soils.  The experiments were
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conducted during three consecutive corn  growing  seasons  on three  irrigation
systems in Colorado.  Nitrate-N percolation  losses  were  measured  in water
samples collected at 150 centimeters below the soil surface in  vacuum extractors.
The actual amount of N03N that will move through the soil  is proportional  to
the concentration of N03N in the  soil  and the amount of  water that moves through
the soil.  The movement of nitrogen fertilizer below the major  root zone of corn
grown on loamy fine sand soils can be  kept very  small with proper water and ferti-
lizer management, thereby minimizing the N03N pollution  potential of  the ground-
water.


77:05B-011
QUALITY OF IRRIGATION RETURN FLOW FROM FLOODED RICE PADDIES,
Brown, K.W., Deuel, L.E., Turner, F.C.,  and  Price,  J.D.
Texas A & M University, Department of  Soil and Crop Sciences, College Station,
Texas.
Proceedings of National Conference on  Irrigation Return  Flow Quality  Management,
Colorado State University, Fort Collins,  Colorado,  p 153-166, May 16-19, 1977.
16 fig, 18 tab.

Descriptors:  Irrigation, Return  flow, Rice, Pesticides, Nutrients, Nitrates,
Phosphates, Potassium, Fertilizers, Irrigation water.

A three year field aad laboratory study  was  conducted to determine the quantity
and quality of irrigation return  flow  from flooded  rice  culture.  Both inter-
mittent and continuous flow irrigation techniques were evaluated. Selected
pesticides and nutrients were applied  at recommended and excessive rates.  The
concentrations of nitrate, phosphate and potassium  in the  return  flow were all
within levels acceptable for drinking  water.  Only  small amounts  of the ferti-
lizer applied to the soil before  flood or in the floodwater were  lost in the
irrigation return flow.  The large amounts of rainfall received each  year  diluted
the salts in the flood water so that the salt load  of irrigation  return flow did
not differ greatly from that of the irrigation water. Increases  in the electrical
conductivity of the floodwater resulted  from the release of certain ions from the
soil after fertilizer applications.  These increases lasted for periods of 5-10
days.


77:05B-012
EVALUATION OF SURFACE IRRIGATION  RETURN  FLOWS IN THE CENTRAL VALLEY OF CALIFORNIA,
Tanji, K.K., Biggar, J.W., Miller, R.J.,  Pruitt, W.O., and Horner, G.L.
California University, Department of Land, Air and  Water Resources, Davis,
California.
Proceedings of National Conference on  Irrigation Return  Flow Quality  Management,
Colorado State University, Fort Collins,  Colorado,  p 167-173, May 16-19, 1977.
9 fig, 2 tab, 7 ref.

Descriptors:  Variability, Return flow.  Water quality, Water quality  control.

The variability in the quantity and quality  of surface return flows from two
typical irrigation districts is reported for the 1975 and  1976  irrigation  seasons.
Factors contributing to such variations  are  noted.   Emphasis is placed upon the
concentration and mass emission of TDS and SS.   The implications  of these  findings
are discussed relative to PI 92-500 and  best management  practices.


77:05B-013
MODELING SALT TRANSPORT IN THE IRRIGATED SOILS OF GRAND  VALLEY,
Ayars, J.E., McWhorter, D.B., and Skogerboe, G.V.
Maryland University, Department of Agricultural  Engineering, College  Park,
Maryland.
Proceedings of National Conference on  Irrigation Return  Flow Quality  Management,
Colorado State University, Fort Collins,  Colorado,  p 369-374, May 16-19, 1977.
6 fig, 1 tab, 6 ref, 2 equ.

Descriptors:  Model studies, Simulation  analysis, Colorado,  Colorado  river,
Salinity, Saline soils, Saline water,  Leachate,  Return flow.

This study was undertaken to evaluate  the effects of the volume of leachate leaving
the soil profile on the quality of the leachate. A numerical salt transport model
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was selected for use in the study.  Field data to calibrate the model were collected
on 63 research plots located in the Grand Valley.  The model was tested and cali-
brated with the field data and then used in a series of hypothetical_simulations
designed to provide the required information.  The modeling results  indicate that
the salt concentration of the leachate is independent of the volume  of leachate.
The six-year simulation showed that the concentration of salt below  the root zone
was relatively constant.  Therefore, the salt loading due to subsurface irrigation
return flows can be calculated from a water budget analysis, with salt load
reductions being directly proportional to the reduced volume of subsurface return
flow.


77:058-014
UPTAKE AND LOSSES OF 15N APPLIED TO ANNUAL GRASS AND CLOVER IN LYSIMETERS,
Jones, M.B., Delwiche, C.C., and Williams, W.A.
California University, Department of Agronomy and Range Science, Davis, California.
Agronomy Journal, Vol. 69, No. 6, p 1019-1023, November-December, 1977. 2 fig, 3
tab, 10 ref.

Descriptors:  Nitrogen, Lysimeters, Fertilizers, Fertilization, Nutrients, Leaching,
California, Denitrification.

The California annual grasslands comprise about one-third of th,e state, and they
play a large role in the hydrology of most watersheds in central and northern
California.  Apparent recovery of applied N has been low, and a large percentage
has been unaccounted for in N balance studies.  The present experiment was done
with 15N to determine the fate of applied N, especially that leached and that
volatilized  (by difference).  Conclusions:  There was modest leaching loss but
essentially no gaseous loss from moderate rates of N applied to grass in February;
recovery of fertilizer by clover was poor; and a single large application (500 kg
N/ha) resulted in a substantial leaching and gaseous losses under both grass and
clover.


77:058-015
DEICING SALT MOVEMENT AND ITS EFFECTS ON SOIL PARAMETERS AND VEGETATION,
Buzio, C.A., Burt, G.W., and Foss, J.E.
Maryland University, Department of Agronomy, College Park, Maryland  20742.
Agronomy Journal, Vol. 69, No. 6, p 1030-1032, November-December, 1977.  3 fig,
1  tab, 13 ref.

Descriptors:  Salts, Soils, Soil investigations. Soil properties, Chlorides,
Salinity, Saline soils.

Salt damage to the environment occurs in restricted areas in humid regions as a
result of factors such as industrial waste, sea water, and deicing salt.  A
study was conducted, therefore, to determine the distribution of salt leached
from a deicing salt pile, and its effects on soil parameters (pH, Mg, P, and K)
and plant successional changes in a hardwood forest area.  Lateral movement and
leaching of chloride was studied as it occurred in an adjacent slope by
sampling the soil to a depth of 76 cm at 17 sites.  The soil samples collected
from the field were then analyzed for salt content by using the conductivity
bridge.  Lateral movement (of chloride) was extensive with subsequent leaching
to a depth greater than 76 cm.  Of the measured soil parameters, only K was
found to be correlated with NaCl concentration.  Within three years  of the
establishment of the salt stockpile, all the trees in the sampled area were dead.
Out of 29 plant species found to have invaded the sites with less than 5,000 ppm
of NaCl, only 10 were found in sites with concentrations greater than 15,000 ppm.
Recommendations to be considered when establishing a deicing salt pile are
presented.


77:05B-016
SOLUTE TRAVEL TIMES TO WELLS,
Kirkham,  D., and Affleck, S.B.
Iowa State University, Department of Agronomy, Ames, Iowa.
Ground Water, Vol. 15, No. 3, p 231-242, May-June, 1977.  7 fig, 15  ref.
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Descriptors:  *Groundwater,  *Solutes,  *Groundwater movement,  *Traveltime,  *Model
studies, Mathematical models, Aqueous  solutions,  Nitrates,  Wells,  Water wells,
Water pollution, Water pollution  sources,  Hydraulic conductivity.

Theoretical travel times were given  for  a  solute  to reach a well  from  an  injection
point for wells that fully penetrate confined aquifers  of constant thickness and
mainly constant conductivity and  porosity.   Solute is assumed to  move  along
streamlines with the water in piston flow  under steady  flow conditions.   Three
cases were considered.   (1)  For a "standard"  well of external radius of influence
r sub e and well radius r sub w,  the travel  time  varies approximately  directly
as the square of the distance r of the injection  point  from the well,  as  the
ratio f/K of porosity to conductivity, and as In  r sub  e/r sub w.   (2) For  a well
in which the flow region is  divided  by radius r sub c into two regions, with the
region next to the well clogged and  of very  low conductivity,  K sub I, the  travel
time varies approximately directly as  r  squared,  as f/K sub I, and as  1 n r sub
c/r sub w.  (3)  For a well  being fed  from a line drive (river) at a distance d
from the well, the travel time from  a  point  on the line drive to  the well varies
as the distance d squared, as f/K, as  1  n  2nd/r sub w,  and as a function  of the
position of the point along  the line drive.   In each case,  the travel  time  is in-
versely proportional to h sub e - h  sub  w, where  h sub  e is the head at the
radius of influence r sub e  (or at the line  drive)  and  h sub  w is the  head
at the well.  In the three cases, doubling the pumping  rate halves the travel
time.  Travel times can affect the extent  of chemical changes of  the solute
 (contaminant) during its flow to  the well.


77:058-017
NITRATE AND CHLORIDE IN GROUND WATER UNDER IRRIGATED AGRICULTURE  IN CENTRAL
WISCONSIN,
Saffigna, P.G., and Keeney,  D.R.
Wisconsin University, Department  of  Soil Science, Madison,  Wisconsin.
Ground Water, Vol. 15, No. 2, p 170-177, March-April, 1977.  3 fig, 4  tab,  18 ref.

Descriptors:  *Nitrates, *Chlorides, *Groundwater,  *Wisconsin, Agriculture,
Irrigation, Return flow, Leachate, Fertilization, Potatoes, Beans, On-site  data
collections, Groundwater movement, Sampling,  Water quality. Land  management.

Results of  this study indicated that the nitrate  and chloride concentrations in
the groundwater of the central Wisconsin sand plains are signficantly  above
background, and that the main source is  the  irrigated agriculture in the  region.
The study was conducted at three  levels  of intensity:   a small field during one
growing season, a University Experimental  Farm over several years, and many
local farms during part of a growing season.   Differences in  concentrations of
nitrate-N and chloride in the surface  of the groundwater underlying the moderately
fertilized  potato field closely reflected  the fertilizer and  irrigation manage-
ment on different parts of the field during  that  season.  This detailed study
of one  field showed that solute transit  times through the 16  ft.  (5 m) of un-
saturated zone to the surface of  the groundwater  are less than a  year.
Differences in concentration of nitrate-N  and chloride  between irrigation wells
on the Experimental Farm closely  reflected the irrigation and fertilizer
practices on surrounding fields.   On a large scale, the nitrate-N and  chloride
concentrations in area farmer irrigation wells were as  different  between  wells
on the same farm as among the various  farms.


 77:05B-018
GROUNDWATER TURBIDITY RESULTING FROM ARTIFICIAL RECHARGE,
Nightingale, H.I., and Bianchi, W.C.
Agricultural Research Service, Fresno, California.
Ground Water, Vol. 15, No. 2, p 146-152, March-April, 1977.  8 fig, 1  tab,  21 ref.

Descriptors:  *Groundwater,  *Turbidity,  California, Groundwater  recharge,  Arti-
ficial recharge, Salinity, Wells, Groundwater movement, Hydrology, Aquifers,
Aquifer testing, Laboratory  tests, On-site investigations.

Turbid groundwater is rarely observed  in domestic or public supply aquifers.  At
the Leaky Acres Recharge Facility at Fresno,  California, water of low  salinity
 (less than  50 micromhos/cm)  and turbidity  (less than 5  FTU, Formazin turbidity
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units) is recharged in the spreading basins.  Six months after the start of  the
third  (1973) recharge period, the groundwater salinity was decreased to about  100
micromhos/cm from the initial mean of 147 micromhos/cm, and the groundwater
became visibly turbid (more than 5 FTU).  Two months later, some peripheral
domestic wells also began to become turbid.  After two more recharge periods
(1974  and 1975), turbidity at 10 observation wells beneath Leaky Acres averaged
18 FTU, and salinity averaged 74 micromhos/cm.  By this time, groundwater
turbidity in peripheral wells near Leaky Acres had decreased to less than  0.5
FTU.   This turbidity was raced to poorly crystallized and extremely fine colloids,
which  have leached from the surface soils because of the low salinity of the
recharge water.  Laboratory and field studies showed that gypsum application
will reverse the phenomena, but such treatment is uneconomical.  This phenomenon
is a transient one, and now turbidity outside the recharge area is insignificant
from a water quality viewpoint.  However, the magnitude of the mass of material
in transit through the profile if stabilized through flocculation or sieving
in soil pore space, could greatly change the water transmission and so recharge
project performance.  However, this effect has not yet been noted at Leaky Acres.


77:056-019
AN INTEGRATED APPROACH TO DELINEATING CONTAMINATED GROUND WATER,
Berk,  W.J., and Yare, B.S.
Berk and Ciaramella, Cranbury, New Jersey.
Ground Water, Vol. 15, No. 2, p 138-145, March-April, 1977.  5 fig, 3 tab, 6 ref.

Descriptors:  *Groundwater, *Water pollution sources, *Atlantic coastal plain,
*Groundwater movement, Observation wells, Groundwater recharge, Water pollution,
Hydrogeology, Sodium chloride, Aquifers, Hydrology.

Disposal of industrial process water into an unlined lagoon in permeable Atlantic
Coastal Plain sediments resulted in a groundwater contamination problem caused
by infiltration of the process water into a major unconfined aquifer which un-
derlies the lagoon at shallow depth.  Most of the area water supply wells termi-
nate in this formation.  Before this disposal method was discontinued, traces of
the process water appeared in nearby wells.  Because of the relatively large area
and depths involved, as indicated by preliminary data,  delineation of the dis-
tribution of contaminant within the aquifer through a systematic well drilling
program posed a significant economic problem.  To keep costs within a reasonable
range, a resistivity survey program was  implemented to obtain information on the
gross  distribution of the contaminant and to provide data for the selective
location of monitor wells.  Eight wells  were constructed to obtain samples of
the groundwater in order to measure contaminant concentrations and to verify the
interpretations of areal contaminant distribution inferred from the resistivity
data.  The groundwater sampling procedure developed during this investigation
was described.  The combination of the resistivity survey with the groundwater
sampling procedure developed during this investigation proved to be a valuable
and reliable technique for delineating in three dimensions a contaminant body
within an aquifer in unconsolidated sediments.  Utilization of the resistivity
survey data to selectively locate the monitor wells and to define the lateral
extent of the contamination increased the efficiency of the investigation and
significantly reduced'the cost of the program.


77:058-020
WATER  QUALITY VARIATIONS FOR PUMPING WELLS,
Schmidt, K.D.
Groundwater Quality Consultant,  Fresno,  California.
Ground Water,  Vol.  15,  No. 2,  p 130-137, March-April, 1977.  7 fig, 9 ref.

Descriptors:  *Groundwater, *Water quality, *Monitoring, California, *Water
wells, Water pollution.  Nitrates, Shallow wells, Alluvial aquifers, Fluctuations,
Variability, Sampling,  Water sampling, Seasonal, Water supply, Pumping.

Past groundwater quality monitoring programs have often involved sampling of
low-capacity wells  near point or line sources of recharge or pollution.  However,
large-capacity wells produce much of the groundwater pumped for municipal, indus-
trial,  and agricultural uses.   Short-term, seasonal, and long-term fluctuations
in quality are common for water pumped from many large-capacity wells.  In many
                                       198

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cases, there is a considerable difference between  in-sitn  "nr™  x   4-
and the quality of water sampled at the well  discharge   Shorttf
for several municipal wells in the San Joaguin Valley   CaUr'ornia   i
nitrate concentrations decreased exponentially with  pumping  time   VaSabifff-    *
in pump operation creates substantial short-term chanoes in  woT?"   Variability
Short-term changes are most evident for infrecently pumpeS   sJalT™" ?f ^
point or line sources of recharge or pollution   q^Lon*?  * shallow wells near
been documented for water from wel?s in areas of diSuse sourcL^of" 'n *^ ^
such as agricultural return flow and septic tanks    These  ohanaes fr^fl     "'
raarily to significant changes in depth lo water  and  vertL2 hydraulic heal""
gradient.  Once the short-term and seasonal trends are  established  the  ootirn.i
sampling approach can be determined in order  to  establish  long-term trends


77:05B-021
QUANTIFYING THE NATURAL FLUSHOUT OF ALLUVIAL AQUIFERS,
Fryberger, J.S., and Bellis, W.H.
Engineering Enterprises, Inc., Norman, Oklahoma.
Ground Water, Vol. 15, No. 1, p 58-65, January-February, 1977.   6 fig, 7 ref.

Descriptors:  *Alluvial aquifers, *Groundwater,  *Water  pollution, *Model studies,
Mathematical models, Water quality. Salinity, Salts, Precipitation  (atmospheric),
Flow, Groundwater movement, Base flow, Alluvium, Evapotranspiration, Evaporation,
Pollutants, Path of pollutants, Forecasting, Pollution.

A plume of contaminated water may extend downstream  for several  miles in an
alluvial aquifer.  Hydrologic forces acting on the aquifer generally tend to
dilute the contaminant downstream from the source.   After  the pollution has been
stopped, how rapidly will these hydrologic forces  flush out  the  contaminant.  The
answer to this question may be calculated by using the  mass-balance equation herein
developed.  This described mass-balance mathematical model incorporates all the
hydrologic forces acting on the alluvial aquifer that affect the concentration of
the contaminant.  Methods were presented to define and  quantify  each of  the hydro-
logic forces.  These forces include:  (1) present  quantity and quality (with respect
to contaminant) of water in the alluvium and  the change in the quality downstream,
(2) quantity and quality of groundwater inflow,  (3)  quantity and quality of flood
inflow,  (4) quantity and quality of base flow,  (5) quantity  of recharge  from preci-
pitation, and  (6) quantity of loss from evapotranspiration.   The equation was first
balanced to agree with past conditions and observed  field  data,  and it was then
used to predict future quality changes after the pollution is stopped.  The
method is applicable primarily to situations in  which the  pollution has been
taking place over a long period of time and the  water quality in the alluvium
has reached equilibrium at any given point.  Modifications may be possible to
permit use of the general approach to short-term of  slug-type pollution events.


77:058-022
PROBLEMS OF HEAT STORAGE IN AQUIFERS,
Werner, D., Kley, W.
Eidgenoessische Technische, Zurich (Switzerland).
Journal of Hydrology, Vol. 34, No. 1/2, p 35-43, July 1977.   3 fig, 7 ref.

Descriptors:  *Thermal pollution, *Storage, *Heated  water, *Aquifers, On-site
investigations, Model studies, Mathematical models,  Underground  storage, Heat
transfer, Diffusion, Convection, Temperature, Groundwater, Powerplants, Nuclear
powerplants, Wells, Injection wells.

A hydrothermic field experiment near Krefeld  (Federal Republic of Germany) was
used to study the propagation of heat in groundwater.   For two months, water at
a temperature of 45 C was fed through a well pipe  to the water-bearing strata,
the distribution of temperature in the surrounding space was measured, and its
variation with time was observed.  A theoretical model  was developed to  simulate
the field experiment.  The model consisted of a  time-spaced  differential method
with the help of which good conformity between theory and  experiment was
obtained.  The aim of the study was to ascertain the physical bases for  the
storage of heat in groundwater.  The technoeconomic  and environmental problem was_
posed because of the enormous quantities of cooling  water  necessary in the operation
of atomic power stations.  A functional theoretical  model  can help  to decide how
far the idea of storing heat in an aquifer is technically  feasible.
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77:05B-023
INTERFACIAL REACTIONS AND THE FATE OF HEAVY METALS IN SOIL-WATER SYSTEMS,
Huang, C.P-, Elliott, H.A.,  and Ashmead, R.M.
Delaware University, Newark,  Delaware.
Journal Water Pollution Control Federation, Vol. 49, No. 5, May 1977, p 745-
756.  8 fig, 1 tab, 32 ref.

Descriptors:  *Water pollution sources, *Heavy metals, Interfaces, Earth-water
interfaces, Chemistry, Adsorption, Chemical precipitation, Soil chemistry,
Solubility.

The processes and factors that govern the fate of heavy metals in the soil-
water system are identified as dissolution-precipitation and adsorption.  The
congruent and incongruent solubility of oxides, hydroxides, sulfates, sulfides,
and carbonates of heavy metals contributes to the chemical constituents of
soil-water.  The process is influenced by pH, redox potential, the amount of
carbonate and sulfur present and the presence of organic substances.  The
formation of metal-chelates or metal complexes can render metal solids more
soluble.  Microorganisms, whose metabolic activities tend to modify the redox
potential and contribute organic acids can influence the solubility of metal
solids.  Interfacial association between heavy metals and soil minerals is
considered the most important process in regulating the concentration of heavy
metals in the soil-water environment.  Copper and zinc are more removable than
lead  and cadmium.  When the solid surfaces are very positively charged, posi-
tive  lead and cadmium ions are expelled away from the interface and result in
an  excess of metal ions in the bulk phase of the soil-water system.


77:058-024
RELATION OF CLIMATE TO LEACHING OF SOLUTES AND POLLUTANTS THROUGH SOILS,
Tanner, C.B.
Wisconsin University, Department of Soil Science, Madison, Wisconsin.
Final Report to NOAA, Environmental Data Service, May 20, 1977.  39 p, 9 fig,- 9
tab.

Descriptors:  *Soil water movement, *Pollutants, *Climates, *Nitrates, *Leaching,
*Path of pollutants, Soil physics, Groundwater, Evapotranspiration, Irrigation,
Water pollution sources, Soil contamination.

The original study had two objectives:  (1) To test whether a simple soil
physics model of nitrate leaching could be combined with analysis of weather
records to model nitrate movement to the water table.  This embraces both the
concentration distributions in the soil and the total flux.  Leaching is greatest
when heavily fertilized and irrigated crops are grown on sandy soils.  (2) The
second objective was to determine whether the leaching information could be
used to improve irrigation and fertilizer management to minimize leaching and
improve management efficiency of crops where nitrogen and irrigation are used
intensively.


77:05B-025
COMPLETION REPORT ON CONTRIBUTION OF FERTILIZERS TO WATER POLLUTION,
Douglas, L.A., and Bourodimos, E.L.
Rutgers, Department of Soils and Crops, New Brunswick, New Jersey.
Completion Report, Water Resources Research Institute, Rutgers University,
New Brunswick, New Jersey, July 1977.  8 p, 3 ref.

Descriptors:  *Nitrates, *Nitrites, *Ammonia, *Phosphates, *Leaching, *Fertilizers,
Land use,  Denitrification, Water pollution sources. Path of pollutants.

Field studies were undertaken to determine the magnitude of leaching of fertilizer
N03, NH4,  and P04.  The effect of N-serve on these reactions was observed, and
little effect on leaching was found because most leaching takes place during the
fall and winter when precipitation exceeds evapotranspiration.  No leaching takes
place during the fall and winter when precipitation exceeds evapotranspiration.
No leaching of NH4 and P04 was observed.  The common fertilizer efficiency mea-
sure of N in crop/N applied in fertilizer may be used as an indication of the
amount of fertilizer N that will be leached.  Studies of nutrients in streams
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were undertaken to relate land  use  to  N03,  NH4  and P04  concentrations  in  surface
waters.  Sewage treatment plants  and  "illegal drains" were  found to  be major
sources of all three ions.   In  order of  decreasing contribution of N03-   urban
land contributes more than  cropland which  contributes more  than woodlands.  Urban
lands, croplands and woodlands  contribute  equal amounts of  NH4  and P04 to streams
The "background level" of P04 in  central New Jersey streams is  many  times higher
than the 0.01 ppm level often advocated.   Although very high concentrations of
N03 were found in the soil  solution in the subsoil the  concentration of N03 found
in streams was rather low.   Denitrification must be an  active process  in  subsoils,
and probably in the groundwater.  Groundwater studies were  also undertaken, but
they were inconclusive.


77:058-026
SIMULATION OF NUTRIENT LOADINGS IN  SURFACE RUNOFF WITH  THE  NFS  MODEL,
Donigian, A.S., Jr., and Crawford,  N.H.
Hydrocomp, Incorporated, Palo Alto, California.
EPA Report No. 600/3-77-065, June 1977.  110 p, 30 fig, 8 tab,  24 ref, 3  append.

Descriptors:  *0rganic loadings,  *Storm  water,  *Mathematical models, *Nutrients,
*Urban runoff, Computer models, Phosphorus,  Nitrogen, Iron,  Suspended  solids,
Monitoring, Waste water treatment.

The Nonpoint Source Pollutant Loading  (NFS)  Model was evaluated for  simulation of
nutrient loading in surface runoff  with  one urban and two small agricultural
watersheds.  The NFS model  was  used to simulate total solids, total  Kjeldahl
nitrogen, total phosphorus,  and iron  for storm  runoff over  an 18-month period.
Phosphorus, total nitrogen,  and iron values predicted by the model compared
favorably with observed values.   Other parameters such  as ammonia nitrogen,
nitrate nitrogen^, and phosphate phosphorus,  which are transported in solution
rather than in the sediment fraction of  surface runoff, were not predicted as
accurately.  The NFS model  is suggested  as an adequate  means of simulating
nutrient loadings on the basis  of sediment loss.  Application of the model may
be  limited .if subsurface flow in  the area  being considered  is a major  portion of
total runoff.


77:058-027
ENVIRONMENTAL MODEL OF KISSIMMEE  RIVER BASIN,
Bedient, P.B., Huber, W.C.,  and Heaney,  J.P.
Rice  University, Department of  Environmental Science and Engineering,  Houston,
Texas.
Journal of the Water Resources  Planning  and Management  Division, American Society
of  Civil Engineers, Vol. 103, No. WR2, Proceedings Paper 13326, p 241-256,
November 1977.  10 fig, 2  tab,  13 ref, 2 append.

Descriptors:  *Runoff, *Drainage, *Florida, *Model studies,  *Path of pollutants,
Mathematical models, Wa£er  quality. Flood  control, Land use, Water pollution,
Pollutants, Phosphorus, Rivers, Lakes, Watersheds (basins),  Hydrographs,  Hydrology.

A hydrologic land-use model was developed  and applied to the Kissimmee River
Basin, Florida.  Surface runoff quantity and quality were estimated  for changing
land-use and drainage patterns  in order  to explain hydrologic and water quality
response along the river.   The  hydrologic  model (HLAND) was based on a daily
water balance for each soil land-use  type  in the watershed.   Predicted runoff was
routed down the river and  compared  to  measured  outflow  hydrographs.  Phosphorus
loading rates were calculated using measured concentrations of  total P and pre- _
dieted runoff volumes.  Observed  concentrations and loading rates from tributaries
along the river correlated  well with  the drainage density index, defined  as the
length of drainage network  per  unit area of watershed.   Results indicated that
greatest potential for control  of runoff quantity and quality exists in on-site
storage in marsh, pond, and lake  areas.


77:05B-028
INTERACTIVE EFFECT OF SALINITY  AND  PHOSPHORUS ON SESAME,
Cerda, A., Bingham,  F.T.,  and  Hoffmap, G.J.                   .     „,     •,
California University, Department of  Soil  and Environmental Science, Riverside
California  92521.
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Soil Science Society of America Journal, Vol. 41, No. 5, p 915-918, September-
October, 1977.   3 fig,  3 tab, 12 ref.

Descriptors:  Salinity, Phosphorus, Crop response, Salts, Salt tolerance.

A solution culture experiment was conducted with a short-season sesame to observe
interactive effects of osmotic potential, and P concentration on water relations,
mineral nutrition, and yield characteristics.  Salinity reduced yields linearly
with a  50% decrease in pod yield at an osmotic potential of approximately -2.7
bars.   Increasing P concentrations increased yields only at low salinity levels;
at higher salinity levels, yields decreased progressively as P increased.  Salt
tolerance was reduced by the higher P additions.


77:05B-029
SIMULATION OF NUTRIENT LOSSES FROM CROPLAND,
Tubbs,  L.J., and Haith, D.A.
Cornell University, Department of Agricultural Engineering, Riley-Robb Hall,
Ithaca, New York  14853.
Presented at the 1977 Winter Meeting of the American Society of Agricultural
Engineers, December 13-16, 1977, Chicago, Illinois, p  1-34.  17 fig, 14 tab,
34  ref, 38 equ.

Descriptors:  Model studies. Nitrogen, Phosphorus, Runoff, Hydrogen, Nutrients,
Infiltration, Simulation analysis.

A mathematical model has been developed to predict losses of nitrogen and phos-
phorus  in cropland runoff and percolation water.  The model is based on daily
hydrologic and monthly soil nutrient balances.  The model does not require cali-
bration and has been validated using data from monitored field plots.  Reasonable
predictions of annual losses are obtained for dissolved inorganic nitrogen in
runoff  and percolation and dissolved inorganic phosphorus in runoff.  Seasonal
variations are well predicted for nitrogen but not for phosphorus.


77:058-030
TILLAGE SYSTEM EFFECTS ON RUNOFF WATER QUALITY:  SEDIMENTS AND NUTRIENTS,
Johnson, H.P., Baker, J.L., Shrader, W.D., and Laflen, J.M.
Iowa State University, Department of Agricultural Engineering, Ames, Iowa  50011.
Presented at the 1977 Winter Meeting, American Society of Agricultural Engineers,
December 13-16, 1977, Palmer House Hotel, Chicago, Illinois, p  1-15.  2 fig, 3
tab, 9  ref.

Descriptors:  Corn, Nitrogen, Erosion, Soil erosion, Phosphorus, Soil conservation,
Water quality. Sediments, Nutrients.

Three tillage systems were utilized for growing corn on six paired small watersheds.
The tillage systems retained a range of residue cover on the soil varying from
about three to forty-five percent.  Most of the nitrogen losses were associated
with erosion.  Soluble phosphorus losses were greatest with conservation tillage.
Surface residue reduced markedly the soil losses.


77:058-031
A HAZARD OF SUBDIVIDING FARMLAND,
Whitlock, W.W., Jr.
Harford County Health Department, BelAir, Maryland.
Ground Water, Vol. 15,  No. 6, p 416-419, November-December, 1977.  2 fig, 4 ref.

Descriptors:  *Groundwater, *Water quality, *Nitrates, *Maryland, Wells, Water
wells.  Farms, Farm wastes, Land use, Urbanization, Suburban areas, Nitrogen,
Sampling, On-site data collections, Water chemistry. Hazards, Public health,
Pollutants,  Water pollution.

Changing land-use patterns are occurring in all areas of the United States,
especially those surrounding urban centers.  Previously farmed land is being
converted to residential subdivisions of 1/4 to 1/2 acre lots with on-site
water supply and sewage disposal systems (well and septic).  This in itself
can also cause hazards resulting from the original uses of the land that have
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not been anticipated.  This paper was  concerned with the high  nitrate  nitrogen
levels in groundwater resulting  from long-term farming.   Natural  chemicals  and
biological activity will break down  manure  to persistent nitrate  that  is  then
leached into the water table.  Subsequent subdivision of the land, well installa-
tion, and consumption of the contaminated groundwater constitute  a problem  that
has been recognized medically since  1945, but not by the drilling industry  or
environmental health personnel.  Regulations  of the Maryland State Department of
Health and Mental Hygience provide for a required series of bacteriological and
chemical samples prior to the water  supply  being  put into service.   To date,
the tests usually are conducted  after  occupancy,  if at all.  In Harford County,
Maryland, at least 4 subdivisions have been shown to have areas of excessive ni-
trate nitrogen  (up to -60 ppm) showing  the need for stringent enforcement  of
existing regulations.


77:05B-032
RETENTION AND LEACHING OF NUTRIENTS  IN A LIMED ULTISOL UNDER CROPPING,
Juo, A.S.R., and Ballaux, J.C.
International Institute of Tropical  Agriculture PMB 5320,  Ibadan, Nigeria.
Soil Science Society of America  Journal, Vol.  41,  No.  4,  p 757-761,  July-
August, 1977.   3 fig, 6 tab, 15  ref.

Descriptors:  Maize, Leaching, Nutrients, Greenhouses,  Soils,  Soil investigations,
Crop response,  Crop production.

The response of maize to liming  and  the retention and leaching of Ca and other
nutrient ions were studied in the greenhouse  using an acid Ultisol from southern
Nigeria.  The soil was limed to  various pH  levels and maize was grown  for 10
weeks.  The largest growth response  occurred  when the soil pH  was raised from 4.3
to 5.0 by liming (1.3 metric ton/ha).   The  highest yield was obtained when  the
soil pH was between 5.5 to 6.0.


77:053-033
PHYSICAL AND CHEMICAL PARAMETERS AFFECTING  TRANSPORT OF  CS IN  ARID WATERSHEDS,
McHenry, J.R.,  and Ritchie, J.C.
United States Department of Agriculture, Agricultural  Research Service, Sedi-
mentation Laboratory, Oxford, Mississippi.
Water Resources Research, Vol. 13, No.  6, p 923-927,  December  1977-  6 tab, 8 ref.

Descriptors:  Watersheds, Watershed  management. Soils,  Sediments, Sedimentation,
Nitrogen, Rainfall, Cation exchange.

The occurrence  and amount of fallout 137Cs  were determined in  12 watersheds in the
arid southwestern United States.  The  factors  believed to  influence  the distribu-
tion of 137Cs in the watershed soils and in the reservoir  sediments  were investi-
gated by using  stepwise regression techniques.  Seventeen  parameters, in the case
of soils, and 21 parameters, in  the  case of sediments, were used in  the study.
Ninety percent  of the variation  in the 137Cs  content of  soils, per unit weight,
could be predicted in terms of the percentage  of  soil  nitrogen, the  R factor
(rainfall intensity)  of the universal  soil  loss equation,  the  percentage of sand
in the soils, and the soil cation exchange  capacity.


77:05B-034
MOVEMENT OF THREE HERBICIDES IN A FINE SAND AQUIFER,
Schneider,- A.D., Wiese, A.F. , and Jones, O.R.
United States Department of Agriculture, Agricultural  Research Service, Bushland,
Texas  79012.
Agronomy Journal, Vol. 69, No. 3, p  432-436,  May-June,  1977-   8 fig,  1 tab, 9 ref.

Descriptors:  Groundwater,- Water pollution, Water quality, Herbicides, Aquifers,
Sampling, Hydrodynamics.

In order to determine movement of farm chemicals  that  might accidentally contami-
nate underground water supplies, low concentrations  of  three herbicides and NaN03
as a tracer were injected into a sand  aquifer  through  a  dual-purpose  well.
Herbicides used were picloram, atrazine, and  trifluralin.  Recharge  by injection
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continued for 10 days at an average rate of 81.8 cu m/hour.  After a 10-day
pause, the well was pumped for 12 days to determine if the herbicides and tracer
could be recovered.  Water samples were pumped from observation wells located
9, 20, and 45 m from the dual-purpose well.  Herbicides were detected in the 9-
and 20-m distant wells, but none of the herbicides or the tracer was detected
in the 45-ra distant well.


77:058-035
RESIDUAL NITRATE AND MINERALIZABLE SOIL NITROGEN IN RELATION TO NITROGEN UPTAKE
BY IRRIGATED SUGARBEETS,
Stanford, G., Carter, J.N., Westermann, D.T.,  and Meisinger, J.J.
Agricultural Environmental Quality Institute,  Beltsville, Maryland  20705.
Agronomy  Journal,  Vol.  69, No. 2, p  303-308, March-April, 1977.   4 fig,  6 tab.
12 ref.

Descriptors:  Sugar beets,  Idaho, Nitrogen, Fertilizers,  Fertilization,  Irrigation,
Soil  water,  Mineralization, Temperatures,  Soil moisture.

Previously reported  studies on N fertilization of sugarbeets in  southern Idaho
revealed  considerable  variation among  sites in amounts of residual soil N03 and
N mineralized  during short-term laboratory incubations.  Consequently,  the amount
of N  fertilizer needed to  achieve near-maximum yields of sucrose  differed markedly.
The purpose  of this  study  was to determine the feasibility of estimating amounts
of N  mineralized  in  the  root zone during the season, taking into  account site
variations in  temperature  and soil water regimes.  Residual soil  N03(-)-N and
mineralizable  N to approximate rooting depth were estimated for  21 field sites in
1971  and  six sites in  1972.  The relative  contributions of these  two N  sources to
total N  uptake by the  crop, in the absence of applied fertilizer  N, were then
assessed.


77:058-036
SEASONAL  ANHYDROUS AMMONIA COMPARISON  FOR  CORN WITH AND WITHOUT A NITRIFICATION
INHIBITOR,
Boswell,  F.C.
Georgia University,  Department of Agronomy, College of Agricultural Experiment
Stations, Georgia Station, Experiment, Georgia.
Agronomy  Journal,  Vol.  69, No. 1, p  103-106, January-February, 1977.  6 tab, 21
ref.

Descriptors:   Ammonia, Corn, Nitrification, Nitrogen, Crop production.  Leaching.

With  increased interest  in "off-season" N  application and emphasis on better
management of  N with respect to environmental pollution and economic considerations,
information  is needed  relative to seasonal anhydrous ammonia comparisons for corn
with  and  without  an  inhibitor.  Field  studies compared rates of N applied preplant
with  December  application  either with  or without the nitrification inhibitor, N-
SERVE, to corn on a  Coastal Plain soil.  The nitrification inhibitor did not affect
yield, number  of  ears, average ear weight, and percent N, P, K, Ca, and Mg in the
tissue or concentrations of various  other  elements in tissue sampled early in the
growing season, at early silking, or in corn grain.  Both low  (90 kg/ha) and high
(180  kg/ha)  N  levels increased yields  above check plots  (zero N)  when applied in
December  for the  three-year average  but both levels were significantly  less than
the high  N level  applied preplant.


77:058-037
QUALITY OF IRRIGATION WATER AND SURFACE RETURN FLOWS FROM SELECTED AGRICULTURAL
LANDS IN  NEVADA DURING THE 1974 IRRIGATION SEASON,
Miller, W.W.,  Guitjens, J.C., and Mahannah, C.N.
Nevada University, Max C.  Fleischmann  College of Agriculture, Reno, Nevada.
Journal of Environmental Quality, Vol. 6, No. 2, p 193-200, April-June,  1977.
6 fig, 3  tab,  26  ref.

Descriptors:   Return flow, Water quality,  Irrigation water, Nevada, Water quality
control,  Tailwater,  Phosphorus, Pollutants.
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Agriculture has been identified  as  a  major  contributor of pollutants  to surface
waters.  The purpose of this  investigation  was  to gain knowledge of pollutants
and pollutant loads carried in surface  return flows  to receiving waters.   Infor-
mation of this nature is needed  by  those  agencies having administrative responsi-
bility for water quality control.   Quantitative and  qualitative measurements  of
irrigation applications  (head water)  and  surface return flows  (tailwater)  were
conducted on four sites at three locations  in the Carson Valley area  of Nevada to
investigate the change in pollutant loads of surface waters  entering  the leaving
agricultural units.  Dissolved oxygen (DO), biochemical oxygen demand (BOD),  total
dissolved solids  (TDS), NO3(-)N,  P04(-)P, S04,  and turbidity were considered  as
major constituents of water quality.  Concentrations were combined with flow
volumes to compute the constituent  loading  per  irrigation and  net infiltrated
amounts or seasonal contributions in  the  surface return flow.   Phosphorus and
BOD were found to be the major agricultural pollutants contributed by irrigation
surface return flows.  New infiltrated  amounts  of TDS, N03(-)N, and other soluble
constituents were recorded.   Dissolved  oxygen concentrations in head  and tailwaters
were found to be  critically low.  River standards for DO might be better expressed
as a maximum permissible dissolved  oxygen deficit for water  at a given temperature
carrying a given  amount of BOD.   Additional investigations should be  undertaken to
delineate possible interactions  among pollutant constituents.   Water  quality  vari-
ations of individual samples  should be  expressed in  statistical terms so that
it is possible to identify pollutant  interdependences and to  establish an opti-
mized sampling frequency.


77:05B-038
A STEADY-STATE CONCEPTUAL NITROGEN  MODEL  FOR ESTIMATING NITROGEN EMISSIONS FROM
CROPPED LANDS,
Tanji, K.K., Fried, M.,  and Van  De  Pol, R.M.
Food and Agriculture Organization,  International Atomic Energy Agency,  Vienna,
Austria.
Journal of Environmental Quality, Vol.  6, No. 2, p 155-159,  April-June,  1977.
2 fig, 5 tab, 5 ref, 1 append, 40 equ.

Descriptors:  Nitrogen,  Model studies.  Leaching, Corn, Crop  production,  Fertilizers,
Fertilization.

Details of a conceptual  nitrogen model  are  presented.  The model is based upon the
principles of mass balance and steady state.  It considers both water and N flows
into and out of the crop root zone.  Illustrative computations are given for
estimating steady-state N leaching  losses from two cornfield sites and comparisons
are made with measured values.   This  model  may  be applied to other crops or cropping
practices.


77:058-039
LYSIMETER MEASUREMENTS OF NITRATE AND CHLORIDE  LOSSES FROM SOIL UNDER CONVENTIONAL
AND NO-TILLAGE CORN,
Tyler, D.D., and  Thomas, G.W.
Kentucky University, Lexington,  Kentucky  40506.
Journal of Environmental Quality, Vol.  6, No. 1, p 63-66, January-March,  1977.
6 fig, 15 ref.

Descriptors:  Lysimeters, Nitrates, Chlorides,  Corn, Soils,  Soil investigations,
Soil water movement, Leaching, Salts, Nitrogen, Mulching.

Salt and water movement was studied using steel pan  lysimeters in the field under
corn grown in killed sod and  with conventional  tillage.  The study was  done to
determine the actual leaching losses  of nitrogen under the two tillage systems.
Losses of nitrate nitrogen and chloride used as a tracer of  nitrate ion were
higher under the  no-tillage system  as measured  in the leachate collected^after
rainfall.  This loss could occur within 1 to 2  months after  the application^of_
the nitrogen.  Concentrations of nitrate  and chloride ions in  the leachate indi-
cated that these mobile, surface-applied  anions could be washed into  natural  soil
cracks and channels and  flow  much deeper  into the soil than  predicted by miscible
displacement theory.
                                          205

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77:05B-040
PREDICTING EFFECTS OF SULFURIC ACID ON QUALITIES OF IRRIGATION AND  DRAINAGE  WATERS
IN CALCAREOUS SOILS,
Miyamoto, S.
Texas A & M University Agricultural Research Center, 1380 A and M Circle,  El
Paso, Texas  79927.
Journal of Environmental Quality, Vol. 6, No. 1, p 12-18, January-March,  1977.
3  fig, 4 tab, 24 ref.

Descriptors:  Sulfuric acid, Calcareous soils, Irrigation water, Drainage  water,
Water quality, Simulation analysis, Model studies.

Considerable quantities of sulfuric acid are being utilized in the  southwestern
United States for soil and water treatment.  Future acid production may exceed
demand and thus require disposal in some manner.  Acid application or disposal
to soils and water raises a question concerning effects on water quality.  A numeri-
cal method is thus presented for predicting the effects of H2S04 on qualities of
irrigation and drainage waters, excluding trace elements, in calcareous systems.
The method is based on known relations between ion equilibria and the solubility
of calcite, magnesite, and gypsum.  Computed results are presented  for acid
applied to waters or to soils under several hypothesized conditions, and compared
with some reported laboratory or lysimeter data.  Results indicate:  (1) the
numerical method is a promising tool, but requires further experimental verifica-
tion;  (2) acid effects on water quality depend strongly on C02 partial pressure
and properties of soils and water, besides application rates; and (3) the  assumption
that acid application produces equivalent amounts of soluble salts is an over-
simplification .


77:058-041
FERTILIZER AND PESTICIDE MOVEMENT FROM CITRUS GROVES IN FLORIDA FLATWOOD SOILS,
Mansell, R.S., Calvert, D.V., Stewart, E.H., Wheeler,  W.B., and Rogers, J.S.
Florida University, Gainesville, Florida  32611.
Publication No. EPA-600/2-77-177, August 1977.  133 p, 73 fig, 35 tab, 53  ref.
1  append.

Descriptors:  Fertilizers, Fertilization, Pesticides,  Florida, Soil properties.
Irrigation water, Water quality, Soil management. Soil moisture. Soil water.

Concentrations and discharge amounts of N03-N, P04-P,  2, 4-D herbicide, terbacil
herbicide, and chlorobenzllate acaricide were determined in surface and subsurface
drainage waters from a citrus grove located in an acid, sandy flatwood soil  of
southern Florida.  The citrus grove received routine applications of fertilizer,
pesticide, and irrigation water as needed.


77:058-042
RELATIVE MOVEMENT OF BROMIDE AND NITRATE IN SOILS UNDER THREE IRRIGATION SYSTEMS,
Onken, A.B., Wendt, C.W., Hargrove, R.S., and WiIke, O.C.
Texas A & M University Agricultural Research and Extension Center, Lubbock,  Texas.
Soil Science Society of America Journal, Vol. 41, No.  1, p 50-52,  January-
February, 1977.   4 fig, 4 ref.

Descriptors:  Bromides, Nitrates,  Soils, Soil properties, Corn, Irrigation,  Irri-
gation practices. Irrigation effects.  Furrow irrigation, Sprinkler irrigation.
Surface irrigation, Anions,  Leaching,  Fertilizers, Irrigation water.

Bromide has desirable characteristics as an indicator of nitrate movement  in soils,
although it has not been tested under field conditions.  We studied its field
applicability by growing sweet corn on plots to which a mixture of sodium  nitrate
and sodium bromide were band applied.   Irrigation was  accomplished by either
furrow, sprinkler or subirrigation.  Nitrate and Br(-)  moved together in the
soil profile,  but the concentration of NO3(-)  and Br(-) were quantitatively
unrelated.   The lack of a quantitative relationship was probably due to (1)  N03(-)
-N was the sum of that already present, that from mineralization of organic  matter,
plus that applied while bromide came only from that applied, and (2) N03(-)-N
from all three of these sources and Br(-)  were removed from the soil at different
rates  by the growing crop.

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77:05B-043
FIELD MEASUREMENTS OP AMMONIA VOLATILIZATION FROM SURFACE  APPLICATIONS  OF AMMONIUM
SALTS TO A CALCAREOUS SOIL,
Hargrove, W.L., Kissel, D.E., and Fenn,  L.B.
Texas Agricultural Experiment Station, P.O.  Box 748,  Temple,  Texas   76501.
Agronomy Journal, Vol. 69, No.  3, p  473-476,  May-June,  1977.   1  fici   2  tab
16 ref.

Descriptors:  Ammonium, Ammonium salts,  Soils,  Soil  investigations,  Calcareous
soils, Nitrogen, Fertilizers, Fertilization.

Many laboratory experiments have been  conducted to study ammonia volatilization
from N fertilizers, but few experiments  have been conducted  under field condi-
tions.  The objective of this study  was  to  evaluate  ammonia  volatilization  in
the field from ammonium sulfate and  ammonium nitrate  applied to  the  surface of
a calcareous soil.  Houston Black Clay,  that belongs  to the  fine, montmorilloni-
tic, thermic family of Udic Pellusterts.  Volatilization was  evaluated  indirectly
by measuring N uptake by Coastal bermudagrass and directly by measuring ammonia
as it volatilized.  In the field plot  study,  estimated  losses ranged from 3 to
10% of the applied N for ammonium nitrate,  from 36 to 45%  of the applied N  for
pelleted ammonium sulfate, and  from  25 to 55% of the  applied N for liquid ammonium
sulfate at rates of 140 and 280 kg N/ha.


77:05B-044
THE WELLTON-MOHAWK:  WHERE NECESSITY IS  TEACHING THEM TO SAVE WATER,
Ross, R.
Irrigation Age, Vol. 11, No.  8, p 30, May-June,  1977.   1 fig.

Descriptors:  Water conservation, Irrigation effects, Salinity,  Saline  water,
Mexico.

In 1973, an agreement was signed between Mexico and  the United States that  could
have far reaching influences  on how  southwestern American  farmers irrigate.
Leaders of the two nations signed documents  which said  that  by a given  date,
the level of salts in the Colorado River, as it enters  Mexico, would be held  to
certain  "reasonable" limits.  Reaching those limits will require new irrigation
technology in the 64,000-acre Wellton-Mohawk Irrigation and  Drainage District,
east of Yuma, Arizona.  And what those farmers  learn, to satisfy the agreement,
could be applicable to many other arid areas within  the United States and world-
wide, as water and energy demands increase.


77:058-045
MASS BALANCE MONITORING OF LAND APPLICATION  SITES FOR WASTEWATER RESIDUALS,
Smith, J.L., McWhorter, D.B., Trout, T.J.
Colorado State University, Department of Agricultural and  Chemical Engineering,
Fort Collins, Colorado  80523.
Transactions of the American  Society of  Agricultural  Engineers,  Vol.  20, No. 2,
Paper No. 76-2065, p 309-312, March-April,  1977.   4  fig, 2 tab,  8 ref.

Descriptors:  *Waste water disposal, *Sludge disposal,  *Soils, Groundwater, Heavy
metals, Leachates, Leaching,  Groundwater movement, Soil amendments,  Wastes,
Sewage sludge, Water table, Water levels, On-site investigations, Soil  contami-
nation, Water pollution, Pollutants, Monitoring.

The soil can serve as a receiving medium and a  final  form  of  treatment  by removing
and decomposing various constituents in  the  sludge.   Land  application,  when
properly controlled, incorporates ultimate disposal with resource recovery.  This
paper proposed use of the mass balance concept  for predicting groundwater quality
and buildup of heavy metals in soils due to  application of wastewater sludges.
The concept is based on the principle of continuity of  mass  and  an idealization
of the flow system.  Data from the Boulder,  Colorado  municipal sludge applica-
tions site were used to illustrate practical  application of  the  concept.  Mass
balance reduces the lag time between application and  measurement^and uses_mea-
surement made prior to dilution of potential  contaminants.  A major  deficiency
in the concept is that, while it predicts a  buildup of  heavy  metals  in  the
soil, it does not indicate their availability to plants.   However, other research
                                         207

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has indicated that there is no cumulative effect of heavy metals and  that plant
uptake is not normally a problem in soils having near neutral pH.


77:05B-046
QUALITY ASPECTS OF AGRICULTURAL RUNOFF AND DRAINAGE,
The Task Committee on Agricultural Runoff and Drainage of the Water Quality
Committee of the Irrigation and Drainage Division.
American Society of Civil Engineers, New York, New York.
Journal of the Irrigation and Drainage Division, Vol. 103, No. IR4, p 475-495,
December 1977.  4 tab, 67 ref, 1 append.

Descriptors:  Agriculture, Drainage, Eutrophication, Pesticides, Nutrients,  Runoff,
Sedimentation, Water management (Applied),  Water pollution, Water quality.

In this report, the American Society of Civil Engineers Task Committee on  Agri-
cultural Runoff and Drainage has summarized the literature and research findings
with respect to sources of pollutants, nature of downstream impacts,  and  rela-
tionships between pollutant loads and certain physical variables.  Agricultural
discharges from nonirrigated lands are significant contributors of nitrogen,
phosphorus, and pesticides to downstream receiving waters.  State-of-the-art
knowledge indicates that management practices directed toward control of  erosion,
control of runoff, and management of fertilizer and pesticide application  can
reduce total pollutant load carried off-site from agricultural lands.  The
development of on-site discharge water quality control measures, as contemplated
under PI 92-500, must be predicated on detailed surveys of a more specific nature
due to the high degree of variability in the factors influencing water-borne
pollutant transport.


77:053-047
DIMENSIONLESS SOLUTIONS OF BORDER-IRRIGATION ADVANCE,
Katopodes, N.D., and Strelkoff, T.
California University, Department of Land,  Air and Water Resources, Water
Science and Engineering Section, Davis, California.
Journal of the Irrigation and Drainage Division, Vol. 103, No. IR4, p 401-417,
December 1977.  14 fig, 11 ref, 30 equ. 2 append.

Descriptors:  Computers, Hydraulics, Hydrodynamics, Irrigation engineering,
Mathematical models. Surface irrigation, Model studies.

The equations of border-irrigation flow are written in dimensionless  form  and
solved numerically at three different levels of mathematical approximation.  For
the advance phase three independent parameters exist:  the Froude number based
on normal depth, the dimensionless exponent of the Kostiakov infiltration  equation,
and a dimensionless parameter determining the deviation of flow conditions from
normal.  It is shown both by order of magnitude analysis and from the results
of the numerical computation that the inertia terms in the governing  equations
are unimportant for border flow (Froude number approximately zero).   The model
governed by the remaining two parameters,  the zero-inertia model, is  used  to
generate dimensionless advance trajectories and related information for all
practical combinations of these two parameters.  An additional advance trajectory
is computed for each value of the dimensionless infiltration exponent using the
normal-depth model to show the range of applicability of the latter.


77.-05B-048
SOLUBLE AND SEDIMENT NITROGEN LOSSES AS RELATED TO LAND USE AND TYPE  OF SOIL IN
EASTERN CANADA,
Neilsen, G.H., and MacKenzie, A.F.
Macdonald College, Ste. Anne de Bellevue,  Department of Renewable Resources,
Quebec, Canada.
Journal of Environmental Quality,  Vol. 6,  No. 3, p 318-321, July-September, 1977.
2 fig, 4 tab,  25 ref.

Descriptors:   *Agrlcultural runoff, *Nitrogen compounds, *Sediments,  *Runoff,
*Agricultural  watersheds,  Water quality. Leaching, Water pollution sources,
Nitrates,  Nutrients,  Pollutants, Water analysis, Water chemistry, Nitrites,
Nitrogen,  Analytical techniques, Canada, Soil analysis.
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In order to assess the amounts and types of  nitrogen  lost  in  agricultural drainage,
seven agricultural watersheds, with  a  range  of  land use patterns  and  types of
soil in southwestern Quebec and southeastern Ontario, were selected,  and measure-
ments of discharge rates, soluble inorganic  nitrogen, and  sediment Kjeldahl
nitrogen were made during 1974-75.   Correlations  of the losses with land use
and kind of soil were used to identify critical watershed  factors affecting
nitrogen loss.  Soluble inorganic N  concentrations in streams did not exceed
3.5 micrograms/ml.  No watershed lost  more than 5 kg/ha soluble N, except for
the watershed with the maximum corn  acreage  (33%), which lost 22.8 kg N/ha per
year.  The pronounced significance of  spring melt runoff was  demonstrated by
the movement of from 56 to 100% of annual soluble N from the  monitored watersheds
during March, April, and May.  Sediment was  a major transporter of N  in the
area, moving from 22 to 67% of total watershed  N.  Watersheds with greater corn
acreage and relatively impermeable soils lost more soluble N, while watersheds
with more organic soils and greater  cultivated  area lost more sediment N.


