United States
              Environmental Protection
              Agency
              Robert S. Kerr         EPA-600/2-78-042
              Environmental Research Laboratory March 1978
              Ada OK 74820
              Research and Development
&EPA
Selected Irrigation
Return Flow Quality
Abstracts 1976
Sixth 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-600/2-78-042
                                           March 1978
         SELECTED IRRIGATION RETURN FLOW

             QUALITY ABSTRACTS  1976


               Sixth Annual Issue
                       by

              Gaylord V. Skogerboe
                Stephen W. Smith
                 Wynn R. Walker
            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 TProtection 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.

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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 tech-
niques 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 and 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. Galegar
                              Director
                              Robert S. Kerr Environmental
                                Research Laboratory
                               iii

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                            PREFACE


     The sixth annual issue of SELECTED IRRIGATION 'RETURN |
FLOW QUALITY ABSTRACTS has been compiled from approximately
100 sources of material covering calendar year 1976.  This
compilation has attempted to include technological-and insti-
tutional articles that would be pertinentxto act ion \progr jams
regarding the control of water quality degradation resulting
from irrigated agriculture.             i  '-\              j

     The state-:of-the-art report, "Characteristics* and Pollu-
tion Problems of Irrigation Return Flowi" prepared by the Utah
State University Foundation contains a bibliography of articles
pertinent to Irrigation Return Flow Quality through 1967.  The
first annual issue of SELECTED IRRIGATION RE/TURN 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 1/971, the third annual
issue contained abstracts of articles and reports published
during calendar years 1972 and 197J, and' the^ fourth annual
issue contains abstracts of 1974 publications, and/the fifth
annual issue contains abstracts of 1975 publications.  The
sixth annual issue contains 638 abstracts of documents published
during calendar year 1976.  The abstracts jiave been placed into
sections according to the category and subgroup classifications
used by the Water Resources Scientific Information 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 National Irrigation Re-
turn Flow Research and Development Program.  These articles
describe water quality problems resulting from irrigated agri-
culture, potential technological solutions for controlling
return flows, recent research pertinent to return flow investi-
gations, and literature associated with institutional con-
straints 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 and fifth annual issues cover
literature published in 1974 and 1975.  This annual issue lists
publications printed in 1976.  This report was submitted in
fulfillment of Grant Number R-800426 under the sponsorship of
the Office of Research and Development, Environmental Protection
Agency.

     Key Words:  Fertilizers, Irrigated Land, Irrigation Sys-
tems, Irrigation Water, Nitrates, Phosphates, Return Flow,
Salinity, Water Pollution Effects, Water Pollution Sources,
Water Quality Control.

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                       TABLE OF CONTENTS

Foreword 	  iii
Preface 	   iv
Abstract 	    v
Acknowledgments 	viii


     I   WATER CYCLE - General  (Group 02A)  	    1
    II   WATER CYCLE - Precipitation (Group 02B)  	    5
   III   WATER CYCLE - Snow,  Ice,  and Frost (Group 02C)   ...    8
    IV   WATER CYCLE - Evaporation and Transpiration (Group
        02D)   	    9
     V   WATER CYCLE - Streamflow  and Runoff (Group 02E)  ...   14
    VI   WATER CYCLE - Groundwater (Group 02F)	21
   VII   WATER CYCLE - Water  in  Soils (Group 02G)	34
  VIII   WATER CYCLE - Lakes  (Group 02H)	81
    IX   WATER CYCLE - Water  and Plants (Group 021)	82
     X   WATER CYCLE - Erosion and Sedimentation (Group 02J)  .   86
    XI   WATER CYCLE - Chemical  Processes (Group 02K)   ....   92
   XII   WATER CYCLE - Estuaries (Group 02L)  .	100
  XIII   WATER SUPPLY AUGMENTATION AND CONSERVATION -  Saline
        Water Conversion  (Group 03A)   	101
   XIV   WATER SUPPLY AUGMENTATION AND CONSERVATION -  Water
        Yield Improvement (Group  03B)	102
    XV   WATER SUPPLY AUGMENTATION AND CONSERVATION -  Use of
        Water of  Impaired Quality (Group 03C)	104
   XVI   WATER SUPPLY AUGMENTATION AND CONSERVATION -  Con-
        servation  in Domestic and Municipal Use (Group 03D)  .  Ill
  XVII   WATER SUPPLY AUGMENTATION AND CONSERVATION -  Con-
        servation  in Industrial Use (Group 03E)	112
 XVIII   WATER SUPPLY AUGMENTATION AND CONSERVATION -  Con-
        servation  in Agriculture  (Group 03F)   	113
   XIX   WATER QUANTITY MANAGEMENT AND CONTROL - Control  of
        Water on  the Surface (Group 04A)   	164
    XX   WATER QUANTITY MANAGEMENT AND CONTROL - Groundwater
        Management (Group 04B)   	169
   XXI   WATER QUANTITY MANAGEMENT AND CONTROL - Effects  on
        Water of Man's Nonwater Activities (Group 04C)   . .  .173
  XXII   WATER QUANTITY MANAGEMENT AND CONTROL - Watershed
        Protection (Group 04D)   	  174
 XXIII   WATER QUALITY MANAGEMENT  AND PROTECTION - Identifi-
        cation of  Pollutants (Group 05A)	  .  177
  XXIV   WATER QUALITY MANAGEMENT  AND PROTECTION - Sources
        and Fate of Pollution  (Group 05B)	182
                               VI1

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                    TABLE OF CONTENTS (Cont'd)


    XXV  WATER QUALITY MANAGEMENT AND PROTECTION - Effects
         of Pollution (Group 05C)	205
   XXVI  WATER QUALITY MANAGEMENT AND PROTECTION - Waste
         Treatment Processes (Group 05D)  	 206
  XXVII  WATER QUALITY MANAGEMENT AND PROTECTION - Ultimate
         Disposal of Wastes (Group 05E)	208
 XXVIII  WATER QUALITY MANAGEMENT AND PROTECTION - Water
         Treatment and Distribution (Group 05F) 	 209
   XXIX  WATER QUALITY MANAGEMENT AND PROTECTION - Water
         Quality Control (Group 05G)  	 210
    XXX  WATER RESOURCES PLANNING - Techniques of Planning
         (Group 06A)  	221
   XXXI  WATER RESOURCES PLANNING - Evaluation Process
         (Group 06B)  	226
  XXXII  WATER RESOURCES PLANNING - Cost Allocation, Cost
         Sharing, Pricing/Repayment (Group 06C) 	 228
 XXXIII  WATER RESOURCES PLANNING - Water Demand (Group 06D). 230
  XXXIV  WATER RESOURCES PLANNING - Water Law and Institu-
         tions  (Group 06E)   	231
   XXXV  WATER RESOURCES PLANNING - Nonstructural Alterna-
         tives  (Group 06F)   	233
  XXXVI  RESOURCES DATA - Data Acquisition (Group 07B)  . .  . 234
 XXXVII  RESOURCES DATA - Evaluation,  Processing and Publi-
         cation  (Group 07C)	245
XXXVIII  ENGINEERING WORKS - Hydraulics (Group 08B)  	 247
  XXXIX  ENGINEERING WORKS - Materials  (Group 08G)   	 250
     XL  AUTHOR INDEX	~.	252
    XLI  SUBJECT INDEX	269
                               Vlll

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                         ACKNOWLEGMENTS
     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 accom-
plishing the work reported herein.

     The efforts of Ms. Teresa Skogg, Ms. Sue Eastman, Ms.
Melanie Lowdermilk, Ms. Helen Malmgren, and Ms. Diane English
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 the 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.

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                                      Section  I


                                    WATER CYCLE

                                GENERAL  (GROUP 02A)


76:02A-001
HYDROLOGY OF THE NORTH CASCADES REGION, WASHINGTON:  I. RUNOFF, PRECIPITATION,
AND STORAGE CHARACTERISTICS,
Rasmussen, L.A., and Tangborn, W.V.
Geological Survey, Tacoma, Washington.
Water Resources Research, Vol. 12, No. 2, p 187-202, April 1976.  10 fig, 7 tab,
6 ref.

Descriptors:  *Streamflow forecasting, *Hydrology, Hydrologic data, *Washington,
Equations, Data collections, Evaluation, Methodology, Stream gages. Ice, Snow,
Altitude, Topography, Physical properties.

The time and space distributions of m.easured precipitation and measured runoff and
of spring storage, which is approximately equal to the subsequent summer runoff
of snowmelt and stored groundwater, have been analyzed for the North Cascades
region of Washington.  Neither precipitation nor. runoff shows a consistent rela-
tionship with altitude, chiefly because of precipitation-shadowing effects in
this region of high relief.  The relationship between mean annual precipitation
and altitude is improved considerably when a topographic mean altitude is used
instead of the actual altitude of the weather station.  However, the improvement
is not sufficient to explain a number of discrepancies that still occur.  Some
of the scatter in a precipitation-altitude plot appears to be due to a deficient
precipitation catch by high-altitude gages.  When the dependence of runoff on
precipitation was examined on an annual, seasonal, and monthly basis, only a few
low-altitude gages correlated well with basin runoff.  In several instances,
annual (water year) runoff could be better predicted from winter precipitation
than from annual precipitation.
76:02A-002
HYDROLOGY OF THE NORTH CASCADES REGION, WASHINGTON:  II. A PROPOSED HYDROMETEOR-
OLOGICAL STREAMFLOW PREDICTION METHOD,
Tangborn, W.V., and Rasmussen, L.A.
Geological Survey, Tacoma, Washington.
Water Resources Research Vol. 12, No. 2, p 203-216, April 1976.  4 fig, 8 tab,
19 ref.

Descriptors:  *Streamflow forecasting, *Model studies, *Hydrology, *Meteorology,
*Washington, Methodology, Hydrologic data. Regression analysis, Hydrologic cycle,
Snow, Ice, Rainfall.

On the basis of a linear relationship between winter  (October-April) precipita-
tion and annual runoff from a drainage basin  (Rasmussen and Tangborn, 1976) a
physically reasonable model for predicting summer  (May-September) streamflow from
drainages in the North Cascades region in Washington was developed.  This hydro-
meteorological prediction method relates streamflow for a season beginning on
the day of prediction to the storage  (including snow, ice, soil moisture , and
groundwater) on that day.  The spring storage is inferred from an input-output
relationship based on the principle of conservation of mass:  spring storage
equals winter precipitation to the basin less winter runoff from the basin and
less winter evapotranspiration.  The method of prediction is based on data only
from the years previous to the one for which the prediction is made, and the
system is revised each year as data for the previous year become available.
Standard precipitation and runoff measurements in the North Cascades region are
adequate for constructing a predictive hydrologic model.  This model can be used
to make streamflow predictions that compare favorably with current multiple
regression methods based on mountain snow surveys.  This method has the added
advantages of predicting the space and time distributions of storage and summer
runoff.

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76:02A-003
EVALUATION OF A MONTHLY WATER YIELD MODEL,
Haan, C.T.
Kentucky University, Department of Agricultural Engineering, Lexington, Kentucky.
Transactions of the American Society of Agricultural Engineers, Vol. 19, No.  1,
p 55-60, January-February 1976.  6 fig, 3 tab, 11 ref.

Descriptors:  *Model studies, *Watersheds,  (Basins), *Runoff, Mathematical models,
Precipitation (Atmospheric), Rainfall, Evapotranspiration, Seepage, Soil water,
Streamflow, Hydrographs, Hydrology, *Water yield.

The results of evaluating the performance of a monthly water yield model on  46
watersheds located in Kentucky, North Carolina, South Carolina, Tennessee, and
Virginia were reported.  In general, whenever the watershed being modeled met
the assumptions under which the model was developed, the model performance was
satisfactory.  The assumptions included:  (1) no runoff due to snow,  (2) daily
rainfall evenly distributed over the entire watershed,  (3) short delays between
rainfall and runoff,  (4) stationary response characteristics between rainfall and
runoff, and  (5) record available for parameter estimation is representative  of
watershed behavior.


76:02A-004
DISAGGREGATION MODELS IN HYDROLOGY REVISITED,
Mejia,  J.M,  and Rousselle, ' J.
Ecole Polytechnique de Montreal, Quebec, Canada.
Water Resources Research, Vol. 12, No. 2, p 185-186, April 1976.  5 ref.

Descriptors:   *Synthetic hydrology, *Time series analysis, *Statistical models.
Hydrology,  Analytical techniques, Correlation analysis. Seasonal, Hydrologic
data, Flow,  *Model  studies.

The  synthesis of  hydrologic sequences has been advanced as a useful tool in  water
resource  systems.   Valencia and Schaake developed a methodology for the disaggre-
gation  of  synthesized yearly flow sequences in such a way that the statistics at
different  time resolutions were preserved.  Though the data inside a given year
preserve  the statistics for all levels of aggregation, they are linked with  the
past only  through the statistics at the yearly level.  To overcome this short-
coming, a modification in the methodology was proposed and tested on 24 years of
hydrologic  information for two stations located in the watershed of the North
River.  The  results supported the theory behind the modified model.


76:02A-005
PARAMETER OPTIMIZATION FOR WATERSHED MODELS,
Johnston, P.R., and Pilgrim, D.H.
New South Wales University, School of Civil Engineering, Kensington, Australia.
Water Resources Research, Vol. 12, No. 3, p 477-486, June 1976.  13 fig, 16  ref.

Descriptors:  *Watersheds  (Basins), *Mathematical models, *Parametric hydrology,
*0ptimization. Numerical analysis, Performance, Value, Soil moisture. Drainage,
Systems analysis. Model studies.

A detailed search for the optimum values of the parameters <5f the Boughton model
is described.  The Simplex and Davidon optimization methods were used.  Rapid
initial reductions in the objective function were readily achieved, but the
solutions approached several widely different apparent optima.  Alternate use
of different optimization methods and numerical and asgebraic studies enabled
considerable further progress to be made in the search.  Much information was
obtained on various aspects of parameter optimization.  These include interdepen-
dence and indifference of parameters, the form of the response surface and the
occurrence of discontinuities, the required length of the "warm-up" period for
different types of stores, and the effects of using different types of objective
functions.  As typical stores were analyzed and the only basic assumption involved
was that the data contained errors, the findings should apply to most watershed
models.

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76:02A-006
MULTISTATION, MULTIYEAR SYNTHESIS OF HYDROLOGIC TIME  SERIES BY DISAGGREGATION,
Tao, P.C., and Delleur, J.W.
Purdue University, School of Civil Engineering, Lafayette, Indiana.
Water Resources Research, Vol. 12, No. 6, p 1303-1312, December  1976.   5  fig,
3 tab, 19 ref.  OWRT B-036-IND(15).

Descriptors:  *Rainfall, *0hio River,  *Mississippi River, *Runoff,  *Model  studies.
Mathematical models, Time series analysis, Rainfall-runoff relationships,  Streams,
Graphical analysis, Tributaries, Basins, Correlation  analysis. Watersheds  (Basins),
Hydrology.

A model was presented which is designed for multivariate  (multistation, multi-
year) data syntheses, such as the simulation of several rainfall series over a
region, of tributaries and mainstream  runoff series,  and of rainfall and  concur-
rent runoff series in watersheds.  The model was an application  of  the disaggre-
gation scheme proposed by Valencia and Schaake.  If a time series of higher-level
 (e.g., annual) events for each station has been generated by  some scheme which
preserves the long-term properties, then the disaggregation model can be used
to generate parallel time series of lower-level  (e.g., monthly,  weekly) events
for each corresponding station.  The aggregation of the generated lower-level
sequences can preserve the long-term properties of the original  higher-level
series.  The seasonal variations, the  means, the variances, the  autocovariances,
and the cross-covariances, properties  of the original lower-level time series,
are also conserved.  The lower-level generated series also preserves the  corre-
lations between stations.  The generation of multivariate normal random numbers
makes use of either the Grout factorization or the principal  component analysis,
depending on whether the covariance matrix of the lower-level series is positive
definite or positive semidefinite, respectively.  A technique for modeling non-
normal resudual components was discussed.  The model  was applied to 36 rainfall
runoff, and rainfall-runoff sequences  in the lower Ohio and upper Mississippi
River basins located in Indiana, Illinois, Ohio, and  Kentucky.   The properties
of the generated data series show excellent agreement with those of the histori-
cal observed data series.


 76:02A-007
AN ANALYSIS OF THE EFFECTS OF PARAMETER UNCERTAINTY IN DETERMINISTIC HYDROLOGIC
MODELS,
Wood, E.F.
 International Institute for Applied Systems Analysis, Laxenburg, Austria.
Water Resources Research,, Vol. 12, No. 5, p 925-932,  October  1976.  12  fig,
 1 tab, 6  ref.

 Descriptors:  *Parametric hydrology, *Model studies.  Analytical  techniques,
 *Flood frequency,  *Simulation analysis, *Rainfall-runoff relationships.
 Stochastic processes, Water resources. Water loss, Systems analysis, Equations,
 Risks.

The uncertainty in the output of deterministic models, due to the uncertainty
 in the parameters of the model, is analyzed and compared to current procedures
of using  average values for the  uncertain parameters.  The present analysis
considers an analytical rainfall-runoff flood frequency model where the infil-
tration parameter is considered as a stochastic variable.  The same conceptual
procedure can be used to analyze fixed but uncertain  (unknown) parameters.  The
extension to analyzing parameter uncertainty in large simulation models is
indicated, and the importance of such  analyses is discussed.


76:02A-008
A DISTRIBUTED CONVERGING OVERLAND FLOW MODEL:  II. EFFECT OF  INFILTRATION,
Sherman, B., and Singh, V.P.
New Mexico Institute of Mining and Technology, Socorro, New Mexico.
Water Resources Research, Vol. 12, No. 5, p 897-901,  October  1976.  4 fig,
15 ref, 1 append.

Descriptors:  *Model studies, *Infiltration, *0verland flow,  Distribution  sys-
tems, Hydrologic systems. Mathematical models, Agricultural watersheds, Runoff,
Rainfall, Rainfall-runoff relationships, Hydrology, Equations.

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The overland flow on an infiltrating converging surface was studied.  Mathemati-
cal solutions were developed to study the effect of infiltration on nonlinear
overland flow dynamics.  To develop mathematical solutions, infiltration and
rainfall were represented by simple time and space, invariant functions.  For
complex rainfall and infiltration functions, explicit solutions were not feasible.

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                                     Section II


                                    WATER CYCLE

                             PRECIPITATION  (GROUP 02B)


76:02B-001
EVALUATION OF MEAN SQUARE ERROR INVOLVED IN APPROXIMATING THE AREAL AVERAGE OF A
RAINFALL EVENT BY A DISCRETE SUMMATION,
Bras, R.L., and Rodriguez-Iturbe, I.
Puerto Rico University, Department of Civil Engineering, Mayaquez, Puerto Rico.
Water Resources Research, Vol. 12, No. 2, p 181-184, April 1976.  3 fig, 8 ref.
NWS 4-36738.

Descriptors:  *Rainfall, *Data processing, *Networks, Mathematics, Mathematical
studies, Analytical techniques, Average, Correlation analysis. Precipitation
(Atmospheric), Hydrology.

 Two-dimensional areal processes are commonly evaluated in hydrology through a
discretization in space over the region in which the process is being studied.
Such a discretization involves an error in going from the continuous process to
the discrete one.  This error was studied theoretically, and graphs were present-
ed for its evaluation as function of the size of the area, the functional form
of the correlation equation in space,and the level of discretization or size of
the sample.  Correlation structures of the Bessel type and of the single and
double exponential kind were considered, and their different implications were
discussed.


76:026-002
FINE-SCALE TIME  VARIATIONS  OF  RAINFALL  IN WESTERN OREGON,
Trump,  C.L.,  and Elliott, W.P.
Oregon  State University,  School of  Oceanography, Corvallis,  Oregon.
Water Resources  Research, Vol. 12,  No.  3, p  556,560,  June  1976.   3  fig,  3  tab,
11 ref.

Descriptors:   *Rainfall,  *0regon,  *Illinois,  *Pacific Ocean,  Winter, Linear
programming,  Statistics,  Storms, Mathematical  studies,  Precipitation  (Atmos-
pheric),  Time series  analysis, On-site  investigations,  Variability, Seasonal,
On-site data collections.

One-minute rain  rates were  measured at  three  stations on a  line  running  inland
from the  coast across a low mountain range  during a winter  rainy season.   The
average of three nondimensional variability  statistics were  significantly greater
on the  coast than  inland.   Rain rate distributions showed  that a greater portion
of the  rain fell at higher  rates on the  coast,  and autocorrelation  analysis
showed  that the  rainfall  was  less  persistent  on the coast  than inland.  Oregon
results were compared with  similar  results  concerning Illinois summer convective
rainfall.   Even  though the  Illinois rainfall  was distinctly  more intense and  less
persistent than  the Oregon  rainfall,  the relative variabilities  were surprisingly
similar.   The  logarithm of  the total rain falling at  rates  greater  than a  given
rate was  found to  be  a linear  function  of that rate.   It was found  that the con-
centrations of large  airborne  sea-salt  particles, the cloud-forming nuclei,
peaked  at the  coastline and dropped off  rapidly inland.


76:026-003
RAINFALL  GENERATION:   A NONSTATIONARY TIME-VARYING MULTIDIMENSIONAL MODEL,
Bras, R.L.,  and  Rodriguez-Iturbe,  I.
Puerto  Rico University,  Department  of Civil Engineering, Mayaguez,  Puerto  Rico.
Water Resources  Research, Vol. 12,  No.  3, p  450-456,  June  1976.   3  fig,  2  tab,
24 ref.   NWS Contract 4-36738.

Descriptors:   *Rainfall,  *Mode-l studies,  *Storms, Algorithms, Statistics,  Water
resources,  Precipitation  (Atmospheric),  Rainfall intensity,  Areal,  Hyetographs,
Equations.

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Most existing rainfall models do not concentrate on storm exterior characteris-
tics.  Very few models attempt to generate exterior and interior rainfall char-
acteristics everywhere in space, and those that do have limiting assumptions of
stationary behavior at all levels of storm activity.  Therefore, a nonstationary,
multidimensional model was suggested.  The suggested model, capable of simulating
historical storm exteriors and interiors, assumed the validity of G.I. Taylor's
hypothesis turbulence within the storm interior.  First-order statistics of
storm interiors as well as the correlation in time and space of the storm inter-
iors were preserved.  The model had the advantages of being based on concepts
easy to understand, being multi-dimensional, and being computationally easy to
implement.  The research described would be applicable for any kind of rational
description of the rainfall process.


76:02B-004
NETWORK DESIGN FOR THE ESTIMATION OF AREAL MEAN OF RAINFALL EVENTS,
Bras, R.L., Rodriguez-Iturbe, I.
Massachusetts Institute of Technology, Department of Civil Engineering, Cambridge,
Massachusetts.
Water Resources Research, Vol. 12, No. 6, p 1185-1195, December 1976.  11 fig,
6  tab, 17 ref.  OWRT C-4118  (No. 9021) (14).

Descriptors:  *Design, *Rainfall, *Networks, *Estimating, Optimization, Areal,
Precipitation, Methodology, Sampling, Costs, Stochastic processes, Hydrology,
Equations, Computers, Algorithms, Linear programming, Decision making. Systems
analysis, Mathematical models.

Presented is  an efficient network design procedure which is feasible technically
and economically.  The procedure combines accuracy  (accounting for the process
and instrument uncertainties) and cost considerations in a way flexible enough
to include characteristics and constraints particular to the problem at hand and
to the interested designer.  This work recognizes rainfall as a multidimensional
stochastic process.  By using the knowledge of such processing and of multivari-
ate estimation theory, the procedure  (optimization) for designing an accurate,
least-cost network to obtain the areal mean precipitation of an event over a
fixed area is developed.  Data collection is viewed as an estimation problem.
The methodology allows consideration of the following aspects of network design:
 (1)  spatial uncertainty and correlation of process;  (2) errors in measurement
techniques and their correlation; and  (3) nonhomogenous sampling costs.  Optimal
networks are  given in terms of the number of location of stations together with
the resulting cost and mean square error of rainfall estimation.

76:02B-005
RAINFALL NETWORK DESIGN FOR RUNOFF PREDICTION,
Bras, R.L., and Rodriguez-Iturbe, I.
Massachusetts Institute of Technology, Department of Civil Engineering, Cambridge,
Massachusetts.
Water Resources Research, Vol. 12, No. 6, p 1197-1208, December 1976.  5 fig,
3  tab, 17 ref.

Descriptors:  *Rainfall, *Stochastic processes, *Networks, *Runoff forecasting,
Equations, Runoff, Kinetics, Basins, Rainfall-runoff relationships. Flood fore-
casting, Discharge (Water), Model studies.

A  multivariate, state space stochastic model of rainfall based on a multi-dimen-
sional rainfall generator suggested by Bras and Rodriguez-Iturbe was used,
together with a runoff model, to study the accuracy of discharge prediction as
a  function of the rainfall-sampling network.  The runoff model used was a spatially
distributed simulation based on a finite difference solution of the kinematic
wave equations.  Discharge prediction accuracy at any point in a basin could be
obtained in terms of the mean square error as a function of the number of rain-
sampling devices.   The solution was also a function of the physics of the basin
at hand,  which was incorporated in the rainfall-runoff model.  The mean square
error of discharge estimation was obtained by using linear estimation theory for
dynamic systems.   Particularly, the technique used was the Kalman-Buch filter,
which permitted filtering and extrapolation of noisy and incomplete observations.