77:053-049
QUALITY OF WATER DISCHARGED FROM THREE SMALL AGRONOMIC WATERSHEDS IN  THE MAUMEE
RIVER BASIN,
Jones, L.A., Smeck, N.E., and Wilding, L.P.
Ohio Agricultural Research and Development Center, Wooster, Ohio  44691.
Journal of Environmental Quality, Vol. 6, No. 3,  p 296-302, July-September, 1977.
1 fig, 5 tab, 17 ref.

Descriptors:  *Sediments, *Lake Erie,  *Water pollution sources, *Water quality.-
*Agricultural runoff, *Soil analysis.  Geology,  Glacial drift, Analytical
techniques, Sediment transport, Particle size,  Water  pollution, Calcium, Magnesium,
Agricultural watersheds. Sodium, Po'tassium,  Soil  chemistry, Lakes, Ohio.

The  investigation was aimed at evaluating the quality of water and the charac-
teristics of sediments leaving three nearly  level watersheds  in the Lake Plain
sector of the Maumee River Basin during a 32-month period  as  a function of soils
comprising'the watersheds.  Each watershed consisted of a  soil of major extent
 (Paulding, Hoytville, or Millgrove)  developed from the three  most extensive geo-
logic deposits present in the basin:   lacustrine, glacial  till, and beach sand,
respectively.  The results indicated that water quality is a  function of soil
characteristics, discharge, and year.  The fine-textured Paulding watershed
yielded lower concentrations of calcium, magnesium, and bicarbonate ions than
the  other two watersheds, but higher concentrations of sodium, potassium, and
phosphorus.  High concentrations of  the latter  three  elements were attributed to
the  presence of septic tank effluent in the  drainage  ditch samples.   The Paulding
watershed also yielded the highest concentration  of sediment, which implies that
nearly level watersheds of the basin,  particularly fine-textured  watersheds, may
represent significant contributors of  sediment  entering the Maumee River.
Flocculation of clay minerals in the sediments  during fluvial transport resulted
in increasing particle size and changing mineralogy on moving downstream from
headwater areas.


77:05B-050
NITRATE-NITROGEN AND CHLORIDE MOVEMENT THROUGH  UNDISTURBED FIELD  SOIL,
Shuford, J.W., Fritton, D.D., and Baker, D.E.
Alabama A and M University, Normal,  Alabama.
Journal of Environmental Quality, Vol. 6, No. 3,  p 255-259, 1977.  1  fig, 7 tab,
10 ref.

Descriptors:  *Soil water movement,  *Dispersion,  *0n-site  tests,  *Pennsylvania,
*Nitrogen, Soil water, Nitrates, Chlorides,  Mixing, Percolation,  On-site
investigations, Movement, Irrigation,  Analytical  techniques,  Analysis, Sampling,
Ion  transport, Ions.

Results were presented from a field  study conducted to determine  whether large
pores represent a major pathway for  N03-N and Cl  movement  through undisturbed
soil.  A soil containing 410 ppm NO3-N and Cl as  KN03 and  KC1 was added to 3
experimental field plots enclosed by wooded  barriers  to  prevent runoff.   Initial
and  final soil samples were taken at various profile depths for ion analyses.
Most of the N03-N and Cl added in solution moved  vertically with  the  water
through the profile.  Ion movement was influenced by  large soil pores between
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structural units.  A fourth field plot was designed to compare field-measured
N03-N and Cl concentrations with theoretical calculations, using time-dependent
water flow velocity and dispersion equations.  Soil solution samples were  taken
for ion analyses.  Due to the incomplete mixing of water and ions with all  soil
pores, theoretical equations did not completely explain the field-measured  N03-N
and Cl distribution.


77:058-051
EFFECT OF SUSPENDED PARTICLES AND THEIR SIZES ON NITRIFICATION IN SURFACE WATER,
Kholdebarin, B., and Oertli, J.J.
Pahlavi University, Shiraz, Iran.
Journal Water Pollution Control Federation, Vol. 49, No. 7 p. 1693-1697, July
1977.  2 fig, 10 ref.

Descriptors:  *Nitrification, California, *0xidation, *Surface waters, *Particle
size, Ammonium compounds,  Suspended particles.

Results of studies with water samples from the Whitewater River in Southern
California clearly indicate the importance of the presence of suspended parti-
culates and of particle size in nitrifying bacteria in surface water.  While
organisms can function well in media lacking measurable suspended solid materials,
their activities will be enhanced as the amount of particulates increases in
the solutions; the stimulating effect of particles is largely caused by their
acting as a physical support for the proliferation of the nitrifying bacteria,
rather than as base exchange sites for the substrates used in nitrification
processes.  Also, it appears particles as large or larger than the organism
are most efficient in stimulating the nitrification process,  contradicting  findings
of earlier studies which concludes that particles with diameters in excess of
0.7 microns are not essential for rapid biological nitrification in aquatic
systems.


77:05B-052
A MODEL FOR THE TRANSPORT OF PESTICIDES IN SOIL WITH DIFFUSION-CONTROLLED RATES OF
ADSORPTION AND DESORPTION,
Leistra, M.
Laboratory for Research on Insecticides, Marijkeweg 22, Wageningen, The
Netherlands.
Agriculture and Environment, Vol. 3, No. 4, p 325-335, October 1977.  5 fig, 1 tab,
13 ref.

Descriptors:  Adsorption, Model studies, Soils, Soil investigations. Rainfall,
Simulation analysis. Pesticides.

The downward movement of a pesticide in soil, caused by different rainfall patterns,
was simulated in a computation model.  The movement occurred in the mobile region
of a hypothetical soil system by convection together with hydrodynamic dispersion,
and by diffusion.  Lateral transport took place by diffusion into and out of a
soil region with a stagnant liquid phase.  With 40 mm of rainfall in 2 days,
lateral diffusion distances of a few mm or more caused substantial deviation from
the concentration—depth relationship for equilibrium adsorption.  With 40 mm of
rainfall scattered over 20 days, lateral diffusion distances up to a few mm had
little effect, but those of about 10 mm or more had a very strong influence.  The
initial condition near the soil surface was extemely important.  When the pesti-
cide was initially present in the mobile region, overall mobility was comparatively
great.  Mobility was found to be much lower than with instantaneous adsorption
and desorption,  when the initial condition was equilibrium between the mobile
and stagnant regions near the soil surface.


77:05B-053
A LABORATORY STUDY ON THE ROLE OF STREAM SEDIMENT IN NITROGEN LOSS FROM WATER,
Sain,  P.,  Robinson, J.B., Stammers,  W.N., Kaushik, N.K., and Whiteley, H.R.
National Research Council of Canada, Department of Environmental Biology,
University of Guelph,  Guelph,  Ontario,  Canada.
Journal of Environmental Quality, Vol.  6, No. 3, p 274-278, July-September, 1977.
4  fig,  4 tab,  14 ref.
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Descriptors:  Laboratory tests. Sediments, Sedimentation, Nitrogen, Nitrates
Denitrification, Temperature, Water quality,  Streams.                        '

Laboratory experiments were conducted on samples of  sediment  collected from a
stream having an appreciable input of nitrate at its  source.  Earlier work had
shown that the water lost much of the nitrate as it  moved downstream, presumably
by denitrification.  Columns of sediment were reconstituted in plexiglass tubes,
overlain with water containing nitrate, and  incubated at 10,  15, or 22C.  The
water was aerated with a helium-oxygen mixture.  Nitrate concentration decreased
rapidly but the rate varied with temperature and depth of sediment.  At 22C, in
water overlying 10-cm columns of sediment, over 90%  of the nitrate was removed
in three weeks from a solution originally containing 10 mg/liter nitrate-N.
Nitrate disappeared less rapidly at lower temperatures and when sediment columns
were less than 5 cm deep.  It was concluded  that in  columns less than 5 cm deep
and at low temperatures nitrate diffused to  the bottom of the columns, while
columns 5 cm deep or more were effectively of infinite depth.  Because of the
interdependence of diffusion from the liquid phase into the sediment and deni-
trification, it is not possible to infer kinetics of denitrification in these
experiments.  It appeared that denitrification in these columns proceeded at
a rate compatible with observations made previously  in the stream from which
the sediment originated.


77:05B^054
PARTITIONING AND TRANSPORT OF LEAD IN LAKE WASHINGTON,
Baier, R.W., and Healy, M.L.
Duke University, Department of Chemistry, Marine Laboratory,  Beaufort, North
Carolina  28516.
Journal of Environmental Quality, Vol. 6, No.  3, p 291-296, July-September,
1977.  9 fig, 3 tab, 13 ref.

Descriptors:  Lead, Runoff, Sediments, Sedimentation,  Model studies, Adsorption,
Absorption, Limnology.

Input of lead to Lake Washington appears to  result from the settling of airborne
Pb onto surface waters and the washing of terrestrial accumulations to the lake
as runoff.  Some of the Pb received by the lake is associated with particles
that sink, while the remainder leaves the lake with  the overflow.  The range in
Pb concentration during two years of sampling was 0.04 to 6.6 ppb.  The path
of Pb to the sediments is not direct but involves cycling through both liquid
and solid phases.  Over 70% of the total Pb  entering  the lake is retained by
sediment.  Lead in top layers of sediment ranged from 242- ppm near a heavily
used bridge to 4 ppm near the major tributary of the  lake.  A simple compartment
model accounts for some of the interchanges  between  dissolved and particulate
forms of Pb through the processes of adsorption, absorption,  and complexation.
The time required to achieve steady-state conditions  for the  model is comparable
to the yearly flushing period.  Large shifts in the  annual timing of flushing
and mixing are encountered because of meteorological  changes.


77:05B-055
NITRATE DISTRIBUTION AND VARIABILITY IN IRRIGATED FIELDS OF NORTHEASTERN COLORADO,
Ludwick, A.E., Soltanpour, P.N., and Reuss,  J.O.
Colorado State University, Department of Agronomy, Fort Collins, Colorado  80523.
Agronomy Journal, Vol. 6, No. 4, p 710-713,  July-August, 1977.  1 fig, 6 tab,
16 ref.

Descriptors:  Nitrates, Irrigation, Irrigation effects, Colorado, Fertilizers,
Fertilization,  Nitrogen, Nutrients, Soil profiles, Sampling.

Fertilizer N recommendations in the Great Plains and  Western  United States are
commonly based on soil NO3- tests, although  N03- content within soil profiles^
is subject to rapid change.  The purpose of  this study was to evaluate N03- distri-
bution within diverse soil profiles and determine NO3- changes occurring over
winter.  Twenty-six irrigated farm fields were systematically sampled in 1974 and
1975 by dividing them into 61 x 61 m grids (0.37 ha)   and sampling to a 120-cm
depth by 30-cm increments.  Eleven fields were resampled for  fall versus spring
comparisons.  Nitrate content tended to be greatest in the surface 30-cm and
decrease with depth;  only three fields deviated markedly from the general pattern.
                                         211

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77:05B-056
UPTAKE BY BARLEY OF WATER TABLE-OR SURFACE-APPLIED CADMIUM,
Kirkham, M.B.
Oklahoma State University,  Department of Agronomy, Stillwater,  Oklahoma.
Soil Science Society of America Journal, Vol.  41,  No.  6,  p 1125-1129,
November-December,  1977.  3 fig, 3 tab,  19 ref.

Descriptors:  *Cadmium, *Absorption,  *Barley,  Laboratory  tests, Soil contamination,
Plant physiology, Water pollution, Pollutants, Path of pollutants,  Groundwater,
Leaching, Leachate, Effluents,  Drainage, Water table,  Soil science, Cadmium uptake.

Solution of Cd were placed for  66 days at the  bottom or top of  columns (42-cm
long by 15-cm diam) containing  find sandy loam soil,  half of which  were planted
with barley and half of which were bare, to determine  rate of movement upward
or downward of Cd.   Three solutions with Cd, as  CdS04, were used:   distilled
water with 0.1 microgram/ml Cd; distilled water  with 10 microgram/ml Cd;
secondary effluent with 10 microgram/ml  Cd. An  average of 200  ml/day was added
to the top or bottom of columns with plants; there was not drainage water with
top additions.  An average of 100 or 50  ml/day was added  to the top or bottom,
respectively,  of columns without plants.  Drainage water,  which collected at the
bottom of columns without plants and watered from  the  top,  was  analyzed daily
for Cd.  Plants and soil were analyzed weekly  for  Cd concentration.  In less than
seven days, Cd applied at the surface moved to the bottom and Cd applied at the
bottom moved to the surface.  At harvest,  plants treated  with Cd at the bottom
contained up to three times more Cd than plants  treated with Cd at  the top
because roots of plants with Cd at the bottom  contained higher  concentrations
of Cd than roots of plants in columns with Cd  at the top.   Columns  without
roots had higher concentrations of extractable Cd  than columns  with roots.
Concentrations of Cd in leachate from columns  receiving 10  microgram Cd/ml
effluent were about two times higher than concentrations  of Cd  in leachate from
columns receiving 10 microgram  Cd/ml water. The results  showed that barley
roots more readily absorbed Cd  placed in a shallow water  table  than Cd placed
in the soil surface.
                                        212

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                                     SECTION XX


                       WATER QUALITY MANAGEMENT AND PROTECTION

                           EFFECTS OF POLLUTION  (GROUP  05C)


77:05C-001
QUALITY OF WATER FOR IRRIGATION,
Ayers, R.S.
California University, Department of Water  Science and  Engineering, Davis,
California.
Journal of the Irrigation and Drainage Division, American Society of Civil
Engineers, Vol. 103, No. IR2, p 135-154, June  1977.   5  tab,  13 ref.

Descriptors:  Water quality, Salinity, Irrigation, Irrigation effects, Crop
production. Agriculture, Leaching, Electrical  conductance.

Water quality means different things to different people.  Quality usually denotes
"suitability" for use and is difficult to evaluate except in terms related to its
specific use.  For irrigation, water suitability is related  to its effect on soils
and crops, and on the management that may be necessary  to control or compensate
for a water quality related problem.


77:05C-002
IRRIGATION WATER QUALITY EVALUATION,
Christiansen, J.E., Olsen, E.G., and Willardson, L.S.
Utah State University, Department of Agricultural and Irrigation Engineering,
Logan, Utah.
Journal of the Irrigation and Drainage Division, American Society of Civil
Engineers, Vol. 103, No. IR2, p 155-169, June  1977.   4  fig,  6 tab, 22 ref.

Descriptors:  Water quality.- Irrigation, Irrigation water. Salinity, Saline water,
Electrical conductance, Crop production, Irrigation practices.

Irrigation water quality is very seldom adequately defined.  The term is sometimes
used to mean only the salinity expressed as total dissolved  solids, TDS, in
milligrams per liter or the equivalent, parts  per million.   The TDS is determined
by evaporating a given volume of water and weighing the residue.  Most often the
salinity is determined by measuring the electrical conductivity, EC (or specific
conductance as it sometimes is called), and reporting it in millimhos per centi-
meter at 25 degrees C or in micromhos per centimeter.   Such  determinations of
irrigation water quality are useful but are too limited in scope to be completely
satisfactory for making dependable decisions on the usefulness of a particular
water for irrigation.


77:05C-003
THE PHOSPHORUS STATUS OF EUTROPHIC LAKE SEDIMENTS AS  RELATED TO CHANGES IN LIMNOLO
GICAL CONDITIONS—PHOSPHORUS MINERAL COMPONENTS,
Wildung, R.E., Schmidt, R.L., and Routson,  R.C.
Battelle,  Pacific Northwest Laboratory, Richland, Washington  99352.
Journal of Environmental Quality, Vol. 6, No.  1, p 100-104, January-March, 1977.
1 fig, 3 tab, 21 ref.

Descriptors:  Phosphorus,  Limnology, Sediments, Sedimentation, Eutrophication,
Water quality.

Studies of the relationship between limnological factors and changes in the P
status of  noncalcareous sediments of a eutrophic lake previously indicated that_
changes in sediment inorganic P were directly  related to the biological producti-
vity of the surface waters.   This relationship was particularly pronounced in a
shallow bay where sediment P decreased with lake phytoplankton growth and


                                         213

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increased with their decline.  The present studies were undertaken to  identify
the inorganic P components responsible for these changes using chemical
techniques for characterization of P in sediments where changes occurred.


77:050004
STERILITY IN RICE CULTIVARS AS INFLUENCED BY MSMA RATE AND WATER MANAGEMENT,
Wells, B.R., and Gilmour, J.T.
University of Arkansas, Department of Agronomy, Fayetteville, Arkansas  72701.
Agronomy Journal, Vol. 69, No. 3, p 451-454, May-June, 1977.  3 tab, 16 ref.

Descriptors:  Rice, Crop production, Arkansas, Cotton, Soils, Soil investigations,
Soil water, Saturated soils.

In recent years an expansion of rice acreage in Arkansas has resulted in rice
being produced on soils with a history of cotton production.  Most of these
cotton soils have had repeated applications of monosodium methanearsonate  (MSMA)
as a herbicide.  There is some evidence that arsenical residues in the soil
can lead to sterility in rice.  In an effort to answer this question, a field
experiment was conducted on a Crowley silt loam soil in 1975 to evaluate the
influence of MSMA on plant growth and yield of rice.


77:05C-005
EFFECTS OF IRRIGATION METHODS ON GROUNDWATER POLLUTION BY NITRATES AND OTHER
SOLUTES,
Wendt, C.W., Onken, A.B., Wilke, O.C., and Lacewell, R.D.
Texas Agricultural Experiment Station, Route 3, Lubbock, Texas  79401.
Publication No. EPA-600/2-76-291, December 1976.  330 p, 197 fig, 46 tab, 23 ref.

Descriptors:  Irrigation, Fertilizers, Nitrogen, Isotopes,  Water pollution, Soil
water.

Sprinkler irrigation, furrow irrigation,  subirrigation, automated subirrigation,
criteria for applying irrigation water, methods of applying fertilizer and sources
of fertilizer were investigated as to their potential to decrease possible pollution
from nitrate and other solutes in a loamy fine sand soil overlying a shallow
aquifer in Knox County, Texas.  Less nitrate-nitrogen was available for leaching
in subirrigation systems than furrow and sprinkler systems.  Less, irrigation water
was applied with automated subirrigation systems than with  the other irrigation
systems.  However, crop water requirement was not significantly changed—the soil
water was more efficiently used.  Fertilizer remained in the root zone if the
water applied was based on potential evapotranspiration and leaf area regardless
of the irrigation system or the criteria used to apply the  irrigation water.
Banded fertilizers moved differently in the different irrigation systems.  Sub-
irrigation has the possibility of having irrigation return  flow with lower con-
centrations of other solutes than sprinkler or furrow systems.  Banding fertilizer
in the bed was superior to banding below the level of the water, furrow and
applications in the irrigation water relative to quality of irrigation return
flow.  No other source of nitrogen fertilizer was indicated to be superior.
Current fertilization practices are not causing major increases in the nitrate-
nitrogen level in the aquifer.
                                        214

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                                   SECTION XXI



                     WATER QUALITY MANAGEMENT AND PROTECTION

                      WASTE TREATMENT PROCESSES  (GROUP 05D)


77:050-001
RECYCLING  AGRICULTURAL RUNOFF,
Walker,  P.N., and Lembke, W.D.
Illinois University, Department of Agricultural Engineering, Urbana-champalgn,
Illinois.
Available from the National Technical Information Service, Springfield, Virginia,
22161 as PB-264 578, Illinois Water Resources Center, Urbana, Illinois, Research
Report No. 119, January 1977, 88 p. 11 fig, 6 tab, 72 ref.

Descriptors:  Irrigation, *Water reuse,  "Impervious soils, "Illinois, *Recycling,
*Agricultural runoff, Farm ponds, Computer models, Clays, Crop production,
Drainage, Costs, Economics.

The recycling agricultural runoff concept is the storage of excess water from
agricultural land and using this water for irrigation of the same land when
moisture supplies are low.  Coincidentally, the system also recycles pesticides
and nutrients, keeping them out of other parts of the environment.  The claypan
soils of Illinois appear to be best suited for water recycling when surface storage
is used.  Sandy soils are best suited to  interstitial water storage.  A review
and analysis of literature on irrigation, drainage, reservoirs, pesticides,.and.
nutrients, as it pertains to a recycling  system is presented.  Nutrient and pesti-
cide recycling result in negligible cost or benefits to agricultural crops.  There
was insufficient information to determine the economic benefit to the environment
of this recycling.  A model was developed relating irrigation and drainage to crop
yield using intermediate variables of soil moisture and air temperature.  The model
predicted that an acre-ft. of storage would be required per acre of irrigated
watershed.  The model was not successful  at predicting the increase in yield re-
sulting from irrigation and/or drainage.  An example economic analysis reveals
that under present conditions recycling agricultural runoff is not economically
justifiable as a general practice in the claypan region of Illinois,


77:050-002
FACTORS AFFECTING NITRIFICATION,
Hockenbury, M.R., Daigger, G.T., and Grady, C.P.L., Jr.
Engineering-Science, Incorporated, Atlantic, Georgia,
Journal of the Environmental Engineering Division^ASCE, Vol. 103, No. EE1, p 9^19,
February 1977.  1 fig, 3 tab, 13 ref.

Descriptors:  *Nitrification, *Bacteria,  *0rganic matter, *Activated sludge,
Domestic wastes, Industrial wastes, Dissolved oxygen, Growth rates, Aeration, Hydro-
gen ion concentration, Waste water treatment.


Laboratory studies were conducted to investigate factors which affect nitrification.
These included the effect of heterotrophic bacteria and organic compounds on nitri-
fying bacteria, and the possible adverse effects created by material released in
waste water during treatment in a plug flow activated sludge aeration basin.  Results
indicated no effects by actively metabolizing heterotrophic bacteria upon nitrate
production by autotrophic nitrifiers.  Domestic sewage did not affect nitrate pro-
duction by nitrifying bacteria when inhibitory industrial wastes were absent.  No
adverse effects from treatment in plug flow activated sludge aeration basins were
found when suitable pH and dissolved oxygen levels were maintained for autotrophic
nitrifiers.  Heterotrophic bacteria released growth factors which slightly stimulated
autotrophic nitrifer activity.  Many inhibitory compounds in tested sewage were
apparently degraded within the first half-hour of activated sludge treatment,



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77:050-003
GOAL PROGRAMMING MODEL FOR WATER QUALITY PLANNING,
Bishop, A.B., Narayanan, R. ,  Grenney, W.J., and Pugner, P.E.
Utah State University, Department of Civil and Environmental Engineering,
Logan, Utah.
Journal of the Environmental  Engineering Division, Proceedings of the American
Society of Civil Engineers, Vol. 103, No, EE2, Proceedings Paper No. 12883,
p 293-306, April 1977.  4 fig, 7 tab, 9 ref.

Descriptors:  *Waste water treatment, *Water  quality control, *Multiple purpose,
*River basins, *Planning, Management, Optimization, Streams, Standards, Regions,
Costs, Mathematical models, Equations, Systems analysis.

The broad goals of the Federal Water Pollution Control Act Amendments  (PL 92-500}
and the regional nature of water quality plans require that multiple objectives
be considered in planning.  Goal programming  is an extension of linear or integer
programming where the objective is to minimize the deviations from a set of goals,
subject to systems constraints.  A goal programming model is applied to an example
river basin system where the  planning goals are the quality levels of four consti-
tuents required or three desired beneficial water uses in five stream reaches, and
the budget availability in four municipal regions for financing wastewater treat-
ment.  The model solution indicates the combination of treatment levels and costs
that minimizes deviations from user quality and budgetary goals for all stream
reaches.  Values of deviation variables in the solution indicate the water quality
levels achieved.  A comparison with the minimum cost solution for meeting stream
standards identifies the costs and tradeoffs  of achieving higher user quality goals.


77:050-004
PHOSPHATE REMOVAL BY SANDS AND SOILS,
Tofflemire, T.J., and Chen, M.
New York State Department of Environmental Conservation, Research Unit, Albanyf New
York.
Ground Water, Vol. 15, No, 5, p 377-387, September-October, 1977.  6 fig, 13 tab,
31 ref.

Descriptors:  *Unsaturated flow, *Laboratory  tests, *Waste water disposal, *Recharge,
*Phosphates, Filtration, Soil characteristics, Infiltration, Soil profiles, Soils,
Sands, Waste disposal, Water quality, Filters, Soil filters, Adsorption,. Analytical
techniques.

Phosphate retention by soils  is especially important for tile fields and rapid
infiltration systems near lakes where eutrophication is a problem.  The use and
application of the phosphate adsorption isotherm test is estimate a soil's phos-
phate removal ability was discussed.  It was  found that in New York State, the
till soils had a greater phosphate retention  ability than the outwashes, the more
acid soils had a greater phosphate retention  than the more basic or calcareous soils.
The B horizon of many of the soils had a high phosphate capacity.  However, this
is often neglected in rapid infiltration systems because the waste water is dis-
charged below the B horizon.   The phosphate removal in column studies and field
studies in rapid infiltration systems was found to be greater than predicted by
the rapid isotherm test.  Instermitten sand filters with 2 ft sand and underdrains
were found to have a limited  ability to remove phosphate,  A substantial portion of
slowly fixed phosphate is non-leachable by rain water.  Methods to predict and design
for phosphate retention by sands and soils were described,


77:050-005
ATTENUATION OF WASTE WATER ELUTRIATED THROUGH GLACIAL OUTWASHf
Fetter, C.W., Jr.
Wisconsin University, Department of Geology,  Oshkosh, Wisconsin,
Ground Water, Vol. 15, No. 5, p 365-371, September-October, 1977,  3 fig, 3 tab,
20 ref.

Descriptors:  *Waste water treatment, *Tertiary treatment, *Laboratory tests,
*Glacial drift, Soil filters, Adsorption, Surfaces, Heavy metals, Ion exchange,
Recharge, Cadmium, Lead, Ammonia, Nitrification, Phosphorus.
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Secondarily treated waste water was added  to  plastic  columns  filled with  calcareous
glacial outwash soil for a period of  10 weeks.  More  than  99% of  the  phosphorus
was retained in the upper 50 cm of the soil,  primarily due to adsorption.  Ammonia
nitrite, and organic nitrogen were nitrified  biologically  to  nitrate  nitrogen   There
was no measurable mercury in the column effluent,  and it was  present  in only 2 samples
of the waste water.  About 30% of the cadmium was  removed  by  ion  exchange  in the
soil columns.  Lead was not removed,  probably due  to  the prior exhaustion  of the  lead
exchange sites.


77:050-006
PHOSPHATE REMOVAL USING WASTE CALCIUM SULFATE,
Theis, T.L., and Fromm, G.A.
Notre Dame University, Department of  Civil Engineering, Notre Dame, Indiana.
Journal of the Environmental Engineering Division,  Vol. 103,  No.  335,  p 951-955,
4 fig, 8 ref, 1 append.

Descriptors:  Phosphates, Calcium, Water pollution, Water  quality, Water  quality
control, Waste water, Waste water treatment.

Calcium sulfate  (gypsum) is a common  and inexpensive  mineral  which is  among the
cheapest sources of soluble calcium ion available.  Relatively pure calcium sulfate
is produced  as a byproduct in several industries including chemical,  pharmaceutical
 (2), and, in the near future, it will also be produced by  high sulfur  coal-fired
utilities which must remove stack gas SO2 . Thus,  on  a local  basis it may  be ob-
tained at a  markedly reduced cost, transportation  being a  major cost  factor.  This
study was undertaken to explore the possibility of employing  gypsum as a  supplemental
chemical for the removal of phosphate from wastewaters, and to determine  under what
conditions it can be utilized in this manner.


77:05D-007
SALT REMOVAL EFFICIENCIES ON LAND DISPOSAL OF SWINE WASTE,
Grier, H.E., Gupta, G.C., and Tiwari, S.C,
Alcorn State University, Department of Animal Science, Lorman, Mississippi.
Journal of the Environmental Engineering Division,  Vol. 103,  No.  EE4,  p 551-556,
August 1977.  2  fig, 1 tab, 11 ref, 1 append.

Descriptors:  Ammonia, Nitrates, Nutrients, Suspended solids, Waste disposal,
Waste water  treatment. Effluents.

bwine waste  aerobic lagoon effluent was sprinkled  overland and the runoff  water
was collected.  Both the waste effluent and the runoff water  were analyzed for
nitrate, ammonia, chloride, suspended solids, BOD,,  and specific conductance.  Re^
moval efficiency of nitrate dropped from 624  to 32% on prolonged  disposal  of swine
waste effluent,  in six months.  Data  for suspended solids  and specific conductance
support these results for, nitrate removal  efficiency.  Removal efficiencies for
ammonia and  chloride were higher and  showed a very small decrease with time,  BOD
removal efficiency was 95% throughout the  six-month period of the study.   The
system showed signs of "overloading"  for nitrate removal but  not  for  BOD  removal.


77:050-008
NITROGEN TRANSFORMATIONS IN LAND TREATMENT,
DiGiano, F.A., and Su, Y-S.
Massachusetts University, Department  of Civil Engineering, Amherst, Massachusetts.
Journal of the Environmental Engineering Division,  Vol. 103,  No,  EE6,  p 1075-1087,
December 1977.   4  fig, 1 tab, 21 ref, 21 equ, 2 append.

Descriptors:  Algae, Biological treatment, Lagoons, Land_reclamation,  Model studies,
Nitrogen, Sewage treatment, Waste disposal, Water  pollution.

The storage  lagoon of a land treatment  system functions as a  dynamic  biological
reactor in which algae and bacteria can transform  input nitrogen. A  quantitative
estimate of  these nitrogen transformations is needed  for proper design of  the spray
irrigation component of land treatment.  In this study, a  simulation  model was _
developed to predict the concentrations of inorganic  and organic  nitrogen and algae
in the lagoon throughout the winter storage and irrigation months; pilot  plant data
                                          217

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were used for verification.  Both the predicted and observed results  indicated
a large reduction in inorganic nitrogen caused by algal uptake during most  of the
irrigation period.  The model was then applied to achieve a better balance  between
nitrogen supplied by the lagoon and crop demand throughout the growing  season.


77:050-009
GROUND WATER POLLUTIONS.  PART 2.  POLLUTION FROM IRRIGATION AND FERTILIZATION,
CITATIONS FROM THE NATIONAL TECHNICAL INFORMATION SERVICE DATA BASE,
Lehmann, E.I.
National Technical Information Service, 5285 Port Royal Road, Springfield,
Virginia  22161.
National Technical Information Service, United States Department of Commerce,
NTIS/PS-76-0750, NTIS/PS-75/740, and NTIS/PS-75/072, February 1977, p 1-240.

Descriptors:  Groundwater,  Pollutants, Fertilization, Irrigation effects, Waste
water  (pollution), Solid wastes, Nitrates, Phosphates, Abatement,. Water pollution,
Irrigation, Water conservation.


This bibliography contains  abstracts of Federally-funded research covering all
aspects of groundwate'r pollution from irrigation and fertilization.  The reports
include topics dealing with the pollution from sewage and waste water irrigation,
land spreading of sludges and solid wastes, nitrate and phosphate accumulation
in soils, pollution control and abatement planning, salt build-up from irrigation,
the use of tile drains in groundwater pollution control, and groundwater recharge
studies.   (This updated bibliography contains 240 abstracts, 18 of which are new
entries to the previous edition,}
                                       218

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                                    SECTION XXII


                     WATER QUALITY MANAGEMENT AND PROTECTION

                     ULTIMATE DISPOSAL OF WASTES  (GROUP 05E)


77:05E-001
STORAGE OF TREATED SEWAGE EFFLUENT AND STORM WATER IN A SALINE AQUIFER, PINELLAS
PENINSULA, FLORIDA.
Rosensheim, J.S., and Hickey, J,J.
Geological Survey, Water Resources Division, Tampa, Florida,
Ground Water, Vol. 15, No, 4, p 284-293, July-August, 1977.  5 fig, 3 tab, 11 ref.

Descriptors:  *Waste disposal, *Injection wells, *Waste water disposal, Underground
storage, *Effluents, Saline water, Aquifers, Test wells, Aquifer characteristics,
Water quality control.

The Pinellas Peninsula, an area of 750 square kilometers  (.290 square miles) in
coastal west-central Florida, is a small hydrogeologic replica of Florida.  Most
of the Peninsula's water supply is imported from well fields as much as 65 kilometers
(40 miles) inland.  Stresses on the hydrologic environment of the Peninsula and
on adjacent water bodies resulting from intensive water-resources development and
waste discharge, have resulted in marked interest in subsurface storage of waste
water  (treated effluent and untreated storm water) and in future retrieval of the
stored water for nonpotable use.  If subsurface storage is approved by regulatory
agencies, as much as 70 million gallons a day of waste water could be stored under-
ground within a few years, and more than 150 million gallons a day could be stored
in about 25 years.  This storage would constitute a large resource of nearly
freshwater in the saline aquifers underlying about 520 square kilometers (200
square miles) of the Peninsula.


77:05E-002
SERVO CONTROLLED OPTIMIZATION OF NITRIFICATION-DENITRIFICATION OF WASTE WATER IN
SOIL,
Enfield, C.G.
Robert S. Kerr Environmental Research Lab, Ada, Oklahoma.
Journal of Environmental Quality, Vol. 6, No. 4, p 456-458,, October ^December, 1977.
5 fig, 1 tab, 9 ref.

Descriptors:  *Infiltration, *Nitrification, *Denitrification, *Sewage treatment,
*Municipal wastes. Chemical reactions, Sludge, Soil amendments, Treatment facilities.
Electrical properties, Waste water disposal, Waste water treatment.

Studies were conducted to develop a servo control system which adjusts the rate of
waste water application to land to ensure nitrification-denitrification.  Operation
of the control system is based on, the potentials of five platinum electrodes used
in conjunction with a Calomel reference electrode.  A servo controller was used to
regulate application of municipal trickling filter final effluent to four gravelly
loam soil columns.  The controller adjusted the frequency of waste water application
with respect to the Pt electrode potential 6 cm under the soil surface.  The duration
of each application was regulated according to a target potential measured 30 cm
beneath the surface, optimizing denitrification.  Three soil columns received 7,5
metric tons  (carbon) of digested municipal sludge/ha in the upper 30 cm of the pro-
file.  Waste water application was continuously allowed by the servo controller for
the column that contained no sludge.  Essentially all 'total Kjeldahl nitrogen-
nitrogen was converted to nitrate-nitrogen in the upper 3 cm of this column.  About
45% of the dissolved nitrogen disappeared in this column.  Addition of sludge in-
creased apparent dentrification, so that total nitrogen removal exceeded 90«,
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                                SECTION  XXVII


                    WATER QUALITY  MANAGEMENT AND PROTECTION

                       WATER QUALITY CONTROL (GROUP O5G)


77:05G-001
EFFECT OF LEACHING FRACTION ON RIVER SALINITY,
Suarez, D.L.,  and Rhoades, J,D.
Agricultural Research Service, Salinity  Laboratory, Riverside,  California.
Journal of the Irrigation and Drainage Division, American Society of Civil
Engineers, Vol.  103, No.  IR2, Proceedings Paper 13017,  p 245-257, June 1977.
7 tab, 9 ref,  2  append.

Descriptors:  *Drainage water, *Leaching, Irrigation engineering, *Salinity,
Management, Soil chemical properties, Calcium  carbonate,  Porosity, Rivers,
Water quality. Return flow, Drainage, Root zone, Saline soils,  Gypsum, Model
studies.

The effects of 0.10 and 0.40 irrigation  leaching fraction management on amount of
salt precipitated in the soil and  river  channel and compositions of drainage and
river water were calculated for each of  the three river types routed through nine
successive hypothetical irrigated  valleys.  The calculations assume dissolution
of CaC03  (in the soil) and return  of irrigation drainage waters.  Rivers under-
saturated with CaC03 were slightly less  saline under low versus .high leaching.
Rivers saturated with CaCOS were unaffected by irrigation management.  Rivers
saturated with CaCOS and approaching saturation with gypsum experienced sub-
stantial reductions in salinity under low leaching compared to high leaching.
For CaC03-saturated rivers, a change from high to low leaching results in a root-
zone soil porosity reduction of 0,008% more per year,  For rivers that result in
the precipitation of gypsum, soil  porosity was reduced about 0.08% more per year
for low as compared to high leaching,


77:05G-002
REDUCTION OF 2,  4-D LOAD IN SURFACE RUNOFF DOWN A GRASSED WATERWAY,
Asmussen, L.E.,  White, A,W,, Jr,,  Hauser, E.W,, and Sheridan, J,M,
Agricultural Research Service, Southern  Region, Tifton, Georgia.
Journal of Environmental Quality,  Vol. 6, No.  2, p 159-162, April-June, 1977,
4 fig, 3 tab,  8  ref.

Descriptors:  *Herbicides, *Grassed waterways, *Water pollution, *Agricultural
chemicals, *Watershed management,  Pesticides,  Weed control, Surface
drainage, Agricultural watersheds, Surface runoff, Coastal plains, Pesticide
removal. Pollutants, Sediments, Surface  runoff, Watersheds  (basins).

The effectiveness of a grassed waterway  in decreasing 2, 4-D ((2,4-dichlorophenoxy)
acetic acid))  content in surface runoff  was investigated.  Corn plots were treated
with 2, 4-D (0.56 kg/ha)  and runoff produced by applying simulated rain was di-
rected through a 24.4-m-long grassed waterway.  The 2, 4-D concentrations were
measured under wet and dry antecedent waterway and plot conditions.  Reduction in
2, 4-D load in waterways results from water loss by infiltration, sediment loss,
and by attachment-absorption on vegetative and organic matter.  Of the simulated
rainfall applied 1 day after application of 2, 4-D, 50% of the water ran off  the
plots under dry  antecedent soil conditions, and 78% ran off under wet conditions.
Infiltration reduced runoff flowing down the waterway an additional  25% under dry
conditions and 2% under wet conditions.   Suspended sediment reduction in the
waterway was 98  and 94% of the total amount moving from the plot  for the dry  and
wet waterway conditions,  respectively.  The total  loss  Con  sediment  and in solu-
tion)  of the applied 2,4-D from the plot in the dry and wet states was 2.5 and
10.3%, respectively.
                                        220

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77:05G-003
WATER ALLOCATION AND PRICING  FOR  CONTROL OF IRRIGATION-RELATED SALINITY IN  A
RIVER BASIN,                                                    O^-UNXII ILN  A
Scherer, C.R.
California University, Department of  Engineering Systems,  Los Angeles   California
Water Resources Research, Vol.  13,  No.  2,  p 225-238,  April 1977.   10  fiq 5 tab   '
49 ref.                                                         '                '

Descriptors:  *Water allocation (policy),  *Water quality control,  *Salinity,
Irrigation, *Dynamic programming,  *Economic efficiency, Optimization,  Water
districts. Water rights,  Pricing,  Control, River basins, Downstream, Agriculture,
Decision making, Operations research, Legal aspects,  Hydraulics,  Equations, Water
yield.


The optimal  allocation of water to sequential irrigators is considered  with em-
phasis  on downstream salinity damages caused by salt-concentrating mechanisms
inherent in  irrigated agriculture.   Outlined is a physical hydrosalinity model
that  characterizes multi-irrigation district rivers and is used to develop  a
dynamic programming framework for the efficient allocation of water among dis-
tricts.  The focus is upon  returns (maximization of net benefits)  to  farmers
as a  function of quantity and quality of water diverted and upon developing
an operational model on  which a viable water rights pricing scheme could be
based.  The  allocation is achieved using the dynamic  programming framework  with
decision variables of amount  diverted,  land irrigated, and amount of  irrigation
canals  lined.  This framework is  used to investigate  a scheme whereby water is
purchased and held for downstream use solely as a dilutant,  The basis  is esta-
blished in principle for an operational water rights  market where all purchasers
are financed by downstream  beneficiaries.   This framework would facilitate  dis-
covery  of reallocations  that  are Pareto superior to existing allocations and
computation  of the individual purchase offer that must be made to each  district
to compensate it for acreage  withdrawn from irrigation under these new  allocations
in order to  reduce salinity impact on the downstream users.  Four example solu-
tions are presented.  Probably, better resolution of  salinity management problems
will  evolve  if trade-offs and "efficiency frontiers"  are correctly perceived.


77;05G-Q04
EFFECTS OF INCREASED FERTILIZER RATES ON NITROGEN CONTENT OF RUNOFF AND PERCOLATE
FROM  MONOLITH LYSIMETERS,
Chichester,  F.W.
Agricultural Research Service, Temple, Texas.
Journal of Environmental Quality, Vol. 6,  No. 2, p 211-217, April-June, 1977,
4 fig,  6 tab, 9 ref.

Descriptors: *Nitrogen compounds, *Fertilizers, *Nitrates, *Leaching, *Agricultural
chemicals, Water quality, Nutrients,  Pollutants, Water chemistry, Nitrogen, Water
pollution sources, Percolation, Runoff, Hydrology, Soil chemistry, Agricultural
runoff, Fertilization.

Nitrogen  (N) fertilizer  was applied to meadow and corn cropped lysimeters at  rates
up to 322 and 672  kg/ha  per year, respectively, to determine the effects on chemical
quality of  surface water.  Runoff and percolate samples collected from  May  1971
through April 1975 were analyzed for inorganic and total N content.  Results were
evaluated from crop and  soil  cover treatment differences and were compared  with
data  from a  similar, earlier  study on the same lysimeters in which very low rates
of N  fertilizer were used.   Nitrogen losses in runoff were greatest in  the  summer
when  intense rainfall  events  occurred shortly after the date of fertilizer  applica-
tion.  Nitrogen loss by  leaching was greatest during the winter when  percolation
rates increased because  of  low evapotranspirational demand.  Results  of the study
demonstrated that  improved  fertilizer management, involving application rates  in
balance with crop  nutrient  requirements, soil incorporation of fertilizer materials,
and adequate soil  cover, will minimize runoff and leaching losses which reduce
fertilizer efficiency and a_dversely affect water quality.
                                          221

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77:05G-005
NITROGEN AND WATER MANAGEMENT TO MINIMIZE RETURN-FLOW POLLUTION FROM POTATO
FIELDS OF THE COLUMBIA BASIN,
McNeal, B.L., Carlile, B.L., and Kunkel, R.
Washington State University, Department of Agronomy and Soils, Pullman, Washington.
Proceedings of National Conference on Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado, p 33-43, May 16-19, 1977.
7 tab, 7 ref.

Descriptors:  Nitrogen, Fertilizers, Fertilization, Return flow, Water management
 (applied), Potatoes, Columbia River, Crop production, Irrigation, Sprinkler
irrigation, Furrow irrigation.

Cooperative field studies have evaluated levels of dissolved soil N, and correspond-
ing crop yields for selected potato production practices in the Columbia Basin area
of Washington.  High dissolved-N levels were found throughout the growing season in
well-managed potato fields.  Such levels were decreased by decreased fertilization
rate, use of slow-release N fertilizers, or sprinklers-application of N fertilizers.
Careful water management during sprinkler irrigation proved capable of maintaining
dissolved-N within the root zone of subsequent crops by season*s end, even on very
sandy sites.  Alternate-furrow irrigation also proved effective in "trapping"
much banded fertilizer N within the plant root zone on heavier-textured furrow-
irrigated soils.  Periodic recovery of residual N by other crops in the rotation
is necessary to prevent eventual return flow contamination, however,  Site-to^-site
sampling variability necessitated the use of composited soil samples, rather than
fixed-position soil solution extraction cups, for adequate monitoring of dissolved-
N levels in soils of the area.  Neither dissolved soil N nor plant petiole NO3-N
proved to be reliable predictors of crop N needs at the high residual soil N levels
commonly found in recropped potato fields of the Columbia Basin.


77:05G-006
MODELING SALINITY OF IRRIGATION RETURN FLOW WHERE SOURCES AND SINKS ARE PRESENT,
Hanks, R.J., Willardson, L,S,, and Melamed, D.
Utah State University, College of Agriculture, Department of Soil Science and
Biometeorology, Logan Utah,
Proceedings of National Conference on Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado, p 99-107, May 16-19, 1977,
10 fig, 2 tab, 9 ref, 4 equ.

Descriptors:  Model studies, Simulation analysis.

Managing irrigation return flow when salinity sources and sinks are present presents
many complex difficulties.  Models developed to include the source sink term in an
empirical way show that wide variations in irrigation quality and quantity will have
little influence on return flow for many years where the source-sink term is im*-
portant.  The quantity of salt in return flow is primarily determined by water
flow because the soil solution concentration changes very slowly.  Where a water
table is present, successful irrigation might be practiced with no return flow
for some conditions.  Even where no source-sink term is considered, model predic-
tions indicate irrigation management with no return flow for several years is
possible with little reduction in yield,  The influence of irrigation system
uniformity is shown to be significant over several years time.  Thus, it is evi^
dent that many possibilities for return flow management exist but the long term
effects should not be overlooked,


77:05G-007
COMBINING AGRICULTURAL IMPROVEMENTS AND DESALTING OF RETURN FLOWS TO OPTIMIZE
LOCAL SALINITY CONTROL POLICIES,
Walker, W.R.
Colorado State University, Department of Agricultural and Chemical Engineering,
Fort Collins, Colorado.
Proceedings of National Conference on Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado, p 203-213, May 16-19, 1977.
7 fig, 9 ref, 22 equ.

Descriptors:  Model studies, Mathematical simulation, Desalination, Irrigation,
Colorado,  Seepage.
                                         222

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Mathematical simulations of the cost-effectiveness  relationship  for various
agricultural and desalination alternatives  for  controlling  salinity in  irrigation
return flows are being developed.  The  question of  respective  feasibility  for each
type of control is determined through minimizing the  total  costs,  thereby  optimally
selecting the best measures to implement.   To demonstrate the  concept   desalting
and canal linings were compared for  the Grand Valley  in  western  Colorado   Results
indicate that desalting exhibits  superior feasibility to linings of canals where
seepage rates are low.  In general,  desalting will  exhibit  its best feasibility
when applied to large-scale applications and when salt pickup  rates stemming from
irrigation return flows are small.


77:05G-008
PRACTICAL APPLICATIONS OF IRRIGATION RETURN FLOW QUALITY MODELS  TO LARGE ACREAGES,
Shaffer, M.J., and Ribbens, R.W.
United States Bureau of Reclamation, Engineering and  Research  Center, Denver,
Colorado.
Proceedings of National Conference on Irrigation Return  Flow Quality Management,
Colorado State University, Fort Collins, Colorado,  p  217-223,  May  16-19, 1977.
6 fig, 1 tab, 12 ref.

Descriptors;  Model  studies,  Simulation analysis, Water  quality, Water  quality
control. Irrigation, Return flow.

Numerous return flow quality  simulation models  have been developed in recent years.
Practical use of these tools  on large irrigation projects is discussed  in  terms
of  study  objectives, data requirements and availability, model  detail  and sensiti-
vity, inherent limitations, and reliability and interpretation of  results. The
modeling efforts of  the Bureau of Reclamation and other  institutions•are used to
illustrate the utility and practicability of  these  new tools.  Potential and
present model users  should gain valuable insight into the benefits and  pitfalls
of  return flow quality modeling.


77:056-009
MODELING THE IRRIGATION RETURN FLOW  SYSTEM—CURRENT CAPABILITIES AND FUTURE NEEDS,
Walker, W.R,
Colorado State University, Department of Agricultural and Chemical Engineering,
Fort Collins, Colorado  80523.
Proceedings of National Conference on Irrigation Return  Flow Quality Management,
Colorado State University, Fort Collins, Colorado,  p  261-265,  May  16-19. 1977.

Descriptors:  Model  studies.  Simulation analysis, Water  quality, Mathematical
studies.

A  large number of mathematical models have  been developed and  tested for simulation
of  irrigation return flow  systems.   The strengths and weaknesses of the technology
have been examined as part of two recent studies by the  author.  This paper dis-
cusses what seems to be some  of the  more critical problems  in  using these  models,
the relative strengths of  those existing, and  important  research and development
needs for maximizing their utilization  in the  future.


77:05G-010
HOW THE NPDES PROGRAM WILL DEFINE PRESENT WATER QUALITY  CONDITIONS,
Merrill, G.
Central Valley Regional Water Quality Control Board,  Sacramento, California,
Proceedings of National Conference on Irrigation Return  Flow Quality Management,
Colorado State University, Fort Collins, Colorado,  p  289-291,  May  16-19, 13//.
3  tab.

Descriptors:  Surface irrigation, Return flow,  California,  Suspended solids,
Irrigation, Water quality  control.

Monitoring of surface irrigation  supplies and  surface return flows is being carried
on  through the NPDES permit program  under Public Law  92-500.  This program encom-
passes approximately 1.3 million  acres  of  land  in the San Joaquin  Valley f
California alone.  The EC  and suspended solids  of the ^igation returns frequently
exceed basin water quality control plan objectives  (standards) adopted  in  1971 by
the Central Valley Board  for  the  receiving  water.
                                          223

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77:05G-011
THE SULPHUR CREEK PILOT PROJECT:   A PRACTICAL APPROACH TO CONTROL OF POLLUTANTS
LEAVING IRRIGATED FARMLANDS,
Spencer, J-, Horton,  M.,  and Gleaton,  J.
State of Washington,  Department of Ecology,  Olympia, Washington.
Proceedings of National Conference on  Irrigation Return Flow Quality Management,
Colorado State University,  Fort Collins,  Colorado, p 307-319, May 16-19, 1977.
2 fig, 1 tab.

Descriptors:  Washington, Return flow, Water quality, Fertilizers, Pesticides,
Crop production, Irrigation,  Economics.

The Sulphur Creek project grew out of  the momentum and confusion resulting from
attempts to apply a National Pollution Discharge Elimination System (NPDES) permit
to irrigation return flows.  The result has  been a project containing what appeared
to be compatible and, for the most part,  admirable objectives^soil and water con-
servation, improved water quality, improved  fertilizers and pesticides application,
improved crop production, and local control.  Along with education and technical
assistance for the individual farmer,  this unique program is structured to provide
local control to decisions affecting the farmer.  The Best Management Practices
concept assumes that informed decisions and  improved management will generally
provide improved crop production, conservation of soil resources, and cleaner
water.  The project is currently just  over one year old.  Details of the technical
success of the project will not be available for some time.  Unlike most types of
industry covered by the NPDES permits, irrigation return flow improvement represents
complex hurdles which have to be overcome by facing the realities of technology,
politics, economics,  and social patterns,


77:050-012
THE "208" PLANNING EFFORT FOR IRRIGATED AGRICULTURE IN THE STATE OF WASHINGTON,
Horton, M., and Spencer,  J.
State of Washington,  Department of Ecology,  Olympia, Washington.
Proceedings of National Conference on  Irrigation Return Flow Quality Management,
Colorado State University,  Fort Collins,  Colorado, p 321-323, May 16-19, 1977.
1 fig.

Descriptors:  Irrigation, Irrigation effects, Washington, Agriculture, Water
quality, Economics.

The Department of Ecology is responsible for developing a "208" Plan for irrigated
agriculture in the State of Washington,  It  is anticipated that Best Management
Practices (BMP)  will be utilized by individuals to come into compliance with a
state-wide regulatory program (possibly NPDES).  Water quality committees formed
through local conservation districts,  with representatives from all interested
groups, will develop BMP based on the  following criteria;  (1) economic feasibility;
(2) local acceptability;  and (3)  water quality improvement.


77:05G-013
EVALUATING APPROPRIATE TECHNOLOGIES FOR SALINITY CONTROL IN GRAND VALLEY,
Evans, R.G., Walker,  W.R.,  Smith, S.W,, and  Skogerboe, G.V.
Colorado State University,  Department  of Agriculture and Chemical Engineering,
Fort Collins, Colorado   80523.
Proceedings of National Conference on  Irrigation Return Flow Quality Management,
Colorado State University,  Fort Collins,  Colorado, p 375-384, May 16-19, 1977.
3 fig, 2 tab, 3 ref.

Descriptors:  Technology, Irrigation practices, Irrigation systems. Canal linings,
Colorado, Colorado River, Salinity, Irrigation, Economics,

A summary of the results of applied research on salinity control of irrigation
return flows in the Grand Valley of Colorado is presented for the period of 1969 to
1976.   Salinity and economic impacts are described for the Grand Valley Salinity
Control Demonstration Area which contains approximately 1600 hectares and involves
most of the local irrigation entities  in the valley.  During the eight years of the
demonstration project, 12.2 km of canals were lined, 26.54 km of laterals were
lined, 16.4 km of drainage tile was installed, a wide variety of on-farm improvements
were constructed, and an irrigation scheduling program was implemented.  The total
value of the constructed improvements  in the demonstration area was almost $750,000.
                                          224

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77:05G-014
DEVELOPMENT OF BEST MANAGEMENT  PRACTICES  FOR SALINITY CONTROL IN  GRAND VALLEY
Walker, W.R., Skogerboe, G.V.,  and  Evans,  R.G.                                '
Colorado State University, Department  of  Agriculture  and  Chemical Engineering,
Fort Collins, Colorado   80523.
Proceedings of National  Conference  on  Irrigation Return Flow Quality  Management,
Colorado State University, Fort Collins,  Colorado,  p  385-393, May 16-19,  1977.
5 fig, 7 ref, 16 equ.

Descriptors:  Canal linings,  Water  quality,  Water quality control. Desalination,
Colorado River, Salinity, Colorado.

Cost-effectiveness functions  for various  on-farm, conveyance, and desalting  salinity
control alternatives were developed for the  Grand Valley  of western Colorado.
These  functions were then optimized to determine the  best management  practices  on
a valley-wide scale.  The results indicate the  relative importance of lateral
linings and on-farm improvements over  either canal lining or desalting.   Generalized
curves are presented for application of this analysis to  other similar areas where
less information is available.


77:05G-015
WATER  QUALITY:  AN OVERVIEW,
Mostertman, L.J.
Technische Hogeschool, International Course in Hydraulics  and Sanitary Engineering,
Delft, The Netherlands.
Agro-Ecosystems, Vol, 3, No.  3, p 239-251, June 1977.  8  ref.

Descriptors:  Water resources,  Pollution,  Water pollution, Water  chemistry,  Nutrients,
Salinity, Thermal pollution.  Water  resources.

The water resources of  the world are described  in relation to:  La) evaluation  of
present and  future needs,  (b)  collection of  data, (c) biological  pollution,  (d)
drinking water supply,  (e) pollution by chemicals,  (f)  pollution  by excessive
nutrients,  (g) salinity and  alkalinity, (h)  thermal pollution, (i)  organic waste
treatment and disposal,  and  (j) need for a systems approach.  The possibilities of
constructive action, particularly on an international front, are  discussed.


77:05G-016
REDUCING WATER QUALITY  DEGRADATION  THROUGH MINIMIZED  LEACHING MANAGEMENT,
Rhoades, D.L., and Suarez, D,L.
United States Department of  Agriculture,  Agricultural Research Service, United
States Salinity Laboratory,  Post Office Box 672, Riverside, California  92502.
Agricultural Water Management,  Vol. 1, No. 2, p 127-142,  September 1977.  10 tab,
15 ref, 3 equ.

Descriptors:  Water quality,  Water  quality control, Leaching, Water resources,
Salinity, Saline  soils,  Agriculture,

The U.S.A. has adopted  a policy of  enhancing water quality and of conserving
natural resources.  The concept of  minimized leaching has been advanced to help
meet  these goals  by reducing salinity  pollution from  irrigated agriculture.  It
has received considerable  attention by those concerned with management of water
resources and is  promoted  by some as a generally applicable method for minimizing
salinity pollution.  This  paper reviews the basis of  the  concept  and  identifies
the conditions under which minimized leaching will and will not enhance water
quality.



DISPOSAL OF  SALT  WATER  DURING WELL CONSTRUCTION, PROBLEMS AND SOLUTIONS,
Pitt,  W.A.J., Jr., Meyer,  F.W,, and Hull, J.E.
Geological Survey, Water Resources  Division, Miami, Florida.        , --v.
Ground Water, Vol. 15,  No.  4, p 276-283, July-August, 1977.  6 fig, 1 tab.
 Descriptors-   "Injection wells, 'Drilling, *Water pollution sources, *Saline water,
 Florida   Aquifers  Drilling fluids, Sewage disposal, Monitoring, Pumping,  Ground-
                                           225

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necent interest in disposal of treated sewage effluent by deep-well injection  into
saline aquifers has increased the need for proper disposal of salt water as more
wells are drilled annually.  Three cases of contamination of an unconfined aquifer
in Florida by salt water spilled or discharged from wells trapping the underlying
saline aquifer are examined in this study.  In two cases, near Miami, contamination
resulted from disposal of salt water into unlined surface bits during injection
well construction.  At the third site near West Palm Beach, minor contamination
was caused by accidental spills during construction.  Precautions taken at the
latter site included the use of a brine injection well for disposal of saline
water and a closed circulation drilling system to minimize spillage.  A concurrent
monitoring program facilitated early detection of salt spill effects, thus, mapping
of the contaminant and restoration efforts were effective and relatively inexpensive.
Suggestions for further increasing the safety of drilling into saline aquifers
include the construction of impermeable drilling pads with gutters and employing
special procedures for handling drilling muds.


77:056-018
REGIONAL MANAGEMENT OF URBAN AND AGRICULTURAL POLLUTION,
Lashkari, R.S., Hwang, C.L,. and Fan, L.T.
Windsor University.- Ontario, Canada.
Journal of the Water Pollution Control Federation, Vol. 49, No.  8, p 1877-1888,
August 1977.  6 fig, 6 tab, 13 ref.

Descriptors:  *Water quality control, *Salinity, *Biochemical oxygen demand,
*Economic efficiency, *Water policy, *0ptimization, *Drainage area, Costs, Con-
straints, Water demand, Agriculture, Utah, Standards, Desalination plants,
Irrigation, Equations, Mathematical models. Systems analysis.

Presented is an approach to water quality management in areas where a variety of
urban and agricultural pollutants are discharged into a body of water.   The Utah
Lake drainage area is considered in which the urban and agricultural return flow
from four districts of the Utah Valley are discharged into the Lake.   A model of
salinity and biochemical oxygen control is used which coordinates the pollution
control activities of the urban and agricultural sectors in each district.  The
model consists of a wastewater treatment system and a desalting plant in the urban
sector, and a. combination of structural and practice improvements in the irrigation
system of the agricultural sector.  The objective is to minimize the costs of main-
taining certain biochemical oxygen demand and salt reduction standards in the
districts' aggregate effluents to the Lake under two assumptions:  that each dis-
trict is to maintain the standards independently, and that the salinity-biochemical
oxygen demand control efforts of the individual districts are regionally coordinated.
The results indicate that savings can be achieved through regional coordination of
pollution control efforts.


77:05G-019
DETAILED RETURN FLOW SALINITY AND NUTRIENT SIMULATION MODEL,
Shaffer, M.J.
Bureau of Reclamation, Denver, Colorado.
Proceedings of the International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20, 1976, p 127-141.  8 fig, 18 ref,

Descriptors:  *Simulation analysis, *Nutrlents, *Return flow, *Salinity, Model
studies, Drainage, Nitrogen, Water quality, Lysimeters, Irrigation effects,

A computer model allows the simultaneous consideration of many complex chemical
and physical processes in the unsaturated and saturated zones.  The model simulates
one-dimensional unsaturated flow and two-dimensional saturated flow (.to tile drains),
as well as chemical reactions and transport processes involving the major cations
and anions,  and nitrogenous species.  The program also includes crop uptake of
water and nutrients.  A numerical integration technique is utilized to solve the
appropriate differential equations, and generate transient predictions throughout
the soil-aquifer system, and at the drains.  Utilization of a master site technique
allows application of the model to predict irrigation return flow quality and
quantity from large irrigated areas involving thousands of acres.  Verification has
been accomplished on large acreages as well as field plots, lysimeters, and laboratory
columns.   The model has a well-documented user's manual and has been applied to
several large irrigation projects.
                                          226

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77:05G-020
NATIONAL WATER QUALITY GOALS AND  IRRIGATED AGRICULTURE,
Johnston, W.R.
Westlands Water District, Fresno, California.
Journal of the Irrigation and Drainage  Division,  America  Society  of  Civil
Engineers, Vol. 103, No. IR2, p 109-114,  June  1977.   10 ref.

Descriptors:  Irrigation, Water quality,  Water, Return  flow,  Irrigation effects
Agriculture, Irrigation water, Crop  production.

In 1972, the United States government,  reflecting the concern of  people everywhere
over the pollution of this country's water resources, passed  the  Federal Water
Pollution Control Act Amendments  of  1972.  This law  created certain  national water
quality goals and has had great impact  on municipal  and industrial activities
that relate to the water systems  of  the United States.


77:05G-021
PL 92-500 V. POLLUTION BY IRRIGATION RETURN  FLOW,
Blackman, W.C., Jr., Wills, C.G., and Celnicker,  A.C.
National Enforcement Investigations  Center,  Denver,  Colorado.
Journal of the Irrigation and Drainage  Division,  Proceedings  of ASCE, Vol. 103,
No. 2, p 207-220, June 1977.  3 fig, 14 ref.

Descriptors:   *Federal Water Pollution  Control Act,  *Federal  Reclamation Law,
Irrigation districts, Irrigation return flow, Irrigation practices, Pollution
abatement, Water pollution control,  Irrigation, Permits,  Regulation, Administrative
agencies, Governmental interrelations,  Effluent limitation.


This paper summarizes the problems of applying the municipal/industrial waste
treatment oriented permit approach of the National Pollutant  Discharge Elimination
System to the  control of irrigation  return flow as embodied in the Federal Water
Pollution Control Act Amendments  of  1972.  It  is  held that there  must be acceptance
and implementation of optimum application of irrigation water, even  though optimum
application may involve use of less  than  the prior appropriated water right.  In
the promulgation of regulations by the  Environmental Protection Agency, the EPA
should recognize that regional and delegated state administrators must have
flexibility to designate permittees  on  the basis  of  logic.  Since the Bureau of
Reclamation plans, administers and operates many  newly  established irrigation
projects, it is uniquely qualified to provide  leadership  and  guidance toward opti-
mum practices within project areas.   In established  irrigation districts and major
irrigated areas, EPA should initiate a  program of grants  and  contracts to enable
optimum operation of plots representative of each area.   Such recommendations
and others will require modified  viewpoints  of irrigators, legislators, regulatory
agencies and others.


77:056-022
PROCEEDINGS OF NATIONAL CONFERENCE:   IRRIGATION RETURN  FLOW QUALITY  MANAGEMENT,
Law, J.P., and Skogerboe, G.V,
Conference sponsored by the Environmental Protection Agency and Colorado State
University.
Proceedings of National Conference on Irrigation  Return Flow  Quality Management,
Colorado State University, Fort Collins,  Colorado, p 1-451, May 16^19, 1977,
193 fig, 136 tab, 310 ref, 106 equ,  1 append.

Descriptors:   Irrigation, Irrigation systems,  Irrigation  practices,  Crop production,
Crop response, Return flow, Water quality control, Model  studies, Agriculture,
Technology, Salinity, Fertilization, Groundwater, Runoff, Erosion, Sedimentation,
Water resources, Water conservation, Irrigation efficiency, Water law, Water
management  (applied), Pollutants, Pollution  abatement,  Pollutant  identification.

The results of numerous research  projects and  investigations  are  presented which
focus upon defining appropriate technologies for  alleviating  water quality problems
from irrigated agriculture; most  of  these technologies  involve improved_water
management practices.  In addition,  case  studies  are presented for key irrigated
areas in the United States which  provide  necessary insights and experiences_as to
how technologies might be most effectively implemented.   The  primary objectives
                                          227

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of the conference were:  (1)  to present the results of the irrigation return
flow research and development program of the United States Environmental
Protection Agency; (2)  to interpret the research results into an interdisciplinary
approach for solving problems of irrigation return flow quality management; and
(3) to provide a forum for presenting and discussing the alternatives for implementing
irrigation return flow  quality  control.
77:05G-023
CONTROL OF NONPOINT WATER POLLUTION FROM AGRICULTURE:  SOME CONCEPTS ,
Frere, M.H., Woolhiser, D.A., Caro, J.H., Stewart, B.A., and Wischmeier, W.H.
Agricultural Research Service, Southern Great Plains Watershed Research Center,
Chickasha, Oklahoma,
Journal of Soil and Water Conservation, Vol. 32, No. 6, November-December, 1977,
p 260-264.  6 fig, 1 tab, 13 ref.

Descriptors:  *Water pollution control, *Erosion, *Fertilizers, *Pesticides,
*Farm management, *Nonpoint source pollution, Federal water pollution control
act, Agricultural chemicals, Watersheds, River basins, Runoff, Farm wastes,
Nutrients, Pollution taxes, Education, Conservation, Alternative practices,
Incentives.

Federal and State laws require that methods be developed for evaluating nonpoint
pollution problems and for recommending control practices.  Since the major
responsibility for control lies with organizations covering large areas, such
as river basins or states, the task is difficult at best.  Control methods can
be classified into two groups:   (1) methods applicable to large areas, and (2)
farming practices that are site-specific because of climate, topography,
economics, etc.  Some advantages and disadvantages of education, incentives,
taxation, and legal penalties for broad areas are discussed.'  The use of flow
charts for erosion, nutrient, and pesticide problems are briefly discussed.
The charts should be useful in selecting farming practices that reduce nonpoint
pollution and in evaluating their consequences.


77:05G-024
TILLAGE SYSTEM EFFECTS ON RUNOFF WATER QUALITY:  PESTICIDES,
Baker, J.L., and Johnson, H.P.
Iowa State University, Department of Agricultural Engineering, Ames, Iowa  50011.
Presented at the 1977 Winter Meeting, American Society of Agricultural Engineers,
December 13-16, 1977, Palmer House, Chicago, Illinois, p 1-14.  2 fig, 4 tab,
17 ref.

Descriptors:  Pesticides, Runoff, Sedimentation, Corn, Erosion, Soil erosion,
Sediments, Water quality.

Pesticide runoff losses in sediment and water were measured for six small water-
sheds planted to continuous corn by three tillage systems: conventional, till-
plant, and ridge-plant.  Decreased runoff and erosion for the till-plant and ridge-
plant systems resulted in decreased pesticide losses; however, pesticide concen-
trations in sediment and/or water were sometimes higher  (relative to conventional),


77:05G-025
AN INTRODUCTION TO FOUR OVERVIEWS:  ARID AND SEMI-ARID LANDS; SOIL LOSS; TROPICAL
FORESTS AND WOODLANDS; WATER QUALITY,
Tolba, M.K.
The United Nations Environment Program.
Agro-Ecosystems, Vol. 3,  No. 3, p 183-184, June 1977.

Descriptors:  Erosion, Water quality, Water, Watersheds  (basins) ,. Climates,
Arid lands, Arid climates.

One of the major tasks assigned by the United Nations General Assembly to the
Governing Council of the  United Nations Environment Program, in the aftermath
of recommendations made at the United Nations Conference on the Human Environment
convened at Stockholm in  1972, was to "keep under review the world environmental
situation in order to ensure that emerging environmental problems of wide
                                         228

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international significance receive appropriate  and  adequate  consideration  "   To
assist in carrying out this task, the Executive Director  was requested  by'the
Governing Council of UNEP, at its second  session in 1974,  to prepare  each  year
reviews of one or more of the priority  subject  areas of the  Environment Program
in addition to preparing an annual State  of  the Environment  Report which sum-
marizes the most important and the major  emerging issues  that affected  the
environment during the preceding year.


77:05G-026
THE CONTROL OF NITRATE AS A WATER POLLUTANT,
Swoboda, A.R.
Texas A and M University, Texas Agricultural  Experiment Station,  College Station
Texas  77843.                                                                    '
Publication No. EPA-600/2-77-158, August  1977.   141 p, 16 fig,  55 tab,  14  ref,
3 append.

Descriptors:  Nitrates, Leaching, Soils,  Crop production.  Fertilizers,  Fertiliza-
tion, Nutrients, Lysimeters.

This study was based on the premise  that  the  most logical approach to reducing
nitrate leaching in soils was to limit  the amount of nitrate in the soil solution
at any one time.  Methods of limiting the concentration of nitrate in the  soil
solution while maintaining an adequate  supply of available nitrogen for plant
growth are reported.  Timing of nitrogen  application was  found  to be  a  very ef-
fective means of reducing nitrate leaching.   When nitrogen was  applied  in  the
fall, as much as 3-fold more nitrate  was found to have leached below 60  cm  in  the
soil by June as compared to applications  made in March.   A nitrification inhibitor,
N-Serve, was found to be very effective in reducing the amount  of nitrate  leached.
Slow release sulfur coated ureas and treatment  of nitrogen fertilizers  with N-
Serve were found to be effective means  of reducing  leaching  losses of nitrate
when fertilizers were applied in the fall or  winter.


77:05G-027
PREDICTION OF MINERAL QUALITY OF IRRIGATION  RETURN  FLOW:   VOLUME  I.   SUMMARY
REPORT AND VERIFICATION,
Bureau of Reclamation, Engineering and  Research Center, Denver, Colorado  80225.
Publication No. EPA-600/2-77-179a, August 1977.  59 p, 5  fig,  2 tab,  6  ref.

Descriptors:  Water quality, Return  flow, Irrigation, Irrigation  effects,  Model
studies, Salinity, Dissolved solids. Simulation analysis,  Groundwater,  Hydrology.

This volume of the report outlines the  purpose  and  scope  of  the return  flow research
and specifically explains the capabilities of the conjunctive use model for pre-
dicting the mineral quality of irrigation return flow.  The  purpose of  the re-
search was to develop a conjunctive  use model which would (.1)  predict the  salinity
contribution from new irrigation projects and (2) predict the change  in return
flow salinity that would'result from operational changes  on  exisiting projects.
The model developed and described herein  describes  the chemical quality in terms
of eight ionic constituents and total dissolved solids,   A nodal  concept has  been
used to facilitate subdividing the project area along physical  or hydrologic
boundaries as desired.  The study may be  limited to 1 or  as  many  as 20  nodes,
                                                          VOLUME  II.  VERNAL
77:05G-028
PREDICTION OF MINERAL QUALITY OF IRRIGATION RETURN FLOW:
FIELD STUDY,
Bureau of Reclamation, Engineering and Research Center, Denver, Colorado  80225.
Publication No. EPA-600/2-77-179b, August 1977.  106 p, 45 fig, 9 tab, 1 append.

Descriptors:  Utah, Groundwater, Water quality, Irrigation, Irrigation water,
Return flow, Crop production, Soil chemistry, Simulation analysis.

This volume of the report 'details the field investigations conducted to develop
and validate the "Simulation Model of Conjunctive Use and Water Quality for a
River System or Basin" as given in Volume III of this report,  The studies were
conducted in Ashley Valley.- near Vernal, Utah.  The investigations included:  the
quantity and quality of groundwater, irrigation water, and return flows; crop
inventory and consumptive use; soil chemistry; and hydrological units to define
nodes.
                                         229

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 77:05G-029
 PREDICTION OF MINERAL DUALITY OF IRRIGATION RETURN FLOW:  VOLUME III.  SIMULATION
MODEL OF CONJUNCTIVE USE AND WATER QUALITY FOR A RIVER SYSTEM OR BASIN,
Bureau of Reclamation, Engineering and Research Center, Denver, Colorado   80225.
Publication No. EPA-600/2-77-179c, August 1977.  285 p, 43 fig, 18 tab, 1  append.

Descriptors:  Computer programs, Simulation analysis, Model studies, Irrigation,
Irrigation effects, Return flow, Water quality.

This volume of the report documents the development of a digital computer  coded
simulation model to predict the effect of irrigation of agricultural lands on the
resulting irrigation return flow quality.  The model is capable of simulating
conjunctive uses of water, however, validation for this purpose was not performed.
The model developed in this volume is much less rigorous than that presented in
Volume V, however, it can be used to provide an assessment of water quality trends
due to irrigation at much less cost than the detailed model.  A user's manual
 is included in the report.


 77:05G-030
 PREDICTION OF MINERAL QUALITY OF IRRIGATION RETURN FLOW:  VOLUME IV.  DATA ANALYSIS
 UTILITY PROGRAMS,
 Bureau of Reclamation, Engineering and Research Center, Denver, Colorado  80225.
 Publication No. EPA-600/2-77-179d, August 1977.  222 p, 1 ref.

 Descriptors:  Return flow, Irrigation, Irrigation effects. Water quality,  Computer
 programs, Model studies, Simulation analysis.

 This volume of the report contains a description of the data analysis subroutines
 developed to support the modeling effort described in Volume III.  The subroutines
 were used to evaluate and condition data used in the conjunctive use model.  The
 subroutines include  (1) regression analysis, (2) Gaussian probability function,
 (3) Beta distribution, and  (4) Pearson's incomplete gamma function.  For each of
 these subroutines, a brief theory is given plus a program listing and sample
 problem.


 77:05G-031
 CALLAHAN RESERVOIR:  I. SEDIMENT AND NUTRIENT TRAP EFFICIENCY,
 Rausch, D.L., and Schreiber, J.D.
 Agricultural Research Service, North Central Watershed Research Center, Columbia,
Missouri.
 Transactions of the American Society of Agricultural Engineers, Vol. 20, No, 2,
 p 281-284, 290, March-April, 1977.  2 fig, 3 tab, 10 ref.

 Descriptors:  *Reservoirs, *Sediments, *Nutrients, *Missouri, *Trap efficiency,
 Sedimentation, Water pollution, Phosphorus, Nitrogen, Runoff, Inflow, Discharge
 (water), Path of pollutants, Lakes.

 Small reservoirs remove and trap significant amounts of sediment and nutrients
 from storm runoff.  Callahan Reservoir, a small floods-detention reservoir  in
 central Missouri, which permanently stores 1 cm of runoff from its 1,440-ha
drainage area, trapped an average of 87% of the incoming sediment, 72% of  the
 total phosphorus  (P), and 30% of the inorganic nitrogen  ON) in 1973.  Sediment
efficiency and P trap efficiency in the reservoir were both related to the in*-
coming sediment particle-size; however, only sediment trap efficiency was  related
to detention time.  The annual amount of N03 trapped seemed related to annual
runoff volume.  For 1973, the soluble nutrients, total soluble P, and N03  were
trapped at similar rates, 32% and 34%, respectively.  More NH4, dissolved  organic
P and dissolved hydrolyzable P were found in outflow than in inflow.  The  in-
creases, which are less than 2% of the nutrient budget, may be attributed  to
biological activity  in the reservoir.


 77:O5G-032
CALLAHAN RESERVOIR:  II.  INFLOW AND OUTFLOW SUSPENDED SEDIMENT PHOSPHORUS
RELATIONSHIPS,
Schreiber, J.D., Rausch, D.L., and McDowell, L.L.
                                        230

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United States Department of Agriculture  Sedimentation Laboratory,  Agricultural
Research Service, Oxford, Mississippi.
Transactions of the American Society  of  Agricultural Engineers.  Special  Edition
Vol. 20SW, p 285-289, April 20,  1977,   5 fig,  4  tab, 23  ref,  1  equ.

Descriptors:  Missouri, Sediments,  Flood control,  Reservoirs, Downstream,
Agricultural watersheds, Phosphorus.

The inflow and outflow of Callahan  Reservoir,  located in an agricultural area
near Columbia, Missouri, was studied  for 1 year  to understand the  sediment and
solution phosphorus  (P) relationships.   The solution phase was  analyzed  for
dissolved organic, hydrolyzable,  and  ortho-P and the sediment was  analyzed for
total, inorganic, and organic  P.  The discharge  weighted mean solution phase
concentration of dissolved organic, hydrolyzable,  and ortho-P for  the inflow
was 0.008, 0.002 and 0.059, mg/1, respectively,  as compared with 0.011,  0.005,
and 0.021 mg/1 for the outflow.   The  outflow sediment had a larger concentration
 (mu g/g) of total, inorganic,  and organic P than did the inflow sediment.
However, because of  sediment deposition within the reservoir, there  was  a 4-
fold decrease in outflow suspended  sediment P volume concentrations  (.mg/1) .
Isotopic dilution techniques with 32P were used  to estimate the portion  of
sediment-P31 in equilibrium with solution-P31,  The quantities  of  isotopically
exchangeable sediment-PSl in the inflow and outflow sediments were 30 and 41
mu  g/g, respectively.
 77:05G-033
 CALLAHAN  RESERVOIR:   III.   BOTTOM SEDIMENT-WATER-PHOSPHORUS RELATIONSHIPS,
 Olness, A.,  and Rausch,  D.
 Agricultural Research Service,  Water Quality Management Laboratory,  Durant,
 Oklahoma.


 Transactions of the  American Society of Agricultural Engineers,  Vol. 20,  No.  2,
 p 291-297,  300, March-April, 1977.  6 fig, 3 tab, 38 ref.

 Descriptors:  *Reservoirs,  *Bottom sediments, *Water quality, Sediments,  Chemical
 properties.  Chemical analysis,  Physical properties, Cores, Sampling, Phosphorus,
 Nutrients,  Water chemistry, Lakes, Limnology.

 Sediment  core samples obtained  from a 164,000 cu m reservoir in central Missouri
 showed highly significant correlations between sediment clay content and phosphorus
 concentrations.  Both sediment  clay content and phosphorus concentrations increased
 with distance from the reservoir inlet.  No strong correlations between phosphorus
 concentration and sediment depth were observed.  Phosphorus concentrations varied
 widely between and within core  profiles ranging from less than 100 ppm to more
 than 1000 ppm and from less than 200 ppb to more than 3000 ppb for total phosphorus
 and total soluble phosphorus, respectively.  The mean total phosphorus concentration
 in the reservoir water was 108  ppb.  About 25% and 10% of the total  suspended
 phosphorus  was soluble phosphorus and soluble reactive phosphorus, respectively.
 The reservoir sediments seemed  to serve as a phosphorus sink either  through
 chemical  adsorption  or planktonic and mineral sedimentation,


 77:05G-034
 SOIL-SALT INTERACTIONS IN RELATION TO SALT CONTROL,
 Biggar, J.W., and Tanji, K,K.
 Land,  Air  and Water Resources  Department, University of California, Davis,
 California.
 Transactions of the  American Society of Agricultural Engineers,  Special Edition,
 Vol.  20SW,  p 68-75,  February 20, 1977.  1 tab, 50 ref, 9 equ.

 Descriptors:  Root zones,  Return flow, Salts, Cation exchange, Ion exchange,  Water
 management  (applied), Crop production, Salt tolerance, Soils.

 An appraisal is made on the difficulties of predicting and evaluating mass
 emission  of  salts in irrigation return flows.  The more important physicochemical
 processes that occur in the root zone are identified and the complexity and
 state-of-the-art knowledge of them is discussed.
                                          231

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77 :05G-035
RECLAIMING PARTIALLY CLOGGED TRICKLE EMITTERS,
Nakayama, F.S., Bucks,  D.A., and French, 0,F.
United States Water Conservation Laboratory, Agricultural Research Service, United
States Department of Agriculture, Phoenix, Arizona.
Transactions of the American Society of Agricultural Engineers, Special Edition,
Vol. 20SW,  p 278-280, April 20,  1977.  1 fig, 1 tab, 9 ref.

Descriptors:  Irrigation systems, Trickle filters, Clogging, Flow rate, Laboratory
tests, Injection.

A trickle emitter system, which had become partially clogged after two years of
operation even with extensive water filtration, was reclaimed successfully by
treating the entire system with concentrated hypochlorite and acid solutions.
Chemical cost per emitter was less than replacement cost for the emitter and
supply tubing.  Maintenance treatment with low levels of hypochlorite and acid
prevented recurrence of emitter plugging,


 77:05G-036
 SOIL-ASPHALT MIXTURE FOR CANAL  SEEPAGE  CONTROL:   LABORATORY  STUDY,
 Sommerfeldt,  T.G.
 Research Station,  Agriculture Canada, Lethbridge, Alberta, TIJ  4B1, Canada.
 Canadian Agricultural  Engineering, Vol.  19,  No. 2,  p 111-115, December  1977.

 Descriptors:   Laboratory tests.  Seepage control,  Seepage, Asphalt, Soils,  Irriga-
 tion canals,  Model studies,  Salinity, Linings.

 A material  for lining  irrigation canals composed  of soil, anionic asphalt  emulsion,
 Wyoming  bentonite,  an  enzymatic  wetting agent, and water was developed  in  the
 laboratory.   Discs of  the material were tested for  seepage control, and resistance
 to erosion,  weathering,  freezing, and thawing.  A ditch model was subjected to
 a continuous stream of water for 30  days.   The material was  satisfactory under
 laboratory  conditions.   It  had  some  flexibility and, when wet,  was soft and
 spongy,  similar to gum rubber.   This flexibility  would be advantageous  for
 canals where shifting  of the base or frost-heaving  is a problem.  But,  because  of
 its softness,  damage from  livestock  and similar traffic may  be  a problem.


 77:05G-037
 WATER QUALITY CAN  AFFECT MANAGEMENT  PLANNING,
 Ross,  R.
 Irrigation  Age Magazine.
 Irrigation  Age,  Vol. 12, No.  1,  p 60,63,  September  1977.  1  fig.

 Descriptors:   Sodium,  Salts,  Saline  water,  Soils,  Irrigation, Irrigation effects,
 Irrigation  practices,  Water quality.

 What if  water is carrying a heavy load  of sodium  or other salts?  Over  a period of
 time,  particularly on  a  fine-textured soil,  a  high  concentration of sodium could
 change the  character of  the soil so  that water could no longer  penetrate it,  A
 large  amount of total  salts could cause an  "artificial drouth," High sodium and/
 or  too much  total  salts  are among the primary  reasons that irrigation water which
 may appear  to  be fine  may,  in fact,  be  of poor quality.  And once water quality
 becomes  bad,  you have  what  one  expert we visited  called a  "serious question with
 very few good  answers."


 77:05G-038
 ANNOTATED BIBLIOGRAPHY FOR  WATER QUALITY MANAGEMENT,
 United States  Environmental Protection  Agency, Water Planning Division, 401 M
 Street,  S.W.,  Washington, D.C.   20460.
 Annotated Bibliography for  Water Quality Management, Fourth  Edition,  May 1977,
 p 1-59.

 Descriptors:   Water quality. Water quality  control,  Pollutant  identification,  Agriculture,
 Hydrology, Groundwater,-  Water pollution,  Pollution, Model  studies.
                                             232

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This bibliography has been prepared  to assist those who are engaged in 208  water
quality management.  References  cited have been selected for their applicability
to water quality management  and  for  their availability.  A table of contents ar-
ranging the 226 references has been  included.  Each reference is followed by a
short abstract and, whenever possible, by price and ordering information   Instruc-
tions for using the Government Printing Office, the National Technical Information
Service, and for ordering books  through the EPA Regional offices or the EPA
Water Quality Management Information Center in Washington, D.C,, are included.


77:05G-039
WATER AND ENERGY CONSERVATION THROUGH EFFICIENT IRRIGATION MANAGEMENT,
Stone, L.R.
Kansas State University, Kansas  Water Resources Research Institute,  Manhattan,
Kansas.
Water Resources Research Conducted at Kansas State University and University of
Kansas, Project Completion Report, PB 273 810, August 1977.  15 p, 2 fig, 7 tab,
7 ref.

Descriptors:  Corn, Grain sorghum,  Water use, Use rate, Grain yield, Irrigation,
Soil profiles.

In  a 3-year study, corn  (Zea  mays L.) and grain sorghum  (.Sorghum bicolor (L) Moench)
yield and water use efficiency was evaluated as influenced by irrigation timing.
The study was located at Tribune  (.mean annual rainfall of 17.0 inches) and
Manhattan,  (mean annual rainfall of  33.5 inches) Kansas.  Treatments consisted of
no  in-season irrigation, a  single in-season irrigation at one of three different
growth  stages, and irrigating at each of the three selected growth stages.   Se-
lected  growth stages  in corn were pre-tassel, silk emergence, and blister;  in
grain  sorghum they were boot, half-bloom, and soft-dough.  Each irrigation  was 4
inches  at Manhattan and 6  inches at  Tribune.  All Tribune plots received a  pre-
plant  irrigation in April  of each year.  Water was applied to basin plots using
gated  pipe.  With no  in-season  irrigation, the 3-year mean grain sorghum yields
were greater than corn yields at both Manhattan and Tribune,  The largest 3-year
mean yield  for corn receiving a  single in-season irrigation was obtained with the
irrigation  during silk emergence at  both Manhattan and Tjribune,  Grain sorghum
yields  from the single in-season irrigation treatments were similar and presented
no  single time that tended  to be superior during the three study years.  Corn
responded well to the three  in-season irrigations.  The grain sorghum yield in-
crease  for  plots receiving  three in-season irrigation as opposed to those re-
ceiving only one in-season  irrigation is insufficient to justify the two additional
irrigations.


77:05G-040
CONTROL OF  WATER POLLUTION  FROM  CROPLAND:  VOLUME II -   AN  OVERVIEW,
Stewart, B.A., Woolhiser,  D.A.,  Wischmeir, W,H,, and Caro, J.H.
Agricultural Research Service,  United States Department of Agriculture, Washington,
D.C.   20250.
Publication No. EPA-600/2-75-026,  June 1976.  187 p, 20 fig, 12 tab, 28 ref.

Descriptors:  Runoff, Pesticides,  Nutrients, Nonpoint source pollution. Hydrology,
Sediment control, Erosion,

Engineering and agronomic  techniques to control sediment, nutrient, and pesticide
losses  frrm cropland  are  identified, described, and evaluated.  Methodology is
developed to enable a user  to identify the potential sources of pollutants, select
a list  of appropriate demonstrated controls, and perform economic analyses  for
final  selection of controls. The basic principles on which control of specific
pollutants  is founded are  reviewed,  supplementary information is provided,  and some
of  the  documentation  used  in Volume  I is presented.  Volume I  (Report No. EPA-600/
2-75-026a)  is available from NTIS as report no. PB 249^-517.



CONTRQL°OF  SEDIMENTS, NUTRIENTS, AND ADSORBED BIOCIDES IN SURFACE IRRIGATION RETURN
FLOWS,

SniS's^t;;               'Agriculture, Agricultural Research Service, Western  Region,
Snake  River Conservation Research Center, Kimberly, Idaho  83341.
Publication No. EPA-600/2-76-237,  October 1976.  45 p, 2 fig, 7 tab, 49 ref.
 (See 77:04A-042)


                                            233

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                                 SECTION XXVIII


                           WATER RESOURCES AND PLANNING

                        TECHNIQUES OF PLANNING (GROUP 06A)


77:06A-001
A PROCESS FOR IDENTIFYING, EVALUATING AND IMPLEMENTING SOLUTIONS FOR IRRIGATION
RETURN FLOW PROBLEMS,
Vlachos, E., Barrett, J.W.H., Huszar, P., Layton, J.J., and Radosevich, G.E,
Colorado State University, Department of Sociology, Fort Collins, Colorado  80523.
Proceedings of National Conference on Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado, p 435-445, May 16-19, 1977.
1 fig, 1 tab.

Descriptors:  Technology, Water quality, Water quality control, Return flow,
Pollution, Economics.

The purpose of this study has been to develop an effective process for implementing
technical and institutional solutions to the problem of return flow pollution.
The process developed is to:  (1) define the problem in terms of its legal, physical,
economic and social parameters,  (2) identify potential solutions in relation to the
parameters of the problem,  (3) test the implementability of these potential solu-
tions for diverse situations, and  (4) specify those solutions or groups of solu~
tions which are the most effective in reducing pollution and are implementable.
This process is initially conceptualized in the paper and then the general results
of its application to three study areas in the western United States are suite-
marized.


77:06A-002
SEASONAL AND STOCHASTIC FACTORS IN WATER PLANNING,
Bishop, A.B., and Narayanan, R.
Utah State University, Utah Water Research Laboratory, Logan, Utah.
Journal of the Hydraulics Division, American Society of Civil Engineers, Vol.  103,
No. HY10, p 1159-1172, October 1977.  3 fig, 9 tab, 12 ref.

Descriptors:  Water, Water quality, Irrigation, Model studies, Waste water, Waste
water treatment.

Three contrasting formulations of a water allocation model were developed for  this
study; linear versus nonlinear costs, annual versus seasonal timeframe, and deter-
ministic versus stochastic water supplies.  In general, more information as to
optimal planning configurations was obtained using the more realistic nonlinear,
seasonal-stochastic model.  The seasonal model gives better indication of facility
sizing needed for wastewater treatment and results in overall lower costs than the
annual model does,  This is particularly important in the summer season when large
volumes of secondary treated effluent are used for irrigation.  Because of the
stochastic variability of surface water more dependable, but more expensive, water
sources are indicated in the optimal solution, resulting in higher costs,


77:06A-003
INNOVATIVE MANAGEMENT CONCEPT FOR 208 PLANNING,
Bulkley,  J.W.,  and Gross, T.A,
Michigan University, Department of Civil Engineering and Natural Resources, Ann
Arbor, Michigan.
Journal of the Water Resources Planning and Management Division, American Society
of Civil Engineers,  Vol. 103, No. WR2, p 227-240, November 1977,  4 fig, 16 ref.

Descriptors:   Agriculture, Return flow, Water quality, Water quality control,
Water pollution. Water pollution control.
                                          234

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Area-wide (Section 208} water quality  planning is an ongoing activity in 176  areas
throughout the United States.  A major component of the Section 208 planning  is  the
designation of a management agency  (ies)  to  actually implement the water quality
plans for each 208 area.  For reasons  not dissimilar to water management problem
situations in this country, the English and  Welsh have recently reorganized their
management structure for provision  of  comprehensive water services.  In England  and
Wales the emphasis is a regional approach for comprehensive water resource planning
and management.  Detailed information  has been presented upon one of the new
Regional Water Authorities, the Thames Water Authority.  Criteria have been identi-
fied which should be of use in evaluating alternative management structures in the
context of section 208 management structure  efforts.  These criteria have been
evaluated in a preliminary examination against the present arrangements for pro-
vision of water services in three complex urban areas in the United States; Cleveland,
Chicago, and Detroit.  In addition,  the Thames Water Authority has been assessed
against these criteria.                                 '


77:06A-004
FIELD EVALUATION OF SOME PUBLIC INVOLVEMENT  TECHNIQUES,
Ortolano, L., and Wagner, T.P,
Stanford University, Department of  Civil Engineering, Stanford, California  94305.
Water Resources Bulletin, Vol. 13,  No, 6, p  1131-1139, December 1977,  1 tab,
11 ref.

Descriptors:  Water resources, Water resources development, Water law. Planning,
Public rights.

Public involvement in water resources  planning is receiving much current attention,
and  there is a need to examine systematically how different public involvement
techniques work in practice.  The following  techniques were among those used  to
involve the public in a recent Corps of Engineers' study of flooding on San Pedro
Creek in Pacifica, California:  a public workshop, citizen information bulletins
 (CIBs) and questionnaires.  Interviews were  held with 75 study participants to
evaluate the effectiveness of these techniques.  The interviews indicated that
various study participants felt positively about the particular workshop format
employed and about the use of a communications specialist to train workshop leaders.
There were mixed reactions to the effectiveness of the CIBs and questionnaires.
Although many individual citizens felt that  the CIBs and questionnaires were  use-
ful, some of the Corps planners felt that CIB*s and questionnaires would only be
"cost-effective" on large studies and/or where the questionnaire response rate
wa%  high.


77:06A-005
NEW  REQUIREMENTS FOR LOCAL UNITS OF GOVERNMENT IN WATER RESOURCES PLANNING;   INSIGHTS
FOR  IMPLEMENTATION FROM RECENT WATER RESOURCES PLANNING RESEARCH,
Say, E.W., and Dines, A.J.
E.W. Say & Associates, Incorporated, 9741 Liberty Road, Chelsea, Michigan 48118.
Water Resources Bulletin, Vol. 13,  No. 5, p  907-915, October 1977,  1 fig, 2  tab,
7 ref.

Descriptors:  Water resources, Water resources development, Watersheds, Water law,
Environmental effects, Water  supply, Water allocation (policy).

Recent Federal and some State legislation has enlarged the scope of permitted or
required actions of local units of  government in water resources management and
protection.  Much of the legislation encourages local units of government to  intro-
duce water resources planning measures which will be preventive instead of corrective.
Extensive public works measures, environmental destruction and the threat to  human
life can thus be eliminated or reduced.  Research has developed and tested a  method
for  identifying the elements  of a water resources protection program for small
urbanizing watersheds which was technically  adequate and socially acceptable  to  the
communities implementing such programs.  Research results suggest that deliberate
efforts will be necessary to  inform and educate local units of government as  to  the
usefulness of the legislation; and  that the  program must reflect local natural
resource conditions and local preferences for the method of accomplishing the
protection.  Successful implementation could be restrained by inertia of local
units of government, a lack of tradition in  such programs, and hostile existing
agencies.
                                           235

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77:06A-006
ASSESSMENT OF IRRIGATION RETURN PLOW MODELS,
Walker, W.R.
Colorado State University, Department of Agricultural and Chemical Engineering,
Fort Collins, Colorado   80523.
Publication No. EPA-600/2-76-219,  October 1976.  75 p, 4 fig, 11 ref, 7 append.

Descriptors:   Return flow, Water quality, Model studies, Soils, Aquifer systems.
Crops, Application methods, Irrigation, Salinity, Mathematical models, Soil
chemistry, Water consumption, Drainage, Leaching.

Throughout the Western United States irrigation return flows contribute to the
problem of water quality degradation.  Evaluating the effectiveness of alternative
management strategies involves models which simulate the processes encompassed by
irrigated agriculture.  The development and application of these models require
multidisciplinary expertise.  A workshop involving 15 specialists in the varied
aspects of irrigation return flow modeling was held to review the status of these
models.  Irrigation return flow and conjunctive use models recently developed by
the Bureau of Reclamation served as focal points for the workshop.  As the field
verification and potential applications of these models were discussed, several
general problems were identified where further investigation is needed.  Particular
emphasis was given to the description of the spatially varied aspects of soil, crop,
and aquifer systems, and the proper alignment of model objectives with available
data.  The large number and diversity of existing models illustrate the individualis-
tic nature of irrigation return flow modeling.  In order to affect more wide-
spread utilization of existing models, a systematic procedure should be developed
to update and disseminate this modeling technology.
                                        236

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                                SECTION XXIX


                           WATER RESOURCES  PLANNING

                        EVALUATION PROCESS  (GROUP  06B)


77:066-001
PUBLIC PARTICIPATION IN WATER RESOURCE DEVELOPMENT,
Silberman, E,
Minnesota University, Saint Anthony Falls Hydrology  Laboratory, Minneapolis,
Minnesota.
Journal of the Water Resources Planning and Management Division, Proceedings
of the American Society of Civil Engineers, Vol. 103, No, WR1, Proceedinqs Paper
No. 12952, p 111-123, May 1977.  15 ref.

Descriptors:  *Water resources development, *Social  participation, *Public benefits,
Planning, Social needs, Flood control, Minnesota.

The objectives of a public participation program should be to assure that planners
and public have similar concepts of what the  problems are and that the proposed solu-
tions are perceived as solutions by both planners  and public.  Elements of a public
participation program are identifying the public,  reaching the public, and deter-
mining what the public wishes are.  These elements are analyzed by recounting the
experience of the Bassett Creek Flood Control Commission in establishing a flood
control plan for an urbanized and urbanizing  area  in Minneapolis metropolitan area.
The Commission is composed of nine volunteer  commissioners, one appointed by each
of the nine cities in the basin.  The Commission  (with the aid of its consulting
engineers) was very effective in melding bureaucratic and public input into an
acceptable plan where a previous plan prepared under the auspices of a bureaucratic
organization was practically shouted down.


77:066-002
WATER RESOURCES PLANNING AND MANAGEMENT GOALS,
Gaum, C.H.
Corps of Engineers, Central Reports Management Branch, Washington, D,C.
Journal of the Water Resources Planning and Management Division, Proceedings of
the Society of Civil Engineers, Vol. 103, No. WR1, Proceedings Paper No. 12941,
p 73-82, May 1977.  2 fig, 4 tab.

Descriptors:  *Planning, *Decision making,  *Priorities, *Management, Water resources
development, Water management  (.applied), Environmental effects, Regions, Projects.

The goal of water resources planning and management  is to utilize water related
sources for national economic gain, regional  development, enhancement of the
environment, and the provision of social betterment.  It must be recognized that
because of great demands, the resources, including dollars, must be economically
managed.  Only those projects having high justification will be placed in the
budget cycle for implementation.  Water resources  planners must develop new tech-
niques to shorten the time required to plan and foreset priorities.  They must
improve reporting methods and present all relevant factors.  By doing so, they
will be playing a more decisive role in the decision-making process.
                                           237

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                                   SECTION XXX


                           WATER RESOURCES PLANNING

         COST ALLOCATION,  COST SHARING,  PRICING/REPAYMENT (GROUP O6C)


77:06C-001
CENTER PIVOTS:  FINANCING  OR LEASING?
LoBello, A.J,
C.I.T." Corporation,  National Marketing Division.
Irrigation Journal,  Vol.  27, No, 4, p 16-17,  July-August, 1977.  1 fig, 1 tab.

Descriptors;  Irrigation,  Irrigation systems, Sprinkler irrigation, Economics,
Financing, Leases,

Center pivot systems are the £astest-growing  sector of the irrigation equipment
market.  Of the two  million acres coming under  irrigation each year, it is esti-
mated that 60% now are center pivot, with the market growing about 15% each year.
At that rate, center pivot can be expected to constitute up to half of the sy-
stems in the United  States in future years, and a total of some 50 million acres
will come under this type  of irrigation.  Center pivot systems currently run
from $30,000 to $60,000 per unit.  So, next to  the right irrigation system for
his needs, the ability to  offer a customer the  best financing package is one of
the most important marketing tools a dealer has,


77:06C-002
WHICH METHOD IS BEST FOR YOU?:  IRRIGATION COSTS,
Water and Irrigation, p 12-13, 24-25, November  1977,  3 fig, 2 tab,

Descriptors:  Irrigation systems, Irrigation  practices, Economics, Cost analysis,
Cost comparisons,  Costs, Furrow irrigation, Sprinkler irrigation, Surface ir-
rigation.

One of the most persistent questions in the minds of farmers who are considering
changing their method of irrigation, is "What will it cost?"  The Cooperative
Extension Service  of the University of California assigned several of its experts
to provide a perspective on irrigation costs  in California,
                                       238

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                                  SECTION XXXI


                           WATER RESOURCES  PLANNING

                           WATER DEMAND  (GROUP  06D)


77:060-001
ARID AND SEMI-ARID LANDS:  PROBLEMS AND  PROSPECTS,
Kassas, M.
Cairo University, Department of Science, Giza,  Egypt.
Agro-Ecosystems, Vol. 3, No. 3, p 185-204,  June 1977.   23 ref.

Descriptors:  Deserts, Arid lands, Water, Climates, Agriculture, Semiarid
climates, Population.

A survey of the world's deserts and processes of desertification identifies those
that are strictly due to physical factors and those that are anthropogenic.
Areas of potential useful study are identified:  Improved climate, climatic re-
search and monitoring, improvement of arid  zone cultivars, improved techniques
of decision-making about land use.  Warnings are given  of the dangers of over-
intensification of agricultural systems  and of  increasing population density
in arid zones.  Research areas suitable  for international cooperation are
outlined.


77:060-002
ANALYSIS OF WATER REQUIREMENTS FOR AGRICULTURAL IRRIGATION IN PENNSYLVANIA,
Kibler, D.F., Fritton, D.D., White, E.L., Trotter, R.J., and Tandy, D,F.
The Pennsylvania State University, Institute for Research on Land and Water
Resources, University Park, Pennsylvania  16802,
Bureau of Resources Programming, Research Publication 99, September 1977,  228 p,
28 fig, 35 tab, 6 ref.

Descriptors:  Irrigation, Crop production,  Climates, Irrigation water, Crops,
Application methods, Soil moisture. Hydrology,  Water demand.

In any study which seeks to project the  irrigation water needs for an area, it is
important to identify the crops which are likely to be  irrigated.  Of course, all
crops would be listed if the area were located  in a desert.  In a humid region
like Pennsylvania, the decision is not as straightforward.  In this report, the
objective is to identify the crops which are likely to  be irrigated under
Pennsylvania's climatic conditions.  The decisions in this chapter are made on
the basis of the historical use of irrigation research  experiments and other
carefully documented investigations which apply.  The attempt is to base decisions
on documented yield increases of a crop under irrigated conditions when compared to
yields produced by natural rainfall,  Whether these yield increases would pay for
an irrigation system is beyond the realm of this study.
                                         239

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                                  SECTION XXXII


                           WATER RESOURCES PLANNING

                    WATER LAW AND INSTITUTIONS (GROUP O6E)


77:06E-001
A VALLEY -  WIDE SOLUTION,
Beck, L.A.
San Joaquin Valley Interagency Drainage Program,  Fresno, California.
Proceedings of National Conference on Irrigation  Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado,  p 297-298, May 16-19, 1977,

Descriptors:  Drainage practices, California,  Return flow.

The San Joaquin Valley Interagency Drainage Program (IDP)  is an action-oriented
program with objectives including:  1)  coordination of the  on-going drainage
water management activities of the cooperating agencies (USER, SWRCB, and DWR);
2) development of alternative plans for managing  the drainage waters; 3) determi-
nation of potential uses for drainage waters;  4)  development of a recommended
plan for managing drainage waters; and 5)  recommending ways to finance drainage
facilities.


77:06E-002
THE 1973 AGREEMENT ON COLORADO RIVER SALINITY  BETWEEN THE UNITED STATES AND MEXICO,
Holburt, M.B.
Colorado River Board of California, Los Angeles,  California.
Proceedings of National Conference on Irrigation  Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado,  p 325-333, May 16-19, 1977,
1 fig.

Descriptors:  Water quality, Water quality control, Colorado River, Salinity,
Mexico.

The background of the conflict between the United States and Mexico over the salinity
of the Colorado River water delivered to Mexico,  the early  attempts to resolve the
conflict, the meetings and negotiations that led  to the latest agreements, a descrip-
tion of the agreement, the legislation that implements that agreement, and necessary
future actions are presented.


77:.06E-003
THE EPA GENERAL PERMIT PROGRAM,
Anderson, K.
United States Environmental Protection Agency, Washington,  D.C,
Proceedings of National Conference on Irrigation  Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado,  p 397-404, May 16-19, 1977.

Descriptors:  Agriculture, Water quality, Water quality control. Irrigation, Return
flow.

The Environmental Protection Agency (EPA)  has  developed a General Permit Program
under the National Pollutant Discharge Elimination System  (NPDES) which applies
to both separate storm sewers and agricultural point sources  (irrigation return
flow conveyances),   The proposed rules for this general permit program were printed
in the Federal Register, Vol. 42, No. 24, February 4, 1977.  This paper provides
a guide as to how the General Permit Program is intended to function,
                                          240

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77:06E-004
INTERFACE OP WATER QUANTITY AND  QUALITY LAWS IN THE WEST
Radosevich, G.E.                                         '
Colorado State University, Department of Economics, Fort Collins,  Colorado
80523•
Proceedings of National Conference  on Irrigation Return Flow Quality Management,
Colorado State University, Fort  Collins, Colorado,  p 405-422,  May  16-19.  1977.
1 t3.t> *

Descriptors:  Water law, Water pollution, Agriculture,  Return flow,  Water quality,
Water qualxty control, Water  resources, Water rights,  Irrigation.

Water pollution from  irrigated agriculture in the West  has received  major attention
during the past five  years, primarily as a result of federal and state  endeavors
to identify irrigation return flow  quality problems and to develop a viable
control strategy.  The national  goal of "cleaner water" emerged as a result of the
deterioration of water quality by degraded discharges  from various sources.  The
key to irrigated agricultural return flow quality control  is proper  utilization
and managment of the  resource itself, and an accepted  tool in our  society is the
law.  By legal classification, it is divided into laws  for quantity  control and
laws for quality control.  The laws on water quality control are recent,  relatively
uniform between states and with  little exception, constrain improvement of return
flows from irrigated  agriculture.  Unfortunately, in most  others,  they  cannot really
be said to facilitate this consequence either.  The laws pertaining  to  water re-
sources quantity control and  management are complex, voluminous, inconsistent and
lack uniformity among the  17  states of the West.


77:06E-005
AN INFLUENT CONTROL APPROACH  TO  IRRIGATION RETURN FLOW  QUALITY MANAGEMENT,
Radosevich, G.E.,  and Skogerboe, G,V.
Colorado State University, Department of Economics, Fort Collins,  Colorado  80523.
Proceedings of National Conference  on Irrigation Return Flow Quality Management,
Colorado State University, Fort  Collins, Colorado,  p 423-434,  May  16-19,  1977.
5 fig.

Descriptors:  Water quality control, Agriculture, Water quality, Irrigation,
Return flow. Water rights.

The Influent Control  Approach is based upon the assumption that improved  water
management plus improved agricultural practices will significantly contribute to
improved water quality, and the  conclusion that best management practices plus
best agricultural  practices will provide irrigation return flow quality control,
which in turn will contribute significantly to the national goal of  cleaner water
through improved water quality.   The Influent Control Approach consists of eight
specific components:   (1)  designate areas for irrigation return flow quality
management and designate the  responsible area entity;  (2)  develop  standards and
criteria for beneficial use in designated areas; (.3) introduce incentives to use
water more efficiently;  (4) include the element of water quality in  new or trans-
ferred and changed water rights; (5) adopt and enforce  a reporting and  recording
system for water rights;  (6)  recognize reasonable degradation from agricultural
water use; and  (7) adopt an Agricultural Practices Act; and (..8)  promote close
cooperation or integration of state water agencies and  related functions.


77:06E-006
ECONOMIC IMPACTS OF ADMINISTRATIVE  WATER LAW SYSTEMS,
Kiker,  C.P.E., and Lynne,  G.D.                                   .
Florida University, Department of Food and Resource Economics,  Gainesville,
Florida.                                                            •   -, ^   T
Presented at the 1977 Annual  Meeting of the American Society of  Agricultural
Engineers, June 26-29, 1977,  Raleigh,  North Carolina, North Carolina  State
University, p 1-22.   20 ref,  13  equ.

Descriptors:  Legal aspects,  Legislation, Water law, Economics,

There is a move to administrative regulation of water in th« e^™  states
Economic efficiency is largely being ignored in allocation of  P™te entitle
ments to water.  Several allocation alternatives that include  economic  criteria
are examined.
                                          241

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77:06E-007
SOIL EROSION AND SEDIMENTATION:  ANALYSIS OF APPLICABLE LAW,
Walker, W.R., and Cox, W.E.
Virginia Water Resources Research Center, Blacksburg, Virginia.
Presented at the Annual Meeting, American Society of Agricultural Engineers,
June 26-29, 1977, Raleigh, North Carolina, North Carolina State University,
p 1-12.  16 ref.

Descriptors:  Soil erosion, Erosion, Sedimentation, Legislation, Legal aspects.

Law applicable to activities that increase erosion and sedimentation exists  in a
variety of forms.  The trend in the development of such law has been toward  an
expansion in scope of activities encompassed and an increase in the degree of
legal accountability imposed for resulting injury.


77:06E-008
EXPERIENCE WITH THE 303-208-201 STUDY RELATIONSHIPS,
Dobrowolski, F.r and Grillo, L.
Clinton Bogert Associates, Fort Lee, New Jersey  07024.
Water Resources Bulletin, Vol. 13, No. 3, p 455-460, June 1977.

Descriptors:  New Jersey, Municipal water, Water quality, Water quality control,
Water pollution, Water quality standards, Water resources.

The current  201 study by the Bergen County Sewer Authority illustrates possibilities
for improving the currently defined relationships between 201, 208 and 303 studies,
The Bergen County Sewer Authority serves 115 square miles in northeast New Jersey,
providing  sewerage service to 507,000 people in 43 municipalities.  Its STP  dis-
charges to the Hackensack River, a tidal estuary recently classified as Water Quality
Limited, and which receives significant nonplant loading.  The subject 201 study is
concurrent with 208 and 303 planning by NJDEP,  Preliminary evaluations show that
detailed 201 work can affect the conclusions of 303 and 208 studies, and that a
wider  (environmental-social as well as economic) interpretation of cost-effectiveness
can demand reexamination of prior assumptions and decisions, a task not typically
part of 208-303 work.


77:06E-009
INVESTOR OWNED VS. PUBLICLY OWNED WATER AGENCIES;  AN EVALUATION OF THE PROPERTY
RIGHTS THEORY OF THE FIRM,
Morgan, W.D.
California University, Department of Economics, Santa Barbara, California  93106,
Water Resources Bulletin, Vol. 13, No. 4, p 775-781, August 1977.  2 tab, 8  ref,
1 equ.

Descriptors:  Water, Water resources, Water law, Water costs, Water allocation
(policy).

The property rights theory of the firm is evaluated by comparing the cost structures
of a sample of water agencies under two alternative modes of ownership -  public
and investor owned.  On the basis of the sample, investor owned water agencies appear
to have lower cost structures.