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76:02B-006
COMPUTATION OF SOLAR RADIATION FROM SKY COVER,
Thompson, E.S.
National Weather Service, Office of Hydrology, Silver  Spring, Maryland.
Water Resources Research, Vol. 12, No. 5, p  859-865, October  1976.   5  fig,
2 tab, 6 ref, 1 append.

Descriptors:  *Cloud cover,  *Solar radiation,  *Model studies, *Equations,
Mathematical models, Analytical techniques,  Data processing,  Correlation
analysis, Radiation, Energy  transfer. Atmosphere, Meteorology.

A procedure for estimating global solar radiation from sky cover was developed
from the records of 47 stations in the United  States,  with long periods of
radiation observations during the 10-year period, March 1961  through February
1971.  The procedure fits a  general parabolic  equation of the form Y = B +  (1-B)
(1-N to the P power) to the  observations, where Y is the observed global solar
radiation divided by clear sky radiation and N is the  sky cover.  The  variables
B  (the point at which the parabola crosses the y axis)  and P  (a variable para-
meter less than 1.0) were selected to minimize the  sum of the errors  (Y - Y  sub
calc squared), where Y sub calc is the calculated value of Y.  The equation
Y = B +  (1 - B)(1 - N to the 0.61 power) was selected  as most representative,
and the B values in this equation that minimize the sum of the errors  squared
for the individual stations  were shown.  The average absolute error of the 5,306
data points is 1.18 MJ/sq m, or 7% of the average observed radiation.  Because
of the uncertainties of the  observed global  solar radiation and observed sky
cover, the procedure should  be used with caution, particularly for periods of
less than 1 month.


76:02B-007
A MARKOV CHAIN MODEL OF DAILY RAINFALL,
Haan, C.T., Allen, D.M., and Street, J.O.
Kentucky University, Department of Statistics, Lexington, Kentucky 40506
Water Resources Research, Vol. 12, No. 3, p  443-449, June 1976.  10 tab, 8 ref.

Descriptors:  Rainfall, Rainfall disposition,  Model studies,  Simulation analysis,
Precipitation, Rainfall simulators.

The design of many water resources projects  requires knowledge of possible long-
term rainfall patterns.  A stochastic model  based on a first-order Markov chain
was developed to simulate daily rainfall at  a  point.   The model uses historical
rainfall data to estimate the Markov transitional probabilities.  A  separate
matrix is estimated for each month of the year.  In this research, 7 times 7
transitional probability matrices were used.   The model is capable of  simulating
a daily rainfall record of any length, based on the estimated transitional prob-
abilities and frequency distributions of rainfall amounts.  The simulated data
have statistical properties  similar to those of historical data.
 76:02B-008
 UNIFORMITY AMONG WEATHER MODIFICATION  LAWS,
 Davis,  R.J.
 Arizona University,  Department  of  Law,  Tucson, Arizona
 Journal of the  Irrigation  and Drainage Division, Volume  102,  No.  IR3,  p  285-294,
 September 1976. 1  tab,  11  ref.

 Descriptors:  Weather modification,  Cloud  seeding,  Precipitation,  Rainfall.

 Advocates of weather modification  would do well  to  consider  the  advantages of uni-
 formity and of  diversity in  laws relating  to  cloud  seeding.   They should support
 state  legislation  that  promotes uniformity where it is useful and retains diversity
 where  it is rational to do so.  When additional  federal  legislation  is considered,
 the weather modification community should  press  for provisions that  permit reten-
 tion of diversity  among states  where it is advantageous.   Neither Procrustes nor
 Balkanization should prevail.

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                                    Section III


                                    WATER CYCLE

                         SNOW, ICE, AND FROST  (GROUP 02C)


76-.02C-001
AN ANALYSIS OF WATER FLOW IN DRY SNOW,
Colbeck, S.C.
Cold Regions Research and Engineering Laboratory, Hanover, New Hampshire.
Water Resources Research, Vol. 12, No. 3, p 523-527, June 1976.  3 fig,  1  tab,
12 ref.  Army 4A161102B52E.

Descriptors:  *Water supply, *Snow, Water, Advection, Water measurement. Runoff,
Wetting, Temperature, Adsorption, Flow rates, Thermodynamic behavior. Flow,
Grain size, Time lag, Discharge  (Water), Equations.

Equations describing water movement in a dry snow cover were derived, and  exam-
ples of flow through ripe, refrozen, and fresh snows were given.  As the leading
edge of a wave of liquid water advanced into subfreezing snow, the liquid  water
was the principal source of the thermal energy needed to raise the snow to its
melting temperature, because advection of water is generally faster than heat
conduction.  There are three requirements which have to be met before the  wetting
front can propagate past any level.  First, a volume of water per unit volume of
snow has to be frozen onto the snow grains in order to supply enough latent heat
to raise the snow to O.C. Second, a volume of water per unit volume of snow has
to be supplied to fill the residual water requirement, retained as an adsorbed
film, and the water held immobile in the menisci between the snow grains.  Third,
any additional water supplied is mobile, and in principle the wetting front prop-
agates downward at a rate determined by the rate at which water can be supplied
to raise the liquid saturation to the level which corresponds to the value of
water flux just above the wetting front.  These requirements delay and reduce
runoff following rain on dry snow.

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                                   'Section IV


                                   WATER CYCLE

                    EVAPORATION AND TRANSPIRATION  (GROUP 02D)


76:020-001
RELATIVE IMPORTANCE OF SOIL RESISTANCE AND PLANT RESISTANCE IN ROOT WATER
ABSORPTION,
Reicosky, D.C., and Ritchie, J.T.
Agricultural Research Service, Florence, South Carolina, Southern Region.
Soil Science Society of America Journal, Vol. 40, No. 2, p 293-297, March-April
1976.  3 fig,. 1 tab, 32 ref.

Descriptors:  *Soil-water-plant relationships, *Moisture uptake, *Soil water,
*Transpiration, Water loss. Leaves, Corn, Sorghum, Nutrients, Root zone,
Absorption, Sands, Soil types, Clays, Hydraulic conductivity.

The relative importance of  soil and plant resistances and their influence on
leaf water potential and transpiration over a range of measured hydraulic con-
ductivities and matric potentials commonly encountered in Varina sandy loam and
Houston Black Clay was evaluated.  Experiments were conducted on corn grown in
a greenhouse and sorghum grown in  a field.  Soil water potentials, leaf water
potentials, and transpiration rates were determined to evaluate the magnitude of
the combined soil and plant resistances to water flow in the plant system.
Results show that when root density was not unusually low, plant resistance to
water transport was much larger than soil resistance until a higher threshold
soil hydraulic conductivity was reached.  These findings emphasize the need to
consider plant resistance in moisture uptake calculations when using equations
that evaluate water potential gradients along the water flow path.


76:020-002
EVAPOTRANSPIRATION MODEL TESTED FOR SOYBEAN AND SORGHUM,
Kanemasu, E.T., Stone, L.R., and Powers, W.L.
Kansas State University, Department of Agronomy, Manhattan, Kansas.
Agronomy Journal, Vol. 68,  No. 4, p 569-572, July-August 1976.  3 fig, 3 tab,
13 ref.  OWRT A-056-KAN(3).

Descriptors:  *Evapotranspiration, *Sorghum, *Soybeans, *Model studies. Evapor-
ation, Transpiration, Advection, Stomata, Lysiraeters, Temperature, Soil moisture,
Soil water movement. Solar  radiation.

Daily evapotranspiration estimated using a new model applied to sorghum and soy-
beans was within 2 mm of estimates by lysimetric observation.  The model employs
daily inputs of temperature, solar radiation and leaf area index; outputs include
transpiration and evaporation.  The model has potential in scheduling irrigation
on a routine basis.  Seasonal evaporation accounted for 15 to 20% of the evapo-
transpiration which was about 10% greater from soybeans than from sorghum.
Nightime evapotranspiration losses (lysimetric) from soybeans were also 1.8
times greater, indicating lower stomatal resistance.  Leaf area indices indica-
ted a greater surface iresistance for sorghum.


 76:020-003
 AN EVAPORATION EQUATION FOR AN OPEN BODY OF WATER EXPOSED TO THE ATMOSPHERE,
 Goodling, J.S., Sill, B.L., and McCabe, W.J.
 Auburn University, Department of Mechanical Engineering, Alabama.
 Water Resources Bulletin, Vol. 12, No. 4, p 843-853, August 1976.  3 fig,
 10 ref.

 Descriptors:  *Evaporation, *Forced drying, *Wind velocity, Temperature, Air,
 Heat flow, Winds, Mass transfer-, Equations, Air temperature, Numerical analy-
 sis. Mathematical studies.

 Evaporation was identified as having two additive components: natural evapo-
 ration in the absence of wind, and forced evaporation in the presence of wind.

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An evaporation equation was obtained for an open body of water exposed  at  the
atmosphere by conversion of standard, horizontal flat plate heat transfer  rela-
tionships to a mass transfer or evaporation equation, based on an average  air
temperature of 68F.  A comparison of numerical values predicted by this equation
was made with evaporation equations deduced from field measurements, and the
agreement was favorable.  The major differences between this equation and  those
previously developed were;  (1) This equation was derived strictly from  standard
heat transfer expressions, and (2) A dependency of average fetch and air temp-
erature  (through transport properties) was shown.  This approach established
the correct dependencies of the field parameters so that future experimental
measurements would have a sound theoretical basis.


76:02D-004
MODEL FOR PREDICTING EVAPOTRANSPIRATION FROM NATIVE RANGELANDS IN THE NORTHERN
GREAT PLAINS,
Hanson, C.L.
Agricultural Research Service, Northwest Watershed Research Center, Boise,  Idaho.
Transactions of the American Society of Agricultural Engineers, Vol. 19, No.  3,
p 471-481, May-June 1976.  5 fig, 4 tab, 42 ref.

Descriptors:  *Evapotranspiration, *Range grasses, *Vegetation, *Model  studies,
*Great Plains, Water, Energy budget, Soil water, Ranges, Forecasting, Estimating,
Mathematical models, On-site data collections.

A study was made to develop a model for estimating evapotranspiration from North-
ern Great Plains native rangeland, based on potential evapotranspiration,  avail-
able soil water,- leaf area, and direct evaporation from the soil and intercepted
water from plants.  To calibrate and test the model, data from Gillette, Wyoming,
Cottonwood, South  Dakota, and Sidney, Montana, were collected and evaluated.  An
optimization routine was employed to obtain the parameter values of the  model.
To estimate potential evapotranspiration, an approximate energy balance  method
and the- United States Weather Bureau Class A  pan evaporation were used  because
the data required  by them were available or easily computed.  The approximate
energy balance method required daily solar radiation and mean daily air  tempera-
ture.  Based on model verification, the energy balance equation and the  pan evap-
oration  equation could be used to predict daily as well as mean 5-, 7-,  and 10-
day potential evapotranspiration.  Model evaluation also indicated that  it was
better to use the  approximate energy balance method than the Class A pan method
for potential evapotranspiration.  The model predicted daily as well as  mean
evapotranspiration better in loam soil areas than in fine clay soil areas.


76:020-005
CALCULATION OF EVAPORATION RATES DURING THE TRANSITION FROM ENERGY-LIMITING TO
SOIL-LIMITING PHASES USING ALBEDO DATA,
Jackson, R.D., Idso, S.B., and Reginato, R.J.
Agricultural Research Service, Water Conservation Lab, Phoenix, Arizona.
Water Resources Research, Vol. 12, No. 1, p 23-26, February 1976.  5 fig,  20  ref.

Descriptors:  *Evaporation, *Energy transfer, *Soils, Albedo, Soil surfaces,
Potential flow, Lysimeters.

A method was presented that utilizes albedo measurements to partition the  fraction
of the soil surface area exhibiting energy-limiting (potential) evaporation and
the fraction exhibiting soil-limiting evaporation to calculate actual evaporation
rates during the transition phase (energy limiting to soil limiting).   Since
albedo is proportional to the surface water content, the change in albedo  from
day to day was indicative of the fraction of the soil surface that was  dry and
evaporating at the soil-limiting rate.  By denoting the partitioning factor as
beta and by using  a square root of time relation with a coefficient C for  the
soil-limiting phase the evaporation rate EC for a day n after the soil was  wet
was expressed by a formula where Ep was the energy-limiting rate.  The  Priestly-
Taylor formula was used to calculate Ep.  Calculated evaporation rates  were com-
pared with lysimetrically determined rates.  It was concluded that this  method
is reliable for calculating evaporation rates during the transition phase  of  soil
drying.
                                             10

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76:020-006
RELATION OF THE CONSUMPTIVE USE COEFFICIENT TO THE DESCRIPTION  OF VEGETATION,
Culler, R.C., Hanson, R.L., and Jones, J.E.
Geological Survey, Tucson, Arizona.
Water Resources Research, Vol. 12, No. 1, p 40-46, February  1976.   6  fig,  1  tab,
21 ref.

Descriptors:  *Evapotranspiration, *Hydrologic budget,  *Arid climates,  *Arizona,
Flood plains, Correlation analysis,  *Vegetation,  *Consumptive use,  Transpiration,
Analytical techniques, Aerial photography. Remote sensing. Equations.

Evapotranspiration from three reaches of the Gila River flood plain in  Arizona
was measured by the water budget during 1963-1971.   Initially,  the  vegetation
consisted of salt cedar and mesquite with densities  of  canopy ranging from 10 to
100%.  The phreatophytes were removed in stages during  1967-1971.   Perennial
grass seed was applied but did not becore established,  and the  postclearing
vegetation was primarily annuals.  Comparison of  the evapotranspiration data from
various reaches and comparison of data from before and  after clearing required
the application of an empirical equation.  A consumptive use coefficient related
to the description of vegetation was applied to an existing  potential evapotrans-
piration equation based on macroclimatic observations.   Initially,  the  vegetation
description consisted of plant identification and canopy dimensions obtained by
use of black and white aerial photography and ground measurements.  In  1967,
remote sensing in the form of color  infrared aerial  photography became  available
and densitometric interpretation was used to develop a  spectral signature  as the
vegetation descriptor.


76:020-007
RESISTANCE-ENERGY BALANCE METHOD FOR PREDICTING EVAPOTRANSPIRATION:   DETERMINA-
TION OF BOUNDARY LAYER RESISTANCE AND EVALUATION  OF  ERROR EFFECTS,
Verma, S.B., Rosenberg, N.J., Blad,  B.L., and Baradas,  M.W.
Kansas Water Resources Research Institute, Manhattan, Kansas.
Contribution No. 172, December 1975, p.I-1 thru 1-29.

Descriptors:  *Evapotranspiration, *Model studies, Measurement, *Sorghum,  *Millet,
*Advection, Lysimeters, Energy balance, Micrometerology, Microclimates, Heat
transfer, Latent heat, Crop response.

A resistance model of evapotranspiration  (ET) requiring measurement of  boundary
layer resistance, cjrop and air temperature, net radiation and soil heat  flux was
tested over sorghum and millet grown at Mead and Mitchell, Nebraska.  Boundary
layer resistance was estimated from  friction velocity measurements  used in a
stability-corrected aerodynamic method.  Friction velocity was  computed by means
of the Deacon-Swinbank approach.  Evapotranspiration rates estimated  by the
resistance model compared well with  results of lysimetric and energy  balance
measurements, on both a short-period and a daily  basis.  An  error analysis was
made to evaluate the relative influence of errors in measurement of the constitu-
ent input parameters.  This analysis, in conjunction with field measurement,
indicates that the resistance model  evapotranspiration  estimates are  quite sensi-
tive to errors in crop temperature measurement, especially in non-advective
conditions, but are less strongly affected by errors in the.  estimation  of  bound-
ary layer resistance.  Boundary layer resistance  for the sorghum and  millet
crops at varying stages of growth are presented as functions of windspeed.


76:020-008
AN EVALUATION OF A RESISTANCE FORM OF THE ENERGY BALANCE TO  ESTIMATE  EVAPOTRANS-
PIRATION,
Heilman, J.L., and Kanemasu, E.T.
Kansas Water Resources Research Institute, Manhattan, Kansas.
Contribution No. 172, December 1975, p II-l thru  11-22.

Descriptors:  *Evapotranspiration, *Model studies, Boundary  layers, Heat resis-
tance, Latent heat, Heat transfer, Lysimeters, Sorghum,  Soybeans, Crop  response.

An evapotranspiration model that uses the diffusion  resistance  to heat  transport
(rH) in the turbulent boundary layer was evaluated for  soybean  (Glycine max  (L.)
cv. Williams) and sorghum  (Sorghum bicolor (L.) cv.  Pioneer  846).   Model estimates
                                              11

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of latent heat flux (LE) were within 4% and 15% of lysimetric measurements  for
soybeans and sorghum,  respectively.  When using resistance to momentum  (rD),
estimates of LE for soybean were 25% greater, but for sorghum only  10%  greater
than when using resistance to heat transport  (rH).


76:020-009
ESTIMATING GROUNDWATER  EVAPOTRANSPIRATION FROM STREAMFLOW RECORDS,
Daniel, J.F.
Geological Survey, Doraville, Georgia.
Water Resources Research, Vol. 12, No. 3, p 360-364, June 1976.   5  fig, 10  ref.

Descriptors:   *Evapotranspiration, *Groundwater, *Estimating,  *Model studies,
*Streamflow, Flow rates. Aquifer characteristics, Transmissivity, Surface-ground-
water relationships, Hydrologic data,  *Alabama.

An  analytical  solution  for the evapotranspiration rate  from  the  aquifer system
of  a stream basin was applied to a selected basin despite large-scale violations
of  assumptions for the  derivation.  Rates computed represent losses from the
groundwater bodies and  do not include  losses  from soil  moisture.  The computed
rate for  the 23.00 sq km basin, Indian Creek  near Troy, Alabama,  during April
and May 1963 was 0.037  cu m/sec, or about 0.5 cm/month.   Such results should be
reliable  enough to use  in rainfall-runoff models and, in  the absence of more
detailed  data, in areal groundwater models.


76:020-010
EVAPOTRANSPIRATION FROM A SHORT-GRASS  PRAIRIE SUBJECTED TO WATER AND NITROGEN
TREATMENTS,
Lauenroth, W.K., and Sims, P.L.
Colorado  State University, Natural Resource Ecology Lab,  Fort Collins,  Colorado.
Water Resources Research, Vol. 12, No. 3, p 437-442, June 1976.   8  fig,  1 tab,
18  ref.   U.S.  International Biological Program Grassland  Biome.   NSF GB-7824,
GB-13096.

Descriptors:   *Evapotranspiration, *Prairie soils, *Grasses, *Colorado,  *Great
Plains,  Water, Nitrogen, Water balance, Soil-water-plant  relationships,  Energy
budget,  On-site inbestigations, Soil treatment.

Evapotranspiration was  estimated by the water balance method for  three  water and
nitrogen  treatments and a control in a shortgrass prairie in northeastern
Colorado  in 1971, 1972, and 1973.  Nitrogen was applied at a rate of 150 kg/ha
to  maintain soil mineral nitrogen levels greater than or  equal to 50 kg/ha  above
control levels with and without supplemental  water.  The  water treatment main-
tained  soil water potential greater than -0.8 bar during  the growing season and
was applied with and without nitrogen.  Evapotranspiration for the  control  and
unwatered nitrogen treatments was not  different and ranged from  118  to  226  mm
over the  3 years.  The  3-year averages of evapotranspiration for  the water  plus
nitrogen  treatments were 505 and 578 mm, respectively-  Evapotranspiration  for
the water plus nitrogen treatment agreed with potential evapotranspiration
predicted by Penman's model.


76:020-011
A SIMPLE METHOD FOR DETERMINING THE EVAPORATION FROM SHALLOW LAKES  AND  PONDS,
Stewart,  R.B., and Rouse, W.R.
Atmospheric Environment Service, Downsview, Ontario, Canada.
Water Resources Research  , Vol. 12, No. 4, p  623-628, August 1976.   9 fig,  13 ref.

Descriptors:   *Evaporation, *Lakes, *Energy budget, *Radiation,  Ponds,  Equilibrium,
Solar radiation, Air temperature. Models, Equations, On-site investigations,
Mathematical studies.

The summertime evaporation from a shallow lake in the Hudson Bay lowlands was
evaluated by the energy budget  (Bowen  ratio)  and equilibrium model  approaches.
Energy  budget  calculations revealed that, on  the average, 55% of the daily  net
radiation was  utilized  in the evaporative process over  the lake.  Half-hourly
and daily values of evaporation were approximated closely by the Priestly and
Taylor  (1972)  model, where the ratio of actual-to-equilibrium evaporation
                                             12

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equalled 1:26.  A simple model, expressed in terms of  incoming  solar  radiation
and screen height air temperature, was developed  from  the comparison  of  actual-
to-equilibrium evaporation.  Tests of the model at a different  location  indica-
ted that the actual evaporation could be determined within  10%  over periods  of
two weeks.


76:020-012
SENSITIVITY AND MODEL VARIANCE ANALYSIS APPLIED TO SOME EVAPORATION AND  EVAPO-
TRANSPIRATION MODELS,
Coleman, G., and  DeCoursey,  D.G.
Agricultural Research Service, Chickasha, Oklahoma.
Water  Resources Research,  Vol. 12, No. 5, p 873-879, October 1976.  2 fig,
2  tab,  16 ref.

Descriptors:  *Analytical  techniques,  *Mathematical models, Forecasting, *Evap-
oration,  *Evapotranspiration,  Model  studies.

Variable  sensitivity and error variance of  six evaporation  and  evapotranspira-
tion models were  calculated.   Their  sensitivity values were computed  by  approx-
imating the partial derivatives by finite differences.  To  compare the models,
relative  sensitivity was computed as the percent  change in  evaporation per
unit change in  the  input variable.   A second relative  sensitivity was calculated
to compare  the  relative importance of the different input variables.   Error
variance was  analyzed to find  the variance  of  error due to  instrument inaccura'-
cies using  instrument variance estimated from  the manufacturer's statements.
Although  no tests were  conducted  to  determine  the bias or prediction  accuracy
of the model, a technique  was  proposed to show how the instrument error  variance
could  be  added  to the prediction  error variance to determine the overall system
variance.   In model development the  best model will be one  whose sum  of  these
two variances is  a minimum if  there  is no prediction bias.


76:020-013
THE APPLICABILITY OF PLANETARY BOUNDARY LAYER  THEORY TO CALCULATE REGIONAL
EVAPOTRANSPIRATION,
Brutsaert, W.,  and Mawdsley, J.A.
Cornell University, College of Engineering, Ithaca, New York.
Water  Resources Research,  Vol. 12, No. 5, p 853-858, October 1976.  4 fig,
40 ref. NSF  GA-42569.

Descriptors:  *Boundary layers, *Evapotranspiration, *Model studies,
Evaporation,  Transpiration,  Water supply, Theoretical  analysis. Mass  transfer,
Atmosphere, Atmospheric physics,  Drought, Flood forecasting.

A formulation was obtained for the calculation of evapotranspiration  from a
region even when  the water supply to the surface  is limited. The theoretical
model  was based on general similarity principles  for a steady,  uniform boundary
layer  under any conditions of  atmospheric stability-   The resulting mass trans-
fer formulae  have the advantage that the necessary data (rawinsonde)  are often
routinely published or  otherwise  easily available.  In contrast, most methods
used for  the  determination of  evapotranspiration  require either a special
experimental  setup for  rarely  available data or are purely  empirical  and with-
out a  firm physical base.   The proposed method could be applied in hydrologic
simulation  for  drought  studies and for the  determination of antecedent
moisture  conditions in  flood prediction.
                                               13

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                                    Section V


                                   WATER CYCLE

                        STREAMFLOW AND RUNOFF (GROUP 02E)


76:02E-001
DISSOLVED NUTRIENT LOSSES IN STORM RUNOFF FROM FIVE SOUTHERN PINE WATERSHEDS,
Schreiber, J.D., Duffy, P.O., and McClurkin, D.C.
United States Department of Agriculture, Department of Soil Science, Oxford,
Mississippi.
Journal of Environmental Quality, Vol. 5, No. 2, p 201-205, April-June 1976.
2 fig, 6 tab, 21 ref.

Descriptors:  *Runoff, Erosion, Storm runoff. Watersheds (basins), Nutrients,
Sampling, Mississippi, Water quality, Precipitation, Nitrogen, Phosphorus,
Cations.

Storm runoff from five reforested eroded watersheds in northern Mississippi was
analyzed during the 1973 water year to determine the concentrations of soluble
N03-N, NH4-N, PO4-P, Ca, Mg, and K.  Storm runoff was measured with 0.91-m
H-flumes and samples collected with Coshocton wheel sampler.  Analysis of preci-
pitation which totaled 189 cm for the year, 40% above average, revealed that
inputs of NO3-N, NH4-N, P04-P, Ca, Mg, and K for the year were 3.12, 5.73, 0.07,
7.72, 3.03, and 4.98 kg/ha respectively.  Soluble nutrient losses in the storm
runoff on a unit area basis were similar for the five watersheds.  Average losses
in storm runoff of soluble NO3-N, NH4-N, P04-P, Ca, Mg, and K for the year were
0.32, 3.35, 0.04, 6.21, 3.05, and 3.31 kg/ha respectively.  As the annual storm
runoff among the watersheds increased, the N03-N losses also increased linearly.
Data for individual storms indicated that a critical storm runoff value must be
exceeded before the watersheds would exhibit a net loss of each nutrient.


76:02E-002
LOSS OF  2,4-D IN RUNOFF FROM PLOTS RECEIVING SIMULATED RAINFALL AND FROM A SMALL
AGRICULTURAL WATERSHED,
White, A.W. Jr., Asmussen, L.E., Hauser, E.W., and Turnbull, J.W.
United States Department of Agriculture, Agricultural Research Service, Soil
Science  and Chemistry, Byron, Georgia.
Journal  of Environmental Quality  Vol. 5, No. 4, p 487-490, October-December
1976.  2 fig, 2 tab, 24 ref.

Descriptors:  *2,4-D, *Runoff, Agricultural watersheds. Simulated rainfall,
Surface  runoff. Herbicides, Soil profiles, Water pollution, Soils, Leaching.

Movement of 2,4-D was not significant in either surface or subsurface runoff
from a small agricultural watershed on a sandy Coastal Plain soil.  Surface
runoff levels were highest for the first runoff event after herbicide application
(0.56 kg/ha) each year, and initial concentrations were related to the time
lapse between herbicide application and the date of the first runoff event.
Maximum concentrations were 8.1, 6.2, and 2.5 micro g/liter in 1970, 1971, and
1972, respectively.  The corresponding time lapse for the same years was 20, 27,
and 34 days.  Persistence studies showed that the 2,4-D concentration in the
surface 0.5 cm of soil decreased 95%, from 4.7 to 0.23 ppm in only 7 days, and
after 34 days the soil concentration was only 0.01 ppm.  Although subsurface
flow was three times greater than surface runoff during the 3-year period,
2,4-D movement in subsurface water was negligible.  Concentrations were usually
zero or < 1 micro g/liter.  Soil sampled to a 90-cm depth showed no 2,4-D
accumulation or build-up in the soil profile.  Simulated rains  (8.25 cm in 30
min)  applied to subplots on the watershed showed that there is a potential for
greater 2,4-D losses in surface runoff when it rains soon after herbicide
application.  When rains were applied 1,8, and 35 days after herbicede applica-
tion, the average 2,4-D concentrations in runoff were 25.2, 5.8, and 0.7 micro
g/liter, respectively.
                                             14

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76:02E-003
IDENTIFICATION OP LINEAR SYSTEMS RESPONSE BY PARAMETRIC  PROGRAMMING,
Neuman, S.P., and Marsily, G.D.
Arizona University, Department of Hydrology and Water Resources,  Tucson, Arizona.
Water Resources Research, Vol. 12, No.  2, p 253-262, April  1976.   18  fig, 23 ref.

Descriptors:  *Input-output analysis,  *Hydrograph  analysis,  *Runoff forecasting,
Analytical techniques, *Linear programming, Hydrologic systems, Hydrology,
Decision making, Hydrologic data, Precipitation  (Atmospheric).

The impulse response function of a linear hydrologic system is extremely sensi-
tive to minor errors in the input-output data.  Low-amplitude random  errors can
cause severe oscillations in the response function.  Objective methods are not
available for filtering the input-output data to obtain  physically realizable
solutions.  The ultimate goal of response function identification is  to deter-
mine a solution which optimizes the predictive capabilities  of the linear model.
An important criterion of optimality is that the shape of the response function
be physically plausible.  Use of parametric linear programming was proposed to
achieve this objective.  The problem was formulated as a multicriterion decision
process under uncertainty.  Parametric programming served as a means  of genera-
ting a continuous set of alternative solutions to  the identification  problem
together with a bicriterion function representing  these  alternatives.  The shape
of the bicriterion curve was then used  as a guide  by the hydrologist  in select-
ing a particular solution when he is relying on his own  value judgment.


76:02E-004
ISOTOPIC HYDROLOGY IN THE AMAZONIA II.  RELATIVE DISCHARGES  OF THE NEGRO AND
SOLIMOES RIVERS THROUGH 0-18 CONCENTRATIONS,
Matsui, E., Salati, F. , Friedman, I.,  and Brinkman, W.L.F.
Centro de Energia Nuclear na Agriculture, Sao Paulo, Brazil; and  Geological
Survey, Denver, Colorado.
Water Resources Research, Vol. 12, No.  4, p 781-785, August  1976.  4  fig, 2 tab,
15 ref.

Descriptors:  *streamflow, *Flow rates, *0xygen isotopes, *Hydrology, *South
America, *Precipitation  (Atmospheric),  Runoff, Sampling, Water analysis, Ion
transport, Mixing, Tributaries.

Measurements of 0-18,were made on samples of water collected during a 2-year
period on the Amazon below the confluence of the Negro and  Solimoes rivers.
The measurements show that the Amazon  is not completely  mixed 120 km  below the
confluence.  Estimates of relative flows were based on the  0-18 concentrations
and show that the relative contribution of the Negro varied  from  19%  in Febru-
ary 1973 to 68% in July 1973.


 76:02E-005
 MODELING MONTHLY HYDROLOGIC PERSISTENCE,
 Young,  G.K.,  and Jettmar,  R.U.
 Catholic University of  America,  Department of  Civil  Engineering,  Washington,
 D.C.
 Water Resources Research,  Vol.  12,  No. 5,  p 829-835,  October 1976.  5 fig,
 3 tab,  7 ref,  1 append.   OWRT C-3029(No.  3730) (2)  .

 Descriptors:   *Streamflow,  *Persistence,  *Model  studies, Mathematical models,
 Runoff,  Monthly,  Analytical techniques, Statistical  analysis,  Correlation
 analysis,  Streamflow forecasting,  Rivers,  Hydrology-

 This  paper  reported an  empirical study of the  autocorrelations  and Hurst para-
 meter properties for monthly Streamflow for a  set of U.S.  Geological  Survey
 gaging stations in the  eastern United States.   The analysis was  motivated  by  a
 desire to develop operational criteria to select persistence measures and  gener-
 ating models.   The work was part of a larger effort  to evaluate  the trade-offs
 between complex and simple  data generators.  Markov  generators  are simple  in
 comparison  to  the more  complex self-similar methods.   Monthly Streamflow data
 were  found  to  have Hurst statistics similar to annual  data.  Least squares  was
 presented as a possible method to estimate persistence parameters and to  select
                                              15

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models.  Empiric autocorrelations were treated as data in a  fit of  theoretic
covariance functions by minimum squared error.  The Hurst and  least squares
estimators are nearly the same.  The lag 1 correlation is much smaller  than
least squares estimators.  A step-by-step procedure was suggested for implemen-
tation of least squares persistence analysis.


76:02E-006
A DISTRIBUTED CONVERGING OVERLAND FLOW MODEL III. APPLICATION  TO NATURAL
WATERSHEDS,
Singh, V.P.
New Mexico Institute of Mining and Technology, Socorro, New Mexico.
Water Resources Research, Vol. 12, No. 5, p 902-908, October 1976.   8 fig,
1 tab, 13 ref.

Descriptors:  *Overland flow, *Model studies, *Watersheds (Basins),  Runoff,
Agricultural watersheds. Parametric hydrology, Hydrology, Rainfall-runoff rela-
tionships, Mathematical studies. Equations, Flow.

The proposed distributed converging overland flow model was utilized to predict
surface runoff from three natural agricultural watersheds.  The Lax-Wendroff
scheme was used to obtain numerical solutions.  For determination of the kine-
matic wave friction relationship parameter, a simple relation  between the para-
meter and topographic slope was hypothesized.  The simple relation  contains  two
constants which are optimized for each watershed by the Rosenbrock-Palmer opti-
mization algorithm.  The model results were in good agreement with  runoff obser-
vations from these watersheds.  It was shown that if the model structure is
sound, it will suffice to optimize model parameters on hydrograph peak only,
even for prediction of the entire hydrograph.  The model results suggested that
a distributed approach to kinematic wave modeling of watershed surface runoff
is potentially promising and warrants further investigation.


76:02E-007
MORPHOMETRY AND FLOODS IN SMALL DRAINAGE BASINS SUBJECT TO DIVERSE  HYDROGEO-
MORPHIC CONTROLS,
Patton, P.C., and Baker, V.R.
Texas University, Department of Geological Sciences, Austin, Texas.
Water Resources Research, Vol. 12, No. 5, p 941-952, October 1976.  7 fig,
12 tab, 46 ref.  NWS A-35460, NASA NAS 9-13312.

Descriptors:  *Texas, *Watersheds (Basins), *Geomorphology,  *Floods, Drainage
area, Geologic control, Drainage density, Drainage patterns   (Geologic),  Drain-
age systems, Hydrology, Flood peak.

Morphometric parameters, such as drainage density, stream magnitude, and relief
ratio, are practical measures of flood potential in small (less than 100 sq mi)
drainage basins.  Stereoscopic interpretation of low-altitude aerial photographs
provides the most accurate maps of basins for generating these parameters.
Field surveys of a high-density limestone basin in central Texas showed that
1:24,000 scale topographic maps accurately portray the.efficient stream channel
system but fail to reveal numerous small gullies that may form portions of hill-
slope hydrologic systems.  Flood potential in drainage basins can be defined by
a regional index computed as the standard deviations of the logarithms of the
annual maximum streamflows.   High potential basins tend toward greater relief,
greater drainage density,and, thus,  greater ruggedness numbers than low-flash
flood potential watersheds.   For a given number of first-order channels (basin
magnitude),  flash flood regions have greater ruggedness numbers,  indicating
higher drainage densities combined with steep hillslopes and stream channel
gradients.   Transient controls on flood response, such as differences between
local rainstorm intensities, appear  to be the major influences on hydrographs
in areas of  moderate dissection and  relief.  Morphometric parameters for low-
potential flash flood regions (Indiana and the Appalachian Plateau)  are better
estimators of frequent low-magnitude runoff events (mean annual flood),  while
the same parameters correlate better with the maximum flood of record in high-
flood potential regions (central Texas,  southern California, and north central
Utah).
                                             16

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76:02E-008
WATER TEMPERATURE FORECASTING AND ESTIMATION  USING  FOURIER SERIES  AND COMMUNICA-
TION THEORY TECHNIQUES,
Long, L.L.
Tennessee Technological University,  Department  of Mathematics,  Cookeville,
Tennessee.
Water Resources Research, Vol.  12, No.  5,  p 881-887,  October  1976.   11 fig,
2 tab, 9 ref.

Descriptors:  *Water temperature, *Analytical techniques,  *Regression analysis,
*Fourier analysis. Model  studies. Mathematical  models,  Temperature,  Rivers,
Forecasting, Time series  analysis. Statistics,  Statistical methods.  Mathematics.

Fourier series and statistical  communication  theory techniques  were  utilized  in
the estimation of river water temperature  increases caused by external thermal
inputs.  An example estimate, assuming  a constant thermal  input, was demonstra-
ted.  A regression fit of the Fourier series  approximation of temperature was
then used to forecast daily  average  water  temperatures.  Also,  a 60-day pre-
diction of daily average  water  temperature was  made,  with  the aid  of the
Fourier regression fit, by using significant  Fourier  components.


76:02E-009
A DISTRIBUTED CONVERGING  OVERLAND FLOW  MODEL  I.  MATHEMATICAL SOLUTIONS,
Sherman, B., and Singh, V.P.
New Mexico Institute of Mining  and Technology,  Socorro, New Mexico.
Water Resources Research, Vol.  12, No.  5,  p 889-896,  October  1976.   10 fig,
16 ref, 3 append.

Descriptors:  *Model studies, *Mathematical models, *0verland flow,  *Distribu-
tion  systems, Hydrologic  systems, Infiltration,  Agricultural  watersheds,
Watersheds  (Basins), Hydrology.

In models for overland flow  based on kinematic  wave theory, the friction
parameter is assumed to be constant.  This paper reported  a study  of a con-
verging geometry which allows continuous spatial variability  in the  parameter.
Parameter variability results in a completely distributed  approach,  reduces the
need  to use a complex network model  to  sumulate watershed  surface  runoff, and
saves much computational  time and effort.  This paper was  the first  in a series
for a converging geometry with  no infiltration  and  with temporally constant
lateral inflow.  Part 2 discussed the effect of  infiltration on  the runoff pro-
cess, and part 3 discussed application  of  the proposed  model  to natural"agri-
cultural watersheds.


 76:02E-010
 THE  RELATIONSHIP BETWEEN  LIGHT  AND  PHOTOSYNTHETIC  RATE  IN  A RIVER  COMMUNITY AND
 IMPLICATIONS FOR WATER  QUALITY  MODELING,
 Hornberger,  G.M.,  Kelly,  M.G.,  and  Eller,  R.M.
 Virginia  University, Department of  Environmental Sciences, Charlottesville,
 Virginia  22903
 Water Resources Research, Vol.  12,  No.  4,  p  723-730,  August 1976.   7 fig,  1 tab,
 31  ref.

 Descriptors:   Photosynthesis, Aquatic  environment.  Aquatic habitats, Nutrients,
 Inhibition,  Modeling, Model  studies, Water quality.

 Saturation  of  photosynthesis at naturally  occurring high  light  intensities  has
 widely been reported  for  aquatic communities.  Contrary to this, using free water
measurement methods, we  found a relationship  between  light intensity and photo-
 synthesis  in a  small river that was unmistakably linear dn cloudless  days and  on
 days  when points corresponding  to times of highly variable radiation were  dis-
 carded.   The linear relationship obtained  through the year.  Simulations of
 nutrient-limited growth in light-dark  bottles show that nutrient depletion effects
 can explain the cases of  light  saturation  and inhibition  previously  reported  in
 the  literature.   If light saturation and inhibition of  photosynthesis are  due
 even  in part to artificially induced nutrient limitation,  then  the inclusion  of
 nonlinear  light terms  in  water  quality models is inappropriate.
                                              17

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76:02E-011
COMPATIBLE SEDIMENT CONTROL PRACTICES AND TILLAGE SYSTEMS,
Tompkins, F.D., Shelton, C.H., and Temple, J.E.
Tennessee University, Department of Agricultural Engineering, Knoxville,  Tennessee.
Presented at the 1976 Winter Meeting of the American Society of Agricultural
Engineers, December 14-17, 1976, Chicago, Illinois. 16 p, 4 fig,  3 tab,  5 ref.

Descriptors:  Sediments, Sediment control, Flow resistance. Soybeans,  Runoff,
Watersheds, Return flow.

The results of this study indicate that pattern efficiency for a  graded  system  was
about the same as that for the conventional cropping pattern previously  used.   The
angle at which the rows intersect the headland affects the time required for turn-
ing.  Time required for turning increases as the intersection angle  increasingly
deviates from 90 degrees.  Soybean yields obtained after land grading  were some-
what higher than the station average.  This suggests that, for the study area,
soil disturbance due to land grading did not adversely affect yield.   For specific
runoff events occurring in early spring, sediment yield per cm of runoff on the
original ungraded watershed was 85 percent less when the land was planted to wheat
as compared to a fallow condition.  After grading, the wheat-covered land yielded
only 15 percent as much sediment per cm of runoff as that produced by  the original
watershed in wheat.  The sediment yield per cm of runoff for the  graded  watershed
in wheat was only about 2 percent of the yield from the original  fallow  watershed.
 76:02E-012
 A  PHYSICALLY-BASED MODEL TO PREDICT RUNOFF UNDER VARIABLE RAIN INTENSITY,
 Hachum, A.Y. and Alfaro, J.F.
 Utah  State University, Agricultural and Irrigation Engineering Department, Logan,
 Utah.
 Presented at the 1976 Winter Meeting of the American Society of Agricultural
 Engineers, December 14-17, 1976, Chicago, Illinois.  16 p, 1 fig, 2 tab, 31 equ,
 15 ref.

 Descriptors:   Infiltration, Rainfall, Model studies, Simulation analysis, Rain,
 Rainfall intensity. Rainfall simulators, Rainfall-runoff relationships.

 A  review of literature revealed that there are many empirical and physically-based
 models  that have been proposed to analyze infiltration under different rainfall
 conditions.  However, the validity of these models is still unknown due to the
 lack  of experimental data to support them.  A simple and universal physical model
 capable of predicting the ponding time and the rain infiltration in soils is
 presented.  Basically, the model is an extension of the Green and Ampt approach
 to analyze infiltration under variable rainfall patterns.  Model applications for
 a  storm presented elsewhere  (Smith 1972) is included as well as for a hypothetical
 storm with a smooth-variable intensity rainfall pattern.  The prediction of the
 system  behavior, for the first case, closely agrees with that of Smith  (1972).
 76:02E-013
 SEDIMENT YIELD  PREDICTION BASED ON WATERSHED HYDROLOGY,
 Williams, J.R.  and Berndt, H.D.
 United  States Department of Agriculture, Agricultural Research Service, P.O.Box
 748,  Temple, Texas.
 Presented at the  1976 Winter Meeting of the American Society of Agricultural
 Engineers,  December  14-17, 1976, Chicago, Illinois.  14 p, 3 tab, 22 equ,  12 ref.

 Descriptors:  Sediments, Sedimentation, Sediment yield, Model studies, Soil mois-
 ture, Texas, Rainfall, Watersheds, Watershed management. Reservoir design.

 Daily,  monthly, and  annual sediment yield can be predicted fairly accurately by
 attaching a sediment yield model  (MUSLE) to hydrologic models.  A water yield
 model based on  SCS curve numbers and a soil moisture index is used to predict
 daily runoff volumes.  This model must be calibrated on a gaged watershed  and
 can then be used  to  extend short periods of record for the calibrated watershed
 or to predict water  yield for nearby ungaged watersheds.  Peak flow rates  are
                                             18

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predicted for a few storms of various volumes using  HYMO.   To  save  computing  time
these peak flow rates are related to their runoff volumes  so that the  peak  rate
can be determined rapidly for each daily  flow volume.  MUSLE uses the  predicted
daily runoff volume and peak rate to predict daily sediment yield.   The  runoff-
sediment model was tested on 26 watersheds in Texas.  A  comparison  of  measured
and predicted average annual sediment yields gave an R2  or 0.98.  For  eight of
the watersheds monthly measured and predicted sediment had an  average  R2 or 0.66.
Prediction accuracy generally increased with decreasing  watershed area mainly
because point rainfall better represents  actual  rainfall as area decreases.   The
monthly and annual standard deviations of measured and predicted sediment yield
compared closely for these eight watersheds.  Close  comparisons in  standard
deviations indicate that the predictions  are fluctuating properly although  they
may not always agree well with measured amounts.  Also the model predicted  consis-
tently throughout the year—sediment was  not overpredicted for certain seasons
and underpredicted for others.


76:02E-014
NUTRIENT TRANSPORT IN RUNOFF FROM SANDY SOILS,
Campbell, K.L.
Florida University, Department of Agricultural Engineering, Gainsville,  Florida.
Presented at the 1976 Winter Meeting of the American Society of Agricultural
Engineers, December 14-17, 1976, Chicago, Illinois.  20  p,  4 fig, "• tab, 5  ref.

Descriptors:  Watersheds, Water quality,  Water quality management,  Nutrients,
Streamflow, Return flow, Phosphorus, Nitrogen.

Two agricultural watersheds were instrumented to determine water quantity and qual-
ity measurements.  The upper watershed of 437 hectares was primarily in  forest
cover with some pasture.  The lower watershed of 208 hectares  was mostly in inten-
sive agricultural crop production with some pasture.  The  following results are
from data collected between July, 1975 and June, 1976.   1.  Nitrogen and  phosphorus
loads in Streamflow were about proportional to the flow  volume in the  two water-
sheds.  2. The increased flow volume in the lower watershed occurred mostly dur-
ing storm periods and was probably primarily due to  land use and topography dif-
ferences between the two watersheds.  3.  There were  only small average concentra-
tion changes between storm flow periods and low  flow periods in both watersheds.
4. Partial nutrient balances indicate that nutrient  losses in  Streamflow are  a
very small part of the total nutrient flow system in these two watersheds.  Total
nitrogen and phosphorus losses in Streamflow were equivalent to about  5% of the
commercial fertilizer applied in each watershed.  Nutrient loads in Streamflow
also were less than those contributed to  the watersheds  in precipitation during
the period.

76:02E-015
A SALINITY MANAGEMENT STRATEGY FOR STREAM-AQUIFER SYSTEMS,
Helweg, O.J. and Labadie, J.W.
California University, Department of Civil Engineering,  Davis, California
Hydrology Papers, Colorado State University.- No. 84, p 41,  February 1976. 38  fig,
11 tab, 25 ref.

Descriptors: Salt, Salinity, Irrigation,  Irrigation  effects, Groundwater, Model
studies, Simulation Analysis, Optimization, Economics.

One of the pressing problems facing the irrigation intensive areas  of  the world
is the increasing salinity of groundwater.  Currently proposed solutions, such as
agricultural sewering and desalinization, require large  capital investment.   There
appear to be few available alternatives which are both low cost and effective in
controlling aquifer degradation from irrigation  drainage.   The ultimate  result
in many areas may be abandonment of the groundwater  resource and increasing depend-
ence on more expensive imported water.  Presented herein is a  cost-effective  salin-
ity management technique 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 its  vicinity.   In  this  way,  a mechan-
ism is established for accelerating the downstream transport of salts  in the
groundwater at a more rapid rate than would occur naturally tnrough convection
and dispersion, while still satisfying irrigation demands.  The strategy is there-
fore referred to as the Accelerated Salt  Transport (ASTRAN) Method.  Salt accum-
                                              19

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ulation can be controlled in this manner,  while taking care that salt problems
are not simply transferred downstream.
                                              20

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                                    Section VI


                                   WATER CYCLE

                             GROUNDWATER  (GROUP 02F)


76:02F-001
STEADY NON-DARCIAN SEEPAGE THROUGH EMBANKMENTS,
Basak, P.
Punjab Agricultural University, Department of Civil Engineering, Ludhiana, India.
Journal of the Irrigation and Drainage Division, American Society of Civil Engin-
eers, Vol. 102, No. IR4, Proceedings Paper No. 12623, p 435-443, December 1976.
5 fig, 2 tab, 19 ref.

Descriptors:  *Darcys law, *Discharge  (Water), *Free surfaces, *Seepage, *Aquifer
characteristics, Drainage, Water table, Steady flow, Velocity, Analysis, Flow
resistance, Porous media, Reynolds number.

A steady-state analytical solution for the case of unconfined flow through
embankments incorporating Forchheimer's nonlinear velocity-gradient response
was presented.  The effect of nonlinearity on the discharge characteristics
and drawdown distribution in relation to the corresponding Darcian case was
brought out.  Predicted discharge by means of the derived analytical solution
was campared with the available finite difference solution and experimental
results.


76:02F-002
TRANSIENT DRAINAGE WITH NONLINEARITY AND CAPILLARITY,
McWhorter, D.B., Duke, H.R.
Colorado State University, Department of Agricultural Engineering, Fort Collins,
Colorado.
Journal of the Irrigation and Drainage Division, American Society of Civ;.!
Engineers, Vol. 120, No. IR2, Proceedings Paper 12185, p 193-204, June 1976.
4 fig,_ 1 tab, 10 ref, 2 append.

Descriptors:  *Equations, *Drainage, *Drains, *Groundwater movement, *Unsaturated
flow, Water table, Mathematical models, Unsteady flow. Mathematical studies,
Flow.

A nonlinear partial differential equation was developed that includes the effects
of capillary storage and flow above the water table.  An approximate analytic
solution was derived.  The water table response at the midpoint between drains
affected by capillary storage flow above the water table, and the nonlinearity
due to decreasing flow depth was predicted by one relatively simple expression.
Indices to the degree of importance of each of these three effects were defined.
It was concluded that appropriate simplified forms of the solution can be selec-
ted based on the value of the indices.  The method is applicable to a wide range
of conditions including drains placed at any elevation relative to the impervi-
ous substratum and for shallow as well as deep water tables.  The method removes
three important restrictions necessarily imposed on the classical and desirable
features.  The equations are sufficiently simple to permit computations with a
calculator and should be useful on routine design calculations.


76:02F-003
WATER QUALITY AS RELATED TO LINEARS, ROCK CHEMISTRY, AND RAIN WATER CHEMISTRY
IN A RURAL CARBONATE TERRAIN,
Wagner, G.H., Steele, K.F., MacDonald, H.C., and Coughlin, T.L.
Arkansas University, Department of Geology, Fayetteville, Arkansas.
Journal of Environmental Quality, Vol. 5, No. 4, p  444-451, October-December
1976.  4 fig, 5 tab, 12 ref.'