77:06E-010
DEVELOPING COMPETITION FOR WATER IN THE URBANIZING AREAS OF COLORADO,
Anderson, R.L.,  and Wengert, N.I.
Colorado State University, Department of Economics, Fort Collins, Colorado   80523.
Water Resources Bulletin, Vol. 13, No. 4, p 769-773, August 1977.  2 tab, 1  ref.

Descriptors:  Colorado, Water resources, Water allocation (.policy), Irrigation
water,  Agriculture, Municipal water, Water supplies.

Rapid population growth in the metropolitan area of Denver, Colorado, is causing
conflicts over water use.  Two cities, Thornton and Westminster, have begun
condemnation proceedings against three irrigation companies to secure agricultural
water rights for municipal use.  This is the first condemnation proceeding against
irrigation water rights for municipal use.  Should the suit succeed, over 30,000
                                         242

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acres of presently irrigated  land  will  lose its water supply.   There  are  about
four hundred landowners  in  the  area;  two hundred of these are  cornierical  farmers
including truck, dairy and  specialty  farms.  Total agricultural production  amounts
to about $8 million per  year.   About  561 jobs related to agriculture  will dis-
sappear along with about $4 million in  net income.


77:06E-011
WATER RIGHTS, EMINENT DOMAIN, AND  THE PUBLIC TRUST,
Radosevich, G.E., and Sabey,  M.B.
Colorado State University,  Department of Economics, Fort Collins,  Colorado   80521
Water Resources Bulletin, Vol.  13, No,  4, p 747-757, August 1977.   12 ref.

Descriptors:  Water law, Water  resources, Water allocation (policy),  Agriculture,
Colorado, Municipal water,  Irrigation water.

Faced with the necessity of meeting growing municipal water requirements  in areas
where available supplies are  completely allocated, numerous cities throughout the
West are turning to their eminent  domain powers to affect a reallocation  of water
from less preferred uses to municipal uses, thus bringing about a  sharp conflict
with agricultural interests.  As a basis for discussing these  eminent domain powers,
this paper begins with  a brief  review of the development of property  rights.  The
existence of both private and public  (social) rights in the "bundle of rights1' is
noted. .  In recent years  the Public Trust Doctrine has been used to limit  private
rights in property, and  to  protect and  strengthen social rights,   A case  study
which focuses on a conflict between individual and social interests in water rights
is  discussed.  This case involves  the City of Thorton, Colorado which initiated
municipal condemnation  proceedings to acquire the water rights and structures of
two nearby irrigation companies.  The case represents an attempt to incorporate the
spirit of the Public Trust  Doctrine into legislation which sets forth procedures
for resolution of similar water rights  conflicts that will inevitably become more
numerous throughout the  West in the future,


77:06E-012
IRRIGATION TECHNOLOGY AND AGRICULTURE PRODUCTION,
Logan, D.
Western  Empire Corporation, Irrigon,  Oregon.
Proceedings  of the  1977  Annual  Technical Conference, Irrigation For All Reasons,
p 178-180, February 13-15,  1977.

Descriptors:   Irrigation, Irrigation  practices, Irrigation effects, Agriculture,
Crop production,  Oregon,

An irrigation  farmer  elaborates on his  views of irrigated agricultural develop-
ment and irrigation technology.


 77:06E-013
WINTER'S DOCTRINE:  A  REVIEW,
Bird, J.W.
Nevada University,  Department of Civil  Engineering, Reno, Nevada.
Journal  of the  Irrigation and Drainage  Division, Vol. 103, No, IR4, p 395-400,
December 1977.   9 ref,  1 append.

Descriptors:  Appropriation,  Beneficial use, Federal government. State government,
Water law, Water  rights.

The western  states  are  areas of short water supply.  In general, they apply the
water law doctrine  of  appropriation that relates a water right to  the time  or
date that the  right  started.   The Federal government has applied for  wat«  rights
at a much later  time,  but with an early appropriation, date.  Th«  «°"Jd |^eb^
Federal  agencies  priority over  the existing water users, many °f£hich have been
beneficially using  the  water for years,  Since the Federal agencies Wrently
have decided,  through  the courts,  their ability to act unilaterally in this matter,
it is apparent that'guidance from the Congress is £«£^gnJ^S %ES water
Otherwise the  state's  water laws shall  be greatly weaxenea, a.   y
planning and policy.
                                          243

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77:06E-014
ON THE ALLOCATION OF PRIME AGRICULTURAL LAND,
Gibson, J.A.
Harza Engineering Company, Department of Economics, 150 South Wacker Drive,
Chicago, Illinois  60606.
Journal of Soil and Water  Conservation, Vol.  32, No, 6, p 271-275, November-
December, 1977.  27 ref.

Descriptors:   Land, Land  classification, Land development, Land management, Land
resources, Land use, Agriculture,  Environment, Environmental control, Economics,
Urbanization.

How land is used in the future likely will vary considerably from how land should
be used according to economic theory.  Asymmetry characterizes the effectiveness
and efficiency of our system of economic incentives.  A major part of land use is
formed by the  sum of many  individual  local actions.  The present market system
stimulates the exploitation of land resources very well, but it fails almost com-
pletely with  respect to preservation.  For example, climate, topography, and soils
exert all-important effects upon the  use of land for agricultural purposes.  The
location factor is of little significance for agriculture in the absence of a
suitable physical base.

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                                 SECTION  XXIII


                                 RESOURCES  DATA

                          DATA ACQUISITION  (GROUP 07B)


77:07B-001
AN EVALUATION OF SOME FLUORESCENT  DYES  FOR  WATER TRACING
Smart, P.L., and Laidlaw, I.M.S.
Bristol University, Department of  Geography,  (England).
Water Resources Research, Vol. 13,  No.  1, p 15-33,  February 1977.   19  fig, 11 tab,
77 ref.

Descriptors:  *Fluorescent dye,  *Water  chemistry, *Tracers, *Dyes,  Water, Amino
acids, Rhodamine, Laboratory  tests,  Toxicity,  Filters,  On-site  tests.

Eight fluorescent dyes  (ainino G  acid, photine  CU, fluorescein,  lissamine FF, py-
ranine, rhodamine B, rhodamine WT,  and  Sulpho  rhodamine  B)  were compared in labora-
tory and field experiments to assess their  utility in quantitative  tracing work.
The properties considered included sensitivity and minimum  detectability, the ef-
fect of water chemistry on dye fluorescence, photochemical  and  biological decay
rates, adsorption losses on equipment and sediments,  toxicity to man and aquatic
organisms, and cost.  The orange fluorescent dyes are more  useful than the blue
and green dyes because of the lower background fluorescence at  the  orange wave
band, which permits higher sensitivities  to be obtained.  Pyranine  fluorescence
is strongly affected by pH over  the range encountered in natural waters, which pre-
cludes its simple use in quantitative work. Amino G  acid,  photine  CU, pyranine,
and fluorescein all have high photochemical decay rates.  Pyranine, lissamine FF,
and amino G acid are the dyes most resistant to adsorption, but rhodamine WT,
fluorescein, and sulpho rhodamine  B also  have  moderately high resistance.  Rhodamine
B is readily adsorbed by most materials.  Rhodamine WT  (orange), lissamine FF
(green), and amino acid. G acid  (blue) are the  three tracer  dyes recommended.  These
3 dyes can be used simultaneously  to trace  three injection  sites with the filter
combinations suggested.


77:07B-002
TWO NEW METHODS FOR OBTAINING WATER SAMPLES FROM SHALLOW AQUIFERS AND LITTORAL
SEDIMENTS,
John, P.H., Lock, M.A., and Gibbs, M.M.
Department of Scientific and  Industrial Research, Ecology Division; and Department
of Scientific and Industrial  Research,  Freshwater Section,  Taupo (New  Zealand).
Journal of Environmental Quality,  Vol,  6, No.  3, p 322-324, July-September, 1977.
5 fig, 6 ref.

Descriptors:  *Water sampling, *Aquifers, *Sediments, *Littoral, Groundwater,_
Methodology, Instrumentation, Monitoring, Geochemistry,  Wellpoints, Plastic pipes,
Water table. Nutrients, Foreign  research.

Two sampling techniques were  developed  which enable groundwater samples to be ob-
tained from various depths within  shallow aquifers and  littoral sediments   Both
techniques involve the  insertion of a percussion-driven  spike to the desired depth.
One method employs a sampling probe consisting of a perforated  tip  and a mechanism
for the prevention of blockage by  grit  during  the driving Process,  «^h  **^
being withdrawn through an internal plastic tube.  The  other technique ^olves
permanent installation of a perforated  plastic tubing.   Som^^a^^"°fdChe^C^s
data obtained during extensive testing  of these tecf^ues  were presented investi-
concluded that the techniques could have  considerable application in the investi
gation of shallow groundwater and  littoral  sediment chemistry,



77:07B-003                       r^mar  w  nTPPFRFNCE AND  15N A-VALUES IN  LYSIMETERS,
CLOVER N-FIXATION MEASUREMENT BY TOTAL-N  DIFFERENCE AWU
Williams, W.A., Jones, M.B.,  and Delwiche,  C.C.

                                          245

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California University,  Department of Agronomy, Davis, California.
Agronomy Journal,  Vol.  69, No.  6, p 1023-1024, November-December, 1977.  1  fig,
1 tab, 6 ref.

Descriptors:  Nitrogen, Legumes, Leaching, Lysimeters, Clovers, California, Crop
production, Crop response.

Assessment and improvement of N fixation by legumes on annual-type range is be-
coming increasingly important in  light  of the increasing need for energy conserva-
tion.  A comparison was made of two methods of assessing N fixation:  a  simple but
crude method by measuring the total-N difference in tops of an N-fixing  legume and
a non N-fixing grass, and a more expensive method using A-values determined from
15N applications to the same legume and grass species.  Subterranean clover and
soft chess grass were grown in field lysimeters (69 cm deep by 36 cm diam.) filled
with Josephine loam  (Typic Haplozerults, fine loamy, mixed mesic) for 3 years.
Single  (100 and 500 kg/ha) and repeated (100 kg/ha) applications "of 15N were made
and determinations were made of soil and fertilizer N in the plants, soil, and
leachate periodically.   The relation between the two methods was strongly linear;
fixation  (kg/ha) by the A-value method = 50.1 + 0.852 N fixation by difference
 (r =  0.98, n = 15).  Consequently, previous values cited for N fixation measured
by the difference method for winter annual legumes in California may have been
underestimated by about 40%.


77:07B-004
EVALUATION OF A WATER ANALYSIS KIT,
Boyd, C.E.
Auburn University, Department of Fisheries and Allied Aquaculture, Auburn, Alabama
36830.
Journal of Environmental Quality, Vol.  6, No. 4, p 381-384, October-December, 1977.
3 tab,  10 ref.

Descriptors:  Laboratory tests. Laboratory equipment, Water analysis. Water chemistry,
Water pollution. Water pollution control, Water quality, Water quality control,

A Hach DR-EL/2 Direct Reading Engineer's Laboratory Kit was evaluated by comparison
to standard analytical methods.  Results of Hach kit methods were highly correlated
with  concentrations of standard solutions.  The y-intercepts  (a) did not differ from
0 for most methods, but for 11 methods regression coefficients  (b) differed from 1.0.
For each of the 20 parameters, three natural water samples were analyzed seven times
by Hach kit and by the standard method.  Mean values obtained by the two analytical
systems were usually significantly different and the standard method sometimes gave
higlec precision than the  Hach  kit.   Nevertheless,  the  Hach kit usually  gave close
approximations of values obtained by standard methods.  Comparisons also included
analyses of a large series of natural water samples.  Correlation coefficients bet-
ween Hach kit and standard methods were often greater than 0,00,  Although a = 0
for 14 methods, b = 1.0 for only 8 methods.  Reliability of the Hach kit was adequate
for general surveys of water quality, fisheries management decisions, and research
requiring only approximate data on water quality.


77:076-005
INTEGRATED AUTOMATIC WATER SAMPLE COLLECTION SYSTEM,
Fisher, P.D., and Siebert, J.E.
Michigan State University, Department of Electrical Engineering and Systems Science,
East Lansing, Michigan.
Journal of the Environmental Engineering Division, American Society of Civil Engineers,
Vol.  103, No. EE4, p 725-728, August 1977,  3 fig.

Descriptors:  *Water sampling, *Data collections, *Equipment, Stream gages, Sampling,
Water chemistry. Water pollution, Hydrologic data, Automation, Electrical equipment,
Electronic equipment, Hy.drographs, Hydrology.

Reported in this paper were the organizations, operation,  and utility of an automatic
water sample collection, a modified hydrographic recorder, and a specially  designed
auxiliary electronic controller.  The integrated water sampling  system expands the
normal operating capabilities of the conventional automatic water sampler and hydro-
graphic recorder.
                                          246

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77:07B-006
               FOUR-ELECTRODE CONDUCTIVITY  RELATIONSHIPS FOR SOILS  OF THE  NORTHERN
           o /
Halvorson, A.D., Rhoades, J.D.,  and  Reule,  C.A.
United States Department of Agriculture— Agricultural Research Service,  Department
of Soil Science, Post Office Box 1109,  Sidney,  Montana  59270
f°i* Science Society of America  Journal, Vol.  41,  No. 5, p 966-971,  September-October,
1977.  4 fig, 5 tab, 12 ref.

Descriptors:  Soils, Soil investigations,  Salinity,  Saline soils, Soil textures
Electrical conductance, Clays, Soil  water,  Soil moisture.                      '

Influence of soil texture, soil  geographic  location  and parent material, and calibra-
tion method on the linear ECe-ECa relationship was investigated.  Linear regression
relationships between saturation extract electrical  conductivity  (.ECe)  and bulk soil
electrical conductivity  (ECa) as measured  by the four-electrode technique  was developed
for northern Great Plains soils.  Most  correlation coefficients (r)  exceeded 0.95 and
all were significant at the  0.01 probability level.   Geographic location had little
effect on the ECe vs. ECa relationship; therefore, an ECe vs. ECa calibration made
for a soil textural class at one location  will apply to another location having a
similar range in soil water, clay content,  and salinity.  Clay content affected
linear regression line slopes more than did other factors investigated.  Regression
slopes varied from 3.06 for  a clay to 12.99 for a loamy sand over the clay concen-
tration "range of 63.0 to  6.5 percent, respectively.   To minimize adverse effects
caused by natural variation  in soil  texture, water content,  and salinity when making
field ECe vs. ECa calibrations,  we suggest artificial salinization  of columns of
the soil type in question, which will permit subsequent analysis of  the  soil by
either the cell or EC-probe  calibration method.


77:07B-007
A LABORATORY TECHNIQUE FOR APPRAISING IN SITU SALINITY OF SOIL,
Mubarak, A. , and Olsen, R.A.
Montana State University, Department of Chemistry, Bozeman,  Montana.
Soil Science Society of America  Journal, Vol.  41,  No. 5, p 1018-1020, September-
October,  1977.  2 fig, 2  tab,  14 ref.
TSee 77:02G-083)


77:07B-003
GAS CHROMATOGRAPHIC ANALYSIS OF  SOIL ATMOSPHERES,
Blackmer, A.M. , and Bremner, J.M.
Iowa State University, Department of Agronomy, Ames, Iowa  50011,
Soil Science Society of America  Journal, Vol.  41,  No, 5, p 908-912,  September-
October,  1977-  4 fig, 2  tab,  25 ref.

Descriptors:  Sampling, Soil  investigations, Soils,  Soil environment, Soil properties,
Soil tests.

A gas chromatographic procedure  is described that permits rapid, specific,  and precise
determination of N2 , 02,  Ar, C02 , CH4 ,  N20, and other gases  in soil  atmospheres.  It
involves  use of an ultrasonic  detector and two columns of Porapak Q  at different
temperatures, and it does not  require temperature programming, column conditioning,
stream splitting, column  switching,  or switching of  recorder polarity.   Unlike thermal
conductivity and helium ionization detectors previously used for gas  chromatographic
analysis  of  soil atmospheres,  the ultrasonic detector is not adversely affected by
gases found  in  soil atmospheres.
 A COMPARISON OF DETERMINISTIC MATHEMATICAL WATERSHED MODELS,
                                                     Effects Laboratory,  Vicksburg,
 Prnted    the 1977 Annual Meeting, American Society of
 June  26-29,  1977,  Raleigh, North Carolina, North Carolina State University,  p  i
 10 fig,  3 tab,  13  ref, 1 append.

 Descriptors:   Simulation analysis. Model studies, Watershed management,  Watersheds
 (basins) .
                                            247

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Hydrocomp,  SWM,  SSARR,  HEC-1 and United States Department of Agriculture-HL75 were
reviewed using input data from the Caddo River drainage basin for mathematical
simulation comparisons.  The attributes of each model are presented permitting  the
selection of a model most appropriate for a specific application to chemical wash-
off algorithms.


77:078-010
IRRIGATION RETURN FLOW MODELING—A STATE OF THE ART,
Walker, W.R.
Colorado State University, Department of Agricultural and Chemical Engineering,
Fort Collins, Colorado  80523.
Presented at the 1977 Winter Meeting of the American Society of Agricultural
Engineers, December 13-16, 1977,  Palmer House, Chicago, Illinois, p 1-18.  4 tab,
54 ref.

Descriptors:  Return flow, Model studies, Simulation analysis, Computer programs,
Groundwater, Nitrogen, Irrigation, Irrigation effects.

Forty-three models which have been developed and tested for simulation of irrigation
return  flow systems have been collected and evaluated.  This paper discusses what
seems to be some of the more critical problems in using these models, the relative
strengths of those existing, and important research and development needs for
maximizing their utilization in the future.


77:07B-011
RAINFALL SIMULATOR FOR EVALUATING EROSION RATES AND SEDIMENT SIZES FROM ROW
SIDESLOPES,
Meyer,  L.D., and Harmon, W.C.
United  States Department of Agriculture Sedimentation Laboratory, Department of
Agricultural Engineering, Oxford, Mississippi.
Presented at the 1977 Annual Meeting, American Society of Agricultural Engineers,
June 26-29, 1977, Raleigh, North Carolina, North Carolina State University, p 1-12,
9  fig,  8 ref.

Descriptors:  Rainfall, Simulation analysis, Rainfall simulators, Runoff, Erosion,
Sediments, Sedimentation, Soil erosion,

A  new rainfall simulator was developed for obtaining data on row-sideslope runoff,
erosion, and sediment size.  It can apply a wide range of intensities at impact
energies comparable to those of natural rainfall.  Design features, simulated-
rainfall characteristics, and example data are reported.


77:07B-012
A  NEW APPROACH TO DETERMINATION OF CATION EXCHANGE CAPACITY,
Fernando, M.J., Burau, R.G., and Arulanandan, K,
California University, Davis, California,
Soil Science Society of America Journal, Vol. 41, No, 4, p 818-820. July^-August,
1977.   3 fig, 2 tab, 8 ref.

Descriptors:  Sampling, Laboratory tests, Cation exchange, Soils, Soil texture,
Soil investigations, Soil properties.

The dielectric dispersion defined as the difference in the dielectric constant  of
a  sample measured at 3,000,000 HZ and at 75,000,000 HZ, was linearly related to
CEC of  the sample.   One linear relationship between dielectric dispersion and CEC
was obtained for clay-silica flour mixtures where CEC was varied by changing the
proportion of clay in the sample as well as by using clays with different CEC  (kaoli-
nite, illite, montmorillonite).  A second linear relationship, with somewhat dif-
ferent  slope, was obtained between the dielectric dispersion and the CEC of natural
soil samples.


77:076-013
CORRECTING TURBIDITY INTERFERENCE IN THE DETERMINATION OF PHOSPHORUS,
Folsom, B.L., Jr.,  Sunderman, H.D., and Hossmer, L,R.
Texas Agricultural  Experiment Station, College Station, Texas.
                                          243

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                                               "'  N°-  4'  P 823-824'  July-

Descriptors:  Phosphorus, Ammonium,  Turbidity,  Sampling,  Laboratory  tests.

Turbidity caused severe  interference in the presence of excess  ammonium when
determining phosphorus by the  method of Murphy and Riley.  The  precipitated com-
inea ratio^f^ f"?  .Tn  ?? ^ C°^osedKof ™4 < + > '  antimony,  P, and  molybdenum
in a ratio of 115. 8 : 1 . 5 : 1 . 0 :11 . 6 .  The combination of  Sb  and NH4 ( + )  in  solution
during color development caused the turbidity interference.   The turbidity could
be eliminated by raising the pH above 8.2 with NaOH and boiling to drive off
NH4(+) as NH3 gas prior  to color development or by substituting heat for Sb to
develop the characteristic molybdenum blue color.


77:07B-014
PHOTOSYNTHESIS OF SUGARBEETS UNDER N AND P STRESS:  FIELD MEASUREMENTS  AND CARBON
BALANCE ,
Gary, J.W.
Snake River Conservation Research Center, Department of Soil Science, Kimberlv
Idaho  83341.                                                        '         '
Agronomy Journal, Vol.  69, No. 5, p 739-744. September-October,  1977.   7 fig,
1 tab, 10 ref.

Descriptors:  Crop  production, Photosynthesis,  Sugar beets,  Phosphorus, Nitrogen,
Carbon, Crop response,  Nutrients, Fertilizers,  Fertilization,

Advances in crop management  are limited by inability to recognize changes in
growth resulting  from short-term fluctuations in plant environment.   Simple,
rapid, and nondestructive methods are needed to indicate  daily  and hourly rates
of growth under field conditions.  Because plant carbon balance  is one  possible
approach to this  problem, CO2  gas exchange parameters  were measured  on  Beta vul-
garis leaves of field-grown  plants to learn whether or not they  might signal the
onset of nitrogen  and P stresses.  The sugarbeets  were grown on field plots of
Portneuf silt loam  soil and  allowed to develop severe  N and P stresses.  Carbon
dioxide exchange  and stomatal  resistance of intact plant  leaves  were measured with
small leaf chambers .during  1 minute periods.  Leaf water  potentials  were also
measured in the field with  a hydraulic press.  The CO2 compensation  points, dark
respiration, and  osmotic pressures of excised leaf tissue were  measured  in the
laboratory by standard methods.  Photosynthesis per unit  leaf area was  reduced in
advanced stages of  N deficiency; however, none of  the  measurements satisfactorily
indicated the onset of N or  P  stress because of heterogeneity between leaves.


77:07B-015
MISCIBLE DISPLACEMENT OF NITRATE AND CHLORIDE UNDER FIELD CONDITIONS,
Misra, C-, and Mishra,  B.K,
Orissa University  of Agriculture and Technology, Dryland  Agricultural Research
Project, Bhubaneswar-751003, India.
Soil  Science Society of America Journal, Vol. 41,  No,  3,  p 496-499,  May-June, 1977.
2  fig, 1 tab, 13  ref, 5 equ  .

Descriptors:  Nitrates,  Nutrients, Fertilization,  Fertilizers,  Leaching, Soil
water. Soil water  movement,  Irrigation effects, Denitrif ication,

In an attempt to  develop the capability for predicting the reduction loss of
N03(-)N during  leaching of  nitrate fertilizers in an Oxisol field profile, a 2-cm
      '                                                -          laced  throuh a
N03(-)N during leacng o  nra
pulL'of CaCNOSU solution containing  304 ppm of N03 (-)N was di  laced through a
                           ^

                         ^
order sink term.


MEASUREMENT OF SOIL GASEOUS DIFFUSION COEFFICIENTS BY A TRANSIENT-STATE METHOD WITH
A TIME-DEPENDENT SURFACE CONDITION,
Rolston, D.E., and Brown, B.D.
                                         249

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California University, Department of Land, Air and Water Resources, Davis,
California  95616.
Soil Science Society of America Journal, Vol. 41,.No. 3, p 499-505, May-June,
1977.  8 fig, 2 tab, 11 ref, 7 equ.

Descriptors:  Soils, Soil investigations, Soil properties, Soil gases, Denitrifi-
cation, Nitrogen, Soil profiles.

Precise measurement of the gaseous diffusion coefficient in soils is necessary for
calculating the flux of gas resulting from soil respiration, denitrification, or
fumigation.  Gaseous diffusion coefficients of soil columns and a field soil were
determined by fitting a solution of the transient-state diffusion equation for^a
time-dependent surface condition to measured N2 concentration profiles.  The time-
dependent surface condition was experimentally imposed by pumping argon at a con-
stant rate into a chamber placed within the soil and on the soil surface.  The
argon and air mixture exited the chamber through several exit ports. The N2 con-
centration at the soil surface and within the soil profile was determined several
times within a 5-hour period after initiation of the argon flow.  A solution of
the  diffusion equation for a nonconstant initial condition can also be used for
determining the diffusion coefficient for cases where the initial gas concentration
is not constant with depth.  Diffusion coefficients for a field soil determined
from the transient-state solutions compared favorably with those determined from
laboratory measurements on undisturbed soil cores and field measurements of C02
flux.


77:078-017
THE  ASSESSMENT OF PLANT-AVAILABLE CADMIUM IN SOILS,
Symeonides, C., and McRae, S.G,
Wye  College  (London University), Department of Physical Sciences, Ashford, Kent,
England.
Journal of  Environmental Quality, Vol. 6, No, 2, p 120-123, April-June, 1977,
2  fig,  4 tab,  35 ref.


Descriptors:  Cadmium, Heavy metals, Soils, Soil investigations, Water quality,
Pollution,  Crop response.

A  study has been made of the amounts of cadmium recovered by a variety of reagents
and  extraction procedures from soils to which Cd has been added,  Correlation of
these results with the Cd content of radish plants grown in these soils has shown
that the most sensitive of several possible indices to Cd uptake by plants is the
amount extracted by a 1-hour shaking with IN ammonium nitrate solution at a soil/
solution ratio of 1:10  (wt/vol).  The greater efficiency of this extractant com-
pared with other proposed extractants is ascribed to the system reflecting the
natural pH of the soil which has a marked effect on cadmium availability to plants.


77:078-018
DETERMINATION OF ORTHOPHOSPHATE IN AQUEOUS SOLUTIONS CONTAINING LABILE ORGANIC
AND  INORGANIC PHOSPHORUS COMPOUNDS,
Dick, W.A., and Tabatabai, M.A,
Iowa University, Department of Agronomy, Ames, Iowa  50011,
Journal of Environmental Quality, Vol. 6r No, 1, p 82-85, January-March, 1977.
4 fig, 3 tab, 16 ref.

Descriptors:  Sampling, Water quality, Water quality control, Phosphorus, Laboratory
tests, Fertilizers, Nutrients.

A simple and precise colorimetric method of determining orthophosphate in aqueous
solutions containing labile organic and inorganic P compounds is described.  It
involves a rapid formation of molybdenum blue color by the reaction of orthophos-
phate with molybdate ions in the presence of ascorbic acid-trichloroacetic acid
and citrate-arsenite reagents and complexation of the excess molybdate ions to
prevent further formation of blue color from the phosphate derived  from hydrolysis
of the acid-labile P compounds.  The color is stable up to 24 hours.  The method
is sensitive and accurate, and it permits determination of microgram quantities of
orthophosphate in samples containing large amounts of acid-labile P compounds.
Tests with a wide range of condensed phosphate and organic phosphate compounds
showed that none of the P compounds studied interfered with this method.  Results
by this method are compared with those obtained by the method of Murphy and Riley.
                                          250

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77:07B-019
A SELF-PROPELLED HIGH-CLEARANCE  SOIL CORING MACHINE,
Bausch, W., Onken, A.B., Wendt,  C.W.,  and Wilke,  O.C.
Texas A and M University,  Texas  Agricultural Experiment Station,  Agricultural
Research and Extension Center, Lubbock,  Texas.
Agronomy Journal, Vol. 69, No. 1,  p 122-124, January-February,  1977.   4  fig, 1  tab,


Descriptors:  Sampling, Crop production, Soil investigations,  Soils,  Soil  tests
Soil profiles. Soil properties.                                                 '

Mechanical soil sampling equipment currently available is suitable for sampling
prior to crop establishment  or in  low grouping crops but cannot be used  without
plant damage in some  tall  crops.  A self-propelled high-clearance soil coring
machine was designed  and constructed to obtain soil samples in  a  tall standing
crop at a range of lateral as well as vertical distances.  The  sampler is  hydrauli-
cally operated and has vertical  pressure and rotary drilling capabilities.  This
equipment has a lateral travel span of 152 cm and the capability  of coring to a
depth of 9 m with the mast in any  lateral position on the track.   Two operators
can use the sampler without  difficulty;  however,  three operators  are  desirable  if
a large number of samples  are to be taken.  As many as eighty  30-cm increment soil
samples have been taken per  hour when sampling a  moist sandy soil to  a depth of
2 m.


77:07B-020
SOIL NITRATE-NITROGEN DETERMINED BY CORING AND SOLUTION EXTRACTION TECHNIQUES,
Alberts, E.E., Burwell, R.E., and  Schuman, G.E,
United States Department of  Agriculture-Agricultural Research  Service, West
Lafayette, Indiana.
Soil Science Society  of America  Journal,  Vol,  41, No. 1, p 90*-92, January-February.-
1977.  1 fig, 1 tab,  13 ref.

Descriptors:  Nitrates, Nitrogen,  Sampling, Soil  profiles, Soil tests, Iowa,
Leaching.

Soil-coring and solution-extraction sampling techniques were compared for  deter-
mining the content of NO3(-)N in the soil profile of a Monona  s±lt loam  in south-
western Iowa.  The NO3(-)N content of the 3.05-m  profile, determined  by  solution
extraction, was 28% lower  in 1972, 8% higher in 1973,  and 13%  lower in 1974 than
that determined by soil coring.  The profile difference in N03(-)N content between
the two sampling  techniques  was  insignificant in  1973 and 1974  but was highly
significant  (1%)  in 1972.


77:07B-021
DIGITAL ELECTRONIC MEASUREMENT AND RECORDING OF IRRIGATION FIELD  WATER DEPTHS,
Dawes, W.H., Casey, M.R.,  Scharplaz, J.D., and Manges, H,L,
ICE Corporation, Manhattan,  Kansas  66502.
Presented at the  1977 Winter Meeting of the American Society of Agricultural
Engineers, December 13-16, 1977, Palmer House Hotel, Chicago,  Illinois,  p  1-3.
1 fig.

Descriptors:  Furrow  irrigation, Water table, Sampling, Irrigation practices,
Irrigation effects.

This presentation describes  a system for measuring water depths at twelve  locations
in a three-furrow irrigation field with capacitance type level  sensors.  The data
from the sensors  is recorded on  a  cassette tape at one or five  minute intervals.
The system is battery operated.  Methods for retrieving data from a cassette
tape are discussed.
 77:07B-022
 MARINE DYNAMICS AND  ITS EFFECT
 Mero, T., and Appall,  G.
 Test and Evaluation  Laboratory
ON
   CURRENT MEASURING TRANSDUCERS,
 National Oceanic and
 Proceedings of  the Symposium on Flow Measurement in Open Channe.
 duits, Gaithersburg,  Maryland,  p 109-121,  February 23-25, 197/.
                                  3 fig,  3
   Con-
tab,
 3 ref.
                                          251

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Descriptors:  Velocity,  Flow measurement,  Currents (water), Turbulence, Turbulent
flow, Dynamics.

A growing interest in measuring current velocities in coastal zone and estuaries
prompted the creation of a Dynamic Analysis Program at T&EL (formerly NOIC).  The
dynamics of near-shore current flows are more severe than that of the deep ocean.
Therefore,  it is important to qualify the  performance of current measuring trans-
ducers in a dynamic environment.   A study  was contracted to determine what scales
and intensities  of turbulence exist in the near-shore environment.  The major effort
of the study is  concerned with turbulence  from 1 to 20 Hz and scales up to 30 cm.
Tests are being  conducted to determine the response characteristics of several
current measuring transducers including both rotor and electromagnetic instruments.
These tests include grid-produced turbulence measurements as well as simulated
mooring-line dynamics' tests.  Measurements have revealed several transducers that
have 10 to 20% sensitivity increases when  turbulence intensities of 6 to 12% are
present.  This paper contains a description of turbulence that exists in the marine
environment along with dynamic response characteristics of several current measuring
transducers.


77:078-023
A NEW DIELECTRIC SOIL MOISTURE METER FOR FIELD MEASUREMENT OF SOIL MOISTURE,
Kuraz, E.V., and Matousek, J.
Technical University, Department of Irrigation and Drainage, Karlova nam, 3,
Praha 2.
International Commission on Irrigation and Drainage, Vol. 26, No. 1, p 76-79,
January 1977.  3 fig, 5 ref.

Descriptors:  Soil moisture, Soil water, Soil properties, Bulk density. Sampling.

A new apparatus  for the soil moisture measurement in field conditions by a di-
electric method  has been developed.  The arrangement is based on the principle
of the capacitance—frequency converter.  With a good operating reliability and
temperature stability, a miniaturization of the device has been reached.  The
apparatus works  in the whole range of moisture content, the measurement is
also influenced  by the change of bulk density.  The temperature change is ir-
relevant and the sensitivity to the change of the chemical composition is low.
The measuring procedure is very simple, the reading is possible either on the
scale, or a registering apparatus can be connected.  For each soil a calibration
curve has to be  determined.


77:07B-024
ERRORS IN FLOW MEASUREMENT AND THEIR IMPORTANCE IN INFILTRATION/INFLOW ANALYSIS,
Guthrie, D.L., Washington, D.R.,  and Vincenty, C.
Environmental Quality Systems, Incorporated, Rockville, Maryland.
Proceedings of the Symposium on Flow Measurement in Open Channels and Closed
Conduits, Gaithersburg,  Maryland, p 173-200, February 23-25, 1977.  7 fig, 2 tab,
10 ref, 2 equ.

Descriptors:  Flow measurement, Infiltration, Weirs, Flumes, Water measurement,
Seepage.

Several common flow-measurement devices including the weir, Parshall flume, and
scow were used in field studies of infiltration/inflow in Puerto Rico.  Mathemati-
cal determinations of infiltration/inflow were made by calculating the hydraulic
gradient, the height of water in the sewer, and the velocity head loss.  Both of
these instrumental and physical-mathematical methods for flow determination are
reviewed, stressing the advantages and disadvantages of each, their sources of
error, and methods used to resolve that error, wherever possible,


77 :07B-025
COMPENSATING FOR CONSTRUCTION ERRORS IN CRITICAL-FLOW FLUMES AND BROAD-CRESTED
WEIRS,
Replogle, J.A.
United States Department of Agriculture, Agricultural Research Service, United
States Water Conservation Laboratory, 4331 East Broadway, Phoenix, Arizona  85040.
Proceedings of the Symposium on Flow Measurement in Open Channels and Closed
Conduits, Gaithersburg,  Maryland, p 201-218, February 23-25, 1977.  5 fig,  1 tab,
8 ref, 1 equ.
                                         232

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Descriptors:  Flow measurement,  Flumes,  Weirs,  Open channel flow.  Water measure-
^?K°ai~*1C??^UKeS  Snd  broad~crested weirs can now be routinely and accurately
calibrated  (±2%) by computer techniques over a wide range of flow rates  and flume
cross sections, including trapezoidal and complex shapes.  This ability  permits
detailed compensation for errors introduced by construction anomalies.   Proce-
dures were developed  and  used on a series of primary devices in irrigation  canals,
including trapezoidal flumes and broad-crested weirs, which identified construction
errors and accurately related a readout mechanism to the primary device,  as con-
structed, so that  the original intended accuracy could be restored.


77:076-026
INSTRUMENT ERRORS  IN  OPEN CHANNEL FLOW MEASUREMENT SYSTEMS
Grant, D.M.
Instrumentation Specialties Company, Post Office Box 5437, Lincoln,  Nebraska 68505.
Proceedings of the Symposium on Flow Measurement in Open Channels and Closed Con-
duits, Gaithersburg,  Maryland, p 91-103, February 23-25, 1977.   9 ref.

Descriptors:  Flow measurement, Open channels, Open channel flow, Instruments.

Certain aspects of open channel flow measurement systems are briefly discussed,
including primary  and secondary measuring devices.  The two functions of  a  secondary
measuring device  (open channel flow meter) are discussed i  level measurement and
level-to-flow rate conversion.  Some of the common methodologies used to  accomplish
each  of the two functions of a secondary device are described,  and the possible
sources and magnitudes of errors associated with each of these  methodologies are
analyzed.   Level measurement methods discussed are:  float, electrical,  ultrasonic,
bubbler, and dipping  probe.  Level-to-flow rate conversion methods discussed are:
mechanical  cam, electronic analog function generator, electronic memory  device,
and opto-electronic function generator,  In the interest of promoting a  uniformity
of  specifications, a  standard general format for open channel flow meters is pro-
posed.


77:078-027
NUMERICAL MODELING OF TWO-DIMENSIONAL FLUMES,
Davis, R.W.
Mechanics Division,  National Bureau of Standards.
Proceedings of  the Symposium on Flow Measurement in Open Channels and Closed
Conduits, Gaithersburg, Maryland, p 219-242, February 23-25, 1977.  12 fig,  2
tab,  10 ref,  9  equ,

Descriptors:  Water measurement, Flow measurement, Flumes, Open channel  flow,
Hydraulics, Model  studies, Weirs.

Flumes are  commonly used devices for the measurement of open-channel flow rates,
Their range of  operation has been limited, however, because, outside of  experimen-
tally calibrating  each configuration used, one has had to resort to one-dimensional
theory for  flow rate determination.  This theory is restricted  to fairly low values
of  upstream-head  to crest-length ratio, as well as to almost level flumes with a
resonably uniform incoming velocity profile and nonconverging sidewalls.  The present
study is concerned with extending the operational range of a particular  type of
flume (the  two-dimensional version of the Palmer-Bowlus flume}  into areas where
one-dimensional theory loses its validity.  The determination of the head^ischarge
relationship  for  this flume is done numerically by use of the SOLA finite difference
routine  for two-dimensional free-surface flows.  Effects of changes in flume
geometry, channel  slope, and upstream velocity profile are investigated.  The
numerical results  are verified experimentally,



THE0D^I°GN  OF OPEN CHANNEL ACOUSTIC FLOWMETERS FOR SPECIFIED ACCURACY,   SOURCES OF
ERROR AND CALIBRATION TEST RESULTS ,

Sn'Research^quipment, Incorporated, Accusonic Division, Falmouth, Massachusetts

Proceedings of  the Symposium on Flow Measurements in Open Channels and Closed
Conduits, Gaithersburg, Maryland, p 243-266, February zj n,
                                           253

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Descriptors:  Flow measurement, Water measurement, Velocity, Flow rate.

The design of open channel acoustic flowmeters is more difficult than the design
of pipeline flowmeters because of errors introduced by the free surface, as well
as because the open channel environment is usually more susceptible to attenuation
and multipath conditions which can inject large errors unless special signal
recognition and filtering techniques are employed.  The sources of error in open
channel acoustic flowmeters are tabulated and discussed.


77:07B-029
VALIDATION OF USE OF DYE-DILUTION METHOD FOR FLOW MEASUREMENT IN LARGE OPEN AND
CLOSED CHANNEL FLOWS,
Morgan, W.H., Kempf, D., and Phillips, R.E.
Peerless Pump, An Indian Head Company, Montebello, California  90640.
Proceedings of the Symposium on Flow Measurement in Open Channels and Closed
Conduits, Gaithersburg, Maryland, p 361-394, February 23-25, 1977.  12 fig, 4 tab,
13 ref, 1 append.

Descriptors:  Flow measurement, Water measurement, Open channel flow, Pipe flow.
Pipelines, Tracers, Flumes, Calibrations,

The use of water soluable tracers for determining flow rates of rivers and streams
has been practiced for several decades, both in the United States and abroad.  During
the last 15 years the economical availability of water soluable dyes, coupled with
the considerable technical improvement in fluorometry equipment, has made feasible
the use of dye-dilution methods for in situ calibration and other flow measurement
devices.


77:07B-030
CALCULATORS IN TIMER-COUNTERS FOR CURRENT METERS,
Kormilo, S.R.
Papuea New Guinea University of Technology, Department of Electrical and Communi-
cations Engineering, Lae  (New Guinea),
Journal of the Hydraulics Division, American Society of Civil Engineers, Vol. 103,
No. HY9, Proceedings Paper 13230, p 1031-1036, September 1977,  2 fig, 1 ref,
2  append.

Descriptors:  *Instrumentation, *Current meters, *Equipment, Electronics, Laboratory
tests. Flow, Measurement, Time, Timing, Engineering, Electrical engineering. Hydro-
logy.

An accurate, compact, low-cost, calculator-based electronic timers-counter for cur-
rent meters was constructed and laboratory tested.  Electronic calculators often
offer an economically attractive alternative to both electromechanical and other
forms of electronic counters.  The modification of calculators so that they can
act as timer-counters was described in general terms.  A summary of the results of
tests to determine the effect of temperature and voltage variations on the timing
accuracy of a prototype electronic timer-counter was given.  Laboratory tests also
were performed which compared the prototype to two different electromechanical
counters in operation.  The tests indicated that, with a few minor changes, the
electronic timer-counter would provide many advantages over the electromechanical
counters.


77:078-031
A MECHANICALLY CONTROLLED VARIABLE RATE LEACHING DEVICE,
Holmgren,  G.G.S., Juve, R,L., and Geschwender, R.C,
National Soil Survey Laboratory, Lincoln, Nebraska  68508.
Soil Science Society of America Journal, Vol. 41, No, 6, p 1207-1208, December 1977.
1 fig,  1 tab.

Descriptors:  Leaching, Sampling, Laboratory studies, Cation exchange.

Twenty-four leaching tubes attached to 60-ml plastic syringes are mounted on the
periphery of three vertically aligned slotted discs 45 cm in diameter.  The plungers
are withdrawn at a controlled rate by a variable speed screw jack that separates  the
two lower discs holding the plungers and syringe barrels, respectively.  Leaching
time can be varied from 15 min, to 12 hours or more.  The final volume of extract
                                         254

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is determined by weighing  the  syringes.   Precision of  ammonium  acetate CEC and
                    by this  procedure  with 2.5  grams of  soil  and  fo-ml extract
matoh
of soil anf loo ^lCO?Parf le.man^X  meth°d  USlng  Vacuum  ^traction with  5 grams
time in half          extract.   Thls apparatus  has  also  cut  required operator



77:078-032
CORRECTION FOR DISSOLVED NITROUS OXIDE  IN NITROGEN  STUDIES
Moraghan, J.T. , and  Buresh,  R.                             '
North Dakota State University,  Department of  Soils,  Fargo, North Dakota
Soil Science Society of America Journal, Vol.  41, No.  6,  p 1201-1202  November-
December, 1977.   1 fig, 2 tab,  6 ref.

Descriptors:  Nitrification,  Denitrif ication, Nitrogen,  Temperature, Sampling.

Rapid methods  for the accurate  determination  of N20  in atmospheres of closed
incubation flasks are now available. However,  serious errors  in measuring total
N20 within a closed  system may  arise if dissolved N20  is  not considered.  Temper-
ature and the ratio  of  solution volume  to atmosphere volume  are important factors
determining the magnitude of errors  resulting  from  this  cause.  A simple formula
for calculating dissolved N20 based  on  solution and  atmosphere volumes,  the mass
of N20 in the gaseous phase,  and published  solubility  data for N20 in water is
presented.  If the chemical  composition of  the  solution  phase  is likely  to
influence solubility coefficients,  these values can  be experimentally determined
using a described technique.


77 :07B-033
DESIGN AND TEST OF A FIELD SAMPLER  FOR  AMMONIA" VOLATILIZATION,
Kissel, D.E.,  Brewer, H.L. ,  and Arkin,  G.F.
United States  Department of  Agriculture, Agricultural  Research Service, Texas
Agricultural Experiment Station, Post Office  Box  748,  Temple,  Texas  76501.
Soil Science Society of America Journal, Vol.  41, No.  6,  p 1133-1138, November ^-
December, 1977.   9 fig, 1 tab,  12 ref.

Descriptors:  Ammonia,  Fertilizers,  Data collection, Sampling, Nitrogen, Fertili-
zation.

A  system is needed to measure ammonia volatilization from N  fertilizer applied
under field conditions.  This study  was undertaken  to  develop  a device for making
these measurements and  still maintain a field  environment.   The basic system
developed consists of a vacuum  pump, a  chemical trap to  capture ammonia, and the
volatilization chamber.


77:078-034
DENITRIFYING BACTERIA CAN BE ENUMERATED IN  NITRITE BROTH,
Volz, M.G.
Connecticut Agricultural Experiment  Station,  New  Haven,  Connecticut  06504.
Soil Science Society of America Journal, Vol.  41, No.  3,  p 549-551, May-June,
1977.  2 tab,  20  ref.

Descriptors:   Denitrif ication,  Bacteria, Nitrites,  Laboratory  tests.

Denitrifying-  and N03-  reducing bacteria in air dry, moist and organic matter
amended Yalesville fsl, lake water,  and in  both effluent  and drainage field
soil from a septic tank system  were  enumerated  using Difco nutrient broth, which
contained either  or  both N03- and N02-  and  was  incubated  anaerobically   Most
probable numbers  (MPN)  of denitrifiers  were always  less  than those of N03-
reducers in the same sample, and constituted  from 0.02%  to 70% of bacteria
capable of aerobic growth on yeast  extract  agar.



SAMPLING DISTRIBUTION OF NITRATES IN IRRIGATED  FIELDS,
12 ref,  8  equ.
                                       255

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Descriptors:   Sampling,  Nitrates,  Irrigation, Irrigation effects, Irrigation
practices,  Colorado,  Nebraska,  Laboratory tests, Fertilizers, Fertilization.

The object of this study was to determine the components of variability encountered
in sampling farmers'  fields for soil nitrates.  This information is required for
formulating recommendations for sampling plan and intensity.  Twenty-four irrigated
farm fields in northeastern Colorado and Western Nebraska were sampled on 61 x 61
m grids.  One soil core was taken in 30-cm increments from each grid to a depth of
120 cm.  Duplicate cores were obtained from each third grid to allow determination
of within grid variability.  The laboratory-induced variability was also estimated.
The results indicated that within and among grid standard deviations increased as
the means increased.   The standard errors of laboratory determinations (sub-
sampling plus analytical errors) also increased as the means increased,


77:07B-036
A PORTABLE CHAMBER FOR RAPID EVAPOTRANSPIRATION MEASUREMENTS ON FIELD PLOTS,
Reicosky, D.C., and Peters, D.B,
South Carolina Agricultural Experiment Station, Florence, South Carolina.
Agronomy Journal, Vol. 69, No.  4,  p 729, 732, July-August, 1977,  4 fig, 6 ref.

Descriptors:  Sampling, Evapotranspiration, Crop production, Scheduling,
Irrigation efficiency. Soil water, Soil moisture, Temperature,

The increased importance of water-use efficiency in agricultural production has
prompted the need for new techniques to measure evapotranspiration (ET) on
field plots to evaluate the effects of new soil and water management practices
of an inexpensive, portable chamber for rapid field measurement of ET.  This
chamber was constructed from aluminum conduit covered with Mylar film and
mounted on a farm tractor for portability.  The air within the chamber was
mixed constantly with four strategically located fans.  The ET rate was calculated
from the air and wet-bulb temperatures of a thermistor psyc'hrometer before the
chamber was lowered on the plot and 1 minute later.  The psychrometer's accuracy
was checked by measuring the transpiration from a solution-absorption system that
accurately measured the change in solution level using an LVDT-float system.  When
microlimatological conditions were changing slowly, transpiration was assumed to be
equal to the absorption.  The high correlation between measured absorption and
transpiration rates indicated reasonable accuracy.  The chamber*s accuracy and
rapidity of the measurement, portability, and relatively low cost makes it a
useful tool in measuring ET under field conditions.


77:O7B-037
DETERMINING CATION EXCHANGE CAPACITY;  A NEW PROCEDURE FOR CALCAREOUS AND
GYPSIFEROUS SOILS,
Polemic, M., and Rhoades, J.D.
United States Salinity Laboratory, United States Department of Agriculture,
Agricultural Research Service,  Riverside, California   92502.
Soil Science Society of America Journal, Vol. 41, No. 3, p 524^-528, May«-June,
1977.  2 fig, 2 tab,  23 ref.

Descriptors:  Cation exchange,  Soils, Soil tests, Soil investigation, Soil
properties.

A new, two-step procedure is presented for determining the cation exchange
capacity of calcareous and gypsiferous soils.  The method eliminated most of the
errors inherent in conventional methods.  The cation exchange sites are saturated
with sodium by four successive "equilibrations" of the soil  (4-5 grams) with
33-ml increments of a pH 8.2, 60% ethanol solution of 0.4N NaO Ac - 0.1N NaCl
(saturating solution),  The saturated sample then is extracted with three 33-ml
increments of l.ON, pH 7 magnesium nitrate.  Total sodium  (Nat) and chloride
(Clt)  are subsequently determined in the extracted solution.  Chloride  (Clt)
is determined so that the soluble sodium  (Nasol), from the excess saturating
solution carried over from the saturation step to the extraction step, may be
deducted from the total sodium  (Nat) to obtain exchangeable sodium  (Naexch), which
is equivalent to the CEC.  Thus, CEC = Naexch =  (Nat - Nasol) = Nat -  (Clt(Na/Cl)
saturating solution)  where  (Na/Cl) saturating solution is the ratio of Na to Cl
in the saturating solution.
                                        256

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                                  SECTION XXIV


                                  RESOURCES  DATA

               EVALUATION, PROCESSING AND PUBLICATION  (GROUP  07B)


77:07C-001
PREDICTION OF MINERAL QUALITY OF  IRRIGATION RETURN  FLOW:  VOLUME  IV-  DATA ANALYSIS
UTILITY PROGRAMS,
Bureau of Reclamation, Engineering  and  Research  Center, Denver, Colorado  80225.
Publication No. EPA-600/2-77-179d,  August 1977.   222 p, 1 ref.
(See 77:05G-030)


77:07C-002
EXPERIMENTAL EVALUATION OF TWO  INFILTRATION EQUATIONS,
Idike, F., Larson, C.L., Slack, D.C., and Young,  R.A.
Minnesota University, Department  of Agricultural Engineering, Saint Paul, Minnesota.
Presented at the 1977 Winter Meeting of the American Society  of Agricultural Engineers,
December 13-16, 1977, Palmer House  Hotel, Chicago,  Illinois,  p 1-21.  6 fig, 4 tab,
21 ref, 6 equ.

Descriptors:  Infiltration, Soil  water,  Soil moisture,  Soil water movement, Runoff,
Equations.

Infiltration from constant application  rates as  predicted by  the  Holtan equation
and the Mein and Larson equation  was compared to values determined experimentally.
Both equations did a good job of  predicting infiltration during latter and middle
portions of the experimental runs.   The Mein and Larson equation  did a good job
of predicting time to start of  runoff,  while the Holtan equation  generally under-
predicted infiltration during initial stages of  the runs.
                                           257

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                                 SECTION  XXV


                                ENGINEERING WORKS

                             STRUCTURES (GROUP 08A)


77:08A-001
A PROPOSED TECHNIQUE FOR TESTING AND EVALUATION OF HARDENED IRRIGATION DITCH
CONCRETE,
Hess, J.D.
Darco Engineering International, El Centre, California,
Presented at the 1977 Annual Meeting of the American Society of Agricultural
Engineers, June 26-29, 1977, Raleigh, North Carolina, North Carolina State
University, p 1-10.   4 fig,  1 tab.

Descriptors:  Irrigation, Irrigation systems, Concrete, Sampling,. Canals, Canal
linings.

A new testing technique is presented for the strength evaluation of hardened
irrigation ditch concrete.  The test procedure eliminates the need for evaluating
in-service strength  characteristics based solely upon conventional 6 inch by 12
inch cylinder tests  or tests on small cores or prisms.  No L/D corrections are
required.
                                        253

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                                  SECTION XXVI


                                ENGINEERING WORKS

                             HYDRAULICS  (GROUP  08B)


77:088-001
HYDRAULIC JUMPS AND WAVES AT ABRUPT DROPS ,
Rajaratnam, N. , and Ortiz, N,V.
Alberta University, Department of Civil  Engineering,  Edmonton, Alberta, Canada.
Journal of the Hydraulics Division, American  Society  of Civil Engineers, Vol. 103,
No. HY4, Proceedings Paper 12869, p 381-394,  April  1977.   14 fig,  2 tab, 11 ref,
2 append .

Descriptors:  *Drops  (structures), *Flow,  *Hydraulic  jump,  Open channel flow,
Open channels, Shear stress, Turbulent flow,  Waves  (water), Tailwater, Hydraulics,

Experimental results on the structure of the  mean flow in  B^-jumps  and waves formed
at abrupt drops in open channels  for a wide range of  the supercritical Froude
number and relative drop height were presented.  In the B-jump, the supercritical
stream undergoes diffusion; firstly as a curved  free  jet sandwiched between the
captive eddy on the bottom and the surface roller on  the top, and  secondly as a
reattached plane wall  jet with the surface roller on  its top.  The bed shear stress
in the downstream channel was measured and well  correlated  along with the variation
of the maximum velocity.  In the wave, it was found:   (1)  that the supercritical
stream is deflected by the tailwater back-pressure, and  (2) that the deflected
stream behaves like a  curved surface jet until  it plunges  into the tailwater.  The
decay of the maximum velocity in  the wave was found to be  generally faster than
that in the classical  jump and the B-jump.


77:08B-002
EFFECT OF BRANCH SPACING ON LOSSES FOR DIVIDING  FLOW,
Becker, G.E., Nystrom, J,B., and  Qureshi, N.A,
Worcester Polytechnic  Institute, Department of Civil  Engineering, Worcester,
Massachusetts .
Journal of the Hydraulic Division, American Society of Civil Engineers, Vol , 103,
No. HY3, Proceedings Paper 12791, p 265-279,  March  1977.   10 fig,  15 ref, 2 append.

Descriptors:  *Head loss, *Discharge  (water), *Hydraulics,  *Pipe flow, laboratory
tests, Hydraulics, Energy equation, Discharge coefficient,  Friction, Dimensional
analysis, Equations.
Tests were conducted to evaluate  the  effects  of  port  spacing on head loss and
charge coefficients for dividing  manifold  flow.  A branch geometry typical of an
actual diffuser design was  used,  and  the branch-to-main-pipe-diameter ratio and
the relative spacing between  branches were varied by  increments.  Evaluation of the
test data for dividing flow indicated that the asymmetry of the velocity distribu-
tion in the main pipe downstream  of a branch  increased with decreasing branch
spacing; the form loss coefficient  for through-flow in the main pipe increased with
decreasing relative branch  spacing; and the branch discharge coefficient increased
with decreasing relative branch spacing.   Although a  particular geometry ^was used
in the investigation, basic trends  and percentage changes in the coefficients with
the branch spacing may be generally applicable,


77:08B-003
FREE FLOW IMMEDIATELY BELOW SLUICE  GATES ,

A^ertfuniversity, Department of Civil Engineering,  «on  Alberta,. Canada
Journal of the Hydraulic Division, American Society of Civil Engineers,. Vol  103,
No. HY4, Proceedings Paper  12867, p 345-351,  April 1977.  7 fig, 1 tab, 9 ref,
2 append .


                                         259

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Descriptors:   *Boundary layers,  *Flow,  *Sluice gate, Gate control, Gates, Open
channel flow,  Sluices,  Hydraulics,  Laboratory tests. Channels, Profiles, Pressure.

Based on the results of an experimental study, it was found that the water surface
profiles immediately below sluice gates in rectangular channels are similar.  The
coefficient of contraction was found to be larger than the theoretically predicted
value, and it is not possible to attribute this difference to boundary layer effects
alone.  The pressure field in the converging flow was measured, and the dimension-
less excess pressure on the bed  was correlated with the dimensionless longitudinal
distance from the gate.


77:08B-004
TWO-DIMENSIONAL SEARCHES FOR HIGH-YIELD WELL SITES,
Turk, G.
Ground Water,  Vol. 15,  No. 4, p  269-275, July-August, 1977.  6 fig, 2 tab, 8 ref.

Descriptors:   *Well spacing, *Drilling, *Exploration, Test wells, Costs, Aquifer
characteristics, Transmissivity, Optimization, Sampling, Depth, Water yield,
Analytical techniques.

In areas where bedrock is irregular, greater saturation thickness of aquifer will
associate with the depression in the bedrock formation.  Wells located upon the
depressions can yield significantly higher amounts of water.  Hence, finding the
bottom of depression the area will be of interest, and this can be facilitated by
drilling test holes.  The test holes can be drilled at the nodes of a regular
grid; however, more efficient search techniques are available,  Fibonacci search
in one dimension was proposed recently, and potential saving in drilling cost was
demonstrated.   But the problem is essentially two-dimensional in nature.  This
paper described some two-dimensional search procedures and showed that potential
saving in drilling cost can be dramatic.


77:086-005
PROPORTIONAL WEIRS AS VELOCITY CONTROLLING DEVICES,
Rao, L., Rao,  N.S., and Chandrasekaran, D.
Indian Institute of Science, Department of Civil Engineering, Bangalore.
Journal of the Hydraulics Division, American Society of Civil Engineers, Vol. 103,
No. HY6, Proceedings Paper 13016, p 633-648, June 1977.  5 fig, 2 tab, 10 ref,
2 append.

Descriptors:   *Weirs, *Velocity, *Canals,  Discharge coefficient, Sedimentation,
Sediment control, Orifices, Settling basins, Settling velocity, Hydraulics.

Of the many factors that govern  the settling phenomenon, the flow velocity in the
settling tanks can be controlled favorably by fixing suitably designed weirs at
the outlets of the tanks.  The velocity at the bottom should not dislodge the
particles that have already settled.  The requirements might be met by velocities
which are controlled to be constant with respect to the depth of flow, or by
velocities which reduce linearly with increasing depth or velocities that vary
inversely with the depth.  To achieve these types of velocity control, new pro-
portional wiers were designed.  Very near to the outlet of the tank, over a small
length, the flow was found to be turbulent and noncompliant with the expected
type of velocity control.  This  small length of the disturbance may be provided
over and above the theoretical settling length of the tank for efficient sedimen-
tation.


77:08B-006
COMPUTERIZED DESIGN AND ANALYSIS OF SPRINKLER IRRIGATION SYSTEMS,
Hedstrom, W.E., and Bevilacqua,  D.P.
Maine University at Orono, Department of Agricultural Engineering, Orono, Maine
04473.
Presented at the 1977 Winter Meeting of the American Society of Agricultural
Engineers, December 13-16, 1977, Palmer House Hotel, Chicago, Illinois, p 1-13,
9 ref, 2 equ.
                                         260

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Descriptors:  Sprinkler  irrigation,  Irrigation,  Irrigation design.  Computer  pro-
grams. Economics, Hydraulics,  Hydraulic  design.                     Computer  pro

The elements of the sprinkler  irrigation design  procedure which may be computerized
are discussed.  _These  include  hydraulic  analysis,  application rate  analyst and  In
economic analysis  as  well  as  other  applications.   The conditions under which use
of the computer is most  worthwhile include design  of solid-set systems on  ir-
regularly-shaped, steep  fields.


77:08B-007
PORTABLE, ADJUSTABLE,  FLOW-MEASURING FLUME FOR SMALL CANALS,
Replogle, J.A.
Agricultural Research  Service, Water Conservation  Lab, Phoenix,  Arizona.
Transactions of the American Society of  Agricultural Engineers,  Vol  20' No   5
p 928-933,  September-October,  1977.   5 fig, 5 ref,  2 append.            '    '  '

Descriptors:  *Flumes, *Flow measurement, *Canals,  Channels,  Instrumentation,
Hydraulics, On-site investigations,  Measurement, Flow, Design,

A portable, field-site,  survey flume was constructed and used to verify placement
and design  of permanent  metering flumes.  The portable system consisted of a
trapezoidal throat that  can be raised and lowered  in a flowing field ditch to es-
tablish  limits  of free-flow operation and backwater effects on upstream structures.
Mechanical  solutions to  problems of  maintaining  gage-zero on a movable-throated
flume, stilling-well readout,  and movable seals  between ditch and flume, were pre^
sented.  A  family of concrete throat sections differing only in height of instal-
lation from the canal  floor, were recommended for  the permanent installations.
Flows between about 0.5  cfs (.0.01 cu m)  and 25 cfs  (0.7 ,cu m)  can be measured with
the portable  system.   Satisfactory operation can be achieved with less than  4-in
 (10-cm)  head  loss to the canal system.  Permanent  structures can be installed with
high  assurance  that they will operate as intended,  will be convenient enough  to be
used  routinely, and will be rugged enough to remain reliable and accurate, well
within the  +  or - 5% tolerance usually ascribed  to  field installations.


77:08B-008
EFFECT OF OPENINGS ON  INFLOW INTO CORRUGATED DRAINS,
Bravo, N.J.,  and  Schwab, G.O.
Ohio  State  University, Department of Agricultural  Engineering, Columbus, Ohio.
Transactions  of the American Society of  Agricultural Engineers,  Vol.  20, No.  lf
p  100-104,  January-February, 1977.  6 fig, 3 tab,  11 ref.

Descriptors:  *Drains, *Inflow,  *Analog  models,  'Orifices, Plastic  pipes, Mathemati-
cal models, Saturated  flow, Laplaces equation, Boundaries (.surfaces),  Groundwater
potential,  Hydraulic conductivity, Flow, Soil water movement.

The relative  effectiveness of the openings in corrugated plastic drains as influenced
by the presence of soil  within the corrugations  and within the openings themselves
was evaluated from the standpoint of water inflow  for saturated conditions in a
homogeneous,  isotropic soil.  Electrical analog  models provided empirical estimates
of the relative flow into drain openings as well as the boundary conditions  for
mathematical  models.   Three-dimensional  mathematical models were based on Laplace's
equation with appropriate boundary conditions.  After agreement between the  analog
and mathematical models  was established  for simple  configurations,  inflow for the
more  complicated  cases was measured  with electric  analog models,


77:088-009
SIMULATION  OF IMPOUNDMENT TERRACE HYDRAULICS,
Rochester,  E.W.,  and Busch, C.D.                      .             ,,,,=m=
Auburn University, Department of Agricultural Engineering, Auburn   Alabama.
Transactions  of the American Society of  Agricultural Engineers,  Vol.  20, No,  1,
p  76-84, January-February,  1977.  5  fig, 8 ref.

Descriptors:  'Terracing, 'Impoundments, 'Model  studies, ^hematical models,
Inflow,  Discharge  (water),  Depth, Water  levels,  Computer models, Pipes, Pipe
flow, Drainage, Hydraulics, Agriculture, Simulation analysis.
                                          261

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A digital simulation predicts flow conditions associated with a series of two
"impoundment terraces.   The simulation routes inflowing water through the im-
poundments and associated discharge pipes.   Results of the simulation include
depths of the water in each impoundment,  flow rates through each discharge pipe,
and hydraulic head at the junction of the pipes.


77:088-010
DESIGN OF DRIP IRRIGATION LINES WITH VARYING PIPE SIZES,
Wu, I-P-, and Gitlin,  H.M.
Hawaii University, Department of Agricultural Engineering, Honolulu, Hawaii.
Journal of the Irrigation and Drainage Division,  Vol. 103, No, IR4, p 499-503,
December 1977.  2 fig, 5 ref, 9 equ. 1 append.

Descriptors:  Irrigation design, Irrigation efficiency, Hydraulics, Irrigation
methods, Hydraulic design, Design, Irrigation engineering.

Most drip irrigation laterals and submains are designed for a single pipe size.
The energy gradient line for a lateral with a single size has been derived and
presented by an exponential curve that is used as basis for designing laterals
or submains of drip irrigation systems on level fields or on slopes.  However,
under certain field conditions, the length of laterals and submains may be re-
latively long and have nonuniform slopes.  The lateral and submain design may
use a series of different pipe sizes.  A design technique is presented.  The pur-
pose of this paper is to show that by designing laterals or submains with dif-
ferent pipe sizes (different diameters)  the energy gradient line will be close
to the slope of the lateral or submain;  therefore, the pressure variation will
be reduced.


77:08B-011
VISCOSITY AND SURFACE TENSION EFFECTS OF WEIR FLOW,
Ranga Raja, K.G., and Lai Asawa, G.
Roorkee University, Department of Civil Engineering, tlndia),
Journal of Civil Engineers, Vol. 103, No. HY10, p 1227-1231, October 1977.  2 fig,
1 tab, 9 ref, 1 append.

Descriptors:  *Weirs,  *Discharge measurement, *Discharge coefficient, *Flowmeters,
Hydraulics, Water properties, Overflow,  Equations, Laboratory tests, Measurement,
Viscosity, Surface tension, Analysis, Discharge (water).

Weirs have been in use for a number of decades for the measurement of discharge
in channels.  The existing discharge relations for weirs predict the discharge
reasonably well at high heads; however,  the accuracy of these relations is ques-
tionable at low heads.  This is mainly due to the fact that the effects of vis-
cosity and surface tension of the liquid are important at low heads.  Proposed
discharge equations for predicting discharge at low heads introduced a correction
factor to account for the effects of viscosity and surface tension.  The experi-
mentally determined correction factors were presented graphically.  In general,
the data presented indicated an error of + or - 5% in the prediction of discharge.


77:O8B-012
AN INTRODUCTION TO EMISSION UNIFORMITY,
Solomon, K.
Rain Bird Company, 7045 North Grand Avenue, Glendora, California  91740.
Drip/Trickle Irrigation, Vol, 2, No. 1,  p 6-10, January-February, 1977.  3 fig.

Descriptors:  Irrigation systems, Irrigation engineering. Irrigation design,
Hydraulics, Hydraulic design, Irrigation efficiency, Flow rates, Uniform flow,
Uniformity coefficient.

There are good reasons to concern ourselves with emission uniformity.  The more
nearly perfect a system is in terms of emission uniformity, the more it is likely
to cost.  Various devices, material substitutions and design techniques are
available to minimize the problems leading to nonuniformity of emission, but they
all cost money and/or time.  So the costs of approaching perfection must be
weighed carefully against the costs of not achieving it.
                                        262

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77;OOB-013
PIPE SIZES PROM MODIFIED MOODY  DIAGRAM,
Debler, W.
                     D6partment  °f  APPlied Mechanics and Engineering  Science,
Descriptors:  Hydraulics,  Hydraulic design,  Irrigation design,  Irrigation engineer-
ing, Moody resistance diagram,  Pipe flow.  Pipes,  Pipelines,  Dimensional  analysis.

In the course of developing some instructional material,  a  simple  procedure evolved
to extend the useful information contained on the Moody Diagram.   Concurrently
the_essence of that work's results was published  by Lai and  Lee 12) .  Nevertheless,
a different point of view  had been adopted in the development which makes the final
result useful, especially  if one wishes to demonstrate the  utility of dimensional
analysis .


77:08B-014
EMITTER  SELECTION,
Gladigau, L.
Scientific Irrigation  Systems,  Department of Civil Engineering.
Drip/Trickle Irrigation, Vol. 2, No. 1, p 11-15,  January-February, 1977.  2 fig,
1 tab.

Descriptors:  Irrigation engineering, Irrigation  systems, Irrigation design,
Hydraulics, Hydraulic  design, Head loss. Friction, Flow rates.

Initially, emitter  selection depends on the soil, plant requirement, emitter dis-
charge,  water quality,  and terrain of a particular location. Evaluation will
also  include emitter cost  and system risks.   Generally, the emitters offering the
more  desirable  features and lower system risks have a higher unit  cost.  The ini-
tial  emitter considered will have an influence oji the cost  of the  mainline and
filtration system and  may  need to be reevaluated  before a final selection is made.


77:086-015
DRIP/TRICKLE PIPE NETWORK  DESIGN,
Hamisch,  F.
Ag Water, 22008  Riverside, Shafter, California  93263.
Drip/Trickle Irrigation, Vol. 2, No. 1, p 23-26,  January-February, 1977.  1 fig,
1 tab.

Descriptors:  Irrigation engineering, Irrigation  systems, Irrigation design,
Hydraulics, Hydraulic  design, Irrigation systems, Head loss, Friction, Flow rates.

The piping network  is  the  means for taking water  from its source and delivering it
to the emitter  in adequate amounts and with the appropriate  pressure.  The design
of this  system must be made from a sound engineering approach.   The total system
must  be  the most cost  effective for the particular application. The least initial
capital  cost frequently is not the least expensive system for the  user.  The
addition of higher  pressures and their related annual operating costs may exceed
the initial savings of the "least expensive" system in a  short  time.  Power, water,
and other costs  are rising rapidly, and it is the designer's responsibility to
consider the total  costs.


77:08B-016
QUADRANT-PLATE WEIR,
Ramamurthy , A . S . , Subramanya , K . , and Pani ,  B . S ,
Concordia University,  Department of Civil Engineering. Montreal r Canada .
Journal  of the  Hydraulics  Division, American Society of Civil Engineers, Vol. 103,
No. HY12, Proceedings  Paper 13395, p 143,1-1441, December  1977.   9  fig, 3 tab, 8
ref,  2 append.
 Descriptors:   *Weirs,  'Discharge (water) ,  *Flowmeters, *Ra ^"9 ^ves   Theoretical
 analysis,  Measurement, Flow, Hydraulics,;, Laboratory tests, Equations,  Data  col
 lections,  Discharge coefficient,
                                         263

-------
The sample weir flow equation was integrated numerically for a quadrant plate weir
to show that the head-discharge relationship for this weir is approximately linear.
Theoretically,  deviations from linearity (H vs Q)  can be limited to 0,5% by a judi-
cious choice of the parameters that determine the weir geometry.  The results of
experiments on selected weirs were in agreement with the predicted relationships.
The coefficient of discharge for the quadrant-plate weir is a function of the ap-
proach channel Froude number.  For very low Froude numbers (F less than 0.1), the
coefficient of discharge asymptotically approaches a value of 0.61.
                                       264

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                                SECTION XXXIII


                               ENGINEERING WORKS

                        HYDRAULIC MACHINERY  (GROUP O8C)


77:08C-001
PROCEEDINGS OF THE SOLAR IRRIGATION WORKSHOP,
The Energy and Development Administration, Sandia Laboratories, Albuquerque,
New Mexico.
Proceedings of the Solar Irrigation Workshop, Albuquerque, New Mexico, p 1-60,
July 7-8, 1977.

Descriptors:  Energy, Pumps, Pumping plants.  Irrigation wells, Irrigation ef-
ficiency. Economics, Irrigation systems, Wind velocity.

The Energy and Development Administration Solar Irrigation Workshop held in
Albuquerque, New Mexico, July  7, 1977, was structured  to be a major vehicle
for information dissemination  and technology  transfer.  It covered a wide range
of subject matter related to crop irrigation  including current hardware, economics,
experiments, and international requirements.  Speakers represented manufacturers,
ranchers, governmental entities, universities and research firms, ' An anticipated
heterogeneous attendee population dictated a  format  of many brief presentations
rather than fewer more detailed discussions,  This was done to expose the parti-
pants to the various expert speakers and to give them  a cursory introduction to
their particular expertise.  These proceedings reflect the same intent.  They
consist of one page abstracts  for each presentation, a brief biographical sketch
of each speaker and sources for further information  on each subject.  The form
and format is somewhat loose,  but hopefully justified  by our goal to publish
prior to the conference.  This goal was accomplished and served to provide the
workshop participants with valuable information enabling them to assess the
speakers' subject matter prior to the presentation.
                                         265

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                                   SECTION XXXIV


                        MANPOWER,  GRANTS, AND FACILITIES

                         RESEARCH FACILITIES (GROUP 09C)


77:09C-001
RESEARCH AND DEMONSTRATION APPROACH TO DEVELOPMENT OF APPROPRIATE SALINITY
CONTROL TECHNOLOGIES FOR GRAND VALLEY,
Skogerboe, G.V.,  and Walker,  W.R.
Colorado State University, Department of Agricultural and Chemical Engineering,
Fort Collins, Colorado  80523.
Proceedings of National Conference on Irrigation Return Flow Quality Management,
Colorado State University, Fort Collins, Colorado, p 353-359, May 16-19, 1977,
5 fig, 4 ref.

Descriptors:  Irrigation, Irrigation practices, Salinity, Seepage, Colorado River,-
Irrigation systems.

Introduction of channel seepage and irrigation percolation losses into the underT
lying soils and marine aquifer, and the eventual return of these flows to the
Colorado River with their large salt loads, make the Grand Valley in western
Colorado one of the more significant salinity sources in the Upper Colorado River
Basin.  The Grand Valley Salinity Control Demonstration Project was formulated to
delineate the magnitude of the water and salt flow components from the irrigation
systems to evaluate the effectiveness of various water management technologies in
reducing the salt load reaching the Colorado River, and to demonstrate appropriate
technologies on farmers' fields.
                                         266

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                                   SECTION  XXXV


                                   AUTHOR INDEX
Abernathy, G.H.
          77:03F-106

Acharya, H.S.
          77:02F-045

Affleck, S.B.
          77:056-016

Aguade, E.
          77:048-006

Aiken, J.D.
        '  77:02F-035

Alberts, E.E.
          77:07B-020

Alessi, J.
          77:03F-058

Alexander, D.M.
          77:04A-026

Alexander.- M.
          77:026-159

Alfaro, J.F.
          77:02G-058

Allen, J.F.
          77:020-054

Allen, R.G.
          77:03F-062

Allen, R.R.
          77:03F-020
          77:04A-040

Allmaras, R.R.
          77:02G-082

Alvarez,  E.I.
          77:020-008
Amato, M.
           77:02G-161
           77:020-162
Amble, V.N.
           77:03F-074

Amemiya, M.
           77:03F-051

Amerman, C.R.
           77:02G-128
Amoozegar-Fard, A.
          77:02G-020

Anderson, J.L.
          77:020-023
          77:020-024

Anderson, K.
          77:06E-003

Anderson, R.L.
          77:06E-010

Appell, G.
          77:07B-022

Ardakani, M.S.
          77:020-068
          77:04B-013

Arkin, G.F.
          77:07B-033
Aron, G.
          77:020-095
          77:04A-022
Arvlanandan, K.
          77:07B-012

Ashmead, R.M.
          77:056-023

Asmussen, L.E.
          77:050-002

Atkinson, T.C.
          77:02F-030
Au, A.K.
          77:020-067
Avnimelech, Y.
          77:020-134

Axthelm, D.D.
          77:02F-042
          77:02F-044
                               Ayars,  J.E
                                         77:056-013
Ayers, R.S
          77:050-001
Aylmore, L.A.G.
          77:02G-004
Babcock, K.L.
          77:020-084

Babu,  D.K.
          77:020-019

Baier, R.W.
          77:05B-054

Baird, F.L.
          77:02F-043

Baker, D.E.
          77:020-133
          77:05B-050

Baker ,- F. G .
          77:02G-174

Baker, J.L.
          77:05B-030
          77:056-024
Balek, J.
                                        77:02D-008
Ballaux, J.C.
          77:020-150
          77:058-032

Bar-Yosef,  B.
          77:03F-004

Barfield, B.J.
          77:02D-010
          77:02J-015
          77:02J-019
          77:02J-039
          77:03F-096
          77:04D-004
          77:04D-007

Barker, J.
          77:02G-091

Barlow, E.W.R.
          77:03F-055

Barlow, T.
          77:02J-022

Barnhisel,  R.I.
          77:020-121

Barr, D.E.
          77:02F-016

Barrett, J.W.H
          77:06A-001
                                        267

-------
Bartlett,  R.J.
          77:03F-031
Basak, P.
          77:02F-050
          77:02F-052
Bathchelder, A.R.
          77:058-010
Batu, V.
Bauer, A.
          77:04A-032
          77:03F-112
Bausch, W.
          77-.02G-037
          77:03F-023
          77:04A-004
          77:07B-019
Bean, E.L.
          77:03F-081

Beasley, D.B.
          77:02J-020

Beck, L.A.
          77:Q6E-001

Bedient, P.B.
          77:05B-027
Beese, F.
          77:026-003
          77:026-060
Bellis, W.H.
          77:05B-021

Belt, G.H.
          77-.03B-001

Benyamini, Y.
          77:026-050
Benz, L.C.
          77.-03F-019
Berk, W.J.
          77:05B-019

Berndt, H.D.
          77:040-006

Berthouex, P.M.
          77:05A-009
Beth, F.
          77:04A-028
Bevilacqua, D.P.
          77:08B-006

Beyerlein, D.C.
          77:02E-003

Bhattacharya, A.K.
          77:04B-002
Bhattacharya, R.N.
          77:02F-002

Bianchi, W.C.
          77:05A-007
          77:058-018

Biggar, J.W.
          77:026-041
          77:026-062
          77:02K-005
          77:05B-012
          77:056-034

Bingham, F.T.
          77 :02G-066
          77:058-028

Bird, J.W.
          77:06E-013

Birtles, A.B.
          77:02F-025

Bishop, A.B.
          77:050-003
          77:06A-002

Black, J.H.
          77 :02F-037
          77:046-007

Blackard, J.
          77:02J-023

Blackman, W.C., Jr.
          77:05G-021

Blackmer, A.M.
          77:02G-165
          77:07B-008

Blancher, R.W.
          77:026-069

Bliesner, R.D.
          77:05B-003

Bloom, P.R.
          77:026-130
          77:02G-131

Bloomfield,  R.A.
          77:026-137

Bloomsburg,  G.L.
          77:02G-137

Boast, C.W.
          77:02F-008

Boersmo,  L.
          77:03F-055

Bollen, W.B.
          77:02G-158

Bondurant,  J.A.
          77:02J-006
          77:02J-037
          77:04A-042
Bos, M.G.
          77:04A-011

Bostock, C.A.
          77:04B-004

Boswell, F.C.
          77:05B-036

Boulton, N.S.
          77:02F-047
          77:02F-048
                                                            Bouma,  J.
          77:026-023
          77:026-024
Bourodlmos, E.L.
          77:05B-025

Bowen,  J. E.
          77:03F-130

Bowie,  A.J.
          77:02J-029

Bowler, D.6.
          77:026-071

Boyd, C.E.
          77:078-004

Boyer,  J.S.
          77:03F-006

Bo.ysen, S.M.
          77:02J-035

Bradford,  J.M.
          77:040-001

Brakensiek, D.L.
          77:026-011
          77:026-093
          77:026-138

Brash,  D.W.
          77:03F-015
          77:03F-016

Bravo,  N.J.
          77:08B-008
Bree, J.
          77:026-087
Brehm, R.D.
          77:040-005

Bremner, J.M.
          77:026-119
          77:026-165
          77 :07B-008

Bresler, E.
          77:026-056
          77:02G-080
          77:026-081
                                       268

-------
Brewer, H.L.
          77:07B-033

Bridges, T.C.
          77:020-010

Broadbent, F.E.
          77:026-040
          77:02G-099
          77:02G-103
          77:02K-005

Brockway, C.E.
          77:04A-006

Brosz,  D.D.
          77:021-016

Brosz,  D.J.
          77:03F-077

Broughton,  R.S.
          77:048-002

Brown,  B.D.
          77:07B-016

Brown,  J.C.
          77:03F-022

Brown,  K.W.
          77:020-102
          77.-05B-006
          77:05B-011

Brown,  M.J.
          77:03F-042

Brown,  R.W.
           77.-02G-091

Bruce,  R.R.
           77:020-007
           77:03F-044

Brutsaert,  W.
           77:020-001
           77:02F-013
           77:02G-029

Bubenzer, G.D.
           77:02G-140

Buchheim, J.F.
           77:03F-050

Buchholz,  J.R.
           77:058-005

Bucks,  D.A.
           77:04A-035
           77:056-035

Bulkley, J.W.
           77:06A-003

Burau,  R.G.
           77:02G-106
           77:076-012
Buresh, R.
          77:076-032

Buresh, R.j.
          77:05A-002

Surges, S.J.
          77:02E-006

Burt, G.W.
          77:058-015

Burwell, R.E.
          77:02J-046
          77:05B-004
          77:078-020

Busch, C.D.
          77:088-009

Busch, J.R.
          77:03F-062
          77:04A-006

Buzio, C.A.
          77:056-015

Caldwell, A.C.
          77:03F-109

Calvert, D.V.
          77:058-041

Cameron, D.R.
          77:02G-021

Campbell, M.D.
          77:02G-055

Carlile, B.L.
          77:05G-005

Carlton, A.B.
          77-.02G-040

Carmack, W.J.
          77:02J-033

Caro,  J.H.
          77:05G-040
          77:05G-023

Carter, D.L.
          77:02J-006
          77:04A-042

Carter, J.N.
          77:05B-035

Gary,  J.W.
          77:07B-014

Casey, M.R.
          77:078-021

Castro, C.L.
          77:02G-135

Celnicker,  A.C.
          77:05G-021
Cerda, A.
          77:05B-028
Chadbourne,  B.
          77:02G-130

Chan, Y.K.
          77:02F-001
          77:02F-023

Chandrasekaran,  D.
          77:088-005

Chang, A.C.
          77:02G-168

Channon, M.C.
          77:03C-001

Chapin, R.
          77:03F-029

Chaplin, C.
          77:020-010

Chau, W.C.
          77:02F-034

Chauhan, H.S.
          77:02F-017
Chen, M.
          77:050-004
Cheng,  P.
          77 :02F-034

Chesness,  J.L.
          77:03F-080
          77:03F-086

Chichester, F.W.
          77:056-004

Chidley, T.R.E.
          77:02F-020

Chien,  S.H.
          77:02G-113

Chieng, S-T.
          77:048-002

Childs, S.W.
          77:020-011

Chin Choy, E.W.
          77 :03F-039

Chopra, M.M.L.
          77:03F-074
Chow, T.L.
          77:02G-016

Christiansen, J.E.
          77:05C-002
                                        269

-------
Chu, S.T.
          77:02F-032
          77:02G-075
          77:02G-125

Clapp, D.W.
          77:02F-041

Clark, D.L.
          77:03A-001

Clark, R.B.
          77:03F-022

Clothier, B.E.
          77:02G-065

Cochran, V.L.
          77:03F-012

Coelen, S.P-
           77:04A-022
 Cole,  D.W.
           77:02G-101

 Collis-George, N.
           77:02G-028

 Colorabera,  P.M.
           77:02G-002

 Conklin,  L.
           77:02J-007
Cutler, J.M.
          77 :02I-007

Daigger, G.T.
          77:050-002

Daigger, L.A.
          77:03F-127

Dalai, R.C.
          77:02G-110

Dane, J.H.
          77:02G-176

Daniel, W.H.
          77:03F-100
Das, O.K.
          77:03F-046
Davids, G.
          77:03F-028

Davidson, J.M.
          77:02G-022
          77:021-003
          77:05B-001

Davis, D.R.
          77:02J-005

Davis, H.H.
          77:02E-003
Delaney, R.H.
          77:02G-100

Deluane, R.D.
          77:02G-109

Delwiche, C.C.
          77:058-014
          77:07B-003

Dennis, C.W.
          77:020-092
Derr, D.
          77:03F-026
Deuel, I.E., Jr.
          77:05B-006

Deuel, L.E.
          77:05B-011

Dhillon, P.
          77:03F-026

Dick, W.A.
          77:02G-149
          77:07B-018

Digiano, F.A.
          77:05D-008

Dillow, D.W.
          77:02G-104
 Cooley,  R.L.
           77:02F-010

 Cooper,  J.D.
           77:02G-047

 Corapcioglu,  M.Y.
           77:02F-013

 Couvillon,  G.A.
           77:03F-086
 Cox,  W.E.
 Cox,  W.J.
           77:06E-007
           77:03F-032
 Crawford,  N.H.
           77:02E-003
           77:056-026

 Creel,  B.J.
           77:04A-009

 Crow,  F.R.
           77:02E-005

 Cruse,  R.M.
           77:02G-079
Davis, R.M.
          77:03F-052

Davis, R.W.
          77:07B-027
Davis, S.
          77:03F-092
          77:03F-114
          77:04B-009
                              Dawes, W.H.
                                        77:07B-021
                              Day, J.C.
                                        77:03F-005
                              Day, P.R.
                                        77:02G-111
 De  Datta,  S.K.
           77:02G-008

 Debler, W.
           77:088-013

 DeBoer, D.W.
           77:021-016
           77:03F-079
           77:04A-031
Dines, A.J.
          77:06A-005

Dixon, R.M.
          77:026-076

Dobrowolski, F.
          77:06E-008

Doering, E.J.
          77:03F-019

Donigian, A.S.
          77:02E-003

Donigian, A.S., Jr.
          77:058-026

Douglas, L.A.
          77:05B-025

Dransfield, A.S.
          77-.02G-055

Dreizin, Y.C.
          77:048-003
          77:048-012

Dronsfield, A.S.
          77:03F-069
 Cumberbatch,  E.R.St.J.
           77:03F-033
 DeJong,  J.F.
           77:02J-044
 Duble,  R.L.
           77:03F-076
                                        270

-------
Duguid,  J.O.
          77:02F-012

Duke, H.R.
          77:02G-141
          77-.05B-010

Dumenil, L.C.
          77:02G-119

Duncan, W.G.
          77:03F-096

Earl, K.D.
          77:03F-010
          77:03F-011

Eavis, B.W.
          77:03F-033
 Eck,  H.V-
           77:02G-144
 Edling,  R.J.
           77:03F-063
           77:040-007

 Edwards,  K.W.
           77:05A-006

 Edwards,  R.W.
           77:026-073

 Ehrler,  W.L.
           77:02L-001
 Eivazi,  F.
           77:02G-164
 Ekin,  L.G.
           77:02G-082

 El-Ghamry,  W.M.
           77:02G-033

 Elliott,  H.A.
           77:058-023

 Elliott,  L.F.
           77:03F-012

 Elliott,  L.S.
           77:02J-043

 Elprince, A.M.
           77:02G-111
           77:05B-007

 Enfield,  C.G.
           77:05E-002

 England,  C.B.
           77:02G-014
 Engleman, R.L.
           77:02J-011
 Erbach,  D.C.
           77:03F-041
Escarzaga, R,
          77:02G-152

Estes, R.D.
          77:02G-117

Evans, R.G.
          77.-04A-038
          77:05A-005
          77:056-014
          77:05G-013

Falco, J.W.
          77 :02J-031
Fan, L.T.
          77:05G-018
Fangmeier. D.D.
          77:03F-090

Fenn, L.B.
          77:02G-152
          77:05B-043

Fenster, c.R.
          77:02J-032

Fernando, M.J.
          77:078-012

Fetter, C.W., Jr.
          77:048-005
          77:050-005

Fischbach, P.E.
          77:02G-096

Fisher, P.O.
          77:076-005

Fiskell, J.P.A.
          77:058-001

Fitzsiminons, D.W.
          77:03F-062
          77:04A-006

Fluhler, H.
          77:02G-010
          77:048-013
 Fogel, M.
           77:02J-005
 Follett,  R.F.
           77:03F-019

 Folsom, B.L.
           77:078-013
 Ford, W.B.
           77:078-009
                               Foroud, N.
           77:04B-002
                               Foss, J.E.
           77:058-015
Foster, G.R.
          77:02J-025
          77:02J-041
          77:02J-042

Fox, R.L.
          77:02G-155

Francis, L.
          77:03F-102

Francois, L.E.
          77:030-001

Frank, A.B.
          77:03F-034
          77:03F-035

Franklin, W.T,
          77:030-002

Fraser, G.O.,  Jr.
          77:03F-105

French, O.F.
          77-.05G-035

Frenkel, H.
          77:02G-064

Frere, M.H.
          77:05G-023

Fried, M.
          77:058-038

Frind, E.G.
          77:05B-008

Fritton, D.D.
          77:058-050
          77:06D-002

Frown, G.A.
          77:050-006

Fryberger, I.S.
          77:058-021

Fryrear, D.W.
          77:03F-020

Fuchs, M.
          77:020-002

Fuerstenau,  D.W.
          77:02G-106

Fukuo, Y.
          77:02F-028

Galindo, G.G.
          77:02G-066

Gambolati, G.
          77:02F-006

Garcia-Miragaya,  J.
          77:02G-088
                                        271

-------
Gardner,  W.R.
          77:021-014
          77:021-015

Garner, M.M.
          77:03F-025

Gartner,  A.
          77:040-002

Carton, J.E.
          77:03F-039

Garvey, P.M.
          77:03F-080

Gascho, G.J.
          77:03F-064

Cast,  R.G.
          77:02G-098
          77:02G-121

Gauden, J.P.
          77:02G-077
Gaudu, R.
          77:02G-094
 Gaum, C.H.
          77:068-002
 Gear, R.D.
          77:02G-055

 Gelhar, L.W.
          77:04A-009

 Geschwender, R.C.
          77:07B-031

 Ghaibeh, A. Sh.
          77:02D-004

 Ghildyal, B.P-
          77:02F-017
          77:021-002

 Ghiorse, W.C.
          77:026-159

 Gibbs, M.M.
          77:078-002

 Gibson, J.A.
          77:06E-014

 Gilbert, R.G.
          77:04A-035

 Giles, J.F.
          77:021-012

 Gill, M.A.
          77:04A-015

 Gilley, J.R.
          77:020-011
          77:03F-136
          77:04B-015
Gilliam, J.W.
          77:03F-049

Gilmour, J.T.
          77:05C-004

Gisser, M.
          77:03F-018

Gitlin, H.M.
          77:04A-014
          77:08B-010

Gladigau, L.
          77:088-014

Gleaton, J.
          77:056-011

Godden, D.P.
          77:03F-013
Goh, K.M.
          77:03F-015
          77:03F-016
Goldhamer, D.A.
          77:026-039

Gole, C.V.
          77:03F-074

Goswami, K.P-
          77:05B-009

Grady, C.P.L., Jr.
          77:050-002

Graham, W.G.
          77:02F-041

Grant, D.M.
          77:078-026

Green, F.H.W.
          77:026-072

Green, R.E.
          77:058-009

Gregg, P.E.H.
          77 :03F-015
          77:03F-016

Gregory, J.M.
          77:026-139
          77:02J-016

Grenney, W.J.
          77:02J-038
          77:050-003

Grier, H.E.
          77:050-007

Griffin, R.A.
          77:02G-067

Griffith, D.R.
          77:03F-087
Grille, L.
          77:06E-008

Grimes, D.W.
          77:03F-099

Groenevelt, P.H.
          77:020001

Groote, S.G.
          77:026-092

Gross, T.A.
          77:06A-003

Guitjens, J.C.
          77:058-037

Gupta, G.C.
          77:050-007
                              6upta, S.K.
6upta, V.
                                        77:02G-041
                                                                      77:026-009
Gupta, V.K.
          77 :02F-002

.Gurovich, E.
          77:02G-108

Guthrie, D.L.
          77:078-024

Gutschick, V.P.
          77 :03F-131

Haan, C.T.
          77 :02D-009
          77:02J-019
          77:03F-096
          77:040-004
          77:040-007

Hachum, A.Y.
          77:02G-058
Hadas, A.
          77:026-006
Hagan, R.E.
          77:03F-002

Hagan, R.M.
          77:030-002

Hagan, W.R.
          77:02J-034

Hahne, H.C.H.
          77:026-147
          77:026-171

Haimes,  Y.Y.
          77:048-003
          77:04B-012
                                       272

-------
Haith, D.A.
         77:03F-066
         77:o5B-029

Hakonson, T.E.
         77:05B-005

Hallsworth, E.G.
         77-.02G-110

Halvorson, A.D.
         77:07B-006

Hamisch, F.
         77:04A-024
         77:086-015

Hamon, W.R.
         77:026-138

Hanks, R.J.
         77:02G-015
         77:03C-002
         77:03F-126
         77:04A-002
         77-.05B-003
         77:05G-006

 Hanson,  C.L.
         77:02E-002
          77:02J-011

 Hargrove,  R.
          77:03F-023
          77:04A-004

 Hargrove,  R.S.
          77-.02G-037
          77:058-042

 Hargrove,  W.L.
          77:02G-104
          77:058-043

 Harmon,  W.C.
          77:078-011

 Harper,  L.A.
          77:02G-007

 Harrington, R.A.
          77:02E-001

 Harris,  D.G.
          77:03F-034
          77:03F-035

 Harris,  J.
          77:078-009

 Harris,  W.
          77:03F-014

 Harris,  W.S.
          77:02G-117

 Barter, R.D.
          77:02G-133
Hassan, F.A.
          77 :02D-004

Hassett, J.J.
          77:021-013

Haug, R.M.
          77 :02G-089

Haupt, H.F.
          77:038-001

Hauser, E.W.
          77 :05G-002

Hauser, V.L.
          77:02E-004
          77:03F-095

Haverkamp,  R.
          77:02G-027

Hayes, J.C.
          77:02J-015
          77:02J-039

Heady, E.G.
          77:02J-014
          77:02J-045
          77:03F-053

Healy, M.L.
          77:05B-054

Heaney,  J.P.
          77:058-027

Becker,  G.E.
           77:088-002

Hedstrom, W.E.
           77:088-006

Heerman,  D.F.
           77:04A-020

Heermann,  D.F.
           77:03F-088
           77:05B-010

Heft,  F.E.
           77:02J-027

Heinemann,  H.G.
           77:02J-046
 Helweg, O.J.
           77:04A-001

 Helyar, K.R.
           77:03F-013

 Hendershott, C.H.
           77:03F-086

 Hendrick, J.G.
           77:03F-110
Herkelrath, W.N.
          77:021-014
          77:021-015
Herrera, I
          77:046-010
Hess, J.D.
          77:08A-001
Hess, R.E.
          77:02G-069

Hickey, J.J.
          77:05E-001

Highfill, R.E.
          77:02J-026

Hiler, E.A.
          77:04A-039
Hira, G.S.
          77:02G-151
Hoa, N.T.
          77:02G-094

Hockenbury, M.R.
          77:050-002

Hoffman, D.L.
          77:026-039

Hoffman, G.J.
          77:021-006
          77:058-028
Hogg, B.C.
          77:03F-001
Hohn, C.M.
          77-.04A-008

Holburt, M.B.
          77:06E-002

Holmgren, G.G.S.
          77:078-031
Holt, R.F.
          77:02J-008

Horner, G.L.
          77:04A-005
          77:05B-012

Hornsby, A.G.
          77:03F-007

Horton, M.
          77:05A-004
          77:05G-012
          77 :05G-011

Horton, M.L.
          77:02I-010
          77:021-011
                                        273

-------
Hossmer, L.R.
         77:07B-013

Howell, T.A.
         77:04A-039

Hoyt, G.D.
         77:02B-001

Huang, C.P.
         77:05B-023

Huber, W.C.
         77:058-027

Buck, M.G.
         77:021-017

Huggins, L.E1.
         77:02J-020

Hull, J.E.
         77:05G-017

Humpherys, A.
         77:03F-068
         77:03F-116

Hunsaker, V.E.
         77:03F-126

Huszar, P.
         77:06A-001

Hutka,  J.
         77:02J-001

Hwang,  C.L.
         77:05G-018
Hynes, R.
         77:02G-170
 Idike, F.
         77:070-002

 Idso, S.B.
         77:02L-001
         77:03F-054

 Irwin, R.W.
         77:026-122
         77:040-003

 Jackson, D.R.
         77:026-001

 Jackson, G.D.
         77:03F-043

 Jackson, R.D.
         77:02L-001
         77:03F-054

 Jackson, R.H.
         77:04A-021

 Jacob, C.M.
         77:02F-011
Jacober, F.C.
          77:03F-111

Jacoby,  E.L., Jr.
          77:020-003

Jain, J.K.
          77:03F-135

Jaiswal, C.S.
          77:02F-017
Jat, R.L.
          77:03F-046
Jauregui,  L.U.
          77:03F-093
Jegat, H.
          77:02G-077
Jensen, M.E.
          77:03F-008

Jeschke, J.L.
          77:02J-033

John, P.H.
          77:07B-002

Johnson, C.W.
          77:02J-011

Johnson, D.W.
          77:02G-101

Johnson, H.P-
          77:02G-139
          77:02J-016
          77:05B-030
          77:05G-024

Johnson, R.L.
          77:02F-018

Johnston, W.R.
          77:02G-122

Johnston, W.R.
          77:05G-020

Johnstons, W.R.
          77:021-004

Jolley, V.D.
          77:02G-053
          77:02G-120

Jonch-Clausen, T.
          77:026-002

Jones,  L.A.
          77:058-049

Jones,  M.B.
          77:05B-014
          77:07B-003

Jones,  O.R.
          77-.05B-034
Jones, W.E.
          77:03F-022

Judy, C.H.
          77 :04D-002

Juo, A.S.R.
          77:058-032

Jurinak, J.J.
          77:02G-078
          77:02J-038
Jury, W.A.
          77 :02G-010
          77:03F-010
          77 :03F-011
Juve, R.L.
          77:078-031

Kamburov, J.
          77:021-008

Kanchanasut, P.
          77:058-001

Kanemasu, E.T.
          77:020-005

Karmeli, D.
          77:03F-021
          77:03F-060
          77:03F-061
          77:04A-007

Kassas, M.
          77:060-001

Katopodes, N.D.
          77:04A-018
          77:04A-019
          77:05B-047

Kaushik, N.K.
          77:058-053
Kay, B.D.
          77:020001
Keeney, D.R.
          77:03F-045
          77:03F-056
          77:05B-002
          77:05B-017

Kelly, W.E.
          77:02F-036
Kempf, 0.
          77:078-029
Kennedy, S.
          77:03F-104
Keren, R.
          77:020-121
                                                           Kerr, J.P.
                                                                     77:02G-065
                                       274

-------
Khalid, R.A.
         77:02G-109

Khengre, S.T.
         77:02G-146

Kholdebarin, B.
         77:058-051

Kibler, D.F.
         77:060-002

Kiker, C.P.E.
         77:06E-006

Kimball, B.A.
         77:020-082

Kimberlin, L.W.
         77:02J-026
         77:02J-028

King, J.G.
         77:038-001

King, L.G.
         77:056-003

Kinnell, P.I.A.
         77:02J-001

Kinney, W.
         77:04A-005

Kipp, K.L., Jr.
         77:02F-037
         77:048-007

Kirkham, D.
         77:02G-139
         77:02J-016
         77:058-016

Kirkham, M.B.
         77:056-056

Kishi, Y.
         77:02F-028

Kissel, D.E.
         77:02G-104
         77:05B-043
         77:078-033

Klepper, B.
         77:021-017

Klepper, R.
         77:02F-027
Kley, W.
         77:056-022
Klusman, R.W.
         77:05A-006
Klute, A.
Knowles, R.
          77:02G-170

Kodama, M.
          77:04A-032

Koelliker, J.K.
          77:02G-129

Koeppe, D.E.
          77:021-013

Kohl, D.H.
          77:03F-042

Kormilo, S.R.
          77:078-030

Kouwen, N.
          77:02E-001

Kovda, V.A.
          77:02J-009

Kramer, P.J.
          77:021-001

Krishnamurthi, N.
          77:02F-031

Kroontje, W.
          77:02G-147
          77:02G-171

Krull, D.L.
          77:03A-001

Kruse, E.G.
          77:02G-141
          77:04A-020

Kunkel, R.
          77:056-005

Kuraz, E.V.
          77:076-023

Kurihara, K.
          77:02G-148

Laag, A.E.
          77:026-145
          77:048-009

Labadie, J.W.
          77:03F-088
          77:04A-001

Lacewell, R.D.
          77:05C-005

Ladd, J.N.
          77:026-161
          77:02G-162

Laflen,  J.M.
          77:058-030
 Laher,  M.
           77:02G-134
 Laidlaw,  I.M.S.
           77:078-001

 Lakatos,  D.F.
           77:026-095

 Lakshminarayana, V.
           77:02F-019

 Lai Asawa, G.
           77:08B-011

 Land, L.F.
           77:02F-022

 Landa, E.R.
           77:026-098

 Lansford,  R.R.
           77:04A-009

 Lapping, M.B.
           77:03F-017

 Larsen, R.
           77:03F-118

 Larson, C.L.
           77:070-002

 Larson, S.P.
           77:02F-003
           77:02F-029

 Larson, W.E.
           77:026-079

 Lashkari, R.S.
          77:056-018

 Laura, R.D.
          77:026-160

 Laverdiere, M.R.
          77:026-172

 Law, J.P.
          77:056-172

 Law, J.P-, Jr.
          77:03F-007

 Layton, J.J.
          77:06A-001

 Lazenby,  A.
          77:03F-014

Lee, P.C.Y.
          77:02F-012
Lee, Y.S.
                                                                     77:03F-031
         77:026-021
         77:026-176
                                       275

-------
Lefebre, V-
         77:02F-040

Lehmann, E.I.
         77:050-009

Leistra, M.
         77:058-052

Lembke, W.D.
         77:05D-001

Lenau, C.W.
         77:02F-015

Leonard, R.A.
         77:02G-007

Lettenmaier, D.P.
         77:02E-006

Levin, M.J.
         77:02G-001

Lewis, G.C.
         77:03F-062
         77:04A-006

Lewis, R.B.
         77:02E-004

Liggett, J.A.
         77:02F-009

Ligon, J.T.
         77:02G-054

Lin,  S.H.
         77:02F-024
         77:02G-124
         77:02G-143

Lindeborg,  K.H.
         77:02J-007

Lindsay, W.L.
         77:02G-112

Lloyd, J.W.
         77:02F-020

Lobello, A.J.
         77:06C-001

Lock, M.A.
         77:07B-002
Long, R.B.
          77:02J-007

Longenbaugh, R.A.
          77:02F-031

Loomis, R.S.
          77:021-007

Lowell, F.C., Jr.
          77:078-028

Ludwiok, A.E.
          77:021-012
          77:05B-055
          77:07B-035

Lund, L.J.
          77:02G-038
          77:02G-168

Lutz, J.A., Jr.
          77:026-147
          77:02G-171

Luxmoore, R.J.
          77:02G-032

Lynne, G.D.
          77:06E-006

Maas, E.V.
          77:021-006

Maclntyre, J.L.
          77-.02G-041

MacKenzie, A.F.
          77:05B-048

Mahannah, C.N.
          77:05B-037

Malcolm,  H.R., Jr.
          77:02J-013

Mallory,  R.
          77:03F-120
          77:03F-122

Mancini,  T.R.
          77:03F-106

Manges, H.L.
          77:04A-037
          77:078-021
Mantz, P.A.
          77:02J-003

Marelli, H.J.
          77:02J-044

Marion, G.M.
          77 :02G-084

Marshall, E.J.P.
          77:02G-073

Martens, D.C.
          77:05B-007

Martin, J.K.
          77:02G-156
          77 :02G-166

Martin, W.W.
          77:03F-078

Martinez, T.
          77:02G-144

Matousek, J.
          77:078-023

Mattigod, S.V.
          77:026-107
          77:02K-003

Mawdsley, J.A.
          77:020-001

McBride, M.B.
          77:026-130
          77:026-131

McCarthy, R.E.
          77:02J-036

McClymont, G.L.
          77 :02F-021

McDowell, LL.
          77:056-032

McFarlane, J.C.
          77:026-102

McHeniy, J.R.
          77:05B-033

McLaren, A.D.
          77:026-068
Logan, 0.
         77:06E-012
Manley, D.W.
          77:026-118
McLean, E.O.
          77:02B-001
Logan, T.J.
         77:028-001
         77:02J-030

Loganathan, P.
         77:026-106

Lomen, D.0.
         77:026-049
         77:026-061
Manley, R.E.
          77:026-142

Mannering, J.V.
          77:02J-032

Mansell, R.S.
          77:058-001
          77:05B-041
McMaster, 6.M.
          77:03F-059
          77:04A-006

McNeal, B.L.
          77:056-005

McNeill, E.
          77:05A-008
                                       27b

-------
McPherson, H.G.
         77-.03F-006

McRae, S.G.
         77:076-017

McWhorter, D.B.
         77:02F-004
         77:058-013
         77:05B-045

Meiri, A.
         77:021-008

Meisinger, J.J.
         77:058-035

Meister, A.D.
         77:02J-014

Melamed, D,
         77:020-015
         77:05G-006

Melstad, J.D.
         77:03F-079

Meneely, J.M.
          77:02G-034
Miller, J.E.
          77:021-013

Miller, R.D.
          77:026-056

Miller, R.H.
          77:02G-167

Miller, R.J.
          77:056-012

Miller, W.W.
          77:058-037

Mills, P.F.
          77:03F-038

Mishoe, J.W.
          77:03F-064

Mishra, B.K.
          77:078-015
Misra, C.
Miwa, E.
          77:078-015
                                        77:02G-148
Morgan, W.H.
          77:078-029

Morin, J.
          77:02G-050

Morrison, J.
          77:03F-024

Mortvedt, J.J.
          77:02G-059

Moss, A.J.
          77:02J-001

Mostertman, L.J.
          77:05G-015

Mualem, Y.
          77:02G-074

Mubarak, A.
          77:02G-083

Mukhtar, M.
          77 :05B-009

Mulkey, L.A.
          77:02J-031
 Menzel,  R.G.
          77-.02E-004

 Mercado,  A.
          77:02F-049
Miyamoto, S.
          77:058-040
 Mero,  T.
          77:078-022
 Merrill,  G.
          77:05G-010

 Meyer,  F.W.
          77:05G-017

 Meyer,-  L. D.
          77:02J-025
          77:02J-041
          77:02J-042
          77:02J-044
          77:078-011

 Michalson, E.L.
          77:02J-007

 Miller, A.C.,  Jr.
          77.-02G-095

 Miller, D.E.
          77:03F-048

 Miller, E.E.
          77:021-014
          77:021-015

 Miller, G.E.
          77:02G-114
Mock, J.J.
Moe, R. C.
          77:03F-041
                                        77:02J-033
Mohammed, R.A.
          77 :03F-090

Moldenhauer, W.C.
          77:02J-028
          77:03F-128

Moline, W.J.
          77:03F-127

Monke, E. J.
          77:02G-128
          77:02J-020
          77:02J-044

Moraghan, J.T.
          77:05A-002
          77:078-032

Morel-Seytoux, H.J.
          77:028-002

Moreshet, S.
          77:02D-002

Morgan, W.D.
          77:06E-009
Mullen, G.J.
          77:026-017
          77:02G-031

Mullineux, N.
          77:02F-023

Munns, D.N.
          77:026-155

Murphy, L. S .
          77:03F-109

Murray, W.A.
          77:02F-018

Murty, V.V.N.
          77:02F-038
          77:02F-050

Musick, J.T.
          77:04A-040

Mutchler, C.K.
          77:02J-010
          77:02J-029

Nakayama, F.S.
          77:04A-035
          77:05G-035

Narasimhan, T.N.
          77:02F-014

Narayanan, R.
          77:050-003
          77:06A-002
                                        277

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Navarro,  A.
          77:02F-039
Neff, R.
          77:02G-034
Neibling, W.H.
          77:02G-129

Neilsen, G.H.
          77:05B-048

Nelson, D.W.
          77:02G-173
          77:02J-021

Nelson, M.J.
          77:03P-119
New, L.
          77:03F-113
          77:03F-115
Newkirk, H.W.
          77:04A-041

Newland, L.W.
          77:02F-016

Newman, B.A.
          77:048-001

Nielsen, D.R.
          77:02G-017
          77:02G-018
          77:026-031
          77-.02G-062

Nightingale, H.I.
          77:05A-007
          77:05B-018

Nikolski, Y.N.
          77:03F-037

Nishita, H.
          77:026-089
Nix, J.P.
          77:02J-018
Nolte, B.H.
          77:04D-005
Nor, Y.M.
          77:02G-085
Nulsen, R.A.
          77:021-005
Nye, J.R.
          77:03F-101
Nyquist, W.E.
          77:02G-046

Nystrom, J.B.
          77:08B-002
Obbink, J.G.
          77:04A-026

O'Connor, G.A.
          77:02G-013

Oertli, J.J.
          77:05B-051

Ohmes, F.E.
          77:026-129
          77:04A-037

Olness, A.
          77:05G-033

Olsen, E.G.
          77:05C-002

Olsen, R.A.
          77:02G-083

Olsen, B.R., Jr.
          77:03F-103

Onken, A.B.
          77:026-037
          77 :02G-097
          77:03F-023
          77:04A-004
          77:058-042
          77:05C-005
          77:078-019

Onstad, C.A.
          77:02G-093
          77:02J-029
          77:02J-041
          77:02J-042

Ortiz, N.V.
          77:088-001

Ortolano, L.
          77:06A-004

Osborn, G.
          77:026-059

Oster, J.D.
          77:026-044

Otterby, M.A.
          77:04A-031

Page, A.L.
          77:026-088
          77:02G-168

Palacios, E.V.
          77:03F-005

Palkovics,  W.E.
          77:026-025

Pallas, J.E., Jr.
          77:03F-044
Palmer-Jones, R.W.
          77:03F-003

Pani, B.S.
          77:08B-016

Papendick, R.I.
          77:03F-012
          77 :03F-048

Parfitt, R.L.
          77:026-132

Parlange, J.Y.
          77:026-019
          77:026-127

Parsons, J.W.
          77:026-161
          77:026-162

Patrick, W.H., Jr.
          77:026-109
          77:021-019

Pavlik, 0.
          77:02D-008

Peaslee, D.E.
          77:026-150
Peck, A.J.
Peri, 6.
          77:026-032
          77:03F-021
          77:03F-060
Perold, R.P.
          77:04A-013