Descriptors:  Water quality, Precipitation, Rain water, Carbonate, Arkansas,
Trace elements. Aquifers, Nitrate, Fertilizers, Spring waters, Wells.
                                               21

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Water from wells, springs, and streams from a 259 sq km area  in  rural,  carbonate
terrain of northwest Arkansas was analyzed for Na, K, Ca, Mg, N03,  P04,  and  trace
metals, Fe, Co, Cr, Ni, Cu, Zn, Cd, Pb, Mn, Li, and Sr.  Bacterial  counts  for
total coliform, fecal coliform, and fecal streptocci, were also  made.   The same
area was mapped for linears by means of aerial photographs and field observa-
tions.  Average rain water chemistry was determined for the year of 1974 when
the various water sources were sampled.  The average chemical composition  of the
St. Joe Limestone Member of the principal aquifer was determined from  22 samples
collected in northwest Arkansas.  Water sources on linears had higher  nitrate and
were more bacteriologically contaminated than those off linears.  Trace metals
pollution was negligible in all waters except for copper and  zinc which were
high due to contamination from household plumbing.  Rain water is the main source
of trace metals for wells, springs, and streams, and limestone is the main source
of Ca and Mg.  Rain water is a prime source of Na and K; however, clay,  shale,
animal waste, and agricultural fertilizer probably also contribute  Na  and  K.


 76:020-004
 ONE-DIMENSIONAL SIMULATION OF AQUIFER SYSTEM COMPACTION NEAR PIXLEY, CALIFORNIA:
 II. STRESS-DEPENDENT PARAMETERS,
 Helm, D.C.
 Geological Survey, Menlo Park, California.
 Water Resources Research, Vol. 12, No. 3, p 375-391,  June 1976.   12 fig,  1  tab,
 22 ref.

 Descriptors:  *Land subsidence, *Model studies, *Aquifer systems,  California,
 Methodology, Aquitards, Hydraulic conductivity, Specific retention, Water stor-
 age, Compaction, Aquifer characteristics, *Simulation analysis,  Computer models.

 A major problem facing hydrologists is how to predict land subsidence.  A key
 to this problem is the development of a reliable method for evaluating aquitard
 parameters.  For assumed values of hydraulic conductivity and storage, vertical
 compaction and expansion of idealized aquitards can be computed (predicted)  by
 an appropriate diffusion equation from known (projected)  water  level changes  in
 adjacent aquifers.  If water levels within the aquifers are observed and  the
 resulting field compaction and expansion are measured, the parameters themselves
 can be evaluated.  Such field measurements are available at a site near Pixley,
 California, for the composite behavior of a series of 21 doubly draining  aqui-
 tards.  By means of a linear partial differential equation with constant  coef-
 ficients within one digital model, average hydraulic conductivity  for idealized
 aquitards was evaluated from the field data to be 3,000 ft/yr,  and average  non-
 recoverable compaction to be stress dependent by assuming for any  single mater-
 ial that the product of hydraulic conductivity and an incremental  effective
 stress is a constant and that the product of nonrecoverable specific storage
 and past maximum effective stress is a constant.


76:02F-005
DETERMINATION OF THE HYDRAULIC CONDUCTIVITY - DRAINABLE POROSITY RATIO FROM
WATER TABLE MEASUREMENTS,
Skaggs, R.W.
North Carolina State University, Department of Biological and Agricultural
Engineering, Raleigh, North Carolina.
Transactions of the American Society of Agricultural Engineers,  Vol  19  No   1
p 73-84, January-February 1976.  13 fig, 25 ref.                               '

Descriptors:  *Hydraulic conductivity, *Porosity, *Specific yield,  *Water  table,
Drawdown, Drainage systems, Groundwater movement. Drains, Dupuit-Forcheimer theory
Equations, Numerical analysis, Computers, Measurement, Graphical analysis,
Heterogeneity,  Anisotropy, Evapotranspiration, Saturated flow.

A method was presented for determining field effective values of the hydraulic
conductivity-drainable porosity (K/f) ratio from water table measurements.   Solu-
tions were presented in graphical form for parallel drains and for  a single  drain
in a semi-infinite medium.  K/f can be determined from these solutions from either
water table drawdown or rise measurements.  Solutions were also  presented  for
simultaneous drainage and vertical losses and may be used to evaluate the  effect
of evapotranspiration or deep seepage on K/f determinations.  Errors due to  un-
                                             22

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accounted vertical losses can be minimized  by making water  table measurements
close to the drain.


76:02F-006
A THREE-DIMENSIONAL GALERKIN FINITE ELEMENT SOLUTION OF FLOW THROUGH MULTIAQUI-
FERS IN SUTTER BASIN, CALIFORNIA,
Gupta, S.K., and Tanji, K.K.
California University, Department of Water  Science and Engineering, Davis,
California.
Water Resources Research, Vol.  12, No.  2, p 155-162, April  1976.   6 fig,  1  tab,
9 ref.   (Project UCAL-WRC-W438).

Descriptors:  *Leakage, *Aquitards, Model studies, *Finite  element analysis,
*California, Aquifers, Groundwater movement, Groundwater basins, Heterogeneity,
Dissolved solids, Connate water, Water  quality,  Digital computers, Equations,
Groundwater, Data processing, Faults  (Geologic), Hydraulic  conductivity.  Water
table, Aquifer systems.

A three-dimensional finite element solution was  obtained for the simultaneous
consideration of multiaquifers  coupled  through semiconfining layers, and  the
model was applied to-a groundwater regime in Sutter Basin,  California.  The use
of a disk/tapeJLn data handling  and computation has reduced  the  core storage and
processor time and increased the capability of a given computer system  to simu-
late basins  larger than are presently possible with the use of  only core  stor-
age.  This economy was achieved by storing  on a  disk/tape all the  intermediate
results which are needed repeatedly.  On the Burroughs B6700 each  steady  state
solution of  123 three-dimensional elements  and 232 nodes was obtained with  20
kbit of memory and 1.49 min of  processor time.


76:02F-007                                                          ^-
THEORY OF MULTIPLE LEAKY AQUIFERS I.  THE INTEGRODIFFERENTIAL AND  DIFFERENTIAL
EQUATIONS FOR SMALL AND LARGE VALUES OF TIME,
Rodarte, L.
Universidad  Nacional Autonoma de Mexico, Institute de Ingenieria,  Mexico  City,
Mexico.
Water Resources Research, Vol.  12, No.  2, p 163-170, April  1976.   2 fig, 16 ref.

Descriptors:  *Leakage, *Aquifers, *Aquicludes,  *Aquitards,  *Mathematical models,
Equations, Theoretical analysis, Mathematical studies. Drawdown, Water  wells,
Pumping, Permeability, Aquifer  systems, Elasticity  (Mechanical), Time,  Artesian
heads.

The general  problem of multiple leaky aquifers was analyzed by  using a  particu-
lar problem  as a starting point.  Differential and integrodifferential  equations
for small and large values of time, valid for the analysis  of multiple  leaky
aquifers, were obtained.  The proposed  equations are appropriate for both the
numerical and the analytic treatment of the regional evolution  of  the piezometric
loads.


76:02F-008
ON THE GENERAL EQUATIONS FOR FLOW IN POROUS MEDIA AND THEIR REDUCTION TO  DARCY'S
LAW,
Gray, W.G.,  and O'Neill, K.
Princeton University, Department of Civil Engineering, Princeton,  New Jersey.
Water Resources Research, Vol.  12, No.  2, p 148-154, April  1976.   1 fig, 15 ref,
append.  NSF ENG75-16072 and NSF-RANN 6064.

Descriptors:  *Groundwater, Equations,  *Darcy's  Law, Mathematics,  *Flow,  Subsur-
face waters, Groundwater movement, Groundwater potential, Pore  water, Energy
equation. Momentum equation, Mathematical studies, *Porous  media,  Mass  transfer,
Convection,  Dispersion.

A technique  of local averaging  was applied  to obtain general equations  which
describe mass and momentum transport in porous media.  The  averaging was performed
without  significantly idealizing either the porous medium or the pertinent  fluid
mechanical relations.  The resulting general flow equation  was  simplified to
                                             23

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treat flow of a Newtonian fluid in a slowly deforming solid matrix  for  two
special cases.  For flow in an isotropic medium where convective and  inertial
terms are important, an equation was developed which is dependent only  on five
medium parameters which could be evaluated by experiment.  Flow in  an anisotropic
medium was also analyzed, and the general equation was reduced to Darcy's law
when the convective and inertial terms were neglected.


76:02F-009
THE EXTENDED BOUSSINESQ PROBLEM,
Collins, M.A.
Southern Methodist University, Institute of Technology, Dallas, Texas.
Water Resources Research, Vol. 12, No. 1, p 54-56, February 1976.   5  fig, 1  ref.

Descriptors:  *Water table, *Drains, *Groundwater movement, Leakage,  Groundwater
recharge, Saline water-freshwater interfaces, Aquifers, Groundwater,  Continuity
equation, Dupuit-Forchheimer theory. Boundary processes, Potentiometric level,
Equations, Islands, Depth.

The original Boussinesq problem of the decline of a groundwater mound between
parallel drains was extended to include vertical leakage and recharge and cases
of freshwater lenses in confined and unconfined saline aquifers.  The solution of
appropriate continuity equations with some imposed restrictions by  variable  sep-
aration resulted in three distinct flow depth configurations, which could be
described analytically-  Transient behavior in two of these cases is  nonlinear
but amenable  to exact solution and can be delineated in a  (2 mu + beta,  sigma +
mu) plane, where beta and sigma are leakage and recharge parameters and mu is a
separation constant.  It was found that similarity solutions, one of  which is
the original  Boussinesq solution, exist for both decreasing and increasing flow
depths.  Active and passive influences of boundary conditions were  distinguished.
Solutions were applied to the evaluation of saline water intrusion  in some coastal
zones of Long Island, New York.


76:02F-010
FLOW INTERFERENCE EFFECTS AT FRACTURE INTERSECTIONS,
Wilson, C.R., and Witherspoon, P.A.
Leeds, Hill,  and Jewett, Incorporated, San Francisco, California.
Water Resources Research, Vol. 12, No. 1, p 102-104, February 1976.   4  fig, 1 ref.

Descriptors:  *Groundwater movement, *Fracture permeability, *Model studies,
Hydraulic models. Flow, Laminar flow, Fractures (Geologic), Cracks, Rocks,
Hydrology, Hydraulics, Laboratory tests, Hydrogeology, Subsurface waters,
Groundwater.

A series of laboratory experiments were conducted to determine the magnitude of
laminar flow  interference effects at fracture intersections.  Circular  conduits
were used in  these experiments to maintain strict dimensional tolerance, and the
intersection head loss, if expressed in terms of equivalent length of straight
conduit, should be the same order of magnitude for a circular pipe as for a
parallel plate fracture model.  The results indicated that interference  effects
at intersections are negligibly small in most fracture systems when flow is  in
the laminar regime.


76:02F-011
DETERMINING AQUIFER TRANSMISSIVITY BY MEANS OF WELL RESPONSE TESTS:  THE UNDER-
DAMPED CASE,
van der Kamp, G.
Department of the Environment, Inland Waters Directorate:  and Department of  the
Environment, Hydrology Research Division, Ottawa,  Ontario, Canada.

Water Resources Research, Vol. 12, No. 1, p 71-77, February 1976.   2  fig, 3  tab,
7 ref.

Descriptors:  *Aquifer testing, *Transmissivity, *Theoretical analysis.  Aquifer
characteristics.  Water levels, Well filters, Equilibrium,  Equations, Water
level fluctuations,  Well casings,  Aquifers, Artesian heads, On-site data collect-
ions.
                                             24

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Well response tests, often  referred  to  as  slug  tests,  provide  a relatively simple
and inexpensive method  for  estimating aquifer transmissivity.   An approximate
theory was developed for  the problem of underdamped well  response where  the
inertia of the water in the well  column results in force-free  oscillation of  the
water level in the well.  This  type  of  response is often encountered  in conjunct-
ion with highly permeable aquifers.  The theory is applicable  for nearly  all  such
cases except those where  the oscillation is  very quickly damped out.   Theoreti-
cal predictions compared  well with empirical results and indicated that the theory
may be used to obtain estimates of aquifer transmissivity.   This theory for the
underdamped case  together with  existing theory  for overdamped  response makes  it
possible to obtain an estimate  of transmissivity from  well response tests for
almost any aquifer.


76:02F-012
TRANSIENT FREE SURFACE  FLOW TO  A  WELL:   AN ANALYSIS OF THEORETICAL SOLUTIONS,
Gambolati, G.
Centro di Ricerca IBM di  Venfezia, Italy.
Water Resources Research, Vol.  12, No.  1,  p  27-39, February 1976.   12 fig,  1  tab,
59 ref.

Descriptors:  *Unsteady flow, *Water table aquifers, *Equations, Storage  coeffi-
cient, Specific yield,  Water wells,  Drawdown, Groundwater,  Stress,  Pressure head,
Theis equation, Dupuit-Forchheimer theory.

Results based on  linearization  and on the  delayed yield concept provide the most
theoretical advancements  to date  for solving the differential  equations of  trans-
ient free surface flow  to a fully penetrating gravity  well.  If the storage coef-
ficient is markedly  less  than the specific yield, vertical flow is predominant
in a cylindrical  zone of  the water table between two regions where flow is  essen-
tially radial and controlled by two  different Theis equations.   The true  physical
alpha  (reciprocal of Boulton's  delay index)  is  found to vary almost linearly  with
the reciprocal of the distance  from  the pumped  well and becomes a constant  at
some distance  (equal to twice the aquifer  thickness if the medium is  isotropic).
An empirical delay index  is also  found  by  equating Boulton's solution and the
linearized average drawdown.  Its expression enables the use of the delayed yield
solution in computing average drawdowns With an accuracy equal to that of the
linearization approach.  The present solutions  assumed small water table  draw-
downs and an infinite aquifer.


76:02F-013
AN INTEGRATED FINITE DIFFERENCE METHOD  FOR ANALYZING FLUID FLOW IN POROUS MEDIA,
Narasimhan, T.N., and Witherspoon, P.A.
California University,  Department of Civil Engineering, Berkeley,  California.
Water Resources,  Research,  Vol. 12,  No. 1, p 57-64, February 1976.  10 fig,
30 ref.

Descriptors:  *Numerical  analysis, *Groundwater movement,  *Porous media,  Heat
transfer, Stability,  Conduction, *Finite element analysis,  Flow, Equations,
Potential flow, Theis equation. Fracture permeability. Mathematical studies,
Computers•

The theoretical basis for the integrated finite difference method (IFDM)  was
presented to describe a powerful  numerical technique for solving problems of
groundwater flow  in  porous  media. The  method combines the advantages of  an
integral formulation with the simplicity of  finite difference  gradients and
is very convenient for  handling multidimensional heterogeneous systems composed
of isotropic materials.  Three  illustrative  problems were  solved to demonstrate
that two- and three-dimensional problems are handled with  equal ease.   Compari-
son of IFDM with  the wellknown  finite element method  (FEM)  indicated  that both
are conceptually  similar  and differ  mainly in the procedure adopted for measur-
ing spatial gradients.  The IFDM  includes  a  simple criterion for local stability
and an efficient  explicit-implicit iterative scheme for marching in the time
domain.  If such  a scheme can be  incorporated in a new version of FEM, it should
be possible to develop  an improved numerical technique that combines  the  inherent
advantages of both methods.
                                             25

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76:02F-014
DYNAMIC RESPONSE OF AQUIFER SYSTEMS TO LOCALIZED RECHARGE,
Cabrera, G., and Marino, M.A.
Chile University, Centro de Recursos Hidraulicos, Santiago, Chile.
Water Resources Research, Vol. 12, No. 1, p 49-63, February 1976.  7 fig,
18 ref.

Descriptors:  *Recharge, *Streams, *Aquifers, *Finite element analysis,  *Computer
programs, Surface-groundwater relationships. Numerical analysis, Hydraulics,
*Flow system, *Model studies, Analytical techniques. Base flow.

The response of stream-unconfined aquifer systems to localized recharge  was
investigated by means of a two-dimensional finite element model.  A variational
approach was used in conjunction with the finite element method to solve the
ground-water flow equation.  Linear approximated triangular elements were used
to calculate the hydraulic head distribution in the flow region.  The Crank-
Nicholson centered scheme of numerical integration was employed to approximate
the time derivative in the flow equation.  A computer program was developed to
calculate the hydraulic head distribution in the flow region.  Solutions provided
by the  finite element model should prove 'useful in the evaluation of quantitative
and qualitative changes in aquifer systems due to natural or artificial  recharge.
In addition, they should pr6ve useful in the study of irrigation and drainage
problems.


6:02F-015
ONE-DIMENSIONAL SIMULATION OF AQUIFER SYSTEM COMPACTION NEAR PIXLEY, CALIFORNIA:
II. STRESS-DEPENDENT PARAMETERS,
Helm,  D.C.
Geological  Survey, Menlo Park, California.
Water  Resources Research, Vol. 12, No. 3, p 375-391, June 1976.  12 fig, 1 tab,
22 ref.

Descriptors:  *Land subsidence, *Model studies, *Aquifer systems, *California,
Methodology, Aquitards, Hydraulic conductivity, Specific retention, Water
storage. Compaction, Aquifer characteristics, *Simulation analysis. Computer
models.

A major problem facing hydrologists is how to predict land subsidence.   A key
to this problem is the development of a reliable method for evaluating aquitard
parameters.  For assumed values of hydraulic conductivity and storage, vertical
compaction  and expansion of idealized aquitards can be computed (predicted) by
an appropriate diffusion equation from known (projected) water level changes in
adjacent aquifers.  If water levels within the aquifers are observed and the
resulting field compaction and expansion are measured, the parameters themselves
can be  evaluated.  Such field measurements are available at a site near  Pixley,
California, for the composite behavior of a series of 21 doubly draining aqui-
tards.  By  means of a linear partial differential equation with constant coeffi-
cients  within one digital model, average hydraulic conductivity for idealized
aquitards was evaluated from the field data to be 3000 ft/yr, and average non-
recoverable specific storage was evaluated to be 0.00023 ft.  A second model
allows  parameters of nonrecoverable compaction to be stress dependent by assum-
ing for any single material that the product of hydraulic conductivity and an
incremental effective stress is a constant and that the product of nonrecoverable
specific storage and past maximum effective stress is a constant.


76:02F-016
ANALYSIS OF AQUIFER-AQUITARD FLOW,
Streltsova, T.D.
Birmingham University, Department of Civil Engineering, Birmingham, England.
Water Resources Research, Vol. 12, No. 3, p 415-422, June 1976.  8 fig,  15 ref.

Descriptors:  *Equations, *Aquifers, *Aquitards, *Groundwater movement,  *Draw-
down,  Water wells,  Water table, Leakage, Flow system, Hydraulic properties,
Graphical analysis, Mathematical studies, Permeability, Storage coefficient,
Specific yield,  Flow.
                                             26

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The general drawdown equation and  its particular  cases were  considered  for  a
partially penetrating well discharging at  a constant  rate  from  an  aquifer which
is overlain by an aquitard containing the  water table.  An identity was estab-
lished between the exact solutions, developed  in  terms of  the rho  = mu(r)/h
parameter, and those based on the  finite difference approximation, developed  in
terms of the r/B parameter.  The relations in  the rho and  the r/B  parameter were
given for a well of complete penetration.  The quasi-steady  drawdown equation
was developed for a well of partial penetration in an aquifer-aquitard  flow
system.  The solution was graphically presented,  and  its use in the distance-
drawdown curve-matching procedure  was described.  Determination of the  aquifer-
aquitard formation constants was discussed.


76:02F-017
A PROPOSED ALGORITHM FOR THE SOLUTION OF THE LARGE-SCALE INVERSE PROBLEM IN
GROUNDWATER,
Chang, S., and Yeh, W.W-G.
California University, Department  o*. Engineering  Systems,  Los Angeles,
California.
Water Resources Research, Vol.  12, No. 3,  p 365-374,  June  1976.  4 fig,  7 tab,
23 ref.   (California Water Resources Center project W290).

Descriptors:  *Algorithms, *Groundwater, Flow, *Mathematical models, Constraints,
Equations, Least squares method. Systems analysis, *Model  studies, *Base flow.

A new algorithm is introduced for  the solution of the problem of parameter
identification associated with  a two-dimensional  unsteady  state groundwater
flow.  The parameters to be identified are functions  of the  space variables.  It
is assumed that some observations  on the dependent variable  of  the governing
equation are available.  The unknown parameters are directly identified from
observations.  An implicit finite  difference scheme is used  to  approximate  the
original partial differential equation.  A least  squares criterion function is
employed.  The identification problem is then  formulated as  a standard  quadratic
programming representation by quasi-linearization.  The formulation is  further
modified by a simple matrix operation which drastically reduced the.dimension of
the constraint set.  The new algorithm is  shown to be very effective in solving
the large-scale inverse problem, and it is easily implemented,  rapidly  conver-
gent, and able to handle any inequality constraints,  a feature  that is  essential
for such a problem.    '


76.-02F-018
HYDRODYNAMICS OF GROUNDWATER FLOW  IN A FRACTURED  FORMATION,
Streltsova, T.D.
Birmingham University, Department  of Civil Engineering, Birmingham, England.
Water Resources, Research, Vol. 12, No. 3, p 405-414, June 1976.   9 fig, 3  tab,
31 ref, 1 append.

Descriptors:  *Groundwater movement, *Hydrodynamics,  *Equations, *Fractures
 (Geologic), Hydraulic properties,  Aquifers, Aquitards, Elasticity  (Mechanical),
Homogeneity, Heterogeneity, Drawdown, Testing, Pumping, Porous  media. Fissures
 (Geologic), Graphical analysis. Mathematical studies, Rock properties.

Hydrodynamical aspects of groundwater flow in  fractured formations and  the  basic
hydraulic properties controlling the flow  were considered.   A brief literature
survey on studying the physical characteristic of the fractured rocks and on
developing an understanding on  the mechanism of fluid flow in fracture  formations
constituted an introductory section.  Basic definitions, relations, and assump-
tions given for subsequent interpretation  of the  flow behavior  in a fissured
rock then followed.  Concepts of fractured, homogeneous, and heterogeneous  water-
bearing formations and their response mechanism to a  pressure change were consi-
dered.  The general differential equations for a  flow in a fractured and in a
heterogeneous formation of uniform anisotropy  were derived.  Two types  of the
flow behavior.- fissure flow and pore flow, were distinguished.  Two drawdown
equations, respectively, for a  flow in a fissure  space, whether void or infilled
with a fine material, and for a flow in a  porous  space to  a  well discharging  at
a constant rate in a fractured aquifer, were given.   A fractured reservoir
response to a pressure change due  to pumping was  illustrated by the field draw-
down and recovery data.  A particular case of  a heterogeneous formation, an
                                              27

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aquifer-aquitard system, was discussed, and the drawdown distribution  in  both
aquifer and aquitard was given when account is taken of their elastic  properties.


76:02F-019
A SLUG TEST FOR DETERMINING HYDRAULIC CONDUCTIVITY OF UNCONFINED AQUIFERS WITH
COMPLETELY OR PARTIALLY PENETRATING WELLS,
Bouwer, H., and Rice, R.C.
Agricultural Research Service, Water Conservation Lab, Phoenix, Arizona.
Water Resources Research, Vol. 12, No. 3, p 423-428, June  1976.  4  fig, 11 ref.

Descriptors:  *Hydraulic conductivity, *Aquifer testing, *Aquifers,  *Water wells,
*Theims equation, Water levels, Resistance networks, Analog models,  Equations,
Transmissivity, Water table aquifers, Water table, Potentiometric level,  Perm-
eability, Equilibrium.

A procedure was presented for calculating the hydraulic conductivity of an aqui-
fer near  a well from the rate of rise of the water level in the well after a
certain volume of water is suddenly removed.  The calculation was based on the
Thiem equation of steady state flow to a well.  The effective radius R sub e
over which the head difference between the equilibrium water table  in  the aqui-
fer and the water level in the well is dissipated was evaluated with a resis-
tance network analog for a wide range of system geometries.  An empirical
equation  relating R sub e to the geometry of the well and  aquifer was  derived.
It was discovered that the technique is applicable to completely or  partially
penetrating wells in unconfined aquifers; it can also be used for confined
aquifers  that receive water from the upper confining layer.  The method's results
were compatible with those obtained by other techniques for overlapping geomet-
 76:02F-020
 PREDICTION  OF MOUND GEOMETRY UNDER RECHARGE BASINS,
 Singh,  R.
 San Jose  State  University, San Jose, California.
 Water  Resources Research, Vol. 12, No. 4, p 775-780, August 1976.  8 fig, 17 ref.
 NSF GK-18526

 Descriptors:  *Groundwater recharge, *Unsteady flow, *Laplaces equation, Recharge,
 Mathematical studies, Water table. Porous media, Dimensional analysis. Analysis,
 Computers,  Groundwater, Graphical analysis, Equations.