Perrens, S.J.
          77:02G-035

Perrier, E.R.
          77:02J-018
          77:078-009

Peters, D.B.
          77:07B-036

Petersen, G.W.
          77:026-025

Philip, J.R.
          77:026-002

Phillips, R.E.
          77:07B-029

Pick, T.A.
          77:02B-002

Pierre, W.H.
          77:026-053
          77:026-120
                                       278

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Piest, R.F.
         77:02J-040
         77:02J-043
         77:040-001

Finder, G.F.
         77:056-008

Pitney, M.
         77:03F-082

Pitt, W.A.J.,  Jr.
         77:05G-017

Ploss, L.F.
         77:03F-050

Pohoryles,  S.
         77:03F-018

Polemio, M.
         77:078-037

Poulovassilis, A.
         77:026-030
         77:02G-033

Power, J.F.
         77:03F-058

Prather, R.J.
         77:02G-154

Pratt, P.F.
         77:02G-038
         77:026-145
         77:02K-005
         77:048-009

Price, E.P-
         77:02G-045

Price, J.D.
          77:05B-006
          77:058-011

Pruitt,  W.O.
          77:03C-002
         77:058-012

Pugner,  P.E.
          77:05D-003

Purtymun,  W.D.
          77:058-005

Putkey,  T.A.
          77:02F-041

Qureshi, N.A.
         77:08B-002

Raats, P.A.C
         77:02G-026

Racotch, A.
         77:02J-002
Radosevich, G.E.
          77:06E-011
          77:06E-005
          77:06E-004
          77.-06A-004

Rains, D.W.
          77:021-007

Rajapopalan, S.P.
          77:02F-019

Rajaratnam, N.
          77:08B-001
          77:086-003

Ramamurthy, A.S.
          77:088-016

Raney, R.J.
          77:020-005

Ranga Raja, K.G.
          77.-08B-011
 Rango, A.
 Rao,  L.
 Rao, N.S.
           77:026-034
           77:088-005
           77:08B-005
 Rao,  P.S.C.
           77:026-022
           77:021-003

 Rauch,  H.W.
           77:02K-002

 Rausch,  D.L.
           77:056-031
           77:05G-032
           77:05G-033

 Ravelo,  C.J.
           77:04A-039

 Ravina,  I.
           77:026-108

 Rawlins,  S.L.
           77:04A-027

 Rawls, w.J.
           77:02G-138
Reddy, C.N.
           77:021-019
Reddy, G.Y.
Ree, W.O.
           77:028-001
           77:02E-005
           77:03F-089
 Reed, J.R.
           77:02F-023

 Reeves, M.J.
           77:02F-025

 Reginato, R.J.
           77:02L-001
           77:03F-054
 Reichman,  G.A.
           77:03F-019

 Reicosky,  D.C.
           77.-07B-036

 Reisenauer, H.M.
           77:03F-032
 Reins on,  I.
           77:04B-006
 Rennes, A.
           77:026-071

 Replogle,  J.A.
           77:088-007
           77:078-025

 Reule, C.A.
           77:078-006

 Reuss, J.O.
           77:021-012
           77:05B-055
           77:078-035

 Rhoades, D.L.
           77:05G-016

 Rhoades, J.D.
           77:056-001
           77:07B-037
           77.-07B-006

 Ribbens, R.W.
           77:056-008

 Rich, C.I.
           77:058-007

 Richey, C.B.
           77:03F-087

 Richter, W.
           77:026-060

 Rickman, R.W.
           77:026-082

 Ritchie, J.C.
          77:058-033

Robinson, W.H.,  Jr.
          77:05A-001

Robinson, J,B.
          77:058-053
                                       279

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Rochester, E.W.
          08B-009

Rodgers, N.
          77:03P-097

Rodriguez, R.
          77:03F-094
Roefs, T.G.
          77:04B-004

Rogers, J.S.
          77:05B-041

Rogers, R.D.
          77:02G-090

Rogowski, A.S.
          77:020-003

Rolfe, P.F.
          77:02G-004

Rolston, D.E.
          77:02G-039
          77:02G-103
          77:02G-135
          77:07B-016

Romkens, M.J.M.
          77:02G-173
          77:02G-021

Rosenburg, N.J.
          77:03F-040

Rosensheim, J.S.
          77:05E-001

Rosenthal, W.D.
          77:020-005
Ross, J.D.
Ross, R.
          77:02E-004
          77:03F-009
          77:058-044
          77:05G-037'
Ross, W.D.
          77:02G-100
Roth, C.B.
          77:020-173
          77:02J-021

Rouse, W.R.
          77:03F-038

Routson, R.C.
          77:050-003

Roye r, J. M.
          77:02G-047
                             Rubin, H.
Ruen,  J.
          77:02F-007
          77:03F-117
Rushton, K.R.
          77:02F-001
          77:02F-026
 Russo,  D.
           77:02G-080
           77:02G-081
 Rutherford, T.
           77:02G-089

 Sabey, M.B.
           77:06E-011

 Saffigna,  P.G.
           77:03F-045
           77:03F-056
           77:058-002
           77:05B-017
Sagar, B.
Sagi, R.
           77:02F-046
          77:02J-002
Sahrawat, K.L.
          77:026-163
Sain, P.
          77:02G-099
          77:05B-053
Sammis, T.W.
          77:04A-008

Sandhu, B.S.
          77:021-010
          77:021-011

Sandia Laboratories
          77:080001

Sandoval, F.M.
          77:03F-111

Sangi, A.K.
          77:02F-027

Savant, N.K.
          77:02G-146

Sawhney, B.L.
          77:046-014

Saxton, K.E.
          77:03F-027
          77:05B-004
Say, E.W.
                                       77:06A-005
 Scharplax,  J.D.
            77:07B-021

 Scherer, C.R.
            77:050-003

 Schleicher, J.
            77:03F-071
            77:03F-121

 Schmidt, K.D.
            77:05B-020
 Schmugge,  T.J.
           77:02G-034

 Schneider,  A.D.
           77:05B-034

 Schreiber,  J.D.
           77:05G-031
           77:05G-032

 Schuman,  G.E.
           77:02J-046
           77:05B-004
           77:078-020

1 Schwab,  G.O.
           77:040-005
           77:08B-008

 Schwartz,  F.W.
           77:02F-021
           77:02F-033

 Scott, V.H.
           77:02F-038

 Scotter,  C.N.G.
           77:02G-073

 Scotter,  D.R.
           77:02G-065

 Selim, H.M.
           77:02G-022
           77:021-003
           77:058-001

 Sepaskhah, A.R.
           77:021-009

 Shaffer, M.J.
           77:05G-008
           77:056-019

 Shahane, A.N.
           77:03F-072

 Shalhevet, J.
           77:021-008

 Sharma, R.B.
           77:021-002

 Sharma, T.C.
            77:040-003
                                       280

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Sharpley, A.M.
          77.-05A-003

Sheahan, N.T.
          77:048-011

Shearer, G.
          77:020-113

Shearer, M.N.
          77:03F-030
          77:04A-036

Shelton, C.H.
           77:02J-017

Sheridan, J.M.
           77:050-002
 Shih,  S.F.
 Shoji,  K.
           77:03F-064
           77:03F-067
 Shrader,  W.D.
           77:05B-030

 Shuford,  J.W.
           77:05B-050

 Shuman, L.M.
           77:020-086

 Siebert,  J.E.
           77:07B-005

 Silberman, E.
           77:06B-001

 Simmons,  C.S.
           77:020-041

 Simpson,  E.S.
           77:048-004
Sinha, B.K.
          77:020-051

Sionit, N.
          77:021-001

Sisson, J.B.
          77:04A-003
Sitar, N.
          77:04B-006
Skaggs, R.w.
          77:020-116
          77:020-126
          77:03F-049
          77:04A-025
Skogerboe, G.V.
          77:03F-057
          77:05A-005
          77:058-013
          77:050-013
          77:050-014
          77:05G-022
          77:06E-005
          77:07C-001

Slabbers, P.J.
          77:02D-006

Slack,  D.C.
          77:02D-009
          77:020-123
          77:07C-002

Sloneker, L.L.
          77:03F-128
Small, L.
          77:03F-026
 Sims, J.R.
           77:03F-043
Smallwood, C., Jr.
          77:02J-013

Smart, P.L.
          77:07B-001
Smith, S.J.
          77:02G-104
          77:026-114

Smith, S.W.
          77:03F-057
          77:05A-005
          77:050-013

Solomon, K.
          77:04A-032
          77:04A-034
          77:08B-012

Solomon, S.I,
          77:02E-001

Soltanpour, P.N.
          77.-05B-055
          77:07B-035

Sommerfeldt, T.G.
          77:050-036

Sorenson, R.E.
          77:03F-129

Spaulding, B.W.
          77:03F-053

Spencer, J.
          77:05A-004
          77:050-011
          77:050-012

Splinter, W.E.
          77:02D-011

Spomer, R.G.
          77:02J-043
          77:02J-046

Sposito, G.
          77:02F-002
          77:02G-009
          77:02G-052
          77:020-107
          77:02K-003
 Sinai, G.
           77:02G-115
Smeck, N.E.
          77:05B-049
Stammers, W.N.
          77:058-053
 Singer, M.J.
           77:02J-023

 Singh, N.T.
           77:02G-151

 Singh, S.R.
           77:02F-011
           77:02F-046
           77:02G-051

 Singh, U.P.
           77:02G-054
Smika, D.E.
          77:056-010

Smith, J.H.
          77:02J-005

Smith, J.L.
          77:05B-045

SmithV.J-P-
          77:02J-011

Smith, R.E.
          77:020-127
Stanford,  G.
          77:058-035

Stanhill,  G.
          77:020-002

Stansell,  J.R.
          77:03F-044

Starr,  J.L.
          77:02G-063

Steenhuis, T.S.
          77:02G-140
          77:03F-066
                                        281

-------
Stegman, E.G.
         77:03F-112

Stephenson,  R.L.
         77:05A-010

Stevenson, K.R.
         77:021-005

Steward, R.B.
         77:03F-038

Stewart, B.A.
         77:05G-023
         77:05G-040

Stewart, E.H.
         77:05B-041

Stewart, J.I.
         77:030002

Stivers, R.K.
         77:020-046

Stolzy, J.L.
         77:02G-032

Stolzy, L.H.
         77:02G-010
         77:04B-013

Stone, J.F.
         77:03F-039

Stone, L.R.
         77:020-005
         77:05G-039

Strelkoff, T.
         77:04A-017
         77:04A-018
         77:04A-019
         77:05B-047

Streltsova, T.D.
         77:02F-047
         77:02F-048
Su, Y.S.
         77.-05D-008
Suarez, D.L.
         77:02G-064
         77:02K-001
         77:05G-016
         77:05G-001

Subr amanya, K.
         77:08B-016

Sullivan, P.
         77:02G-009

Sullivan, T.E.
         77:03F-126
Sunada, O.K.
         77:02F-031

Sunderman,  H.D.
         77:02G-097
         77:076-013

Swartzendruber,  D.
         77:026-046

Swenson, R.S.
         77:04A-010

Swoboda, A. R.
         77:02G-036
         77:05G-026

Syers, J.K.
         77:02G-071
         77:05A-003

Symeonides, C.
         77:078-017

Szuszkiewicz,  T.E.
         77:048-013

Tabatabai,  M.A.
         77:02G-085
         77:02G-149
         77:02G-164
         77:076-018

Tandy, D.F.
         77:060-002

Tang, Y.K.
         77:02G-116
         77:04A-025

Tanji, K.K.
         77:02G-041
         77:04A-005
         77:058-012
         77:05B-038
         77:05G-034

Tanner, C.B.
         77-.03F-056
         77:058-002
         77:058-024

Terman, G.L.
         77:026-057
         77:03F-047

The Task Committee
         77:04A-012
         77:05B-046

Theis, T.L.
         77 :05D-006

Thirriot, C.
         77:02G-094
Thomas, A.W.
          77:026-007
          77:026-141

Thomas, G.W.
          77:058-039

Thorvig, L.
          77:026-098

Thurtell, G.W.
          77:021-005

Tiedje, J.M.
          77:02J-024

Tillman, R.W.
          77:02G-071
          77:05A-003

Timmons, D.R.
          77:02J-008

Tiwari, S.C.
          77:050-007

Tofflemire, T.J.
          77:050-004

Tolba, M.K.
          77:05G-025

Tollner, E.W.
          77:02J-039
          77-.04D-004

Tomlinson, L.M.
          77:02F-026
Touma, J.
          77:026-027
Towle, C.L., Jr.
          77:048-008
Toy, D.W.
                                                           Trava, J.
          77:026-039
          77:03F-088
Trescott, P.C.
          77:02F-003
          77:02F-029

Tromble, J.M.
          77:02D-007

Trotter, R.J.
          77:060-002

Trouse, A.C., Jr.
          77:026-136

Trout, T.J.
          77:058-045
                                       282

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Tubbs, L.J.
         77:05B-029

Tucker, B.B.
         77:03F-109
Turk, G.
         77-.08B-004
Turner, F.C.
         77:056-006
         77:053-011

Tyler, D.D.
         77:05B-039

Unger, P.W.
         77:03F-036

Unger, S.G.
         77:02G-153

Vachaud, G.
         77:026-027
         77:02G-047
         77:026-077

Vachirakornwatana, C.
         77:040-004

Van  De Pol,  R.M.
         77:026-018
         77:05B-038

Van  Der  Ploeg,  R.R.
         77:02G-003
         77:026-060

Van  Genuchten,  M.T.
         77:026-012
         77:026-013
         77:05B-008

Van  Schilfgaarde,  J.
         77:026-042

Vanderberg,  A.
         77:02F-051

Vauclin, M.
         77.-02G-027

Veith, J.A.
         77:026-052

Verma, S.B.
         77:03F-040

Verstraete,  W.
         77:026-157

Vieth, G.R.
         77:03F-001

Vincenty,  C.
         77:078-024

Vlachos, E.
         77:06A-001
Vlek, P.L.G.
         77:02G-112

Voets, J.P.
         77:02G-157

Volz, M.G,
         77:02G-063
         77:02G-105
         77:078-034

Von Bernuth, R.D.
         77:04A-033

Voorhees, W.B.
         77:03F-110

Vredenburg, R.T.
         77:026-005

Wade, P.M.
         77:026-073

Wade, J.C.
         77:02J--045

Wagenet, R.J.
         77:026-062
         77:026-078
         77:02J-038

Wagner, T.P.
         77:06A-004

Waldron, L.6.
         77:026-070

Wall, M.K.
         77:021-018

Walker, P.H.
         77:02J-001

Walker, P.N.
         77:03F-065
         77:050-001

Walker, T.W.
         77:03F-015

Walker, W.R.
         77:03F-057
         77:05A-005
         77:05G-007
         77:056-009
         77:05G-013
         77:056-014
         77:06A-006
         77:06E-007
         77:078-010
         77:09C-001

Walsh, L.M.
         77:03F-108

Walter, M.F.
         77:026-140
         77:03F-066
Wang, J.-K.
          77:03F-002

Ward, A.D.
          77:02J-019

Warneke, J.E.
          77:026-168

Warrick, A.W.
          77:026-017
          77:026-020
          77:026-031
          77:026-043
          77:026-049
          77:026-061

Washington, D.R.
          77:078-024

Watson, K.K.
          77:026-035

Watts, D.6.
          77:048-015

Weaver, R.M.
          77:026-172

Weed, S.B.
          77:03F-049

Weisz, R.N.
          77:048-008

Wells, B.R.
          77:050004

Wells, L.6.
          77:020-009
          77:026-126

Welsh, G.
          77:03F-098

Wendt, C.W.
          77:026-037
          77:03F-023
          77:04A-004
          77:058-042
          77:050-005
          77:078-019

Wengert, N.I.
          77:06E-010

Werner, D.
          77:058-022

Westerdahl, L.E.
          77:02J-018

Westerjnann, D.T.
          77:058-035

Westfall,  D.6.
          77:058-006
                                        283

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Wheeler, W.B.
         77:058-041

White, A.W.,  Jr.
         77:05G-002

White, E.L.
         77:04A-022
         77:060-002

White, G.M.
         77:020-010
White, I.
         77:02G-002
White, J.
         77:03F-124

White, W.B.
         77:02K-002

Whiteley, H.R.
         77:05B-053
 Whitlock, W.W.,
          77:05B-
Jr.
•031
 Whitmore,  J.C.
          77:020-078

 Wiebe,  H.H.
          77:02G-091

 Wierenga,  P.J.
          77.-02G-005
          77-.02G-012
          77:02G-013
          77:02G-018
          77:02G-027
          77:02G-077
          77:026-175
          77:04A-003
          77:04A-029

 Wiersma,  J.L.
          77:021-016

 Wiese,  A.F.
          77:04A-040
          77:05B-034
Wilkinson, J.F.
         77:02G-167

Willardson, L.S.
         77:02G-015
         77:04A-002
         77:056-003
         77:05C-002
         77:05G-006

Williams, J.R.
         77:040-006

Williams, W.A.
         77:058-014
         77:07B-003

Willis, R.
         77:046-001

Willis, W.O.
         .77:026-005
         77:03F-034
         77:03F-035

Willis, C.G.
         77:056-021

Wilson, D.O.
         77:02G-169

Wilson, G.C.
         77:02G-144

Wilson, T.V.
         77-.02G-054

Wimberly,  F.L.
         77:02E-005

Wischmeier, W.H.
          77:05G-023

Wischmeir, W.H.
          77:05G-040

Witherspoon,  P.A.
          77:02F-014

Wolman, M.G.
          77:02J-004
                                                           Wu, I.
                                           Wu,  I.-P.
                                                     77:04A-014
                                                     77:088-010
                                           Yare, B.S.
                                                     77:056-019
                                           Yates, R.
                                                     77:046-010
Yoshinari, T.
          77:02G-170

Young, E.G.
          77:02G-048

Young, H.Y.
          77:056-009

Young, J.L.
          77:03F-055

Young, L.B.
          77:026-114

Young, R.A.
          77:02J-010
          77:070-002
                                           Yu, K.Y.
                                                     77:05A-009
                                           Zantua, M.I.
                                                     77:02G-119

                                           Zaslavsky, D.
                                                     77:026-115

                                           Ziemnicki, S.
                                                     77:02J-040

                                           Zimmerman, D.C.
                                                     77:03F-058

                                           Zubriski, J.C.
                                                     77:03F-109
 Wiese,  R.A.
          77:03F-109
          77:03F-129

 Wilding,  L.P.
          77:056-049
             Wood, J.D.
                      77:026-044

             Woolhiser, D.A.
                      77:05G-023
                      77:056-040
 Wildung,-  R.E.
          77:05C-003
             Worthington, P.F.
                      77:02F-005
 Wilke,  O.C.
          77:02G-037
          77:03F-023
          77:04A-004
          77:056-042
          77:050-005
          77:078-019
             Wright, J.L.
                      77:03F-042

             Wright, M.E.
                      77:05A-001

-------
                                  SECTION XXXVI
                                  SUBJECT INDEX
Abatement
           77:05D-009
Absorption
Acids
           77:021-002
           77:03F-032
           77:053-054
           77:05B-056
           77:05A-010
Activated  Sludge
           77:050-002

Administrative Agencies
           77:05G-021
Adsorption
           77;
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77 :
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77:
02G-012
02G-013
02G-018
02G-021
02G-022
02G-052
02G-066
02G-067
02G-068
02G-086
02G-101
02G-106
02G-111
02G-121
02G-124
02G-130
02G-132
02G-133
02G-143
02G-147
02G-151
02G-154
02G-172
05B-001
05B-007
05B-023
05B-052
05B-054
05D-004
05D-005
Aeration
           77:050-002
.s,zlcultur.il Activities
           77:03F-007

Agricultural Chemicals
           77:02E-004
           77:058-006
          77:05B-009
          77:05G-OU
-------
Algorithms
          77:04A-001
          77:04B-001

Alkaline Soils
          77:02G-164

Alkalinity
          77:02F-030

Alluvial Aquifers
          77:05B-005
          77:058-020
          77:05B-021

Alluvial Fans
          77:02F-028
 Alluvium
           77:05B-021
 Alternative  Planning
           77:04A-022

 Alternative  Practices
           77:05G-024
 Aluminum
           77:02G-130
           77:02G-131
 Amino Acids
           77:05A-010
           77:078-001

 Ammonia
           77:02G-146
           77:02G-152
           77:05A-010
           77:05B-025
           77:05B-036
           77:050-005
           77:050-007
           77:07B-033

 Ammonification
           77:02G-160
 Ammonium Compounds
           77:02G-068
           77:05A-010
           77:05B-051

 Ammonium Salts
           77:058-043

 Analog Models
           77:086-008
 Analysis
           77 :02D-001
           77:02F-002
           77:02F-017
           77:02G-033
           77:02J-041
           77:058-050
           77:08B-011
Analytical Techniques
          77:020-001
          77:02F-002
          77:02F-012
          77:02F-016
          77:02F-026
          77:02F-052
          77:026-001
          77:02G-005
          77:02G-008
          77:026-021
          77:026-047
          77:026-056
          77:026-078
          77:026-083
          77:026-125
          77:026-128
          77:026-175
          77:05A-003
          77:05A-009
          77:05A-010
          77:05B-006
          77:058-008
          77:058-009
          77:058-048
          77:058-049
          77:058-050
          77:050-004
          77:088-004

Animal Wastes
          77:026-145

Anion Exchange
          77:026-098
Aquicludes
Anions
          77:02G-052
          77:026-057
          77:026-101
          77:026-111
          77:05B-042
Anisotropy
                               Annual
          77:02F-019
                                         77-.04B-004
Antecedent Precipitation
          77:026-034
Apples
           77:04A-026
Application Methods
           77:021-016
           77-.05A-010
           77:06A-006
           77:060-002

Appropriation
           77:06E-013

Aqueous  Solutions
           77:026-001
           77:03B-001
           77:05A-009
           77:05B-016
           77:02F-0:
Aquifer Characteristics
          77:02F-003
          77:02F-010
          77:02F-023
          77:02F-029
          77:02F-039
          77:02F-040
          77:02F-046
          77:02F-047
          77:02F-048
          77:04B-007
          77:05E-001
          77:08B-004

Aquifer Management
          77:048-010

Aquifer Systems
          77:02F-022
          77:048-010
          77:06A-006

Aquifer Testing
          77:02F-001
          77:02F-006
          77:02F-037
          77:046-007
          77 :04B-010
          77:058-018
                            Aquifers
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77:
           77 :
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           ~>~1 :
           77:
           77;
           77;
           77:
           77:
           77:
           77:
02F-001
02F-004
02F-005
02F-006
.02F-007
02F-011
;02F-013
;02F-015
;02F-017
:02F-019
:02F-020
:02F-021
:02F-023
:02F-025
:02F-026
:02F-027
:02F-036
:02F-037
:02F-038
:02F-039
:02F-041
:02F-046
:02F-049
:02F-050
:02F- >5'
 04A-001
 04B-001
 04B-004
 048-006
 048-008
 04B-010
 04B-011
                                        286

-------
          77:04B-012
          77:05B-005
          77:058-018
          77:058-019
          77:058-022
          77:058-034
          77:05E-001
          77:05G-017
          77:078-002
Aquitards
          77:02F-037

Arid Climates
          77:020-006
          77:05G-026
Arid Lands
Arizona
Arkansas
Arsenic
          77:03C-001
          77:05G-026
          77:060-001
          77:02G-042
          77:02J-015
          77:02K-001
          77:03A-001
          77-.03F-070
          77:03F-125
          77:04A-030
           77:02J-018
           77: 05C-004
           77:02G-069
Artesian Aquifers
           77:02F-040

Artesian Heads
           77:02F-015

Artificial Recharge
           77:048-011
           77:05A-007
           77:058-018
Asphalt
           77:05G-036
Atlantic  Coastal Plain
           77:058-019

Atmosphere
           77:020-001
           77:02F-030

Automatic Control
           77 : 03T--104
 Automation
          77:03F-030
          77:03F-104
          77:03F-123
          77:03F-125
          77:04A-038
          77:07B-005
Backwater
         77:02E-001
Borehole Geophysics
           77:02F-021
Bacteria
                              Boron
                              Barley
         77:02G-105
         77:050-002
         77-.07B-034
         77:026-070
         77:058-056
           77:02G-154
           77:03F-130
Base Flow
                              Beans
         77:02F-018
         77:02G-025
         77:05B-021
         77:04A-006
         77:056-017
                              Bed Load
          77:02J-001
          77:02J-002
          77:02J-003
          77:02J-011
                              Bottom  Sediments
                                         77:05G-033
Boundaries (Surfaces)
           77:02F-004
           77:02F-008
           77:02F-009
           77:02F-028
           77 :08B-008
Boundary Layers
           77:020-001
           77:02F-010
           77 :08B-003
Bromides
           77 :05B-002
           77:058-042
Beds
          77:02J-002
Behavior
          77:048-012

Beneficial  Use
          77:06E-013

Benefits
          77:03F-005
          77:04A-022

Bibliographies
          77:04A-012

Bicarbonates
          77:05B-005

Biochemical Oxygen Demand
          77:05G-018

Biological  Treatment
          77:050-008
 Biomass
          77:021-018
 Bluegrasses
          77:03F-012

 Border Irrigation
          77:04A-017
          77:04A-018
          77:04A-019
Brucine Method
           77:05A-009

Bulk Density
           77:02G-079
           77:02G-082
           77:02G-151
           77:02G-168
           77:02J-010
           77:03F-110
           77:07B-023

Cadmium
           77:020-088
           77:021-013
           77:021-019
           77:05A-006
           77:05B-056
           77:050-005
           77:07B-017

Cadmium Uptake
           77 :05B-056

Calcareous Soils
           77:02G-161
           77:020-162
           77:02K-001
           77:05B-040
           77:056-043
Calcite
                              Calcium
           77:02F-030
           77:02K-001
           77 :02K-002
                                         77:02F-016
                                         77:02F-030
                                         77-.02G-064
                                         77:02G-066
                                         77:02G-080
                                         77:020-081
                                         77:02G-106
                                       287

-------
          77:02G-107
          77:02G-108
          77:02G-155
          77:02J-008
          77:03F-032
          77:04B-009
          77:05B-005
          77:05B-049
          77:050-006

Calcium Carbonate
          77:02G-100
          77:02K-001
          77:05G-001

Calcium Chloride
          77:02G-004
          77:02G-077

Calibrations
          77:02G-047
          77:05A-001
          77:07B-029
California
Canada
          77:02F-013
          77:02G-038
          77:02G-045
          77:03F-120
          77:04B-011
          77:05A-007
          77:056-014
          77:05B-018
          77:058-020
          77:058-051
          77:05G-010
          77:06E-002
          77:078-003
          77:02F-021
          77:05B-048
Canal Design
          77:03F-002

Canal Linings
          77:056-013
          77:056-014
          77:08A-001

Canal Seepage
          77:03F-063
          77:03F-095
Canals
Canopy
          77:026-048
          77:03F-005
          77:08A-001
          77:08B-005
          77:086-007
          77:02L-001
Capillary Action
          77:02F-031

Capillary Conductivity
          77:026-011
          77:026-029
Capillary Water
         77:026-011
         77:02G-033
         77:026-141

Carbon
         77:026-156
         77:026-166
         77:07B-014

Carbonate Dioxide
         77:02F-030
         77:02K-002

Carbonate Rocks
         77:02K-002

Carbonates
         77:026-084
         77:058-005
Carrots
         77:03F-079
Cation Exchange
         77:026-064
         77:026-066
         77:026-068
         77:026-082
         77:026-088
         77:026-107
         77:026-108
         77:026-119
         77:026-121
         77:02G-155
         77:058-033
         77:056-034
         77:078-012
         77:078-031
         77:07B-037
Cations
Caves
                              Cements
         77:02F-016
         77:026-004
         77:026-057
         77:026-106
         77:026-107
         77:026-108
         77:03F-032
         77:048-009
         77:02F-030
         77:02K-002
         77:026-046
Center Pivot  Systems
         77:04B-015

Central United States
         77:026-034

Centrifugation
         77:026-083
Cesium
         77:026-004
         77:058-007
Channel Erosion
           77:02J-043
           77:04A-015

Channel Flow
           77:02E-005
           77:02G-142
           77:04A-015

Channel Improvement
           77:04A-015
Channels
Chelation
           77:02F-011
           77:02J-013
           77:04A-015
           77:088-003
           77:08B-007
                                        77:02J-024
Chemical Analysis
           77:026-173
           77:05A-009
           77:05G-033

Chemical Oxygen Demand
           77:02J-008

Chemical Potential
           77:05A-009

Chemical Precipitation
           77:026-015
           77:02K-001
           77:05B-001
           77:058-023

Chemical Properties
           77:026-047
           77:02G-173
           77:05A-009
           77:058-007
           77:056-033

Chemical Reactions
           77:02K-005
           77:05A-002
           77:05E-002
                             Chemicals
Chemistry
           77 :02E-004
           77:02F-049
           77-.03F-133
           77:05A-002
           77:05A-007
           77:058-005
           77:02F-030
           77:026-004
           77:026-083
           77:02G-173
           77:02K-002
           77:058-023
                             Chiselling
           77:02G-082
                                       283

-------
Chlorides
          77:02F-016
          77:02G-004
          77:02G-018
          77:02G-023
          77:02G-024
          77:03F-045
          77:03F-056
          77.-05B-002
          77:058-005
          77:05B-015
          77:05B-017
          77:05B-039
          77:056-050

Clay Loam
          77.-02G-010
          77:02G-012
          77:02G-013
          77:02G-017
          77:02G-023
          77:02G-024
          77:021-002

Clay Minerals
          77:02F-005
Clays
          77:020-004
          77:02G-004
          77:02G-008
          77:02G-027
          77:02G-036
          77:026-054
          77:02G-064
          77:02G-067
          77:02G-088
          77:02G-104
          77:02G-121
          77:02G-130
          77:026-131
          77:026-147
          77:026-173
          77:03F-095
          77:040-005
          77:050-001
          77:076-006
Climates
          77:02G-129
          77:03F-043
          77:04A-036
          77:058-024
          77:056-026
          77:060-001
          77:060-002

Climatology
          77:020-006
          77:03F-132
Clogging
Clovers
          77:04A-035
          77:056-035
          77:07B-003
Cohesion
         77 :02G-070

Cohesionless Soils
         77:02J-003

Colorado
         77:021-012
         77:03F-098
         77:05A-005
         77:058-013
         77:056-055
         77:056-007
         77:056-013
         77:056-014
         77:06E-010
         77:06E-011
         77:07B-035

Colorado River
         77:02F-035
         77:02G-042
         77:05A-005
         77:05B-013
         77:056-013
         77:056-014
         77:06E-002

Columbia River
         77:056-005

Compaction
         77:02F-006
         77:02F-013

Compressibility
         77:02F-012
         77:02F-014
         77:02F-047
         77:02F-048

Computer Models
         77:020-005
         77:02F-001
         77:02F-019
         77:02F-022
         77:02F-025
         77:02F-026
         77 :02F-^31
         77:026-014
         77:026-027
 Computers
Coastal Plains
          77:056-002
         77:058-026
         77:050-001
         77:086-009
Computer Programs
         77:02E-002
         77:02F-029
         77:026-107
         77:02J-014
         77:02J-020
         77:02J-038
         77.-03F-007
         77:03F-050
         77.-03F-129
         77:056-029
         77:056-030
         77:078-010
         77:088-006
 Concrete
            77:02E-001
            77:03F-072
            77:048-
            77:040-006
            77:05B-047
            77:08A-001
 Conductivity
            77:02F-021
            77:02F-036
            77:026-015
            77:05A-007

 Confined Water
            77:02F-015
            77:02F-023
            77:02F-028
            77:02F-052

 Conjunctive  Use
            77:04A-001
            77:04B-003

 Conservation
            77:056-024

 Consolidation
            77:02F-006
           77:02F-013

 Constraints
           77:03F-018
           77:048-006
           77:048-008
           77:056-018

 Consumptive Use
           77:021-002

 Contour Farming
           77:02E-004
Control
           77:048-001
           77:048-003
           77:056-003
Convections
           77:02F-007
           77:02F-034
           77:058-022

Conveyance Structures
           77:03F-002
Cooling
                                                           Copper
                                                           Cores
                                                           Corn
           77:020-010
           77:05A-006
           77:02G-126
           77:056-033
           77:020-011
           77:02F-027
                                       289

-------
          77:02G-037
          77:02G-046
          77:02G-053
          77:02G-105
          77:02G-120
          77:02G-141
          77:02G-171
          77:021-005
          77:021-013
          77:021-016
          77:03F-019
          77-.03F-023
          77:03F-041
          77:03F-055
          77:03F-065
          77 :03F-096
          77:03F-098
          77:03F-126
          77:04A-031
          77:056-030
          77:05B-036
          77:058-038
          77:05B-039
          77:058-042
          77:05G-024
          77:05G-039

Corn (Field)
          77:020-005
          77:020-009
          77:02G-096
          77:03F-006
          77:040-005
          77:058-004

Correlation Analysis
          77:020-001
          77:02F-003
          77:02F-016

Cost Analysis
          77:06C-002

Cost Comparisons
          77:04A-022
          77:06C-002

Cost Repayment
          77:03F-135

Cost-Benefit Analysis
          77:03F-135

Cost-Benefit Ratio
          77:03F-001
Costs
          77:03F-005
          77:04A-022
          77:048-002
          77:048-003
          77:046-004
          77:04D-006
          77:050-001
          77:050-003
          77:050-018
          77:060-002
          77:086-004
Cotton
         77:021-007
         77:021-017
         77 :03C-001
         77:03F-090
         77:04A-029
         77:05C-004

Crop Production
         77:020-002
         77:020-011
         77:02F-027
         77:02G-041
         77:02G-053
         77:02G-073
         77:02G-096
         77:02G-102
         77:02G-104
         77-.02G-109
         77:02G-118
         77:02G-136
         77:02G-144
         77:02G-150
         77:021-001
         77:021-007
         77:021-009
         77:021-011
         77:021-013
         77:021-014
         77:021-016
         77:02J-011
         77:02L-001
         77:03C-001
         77:03C-002
         77:03F-001
         77:03F-004
         77:03F-006
         77:03F-012
         77:03F-013
         77:03F-014
         77:03F-020
         77:03F-026
         77:03F-029
         77:03F-033
         77:03F-034
         77:03F-035
         77:03F-036
         77:03F-037
         77:03F-039
         77:03F-040
         77:03F-041
         77:03F-042
         77:03F-043
         77:03F-044
         77:03F-045
         77:03F-046
         77:03F-047
         77:03F-048
         77:03F-051
         77:03F-052
         77:03F-055
         77 :03F-058
         77:03F-061
         77:03F-064
         77:03F-065
         77:03F-067
         77:03F-069
         77:03F-071
         77:03F-075
         77:03F-082
           77:03F-085
           77:03F-088
           77:03F-090
           77:03F-091
           77:03F-098
           77:03F-108
           77:03F-110
           77:03F-112
           77:03F-117
           77:03F-120
           77:03F-121
           77:03F-123
           77:03F-126
           77:03F-128
           77:03F-129
           77:03F-130
           77:03F-131
           77:03F-132
           77:03F-135
           77:03F-136
           77:04A-031
           77:04A-039
           77:04A-040
           77:05B-032
           77:056-036
           77:058-038
           77:05C-001
           77:05C-002
           77:05C-004
           77:050-001
           77:05G-005
           77:05G-011
           77:05G-020
           77:05G-022
           77:05G-026
           77:05G-028
           77:05G-034
           77:060-002
           77:06E-013
           77:078-003
           77:076-014
           77:076-019
           77:076-036

Crop Response
           77:020-002
           77:020-005
           77:02F-027
           77-.02G-036
           77:02G-053
           77:02G-104
           77:02G-120
           77:02G-144
           77:026-156
           77 :02G-157
           77:02G-166
           77:02G-171
           77:021-001
           77:021-005
           77:021-006
           77 :02I-007
           77:021-010
           77:021-011
           77:021-013
           77:021-017
           77:02L-001
           77:03F-003
           77 :03F-004
       ^   77:03F-006
           77:03F-011
                                      290

-------
Croo Response
     (cent.)
          77:03F-012
          77-.03F-013
          77:03F-014
          77:03F-022
          77:03F-031
          77:03F-033
          77:03F-034
          77:03F-035
          77:03F-036
          77:03F-037
          77:03F-039
          77:03F-041
          77:03F-042
          77:03F-044
          77:03F-047
          77:03F-054
          77:03F-055
          77:03F-058
           77:03F-071
           77:03F-082
           77:03F-090
           77:03F-112
           77:03F-126
           77:03F-130
           77:04A-026
           77:04A-039
           77-.05B-028
           77:05B-032
           77:05G-022
           77:07B-003
           77:076-014
           77:073-017
                       Curves
                                                            Demand
 Crops
 Crust
    77:028-001
    77 :02D-006
    77:02E-004
    77:020-005
    77:02G-034
    77:04D-005
    77:058-004
    77:06A-006
    77:060-002

tests
    77:02G-174
  Cul t i val ?d  Lands
            77 : u?J-043

  Cultivation
            77:02G-007
            77:02G-082
            77-.03F-036
            77:03F-087
            77 :04A-040

  Current Meters
            77:078-030

  Current  (water)
            77:02F-007
            77:078-022
                       Dams
                                77:02F-037
                                77:02F-047
                                77:02F-048
                                77:026-012
                                77:02G-013
                                77:02G-074
                                77:02G-095
                                77:046-007
                                77:040-006
                                77:02F-008
                                77:02F-015
                       Darcys Law
                                77:02F-001
                                77:02F-002
                                77:02F-028
                                77:02F-052
                                77:02G-030
                                77:026-032
                       Data
                                 77:03F-018
                                        77:04A-001
                                        77:048-004
Data Collections
         77:02G-033
         77:02J-003
         77:02L-001
         77:058-005
         77:078-005
         77:078-005
         77:078-033
         77:088-016

Data Processing
         77:02D-001
         77:02F-016
         77:02F-036
         77:058-008

Dead Storage
         77:02J-015

Decision Making
         77:02J-015
         77:04A-001
         77 :04B-004
         77:05G-003
         77:068-002

Decomposing Organic Matter
         77:02G-099

Deep Percolation
         77:05A-005

Deformation
         77 :02F-006
         77:02F-014

Degradation  (decomposition)
         77 :05B-009

Degradation  (slope)
         77:02J-043

Degradation  (stream)
         77:02J-043
Demonstration Watersheds
           77:02J-011
           77:058-004

Denitrification
           77:02G-053
           77:02G-062
           77:02G-063
           77:02G-103
           77:02G-105
           77:02G-113
           77:02G-120
           .77:020-165
           77:026-170
           77:021-003
           77:02K-005
           77:05A-002
           77:05B-014
           77 :05B-025
           77:058-053
           77:05E-002
           77:07B-015
           77:078-016
           77:07B-032
         . 77:078-034
                                                    Density
                                                               77:02F-028
Deposition
           77:02J-013

Deposition (sediments)
           77:040-004

Depth
           77:02F-004
           77:02F-006
           77:02G-007
           77:02G-077
           77:02G-082
           77 :08B-004
           77:088-009

Desalination
           77:03A-001
           77:05G-007
           77:05G-014

Desalination Plants
           77 :05G-018
                                                    Deserts
                                                    Design
                                                               77:060-001
                                                               77:03F-021
                                                               77:08B-007
                                                               77 :08B-010
                                                     Dewatering
                                                               77 :04B-006

                                                     Differentiation
                                                               77:026-095
                                          291

-------
Diffusion
          77:02F-050
          77:02G-012
          77:02G-013
          77:02G-019
          77:02G-054
          77.-02G-077
          77:026-078
          77:056-022

Diffusivity
          77:02F-046
          77:02G-009
          77:02G-019
          77:02G-030
          77:026-051
          77:026-056
          77:02G-081

Dilution Effects
          77:02G-083

Dimensional Analysis
          77:08B-002
          77:08B-013

Discharge
          77:02F-008

Discharge  (Water)
          77:02F-004
          77:02F-025
          77:02F-047
          77:02F-048
          77:02F--052
          77:03F-021
          77:04i3-006
          77:04D-003
          77:05A-001
          77:05G-031
          77:088-002
          77:08B-OOl
          77:08B-011
          77:088-016

Discharge coefficient
          77:08B-002
          77:08B-005
          77:08B-011
          77:08B-016

Discharge Measurement
          77:04A-012
          77:08B-011

Discharge Sediments
          77:02J-001
 Discount Rates
          77:04B-008

 Dispersion
          77:02F-024
          77:02F-033
          77 :02G-018
          77:026-022
          77:026-023
          77:02G-024
         77:026-028
         77:02G-054
         77:02G-124
         77:026-143
         77:026-175
         77.-05B-002
         77 :05B-008
         77:058-050

Dissolved Oxygen
         77 :02F-040
         77:021-018
         77:050-002
Dissolved Solids
         77:02F-049
         77:05A-003
         77:056-028

Distribution
         77:05A-006

Distribution Patterns
         77:026-010
         77:04A-023
         77:04D-007
Ditches
Diurnal
         77:04A-023
         77:026-007
Diversion
         77:048-005
Dolomite
         77:02K-002

Domestic Wastes
         77:050-002

Downstream
         77:04A-001
         77:056-003
         77:056-032
Drainage
         77:02F-032
         77:02F-045
         77:02F-052
         77 :026-025
         77:026-045
         77:026-054
         77:02G-060
         77:026-065
         77:02G-071
         77:026-072
         77:026-073
         77:026-082
         77 :026-116
         77:026-117
         77:026-118
         77:02G-122
         77:026-125
         77:02G-126
           77 :02J-013
           77:02J-036
           77:02J-043
           77:03A-001
           77:03F-037
           77:03F-049
           77:03F-065
           77:03F-100
           77:04A-002
           77:040-003
           77:05B-002
           77:05B-027
           77:05B-046
           77:05B-056
           77:050-001
           77:056-001
           77:056-019
           77:068-001
           77:08B-009

Drainage Area
           77:056-018

Drainage Districts
           77:026-045
           77:026-072
           77:02G-073

Drainage Effects
           77:026-073
           77:026-116
           77:02G-117
           77:03F-037
           77:03F-049
           77:03F-065
           77:03F-100

Drainage Engineering
           77:026-072
           77:026-092
           77:026-116

Drainage Patterns (eeologic)
           77:040-003

Drainage Practices
           77:026-045
           77:026-072
           77:026-073
           77 :026-092
           77:026-116
           77:026-118
           77:026-122
           77:04B-002
           77:06E-001

Drainage Programs
           77:026-073

Drainage Systems
           77:02F-052
           77:02G-071
           77:026-072
           77:026-073
           77:026-092
           77:026-116
                                            292

-------
Drainage Systems
    (cont.)
          77:02G-118
          77-.02G-122
          77:03F-049
          77:040-005

Drainage Water
          77:021-004
          77:03A-001
          77:03F-049
          77:056-040
          77:05G-001
 Drains
 Drawdown
 Drilling
           77:02F-004
           77:020-072
           77-.02G-092
           77:026-122
           77:08B-008
           77:02F-001
           77:02F-004
           77:02F-006
           77:02F-013
           77:02F-019
           77:02F-023
           77:02F-037
           77:02F-047
           77:02F-048
           77:048-007
           77:05G-017
           77:08B-004
 Drilling Fluids
           77:05G-017

 Drops (Structures)
           77:08B-001
 Droughts
 Dry Beds
           77:021-001
           77:03F-006
           77:02G-029
 Dry Farming
           77:020-002
           77:021-002
           77:03F-036
 Drying
           77:020-074
Dynamics
         77:07B-022

Earth-Water Interfaces
         77:058-023

Economic Development
         77:03F-135

Economic Efficiency
         77 :03F-018
         77:04A-001
  1       77:048-001
         77:046-004
         77 :04B-008
         77:05G-003
         77:05G-018

Economic Feasibility
         77 :03F-005
         77:04A-022

Economic Impact
         77:03F-135

Economics
         77:02G-117
         77L02G-118
         77:02J-027
         77:02J-045
         77:03F-027
         77:03F-063
         77:03F-068
         77:03F-073
         77:03F-074
         77:03F-109
         77:03F-113
         77:03F-134
         77:03F-135
         77:04A-031
         77:04A-033
         77:046-002
         77:050-001
         77:05G-011
         77:05G-012
       .  77:05G-013
         77:06A-002
         77:06C-001
         77:06C-002
         77:06E-007
         77:08B-006
         77:08C-001

 Ecosystems
         77:021-018
                               Education
 Dune Sands
           77:03F-004

 Dupuit-Forchheimer Theory
           77:02F-008
           77:02F-018
 Effects
                                         77:05G-024
          77:02G-005
          77:031-003
          77:04B-002
 Dyes
           77:078-001
 Dynamic Programming
           77-.03F-003
           77:05G-003
 Efficiencies
          77:03F-002

 Effluent Limitation
          77:05G-021
Effluents
           77:02G-015
           77:02G-022
           77:02K-005
           77:05A-001
           77:05B-005
           77:05B-056
           77:050-007
           77:05E-001

Elastic Deformation
           77:02F-006

Electrical Conductance
           77:02G-015
           77:026-083
           77:058-003
           77:050-001
           77:050-002
           77:07B-006

Electrical Engineering
           77 :07B-030

Electrical Equipment
           77:03F-106
           77.-03F-107
           77:05A-009
           77 :07B-005

Electrical Power
           77:03F-106
           77:03F-107

Electrical Power Production
           77:03F-106
           77:03F-107

Electrical Properties
           77:05E-002

Electrical Resistance
           77:02F-021
           77:02F-036

Electricity
           77:03F-106
           77:03F-107

Electrochemistry
           77:05A-009

Electrodes
           77:05A-009

Electrolytes
           77 :02F-005
           77:02F-176

Electronic Equipment
           77:07B-005
Electronics
                                                            Emulsions
                                        77-.07B-030
                                                                       77:038-001
                                           293

-------
          77:03F-134
          77:03F-136
          77:04B-015
          77:040-002
          77:080-001

Energy Equation
          77:088-002

Engineering
        .  77:07B-030

Environment
          77:06E-014

Environmental Control
          77:03F-027
          77:04A-021
          77:06E-014

Environmental Effects
          77:02G-153
          77:02J-004
          77:04A-021
          77:06A-005
          77:06B-002

Environmental Quality
          77:03F-132

Environmental Quality
   Management
          77:020-153
Equations
          77
          77:
          77
          77
          77
          77;
          77:
          77
          77
          77
          77:
          77:
          77
          77:
          77:
          77:
          77
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77;
          77;
          77:
          77:
          77:
          77:
          77:
          77;
02B-002
02D-001
02E-001
02F-002
02F-003
02F-004
02F-006
02F-007
02F-008
02F-012
02F-014
02F-015
02F-018
02F-023
02F-037
02F-045
02F-046
02F-047
02F-048
02F-052
02G-009
02G-012
02G-019
02G-020
02G-021
02G-026
02G-027
02G-028
02G-029
02G-048
02G-056
02G-077
02G-079
         77:02G-095
         77:02G-124
         77:02G-125
         77:02G-138
         77:026-139
         77:02J-010
         77:02J-013
         77:02J-041
         77:02J-042
         77:03F-001
         77:03F-002
         77:03F-003
         77:03F-005
         77:03F-021
         77:04A-001
         77:04A-022
         77:04A-037
         77:04B-001
         77:04B-003
         77:04B-006
         77:048-007
         77:048-008
         77:04B-012
         77:040-006
         77:050-003
         77:05G-003
         77:05G-018
         77:07C-002
         77:08B-002
         77:08B-011
         77:088-016

Equipment
         77:02F-036
         77:02G-001
         77:02J-002
         77:02J-011
         77:03F-089
         77:07B-005
         77:07B-030

Erodibility
         77:02G-173
Erosion
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
:02B
:02G-
:02J
:02J
:02J
:02J
:02J
:02J
:02J
:02J
:02J
:02J
:02J
:02J
:02J
:02J
:02J
:02J
:02J
:02J
:02J
:02J
:02J
:02J
 •001
 079
 001
 004
 010
 Oil
 012
 013
 014
 016
 020
 022
 023
 025
 •026
 027
 •028
 •029
 •030
-033
 034
-035
-036
-037
                             77:02J-038
                             77:02J-040
                             77:02J-041
                             77:02J-042
                             77:02J-043
                             77:02J-044
                             77:02J-046
                             77 :03F-020
                             77:03F-024
                             77:03F-051
                             77:03F-052
                             77:03F-062
                             77:03F-087
                             77:04A-021
                             77:040-001
                             77:040-006
                             77:05B-030
                             77:05G-022
                             77:05G-023
                             77:05G-025
                             77:06A-001
                             77:06E-007
                             77:078-011

                  Erosion Rates
                             77:02J-001
                             77:02J-010
                             77:02J-012
                             77:02J-028
                             77:02J-040

                  Estimating
                             77:02D-001
                             77:02G-011
                             77:02J-015
                             77:02J-041
                             77:03F-005
                             77:03F-018

                  Eutrophication
                             77:056-046
                             77:05C-003
                             Evaluation
           77:02F-003
           77:02G-001
           77 :02J-004
           77:03F-001
           77:03F-005
           77:05B-005

Evaporation
           77:020-001
           77:020-004
           77:020-009
           77:020-010
           77:020-011
           77 :02G-049
           77:02G-060
           77:02G-082
           77:02G-137
           77 :02L-001
           77:03F-038
           77:03F-086
           77:03F-097
           77.-05B-021

Evaporation Pans
           77 :03F-001
                                        294

-------
Evapotranspiration
          77:020-001
          77:020-003
          77:020-005
          77:020-006
          77:020-007
          77:020-009
          77:020-008
          77:02G-014
          77:02G-032
          77:02G-049
          77:020-096
          77:020-129
          77-.02G-142
          77:021-016
          77:03F-001
          77:03F-008
          77:03F-011
          77:03F-023
          77:03F-037
          77:03F-039
          77:03F-040
          77:037-054
          77:03F-094
          77:03F-115
          77:03F-126
          77:04B-013
          77:058-021
          77:05B-024
          77:07B-036

 Expansive Clays
          77:05B-007

 Exploration
          77:088-004

 Farm Equipment
           77:04B-015

 Farm Management
           77:02E-004
           77-.02L-001
           77:040-006
           77:05G-023

 Farm Ponds
           77:050-001

 Farm Wastes
           77:028-001
           77:058-031
           77:05G-023
 Farms
           77:05B-031
 Feasibility Studies
           77:04A-022

 Federal Government
           77:06E-013

 Federal Reclamation Law
           77:050-021

 Federal Water Pollution
    Control Act
           77:050-021
           77:050-023
Fertilization
         77:02G-009
         77:02G-037
         77:02G-038
         77:020-053
         77:020-059
         77:020-062
         77:02G-104
         77:020-105
         77:020-120
         77:020-147
         77:020-149
         77:020-150
         77:020-157
         77:020-163
         77:020-171
         77:021-012
         77:02J-008
         77:02J-046
         77:03F-004
         77:03F-013
         77 :03F-014
         77:03F-031
         77:03F-032
         77:03F-033
         77:03F-043
         77:03F-047
         77:03F-056
         77:03F-090
         77:03F-091
         77:03F-102
         77:03F-108
         77:03F-109
         77:03F-127
         77:03F-129
         77:03F-130
         77:03F-131
         77:03F-132
         77:048-013
         77:05A-003
         77:05B-014
         77:058-017
         77:058-035
         77:058-038
         77:058-041
         77:058-043
         77:058-055
         77:050-009
         77:050-004
         77:050-005
         77:050-022
         77:050-027
         77:078-014
         77:078-015
         77:078-033
         77:078-035

Fertilizers
         77:028-001
         77:020-036
         77:020-037
         77:020-038
   ,s/ „' 77:020-040
  ' ,  /'  77-.02G-053
         77:020-057
         77:020-059
         77:020-062
         77:020-096
         77:020-097
         77:020-104
           77:020-
           77:020-
           77:02G-
           77:026-
           77:020-
           77:020-
           77:020-
           77:020-
           77:020-
           77:020-
           77:020-
           77:021-
           77:02J-
           77:02J-
           77:03F-
           77:03F-
           77:03F-
           77:03F-
           77:03F-
           77:03F-
           77:03F-
           77:03F-
           77:03F-
           77:03F-
           77:03F-
           77:03F-
           77:03F-
           77:03F-
           77:03F-
           77:03F-
           77:03F-
           77:03F-
           77:03F-
           77:03F-
           77:03F-
           77:048-
           77:048-
           77:05B-
           77:058-
           77:058-
           77:058-
           77:058-
           77:058-
           77:05B-
           77:058-
           77:05B-
           77:058-
           77:05C-
           77:050-
           77:05G-
           77:050-
           77:050-
           77:050-
           77:078-
           77:078-
           77:078-
           77:078-
           77:07B-
•105
•120
•134
•135
•147
•149
•150
•157
•163
•171
•175
012
008
046
•013
014
022
031
032
033
043
045
047
056
057
078
102
108
109
116
127
129
130
131
132
013
015
010
Oil
014
025
035
038
041
042
043
055
005
004
005
Oil
023
027
014
015
018
033
035
Field Crops
Filters
           77:02E-004
           77:03F-029
           77:040-004
           77:050-004
           77:078-001
                                        295

-------
Filtration
          77:02G-019
          77:03F-030
          77:04A-035
          77:050-004
Financing
          77:060-002

Finite Difference Analysis
          77:020-175

Finite Element Analysis
          77:02F-006
          77:02F-012
          77:02F-026
          77: 02G-128
          77:04B-001
          77:05B-008

Fissures (Geologic)
          77:02F-047
          77:02F-048

Flood Control
          77:04A-022
          77:05B-027
          77:056-032
          77:068-002

Flood Irrigation
          77:03F-123
          77:04A-026

Flood Protection
          77:04A-022
Florida
Flow
          77:03F-091
          77:05B-027
          77:05B-041
          77:05G-017
          77:02E-001
          77:02E-005
          77:02F-002
          77:02F-004
          77:02F-012
          77:02F-014
          77:02F-017
          77:02F-019
          77:02F-025
          77:02F-047
          77:02F-052
          77:02G-012
          77:02G-030
          77:02G-031
          77:02G-142
          77:03F-005
          77:03F-089
          77:04A-023
          77:04B-001
          77:04D-007
          77:05B-021
          77:078-030
          77:08B-001
          77:08B-003
          77:088-007
          77:088-008
          77:088-016
Flow Characteristics
         77 :02F-040