 Design  of recharge facilities close to urban centers required determination of
 the transient water table in the vicinity of the recharge site.  This involves
 solution of the Laplace equation subject to appropriate boundary and initial
 conditions  which are nonlinear and extremely complex for a phreatic surface with
 or  without  accretion.  Previous solutions have been obtained either by linear-
 ization of  the  phreatic surface conditions or by utilization of other simplify-
 ing assumptions.  These solutions are usually inapplicable in regions with steep
 hydraulic gradients.  A technique for computing the transient location of the
 water table under finite width longitudinal and circular recharge basins was
 developed.  The technique avoided limiting assumptions and linearization.  The
 computations were carried out on a digital computer.  Results were presented
 graphically and compared with other solutions where appropriate.


 76:02F-021
 ON  THE  SPECIES  TRANSPORT EQUATION FOR FLOW IN POROUS MEDIA,
 Blake,  T.R., and Garg, S.K.
 Systems, Science, and Software, La Jolla, California.
 Water Resources  Research, Vol. 12, No. 4, p 748-750, August 1976.  7 ref.  NSF/
 RANN GI-44212.

 Descriptors:  *Porous media, *Continuity equation, *Theoretical analysis.
 Diffusion,  Mixing, Equations, Analysis, Fluid mechanics. Momentum equation,
 Flow, Convection, Solutes.

A derivation of  the species transport equation for flow through porous -media was
presented.  In  this study, which was based on the snace-averaging formalism
                                             28

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developed by Anderson and Jackson,  the  effects  of  both  flow field  fluctuations
and tortuosity as well as the  influence of  solute  transport at  the fluid-solid
interfacial boundary were examined.


 76:02F-022
 A NUMERICAL STUDY OF CONFINED-UNCONFINED AQUIFERS INCLUDING EFFECTS OF DELAYED
 YIELD AND LEAKAGE,
 Ehlig, C., and Halepaska, J.C.
 Kansas State Geological Survey, Lawrence, Kansas.
 Water Resources Research, Vol. 12, No. 6,  ; 1175-1183, December 1976.  13 fig,
 13 ref.

 Descriptors:  *Groundwater, *Aquifers, *Model studies, Mathematical models,
 Pumping, Drawdown, Confined water. Wells, Water wells. Hydraulic conductivity,
 Water yield, Leakage, Transmissivity,  Permeability, Groundwater movement.

 A numerical model is presented in radial coordinates for a well penetrating a
 homogeneous isotopic aquifer of constant thickness.  The model defined varia-
 tions in the transmissivity and effective storage coefficient as functions of
 the potential.  This allowed an approximation for the problem of a well pumping
 in an initially confined system, which becomes unconfined near the well as the
 potential surface drops below the confining layer of the aquifer  (confined-un-
 confined problem).  The model was used to investigate effects of delayed yield
 and leakage confined-unconfined aquifers.  Drawdown versus time curves were
 presented for a variety of boundary conditions.  Results showed that the condi-
 tions producing an inflection in the drawdown versus curves are not unique and
 illustrates the difficulty in attempting to determine aquifer characteristics
 from pumping test.


 76:02F-023
 A SINGLE-POTENTIAL SOLUTION FOR REGIONAL INTERFACE PROBLEMS IN COASTAL AQUIFERS,
 Strack, O.D.L.
 Minnesota University, Department of Civil and Mineral Engineering, Minneapolis,
 Minnesota.
 Water Resources Research, Vol. 12, No. 6, p 1165-1174, December 1976.  11 fig,
 15 ref.

 Descriptors:  *Saline water intrusion, *Saline water-freshwater interfaces,
 *Aquifers, *Coasts, Groundwater, Groundwater movement. Model studies. Mathemati-
 cal models, Sea water. Equations, Wells, Water wells. Brackish water,- Interfaces,
 Subsurface waters.

 An analytic technique for solving three-dimensional interface problems in coastal
 aquifers was presented.  Restriction was made to cases of steady state flow with
 homogeneous isotopic permeability where the vertical flow rates can be neglected
 in relation to the horizontal ones.  The aquifer was divided into zones defined
 by the type of flow occurring.  These  types of flow may be either confined,
 unconfined, confined interface, or unconfined interface flow, where the inter-
 faces separate freshwater from salt water at rest.  The technique is based upon
 the use of a single potential which is defined throughout all zones of the aqui-
 fer.  The potential is single valued and continuous throughout the multiple-zone
 aquifer, and its application does not  require that the boundaries between the
 zones be known in advance. , The use 6£ the single-valued potantial was illustra-
 ted for an analytical technique, but it may be used with some advantage in
 numerical methods such as finite difference or finite element techniques.  Appli-
 cations discussed involve two interface flow problems in a shallow coastal aqui-
 fer with a fully penetrating well.  The first problem is one of unconfined inter-
 faces flow where the upper boundary is a free water table.  The second is one of
 unconfined interface flow where the upper boundary is horizontal and inpervious.
 Each problem involves two zones.  One  zone is adjacent to the coast and is
 bounded below by an interface between  freshwater and salt water at rest.  The
 other zone is bounded below by an impervious bottom.


 76:02F-024
 MAJOR CARBON 14 ANOMALY IN A REGIONAL  CARBONATE AQUIFER:  POSSIBLE EVIDENCE FOR
 MEGASCALE CHANNELING, SOUTH CENTRAL GREAT BASIN,
                                              29

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Winograd, I.J., and Pearson, F.j. Jr.
Geological Survey, Water Resources Division, Reston, Virginia.
Water Resources Research, Vol. 12, No. 6, p 1125-1143,  December  1976.

Descriptors:   *Geochemistry, *Water qualtiy, *Groundwater,  *Springs,  *Carbonate
rocks, Aquifers, Faults  (Geologic), Nevada, Trace elements.

The carbon 14  content of groundwater at the center of a 16-km-long fault-con-
trolled  spring line at Ash Meadows in south-central Nevada  is  5  times  greater
than that in water from other major springs along the lineament.   The  difference
in carbon 14 stands in marked contrast to the near identity  of all springwaters
in alkalinity, pH, carbon 13, oxygen 18, deuterium, tritium, and  other major and
trace ions.  The possible explanations of this major carbon  14  anomaly  are evalu-
ated by  using  all available chemical and isotopic data  from  basin-wide wells and
upland springs tapping the regional carbonate aquifer discharging at Ash Meadows.
The four most  plausible hypotheses require the presence of  a major longitudinal
heterogeneity  in the distal portion of the groundwater  basin to  explain the
anomaly.  Flow channeling with an amplitude of at least 11 km  is  indicated.   The
simplifying assumption commonly used in simulation of basin-wide  flow  through
fractured or solution-riddled aquifers, namely, that the aquifer  is  "homogenous
in its heterogeneity" is not applicable to the dense fractured- Paleozoic carbon-
ate rocks comprising the Nevada aquifer; heterogeneities in this aquifer do not
cancel each other areally.


76:02F-025
DUPUIT-FORCHHEIMER AND POTENTIAL THEORIES FOR RECHARGE  FROM  BASINS,
Brock, R.R.
California State University, Department of Civil Engineering, Fullerton,
California.
Water Resources Research, Vol. 12, No. 5, p 909-911, October 1976.  5  fig,
9 ref.   OWRT C-3112(3687)(3).

Descriptors:   *Dupuit-Forchheimer theory, *Potential flow, *Groundwater
recharge, *Pit recharge, Artificial recharge. Water table, Equations,  Ground-
water movement, Theoretical analysis, Water level fluctuations. Water  table
aquifers, Groundwater basins, Percolation, Pores, Mathematical models.

Artificial groundwater recharge from strip and square basins to an unconfined
aquifer  was investigated.  The classical Dupuit-Forchheimer  (DF)  theory and  the
most exact potential theory were used to determine the   motion of  the  water
table resulting from recharge.  For each theory, both a  linear and a nonlinear
version  were considered.  Finite difference schemes were employed  to solve  for
the nonlinear  models.  Analytical solutions exist for the linear models.   By
comparing the  results from the various theories and from experimental  results
in a sand model, the range of validity of the theories was determined.   For
sufficiently shallow flows, the DF theories gave results that are  good approx-
imations to the potential theories.   For sufficiently deep flows,  the  poten-
tial theories  must be used, particularly beneath the basin and for small  times.
The velocity field near a strip basin was determined from the nonlinear poten-
tial theory for both a deep and a shallow flow.  Tabular results were  presented
that can be used to determine the rise of the water table for strip and square
basins.


76:02F-026
NUMERICAL PREDICTIONS OF TWO-DIMENSIONAL TRANSIENT GROUNDWATER FLOW BY THE
METHOD OF CHARACTERISTICS,
Wiggert,  D.C.,  and Wylie, E.B.
Michigan State University, Department of Civil Engineering, East Lansing,
Michigan.
Water Resources Research, Vol. 12, No.  5, p 971-977, October 1976.  12  fig,
1 tab,  31 ref.   OWRT A-067-MICH(2).

Descriptors:    *Groundwater movement,  *Model studies, *Mathematical models,
Groundwater,  Aquifers,  Analytical techniques. Finite element analysis,
Numerical analysis.  Base flow. Subsurface waters, Hydrogeology, *Forecasting.
                                             30

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Unsteady flow in a confined or leaky aquifer can be analyzed by replacing the
two-dimensional space domain with a latticework of line elements which inter-
sect at nodal points.  Continuity and momentum principles were applied to each
line element separately, resulting in a system of hyperbolic equations which
can be solved by the method of characteristics.  Upon combination of the con-
tinuity relation and compatibility conditions at each node,  an explicit solu-
tion for the time-variable piezometric heads and seepage velocities was ob-
tained.  An inertial multiplier was introduced in the momentum equation, which
varies inversely with the magnitude of the fluid acceleration.  The time step,
proportional to the multiplier, thus assumes large values, while the method
continues to provide accurate, stable results.  Numerical examples were compared
with analytical solutions, and a nonhomogeneous regional aquifer analysis
agreed favorably with a finite element model.  The numerical scheme provides
ease of programming, reduced computer storage requirements, and reasonable
central processing times.


76:02F-027
HYDROGEOPHYSICAL EQUIVALENCE OP WATER SALINITY, POROSITY AND MATRIX CONDUCTION
IN ARENACEOUS AQUIFERS,
Worthington, P.P.
National Physical Research Laboratory, Geophysics Division, Pretoria, South
Africa.
Ground Water, Vol. 14, No. 4, p 224-232,  July-August 1976.  4 fig, 9 ref.

Descriptors:  *Resistivity, *Salinity, *Porosity, *Sand aquifers, Sands,
Sandstones, Geophysics, Aquifer characteristics, Sodium chloride, Conduction,
Equations, Groundwater, Mapping, Curves,  Heterogeneity, Graphical analysis,
Hydrogeology-

The value of the electrical resistivity method as a quantitative indicator of
groundwater resistivity, porosity, and effective matrix resistivity was examined
through the equivalence of these parameters  as manifested in the surface-
measured resistivity of heterogeneous water-saturated sands.  It was demon-
strated that, where there were unknown variations in porosity, the mapping of
groundwater resistivity was most feasible at lower salinities and where porosity
was relatively  high.  Porosity could be determined most exactly at lower values
and where groundwater salinity was relatively high.  Both of these approaches
became less efficient as matrix conduction increases.  The mapping of effective
matrix resistivity was best effected at lower values where this parameter could
be approximately monitored against moderate variations in both porosity and
groundwater resistivity.  In general, however, where there were unknown and
pronounced variations in any two of these parameters, the geoelectrical deter-
mination of the third could be so ambiguous  that the uncertainty in the
estimated value of this parameter could exceed the total range of values
encountered in  an entire formation.


76:02P-028
EVALUATING GROUND-WATER PATHS USING HYDRAULIC CONDUCTIVITIES,
Naney, J.W., Kent, D.C., and Seely, E.H.
Agricultural Research Service, Chickasha, Oklahoma, Texas-Oklahoma Area.
Ground Water, Vol. 14, No. 4, p 205-213,  July-August 1976. 14 fig, 13 ref.

Descriptors:  *Hydraulic conductivity, *Groundwater, *Oklahoma, *Groundwater
movement, *Hydrogeology, Effluent streams, Flow nets, Mathematical models.
Watersheds  (Basins), Subsurface flow, On-site investigations, Computer programs,
Potentiometric  level. Seepage, Mapping, Cores, Pump testing, Particle size,
Permeameters, Model studies.

A method was presented for selecting groundwater flow paths by comparing
modeled and measured hydraulic conductivity distributions.  A flow chart was
included which  shows the steps followed in selecting the concept of roundwater
flow which best fits measured hydrogeologic conditions.  Both noneffluent and
effluent stream conditions were evaluated using the method.  Residual maps of
hydraulic conductivity were used to show  how modeled hydraulic conductivity may
be as much as 300 times that expected when the wrong concept is used.  Flow
nets of modeled and measured data downstream from a flood-water-retarding
                                               31

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structure were developed using the selected hydrogeologic conditions.  Fitting
hydraulic conductivity data resulted in a distribution of groundwater  flow  paths
which better represent actual flow conditions.  The method provided a  unique
means of calibrating a model in a pilot test area and applying  it to geologically
similar nearby watersheds.  It was also useful for checking paths of subsurface
flow where flow distribution is important as it is in the movement of  chemical
pollutants or nutrients from a source of recharge, such as a watershed impound-
ment, to downstream waters.


76:02F-029
A SIMPLIFIED APPROACH FOR THE ANALYSIS OF UNSTEADY FLOW TO A CAVITY WELL,
Kanwar, R.S., Khepar, S.D., Chauhan, H.S., and Das, G.
Punjab Agricultural University, Department of Soil and Water Engineering, Ludhiana
(India).
Ground Water, Vol. 14, No. 2, p 101-105, March-April 1976.  3 fig, 1 tab, 9 ref.

Descriptors:  *Groundwater,  (Model studies, *Wells, *Aguifer characteristics,
Aquifers, Hydraulic conductivity. Storage coefficient, Unsteady flow,  Drawdown,
Hydraulics.

An analytical solution obtained for unsteady flow to a cavity well has been
simplified for finding the aquifer characteristics.  In the analysis presented,
the relationships become fairly simple for the close approximation of  the unsteady
state  solution.  The simplified solution is of great importance for finding the
values of storage coefficient and hydraulic conductivity.  This solution has
large  important economic implications, since the formation constants of the
aquifer can be found without drilling in the aquifer and installing the screens.
If the values of S and K found from these relations are fairly satisfactory
after  a pumping test, the other more expensive methods which require a fully
penetrating well may not be needed.


76:02F-030
SHAPES OF STEADY STATE PERCHED GROUNDWATER MOUNDS,
Khan,  M.Y., Kirkham, D., and Handy, R.L.
Iowa State University, Department of Agronomy, Ames, Iowa 50011
Water  Resources Research, Vol. 12, No. 3, p 429-436, June 1976. 6 fig, 2 tab,
21 ref.

Descriptors:  Groundwater, Groundwater barriers, Groundwater resources, Aquifers,
Groundwater recharge, Flow n-^ts.

A potential theory flow solution for the potential function, stream function, and
shape  of the water table is given for a class of steady state two- and three-dimen-
sional perched groundwater mounds formed under a long rectangular recharge basin
or under a circular recharge basin.  The solutions are done by a Gram-Schmidt
method and a simple iteration scheme.  The mounds are formed in a stratum of
conductivity kl overlying a perching stratum of much lower conductivity k2.  Capil-
lary fringe effects are neglected.  The recharge rate is R.  Potential theory
mound  heights are compared with those given by the Dupuit-Forchheimer  (DF) theory.
For the cases computed, the DF theory gives apex heights of mounds correct to
better than 7% for two-dimensional mounds.  For three-dimensional mounds the DF
theory gives in one case a mound height that is 69% too low and in another case
a mound height that is 28% too low.  Profiles of the computed mounds are graphed,
and examples of use of the graphs in applications are given.  Sample flow nets
are presented.


76:02F-031
DRAINAGE PRACTICE IN IMPERIAL VALLEY, CALIFORNIA,
Hermsmeier,  L.F.
Imperial Valley Conservation Research Center, Department of Agricultural Engineer-
ing,  Brawley, California.
Presented at the 1976 Winter Meeting of the American Society of Agricultural
Engineers,  December 14-17, 1976, Chicago, Illinois.  20 p, 7 tab, 13 ref.

Descriptors:   California,  Drainage, Drainage practices, Salinity, Return flow,
Crop production, Irrigation water. Seepage.
                                              32

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Some of the unique equipment and procedures developed  during  the  past  50  years
that have provided both low cost and effective  drainage  in  the  Imperial Valley
is described.  In this valley, as  in most  irrigated  areas,  land drainage  is essen-
tial to provide the salinity and water  table  control necessary  for good crop  pro-
duction.  At present and in the future,  increasing salinity and limited quantity
of irrigation water, restrictions  on quantity and the  amount  of contaminants  in
outflow and seepage water, and the need to provide improved growing conditions
are presenting new challenges for  drainage design and  construction.  These chal-
lenges and possible solutions are  discussed.


76:02F-032
WATER-TABLE MANAGEMENT,
Wenberg, R.D.
United States Soil Conservation Service, South  Technical Service  Center,  Fort
Worth, Texas.
Presented at the 1976 Winter Meeting of the American Society  of Agricultural
Engineers, December 14-17, 1976, Chicago,  Illinois.  7 p, 4 fig,  14 ref.

Descriptors:  Drainage, Irrigation, Humid  areas. Subsurface drainage,  Subsurface
irrigation. Water table.

Water-table management as presented here is a combination of  drainage  and irriga-
tion for the humid section of the  United States.  Subsurface  drainage  is  used to
lower the water table in coarse-textured soils  and yields are improved by sub-
surface irrigation.


76:02F-033
UNSTEADY FLOW TO A NONPENETRATING  ARTESIAN WELL,
Abdul Khader, M.H., and Ramadurgaiah, D.
Singapore University, Department of Civil  Engineering, Singapore-10, Singapore.
Groundwater, Vol. 14, No. 4, p 200-204,  July-August  1976. 5 fig,  2 tab, 9 ref.

Descriptors:  Artesian wells, Groundwater, Aquifers, Artesian aquifers.

Exact solution to the problem of unsteady  drawdown in  a  leaky artesian aquifer due
to a constant discharge nonpenetrating  well is  presented.   Finiteness  of  the well
radius  and aquifer anisotropy are  considered  in formulating the problem.  Solution
is derived on the assumption that  the flux entering  the  pumped  well is uniformly
distributed  over the plane circular bottom of the well.  The  aquifer is considered
to be finite in thickness, but of  infinite lateral extent.  The flow of ground
water is assumed to be governed by Jacob's model of  linear  leakage.  Laplace trans-
fromation technique is employed in the  theoretical development.   The drawdown
function is  numerically integrated in terms of  dimensionless  parameters of the
flow system  and the results are depicted in graphs.


76:02F-034
GROUNDWATER  OF VOYVODINA,  ITS QUALITY AND  APPLICABILITY  FOR IRRIGATION,
Zivkovik, B.
Faculty of Agriculture, Institut  za Poljoprivredna  Istrazivanja,  Novi  Sad, Yugo-
slavia.
Proceedings  of the  International  Salinity  Conference,  Texas Tech  University,
Lubbock, Texas, August  16-20, 1976, p  350-357.  1  fig,  1  tab,  9  ref.

Descriptors:  Groundwater, Water  quality,  Dissolved  solids. Irrigation water.
Saline  soil, Salinity,  Groundwater management.

On the  basis of the results achieved  in groundwater  investigations and their
applicability in Voyvodina the  following conclusions can be made: (1)  Groundwater
in Voyvodina is mostly  of  poor  quality, has a relatively high content  of  dissolved
salts,  and  should not be used for  irrigation; (2)  Underground water in the water-
sheds of the Danube, Tisza and  Sava can be used for  irrigation  due to  their good
quality;  (3) In order to prevent  further soil salinization  it is  necessary to
lower the groundwater level to  a  harmless  depth which, due  to the natural condi-
tions in Voyvodina, is  200-250  cm; and  (4) It is important  to provide  expert
control both over the usage of  the groundwater  for  irrigation and the  control
of soil salinization.
                                              33

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                                    Section  VII


                                    WATER CYCLE

                           WATER  IN SOILS (GROUP  02G)


 76:02G-001
 COUPLING  PHENOMENA IN  SATURATED HOMO-IONIC  MONTMORILLONITE:  I.  EXPERIMENTAL,
 Elrick, D.E.,  Smiles,  D.E.,  Baumgartner,  N.,  and  Groenevelt,  H.
 Guelph University,  Department  of  Land Resource  Science,  Ontario,  Canada.
 Soil  Science Society of America Journal,  Vol. 40,  No.  4,  p  490-491,  July-August
 1976.  3  fig,  2  ref.

 Descriptors:   *Clays,  *Montmorillonite,  *Soil physical properties,  *Soil  water
 movement, Pressure, Salts, Sodium chloride. Electrical properties,  Electrochem-
 istry, Membranes,  Laboratory tests,  Soil  water, Groundwater,  Soil science.

 A series  of experiments was  performed to  observe  the effects  of salt concentra-
 tion  differences across a .thin layer of  homo-ionic montmorillonite.   The  water
 pressure  difference, concentration difference,  and voltage difference measured
 with  electrodes  reversible to  the anion were  observed  as  functions  of time.   A
 qualitative explanation of the observations was proposed.


 76:02G-002
 PERCOLATION OF SURFACE-APPLIED WATER IN THE FIELD,
 Quisenberry, V.L.,  and Phillips,  R.E.
 Kentucky  Agricultural  Experimental Station, Lexington, Kentucky.
 Soil  Science Society of America Journal,  Vol. 40, No.  4,  p 484-489,  July-August
 1976.  10 fig, 10  ref.

 Descriptors:   *Percolation,  *Soil water movement, *Soils, *Irrigation, Chlorides,
 Tracers,  Unsaturated flow, Groundwater movement,  Infiltration, Percolating water,
 Porosity, Soil moisture, Soil  water, Topsoil, Loam, Clay  loam, Rainfall,  Agri-
 culture.

 Percolation of surface-applied water tagged with  chloride was studied in  Maury
 silt  loam and  Huntington silty clay loam  under  field conditions.  Soil samples
 were  taken  in  small increments to the 90-cm depth several times following appli-
 cation of water.   Analyses of  chloride content  with depth indicated  the position
 .of  the applied water relative  to  the initial  soil water in the profile.   Three
 percolation studies were conducted on Maury silt  loam  soil.   In the  first study,
 an  application of  4.2-cm of  water increased the water  content to  the 60-cm depth
 within 1  hour  following irrigation even though  volumetric water averaged  5% be-
 low the upperlimit of  the water holding capacity  through  this depth.  A second
 study  conducted  at a slightly  higher initial water content showed that 20% of a
 4.2-cm application had penetrated below the 90-cm depth immediately  after appli-
 cation and  40% penetrated below this depth within 1 hour.  Similar  results were
 measured  in Huntington silty clay loam.   Simulated rainfall increased the water
 content significantly  to approximately the 15-cm depth in each of three studies.
 A large percentage of  the water passing this depth apparently percolated  past
 the 90-cm depth with very little  adsorption of water and chloride between these
 depths.  Location of chloride  in  the profile and movement of chloride past the
 90-cm depth indicated  that a large  percentage of the applied water percolated
 past the water initially present  with little displacement of the  initial  water.


 76:02G-003
 INFLUENCE OF HYSTERESIS ON MOISTURE  FLOW  IN AN UNDISTURBED SOIL MONOLITH,
Beese, F.,  and van der Ploeg,  R.R.
 Goettingen  University,  Institute  of  Soil  Science and Forest Nutrition, West
Germany.
 Soil Science Society of America Journal,  Vol. 40, No.  4, p 480-484,  July-August
1976.   8 fig,  17 ref.

Descriptors:  *Soil moisture,  *Hysteresis, *Drying, *Wetting, Soils,  Podzols,
Gray-brown podzolic soils,  Physical  properties, Lysimeters, Infiltration, Unsat-

                                              34

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urated flow, Soil properties,  Soil water,  Diffusion,  Soil water movement,  Mathe-
matical models. Model studies,  Laboratory  tests,  Sorption,  Soil science.

The moisture dynamics of an undisturbed  soil  monolith were studied  during  a
lysimeter experiment.  Daily measurements  were  made  of the soil suction at 10
depths.  Also measured daily were the  precipitation,  the seepage, and  the  evap-
oration from the monolith during a 3-year  period.  For selected periods, a dry-
ing  (desorption) curve and a wetting  (sorption) curve of the  soil moisture char-
acteristic were determined from field  data.   Also, the capillary conductivity
was determined with use of daily monolith  observations.   By using these hydraulic
functions, the unsaturated soil moisture flow equation was solved numerically
for one-dimensional vertical flow.  In order  to determine the effect of hyster-
esis on the suction distribution in the  monolith, calculations were performed
either with the desorption curve or with the  sorption curve without scanning
between the curves.  Neither of the two  curves  led to complete agreement between
observed and calculated soil suction values;  the desorption curve usually  gave
too high values, and the sorption curve  gave  too  low values.


76:020-004
RADIATION HAZARD FROM AMERICIUM-BERYLLIUM  NEUTRON MOISTURE PROBES.
Gee, G.E., Stiver, J.F., and Borchert, H.R.
North Dakota State University,  Department  of  Soils,  Fargo,  North Dakota.
Soil Science Society of America Journal, Vol. 40, No.  4,  p 492-494, July-August
1976.  3 fig, 1 tab, 4 ref.