Flow Measurement
         77:03F-089
         77:04A-011
         77:04A-012
         77:07B-022
         77:078-024
         77:078-025
         77:078-026
         77:078-027
         77:078-028
         77:078-029
         77:088-007

Flow Nets
         77:02F-008

Flow Profiles
         77:02E-001

Flow Rates
         77:04A-011
         77:04A-012
         77:04A-037
         77:05G-035
         77:07B-028
         77:08B-012
         77:08B-014
         77:088-015

Flow Resistance
         77:03F-087

Flowering
         77:021-001

Flowmeters
         77:088-011
         77:088-016

Fluctuations
         77:02F-020
         77 :02F-032
         77:05B-020

Fluid Friction
         77:02F-007

Fluid Mechanics
         77:02F-002
         77:02F-007
         77:040-007

Flumes
         77:04A-011
         77:05A-001
         77:078-024
         77:078-027
         77:078-029
         77:088-007

Fluorescent Dye
         77:078-001
                                                           Fly Ash
                                                                      77:02G-168
Fluorides
          77-:05B-005
Forecasting
           77:02F-010
           77:02G-005
           77:02J-013
           77:03F-086
           77:048-005
           77:040-006
           77:058-021

Foreign Countries
           77:020-004
           77:02D-006
           77:020-008

Foreign Research
           77:020-004
           77:020-006
           77:020-008
           77:02F-025
           77:02G-033
           77:05A-003
           77 :07B-002

Forest Watersheds
           77:02G-014
Formulas
           77:02B-002
Fraction Permeability
           77:02F-012

Free Surfaces
           77:02F-009
Freezing
           77:02C-001
Frequency Analysis
           77:048-002

Friction
           77:08B-002
           77:088-014
           77:08B-015

Fringe Vvater
           77:02G-033
Frost
           77:02C-001
Frost Action
           77:020-001

Frost Protection
           77 :02D-010

Frozen Ground
           77:02C-001

Frozen Soils
           77:02C-001
                             Fruit Crops
                                        77 :02D-010
                                        77 :02G-049
                                       296

-------
Furrow Irrigation
           77:026-037
           77:02J-010
           77:03F-023
           77:03F-042
           77:03F-062
           77:03F-065
           77:03F-083
           77:03F-087
           77:03F-120
           77:03F-123
           77:04A-004
           77:04A-020
           77:04A-037
           77:04A-038
           77:04A-040
           77:058-042
           77:050-005
           77:06C-002
            77:078-021
   1
  Furrow Systems
            77:04A-038
            77:04A-040
  Furrows
  Gages
            77:03F-087
            77:03F-089
  Gate Control
            77:086-003
  Gates
            77:04A-038
            77:08B-003
  Geochemi stry
            77:02F-016
            77:05A-006
            77:078-002

  Geohydrologic Units
            77:02F-010
  Geology
            77:02F-021
            77:058-049
  Geomorphology
            77-.02J-043
            77:02K-002
  Geophysics
  Georgia
            77:02F-005
            77-.02F-021
             77:022-003
  Germination
             77:021-001
             77:03C-001
             77:03F-042
             77:03F-044

  Glacial Drift
             77:02F-021
             77:058-049
             77:050-005
Glucose
         77:02G-113
         77:02G-161
         77:02G-162

Government Interrelations
         77:05G-021

Governments
         77:03F-135

Gradually Varied Flow
         77.-02E-001

Grain Sorghum
         77:020-002
         77:04A-039
         77:04A-040
         77:05G-039

Grain Yield
         77:05G-039

Grain  (Crops)
         77:021-016
         77:03F-006

Graphical Analysis
         77.-02E-001
         77:02F-008
         77:02F-037
         77:048-007

Graphical Methods
         77:02E-001

Grassed Waterways
         77;02E-005
         77:04D-004
         77:05G-002

Grasses
         77:020-006
         77:03F-014
         77:04D-004

Gravimetric Analysis
         77:02G-047

Gravimetry
         77:02G-047

Gravitational Water
         77:04A-027

Greenhouses
         77:020-008
         77:021-009
         77:021-013
         77:058-032
    ' ' •-/
Groundwater
         77:02F-005
         77:02F-007
         77:02F-011
         77:02F-014
         77:02F-016
         77:02F-017
         77:02F-018
         77:02F-019
 77:02F-020
 77:02F-021
 77:02F-023
 77:02F-024
 77:02F-025
 77:02F-026
 77:02F-027
 77:02F-030
 77:02F-032
 77:02F-033
 77:02F-034
 77:02F-035
 77:02F-036
 77:02F-038
 77:02F-039
 77:02F-040
 77:02F-042
 77:02F-043
 77:02F-044
 77:02F-045
 77:02F-046
 77:02F-049
 77:02F-050
 77:02F-051
 77:02G-023
 77:02G-024
 77:02G-025
 77:020-030
 77:026-048
 77:02G-054
 77:020-124
 77:02J-011
-177:02K-002
 77:03F-056
 77:04A-001
 77:04A-003
 77:048-003
 77:04B-004
 77:048-005
 77:048-006
 77:04B-008
 77:048-010
 77:048-011
 77:048-012
 77:048-013
 77:048-014
 77:040-001
 77:05A-005
 77:05A-006
 77-.05A-007
 77:058-010
 77:058-016
 77:058-017
 77:05B-018
 77:058-019
 77:058-020
 77:058-021
 77:058-022
 77:05B-024
 77.-05B-031
 77:058-034
 77:058-045
 77:05B-056
 77-.05D-009
 77:056-017
 77:050-022
 77:05G-028
 77:056-038
 77:078-002
 77:078-010
                                          297

-------
Groundwater Barriers
          77:048-011

Groundwater Basins
          77:02F-027
          77:02F-035
          77:02F-043
          77:02F-044

Groundwater Flow
          77:02F-028

Groundwater Mining
          77:02F-044

Groundwater Movement
          77:02F-001
          77:02F-002
          77:02F-003
          77:02F-004
          77:02F-007
          77:02F-009
          77:02F-010
          77:02F-011
          77:02F-014
          77:02F-015
          77:02F-017
          77:02F-018
          77:02F-019
          77:02F-020
          77:02F-022
          77:02F-025
          77:02F-026
          77:02F-029
          77:02F-030
          77:02F-033
          77:02F-034
          77:02F-038
          77:02F-039
          77:02F-040
          77:02F-045
          77:02F-047
          77:02F-048
          77:02F-049
          77 :02F-050
          77:02G-011
          77:02G-023
          77:02G-024
          77:02G-025
          77:02G-030
          77:02G-048
          77:05A-007
          77:058-008
          77.-05B-016
          77:058-017
          77:05B-018
          77:058-019
          77:058-021
          77:058-045

Groundwater Potential
          77:02F-021
          77:02F-027
          77:02F-043
          77:088-008

Groundwater Recharge
          77:02F-004
          77:02F-020
          77:02F-031
         77:02F-032
         77:02F-035
         77:02F-044
         77:04B-011
         77:05A-007
         77:058-018
         77:05B-019

Groundwater Resources
         77:02F-016
         77:02F-020
         77:02F-021
         77:02F-027
         77:02F-035
         77:02F-038
         77:02F-039
         77:02F-042
         77:02F-043
         77:02F-044
         77:02F-050
         77:02F-051
         77:048-001
         77:048-013

Growth Rates
         77:050-002

Growth Stages
         77:021-010
         77:021-011
Gullies
         77:02J-043
Gully Erosion
         77:040-001
Gypsum
Halides
         77:05G-001
         77:05B-002
Hardness (Water)
         77:02F-030
         77:058-005
Hawaii
Hazards
         77.-03F-001
         77:058-009
         77:05B-031
Head Loss
         77:088-002
         77:088-014
         77:088-015
Heat
         77:026-051
Heat Flow
         77:020-008
         77:02F-034

Heat Pollution
         77:058-007
Heat Transfer
           77:02F-007
           77:02F-034
           77:02G-006
           77:058-022

Heated Water
           77 :02F-034
           77:058-002

Heavy Metals
           77:02G-067
           77:02G-090
           77:021-013
           77:021-019
           77:02J-038
           77.-02K-003
           77:05A-006
           77 :05B-023
           77:058-045
           77:050-005
           77:078-017
Height
           77:021-011
Herbicides
           77:03F-020
           77:03F-098
           77:03F-133
           77:058-006
           77:058-009
           77:05B-034
           77:05G-002
                             Herbigation
History
                                        77:03F-133
                                        77:02J-043
                             Horizontal Infiltration
                                        77:02G-056
Hortans Law
                                        77:02G-028
Humid Areas
           77:02G-007

Humid Climates
           77 :02G-007

Hydraulic Conductivity
           77:02B-002
           77:020-004'
           77:020-009
           77:02D-011
           77:02F-011
           77:02F-014
           77:02F-022
           77:02F-028
           77:02F-029
           77:02F-032
           77:02F-033
           77:02F-036
           77:02F-037
           77:02F-045
           77:02F-049
                                        293

-------
Hydraulic Conductivity
   (cont.)
          77:02G-002
          77:02G-009
          77:02G-010
          77:020-016
          77:02G-017
          77:02G-023
          77:02G-024
          77:02G-025
          77:02G-027
          77:02G-030
          77:02G-031
          77:02G-032
          77:02G-033
          77:02G-035
          77:02G-043
          77:02G-046
          77:02G-061
          77:02G-080
          77:02G-081
          77:02G-092
          77:02G-115
          77:02G-125
          77:026-126
          77:02G-127
          77:026-128
          77:026-168
          77:026-174
          77:026-175
          77:026-176
          77:03F-010
          77:03F-011
          77:03F-095
          77:04A-023
          77:04A-025
          77:043-006
          77:04B-007
          77:04D-003
          77:058-016
          77:08B-008

 Hydraulic Design
          77:04A-013
           77:04A-014
           77:08B-006
           77:08B-010
          77:088-012
           77:088-013
           77:086-014
           77:088-015

 Hydraulic Gradient
           77:02F-046
           77:026-176

 Hydraulic Jump
           77:088-001

 Hydraulic Models
           77:02G-033
           77:04D-004

 Hydraulic Properties
           77:02F-004
           77:02F-022
           77:02F-047
           77:02F-048
           77:026-031
           77:026-032
         77:02G-081
         77:026-082
         77:026-176

Hydraulic Structures
         77:02F-015
                  Hydrographs
Hydraulics
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
:02E-001
:02E-005
.-02F-011
:02F-052
:02J-003
:04A-011
:04A-013
:04A-014
:04A-015
:04A-024
:04A-027
:04B-012
:04D-007
:05A-001
:05B-047
:05G-003
:07B-027
:08B-001
:08B-002
:08B-003
:08B-005
:08B-006
:08B-007
:08B-009
:08B-010
:08B-011
:08B-012
:08B-013
:08B-014
:08B-015
-.08B-016
                             77:028-002
                             77:02F-046
                             77:02J-007
                             77:058-027
                             77:07B-005
Hydrography
           77:040-003

Hydrologic Aspects
           77:020-001
           77:026-014
           77:04A-022

Hydrologic Budget
           77:02G-032

Hydrologic Data
           77:02J-004
           77:078-005

Hydrologic Properties
           77:02F-036
           77:02J-004

Hydrologic Systems
           77:026-014
Hydrology
Hydrodynamics
         77:02F-011
         77:02F-038
         77:026-023
         77:02G-024
         77:026-111
         77:04A-019
         77:058-034
         77:056-047

Hydrogen
         77:058-029

Hydrogen Ion Concentration
         77:02K-002
         77:05A-006
         77:050-002

Hydrogeology
         77:02F-003
         77.-02F-010
         77:02F-021
         77:02F-029
         77:02F-030
         77:056-019

Hydrograph Analysis
         77:02E-005
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
:02E-002
:02E-003
:02E-005
:02F-007
:02F-014
:02F-017
:02F-018
:02F-025
:02F-026
:02F-030
:02F-036
:02F-045
:02F-049
:02G-014
:026-025
:02G-031
:02G-093
:026-128
:026-142
:02J-010
:02J-020
:04B-002
:04B-005
:04B-011
:04D-003
: 040-006
:058-018
:05B-019
:05B-027
:056-004
:056-038
:05G-040
:06E-001
:07B-005
:07B-030
                 Hydrometry
                            77:026-091
                                         299

-------
Hysteresis
Ice
Idaho
Illinois
Illite
          77:020-001
          77:02G-013
          77:02G-030
          77:02G-033
          77:02G-035
          77:02G-065
          77:020-074
          77:02G-094
          77:02C-001
          77:02E-002
          77:02F-041
          77:02J-011
          77:03B-001
          77:03F-042
          77:04A-006
          77:05B-035
          77:026-113
          77:050-001
          77:02G-004
 Iinmiscibility
          77:026-083

 Immobilization
          77:02G-104

 Impact  (Rainfall)
          77:026-050
          77:026-079
          77:02J-001

 Impervious Soils
          77:05D-001

 Impoundment
          77:088-009
 Incentives
 Income
 Indexing
 Indiana
          77:056-024
           77:03F-018
           77:020-007
           77:03F-024
 Industrial Plants
          77:05A-001

 Industrial Wastes
          77:050-002

 Infiltration
          77:028-002
          77:02F-011
          77:02F-025
          77:02F-031
          77:026-002
         77:026-011
         77:02G-014
         77:02G-017
         77:026-018
         77:026-027
         77:026-028
         77:026-029
         77:02G-030
         77:026-032
         77:026-035
         77:026-046
         77:026-048
         77:02G-050
         77:02G-056
         77:026-058
         77:026-071
         77:026-075
         77:026-076
         77:026-082
         77:02G-087
         77:026-093
         77:026-095
         77:026-123
         77:026-127
         77:026-128
         77:026-137
         77:026-138
         77:026-139
         77:026-140
         77:026-141
         77:026-142
         77:021-008
         77:04A-017
         77:04A-023
         77:04A-036
         77:05B-008
         77:056-029
         77:050-004
         77:05E-002
         77:078-024
         77:07C-002

Infiltration Rates
         77:026-028
         77:026-029
         77:02G-050

Inflow
         77:02F-008
         77:02J-044
         77:04A-003
         77:056-031
         77:088-008
         77:088-009

Infrared Radiation
         77:03F-082

Injection
         77:056-036

Injection Wells
         77:048-011
         77:058-022
         77:05E-001
         77:05G-017

 Input-Output Analysis
         77:020-005
         77:04B-012
Instrumentation
           77:02G-016
           77:026-047
           77:02J-011
           77:02L-001
           77:05A-001
           77:078-002
           77:078-030
           77:088-007

Instruments
           77:078-026

Inter-Basin Transfers
           77:04A-022
           77:048-005
Interfaces
Iodine
           77:05B-023
                                                                      77:026-054
Iodine Radioisotopes
           77:026-054

Ion Exchange
           77:026-077
           77:026-081
           77:026-106
           77:050-005
           77:056-034

Ion Transport
           77:058-050
Ions
                                                           Iowa
           77:02F-016
           77:02F-040
           77:026-080
           77:026-084
           77:026-101
           77:02K-001
           77:058-050
           77:020-001
           77:02G-119
           77:02J-040
           77:02J-043
           77:02J-046
           77 :05B-004
           77:07B-020
                                                           Iron
           77:026-086
           77:05A-002
           77:05A-006
           77:058-026

Irrigated Land
           77:02K-005
           77 :03C-001
           77:03F-007
           77 :03F-057
Irrigation
           77:02F-027
           77:02F-041
           77:02F-043
           77:02F-044
                                        300

-------
Irrigation
  (cont.}
          77:026-006
          77:02G-015
          77:020-026
          77.-02G-037
          77:02G-039
          77:02G-041
          77-.02G-043
          77:02G-048
          77:02G-049
          77:02G-055
          77:026-058
          77:026-061
          77:026-096
          77:026-103
          77:02G-115
          77:026-123
          77:026-126
          77:02G-135
          77:026-136
          77:026-144
          77:026-147
          77:02G-152
          77:02G-171
          77:026-175
          77:021-003
          77:021-007
          77:021-010
          77:02J-010
          77:02J-014
          77:02J-037
          77:02K-005
           77:03A-001
           77:030-001
           77:03C-002
           77:03F-001
           77:03F-002
           77:03F-007
           77:03F-009
           77:03F-010
           77:03F-011
           77:03F-019
           77:03F-023
           77:03F-034
           77:03F-035
           77:03F-036
           77:03F-037
           77:03F-040
           77:03F-042
           77:03F-044
           77:03F-045
           77:03F-050
           77:03F-054
           77:03F-056
           77:03F-059
           77:03F-060
           77:03F-061
           77:03F-062
           77:03F-064
           77:03F-065
           77:03F-067
           77:03F-069
           77:03F-071
           77:03F-073
           77:03F-074
           77:03F-075
           77:03F-077
           77:03F-078
           77:03F-079
77 :03F-080
77:03F-081
77:03F-082
77:03F-084
77:03F-085
77:03F-089
77:03F-090
77:03F-091
77 :03F-092
77 :03F-094
77:03F-096
77:03F-099
77:03F-100
77:03F-102
77:03F-103
77:03F-104
77.-03F-105
77:03F-106
77:03F-107
77:03F-113
77:03F-114
77:03F-115
77:03F-116
77-.03F-118
77:03F-119
77:03F-121
77:03F-122
77:03F-123
77:03F-124
77:03F-125
77:03F-133
77:03F-134
77:03F-135
77:04A-001
77:04A-002
77:04A-006
77:04A-008
77:04A-009
77:04A-010
77:04A-012
77:04A-013
77:04A-014
77:04A-018
77:04A-019
77:04A-020
77:04A-021
77:04A-025
77:04A-027
77:04A-028
77:04A-030
77:04A-034
77.-04A-035
77:04A-036
77:04A-042
77:04B-009
77:04B-011
77:04D-005
77 :05A-004
77:058-006
77:05B-011
77:056-017
77:056-024
77:05B-035
77:05B-042
77:058-050
77:056-055
77:05C-001
77:05C-002
77:05C-005
77:050-001
           77:05D-009
           77:05G-003
           77:05G-005
           77:056-007
           77:05G-008
           77:056-010
           77:056-011
           77:056-012
           77:05G-013
           77:056-018
           77:056-020
           77:056-021
           77:05G-022
           77:056-027
           77:056-028
           77:056-029
           77:056-030
           77:056-037
           77:05G-040
           77:06A-002
           77:06A-006
           77:060-001
           77:060-002
           77:06E-004
           77:06E-005
           77:06E-012
           77:07B-010
           77:078-035
           77:08A-001
           77:088-006
           77:070-001

Irrigation Canals
           77:026-048
           77:056-036

Irrigation Design
           77:026-087
           77:026-141
           77:03F-029
           77:03F-068
           77:03F-081
           77:03F-100
           77:03F-103
           77:04A-013
           77:04A-014
           77:04A-017
           77:04A-024
           77:04A-032
           77-.04A-038
           77:088-006
           77:086-010
           77:08B-012
           77:088-013
           77:086-014
           77:08B-015

Irrigation Districts
           77:03F-005
           77:04A-005
           77:056-021

Irrigation Ditches
           77:026-048
           77:03F-089

Irrigation Effects
           77.-02F-041
           77:02G-006
           77:026-103
                                         301

-------
Irrigation Effects
    (cont.)
          77:02G-115
          77:020-136
          77:020-144
          77:020-145
          77:02G-147
          77:020-152
          77:020-171
          77:021-007
          77:03F-004
          77:03F-010
          77:03F-011
          77:03F-019
          77:03F-034
          77:03F-035
          77:03F-036
          77:03F-037
          77:03F-042
          77:03F-056
          77:03F-059
          77:03F-060
          77:03F-061
          77:03F-064
          77:03F-065
          77:03F-078
          77:03F-080
          77:03F-086
          77:03F-096
          77:03F-099
          77:03F-100
          77:03F-102
          77:03F-112
          77:03F-115
          77:03F-116
          77:03F-119
          77:03F-126
          77:04A-021
          77:04A-030
          77:058-003
          77:05B-010
          77:058-042
          77:058-044
          77:058-055
          77:050-001
          77:05D-009
          77:050-012
          77:050-019
          77:050-020
          77:050-027
          77:050-029
          77:050-030
          77:050-037
          77:06E-012
          77:07B-010
          77:078-015
          77:078-021
          77:078-035

Irrigation Efficiency
          77:020-042
          77:020-044
          77:03A-001
          77:03F-008
          77:03F-009
          77:03F-019
          77:03F-021
          77:03F-028
          77:03F-036
          77:03F-054
         77:03F-056
         77 :03F-059
         77:03F-060
         77:03F-062
         77:03F-067
         77:03F-069
         77:03F-071
         77:03F-075
         77:03F-076
         77:03F-078
         77 :03F-089
         77:03F-092
         77:03F-094
         77:03F-097
         77:03F-100
         77:03F-101
         77:03F-104
         77:03F-105
         77:03F-113
         77:03F-117
         77:03F-121
         77:03F-122
         77:03F-123
         77:03F-124
         77:03F-125
         77:04A-003
         77:04A-004
         77:04A-007
         77:04A-008
         77:04A-010
         77:04A-012
         77:04A-020
         77:04A-027
         77:04A-029
         77:04A-032
         77:04A-034
         77:04A-035
         77:04A-037
         77:04A-038
         77:048-015
         77:050-022
         77:078-036
         77:088-010
         77:08B-012
         77:08C-001

Irrigation Engineering
         77:03F-068
         77:03F-089
         77:04A-013
         77:04A-018
         77:04A-019
         77:04A-020
         77:04A-027
         77:04A-032
         77:04A-033
         77:058-047
         77:050-001
         77:088-010
         77:088-012
         77:088-013
         77:088-014
         77:086-015

Irrigation Methods
         77:03F-083
         77:03F-094
         77:03F-097
         77:088-010
Irrigation Practices
           77:020-005
           77:020-055
           77:020-061
           77:020-087
           77:020-136
           77:02J-011
           77:02L-001
           77.-03F-004
           77:03F-009
           77:03F-010
           77:03F-011
           77:03F-019
           77:03F-021
           77:03F-028
           77.-03F-029
           77:03F-030
           77:03F-042
           77 :03F-044
           77:03F-050
           77:03F-068
           77:03F-069
           77:03F-070
           77:03F-073
           77:03F-074
           77:03F-076
           77:03F-077
           77 :03F-078
           77:03F-081
           77:03F-082
           77:03F-083
           77:03F-084
           77:03F-085
           77:03F-086
           77:03F-091
           77:03F-092
           77:03F-094
           77:03F-097
           77:03F-098
           77:03F-101
           77:03F-102
           77:03F-103
           77:03F-104
           77:03F-105
           77:03F-106
           77:03F-107
           77:03F-113
           77:03F-114
           77:03F-115
           77:03F-118
           77:03F-121
           77:03F-122
           77:03F-124
           77:03F-125
           77:03F-133
           77:04A-006
           77:04A-010
           77:04A-018
           77:04A-019
           77:04A-021
           77:04A-024
           77:04A-025
           77:04A-026
           77:04A-027
           77:04A-028
           77:04A-029
           77:04A-031
           77:04A-033
           77:04A-034
           77:04A-035
                                        302

-------
Irrigation Practices
    (cont.)
          77:04A-036
          77:04A-038
          77:04B-009
          77:04B-015
          77:058-042
          77.-05C-002
          77:050-013
          77:05G-021
          77:05G-022
          77:05G-038
          77:06C-002
          77:076-021
          77:07B-035
          77: 09C-001
          77:06E-012

Irrigation Return Flow
          77:05G-021

Irrigation Systems
           77:02F-036
           77:02G-037
           77:02G-061
           77:02G-087
           77:02G-123
           77:02G-141
           77:02J-010
           77:03F-003
           77:03F-005
           77:03F-009
           77:03F-010
           77:03F-011
           77:03F-021
           77:03F-023
           77:03F-028
           77:03F-029
           77:03F-030
           77:03F-057
           77:03F-061
           77:03F-067
           77-.03F-068
           77:03F-070
           77:03F-076
           77:03F-079
           77:03F-080
           77:03F-081
           77:03F-083
           77:03F-084
           77:03F-086
           77:03F-090
           77-.03F-091
           77:03F-092
           77 :03F-101
           77:03F-103
           77:03F-104
           77:03F-114
           77:03F-118
           77:03F-121
           77:03F-122
           77:03F-124
           77:03F-125
           77:03F-127
           77:03F-136
           77:04A-003
           77:04A-008
           77-04A-010
           77:04A-013
           77:04A-014
         77:04A
         77:04A
         77:04A-
         77:04A
         77:04A
         77:04A
         77:04A
         77:04A
         77:04A
         77:04A
         77:04A
         77:04A
         77:04A
         77:04A
         77:04A
         77:04A
         77:05B
         77:05G
         77:056
         77:056
         77:06C
         77:06C
         77:08A
         77:08B
         77:08B
         77:08B
         77:09C
 •018
 019
 020
 024
 •026
 027
 028
 029
 033
 034
 035
 036
 038
 039
 040
 041
 010
 013
 022
 035
 001
-002
.-001
-012
-014
 015
:-001
Isotope Studies
           77:03F-015
           77:03F-016
Irrigation Water
         77:02G-115
         77:02G-135
         77:021-008
         77:021-016
         77:02K-001
         77:03C-001
         77:03F-008
         77:03F-030
         77:03F-057
         77 :03F-062
         77:03F-071
         77.-03F-073
         77:03F-074
         77:04A-004
         77:04A-006
         77:04A-009
         77:04A-011
         77:04A-020
         77:04A-040
         77:05B-003
         77:058-011
         77:05B-037
         77:05B-040
         77:058-041
         77:058-042
         77:050002
         77:05G-020
         77:05G-028
         77:060-002
         77:06E-010
         77:06E-012

Irrigation Wells
         77:02K-001
         77:08C-001
Isotopes
Kansas
Karst
           77.-02G-113
           77:02G-165
           77:05C-005
           77:020-005
           77:02G-129
           77:02K-002
Karst Hydrology
           77:02K-002

Kinetics
           77:02G-062
           77:02G-078
           77:02G-148

Laboratory Equipment
           77:02G-008
           77:021-009
           77:07B-004

Laboratory Studies
           77:026-154
           77:078-031

Laboratory Tests
           77:020-003
           77:020-004
           77:02D-009
           77:02E-005
           77:02G-001
           77:02G-002
           77:02G-004
           77:02G-006
           77:02G-010
           77:02G-012
           77:02G-013
           77:02G-015
           77:02G-016
           77:02G-022
           77:02G-023
           77:02G-024
           77:02G-030
           77:02G-033
           77:02G-048
           77:02G-056
           77:02G-058
           77:02G-077
           77:02G-081
           77:026-083
           77:02G-099
           77:026-112
           77:026-126
           77:026-173
           77:021-009
           77:02J-001
Islands
         77:02F-020
                                        303

-------
Laboratory Tests
    (cont.)
          77:02J-003
          77:02J-044
          77:02K-002
          77:04A-023
          77:04A-025
          77:04D-004
          77:05A-003
          77:05B-001
          77:05B-018
          77:056-053
          77-.05B-056
          77:050-004
          77:050-005
          77:05G-036
          77:07B-001
          77:07B-004
          77:078-012
          77 :07B-013
          77:076-018
          77:07B-030
          77:078-034
          77:078-035
          77:088-002
          77:088-003
          77:088-011
          77:08B-016
Lagoons
          77:02G-100
          77:050-008
Lake Erie
          77:058-049

Lake Sediments
          77:02J-013
Lakes
Land
          77:02J-013
          77:058-027
          77:058-049
          77:050-032
          77:05G-034
          77:03F-017
          77:06E-014
Land Classification
          77:03F-017
          77:03F-053
          77:06E-014

Land Development
          77:03F-017
          77-.03F-026
          77 :03F-053
          77:06E-014

Land Management
          77:02J-008
          77:02J-042
          77:03F-053
          77:04D-005
          77:056-017
          77:06E-014
Land Reclamation
         77:03F-033
         77:050-008

Land Resources
         77:02J-008
         77:03F-017
         77:03F-048
         77:03F-053
         77:06E-014

Land Subsidence
         77:02F-013

Land Use
         77:02J-008
         77:03F-017
         77:03F-026
         77:03F-053
         77:03F-132
         77:056-025
         77:058-027
         77:058-031
         77:06E-014

Laplaces Equation
         77:086-008

Latitudinal Studies
         77:03F-038

Law Enforcement
         77:02F-042
Laws
         77:02G-122
Leachate
         77:028-001
         77:02G-001
         77:05B-013
         77:058-017
         77:058-045
         77:056-056
                              Leaching
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
:02G-001
:02G-010
:02G-015
:02G-018
:02G-036
:02G-038
:02G-041
:02G-042
:02G-057
:02G-062
:02G-064
:02G-077
:02G-078
:02G-096
:02G-101
:02G-103
:02G-154
:02I-008
:03F-004
:03F-008
:03F-033
:03F-045
:04A-002
:04A-030
                                                           Lead
                  Leakage
                  Leases
                             77:048-009
                             77 :04B-013
                             77:05B-001
                             77:058-002
                             77:058-003
                             77:058-004
                             77:058-006
                             77:058-014
                             77:056-024
                             77:058-025
                             77:058-032
                             77:058-036
                             77:056-038
                             77:056-039
                             77:056-042
                             77:058-045
                             77:05B-048
                             77:058-056
                             77:05C-001
                             77:05G-001
                             77:05G-004
                             77:05G-016
                             77:05G-026
                             77:068-001
                             77:078-003
                             77:078-015
                             77:078-020
                             77:078-031
                             77:02G-067
                             77:021-013
                             77:021-019
                             77:05A-006
                             77:05B-054
                             77:050-005
                             77:02F-025
                             77 :02F-029
                             77:02F-037
                             77:06C-002
Least Squares Method
           77:02F-010

Leaves
           77:020-002
           77 :02D-009
           77:021-009
           77:021-010
           77:03F-034
           77:03F-035
           77:03F-112

Legal Aspects
           77:02F-035
           77:05G-003
           77:06E-006
           77:06E-008
Legislation
                                                           Legumes
           77 :02F-035
           77:06E-006
           77:06E-008
                                                                       77:076-003
                                       304

-------
Limestones
          77:02F-030
          77:02F-040
          77:02F-049
          77:02K-002
Limnology
           77:05B-054
           77:050-003
           77:05G-034

Linear Programming
           77:03F-018
           77 :04B-001
           77:04B-006
           77:04B-008
           77:04B-012
Linings
           77:050-037
Liquid  Wastes
           77:02G-143
 Littoral
           77:07B-002
 Loads  (Forces)
           77:02G-176
 Loam
 Loess
           77:020-004
           77:02G-010
           77:026-011
           77:02G-022
           77:02G-081
           77:02G-082
           77:02J-044
           77:02J-043
           77:040-001
 Long-Term Planning
           77:046-001
 Louisiana
 Low Flow
           77:02G-109
           77:04B-005
           77:05A-001
 Low-Flow  Augmentation
           77:04A-022
 Lysimeters
           77:020-003
           77:02G-001
           77:02G-010
           77:02G-036
           77:02G-057
           77:02G-060
           77:02G-065
           77:03F-054
           77:03F-056
           77:03F-064
           77:04A-039
           77:05B-002
           77:058-003
         77 :05B-014
         77:058-039
         77:056-019
         77:05G-027
         77:076-003
                               Magnesium
Maize
         77:02F-016
         77:02G-066
         77:02G-107
         77:03F-032
         77.-04B-009
         77:05B-049
         77:058-032
Management
         77:04A-001
         77:04A-040
         77:04A-042
         77:04B-003
         77:04B-006
         77:04B-012
         77:050-003
         77:05G-001
         77:06B-002

Manganese
         77:03F-032
         77:05A-006

Mannings Equation
         77:02E-005
Manure
         77.-04B-009
Marine Biology
         77:058-009

Maryland
         77:058-031

Mass Transfer
         77:02G-012
         77:02G-013

Materials
         77:02G-016

Materials Engineering
         77:02G-016

Materials Testing
         77:02G-016

Mathematical Analysis
         77:02J-019

Mathematical Models
         77:02B-002
         77:020-001
         77:020-001
         77:020-004
         77:020-009
         77:020-011
         77:02F-003
         77:02F-004
         77:02F-006
77:02F-
77:02F-
77:02F-
77:02F-
77:02F-
77:02F-
77:02F-
77:02F-
77:02F-
77:02F-
77:02F-
77:02F-
77.-02F-
77:02F-
77:02F-
77:02F-
77:02F-
77:02F-
77:02F-
77:02F-
77:02F-
77:02F-
77:02F-
77:02F-
77:02G-
77:02G-
77:026-
77:026-
77:026-
77:026-
77:02G-
77:02G-
77:02G-
77:02G-
77:02G-
77:02G-
77:02G-
77:026-
77:02G-
77:02G-
77:02G-
77:02G-
77:02G-
77:02G-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:02J-
77:02J-
77:02J-
77:03F-
77:03F-
77:03F-
77:03F-
77:03F-
77:04A-
77:04B-
77:04B-
77:04B-
77:04B-
•007
•008
•009
•Oil
•012
•013
•014
•015
•018
019
020
023
025
026
028
031
032
033
034
045
046
047
048
049
002
003
005
010
Oil
012
013
014
015
017
019
021
022
026
027
028
033
035
048
050
056
058
060
074
077
080
124
125
126
•127
•128
•142
•143
•175
•013
•041
•042
•001
•003
•005
•018
•136
•023
•001
-002
-003
•004
                                         305

-------
Mathematical Models
    (cont.)
          77:04B-006
          77:04B-008
          77:04B-012
          77:040-004
          77:040-007
          77:056-001
          77:056-004
          77:05B-008
          77:05B-016
          77:05B-021
          77:05B-022
          77:058-026
          77:05B-027
          77:056-047
          77:050-003
          77:05G-018
          77:06A-006
          77:08B-008
          77:08B-009

Mathematical Simulation
          77:05G-007

Mathematical Studies
          77:02F-002
          77:02F-012
          77:02F-017
          77:02F-024
          77:02F-039
          77:02F-050
          77:02G-020
          77:02G-029
          77:02G-047
          77:02G-051
          77:02G-062
          77:02G-079
          77:02J-015
          77:03F-072
          77:046-007
          77:046-010
          77:05B-008
          77:05G-009

Mathematics
          77:02F-002
          77:02G-019
          77:02G-128
          77:04B-010
          77:056-008

Measurement
          77:020-003
          77:02F-036
          77:02G-034
          77:02J-011
          77:03F-089
          77:04A-011
          77:040-005
          77:05A-003
          77:05A-010
          77:07B-030
          77:088-007
          77:088-011
          77:088-016
Mesquite
         77:020-007

Meteorological Data
         77:020-001
         77:020-005
         77:020-008

Methodology
         77:02F-003
         77:02G-047
         77:02J-015
         77:03F-001
         77:03F-005
         77:048-003
         77:04B-004
         77:048-012
         77:078-002
                                                           Mist
Mixing
Methods
Mexico
         77:05A-010
         77:03F-005
         77:056-044
         77:06E-003
Michigan
         77:02E-003

Micro Environment
         77:03F-035

Micro Organisms
         77:03F-012

Microwaves
         77:020-034

Mineral Water
         77:02F-049

Mineralization
         77:02G-114
         77:02G-157
         77:02G-160
         77:02G-161
         77:02G-162
         77:021-003
         77:058-035

Mineralogy
         77:05A-006
Mining
         77:02G-137
         77:02J-036
Minnesota
         77:02J-008
         77:02J-010
         77:068-002

Miscible Displacement
         77:02G-175
           77:020-010
           77:056-050
                              Missouri
Mercury
          77:02G-090
          77:05A-006
          77:02J-043
          77:05G-031
          77:05G-032
Model Studies
           77:028-001
           77 :02B-002
           77:02C-001
           77:020-003
           77:020-004
           77:020-005
           77:020-009
           77:02E-001
           77:02E-002
           77:02E-003
           77:02E-005
           77:02E-006
           77 :02F-003
           77 :02F-007
           77:02F-010
           77:02F-011
           77:02F-012
           77:02F-013
           77:02F-014
           77:02F-018
           77:02F-019
           77:02F-020
           77:02F-022
           77:02F-024
           77:02F-025
           77 :02F-026
           77:02F-029
           77:02F-031
           77-.02F-032
           77:02F-033
           77:02F-034
           77:02F-038
           77:02F-039
           77:02F-045
           77:02F-046
           77:02F-049
           77:02F-051
           77:02G-002
           77:020-003
           77:02G-005
           77:02G-006
           77:02G-009
           77-.02G-010
           77:02G-011
           77:02G-014
           77:02G-015
           77:02G-026
           77:02G-027
           77:02G-028
           77:026-032
           77:02G-033
           77:026-035
           77:02G-036
           77:02G-044
           77:026-048
           77:026-049
           77:026-050
           77:02G-052
           77:02G-056
           77:026-058
           77 :02G-060
           77:026-062
                                        306

-------
Model Studies
    (cont.)
          77:02G-065
          77:02G-070
          77:02G-074
          77:02G-075
          77:02G-080
          77:02G-095
          77:02G-096
          77:02G-101
          77:02G-123
          77:02G-124
          77:02G-125
          77:02G-127
          77:02G-128
          77:02G-129
          77:02G-131
          77:02G-137
          77:02G-138
          77:02G-139
          77:02G-142
          77 :02G-143
          77:02G-175
          77:021-003
          77:021-015
          77:02J-004
          77:02J-007
          77 :02J-011
          77:02J-013
          77:02J-014
          77:02J-015
          77:02J-016
          77:02J-019
          77:02J-020
          77:02J-029
          77:02J-038
          77:02J-039
          77:02J-045
          77:02K-003
          77:03C-002
          77:03F-008
          77:03F-013
          77:03F-038
          77:03F-040
          77:03F-043
          77:03F-060
          77:03F-072
          77:03F-086
          77:03F-088
          77:03F-096
          77:03F-129
          77:03F-132
          77:03F-136
          77:04A-007
          77:04A-009
          77:04A-017
          77:04A-018
          77:04A-019
          77:04A-023
          77:040-003
          77:040-004
          77:040-006
          77:040-007
          77:05A-009
          77:058-001
          77:05B-004
          77:05B-008
          77:05B-013
          77:05B-016
          77:058-021
         77:058-
         77:05B
         77:05B
         77:058
         77:05B
         77:05B
         77:05B
         77:05B
         77:050
         77:05G
         77:05G
         77:05G
         77:05G
         77:05G
         77:05G
         77:056
         77:05G>
         77:05G
         77:05G
         77:056
         77:056
         77:06A
         77:06A
         77:07B
         77:078'
         77:078
         77:08B
 022
 027
 029
 038
 •040
 -047
 -052
 •054
 •008
 •001
 •006
 •007
 •008
 •009
 •019
 •022
 •027
 •029
 •031
 •036
 •039
 •002
 •006
 •009
 •010
.-027
-009
Molybdenum
           77:02G-112
Moisture Content
         77:02C-001
         77:02G-010
         77:02G-011
         77:02G-017
         77:02G-027
         77:02G-033
         77:02G-047
         77:02G-049
         77:02G-060
         77:02G-081
         77:02G-082
         77:02G-127
         77:02G-175
         77:03C-002
         77:04A-023

Moisture Deficit
         77:02G-096
         77:021-010
         77:021-011
         77:03F-006

Moisture Stress
         77:02G-008
         77:021-001
         77:021-010
         77:021-011
         77:02L-001

Moisture Tension
         77:020-004
         77:02G-008
         77:02G-016

Moisture Uptake
         77:03F-004
         77:03F-006

Mole Drainage
         77:02G-071
         77:026-092
Monitoring
Montana
           77:026-034
           77:05A-007
           77:056-020
           77:058-026
           77:058-045
           77:056-017
           77:078-002
           77:03F-043
Monte Carlo Method
           77:026-017
Monthly
           77:02D-001
Montmorillonite
           77:026-004
           77:02G-064
           77:02G-067
           77:026-080
           77:02G-121
           77:026-130
           77:026-131
           77:02J-010

Moody Resistance Diagram
           77:088-013
              Movement
              Mulches
              Mulching
                         77 :05B-004
                         77:058-050
                         77:02J-023
                         77:03F-033
                         77:02G-050
                         77:03F-020
                         77:03F-087
                         77:03F-128
                         77:058-039

              Multiple Purpose
                         77:050-003

              Municipal Wastes
                         77:05E-002

              Municipal Water
                         77:06E-008
                         77:06E-011
                         77:06E-012

              Natural  Resources
                         77:02F-044
                         77:03F-027
              Nebraska
                         77:020-001
                         77:02D-011
                         77:02E-004
                         77:02F-027
                         77:02F-042
                                         307

-------
Nebraska
    (cont.)
          77:02F-044
          77:020-096
          77:03F-020
          77:03F-084
          77:03F-117
          77:04B-015
          77:078-035

Nematocides
          77:03F-080
Networks
Nevada
          77:03F-005
          77:04B-003
          77:058-037
New Jersey
          77:06E-008
New Mexico
Nitrates
          77:02F-040
          77:02F-049
          77:03F-106
          77:03F-107
          77:058-005
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
          77
:02G-036
:02G-037
:02G-038
:02G-040
:02G-063
:02G-096
:02G-097
:02G-103
:02G-105
:02G-113
:02G-120
:02G-147
:02G-165
:02I-012
:02K-005
:03F-049
:03F-057
:04B-013
:05A-002
:05A-004
:05A-007
:05A-009
:05B-004
:05B-005
-.058-010
:05B-011
:05B-016
:05B-017
:05B-020
:05B-024
:05B-025
:05B-031
:05B-039
:05B-042
:05B-048
:05B-050
:05B-053
:05B-055
:05D-007
                           77:050-009
                           77:05G-004
                           77:05G-026
                           77:07B-015
                           77:078-020
                           77:07B-035

                 Nitrification
                           77:02G-036
                           77:02G-053
                           77:026-062
                           77:02G-103
                           77:02G-160
                           77:02G-169
                           77:021-003
                           77:02K-005
                           77:05A-010
                           77:05B-036
                           77:05B-051
                           77:05D-002
                           77:050-005
                           77:05E-002
                           77:07B-032
                              Nitrites
                           77:020-097
                           77:02G-113
                           77:02G-159
                           77:026-163
                           77:058-025
                           77:058-048
                           77:07B-034
Nitrogen
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
         77
:02B-001
:02G-040
:020-041
:026-053
:02G-063
:02G-096
:02G-099
:02G-100
:02G-103
:02G-104
:02G-113
:02G-114
:02G-120
:02G-143
:02G-146
:02G-147
:026-159
:020-160
:026-161
:02G-162
:02G-163
:02G-165
:02G-169
:020-170
:02G-171
:02I-003
:02I-012
:02J-008
:02J-011
:02J-044
:02J-046
:02K-005
:03F-004
:03F-014
:03F-032
:03F-043
           77:03F-045
           77:03F-049
           77:03F-056
           77:03F-090
           77:03F-108
           77:03F-109
           77:03F-127
           77:03F-131
           77:05A-002
           77:05A-010
           77:058-014
           77:05B-026
           77:058-029
           77:058-030
           77:05B-031
           77:05B-033
           77:056-035
           77:058-036
           77:058-038
           77:05B-039
           77:05B-043
           77:058-048
           77:058-050
           77:05B-053
           77:058-055
           77:050005
           77:05D-008
           77:05G-004
           77:056-005
           77:056-019
           77:050-031
           77:078-003
           77:07B-010
           77:078-014
           77:078-016
           77:078-020
           77:078-032
           77:07B-033


 Nitrogen  Compounds
           77:048-015
           77:05A-010
           77:058-048
           77:050-004
Nonhomogeneous Soils
           77:020-125

Nonpoint Source Pollution
           77:05G:023
           77:05G-040

North Dakota
           77:026-005
           77:021-018
           77:03F-058

Nuclear Meters
           77:02G-047

Nuclear Moisture Meters
           77:02D-003
           77:020-047

Nuclear Powerplants
           77:058-022

Nuclear Reactors
           77:058-007
                                         308

-------
Nuclear Wastes
           77:05B-007

Numerical  Analysis
           77:02F-001
           77:02F-009
           77:02F-010
           77:02F-012
           77:02F-014
           77:02F-028
           77:02F-029
           77:02G-027
           77:02G-077
           77:02J-015

Nutrient  Removal
           77:026-143

Nutrient  Requirements
           77:03F-004
 Nutrients
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           77:
           7-7:
           77:
           77:
           77:
           77:
           77:
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
 02E
 02G
 02G
 026
:026
:02G
:02G
:02G
:026
:02G
:02G
:02G
:02G-
:026-
:02G-
:02I-
:02J-
:02J-
:02J-
:02J-
:03F-
:03F'
:03F-
:03F-
:03F'
:03F
:03F
:03F
:03F
:03F
 03F
 03F
 03F
 03F
 03F
 03F
 03F
 03F-
 04A-
 04A-
 05B-
 05B-
 05B-
 05B
 05B-
 058-
 058-
 058-
-003
i-053
-057
r-062
,-101
i-104
;-i34
,-143
,-147
,-149
1-150
i-157
 •163
 170
  012
 •008
 •010
 •044
 •046
 •013
 •014
 -022
 •032
 •033
 •045
 -047
 -049
 -062
 •090
 -102
 -108
 -109
 -116
 -127
 -129
 -130
 •132
 -006
 -042
 -Oil
  014
  026
  029
  030
  032
  046
  048
                        77:05B-055
                        77:050-007
                        77:05G-004
                        77:05G-015
                        77:05G-019
                        77:05G-023
                        77:056-027
                        77:05G-031
                        77:056-033
                        77:056-040
                        77:078-002
                        77:07B-014
                        77-.07B-015
                        77:07B-018
               Oak  Trees
                                        77:058-022
                                        77:058-045
                                        77:058-050
                                        77:088-007

                             On-Site Tests
                                        77:02D-002
                                        77:020-003
                                        77:020-005
                                        77:026-125
                                        77:02J-011
                                        77.-02J-041
                                        77:040-005
                                        77:05B-050
                                        77:078-001
                        77:02G-014
                                            Onions
               Oats
         77:021-010
         77:021-011
         77:02J-023
         77:040-005

Observation Wells
         77:02F-037
         77:026-025
         77:048-007
         77:058-019
                                        77:03F-042
                                        77:03F-079
Ohio
         77:028-001
         77:046-012
         77:040-005
         77:058-049
Oklahoma
         77:02G-114

On-Site Data Collections
         77:03F-089
         77:05B-017
         77:058-031

On-Site Investigations
         77:02E-004
         77:02F-036
         77:026-003
         77:026-005
         77:026-006
         77:026-007
         77:026-014
         77:026-015
         77:026-017
         77:026-018
         77:02G-031
         77:026-050
         77:02G-060
         77:026-082
         77:026-174
         77:021-011
         77:02J-011
         77:02K-001
         77:040-001
         77:040-005
         77:058-002
         77:058-003
         77:058-005
         77:058-018
Open Channel Flow
           77:02E-001
           77:078-025
           77:078-026
           77:078-027
           77:078-029
           77:088-001
           77:088-003

Open Channels
           77:02J-007
           77:040-007
           77:05A-001
           77:078-026
           77:088-001

Operations
           77 :03F-003
           77:03F-021

Operations Research
           77:048-004
           77:056-003

Optimization
           77:02F-039
           77:026-019
           77:03C-002
           77:03F-001
           77:03F-003
           77:03F-088
           77:04A-001
           77:048-001
           77:048-003
           77:048-004
           77:048-006
           77:048-008
           77:050-003
           77 :05G-003
           77:05G-018
           77:08B-004
Orchards
           77:02G-049
           77:03F-086
           77:03F-121
           77-.04A-008
           77 :04A-026
                                        309

-------
Oregon
          77:02G-082
          77:06E-013
Organic Compounds
          77:020-156

Organic Loadings
          77:05B-026

Organic Material
          77:02F-030

Organic Matter
          77:02G-082
          77:02G-089
          77:02G-090
          77:02G-119
          77:02G-157
          77:026-172
          77:03F-012
          77:03F-030
          77:03F-128
          77:050-002

Orifice Flow
          77:03F-089

Orifices
          77:03F-089
          77:04A-028
          77:08B-005
          77:086-008

Osmotic Pressure
          77:02G-008
Overflow
          77:08B-011
Path of Pollutants
         77:02G-015
         77:02G-018
         77:026-022
         77:02G-143
         77:05B-001
         77:05B-002
         77:058-004
         77:05B-008
         77:05B-009
         77:058-021
         77:058-024
         77:056-025
         77:058-027
         77:056-056
         77:056-032
                                                           Permits
                                                                      77:05G-021
Peaches
         77:020-010
         77:03F-086
Peak Discharge
         77:040-006
Peanuts
         77:03F-039
         77:03F-044
Overland Flow
          77:02E-005
          77:026-142
          77:02J-042
          77:02J-044

Oxidation
          77:02G-085
          77:02G-158
          77:02G-159
          77:058-051

Oxidation-Reduction Potential
          77:05A-006

Particle Size
          77:02F-005
          77:02G-016
          77:056-049
          77:058-051

Pasture Management
          77:03F-015
          77:03F-016
Pennsylvania
         77:02K-002
         77:05B-050

Perched Water
         77:026-025

Percolation
         77:026-002
         77:02F-001
         77:026-003
         77:026-078
         77:026-096
         77:026-142
         77:05B-004
         77:05B-010
         77:05B-050
         77:05G-004
Perlite
         77:026-008
Pastures
          77:026-071
          77:03F-015
          77:03F-016
          77:05A-003
Permability
         77:028-002
         77:02F-005
         77:02F-006
         77:02F-007
         77:02F-009
         77:02F-014
         77:02F-015
         77:02F-019
         77:02F-020
         77:02F-033
         77:02F-034
         77:02F-036
         77:02F-047
         77:02F-049
         77:026-004
         77:026-030
         77:026-095
         77:026-142
         77:026-174
Permselective Membranes
           77:05A-009

Pesticide Removal
           77:056-002

Pesticide Residues
           77 :05B-006
Pesticides
           77:02E-003
           77:02G-175
           77:03F-116
           77:04A-042
           77:056-006
           77:058-009
           77:058-011
           77:058-041
           77:05B-046
           77:058-056
           77:05G-002
           77:056-011
           77:056-023
           77:056-024
           77:056-040
Petrology
           77:02K-002
Phosphates
           77:026-059
           77:026-084
           77:026-132
           77:026-135
           77:026-164
           77:03F-057
           77:04A-006
           77:05A-003
           77:05A-004
           77:05B-001
           77:056-011
           77:058-025
           77:05D-004
           77:050-006
           77:050-009
                             Phosphorus
           77:026-001
           77:02G-052
           77:026-059
           77:026-099
           77:02G-109
           77:026-110
           77:026-143
           77:026-149
           77:026-150
           77:026-151
           77:02J-008
           77:02J-011
           77:02J-044
           77:02J-046
           77:03F-004
           77 :03F-022
           77:03F-031
           77 :04B-014
           77:05A-003
                                       310

-------
Porous Media
          77:020001
          77:02F-002
          77:02F-007
          77:02F-009
          77:02F-012
          77:02F-014
          77:02F-024
          77:02F-033
          77:02F-034
          77:02F-052
          77:02G-002
          77:02G-012
          77:02G-013
          77:02G-016
          77:026-018
          77:020-030
          77:02G-033
          77:02G-061
          77:02G-094
          77:02G-124
          77:02G-127
          77:026-143
         77:02G-004
         77:02G-011
         77:026-035
         77:088-003

Pressure Head
         77:026-033
         77:026-035
         77:026-058
         77:02G-126
         77:026-175
         77:02G-176
Prices
Pricing
         77:03F-001
         77:03F-073
         77:03F-074
         77:03F-135
         77:056-003

Priorities
         77:06B-002
           77:03F-107
           77:03F-113
           77:04A-001
           77 :04A-041
           77:04B-001
           77:04B-004
           77:04B-005
           77:04B-006
           77:04B-007
           77:04B-012
           77:046-015
           77:05B-020
           77:056-017
  Pumping Plants
           77:02F-051
           77:03F-070
           77:03F-107
           77:04A-041
           77:08C-001

  Pumping Recharge
           77:046-003
 Potassium
 Potatoes
           77:02B-001
           77:026-066
           77:026-145
           77:026-148
           77:02J-008
           77:03F-032
           77:04B-009
           77:05B-011
           77:05B-049
           77:03F-045
           77:03F-056
           77:05B-017
           77:056-005
 Potentiometric Level
           77:02F-006
Powerplants
          77:04A-041
          77:05B-022

Precipitation  (atmospheric)
          77:028-002
          77:02E-004
          77:02F-011
          77:026-032
          77:026-034
          77:026-050
          77:026-060
          77:02G-127
          77:026-142
          77:02J-044
          77:058-021

Precipitation  Excess
          77:028-002

Precipitation  Intensity
          77:02B-002
Probability
         77:048-004

Profiles
         77:020-003
         77:026-010
         77:026-027
         77:026-033
         77:088-003

Project Feasibility
         77:03F-001

Project Planning
         77:03F-001

Projects
         77:06C-001

Properties
         77:02G-078

Public Benefits
         77:068-001

Public Health
         77:058-031

Public Rights
         77:06A-005

Pump Testing
         77:02F-036
         77:02F-051
Pumping
 Pressure
           77:020-008
           77:026-002
         77:02F-013
         77:02F-019
         77:02F-023
         77:02F-025
         77:02F-028
         77:02F-037
         77:02F-047
         77:02F-048
         77:03F-021
         77:03F-106
                                                           Pumps
Radiation
           77:02F-051
           77:03F-106
           77:03F-107
           77:080-001
           77:020-008
Radioactive Wastes
           77:058-007

Radiochemical Analysis
           77:058-007

Radioisotopes
           77:020-054
           77:058-007
                                                           Raindrops
Rainfall
                                                                      77:02G-079
                                                                      77:02J-001
           77:028-002
           77:020-008
           77:02F-023
           77:02F-049
           77:026-034
           77:026-050
           77:026-058
           77:026-060
           77:020-071
           77:026-075
           77:020-096
           77:026-127
           77:026-137
           77:026-142
           77:02J-001
           77:02J-008
           77:02J-015
           77:02J-023
           77:02J-025
           77:02J-042
           77:02J-044
                                        312

-------
Rainfall
    (cont.}
          77:03F-003
          77:03F-109
          77:040-005
          77:05B-033
          77:05B-052
          77:078-011