Descriptors:  *Soil moisture meters, *Nuclear moisture meters,  *Hazards, *Radia-
tion, Soil moisture, Radioactivity, Safety, Instrumentation,  Equipment, Monitor-
ing, Measurement, Soil science.

Neutron fluxes from shielded neutron moisture probes  need to  be measured to
evaluate total radiation exposure from these  instruments.   Theoretical consider-
ations suggest that for 100 mCi Am-Be  neutron moisture probes the fast neutron
flux can be relatively high and contribute significantly to the radiation  expo-
sure of probe operators.  Measured radiation  dose levels at the surface of 100
mCi Am-Be newtron probes manufactured  by Troxler Laboratories were  found to be
as high as 37 m Rem/hour which exceeds reported levels by as  much as 38 times.
This was believed to be due to nonreporting of  fast  neutron fluxes.  It was
mentioned that conventional field use  of these  probes  may present a radiation
hazard to operators if the probe is hand carried for periods  which  exceed  three
hours per week.  It was recommended that the  probe be  transported to and from
sites inside a wooden storage  crate and  be kept at least 1  m  from personnel.
Also, to improve the radiation safety  factor  for on  site use,  it was recommended
that a hand cart be used to transport  the  probe.


76:020-005
MEASURING HYDROLOGIC PROPERTIES OF SOIL  WITH  A  DOUBLE-RING  INFILTROMETER AND
MULTIPLE-DEPTH TENSIOMETERS,
Ahuja, L.R., El-Swaify, S.A.,  and Rahman,  A.
Hawaii University, Department  of Agronomy  and Soil Science, Honolulu, Hawaii.
Soil Science Society of America Journal, Vol. 40, No.  4,  p  494-499, July-August
1976.  10 fig, 1 tab. 5 ref.

Descriptors:  *Hydrologic properties,  *Soil water movement, *Soil physical prop-
erties, *Hawaii, Soil properties, * Infiltration, *Infiltrometers, *Tensiometers,
On-site investigations. Forests, Forest  watersheds, Soils,  Loam, Clay loam, Per-
colation, Groundwater movement. Water  spreading, Soil  science,  Instrumentation.

A ring infiltrometer with varying width  of buffer zone in combination with mul-
tiple-depth tensiometers was tested for  determining the  hydrologic properties
of a Typic Dystrandept (Tantalus silty clay loam) soil profile  on a forested
watershed in Hawaii.  With location of one multiple-depth tensiometer at the
vertical axis of  theaxisymmetric flow system and one  or  more  at a given radius
outside-the inner ring, the vertical and the  radial hydraulic  gradients could
be simultaneously measured.  It was thus possible to estimate  the lateral flow
components and to determine vertical infiltration rates  and hydraulic conduct-
ivities (at field saturation)  of the different  soil horizons.   Lateral flow
decreased with time during infiltration.   Under the moist-to-wet conditions of
                                             35

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the soil under  study, lateral  flow was not  appreciable.   From an  inner ring of
30-cm diameter, the lateral  flow was practically  eliminated  when  a  buffer ring
of 90-cm diameter was employed.  The effect of  lateral  flow  on the  final infil-
tration rate was negligible  even when a  buffer  ring  of  60-cm diameter  was used.


76:02G-006
VISCOSITY OF INTERLAYER WATER  IN MONTMORILLONITE,
Low, P.F.
Purdue University, Department  of Agronomy,  Lafayette, Indiana.
Soil Science Society of America Journal, Vol. 40, No. 4,  p 500-505,  July-August
1976.  4 fig, 1 tab, 30 ref.

Descriptors:  *Viscosity, *Permeability, *Clays,  *Montmorillonite,  *Viscous flow,
Flow resistance. Diffusion,  Hydraulic conductivity,  Porous media, Soils,  Soil
properties. Physical properties, Analytical  techniques, Groundwater  movement,
Soil science.

The viscosities of water in  Na-montmorillonite  system at  various  contents  were
calculated by different equations using data from experiments  conducted  by
different investigators on;  (1) viscous flow of water at  different temperatures,
 (2) self-diffusion of water, and (3) neutron scattering by water.  The results
were remarkably consistent and showed that  the viscosity  of  the interlayer water
is greater than that of bulk water and increases exponentially with  decreasing
water content.  Evidence was also presented to  show  that  the viscosity of  this
water depends on the b-dimension of the montmorillonite.  By combining the data
on viscosity with data on hydraulic conductivity, it was  possible to determine
the permeability of the montmorillonite at different water contents.


76:020-007
HEAT AND WATER MOVEMENT UNDER  SURFACE ROCKS IN A FIELD SOIL:  I. THERMAL EFFECTS,
Jury, W.A., and Bellantouni, B.
California University, Department of Soil Science and Agricultural Engineering.
Soil Science Society of America Journal, Vol. 40, No. 4,  p 505-509,  July-August
1976.  6 fig, 2 tab, 13 ref.

Descriptors:  *Soils, *Rocks,  *Heat flow, *Soil moisture, Soil water movement,
On-site investigations, Model  studies. Mathematical models, Thermal  conductivity,
Water vapor, Mulching, Droughts, Arid lands, Groundwater movement, Soil science.

Results of a field experiment designed to evaluate the effect of surface rocks
on soil heat flow were presented.  Temperature observations were made by thermo-
couples at 12 locations under and adjacent to rocks placed over bare soil.  Con-
tinuous readings were taken  for 24- and 48-hour intervals using seven different
kinds of rock cover, ranging from large granite slabs to  gravel piles, during
the time between December 1974 and August 1975.   Experimental results consis-
tently showed a non-negligible 24-hour net horizontal heat flow toward the  rock
at both the 2.5 and 5.0 cm depth.  Net vertical heat flow was always downward
in the soil under the bare surface but was observed to be either upward or  down-
ward in the soil under the rock cover depending on prior  conditions.  Because
water vapor movement in moist soil is generally in the same direction as heat
flow, it was suggested that surface rock cover may be a mechanism for water
collection in arid climates.  A simulation model was constructed to  describe
two-dimensional heat flow in a uniform soil with a rectangular rock  on the
surface.   Using the measured surface temperature as boundary values  and a  soil
thermal conductivity corresponding to the mean daily soil surface temperature,
the simulation model adequately reproduced the observed temperatures under  and
adjacent to the rock.


76:020-008
HEAT AND WATER MOVEMENT UNDER SURFACE ROCKS IN A FIELD SOIL:  II. MOISTURE
EFFECTS,
Jury,  W.A.,  and Bellantouni, B.
California University,  Department of Soil Science and Agricultural Engineering,
Riverside,  California.
Soil Science Society of America Journal,  Vol. 40,  No. 4, p 509-513,  July-August
                                             36

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1976.  5 fig, 3 tab, 7 ref.

Descriptors:  *Soils, *Rocks,  *Heat  flow,  *Soil moisture.  Soil  water movement,
On-site investigations, Laboratory tests,  Model studies, Mathematical models,
Computer models, Thermal conductivity, Water  vapor,  Mulching, Droughts, Arid
lands, Groundwater movement, Moisture effects.

Results were presented from a  field  experiment conducted to determine the effect
of surface rocks on soil water content change under  bare soil.  First, stones
were placed at intervals over  an  initially dry field (gravimetric water content
= 0.021 g/g) and left for  6 weeks.   Subsequent sampling showed  a small, but
detectable, excess of water stored under the  rock compared to adjacent bare
soil.  Following an irrigation, buried thermal conductivity probes were used to
monitor water content changes  under  and adjacent to  surface rocks.  After 24
days, the soil under the rock  contained significantly more water than did the
soil region adjacent to the rock, a  finding confirmed by gravimetric sampling.
Following this, the stones and probes were relocated for a further 24 days of
observation, with similar  results obtained.   In a separate laboratory experi-
ment using a large, sealed soil column with a rock covering part of the surface,
it was demonstrated that a significant amount of water moved to the cylinder of
soil under the rock from the soil region under the bare surface due to horizontal
temperature gradients induced  by  the rock  covering part of the  surface.  A two-
dimensional computer program calculating water vapor movement under thermal
gradients was used with measured  field temperature boundary conditions to esti-
mate the amount of water vapor movement expected to  occur due to a rock cover
on the soil surface.  Results  qualitatively confirmed the observations of the
sealed laboratory column experiment.


76:02G-009
FIELD MAPPING SOIL CONDUCTIVITY TO DELINEATE  DRYLAND SALINE SEEPS WITH FOUR-
ELECTRODE TECHNIQUE,
halvorson, A.D., and Rhoades,  J.D.
Agricultural Research Service, Sidney, Montana.
Soil Science Society of America Journal, Vol. 40, No. 4, p 571-575, July-August
1976.  7 fig, 3 tab, 8 ref.

Descriptors:  *Saline soils, *Conductivity, *0n-site investigations. Arid lands,
Salinity, Measurement, Salts,  Groundwater, Seepage,  Mapping, Soil water. Soils,
Maps, Surveys, Soil science.

Continuing incidence of saline-seep  areas  in  the northern Great Plains dryland
soils has created a need for detecting and delineating encroaching saline seeps
before plant growth is affected.  This paper  reported on an evaluation of the
four-electrode conductivity technique for  field mapping surface and subsurface
soil salinity under dryland conditions.  Results indicated that the four-elec-
trode conductivity technique can  be  used successfully to quickly field map sur-
face and subsurface soil salinity boundaries  of existing and potential saline-
seep areas.  This technique also  depicted  underground flow patterns of a shallow,
saline groundwater table.  Maps of apparent bulk soil conductivity values were
used to locate the position of the recharge area in  relation to the discharge
(seep) area.  While maps of discrete depth interval  conductivity values provi-
ded more precise information,  the time required may  not warrant the additional
required calculations unless a portable programmable calculator is available.
Mapping soil salinity with the four-electrode conductivity technique was easy,
rapid, and relatively inexpensive.   This technique provides information useful
in making management decisions to prevent  or  alleviate a saline seep or other
soil salinity problems.


76:02G-010
A MARKOVIAN STOCHASTIC BASIS FOR THE TRANSPORT OF WATER THROUGH UNSATURATED SOIL,
Bhattacharya, R., Gupta, V., and  Sposito,  G.
Arizona University, Department of Mathematics, Tucson, Arizona.
Soil Science Society of America Journal, Vol. 40, No. 3, May-June 1976b.   11 ref.
OWRT B-046-ARIZS5). 14-34-0001-6057.

Descriptors:  *Hydraulic conductivity, *Markov processes, *Unsaturated flow,
Stochastic processes, Equations,  *Soil water  movement, Diffusivity, Soil moisture.
                                              37

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The differential  equation  that  describes  the  isothermal,  isohaline transport of
water  through  a homogeneous,  isotropic, unsaturated soil  is shown to result from
a  fundamental  stochastic hypothesis;  that the trajectory  of a water molecule is
a  non-homogenous  Markov process characterized by space- and time-dependent coef-
ficients of drift and  diffusion.   The demonstration makes possible a new theoret-
ical interpretation  of the water diffusivity  and the hydraulic conductivity at
the molecular  level  and results in a  derivation  to  the Buckingham-Darcy flux
law that does  not rely directly on experiment.


76:02G-011
COMPARISON OF  DRAINAGE EQUATIONS FOR  THE  GRAVITY DRAINAGE OF STRATIFIED PROFILES,
Watson, K.K.,  and Whisler, F.D.
Mississippi State University, Department  of Agronomy, Mississippi State,  Miss-
issippi.
Soil Science Society of America Journal,  Vol.  40, No. 5,  p 631-635,  September-
October 1976.  3  fig,  3 tab,  10 ref.

Descriptors:   *Drainage, *Gravity,  *Percolation,  *Equations,  Numerical  analysis.
Model  studies, Mathematical models, Unsaturated  flow. Soil water,  Soils,  Compu-
ters,  Profiles, Sands, Analytical techniques,  Soil  science,  Agriculture.

The output from a computer-based numerical analysis of the gravity drainage of
a  sand profile through an  underlying  impeding layer was used as  the data  for
testing the manner in  which algebraic equations  are capable of describing the
stratified drainage  process.  The comparisons indicated that no  single  equation
is satisfactory in describing the wide range  of  nonlinear behavior that occurred
with eight cases  analyzed.  However,  when specific  coefficients  determined from
a  least squares analysis were used in an  equation of the  Jackson and Whisler
type,  satisfactory correspondence was achieved.


76-.02G-012
EFFECTS OF LIQUID-PHASE ELECTRICAL CONDUCTIVITY, WATER CONTENT,  AND  SURFACE
CONDUCTIVITY ON BULK SOIL  ELECTRICAL  CONDUCTIVITY,
Rhoades, J.D., Raats,  P.A.C., and Prather, R.J.
Agricultural Research  Service,  Salinity Laboratory,  Riverside, California.
Soil Science Society of America Journal,  Vol.  40, No. 5,  p  651-655,  September-
October 1976.  7  fig,  3 tab,  13  ref.

Descriptors:   *Electrical  conductivity, *Soils,  *Soil water, Model  studies,
Laboratory tests.  Mathematical  models, Salinity, Saline soils, Soil  properties,
Soil types, Soil  science.

Recent research has  demonstrated  that field soil salinity can  be  inferred  from
four-electrode soil  electrical  conductivity if the  soil profile  is near 'field
capacity1 and  calibration  curves,  based on saturation extract  salinity, are
available.  To extend  the  use of  this field method  to arbitrary water contents,
electrical conductivity was studied in the laboratory as  a  function  of water
content and in situ  soil water  conductivity.  Undisturbed cores of four soil
types  were collected using Lucite column  inserts, which were tapped  for later
insertion of electrodes.   The cells were  equilibrated with waters of a desired
conductivity and,  using a pressure membrane apparatus, adjusted  to a desired
water  content.  Values of  soil  electrical conductivity were calculated  from
measured four-electrode resistances and an appropriate cell constant.  A  rela-
tionship was derived using a  simple capillary model, which assumes that liquid
phase  and surface  conductivities  (via exchangeable  cations) behave as resistors
in parallel.


76:02G-013
SURFACE SOIL MOISTURE WITHIN A WATERSHED—VARIATIONS, FACTORS  INFLUENCING,  AND
RELATIONSHIP TO SURFACE RUNOFF,
Henninger,  D.L.,  Petersen,  G.W., and  Engman, E.T.
Pennsylvania State University, University Park, Pennsylvania.
Soil Science Society to America Journal,  Vol.  40, No. 5,  p 773-776,  September-
October 1976.   2  fig, 4 tab,  16 ref.

Descriptors:   *Soil moisture,  *Watersheds (Basins),   *Pennsylvania, Surveys, Data
                                              38

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processing,, Soils, Soil types,  Precipitation (Atmospheric),  Runoff,  Evaporation,
Vegetation effects, Drainage, Moisture  meters,  Nuclear moisture meters,  Soil
science.

Surface soil moisture was measured  within  the upper 15 cm,  using neutron-scat-
tering equipment, on six soil series, within a  57.8-ha Pennsylvania watershed
during the 19 May to 11 November 1971 period.   Surface soil moisture  was  respon-
sive to individual storm events,  showed discernible seasonal  trends,  and  dis-
played larger fluctuations at higher moisture levels than at  lower moisture
levels.  An analysis of variance showed that well-drained soils had significantly
different surface soil moisture  levels  than  the more poorly drained soils.  Also,
yell-drained soils could be grouped into a hydrologic unit  distinct from  the
more surements along parallel transects which were  approximately perpendicular
to the slope contours, showed high  surface soil moisture contents proximal to
the stream, indicating that these areas contribute  more to  surface runoff in a
shorter period of time than areas distant  from  the  stream channel.  Multiple
regression equations, using pan  evaporation  and surface soil  moisture for each
soil series, were used to show the  relative  importance of the internal soil
drainage class in predicting surface runoff.


76:02G-014
PREDICTING RUNOFF INITIATION TIMES  UNDER FIELD  CONDITIONS IN  TROPICAL (HAWAII)
SOILS,
Ahuja, L.R., Dangler, E.W., and  El-Swaify, S.A.
Hawaii Universtiy, Department of Agronomy  and Soil  Science, Honolulu, Hawaii.
Soil Science Society of America  Journal, Vol. 40, No.  5, p  777-779, September-
October 1976.  1 fig, 1 tab, 10  ref.  ARS-USDA  12-14-5001-19,  12-14-5001-40.

Descriptors:  *Runoff, *Soil types, *Hawaii,  *Simulated rainfall. Rainfall-
runoff relationships, Soils, Infiltration, Ponding,  Rainfall,  Precipitation
 (Atmospheric), Surface runoff. Hydraulic conductivity-

Runoff initiation times measured during field rain-simulation studies on  10
important Hawaii soils were examined in relation to antecedent soil water status.
The experimental data showed considerable  scatter,  which was  due mainly to
natural soil variability within  a soil  series.  However, the  data exhibited a
fairly proportional relationship between runoff initiation  time and antecedent
soil saturation deficit  (final minus initial soil water content), in  accordance
with a simple Green-Ampt type equation.  The results indicated a potential
method for estimating erosive portions  of  rainstorms and subsequent soil  loss
hazards in relation to varying antecedent  soil  water contents during  different
seasons of the year.


76:02G-015
AN ELECTRICAL CONDUCTIVITY PROBE FOR DETERMINING SOIL SALINITY,
Rhoades, J.D., and van Shilfgaarde, J.
Agricultural Research Service, Salinity Laboratory,  Riverside,  California.
Soil Science Society of America  Journal, Vol 40, No.  5, p 647-651, September-
October 1976.  4 fig, 2 tab, 7 ref.

Descriptors:  *Saline soils, *Electrical conductance,  *Instrumentation, *Equip-
ment, Soil properties, Irrigation,  Salts,  Electrical equipment,  Soils, Salinity,
Soil Science, *Salinity.

An electrical conductivity probe for determining soil  salinity was described,
including construction details.   The probe's utility for measuring soil salinity
within discrete soil depth intervals was illustrated with examples.   Using the
salinity probe, the Barnes method for estimating electrical conductivity  profiles
was shown to be accurate for soils  that are  reasonably homogeneous laterally.


76:026-016
PREDICTION OF EVAPORATION FROM COLUMNS  OF  SOIL  DURING  ALTERNATE PERIODS OF
WETTING AND DRYING,
Staple, W.J.                                                      .    _    ,
Soil Research Institute, Department of  Agriculture,  Ottawa, Ontarxo,  Canada.
Soil Science Society of America  Journal, Vol. 40, No.  5, p  756-761, September-
                                               39

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October 1976.  7 fig, 1 tab, 22 ref.

Descriptors:  *Evaporation, *Soils, *Soil properties, Infiltration, Laboratory
tests, Model studies, Hydraulic conductivity, Drying, Wetting, Soil moisture,
Soil water movement, Loam, Soil water, Soil science.

The analysis was undertaken to test certain approximations in using finite dif-
ference methods to compute evaporation and soil water conservation.  Analysis of
four evaporation experiments showed that water movement in Wood Mountain ciay
loam was sufficiently repeatable during wetting and drying to permit computation
of evaporation losses on the basis of predetermined soil properties   The exper-
iments involved evaporation after the following treatments:  (1) infiltration
penetrating partway down columns of air-dry soil;  (2) infiltration and 7 days
redistribution;  (3) treatment  (2) plus additional  infiltration; and  (4) repeated
infiltration applied at different stages of initial drying.  In computing evap-
oration, the Richards and Dalton flow equations were used with soil and atmos-
pheric parameters.  Temperature gradients in the soil were neglected.  Hydraulic
conductivity of the surface layers of soil were adjusted empirically to estimate
combined liquid and vapor movement and to correct  for disruptive effects such
as dispersion, air blockage, and swelling near the surface.  The independent
domain theory was used to estimate the influence of hysteresis on capillary
pressures during alternate wetting and drying.  Agreement between measured and
computed evaporation was satisfactory following infiltration, except when water
was added after more than 7 days' evaporation.


76:020-017
SEEPAGE FROM TRAPEZOIDAL CANAL IN ANISOTROPIC SOIL,
Reddy, A.S., and Basu, U.
Indian Institute of Science, Department of Civil Engineering, Bangalore.
Journal of  the Irrigation and Drainage Division, American Society of Civil
Engineers,  Vol. 102, No. IR2, Proceedings Paper 12386, p 349-361, September
1976.  6 fig, 28 ref. 2 append.

Descriptors:  *Irrigation, *Seepage, *Canals, Irrigation canal, Permeability,
Anisotropy,  Homogeneity, Phreatic lines, Hydrology, Hudraulics, Equations,
Flow.

An analytical solution which takes into account the general anisotropic behavior
of the porous medium was found for the problem of  seepage flow from an unlined
trapezoidal canal.  Since a canal in an anisotropic medium transforms into one
with  unequal slopes in an equivalent isotropic porous medium, the solution here
was concerned with the problem of seepage flow from an  unsymmetrical trapezoidal
canal.  The method of inversion of hodograph was made use of, and expressions for
the seepage loss and the locations of the phreatic lines were obtained.  Numeri-
cal results were presented for the equivalent isotropic flow domain.  Using the
transformation formulas given, the actual discharge and the locations of phreatic
lines in anisotropic  medium can be easily obtained for given physical parameters
of the actual flow domain.  The nonsymmetry of trapezoidal canals of side slopes
less  than one has considerable influence on the quantity of seepage.


76:02G-018
PREDICTION  OF INFILTRATION INTO LAYERED FIELD SOILS IN RELATION TO PROFILE
CHARACTERISTICS,
Bruce, R.R., Thomas, A.W., and Whisler, F.D.
Agricultural Research Service, Watkinsville, Georgia.
Transactions of the American Society of Agricultural Engineers, Vol. 19, No. 4,
p 693-698,  703, July-August 1976.  12 fig, 4 tab, 15 ref.

Descriptors:  *Infiltration, *Soil profiles, *Soil classification, *Storms,
*Soil horizons,  *Pressure head. Soil moisture, Hydraulics, Porosity, Numerical
analysis,  Soil physics, On-site tests, *Forecasting.

An infiltration model based on flow theory was used to examine the effects of
nature and  extent of soil horizons in profiles of a clayey soil upon infiltratjbn
and soil water distribution.  It was concluded that the characteristics and
thickness of the surface soil horizon which overlies a subsoil of higher clay
content and lower saturated hydraulic conductivity determine infiltration and
                                              40

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consequent distribution fo soil water  during  a  significant  period  of  a  rainfall
event.  The period may vary from  10  to 40 minutes  for  high-intensity  storms,
depending upon initial soil water content,  and  for a longer period for  dry  soils
and low-intensity storms.  The B2 horizon of  the soil  tested begins to  regulate
infiltration after 30 to 40 minutes.   The duration of  these periods assumes
insignificant effect hydraulic characteristics.  The model  adequately described
infiltration into a grass covered plot.


76:02G-019
ANALYTICAL SOLUTIONS OF A SIMPLIFIED FLOW EQUATION,
Raats, P.A.C.
Agricultural Research Service, Salinity Laboratory, Riverside,  California.
Transactions of  the American  Society of Agricultural Engineers,  Vol.  19, No.  4,
p 683-689, July-August 1976.   6 fig, 35 ref.

Descriptors:  *Infiltration,  *Soil water movement, *Hydraulic conductivity,
*Moisture content, *Analytical techniques,  Pressure head, Hydraulics, Soil
physics. Model studies, Flow,  Capillary action, Equations.

Assuming that the hydraulic conductivity is an  exponential  function of  the
pressure head, a simplified flow  equation was derived.   The influence of
hysteresis was ignored.  The  flow equation  contained a constant that  can be
interpreted as a natural length of the soil and a  function  that delimits a
natural time.  Solutions of three special forms of the flow equation  were dis-
cussed:  (1) steady flows from point  and line  sources and to points and  line
sinks,  (2) steady vertical flow,  subject to distributed uptake  by  plant roots
and a water table, and  (3) transient redistribution following irrigation.   All
solutions presented hinge upon the exponential  and the pressure head.   The
relationship was believed to  be valid  if the  range of  hydraulic conductivities
is small.


76:02G-020
EFFECT OF MICROORGANISMS ON THE SORPTION AND  FATE  OF SULFUR DIOXIDE AND NITROGEN
DIOXIDE IN SOIL,
Ghiorse, W.C. , and Alexander,-  M.
Cornell University, Department of Agronomy, Ithaca, New York.
Journal of Environmental Quality, Vol. 5, No. 3, p 227-230, July-September  1976.
3  fig, 4 tab,  22 ref.

Descriptors:   *Sorption,  *Nitrification, *Microorganisms, Sulfur compounds.

Sulfur dioxide was rapidly removed from the gas phase  in contact with both
nonsterlle and sterile  soil  so that  viable  microorganisms are not  directly
involved in removal of  this pollutant  from  the  atmosphere.   Sulfate was formed
from  the S02  in  nonsterile and sterile soil.  About one-fourth  of  the sulfur
from  the SO2  introduced was not recovered  in  inorganic form, but the  recovery
was quantitative if the  soil  was  first ignited  to  destroy organic  matter.
Nitrogen dioxide was  also readily lost f'rom the gas phase in contact  with non-
sterile and sterile soil, and both nitrite  and  nitrate were generated.  The
role  of microorganisms  in the fate of  this  pollutant is in  the  conversion of
the nitrite to nitrate.