Rainfall  Intensity
          77:026-001
          77:02G-050
          77:026-075

Rainfall  Patterns
          77:02B-002

Rain-Runoff  Relationships
          77:026-032
          77:026-075
          77:026-095
          77:02J-008

Rainfall  Simulators
          77:02J-001
          77:07B-011

Range  6rasses
           77:02E-005

Rating Curves
           77:088-016

Recharge
           77:02F-011
           77:02F-025
           77:02F-032
           77:02F-040
           77:02F-049
           77:048-012
           77:050-004
           77:050-005

Recharge  Ponds
           77:05A-007

Recycling
           77:04A-005
           77:050-001

Reflectance Analysis
           77:020-002

Regional  Analysis
           77:04A-022
           77:048-003
 Regions
           77:03F-018
           77:050-003
           77:06C-001
 Regression Analysis
            77:026-036
            77: 02G-056
            77:026-173
            77:038-001
            77:03F-005
            77:04B-005
Regulation
          77:056-021

Remote Sensing
          77:026-034

Research and Development
          77:03F-007

Reservoir Design
         77:040-006

Reservoir Silting
         77:02J-015

Reservoir Storage
         77:02J-015

Reservoirs
         77:02J-015
         77:04A-022
         77:048-003
         77:056-031
         77:056-032
         77:056-033

Resistivity
         77:02F-005
         77:02F-021
         77:02F-036

Resource Development
         77:03F-077

Resources
         77:02F-044
         77:03F-077

Respiration
         77:026-158
Retention
         77:026-032
         77:02G-081

Return  Flow
         77:026-038
         77:026-039
         77:026-044
         77:026-103
         77:021-004
         77-.02J-010
         77:03A-001
         77.-03F-007
         77:03F-008
         77:03F-057
         77:04A-004
         77:04A-005
         77:04A-006
         77:04A-008
         77-.04A-009
         77:04A-010
         77:04A-029
         77:04A-030
         77:04A-042
         77:05A-004
         77:05A-005
         77:056-003
         77:058-011
         77 -.058-012
            77.-05B
            77:058
            77:058
            77:056
            77:056
            77:056
            77:056
            77:056
            77:056
            77:056
            77:056'
            77:056
            77:056-
            77:056'
            77:06A-
            77:06A-
            77:06A-
            77:06E-
            77:06E-
            77:06E-
            77:078-
-013
-017
-037
-005
•008
•010
•Oil
•019
•020
•022
 027
•028
•030
 034
 001
 003
 006
 002
 004
 006
 010
Return (Monetary)
           77:03F-001
Reviews
           77:02J-004
Reynolds Number
           77:026-030
Rhodamine
           77:076-001
Rhode Island
           77:02F-036
Rice
           77:026-
           77:026-
           77:026-
           77:021-
           77:03F-
           77:03F-
           77:058-
           77:058-
           77:050-
008
099
109
019
002
046
006
Oil
004
Rill Erosion
           77:02J-041
           77:02J-042

Rio Grande River
           77:04A-008
Risks
                                                                       77-.02J-015
                                                                       77:03F-001
River Basins
           77:04A-001
           77:04A-022
           77:048-012
           77:050-003
           77:056-003
           77:05G-023
Rivers
           77:02E-001
           77:02J-043
           77:058-002
           77:056-001
                                         313

-------
Salinity
    (cont.)
          77:05G-014
          77:05G-015
          77:05G-016
          77:05G-018
          77:05G-019
          77:05G-022
          77:05G-027
          77:05G-037
          77:06A-006
          77:06E-003
          77:076-006
          77:090-001

Salt Balance
          77:04A-001

Salt Tolerance
          77:021-006
          77:03C-001
           77:058-028
           77:05G-035
 Salts
 Sampling
           77:02D-004
           77:02G-004
           77:02G-015
           77:02G-078
           77:02G-083
           77:020-155
           77:02G-160
           77:02G-175
           77:026-176
           77:021-006
           77:021-008
           77:030001
           77:03F-116
           77:04A-026
           77:04A-029
           77:04A-030
           77:05A-005
           77:05A-007
           77:05A-008
           77:05B-015
           77:05B-021
           77:058-028
           77.-05B-039
           77:056-034
           77:056-037
           77:026-001
           77:026-003
           77:026-017
           77:026-038
           77:026-040
           77:026-054
           77:026-068
           77:02G-158
           77:021-017
           77:021-018
           77:02J-002
           77:02J-011
           77:03F-010
           77:03F-011
           77:03F-059
           77:05A-007
           77:058-017
           77:058-020
         77:05B-
         77:058-
         77:058-
         77:05B
         77:056
         77:07B
         77:07B
         77:07B
         77:078
         77:07B
         77:07B
         77:078
         77:07B
         77:078
         77:07B
         77:07B
         77:07B
         77:078
         77:078
         77:08A
         77:088
031
034
050
•055
'033
005
•008
•012
013
•018
•019
•020
•021
•023
•031
•032
•033
•035
•036
•001
•004
Scheduling
Sand Aquifers
         77:02F-005

Sands
         77:026-022
         77:026-027
         77:026-096
         77:026-167
         77:02J-002
         77:03F-056
         77:058-001
         77:05B-010
         77:050-004

Sandstones
         77:02F-005
         77:02F-021
         77:02F-025

Satellites (Artificial)
         77:026-034
         77:02L-001

Saturated Flow
         77:02F-004
         77:02F-014
         77:026-016
         77:026-022
         77:026-023
         77:026-094
         77:026-128
         77:04A-025
         77:088-008

Saturated Soils
         77:026-113
         77:026-127
         77:021-019
         77:03F-046
         77:050-004

Saturation
         77:026-058
         77:021-018
Scour
Screens
Sea Water
Seasonal
           77:03F-050
           77:03F-082
           77:03F-117
           77:078-036
           77:02J-043
           77:02F-019
           77:02F-028
           77.-04B-011
Scaling
         77:026-031
           77:038-001
           77:048-004
           77:05B-020

Sediment Control
           77:02J-012
           77:02J-019
           77:02J-035
           77:02J-036
           77:02J-039
           77:04A-042
           77:04D-007
           77:06A-001
           77:08B-005

Sediment Discharge
           77:02J-012
           77:02J-013
           77:02J-015
           77:02J-029
           77:02J-030
           77:02J-037

Sediment Load
           77:02J-011
           77:02J-012
           77:02J-018
           77:02J-019
           77:02J-025
           77:02J-026
           77:02J-029
           77:02J-030
           77:02J-039
           77:03F-063
           77:04A-035
           77:040-004


 Sediment Transport
           77:02J-001
           77:02J-002
           77:02J-004
           77:02J-011
           77:02J-012
           77:02J-013
           77:02J-016
           77:02J-025
           77 :02,T-0?8
           77:02J-029
           77:02J-031
           77:02J-032
           77:02J-034
           77:02J-039
           77:02J-040
           77:02J-042
                                         315

-------
Sedinent Transport
    (cont.)
           77:040-004
           77:040-007
           77:058-049

Sediment Yield
           77:02J-004
           77 :02J-015
           77:02J-017
           77:02J-041
           77:02J-042
           77:04A-006
           77-.04D-005
           77:04D-006

Sediment-Water Interfaces
           77:021-018
 Sedimentary Basins
           77:02J-018

 Sedimentary  Rocks
            77:02K-002
 Sedimentation
            77:
            77;
            77:
            77:
            77:
            77:
            77:
            77:
            77:
            77:
            77:
            77:
            77:
            77:
            77:
            77:
            77:
            77:
            77:
            77:
            77:
            77:
            77:
            77:
            77:
            77:
            77:
02J-002
02J-003
02J-004
02J-007
02J-011
02J-012
02J-013
02J-018
02J-019
02J-024
02J-028
02J-030
02J-045
04A-042
04D-001
04D-004
05B-033
05B-046
05B-053
05B-054
05C-003
05G-022
05G-024
05G-031
06E-007
07B-011
08B-005
 Sediments
            77:02E-003
            77:02G-071
            77:02G-149
            77:021-018
            77:021-019
            77:02J-002
            77:02J-003
            77:02J-010
            77:02J-011
            77:02J-012
            77:02J-014
            77:02J-017
            77:02J-018
            77:02J-024
         77:02J-025
         77:02J-026
         77:02J-027
         77:02J-029
         77:02J-030
         77:02J-035
         77:02J-036
         77:02J-037
         77:02J-038
         77:02J-039
         77:02J-044
         77:02J-045
         77:03F-062
         77:03F-063
         77:03F-116
         77:04A-006
         77:04A-042
         77:040-004
         77:040-007
         77:05A-004
         77:05B-007
         77:05B-009
         77:058-030
         77:05B-033
         77:05B-048
         77:05B-049
         77:05B-053
         77:05B-054
         77:05C-003
         77:05G-002
         77:05G-025
         77:05G-031
         77:05G-032
         77:056-033
         77 :07B-002
         77:078-011

Sedimentology
         77:02J-002
         77:02J-013


Seed Treatment
         77:030001
Seeds
Seepage
         77:03C-001
         77:03F-085
         77:02F-001
         77:02F-009
         77:02F-015
         77:02F-052
         77:026-003
         77:02G-021
         77:02G-048
         77:02G-054
         77:02G-124
         77:02G-143
         77:021-008
         77:03F-063
         77 :03F-095
         77:04A-015
         77:05A-005
         77 :05G-007
         77:05G-036
         77:07B-024
         77:09C-001
                                               Seepage Control
                                                        77:02G-124
                                                        77:05G-036

                                             Semiarid Climates
                                                        77 :03C-001
                                                        77:060-002

                                             Settling Basins
                                                        77:08B-005

                                             Settling Velocity
                                                        77:08B-005

                                             Sewage Disposal
                                                        77:05G-017

                                             Sewage Sludge
                                                        77 :05B-045

                                             Sewage Treatment
                                                        77:050-008
                                                        77:05E-002

                                             Shallow Wells
                                                        77:056-020
                                             Shape
                                                        77:02F-008
Shear Strength
           77:02G-079

Shear Stress
           77:02J-003
           77:02J-042
           77 :08B-001

Sheet Erosion
           77:026-007
           77:02J-001
           77-.02J-041
           77:02J-042

Silts
           77:02G-082
           77:02J-003
           77:02J-010
           77:02J-044

Silviculture
           77:026-153

Simulated Analysis
           77:02E-002
           77:02E-051
           77:026-010
           77:026-027
           77:02G-044
           77:026-052
           77:026-076
           77:026-094
           77:026-123
           77:02G-137
           77:021-003
           77:021-015
           77:02J-007
           77:02J-016
           77:02J-017
           77:02J-019
           77 :02J-031
                                        316

-------
Simulated Analysis
    (cont.)
          77:03F-003
          77:03F-072
          77:03F-088
          77:03F-096
          77:03F-129
          77:04A-001
          77:04A-007
          77:04A-017
          77:04A-019
          77:04B-002
          77:046-008
          77:048-012
          77:056-013
          77:058-029
          77:05B-040
          77:05B-052
          77:05G-006
          77:050-008
          77:050-009
           77:05G-019
          77:05G-028
           77:05G-029
           77:05G-031
           77:078-009
           77:078-010
           77:078-011
           77:088-009

 Simulated Rainfall
           77:028-001
           77:02G-058
           77:02J-001
           77: 02J-044
 Sinks
           77:02F-010
 Slope Stability
           77:040-001
 Slopes
 Sludge
           77:028-001
           77:02F-008
           77:02J-001
           77:02J-041
           77:02J-043
           77:05E-002
 Sludge Disposal
           77:058-045

 Sluice Gates
           77:088-003
 Sluices
           77:088-003
 Small Watersheds
           77:02E-005
 Snowmelt
           77:02J-008
 Social Aspects
           77:02J-027
Social Needs
         77:068-001

Social Participation
         77:068-001

Social Values
         77:02J-027

Sodium
         77:02F-016
         77:026-066
         77:026-080
         77:02G-081
         77:02G-107
         77:02G-108
         77:02G-121
         77:02J-008
         77:048-009
         77:058-005
         77:058-049
         77:05G-037

Sodium Chloride
         77:02G-004
         77:03C-001
         77:058-019

Soil Aggregates
         77:026-012
         77:026-013

Soil Amendments
         77:026-046
         77:02G-154
         77:02G-160
         77:026-161
         77:02G-162
         77:026-168
         77:058-045
         77:05E-002

Soil Analysis
         77:026-047
         77:030002
         77:058-006
         77:056-009
         77:058-048
         77:058-049

Soil Chemical Properties
         77:026-015
         77:02G-067
         77:026-069
         77:026-078
         77:02G-098
         77:02G-106
         77:026-110
         77:026-111
         77:026-112
         77:026-164
         77:02G-165
         77:026-169
         77:03F-015
         77:03F-016
         77:056-001

Soil  Chemistry
         77:026-069
           77:026-084
           77:026-085
           77:026-089
           77:026-090
           77:026-098
           77:026-101
           77:026-102
           77:026-105
           77:026-106
           77:026-107
           77:026-110
           77:026-111
           77:026-112
           77:026-121
           77:026-130
           77:026-131
           77:02G-132
           77:026-133
           77:026-134
           77:02G-135
           77:026-145
           77:026-146
           77:026-148
           77:026-150
           77:026-151
           77:026-155
           77:026-157
           77:026-158
           77:02G-161
           77:026-162
           77:026-163
           77:026-164
           77:02G-165
           77:026-169
           77:026-170
           77:02K-001
           77:02K-003
           77:03F-015
           77:03F-016
           77:03F-132
           77:056-001
           77:058-023
           77:058-049
           77:056-004
           77:05G-029
           77:06A-006

Soil Compaction
           77:026-136
           77:03F-110

Soil Conservation
           77:02J-034
           77:03F-020
           77:03F-051
           77:03F-052
           77 :03F-066
           77:04A-042
           77:058-030

Soil Contamination
           77:026-001
           77:058-006
           77:056-008
           77:056-009
           77:056-024
           77:058-045
           77:058-056
                                         317

-------
Soil Density
          77:026-161
          77:020-162
          77:03F-110

Soil Environment
          77:02J-008
          77:03F-099
          77:07B-008
Soil Erosion
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77:
          77;
          77:
          77:
          77;
          77;
          77:
          77:
          77:
          77:
          77;
          77:
          77:
          77:
02B-
026-
02J-
02J-
02J-
02J-
02J-
02J-
02J-
02J-
02J-
02J-
02J-
02J-
02J-
02J-
02J-
02J-
:02J-
02J-
:02J-
;02J-
:02J-
;02J-
:02J-
:02J-
:02J-
:02J-
:03F-
:03F-
:03F-
:03F-
:05B-
:05G-
:06E-
:07B-
001
173
001
008
010
012
016
017
020
022
•023
•025
•027
•028
•029
•030
•031
•032
•033
•034
•035
•037
•038
•040
-041
•042
•044
•046
-048
-051
•052
-110
-030
•025
-007
-Oil
 Soil  Filters
           77:050-004
           77:050-005

 Soil  Gases
           77:07B-016

 Soil  Horizons
           77:02G-032

 Soil  Investigations
           77:02G-005
           77:02G-036
           77:02G-038
           77:02G-039
           77:02G-041
           77:026-043
           77:02G-051
           77:026-052
           77:026-057
           77:026-059
           77:026-062
77:026-
77:026-
77:026-
77:026-
77:02G-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:02G-
77:02G-
77:02G-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:02G-
77:02G-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:026-
77:02G-
77:026-
77:026-
77:026-
77:026-
77:02G-
77:026-
77:02G-
77:02G-
77:026-
77:026-
77:02G-
77:02G-
77:02G-
77:02J-
77:02J-
77:02K-
77:03F-
77:03F-
77:03F-
77:03F'
77:03F-
77:03F'
77:03F
77:03F'
77:03F'
77:03F
77:04A
77:04B
77:05B
                           77:05B-
063
066
068
069
070
071
076
084
085
089
090
097
098
099
100
102
105
106
107
108
109
110
111
112
113
114
•119
120
121
•133
•144
145
•146
•147
•148
•149
•151
•152
•155
•157
•158
•159
•161
•162
•164
•165
•166
•167
•168
•169
•170
•171
•172
•008
•024
•003
•012
-013
-015
•016
•031
-041
-099
-111
-127
-128
-029
-014
-015
032
           77:05B-039
           77 :05B-043
           77:058-052
           77:05C-004
           77:07B-006
           77:07B-008
           77:078-012
           77:078-016
           77:078-017
           77:078-019
           77:07B-037

Soil Management
           77:02J-008
           77:03F-048
           77:03F-051
           77:03F-052
           77:03F-110
           77:05B-003
           77:05B-041

Soil Mechanics
           77:04D-001

Soil Microorganisms
           77:026-166
Soil Moisture
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
           77
:02D-004
:02D-011
:02F-031
:02G-003
:026-005
:02G-006
:026-008
:026-009
:026-010
: 026-030
:02G-033
:02G-034
:02G-035
:02G-039
:02G-047
:02G-054
:02G-055
:02G-071
:02G-074
:026-078
:02G-087
:026-088
:026-091
:02G-114
:02G-115
:02G-129
:026-136
:02G-142
:02G-146
:02G-148
:02G-151
:02G-152
:02G-155
:02G-156
:026-170
:02I-002
:02I-005
:02I-007
:02I-008
:02I-014
-.021-015
:02I-016
                                        318

-------
Soil Moisture
    (cont.}
          77:030002
          77:03F-003
          77:03F-020
          77:03F-023
          77:03F-028
          77:03F-036
          77:03F-042
          77:03F-044
          77:03F-046
          77:03F-050
          77:03F-054
          77-.03F-069
          77:03F-075
          77:03F-078
          77:03F-082
          77:03F-090
          77:03F-094
          77:03F-099
          77:03F-109
          77:03F-112
           77:03F-126
           77:03F-136
           77:04A-026
           77:04A-029
           77:04D-006
           77:05B-035
           77:05B-041
           77:06D-002
           77:07B-006
           77-.07B-023
           77-.07B-036
           77-.07C-002

 Soil  Moisture Meters
           77:02G-034
           77:02G-047

 Soil  Particles
           77:03F-095

 Soil  Physical Properties
           77:02G-031
           77:02G-040
           77:02G-046
           77:026-074
           77:020-125
           77:02G-168
           77:02G-174
           77:02G-176
           77:03F-099
           77:03F-110
           77:04A-036

 Soil Physics
           77:020-004
           77:02G-002
           77:02G-003
           77:02G-006
           77:02G-031
           77:02G-035
           77:02G-074
           77:026-127
           77:026-173
           77:02G-174
           77:02G-175
           77:03F-132
           77:04A-023
           77:05B-002
           77:05B-024
Soil Profiles
         77:020-004
         77:020-005
         77:02G-032
         77:02G-051
         77:02G-120
         77:02G-129
         77:026-154
         77:02G-167
         77:03F-015
         77:03F-016
         77:03F-111
         77:05B-002
         77:05B-003
         77:05B-004
         77:05B-055
         77:050-004
         77:056-040
         77:078-016
         77:07B-019
         77:07B-020

Soil Properties
         77:028-002
         77:02D-009
         77:02G-005
         77:02G-010
         77:02G-015
         77:02G-017
         77:020-028
         77:026-032
         77:02G-046
         77:026-047
         77:026-050
         77:026-055
         77:026-056
         77:026-060
         77:02G-067
         77:026-069
         77:026-080
         77:026-081
         77:026-082
         77:026-083
         77:026-089
         77:02G-091
         77:02G-096
         77:026-099
         77:02G-104
         77:02G-107
         77:026-108
         77:02G-109
         77:026-119
         77:02G-121
         77:026-130
         77:026-131
         77:026-132
         77:02G-133
         77:02G-134
         77:026-140
         77:026-143
         77:020-148
         77:020-150
         77:02G-157
         77:026-158
         77:026-168
         77:02G-169
         77:02G-172
         77:026-173
         77:026-174
          77:02K-
          77:03F-
          77:03F-
          77:03F-
          77:03F-
          77:03F-
          77:03F-
          77:03F-
          77:04A-
          77:04B-
          77:05B-
          77:058-
          77:058-
          77:078-
          77:07B-
          77:07B-
          77:078-
          77:07B-
          77:078-
•005
•043
•048
•080
•099
•100
103
•110
036
014
015
041
042
008
012
016
019
023
037
Soil Science
77
77
77
77
77
77
77
77
77
77
77
77
77
77
77
77
77
77
77
77
77
77
77
77
77
77
77
77
77
77

:02D-004
:02F-033
:026-001
:026-002
:026-003
:02G-004
:02G-005
:02G-006
:02G-015
: 026-016
:026-017
:026-018
:02G-022
:026-023
:026-024
:02G-027
:02G-035
:02G-056
:02G-058
:02G-074
:02G-080
=026-083
:02G-127
:02G-174
:02G-175
:02J-001
:02J-008
:04A-023
:05B-002
:05B-056
Soil Solutions
           77:026-083

Soil Strength
           77:026-079
           77:040-001

Soil Structure
           77:026-023
           77:020-024
           77:03F-110
           77:03F-111

Soil Surface
           77:03F-048
                                         519

-------
Soil Temperature
          77:02G-005
          77:02G-006
          77:02G-007
          77:02G-051
          77:02G-104
          77:02G-140
          77-.03F-041
          77:03F-055

Soil Tests
          77 :02G-047
          77:02G-068
          77:02G-089
          77:02G-097
          77:02G-107
          77:02G-126
          77:02G-158
          77:03F-111
          77:078-008
          77:078-019
          77:07B-020
          77:076-037

Soil Texture
          77:02G-104
          77:02G-110
          77:02G-119
          77:02G-161
          77:02G-162
          77:02G-167
          77:02G-171
          77:02J-024
          77:02J-043
          77:04A-036
          77:078-006
          77:078-012

Soil Treatment
          77:02G-046
          77:03F-111
 Soil  Types
           77:02G-035
           77:026-126
           77:03F-111
           77:058-010
 Soil Water
           77:020001
           77:02D-003
           77:020-004
           77:020-005
           77:020-009
           77:02E-002
           77:02F-031
           77:02F-032
           77:02F-033
           77:02G-001
           77:02G-002
           77:02G-003
           77:02G-004
           77:026-005
           77:026-006
           77:02G-007
           77:026-010
           77:026-014
           77:026-016
           77:026-017
77:026-018
77:02G-019
77 :02G-020
77:026-022
77:026-028
77:026-030
77:026-032
77:026-033
77:026-034
77:026-035
77:026-041
77:026-043
77:02G-046
77:026-047
77:02G-048
77:02G-054
77:026-055
77:02G-056
77:026-058
77:02G-060
77:026-061
77:02G-074
77:026-078
77:026-081
77:026-082
77:026-087
77:026-088
77:02G-091
77:026-093
77:026-094
77:026-095
77:026-096
77:026-114
77:02G-115
77:026-124
77:026-128
77:026-129
77:026-136
77:026-137
77:026-138
77:026-139
77:026-140
77:026-143
77:026-146
77:026-148
77:026-151
77:026-152
77:02G-156
77:026-168
77:026-174
77:02G-175
77:021-002
77:021-003
77:021-005
77:021-007
77:021-008
77:021-014
77:021-015
77:02K-001
77:03B-001
77:030002
77:03F-004
77:03F-010
77:03F-011
77:03F-020
77:03F-034
77:03F-035
77:03F-036
77:03F-042
           77 :03F-044
           77:03F-046
           77:03F-050
           77:03F-054
           77:03F-067
           77:03F-069
           77:03F-075
           77:03F-078
           77:03F-082
           77:03F-090
           77:03F-099
           77:03F-109
           77:03F-112
           77:03F-132
           77:04A-003
           77:04A-023
           77:04A-025
           77:04A-026
           77 :04A-029
           77:04A-040
           77:048-002
           77:058-002
           77 :05B-035
           77:058-041
           77: 05B-050
           77:050-004
           77:056-005
           77:078-006
           77:078-015
           77:07B-023
           77:076-036
           77:076-002

Soil Water Movement
           77:028-002
           77:020-003
           77:020-004
           77:020-009
           77:02F-033
           77 :026-002
           77:026-003
           77:026-004
           77:026-006
           77:02G-009
           77:026-010
           77:02G-014
           77:026-017
           77:026-018
           77:026-019
           77 :026-020
           77 :02G-021
           77:026-022
           77:026-023
           77:026-024
           77 :02G-025
           77:02G-026
           77:026-027
           77:026-028
           77:026-029
           77:02G-030
           77:026-031
           77:026-033
           77:026-035
           77:026-041
           77:026-043
           77:026-046
           77:02G-048
           77:02G-049
           77 :02G-054
                                        320

-------
Soil Water Movement                     77.n7r  mi
    /   ,,                             //:UzG— UXX                      VT-n^r-iTi
    (cont->                             77.n?r:_nT7                      :;-r:G"H^
          77:02G-°56                    77:02G-021                     7720-135
                                        77:02G-022                     77;02G-136
                                        77:02G-023                     77:02G-140
                                        77:02G-024                     77:02G-141
          77:020-076                    77:02G-026                     77-02G-144
          77:02G-078                    77:02G-027                     77:02G-145
          77:026-080                    77:02G-028                     77:02G-146
          77:026-087                    77:02G-029                     77:026-147
          77:02G-093                    77:02G-030                     77-02G-148
          77:02G-094                    77:02G-031                     77^026-149
          77:02G-115                    77:02G-034                     77-02G-150
          77:02G-116                    77:02G-035                     77-026-151
          77:02G-124                    77:02G-036                     77-02G-152
          77:02G-126                    77:02G-037                     77-02G-154
          77:02G-128                    77:02G-038                     77-02G-155
          77:02G-137                    77:02G-039                     77:02G-158
          77:02G-138                    77:02G-040                     77-02G-159
          77:026-139                    77:02G-041                     77:02G-173
          77:026-140                    77:02G-043                     77:02G-174
          77:026-142                    77:02G-050                     77:02G-176
          77:026-143                    77:02G-051                     77:02J-010
          77:02G-152                    77:02G-052                     77:02J-024
          77:026-174                    77:02G-053                     77:02J-043
          77:026-175                    77:020-054                     77:02J-044
          77:021-002                    77:026-056                     77:02K-003
          77:021-003                    77:026-057                     77:03P-012
          77:021-008                    77:026-058                     77:03F-022
          77:03F-010                    77:02G-059                     77:03F-031
          77:03F-011                    77:026-060                     77:03F-041
           77:03F-067                    77:026-062                     77:03F-080
          77:04A-023                    77:026-063                     77:03F-081
          77:04A-025                    77:026-066                     77:03F-099
          77:04A-026                    77:026-068                     77:03F-100
           77:05B-001                    77:026-069                     77:03F-103
           77:05B-002                    77:026-070                     77:03F-128
           77:058-004                    77:026-074                     77:03F-132
           77:05B-024                    77:026-076                     77:04A-031
           77:056-039                    77:02G-077                     77:04A-036
           77:056-050                    77:02G-079                     77:04B-014
           77:078-015                    77:02G-080                     77:040-005
           77:070-002                    77:020-081                     77:05A-004
           77:088-008                    77:020-083                     77:058-001
                                        77:020-084                     77:05B-002
 Soil-Water-Plant Relationships         77:026-085                     77:05B-015
           77:020-009                    77:02G-087                     77:05B-032
           77-02D-011                    77:02G-089                     77:058-039
           77:02G-005                    77:02G-090                     77:058-042
           77:026-008                    77:026-091                    77:058-043
           77-02G-096                    77:026-095                    77:058-045
           77-021-002                    77:026-097                     77:058-052
           77:021-010                   77:02G-098                    77-.05C-004
           77:021-011                   77:026-099                    77:05D-004
           77-02K-005                   77:026-100                    77:056-026
           77-02L-001                   77:026-105                    77:056-035
           77-030001                   77:02G-108                    77:05G-036
           77-03F-004                    77:026-109                    77:05G-037
           77-03F-136                   77:02G-110                     77:06A-006
                                        77:02G-111                     77:078-006
                                        77:02G-112                     77:078-008
           77:028-001                   77:02G-113                     "^^nifi
           77:028-002                    77:026-114                     77:073-016
           77:020-001                   77:02G-119                     "-.078-017
           77:020-004                   77:026-120                     ":°^-019
           77:02F-033                   77:020-121                     77:078-037
           77:026-002                   77:026-123
           77:026-003                   77:020-125
           77:020-010                   77:020-130
                                         321

-------
Solar Radiation
          77:020-002
          77:03F-070
          77 :03F-084
          77:03F-106
          77 :03F-107
          77:03F-118

Solid Wastes
          77:050-009
Solubility
Solutes
          77:02K-002
          77:05B-023
          77:02G-010
          77:02G-018
          77:02G-021
          77:020-022
          77:02G-077
          77:02G-124
          77:02G-143
          77:02G-175
          77:056-004
          77:05B-016
Solutions
 Solvents
 Sorghum
 Sorption
          77:026-004
          77:02G-001
          77:05B-002
           77:02G-104
           77:03F-022
           77:03F-040
           77:02G-012
           77:02G-013
           77:02G-022
           77:02G-029
           77:02G-088
           77:02G-098
           77:026-106
           77:04B-014

 South Carolina
           77:02G-054
           77:05B-007

 South Dakota
           77:02G-125
           77:021-016

 Soybeans
           77:02G-046
           77:02G-105
           77:021-001
           77:03F-047
           77:03F-071
           77:03F-087

 Spatial Distribution
           77:02F-049
           77:026-017
           77:026-018
Specific Conductivity
         77:05A-006
         77:05A-007

Specifications
         77:05A-001

Spectrophotometry
         77:02D-002
Stagnant Water
           77:02G-077
                              Spraying
                              Sprays
                                       77:03B-001
                                       77:05B-006
Spring Water
         77-.02F-030
Springs
         77:02F-030
Sprinkler Irrigation
         77:020-010
         77:02F-027
         77:026-037
         77:026-058
         77:026-123
         77:021-016
         77:03F-023
         77:03F-056
         77:03F-059
         77:03F-060
         77:03F-065
         77:03F-076
         77:03F-079
         77:03F-081
         77:03F-083
         77:03F-086
         77:03F-098
         77:03F-103
         77:03F-134
         77:04A-004
         77:04A-007
         77:04A-020
         77:04A-028
         77:04A-031
         77:04A-032
         77:04A-033
         77:04A-036
         77:04A-039
         77:048-015
         77:05B-003
         77:05B-010
         77-.05B-042
         77:056-005
         77:06C-001
         77:060-001
         77:08B-006

Sprinklers
         77:03F-059
         77:03F-134
         77:04A-032
Stability
         77:02F-007
Standards
           77:050-003
           77:05G-018
State Government
           77:06E-013

Statistical Methods
           77 :03F-005
                             Steady Flow
                             Stomata
Storage
                                        77:02F-009
                                        77:02F-010
                                        77:04A-023
           77:021-010
           77:021-011
           77:02F-001
           77:05B-022
Storage Capacity
           77:026-095

Storage Coefficient
           77:02F-006
           77:02F-017
           77 :02F-022
           77:02F-037
           77:048-007

Storm Runoff
           77:02E-004
           77:058-005
                                                           Storm Water
Storms
           77:05B-026
           77:02E-004
           77:026-095
Stratification
           77:02F-015

Stream Erosion
           77 :02J-043

Stream 6ages
           77:07B-005

Streamflow
           77:02E-006
           77:026-025
           77:02J-002
           77:02J-003
           77:038-001

Streamflow Forecasting
           77:02E-006
                             Streams
                                        77:02F-046
                                        77:026-025
                                        322

-------
Streams
    (cont.)
Sulfates
          77-.02J-001
          77:02J-002
          77:02J-013
          77:04A-001
          77:04B-003
          77:048-012
          77:05B-053
          77:050-003
Stress
           77:02F-006
           77:030-001
           77:04B-012

Subsidization
           77:03F-135
Subsoils
           77:02G-173
           77:03F-033
 Subsurface Drainage
           77:02F-032
           77:02F-045
           77:02G-060
           77:040-003

 Subsurface Flow
           77:02F-003
           77:02F-012
           77:02F-033
           77:02G-018

 Subsurface Irrigation
           77:02G-026
           77:02G-037
           77:026-061
           77:02G-141
           77:03F-023
           77:03F-029
           77:03F-127
           77:04A-004
           77:04A-025

 Subsurface Runoff
           77:05A-003

 Subsurface Waters
           77:026-025

 Suburban Areas
           77:058-031

 Sugar Beets
           77:026-157
           77:021-012
           77:03F-019
           77:03F-112
           77:03F-115
           77:056-035
           77:078-014
 Sugarcane
           77:03F-033
           77:03F-064
           77:05B-009
                                        77:02F-016
Sulfur
         77:026-085
         77:02G-099
         77:02G-158
         77:03F-015
         77:03F-016

Sulfuric Acid
         77:026-154
         77:05B-040
Summer
         77:03B-001
Supplemental Irrigation
         77:03F-101

Surface Drainage
         77:026-117
         77:040-005
         77:056-002

Surface Irrigation
         77:021-016
         77:02J-010
         77:02J-037
         77:03F-002
         77:03F-087
         77:03F-097
         77:04A-003
         77:04A-008
         77:04A-017
         77:04A-018
         77:04A-019
         77:04A-020
         77:04A-026
         77:04A-029
         77:04A-030
         77:04A-038
         77:04A-042
         77:058-042
         77:056-010
         77:060-001

Surface Runoff
         77:02G-127
         77:04A-042
         77:040-003
         77:05A-003
         77:05G-002

Surface Tension
         77:088-011

Surface Waters
         77:03F-030
         77:04A-001
         77:046-003
         77:05B-051
                               Surfaces
 Surveys
                                        77:050-005
          77:02F-021
Suspended Particles
           77:058-051

Suspended Sediments
           77:02J-014

Suspended Solids
           77:02J-044
           77:03F-030
           77:04A-028
           77:058-026
          >• 77:050-007
           77:056-010

Swelling Soil
           77:026-176

Systems Analysis
           77:03F-001
           77:03F-002
           77:03F-005
           77:03F-018
           77:03F-088
           77:048-001
           77:048-002
           77:048-003
           77:048-006
           77:04B-008
           77:048-012
           77:050-003
           77:05G-018
Tailwater
           77:02J-010
           77:04A-020
           77:058-037
           77:088-001
Technology
           77:03F-018
           77:03F-027
           77:04A-042
           77:056-013
           77:056-022
           77:06A-001
Temperature
                             Tennessee
           77:020001
           77:020-008
           77:02F-007
           77:02F-034
           77:026-091
           77:026-140
           77:021-018
           77:02L-001
           77:03F-038
           77:03F-040
           77-.03F-054
           77:03F-055
           77:03F-058
           77:058-022
           77:05B-035
           77:058-053
           77:078-032
           77:078-036
                                        77:026-032
                                          323

-------
Tensiometers
          77:02D-004
          77:026-001
          77:02G-008
          77:020-016
          77:02G-030
          77:02G-065
          77-.02G-176
          77:02I-016
          77:03F-010
          77:03F-011
          77:03F-023
          77:03F-042
          77:03F-075
          77:040-001

Terracing
          77:02J-033
          77:08B-009

Tertiary Treatment
          77:050-005
Test Wells
Testing
          77:02F-901
          77:05E-001
          77:08B-004
          77:02G-174
          77:02J-011
 Testing Procedures
          77:02G-174
          77:02J-011
          77:04D-005
          77:05A-010

 Texas
          77:02F-043
          77:026-014
          77:04A-004

 Theis Equation
          77:02F-006
          77:04B-007
 Theoretical Analysis
          77:020-001
          77:02F-006
          77:02F-012
          77:02F-013
          77:02F-014
          77:026-021
          77:026-033
          77:026-125
          77:02J-042
          77:08B-016

 Thermal Conductivity
          77:02G-006

 Thermal Pollution
          77:058-007
          77:05B-022
          77:056-015

 Thermal Power
          77:04A-041
Thermal Properties
         77:02G-005

Thermal Water
         77:02F-007

Thermodynamics
         77:02G-112

Tile Drainage
         77:02F-032
         77:02F-045
         77:04D-003
         77:040-005
         77:05A-003
Tiles
Tillage
                              Time
         77:046-002
         77:03F-128
         77:02B-001
         77:02F-040
         77:07B-030
                              Time Lag
                                       77:048-007
Timing
                                       77:078-030
Tomatoes
         77:026-105
         77:03F-004
Toxicity
         77:076-001

Trace Elements
         77:021-018
         77:05A-006

Tracers
         77:026-018
         77:02G-023
         77:026-024
         77:026-054
         77:056-002
         77:076-001
         77:078-029

Translocation
         77:03F-006

Transmissivity
         77:02F-017
         77:02F-022
         77:02F-037
         77:02F-049
         77:02F-051
         77:048-007
         77:088-004

Transpiration
         77:02D-008
         77:020-010
         77:020-011
         77:021-005
           77:02L-001
           77:038-001

Transpiration Control
           77:020-002
           77:036-001
Transfer
           77:02G-021
           77:02G-077
Trap Efficiency
           77 :05G-031

Travel Time
           77:056-016

Treatment Facilities
           77:05E-002

Trickle Filters
           77:056-035
                                                           Tritium
                             Turbidity
           77:02G-012
           77 :026-018
           77:026-054
           77:058-018
           77:078-013
Turbulence
           77 :04D-007
           77:078-022

Turbulent Flow
           77:078-022
           77:088-001

Turf
           77:026-167
           77:03F-076
           77:03F-081
           77:03F-100
           77:03F-104

Turf Grasses
           77:03F-081
           77:03F-100
Underflow
           77:02F-015
Underground Storage
           77 :05B-022
           77:05E-001

Underseepage
           77:02F-015

Uniform Flow
           77 :08B-012

Uniformity
           77 :03F-028
           77:04A-034

Uniformity Coefficient
           77:03F-028
           77 :08B-012
                                       324

-------
nnsaturated Flow
          77:02F-014
          77:02F-030
          77:02G-003
          77:02G-009
          77:02G-012
          77:02G-013
          77:02G-020
          77:02G-022
          77:02G-024
          77:02G-026
          77:02G-031
          77:02G-033
          77:02G-049
          77:02G-054
          77:02G-060
          77:02G-077
          77:02G-081
          77:02G-094
          77:02G-128
          77-.02G-137
          77:04A-025
          77:05D-004

 Unsteady Flow
           77:02F-009
           77:02F-047
           77:02F-048
           77:02G-125

 Urban Runoff
           77:02G-095
           77:05B-026

 Urbanization
           77:02F-043
           77:02G-095
           77:02J-013
           77:02J-035
           77:03F-026
           77:03F-053
           77:056-031
           77:08C-001
 Ureas
 Use Rate
 Utah
           77:028-001
           77:02G-062
           77:02G-097
           77:02G-160
           77:02G-163
           77:03F-127
           77:05G-039
           77:02G-078
           77:04A-002
           77:058-003
           77:05G-018
           77:056-028

 Vapor Pressure
           77:02G-007

 Variability
           77:02G-017
           77:02G-018
           77:03F-001
           77:056-012
           77:058-020
Vegetables
         77:02G-102

Vegetation
         77:02D-007
         77:02E-005
         77:02G-034
         77:02J-032
         77:02J-039

Vegetation Effects
         77:026-034
         77:02J-007
         77:02J-032
         77:02J-039

Velocity
         77:02F-034
         77:02J-040
         77:04A-028
         77:040-007
         77:07B-022
         77:078-028
         77:086-005

Vertical Migration
         77:026-029
Viscosity
          77:088-011
Voids
          77:020001
Vortices
          77:04D-007

Washington
          77:026-082
          77:03F-012
          77:03F-085
          77:05A-004
          77:05G-011
          77:056-012

Waste Disposal
          77:05D-004
          77:05D-007
          77:05D-008
          77:05E-001

Waste Water
          77:048-014
          77:050-006
          77:06A-002
 Waste Water Disposal
          77:048-011
          77:056-005
          77:058-045
          77:050-004
          77:05E-001
          77:05E-002

 Waste Water Management
          77:03F-007

 Waste Water Pollution
          77:050-009
Waste Water Treatment
           77:05A-009
           77:05A-010
           77:058-026
           77:050-002
           77:050-003
           77:050-005
           77:050-006
           77:050-007
           77:05E-002
           77:06A-003
Wastes
Water
           77:056-045
           77:02K-002
           77:03F-073
           77:03F-074
           77:03F-077
           77:03F-093
           77:056-020
           77:05G-025
           77:06A-002
           77:060-001
             :06E-009
           77;
           77:078-001

Water Allocation (Policy)
           77:03F-018
           77:03F-061
           77:03F-088
           77:048-008
           77:056-003
           77:06A-006
           77:06E-010
           77:.06E-011

Water Analysis
           77:058-006
           77:058-048
           77:078-004

Water Balance
           77:026-010
           77:026-025
           77:04A-039
           77:048-002

Water Chemistry
           77:02F-016
           77:02F-030
           77:02F-049
           77:05A-009
           77:058-031
           77:058-043
           77:056-004
           77:056-015
           77:056-033
           77:078-001
           77 :07B-004
           77:078-005

Water Circulation
           77:020-008

Water Control
           77:04A-039
                                         325

-------
Water Conservation
          77:020-011
          77:02F-027
          77-.03F-009
          77:03F-025
          77:03F-048
          77:03F-066
          77:03F-067
          77:03F-072
          77-.03F-076
          77:03F-077
          77:03F-081
          77:03F-091
          77:03F-093
          77:03F-097
          77:03F-101
          77:03F-103
          77:03F-105
          77:03F-114
          77:03F-115
          77:03F-117
          77:03F-120
          77:03F-121
          77:03F-122
          77:03F-136
          77-.04A-020
          77:04A-021
          77:056-044
          77:050-009
          77:05G-022

 Water Consumption
          77:06A-006

 Water Costs
          77:06E-010

 Water Delivery
          77:03F-005
          77:03F-072
          77:03F-088
          77:03F-089

 Water Demand
          77:03F-002
          77:03F-073
          77:03F-074
          77:04B-001
          77:05G-018
          77:06E-001

 Water Distribution (Policy)
          77:03F-001

 Water Districts
          77:05G-003

 Water Law
          77:05G-022
          77:06A-004
          77:06A-005
          77:06E-004
          77:06E-007
          77:06E-009
          77:06E-011
          77:06E-014

 Water Levels
          77:02F-011
          77:02F-019
         77:02F-
         77:02F-
         77-.02F-
         77:02F-
         77:02G-
         77:026-
         77:04B-
         77:05B-
         77:08B-
020
025
037
046
125
128
007
045
009
Water Level Fluctuations
         77:02F-013
         77:02F-020

Water Loss
         77:020-003

Water Management (Applied)
         77:02G-096
         77:03C-002
         77:03F-005
         77:03F-007
         77:03F-090
         77:03F-135
         77:04A-009
         77:04B-001
         77:05A-004
         77:058-010
         77:05B-046
         77:05G-005
         77:050-023
         77:05G-034
         77:06B-002

Water Measurement
         77:04A-011
         77:04A-039
         77:05A-001
         77:076-024
         77:07B-025
         77:078-027
         77:07B-028
         77:07B-029

Water Policy
         77:03F-135
         77:05G-018

Water Pollution
         77:02E-004
         77:02F-050
         77:02J-022
         77:03F-007
         77-.03F-025
         77:040-001
         77:05A-006
         77:058-001
         77:058-006
         77 :05B-007
         77:058-009
         77:05B-010
         77:058-016
         77:05B-019
         77:05B-020
         77:058-021
         77:05B-027
         77:05B-031
         77:058-034
         77:05B-045
         77:05B-046
           77:058-049
           77:05B-056
           77:05C-005
           77 :05D-006
           77:050-008
           77:050-009
           77:05G-002
           77 :05G-015
           77 :05G-031
           77:05G-038
           77:06A-004
           77:06E-004
           77:06E-008
           77:07B-004
           77:076-005

Water Pollution Control
           77 :02E-004
           77:03F-025
           77 :03F-057
           77:056-021
           77:056-023
           77:06A-004
           77:078-004

Water Pollution Effects
           77:03F-057

Water Pollution Sources
           77:03F-057
           77 :05B-004
           77:058-005
           77:058-006
           77:056-007
           77:056-016
           77:05B-019
           77:056-023
           77:056-024
           77:058-025
           77:058-048
           77:058-049
           77:056-004
           77:056-017

Water Pressure
           77:04B-015

Water Properties
           77:088-001

Water Quality
           77:02E-003
           77:02E-004
           77-.02F-041
           77:02F-049
           77:02F-050
           77:026-010
           77:026-044
           77:02G-078
           77:02G-103
           77:02J-011
           77:02J-018
           77:02J-022
           77:02J-025
           77:02J-026
           77:02J-031
           77:02J-036
           77:02J-045
           77:03F-024
           77:03F-025
                                         326

-------
Water Quality
     (cont.)
           77:03F-051
           77:03F-052
           77:03P-062
           77:03F-066
           77:03F-120
           77:04A-003
           77:04A-009
           77:04A-020
           77:04D-002
           77:05A-004
           77:05A-006
           77:05A-007
           77:05A-008
           77:058-005
           77:05B-006
           77:056-007
           77:05B-009
           77:05B-012
           77:056-017
           77:056-020
           77:056-021
           77:056-027
           77:056-030
           77:056-031
           77:056-034
           77:056-037
           77:056-040
           77:058-041
           77:056-046
           77:05B-048
           77:056-049
           77:058-053
           77:05C-001
           77:050-002
           77:050-003
           77:050-004
           77:050-006
           77:05G-001
           77:05G-004
           77:05G-008
           77:05G-009
           77:05G-011
           77:05G-012
           77:05G-014
           77:05G-016
           77:05G-019
           77:05G-020
           77:05G-025
           77:05G-027
           77:05G-028
           77:05G-030
           77:05G-033
           77:05G-038
           77:06A-001
           77:06A-002
           77:06A-003
           77:06A-006
           77:06E-002
           77:06E-003
           77:06E-004
           77:06E-005
           77:06E-008
           77:076-017
           77:076-018

 Water Quality Control
           77-.03F-007
           77:03F-024
           77:03F-066
         77:04A-001
         77:046-013
         77:05A-008
         77:058-012
         77:056-037
         77:050-003
         77:050-006
         77:05E-001
         77:05G-003
         77 :05G-008
         77:050-010
         77 :05G-014
         77:05G-016
         77:05G-018
         77:05G-022
         77:05G-038
         77:06A-001
         77:06A-003
         77:06E-002
         77:06E-003
         77:06E-004
         77:06E-005
         77:06E-008
         77:076-004
         77:078-018

Water Quality Management
         77:03F-025
         77 :04D-002

Water Quality Standards
         77:06E-009

Water Rates
         77:03F-135

Water Requirements
         77:020-007
         77:021-001
         77:046-003

Water Resources
         77:020-007
         77:02E-006
         77:02G-034
         77:02J-026
         77:03F-072
         77:03F-076
         77:03F-093
         77:04A-020
         77:04A-022
         77:05G-015
         77:05G-016
         77:05G-022
         77:06A-004
         77:06A-005
         77:06E-004
         77:06E-009
         77:06E-010
         77:06E-011

Water Resources Development
         77:048-001
         77:06A-004
         77:06A-005
         77:066-001
         77:066-002

Water Reuse
         77:046-015
         77:050-001
Water Rights
           77:05G-003
           77:06E-005
           77:06E-006
           77:06E-014

Water Retention
           77:026-176

Water Sampling
           77:056-020
           77 :07B-002
           77:078-005

Water Shortage
           77:03F-018
           77:04A-020

Water Storage
           77:02G-065
           77:04A-022

Water Supply
           77:03F-003
           77:03F-005
           77:03F-018
           77:03F-072
           77:03F-093
           77:04A-020
           77:04A-022
           77:048-001
           77:046-003
           77:048-008
           77:058-020
           77:06A-006
           77:06E-011

Water Supply Development
           77:03F-093
Water Table
           77:020-
           77:02F-
           77:02F-
           77:02F-
           77:02F-
           77:02F-
           77:02F-
           77:02F-
           77:02F-
           77:02F-
           77:026-
           77:026-
           77:026-
           77:026-
           77:03F-
           77:03F-
           77:03F-
           77:04A-
           77:048-
           77:048-
           77:048-
           77:058
           77:058
           77:075
           77:078
007
001
004
008
009
Oil
018
019
032
045
025
-048
-125
•126
-019
•037
•064
•025
-002
-004
•005
-045
-056
-002
-021
 Water  Temperature
            77:02F-007
            77:02F-034
            77:036-007
                                         327

-------
"ater Use
          77 :05G-039

Water Users
          77:020-007

Water Utilization
          77:020-007
          77:02G-096
          77:021-016
          77:03F-004
          77:04B-008

Water Vapor
          77:02G-006
          77:026-007

Water Wells
          77:02F-001
          77:02F-019
          77:02F-023
          77:02F-047
          77:02F-048
          77:048-007
          77:048-011
          77:05A-007
          77:058-016
          77:05B-020
          77:056-031

Water Yield
          77:05G-003
          77:088-004

Watershed Management
          77:040-002
          77:058-033
          77:05G-002
          77:078-009

Watersheds
          77:02E-003
          77:02G-093
          77:040-002
          77:05B-033
          77:050-023
          77:06A-005

Watersheds  (Basins)
          77:020-001
          77:02E-004
          77:02E-005
          77:02G-014
          77:026-127
          77:02G-142
          77:02J-013
          77:02J-041
          77:02J-042
          77:02J-046
          77:038-001
          77:03F-024
          77:040-003
          77:04D-006
          77:058-027
          77:05G-026
          77:078-009

Waves  (Water)
          77:088-001
Weather Data
         77:020-001
         77:048-002

Weed Control
         77:03F-087
         77:03F-133
         77:05G-002

Weirs
         77:04A-011
         77:07B-024
         77:07B-025
         77:078-027
         77:088-005
         77:088-011
         77:08B-016

Well Screens
         77:02F-019

Well Spacing
         77:088-004

Wellpoints
         77:078-002
Wells
Wetting
Wheat
         77:02F-017
         77:02F-019
         77:02G-025
         77:04A-001
         77:048-001
         77:048-004
         77:048-006
         77:04B-011
         77:05A-007
         77:058-016
         77:058-018
         77:058-022
         77:058-031
         77:02G-011
         77:02G-035
         77:02G-056
         77:02G-058
         77:02G-074
         77:026-005
         77:02G-156
         77:026-161
         77:02G-162
         77:02G-166
         77:02I-002
         77:03F-032
         77:03F-034
         77:03F-035
         77:03F-036
         77:03F-043
         77:03F-054
 Wildlife
          77:02G-073
          77:03F-119

 Wildlife  Conservation
          77:02G-073
Wildlife Habitats
           77:02G-073
           77:03F-119

Wildlife Management
           77:03F-119

Wind Velocity
           77 :02D-006
           77:02G-007
           77:03F-034
           77:03F-035
           77:09C-001
Windbreaks
Winds
Wisconsin
           77 :03F-034
           77:03F-035
           77:020-006
           77:03F-045
           77:03F-056
           77:048-005
           77:05B-017
                             Withdrawal
Wyoming
Zinc
           77:020-005
           77:02F-011
           77:04B-005
           77:03F-077
           77:02G-086
           77:02G-169
           77:03F-032
           77:05A-006
                                       323

-------
                              TECHNICAL REPORT DATA
                        If lease read Instructions on the reverse before completing*
 EPA-600/2-79-020
4. TITLE AND SUBTITLE
                                                  |3. RECIPIENT'S ACCESSION-NO.
SELECTED IRRIGATION RETURN PLOW  QUALITY
ABSTRACTS 1977,  Seventh Annual Issue
                                                 5. REPORT DATE
                                                   January 1979 issuing date
                                                 6. PERFORMING ORGANIZATION CODE
         V. Skogerboe, Stephen w.  Smith,
Wynn R. Walker,  and Sue Eastman
                                                 8. PERFORMING ORGANIZATION REPORT NO.
9. PERFORMING ORGANIZATION NAME AND ADDRESS
 Department of  Agricultural and  Chemical
   Engineering
 Colorado State University
 Fort Collins,  Colorado  80523
12. SPONSORING AGENCY NAME AND ADDRESS
Robert  S.  Kerr Environmental Research
Office  of  Research  and Development
U.S. Environmental  Protection Agency
Ada, Oklahoma  74820
                                         Lab
                                                  10. PROGRAM ELEMENT NO.
                                                     1BB770
                                                  11. CONTRACT/GRANT NO.

                                                     Grant No. R-800426
13. TYPE OF REPORT AND PERIOD COVERED
   Final
                                                  14. SPONSORING AGENCY CODE
                                                      EPA/600/15
 15. SUPPLEMENTARY NOTES
 16. ABSTRACT
      Research related to  the  quality of irrigation  return flow is being
 conducted  at numerous institutions throughout  the western United States.
 Related work is also underway at other institutions in the United States
 as well as other portions of  the world.  Approximately 100 sources of
 material have been searched for articles pertinent  to the Irrigated
 Crop Production research  and  development program.   These articles de-
 scribe water quality problems resulting from irrigated agriculture,
 potential  technological solutions for controlling return flows, recent
 research pertinent to return  flow investigations, and literature
 associated with institutional constraints in irrigation return flow
 quality control.
      The first annual issue of SELECTED IRRIGATION  RETURN FLOW QUALITY
 ABSTRACTS  covered publications printed in 1968 and  1969, while the sec-
 ond annual issue lists publications printed in 1970 and 1971, the third
 annual issue covers calendar  years 1972 and 1973, and the fourth, fifth,
 and sixth  annual issues cover literature published  in 1974, 1975, and
 1976.  This annual issue  lists publications printed in 1977.
 17.
                            KEY WORDS AND DOCUMENT ANALYSIS
                DESCRIPTORS
                                       ' b.IDENTIFIERS/OPEN ENDED TERMS
 Fertilizers,  Irrigated land,
 Salinity
                                        Irrigation systems,
                                        Irrigation water, Ni-
                                        trates, Phosphates,
                                        Return flow, Water
                                        pollution effects,
                                        Water pollution
                                        sources, Water qualitjy
                                        :,o.n1-rQl
                                                                COSATI Field/Group
              98C
              48E
              68D
 13. DISTRIBUTION STATEMENT

 Release to  Public
                                       1£. SECURITY CLASS (This Report)

                                       Unclassified
            21 NO. OF Pfi
                339
                                                                       5ES
                                        20. SECURITY CLASS (Thispage)
                                        Unclassified
                                                              22. PRICE
 EPA Form 2220-1 (9-73)
                                      329
                                                      U.S. GOVERNMENT PRINTING OFFICE: 1979 — 657-060/1571

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