76:020-021
EFFECT OF DISSOLVED OXYGEN ON REDOX  POTENTIAL AND  NITRATE REMOVAL  IN  FLOODED
SWAMP,
Engler, R.M., Antie,  D.A., and Patrick, W.H.  Jr.
Department of  the Army,  Corps of  Engineers, Waterways  Experiment Station,
Environmental Effects Laboratory, Vicksburg,  Mississippi.
Journal of Environmental Quality, Vol. 5,  No. 3, p 230-235, July-September  1976.
6  fig,  2 tab,  14 ref.

Descriptors:   *Nitrates,  *Dissolved  oxygen, *Louisiana, *Floodwater,  Coastal
marshes, Laboratory tests. Soil  investigations.

The O2 depletion rates, N03(-) loss, and the  effects of added 02 on N03(-)
                                               41

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disappearance and redox potential in four flooded or intermittently flooded
soils from the swamp and coastal marshes of Louisiana were quantitatively char-
acterized in a laboratory study.  The N03(-) added either to the shallow flood-
water or mixed with the soil in a suspension rapidly disappeared.  Eighty to
ninety parts per million N03{-) was lost from the soil suspensions in 1 to 4
days and from the floodwater over a soil in 10 to 20 days.  No N03(-) was lost
from floodwater separated from the soils.  Oxygen depletion in the soil suspen-
sions occurred in 15 minutes to 4 hours.  Redox potential curves exhibited a
characteristic inflection after 02 disappearance in all soils studied.  Nitrate
disappearance did not appear to be inhibited by as much as 16 ppm O2 dissolved
in the soil suspensions because the 02 was rapidly consumed.


76:02G-022
THE EFFECTS OF TEMPERATURE AND SOIL WATER ON CONVERSION OF DDT TO DDE IN SOIL,
Guenzi, W.D., and Beard, W.E.
United States Department of Agriculture, Agricultural Research Service, Western
Region, P.O. Box E., Fort Collins, Colorado.
Journal of Environmental'Quality, Vol. 5, No. 3, p 243-246, July-September 1976.
2 fig, 2 tab, 13 ref.

Descriptors:  *Pesticides, *Insecticides, *Chemical degradation, *Persistence,
*Microbial degradation, Soil water, Soil investigations, Temperature.

A laboratory study was conducted to determine the rates of DDT degradation
and DDE formation in soil.  Degradation rates increased with higher temperatures
and in the presence of water.  Of the DDT mixed with Raber silty clay loam, 82.1,
74.5, 53.2, and 38.3% was recovered as DDT and 6.7, 12.5, 21.6, and 34.8% as
DDE after 140 days  incubation at 30, 40, 50, and 60C, respectively.  A compar-
ison of DDE formation in sterile and nonsterile soil showed that 84% of the
conversion was due  to a chemical  process at 30C, and 91% at 60C.  In sterile
systems at 30C, rates of DDE formation were similar in submerged soil and soil
at 1/3 bar suction, and both were much higher than in air-dried soil.


76:020-023
INFLUENCE OF CROP MANAGEMENT PRACTICES ON NUTRIENT MOVEMENT BELOW THE ROOT ZONE
IN NEBRASKA SOILS,
Muir, J., Boyce, J.S., Seim, E.G., Mosher, P.N., and Deibert, E.J.
Nebraska Agricultural Experiment Station, Lincoln, Nebraska.
Journal of Environmental Quality, Vol. 5, No. 3, p 255-259, July-September, 1976.
9 fig, 12 ref.

Descriptors:  *Nitrogen, *Potassium, *Root zone, *Leaching, Irrigation effects,
Nebraska, Soil investigations. Alfalfa, Corn.

Deep profile sampling under different water and crop management systems revealed
limited movement of N and none of P from the rooting profile of non irrigated
Nebraska soils.  Leaching of N to the water table was apparent in most irrigated
soils located on valley positions and in sandy soils of the uplands.  Alfalfa
with its deep rooting system, was noted to be an effective scavenger of inorganic
N that may have accumulated under prior crops.


76:02G-024
EVALUATION OF A CAPILLARY BUNDLE MODEL FOR DESCRIBING SOLUTE DISPERSION IN
AGGREGATED SOILS,
Rao, R.S.C., Green, R.E., Ahuja, L.R., and Davidson, J.M.
Florida University, Department of Soil Science, Gainesville, Florida.
Soil Science Society of America Journal, Vol. 40, No. 6, p 815-820, November-
December 1976.  4 fig, 2 tab, 21 ref.

Descriptors:  Model studies, Hawaii, Soil water. Soil water movement, Pores,
Pore water, Soils, Soil investigations.

A simple capillary bundle model was evaluated for describing solute dispersion
in two well-aggregated soils of Hawaii.  The model enables the use of pore-
water velocity distribution rather than an average pore-water velocity.  The
pore-size distribution was calculated from the soil water characteristic data.
                                              42

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The position and relative shape of  the  break-through curves  calculated  by  the
capillary bundle model was dependent more  on  the  pore-water  velocity  distribu-
tion than on dispersion owing  to mixing within  a  pore.   The  predicted break-
through curves were extremely  skewed and did  not  describe  the measured  curves.
The mixing of solute between adjacent flow paths,  a  process  not  accounted  for in
the model, apparently resulted in failure  of  the  model.  A measure  of pore
accessibility and interconnectedness of pore  sequences  is  essential for quanti-
tative description of the influence of  soil pore  geometry  on solute dispersion.


76:02G-025
SIMULATION OF PROFILE WATER STORAGE AS  RELATED  TO SOIL  HYDRAULIC PROPERTIES,
Hillel, D., and Van Bavel, C.H.M.
Texas A and M University, Texas Agricultural  Experiment Station,  Department of
Soil and Crop Science, College Station, Texas.
Soil Science Society of America Journal, Vol.  40,  No. 6, p 807-815, November-
December 1976.  12 fig, 1 tab, 18 ref.

Descriptors:  Numerical analysis. Simulation  analysis.  Soil  properties,  Soil
investigations, Model studies, Soil moisture,  Soil water,-  Soil water  movement,
Infiltration, Water conservation, Evaporation.

A previously published numerical model  of  soil-water dynamics was used  to  simu-
late the separate and combined processes of infiltration,  drainage, and evapora-
tion, as determined by hydraulic properties.   Three  hypothetical soils  were
compared: sand, loam, and clay.  Typical soil moisture  characteristic functions
were assigned to each, and the respective  hydraulic  conductivity functions were
calculated.  Uniform profiles  of these  soils  were then  subjected to various
sequences of rainstorms and dry periods.  The sandy  soil provided the least
evaporation  and the most rapid downward flow.  This resulted in the  most  effec-
tive storage under a relatively dry regime.  The  situation was reversed in the
case of the clay soil, which stored the most  water under a relatively wet
regime, while the loam exhibited intermediate behavior.  Some consequences
of  this pattern affecting arid zone ecology are discussed.


76:020-026
EXPERIMENTAL STUDY OF WETTING  FRONT INSTABILITY INDUCED BY SUDDEN CHANGE OF
PRESSURE GRADIENT-
White, I., Colombera, P.M., and Philip, J.R.
Commonwealth Scientific and Industrial  Research Organization, Division  of
Environmental Mechanics, P.O.  Box 821,  Canberra City, 2601 Australian Capital
Territory, Australia.
Soil Science Society of America Journal, Vol.  40,  No. 6, p 824-829, November-
December  1976.  8 fig, 2 tab,  10 ref.

Descriptors:  *Soil water. Soil water movement, Infiltration, Soil  investiga-
tions, Soil properties. Soil moisture.

Twenty-two experiments were performed on stability of infiltration  flows in
Hele-Shaw cells.  Flows were perturbed  by  suddenly changing  G, the  pressure
gradient behind the wetting -front,  from a  definite negative  to a definite
positive value.  Three methods were used;   (i)  increasing air-pressure ahead of
the front,  (ii) employing a nonwetting  stratum, and  (iii)  suddenly  stopping
liquid supply and preventing air-entry. Glycerol and silicone,  with  contrasting
properties, were used as the infiltrating  liquids.  The experiments confirmed
the theory of Philip:   immediately  G was made positive,  all flows became
unstable,  and the observed wavelengths  of  fingering  agreed closely with
those predicted by the theory. A modification of the  theory to take account
of  the geometry of the microscopic  air-liquid interface predicts wavelengths
in  soil about twice as large as does  the original theory.  A preliminary exper-
iment on infiltration of water in a coarse sand confirmed  the theory  qualita-
tively, but the observed wavelength was twice that predicted theoretically.  In
a preliminary experiment on infiltration in a fine sand, perturbation failed to
produce instability.  This divergence  from theory is attributed  to  deviations
from the delta-function model  on which  the theory is based.  Further  experimen-
tal and theoretical work is needed.
                                              43

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76.-02G-027
EFFECT OF PH AND COMPLEX FORMATION ON MERCURY  (II) ADSORPTION BY BENTONITE,
Newton, D.W., Ellis, R. Jr., and Paulsen, G.M.
Kansas State University, Department of Agronomy, Manhattan, Kansas.
Journal of Environmental Quality, Vol. 5, No. 3, p 251-254, July-September  1976.
3 fig, 3 tab, 14 ref.

Descriptors:  *Heavy metals, *Clays, *Chlorides, *Salts, *Mercury, Aquatic
environment, Aquatic population.

Reactions of Hg with bentonite clay were studied to determine behavior of  the
metal in aquatic ecosystems.  Mercury (II) adsorption by bentonite as a function
of pH and complex formation was investigated using a radioisotopic technique.
Maximum Hg(II) adsorption in 0.01M Ca(N03)2 systems occurred in the pH range
4.5-5.5.  Varying the Ca(NO3)2 concentration only slightly influenced adsorption
or the pH of maximum adsorption.  Chloride ions sharply reduced Hg(II) adsorp-
tion, especially at low pH's.  At pH 6 or lower.- increasing CaC12 levels were
required to decrease adsorption at pH 7.  At a given Cl(-) concentration,
maximum observed Hg(II) adsorption occurred near the calculated pH where HgClOH
occurred as a transition complex between HgC12 and Hg(OH)2.  Chloride salts
were more effective desorbers of Hg(II)  than was 0.01M Ca(N03)2 or various o.OlN
acids.  HCL  (O.OlN) removed the most adsorbed Hg(II).


76:02G-028
SIMULATION OF ROOT-ZONE WATER AND DEEP SEEPAGE TO A WATER TABLE,
King, T.G., and Lambert, J.R.
Connell/Metcalf and Eddy, Coral Gables,  Florida.
Presented at the 1975 Winter Meeting of the American Society of Agricultural
Engineers, December 15-18,  1975, Chicago, Illinois.  12 p., 5 fig, 2 ref.

Descriptors:  *Model studies, *Root zone. Moisture tension, Soil water, *Soil
water movement, *Seepage, *Water table,  Evapotranspiration, *Computer models,
Simulation analysis.

The primary objective was to develop a computer model that would simulate  the
quantity and movement of water in the deep seepage region, i.e., between the
root  zone and the water table.  Effort was also directed towards simulating
evapotranspiration and the movement of the water table.  The model has been
structured so that it may readily be modified to other locations where basic
meteorological records and  soil data are available.


76:02G-029
MODELING INFILTRATION AND REDISTRIBUTION OF SOIL WATER DURING INTERMITTENT
APPLICATION,
James, L.G., and Larson, C.L.
Minnesota University, Department of Agricultural Engineering, St. Paul,
Minnesota.
Transactions of the American Society of Agricultural Engineers, Vol. 19, No. 3,
p 482-488, May-June 1976.  7 fig, 4 tab,22 ref.

Descriptors:  *Infiltration, *Infiltration rates, *Soil physics, *Unsaturated
flow, *Soil water movement, *Unsteady flow, Soils, Porous media, Equations,
Soil properties, Mathematical models, Laboratory tests, Computers.

A model that used relatively simple and reasonably accurately measured parameter
equations was used to represent infiltration and redistribution of soil water
during intermittent water applications.   Application of the model was limited
to short time periods since evapotranspiration was neglected and only impervious
and air-soil interface type lower boundaries to the soil zone were considered.
The soil was required to be homogeneous and to have distinct wetting front.
Laboratory data were collected and compared with the model predictions.  The
model was found to predict satisfactorily the runoff quantities and timing, the
volume of water stored in the soil, and the soil moisture profiles including
the position of the wetting front.   The model over-predicted the infiltration
rate when the application rate exceeded tht infiltration capacity of the soil.
                                              44

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76:02G-030
RAPID DETERMINATION OF UNSATURATED HYDRAULIC CONDUCTIVITY  IN  TILLED AND UNTILLED
LOESS SOIL,
Ehlers, w.
Gottingen University, Institut  fur Pflanzenbau  und  Pflanzenzuctung, von-Siebold-
Str. 8, 34 Gottingen, West Germany.
Soil Science Society of America Journal, Vol. 40, No.  6, p 837-840, November-
December 1976.  3 fig, 4 tab, 12  ref.

Descriptors:  *Hydiraulic conductivity,  *Diffusivity, Evaporation, Porosity,
Soil properties, Soil investigations.

A rapid method recently developed for determining moisture diffusivity and
unsaturated hydraulic conductivity in undisturbed soil cores  was employed to
calculate the hydraulic functions of the upper  layers  of tilled and untilled
loess soil.  The results obtained with  the  new  method  compare well with results
obtained by a field method.   Diffusivity functions  as  influenced by tillage and
depth were significantly different.  Conductivities were highest in the 20-30-cm
layer of untilled and were lowest in the same layer of tilled soil.   The number
of  replicates necessary to evaluate the hydraulic functions with arbitrarily
specified precision was calculated.  For the soil under study, five to nine
samples are needed, when upper  and lower limits of  the 95% confidence interval
of  diffusivity means are defined  not to be  different more  than by a factor of
three.


76:02G-031
POTASSIUM STATUS OF SOME ALLUVIAL SOILS IN  KENTUCKY,
Rasnake, M., and Thomas, G.W.
Kentucky University, Department Of Agronomy, Lexington, Kentucky.
Soil  Science Society of America Journal, Vol. 40, No.  6, p 883-886, November-
December  1976.  7 fig,  3 tab, 21  ref.

Descriptors:   *Kentucky,  *Potassium,  *Bermudagrass, Soil chemistry. Soil chemical
properties, Soils, Soil investigations.

Six alluvial soils from Kentucky  were  intensively cropped  to  'Midland' bermuda-
grass  to  determine K availabiltiy in  each  soil. Potassium removal by the berm-
udagrass was compared  to exchangeable  K, to labile  K estimated from Beckett
quantity/intensity plots and to Gapon  coefficients  before  and after cropping.
Exchangeable K was not a good measure  of uptake (r  = 0.61  not significant), but
labile K  determined on soils before cropping and the Gapon coefficient after
cropping  gave  highly significant  linear correlations with  K removed by bermuda-
grass.  Exchangeable K after cropping  changed an average of only 23 ppm K in
the soils, but availability  of  K  to plants  was  lowered drastically in all soils.
This  study  shows that  exchangeable K  is an  insensitive measurement of K availa-
bility to plants.  Exchangeable K is  a  useable  measurement only because wide
ranges are used in determining  classes  of  availability in  soil testing.


76:02G-032
COUPLING  PHENOMENA IN  SATURATED HOMO-IONIC  MONTMORILLONITE:  II. THEORETICAL,
Groenevelt, P.H., and  Elrick, D.E.
Guelph University, Department of  Land  Resource  Science, Guelph, Ontario, Canada.
Soil  Science Society of America Journal, Vol.  40, No.  6, p 820-823, November-
December  1976.  11 ref.

Descriptors:   *Clays,  Soil water. Soil  water movement, Model  studies, Thermo-
dynamics,  Salts, Saturated  soils.

A theory  is presented  for  the formulation  of  flux equations which describe the
transport of water.-  salt,  and electric  charge through  clays.  This theory is
based on  thermodynamics principles.  Model  considerations  lead to analytical
expressions for the transport coefficients.  These  model calculations are based
on electric double layer  theory and produce a symmetric matrix of coefficients.
The difference with former  theories and model calculations is that the analysis
is for electrodes which are  reversible  to  the anions instead  of the cations.
The impact of  this difference on  the magnitude  of some of  the coefficients and
                                               45

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on some of the physico-chemical responses of the system is formidable.


76:02G-033
AN IMPROVED TECHNIQUE FOR MEASURING SOIL PH,
Mubarak, A., and Olsen, R.A.
Montana State University, Agricultural Experiment Station, Bozeman, Montana.
Soil Science Society of America Journal, Vol. 40, No. 6, p 880-882, November-
December 1976.  2 fig, 3 tab, 17 ref.

Descriptors:  Soil properties. Soil investigations. Soil chemistry. Soil chemical
properties. Laboratory tests.

Soil solution is obtained by immiscible displacement using centrifugation in the
presence of an excess of carbon tetrachloride.  A combination glass electrode is
then introduced into the soil solution which is floating on top of the carbon
tetrachloride.  By ke'eping the system closed, changes in pH induced by loss or
gain of carbon dioxide are avoided.  No water need be added to a naturally occur-
ing soil so changes in pH induced by the dilution effect and/or the salt effect
are obviated.  There is no contact between reference electrode and soil parti-
cles so there is considered to be no junction error involved in the measurement.
The technique is simple and reasonably convenient; the readings are stable and
apparently reliable.


76:02G-034
SOIL AIR PRESSURE EFFECTS ON ROUTE AND RATE OF INFILTRATION,
Linden, D.R., and Dixon, R.M.
United States Department of Agriculture, Minnesota University, Department of
Soil Science, Saint Paul, Minnesota.
Soil Science Society of America Journal, Vol. 40, No. 6, p 963-965, November-
December 1976.  3 fig, 7 ref.

Descriptors:  *Infiltration. Soil water. Soil moisture. Soil properties. Soil
investigations. Soils.

One centimeter of 0.1% methylene blue solution was infiltrated into soil with
various constant soil air pressures beneath the wetting surface to measure flow
into and through soil macropores.  Flow was increasingly impeded as soil air
pressure increased from 0 to 5 mbars.  Infiltration rates during the first 3 min
of wetting were decreased by an order of magnitude with 5 mbars of air-back
pressure.


 76:02G-035
 MASS  TRANSFER STUDIES IN SORBING POROUS  MEDIA I.  ANALYTICAL  SOLUTIONS,
 van  Genuchten,  M.  Th.,  and  Wierenga,  P.J.
 Princeton  University, Department of  Agronomy,  Princeton, New Jersey.
 Soil  Science Society  of  America Journal, Vol.  40, No.  4, p 473-480, July-August
 1976.   6  fig,  26  ref.

 Descriptors:   *Mass  transfer,  *Porous media,  *Adsorption, Analytical  techniques,
 Soils,  Soil properties,  Soil  chemistry.  Soil  water movement.

An analytical  solution  is presented for  the movement of chemicals  through  a
 sorbing porous  medium with  lateral  or intra-aggregate  diffusion.   The liquid
phase  in  the porous medium  is  divided into mobile and  immobile  regions.  Diffu-
 sional  transfer between  the two liquid  regions  is assumed to  be proportional  to
the concentration  difference  between the mobile  and  immobile  liquids.   Sorption
processes  in both  the dynamic  and  stagnant regions of  the medium are  assumed  to
be instantaneous  and  the  adsorption isotherm  is  assumed to be linear.   The
analytical model  derived  here  describes  the extensive  tailing observed  during
 flow through an unsaturated,  aggregated  sorbing  medium and explains the often
observed early  breakthrough of chemicals in the  effluent.


76:02G-036
DETERMINATION OF SOIL-WATER DIFFUSIVITY  FOR ANISOTROPIC STRATIFIED SOILS,
Sawhney, B.L.,  Parlange,  J.-Y., and Turner, N.C.
                                               46

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The Connecticut Agricultural Experiment Station,  Department of Soil Chemistry,
New Haven, Connecticut.
Soil Science Society of America  Journal,  Vol.  40,  No.  1,  p 7-9.  January-February
1976.  3 fig, 10 ref.

Descriptors:  *Diffusivity, *Infiltration,  Stratification, Soils,  Soil  investi-
gations, Soil properties.

The unsaturated soil-water diffusivity  of an anisotropic  soil  can  be described
by a second-order tensor.  In  the  particular case  of a stratified  soil,  the
diffusivity tensor  is defined  by the  two values of the diffusivity in the  prin-
cipal directions, one normal and one  parallel  to  the soil layer.   The standard
method of Bruce and Klute then requires the use of two soil columns,  one for
each direction, to  define the  diffusivity tensor.   The present method makes use
of a two-dimensional similarity  solution first derived for an  isotropic  medium
and extended here to a stratified  soil.   It is then possible to  obtain  the
diffusivity tensor  of the stratified  soil from one experiment  only.   As  an
illustration of the method, the  diffusivity tensor of  a mica layer is measured
and the result is used to analyze  infiltration from a  finite trench.


76:026-037
COMPARISONS OF CALCULATED AND  MEASURED  CAPILLARY  POTENTIALS FROM LINE SOURCES,
Thomas, A.W., Duke, H.R., Zachmann, D.W.,  and  Kruse, E.G.
United States Department of Agriculture,  Agricultural  Engineering,  Watkinsville,
Georgia.
Soil Science Society of America  Journal,  Vol.  40,  No.  1,  p 10-14,  January-February
1976.  4 fig, 2 tab, 11 ref.

Descriptors:  *Infiltration, *Subsurface irrigation, Irrigation, Capillary
action. Hydraulic conductivity.  Model studies, Soil moisture.

This paper is a sequel to D.W. Zachmann and A.W.  Thomas'  (1973)  development of
equations describing steady infiltration from  line sources.  Calculated  distri-
butions of capillary potentials  are compared with  those measured in a soil bin
designed to model the water distribution from  a subsurface irrigation system.
Limitations of the  steady-state  equations for  predicting  capillary potentials
are given.  A procedure for selecting lateral  depth and spacing  to attain  a
given matric flux potential is also given.


76:020-038
BULK DENSITY, SATURATION WATER CONTENT  AND RATE OF WETTING OF  SOIL AGGREGATES,
Gumbs, F.A., and Warkentin, B.P.
West Indies University, Department of Soil Science, Trinidad,  West  Indies.
Soil Science Society of America  Journal,  Vol.  40,  No.  1,  p 28-33,  January-
February 1976.  4 fig, 5 tab,  12 ref.

Descriptors:  *Bulk density, *Soil properties. Soils,  Soil investigations,
Porosity, Evaporation, Soil aggregates.  Soil moisture,  Sorption, Infiltration,
Clays, Pores.

Bulk density, degree of saturation, volume increase on wetting,  and  rate of wet-
ting were measured  for aggregated  and clods of Ormstown silty  clay  loam
(Humaquept) of sizes from 5 cm to  0.036  cm diameter.   Bulk density  increased
with a decrease in  diameter.   For  2.2-mm to 0.36-mm diameter aggregates  this
increase was due to a surface  area effect,  i.e.,  loss  in  porosity  as  a result
of subdividing larger aggregates.  Both  surface area effects and increased
porosity from root'channels and  fissures  were  required to  explain  the increase
for clods between 5 and 1 cm diameter.   An evaporation and a sorption technique
are described and used to estimate the water content of aggregates  at saturation,
i.e., the intra-aggregate water  content.   The  evaporation  technique  gave reli-
able results at specific rates of evaporation,  but  the  sorption technique was
not as useful.  Clods and aggregates  of  the soil and of pumice samples did not
fully saturate; entrapped air  accounted  for 25 to  27%  of  the total  pore  volume.
Aggregates of 1 and 2.2 mm diameter and  clods  of  1.0 and  5.0 cm  diameter took
about 1, 1.7, 45, and 1,000 seconds,  respectively,  to  saturate.  This rapid wet-
ting would minimize differences  in potential between inter-and intra-aggregate
water during infiltration.
                                              47

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76:02G-029
SOIL-HEAT FLUX DETERMINATION:  TEMPERATURE GRADIENT METHOD WITH COMPUTED THERMAL
CONDUCTIVITIES,
Kimball, B.A., Jackson, R.D., Nakayama, F.S., Idso, S.B., and Reginato, R.J.
United States Water Conservation Laboratory, 4331 East Brasdway, Phoenix,
Arizona.
Soil Science Society of America Journal, Vol. 40, No. 1, p 25-28, January-
February 1976.  1 fig, 2 tab, 13 ref.
Descriptors:  *Thermal conductivity, *Heat flow.
Soil properties.
Soils, Soil investigations.
Surface soil-heat fluxes were determined for 6 days in a field of Avondale  loam
using the null-alignment method, the combination method, and four variations of
the temperature gradient method with thermal conductivities computed from the
DeVries' theory for particular reference depths.  For all methods, calorimetry
was used to obtain the surface flux from the flux determined for the reference
depth.  There was 10% or less difference between the null-alignment, combination,
and temperature gradient methods for a 20-cm reference depth.  However, the
difference with respect to the null-alignment method increased to 35% for a 5-cm
reference depth when DeVries' theory was closely followed.  This difference
was reduced to 3% when a modified air shape factor was used in the computations
and all vapor movement was ignored.  We concluded that the temperature gradient
method with conductivities computed from DeVries' theory could be reliably
used with a 20-cm reference depth, but that a "calibration" of the theory for
a particuulr soil should be obtained before the method is used with a 5-cm
reference depth.


76:02G-040
COMPARISON OF FIELD-MEASURED AND CALCULATED SOIL-HEAT FLUXES,
Kimball, B.A., Jackson, R.D., Reginato, F.S., Nakayama, F.S., and Idso, S.B.
United States Water Conservation Laboratory, 4331 East Broadway, Phoenix,
Arizona.
Soil Science Society of America Journal, Vol. 40, No. 1, p 18-25, January-
February 1976.  5 fig, 1 tab, 32 ref.

Descriptors:  *Soil temperature, *Thermal conductivity, *Heat flow, Soils, Soil
investigations. Water vapor. Temperature, Soil water movement.

Soil-heat fluxes calculated using DeVries' theory (1958, 1963) were compared
with those experimentally determined in a field of Avondale loam at Phoenix,
Arizona, on 6 days representing different seasons of the year.  A fair agree-
ment between measured and computed fluxes was obtained only after modifying the
air shape factor curve and ignoring heat transfer due to water vapor movement.
The omission of the latter implied that heat transfer by pure conduction was
most important and that thermal and isothermal vapor fluxes exactly cancelled
during the day and were insignificant at night.  "Measured" thermal conductiv-
ities were also determined from the ratio of the measured heat fluxes to the
corresponding temperature gradient for those times when it was unlikely that
isothermal vapor movement was significant.  The lack of a temperature dependence
in these data, as well as the flux comparisons, strongly indicate that the
theory over estimated thermal vapor movement.  These data plus others in the
literature indicate that an individual "calibration" of the theory for a parti-
cular soil is required before reliable predication of soil-heat flux can be
obtained.


76:02G-041
SOIL MOISTURE FLUX AND EVAPOTRANSPIRATION DETERMINED FROM SOIL HYDRAULIC
PROPERTIES IN A CHAPPARAL STAND,
Scholl,  D.G.
Rocky Mountain Forest and Range Experiment Station,  5423 Federal Building,
517 Gold Avenue Southwest,  Albuquerque, New Mexico.
Soil Science Society of America Journal, Vol. 40, No. 1, p 14-18, January-
February 1976.   3 fig, 1 tab, 11 ref.

Descriptors:   *Soil moisture, *Soils, *Soil properties, *Evapotranspiration,
                                              48

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Model studies, Water balance,  Overland  flow.  Soil  water movement,  Hydraulic
conductivity -

Measurements of rainfall, overland  flow,  soil moisture, and hydraulic  properties
were obtained from a sloping  plot in a  chaparral  stand.  The moisture   character-
istic and dynamic conductivity were determined from core samples  of  several  soil
layers to a depth of 420  cm.   A water balance model requiring the  above para-
meters and a Darcian moisture flux  analysis was used to predict drainage below
the root zone and loss  by evapotranspiration.  Daily results of the  water
balance were summarized during 2 water  years.  Predicted values agreed well  with
values measured on a nearby watershed during  both  years—the first an  unusually
dry year, the second unusually wet.


76:020-042
METHYLATION OF MERCURY  IN AGRICULTURAL  SOILS,
Rogers, R.D.
United States Environmental Protection  Agency, Office of Research  and  Develop-
ment, Soil Microbiology,  Las  Vegas, Nevada.
Journal of Environmental  Quality, Vol.  5,  No. 4, p 454-458,  October-December
1976.  7 tab, 24 ref.

Descriptors:  Agricultural  soils, Mercury,  Soil texture, Soil moisture,  Soil
temperature, Soils, Soil  investigations.

Methylation of applied  divalent mercury ion was found to occur in  agricultural
soils.  The production  of methylmercury was affected by soil texture,  soil
moisture content, soil  temperature, concentration  of the ionic mercury amend-
ment, and time.  Methylation  was directly proportional to clay content,  moisture
content, temperature, and mercury concentration.   After an initial build-up  of
methylmercury in the soil,  there appeared to  be a  mechanism that  decreased
the methylmercury content with increasing time.


76:020-043
NITRATE-NITROGEN MOVEMENT THROUGH SOIL  AS AFFECTED BY SOIL PROFILE CHARACTER-
ISTICS,
Devitt, D., Letey, J.,  Lund,  L.J.,  and  Blair, J.W.
California University,  Department of Soil Science  and Agricultural Engineering,
Riverside, California.
Journal of Environmental  Quality, Vol.  5,  No. 3,  p 283-288,  July-September
1976.  4 fig, 2 tab, 14 ref.

Descriptors:  *Nitrogen,  Soil investigations, Manganese, Chlorides,
Denitrification, Leaching,  Irrigation practices.

The contribution of agricultural practices to pollution of ground  and  surface
waters by nitrogen is not completely known.  Six  tile systems installed on
commercial farms with differing soil profile  characteristics were  selected
for investigation.  Soil  solution samples were extracted from 61-, 91-,  122-,
and 183-cm depths and analyzed for  nitrate-nitrogen, manganese, and  chloride
concentrations, and electrical conductivity.   Redox potential measurements were
made at 91-and 183-cm depths.  Tensiometers were  installed at 61-, 91-,  and  122-
cm depths to measure hydraulic gradients.   Tile effluent samples were  also
collected and analyzed.  Data on redox  potential,  manganese concentrations,  and
nitrate-nitrogen concentration and  movement were  dependent on water  movement
and amounts of nitrate  available for leaching. Irrigation management  to provide
low leaching fraction resulted in relatively  higher nitrate-nitrogen concentra-
tion in the tile effluent but smaller amounts of  total nitrate lost  as compared
to irrigation management  for  high leaching fractions.  Redox potentials and
the chloride to nitrate-nitrogen ratios indicated  that subsurface  layers of
high clay content promote denitrification.  With  one exception, a  smaller
fraction of the applied nitrogen was lost in  the  tile effluent from  profiles
containing layers of high clay content  as compared to the coarse-textured
profiles.
                                               49

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76:02G-044
INFLUENCE OF PESTICIDES ON DENITRIFICATION IN SOIL AND WITH AN  ISOLATED
BACTERIUM,
Bollag, J.-M., and Henninger, N.M.
Pennsylvania State University, Department of Soil Microbiology, University
Park, Pennsylvania.
Journal of Environmental Quality, Vol. 5, No. 1, p 15-18, Jamuary-March  1976.
2 fig, 3 tab, 8 ref.

Descriptors:  *Pesticides, *Denitrification, Insecticide, Inhibition, Fungicides,
Herbicides, Anaerobic conditions.

Various pesticides were tested for their influence on the denitrification
process in soil and on an isolated denitrifying bacterium.  In  soil  the  denitri-
fying activity was essentially inhibited by the fungicides captan, maneb,  nabam,
and to a lesser extent by the herbicide 2,4-D.  In pure culture-studies  with
a bacterium whose end product in denitrification was nitrous oxide,  the  fungi-
cides also caused strong, inhibition of the respiratory nitrate  reduction process;
the insecticide carbaryl, the phenylurea herbicides, 2,4-D and propham  (isopropyl
carbanilate) also functioned as inhibitors, but to a lesser extent.  It  was of
special interest to observe that the inhibition by certain perticides influenced
the formation rate of nitrite and sometimes prevented the reduction  of accumula-
ted nitrite during incubation under anaerobic conditions.


76:020-045
FATE OF FERTILIZER NITROGEN IN A FLOODED RICE SOIL,
Patrick, W.H. Jr., and Reddy, K.R.
Louisiana State University, Laboratory of Flooded Soils and Sediments, Depart-
ment of Agronomy, Louisiana Experiment Station, Baton Rouge, Louisiana.
Soil Science Society of America Journal, Vol. 40, No. 5, p 678-681,  September-
October 1976.   3 fig, 4 tab, 11 ref.

Descriptors:  *Rice, *Fertilization, Nitrogen, Nutrients, Soil  investigations,
Flood  irrigation, Irrigation effects. Irrigation.

In order to improve the efficiency of fertilizer N utilization by rice,  it is
important to know what happens to N applied to the soil.  Field experiments
utilizing N15-enriched ammonium sulfate were carried out to determine the  fate
of fertilizer N  (100 kg N/ha) applied to Crowley silt loam soil.  The distri-
bution of fertilizer N in the plant-soil system at harvest time was  determined
using  2.32 sq m plots.  The distribution of fertilizer N in the plant-soil-
floodwater system at six times during the growing season was measured in smaller
plots  (0.28 sq m).  The results from the larger plots showed that fertilizer N
recovered in the grain ranged from 30.9 to 37.3 kg N/ha depending on the method
of application.  Recovery of fertilizer N in the straw ranged from 18.2  to 24.2
kg N/ha.  A considerable portion of fertilizer N (24.2 to 27.1 kg N/ha)  remained
in the soil  (including roots) after cropping.  Total recovery of the 100 kg/ha
addition of labelled fertilizer N in the soil-plant system was  75.0  to 85.6 kg
N/ha for the different methods of N application examined.  Experiments using the
smaller 0.28 sq m plots showed rapid uptake of fertilizer N immediately  after
application, with no apparent further uptake after about 3 weeks.  Soil  N  was
the major and perhaps sole source of N for the plant during the last part  of the
growing season.


76:02G-046
NITRIFICATION-DENITRIFICATION REACTIONS IN FLOODED SOILS AND WATER BOTTOMS:
DEPENDENCE ON OXYGEN SUPPLY AND AMMONIUM DIFFUSION,
Patrick, W.H. Jr.,  and Reddy, K.R.
Louisiana State University, Louisiana Agricultural Experiment Station, Depart-
ment of Agronomy, Baton Rouge, Louisiana.
Journal of Environmental Quality, Vol. 5, No. 4, p 469-472, October-December
1976.   5 fig, 10 ref.

Descriptors:   *Nitrogen, *Denitrification, Oxygen, Anaerobic, Aerobic, Soils,
Soil investigations. Nitrate.

Ammonium nitrogen in a flooded soil or water bottom exposed to oxygen from the
                                              50

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water column undergoes  sequential  nitrification and denitrification.   Oxygen
moving through the overlying water column causes the development of an aerobic
surface layer'of soil or  sediment.  Ammonium in this aerobic surface  layer is
nitrified and the resulting ammonium concentration gradient across the aerobic
layer and the underlying  anaerobic layer causes ammonium in the anaerobic layer
to diffuse upward into  the aerobic layer where it also undergoes nitrififation.
Nitrate produced in  the aerobic layer then diffuses downward into the anaerobic
layer where it is denitrified  to N2 and N20.  Nitrate derived from ammonium
nitrogen in the aerobic layer  appears as an intermediate product in the nitrifi-
cation-denitrification  reaction.  A laboratory experiment utilizing N-15 as a
tracer showed that approximately one-half of the nitrogen involved in the
nitrification-denitrification  process was ammonium originally present in the
surface aerobic soil or water  bottom layer with the remainder diffusing up from
the underlying anaerobic  layer. Where oxygen was absent or limiting, nitrifi-
cation either did not occur or occurred at a lower rate, resulting in a reduced
amount of nitrate available for the denitrification process.


76:02G-047
NITRATE LEAKAGE FROM SOILS  DIFFERING IN TEXTURE AND NITROGEN LOAD,
Avnimelech, Y., and  Raven,  J.
Israel Institute of  Technology, Soils and Fertilizers Laboratory, Technion,
Haifa, Israel.
Journal of  Environmental  Quality,  Vol. 5, No. 1, p 79-82, January-March 1976.
1 fig, 1  tab,  10 ref.

Descriptors:   *Nitrogen,  *Nitrate, *Chloride, Soil profile. Soil texture, Clay
soils, Leaching, Denitrification,  Soil investigations, Soils.

Nitrogen  and  chloride distribution in soil profiles underlying plots differing
in the nitrogen  load and  soil  type were studied in the coastal plain of Israel.
Nitrate leakage was  defined as the product of the average nitrate concentration
in subsoil  solution  times the  annual water recharge.  A large portion of the
excessive nitrogen   (nitrogen  load  minus nitrogen uptake by the removal crop)
was not recovered.!  This  portion is high for clay soils and for plots receiving
high nitrogen dressings.   Changes  in the N03/C1 ratio along the soil profile
coincided with nitrate  removal.  This data supports the hypothesis that nitrate
removal is  mainly  due to  denitrification in the top layer of the soil.


 76:026-048
THE INFLUENCE OF APPLIED  PHOSPHORUS, MANURE, OR LIME ON UPTAKE OF LEAD FROM SOIL,
 Zimdahl,  R.L.,  and  Foster,  J.M.
Colorado  State University,  Department of Botony and Plant Pathology,  Fort
Collins,  Colorado.
Journal of  Environmental  Quality,  Vol. 5, No. 1, p 31-34, January-March 1976.
 3 tab,  17 ref.

Descriptors:   *Lead, *Corn,  *Phosphorus, Lime, Heavy metals, Soil investigations,
Translocation,  Soils.

Studies of  the uptake of  lead  from soil by corn have shown that soil  applica-
tions of  phosphorus  (Ca(H2P04)2 H20) decrease uptake, but translocation was
affected  and  at  higher  lead levels.  Lead uptake decreased when cow manure
was added to  attain  a total organic content of 6%, but there was no effect of
additional  manure.   Liming  did not have a consistent effect on uptake, but lead
translocation appeared  to decrease with liming.  The addition of phosphorus
was not an  agronomically  feasible  way to reduce the effects of lead contamina-
tion, but additions  of  manure  and  lime offered promise of reducing lead uptake.


76:02G-049
USE OF THE  GREEN-AMPT EQUATION WITH VARIABLE CONDUCTIVITY,
Ahuja, L.R.,  and Tsuji, G.Y.
Hawaii University,  Department  of Agronomy and Soil Science, Honolulu, Hawaii.
Soil Science  Society of America Journal, Vol. 40, No. 4, p 619-622, July-
August  1976.   2  fig, 13 ref.

Descriptors:   Infiltration,  Hydraulic conductivity, Soil water, Soil  water
movement, Hawaii.
                                               51

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 A comparison with Philip's two-term equation, derived from a series solution
 involving t(l/2), indicates that the hydraulic conductivity in the Green-Ampt
 equation of vertical infiltration varies with time when the soil water content
 of the transmission zone is assumed to be constant.  Use of the Green-Ampt
 equation with a continuously variable conductivity or a piecewise application
 of the equation as an extension of Philip's two-term equation resulted in
 improved prediction of infiltration in two Hawaii soils.  Both these  forms of
 application require three parameters, hydraulic conductivity, sorptivity, and
 constant A, which have well-established physical meaning.


76 :02G-050
TRANSIENT MOVEMENT OF WATER AND SOLUTES IN UNSATURATED SOIL SYSTEMS, PHASE II,
Evans, D.D., Sarnmis, T.W. , and Warrick, A.W.
Arizona University, Department of Hydrology and Water Resources.
Available from the National Technical. Information Service, Springfield, Virginia
as PB-261 348, Price codes:  A03 in paper copy, A01 in microfiche.  Completion
Report, September 1976.   40 p, 14 fig, 9 tab, 12 ref.  OWRT B-040-ARIZ(1).
14-31-0001-4059.

Descriptors:  *Unsaturated flow, *Tritium, *Soil water movement, *Arizona,
*Solutes, Deep percolation, *Seepage, Methodology, Salts, Aquifers, Water
quality, Pollutant identification, Darcy's Law.

This project yielded results on the movement of water and solutes from beneath
the root zone to a water  table aquifer in an irrigated area near Phoenix, Arizona.
Three methods were explored for estimating deep seepage rates.  They were:  (1)
measurement of the hydraulic conductivities and gradients and by Darcy's equation
calculating the seepage rate; (2) measurement of the temperature profile and
calculating the seepage rate from the shape of the profile curve; and  (3) measure-
ment of the tritium concentration of the soil water and relating it to the
history of the tritium concentration of precipitation.  The different methods were
used at one site where a  deep well was drilled to obtain samples, but the temper-
ature-profile method was  tried at other locations.  Errors are involved in all
of the methods so results differed.  At the principal site of the study the
Darcian velocity estimate  (volume of flow per unit area per unit time)  ranged
from 9 to 38 cm/yr, while the actual velocity estimate (pore velocity)  ranged
from 57 to 130 cm/yr.  The results from other sites indicated an even lower
rate of seepage.  The solute concentration of the soil water was higher than the
aquifer water but, at the one site, the effect of salts in the seepage water
should not significantly  alter the quality of the aquifer water.


76:02G-051
INFLUENCE OF CATION CONTENT ON THE BIOLOGICAL ACTIVITY OF FENSULFOTHION IN
PLAINFIELD SAND,
Harris, C.R., and Bowman, B.T.
Research Institute, Agriculture Canada, University Sub Post Office, London,
Ontario, Canada.
Soil Science Society of America Journal, Vol. 40, No. 3, p 385-389, May-June
1976.  2 fig, 1 tab, 39 ref.

Descriptors:  *Cations, *Cation adsorption, *Insecticides, Soils, Soil investi-
gations.

A study was conducted to  assess the influence of cations on the biological
activity of the organophosphorus insecticide, fensulfothion in soil.  Bioassays
were done using first stage crickets as test insects and a Plainfield sand
without and amended with  various concentrations of reagent chloride salts of
NH(4+), K(+), Ca(2+), Fe(3+), and Al(3+).  The toxicity of fensulfothion
decreased with increasing cation content, with the effect being most pronounced
with trivalent >divalent  > monovalent cations.  Results of the bioactivity
study paralleled those of an earlier adsorption study on fensulfothion-cation
montmorillonite suspensions.


76:02G-052
ERROR PROPAGATION IN DETERMINING HYDRAULIC CONDUCTIVITIES FROM SUCCESSIVE WATER
CONTENT AND PRESSURE HEAD PROFILES,
                                              52

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Fluhler, H., Ardakani, M.S.,  and  Stolzy,  L.H.
California University, Department of  Soil Physics,  Riverside,  California.
Soil Science Society of America Journal,  Vol.  40, No.  6,  p  830-836,  November-
December 1976.  7 fig, 14  ref.

Descriptors:  *Hydraulic conductivity,  Darcy's Law,  Soil  water,  Soil water  move-
ment, Monte Carlo method,  Soil investigations.

The flux of water in unsaturated  soils  can be  determined  indirectly  by  using
Darcy's Law.  The critical part of this approach is  the determination of the
hydraulic conductivity at  a given depth and time.   In  this  paper the relative
errors of hydraulic conductivities determined  from  a transient drainage field
experiment are analyzed.   Knowing the errors of this method would be useful in
planning future experiments.   It  allows putting limitations on the conclusions
to be drawn _from such experiments and it further allows re-examination  of already
published field data.  In  the wet range of the conductivity function errors are
20-30% of the k-value.  In the range  where k-values  are small, the relative
errors may be > 100%.  Errors stemming  from tensiometer readings are significant
when the hydraulic gradient is <  0.3  mbar .  cm(-l).  During the  early stage of
the transient drainage experiment these errors are  always considerable  and  are
more important than other  errors.   On the other hand,  the errors in  the measured
water content changes are  dominant when drainage is  slowed  down  due  to  desatur-
ation of the soil.


76:02G-053
PICLORAM DEGRADATION IN SOILS AS  INFLUENCED BY SOIL  WATER CONTENT AND TEMPERATURE,
Guenzi, W.D., and Beard, W.E.
United States Department of Agriculture,  Department  of Soil Science.
Journal of Environmental Quality,  Vol.  5, No.  2, p  189-192, April-June  1976.
2  fig, 5 tab, 16 ref.

Descriptors:  *Pesticides, *Herbicides, Laboratory  tests, Temperature,  Soil
investigations. Soils, Field capacity,  Pesticide residues,  Microbial degradation.

A  laboratory experiment was designed  to determine the  effect of  temperature and
alternating incubations at field  capacity and  during drying periods  on  the
degradation of picloram in five  soils.   Picloram was added  at  a  rate of 10  ppm,
and degradation was measured by  (C-14)  02 evolution  resulting  from the  cleavage
of the labeled carboxyl carbon.   Picloram degraded  very little at 5C-and
increased only slightly up to 25C. Three soils were highest in  degradation
rates at 30C while two soils were highest at 50C.   Picloram degradation rates
during 20-day incubation periods  at field capacity,  interrupted  with 16-day
drying cycles, varied among soils and decreased after  each  successive drying
cycle at 30 and 50C, except for  one soil at 50C. The  degradation rate  decreased
gradually as water content decreased  from field capacity  (approximately 0.33 bar)
to 15 bars tension, and ceased after  the soils were  air dried.


76:02G-054
DEGRADATION OF A NONIONIC  SURFACTANT  IN SOILS  AND PEAT,
Valoras, N., Letey, J., Martin,  J.P,  and Osborn, J.
California University, Department of  Soil Physics,  Riverside,  California.
Soil Science Society of America  Journal,  Vol.  40, No.  1,.  p  60-63,  January-
February 1976.  3 fig, 4 tab, 7  ref.

Descriptors:  *Surfactants, Soil  water  movement. Soils, Soil investigations,
Soil properties. Peat, Adsorption, Soil moisture. Organic matter.  Water pollu-
tion, Water quality.

Nonionic surfactants are used to  improve water movement into water-repellent
soils.  The effective longevity  of treatment and potential  water pollution  are
affected by surfactant degradation.   Degradation of  C-14-labeled Soil Penetrant
3685, a nonionic surfactant,  was  measured in incubation studies  in the  labora-
tory.  Three soils and one peat,  numerous surfactant concentrations,  and two
soil-moisture levels were  used as experimental variables.  Plots of  degradation
percentage versus time produced  "S" type curves. Increasing the concentration
increased the lag period prior to most  rapid degradation.  The most  rapid and
highest percentageof degradation  were generally associated  with  soil materials
                                               53

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having the lowest adsorptive capacity for the surfactant.  From about  75  to  85%
of the C-14 was evolved as  (C-14) 02 in 1 year for the most favorable  conditions
for degradation.  Degradation rate was decreased by decreasing the  soil-moisture
content.  Degradation of soil organic matter was not greatly affected  by  surfact-
ant applications--< about 10,000 ppm, but progressively decreased with higher
surfactant concentrations.


76:02G-055
SIMULTANEOUS TRANSPORT OF NITRATE AND GASEOUS DENITRIFICATION PRODUCTS IN SOIL,
Rolston, D.E., and Marino, M.A.
California University, Department of Land, Air, and Water Resources, Davis,
California.
Soil Science Society of America Journal, Vol. 40, No. 6, p 860-865, November-
December 1976.  5 fig, 2 tab, 17 ref.

Descriptors:  Fertilizer, Fertilization, Nitrates, Denitrification, Soil  proper-
ties, Soil investigations, Soil water, Soil water movement. Leaching.

A pulse of N03{-) fertilizer tagged with N-15 was applied to 100 cm long  Yolo
loam  (Typic xerorthents) topsoil and subsoil columns maintained uniformly
unsaturated at soil-water pressure heads between 20-: and 140- cm of water at
soil-water fluxes between 1.0 and 0.1 cm day(-l).  Nitrate, molecular  nitrogen,
and nitrous oxide from the applied fertilizer were measured as a function of soil
depth and time until the N03(-) pulse eluted from the column.  An analytical
solution describing the transport and transformation of N03(-) was  used to
determine values for the first-order denitrification rate constants within the
columns.  A numerical solution of the coupled equations for transport  and
transformation of N03(-) and diffusion of the gaseous denitrification  products
was compared with measured N2 and N20 concentration profiles within columns.
The gaseous concentration profiles were very much dependent upon values of the
denitrification rate constant and the soil gaseous diffusion coefficient.  Values
of the  soil gaseous diffusion coefficient, more than an order of magnitude small-
er than those values measured in the upper part of the column, were required to
approximately fit the numerical solution to the measured gas concentration
profiles.


76:020-056
AMMONIUM DIFFUSION AS A FACTOR IN NITROGEN LOSS FROM FLOODED SOILS,
Reddy, K.R., Patrick, W.H. Jr., and Phillips, R.E.
Louisiana State University, Department of Agronomy, Baton Rouge, Louisiana.
Soil Science Society of America Journal, Vol. 40, No. 4, p 528-533, July-August
1976.  6 fig, 2 tab, 36 ref.

Descriptors:  *Nitrogen, *Leaching, Nitrification, Denitrification, Soil
investigations, Ammonium compounds. Anaerobic conditions, Aerobic conditions.

The role of NH4(+)-N diffusion in a flooded soil on nitrogen (N) loss  through
the nitrification-denitrification process was investigated under laboratory
conditions.  The distribution of applied NH4(+)-N in both the aerobic  and  anaer-
obic soil layers of a flooded soil was experimentally determined and compared with
the values obtained from theoretical equations.  The total loss of  NH4(+)-N from
the flooded soil system (15cm depth)  by nitrification-denitrification was
equivalent to 12.43 g N/sq m for a 120-day incubation period when the  initial
concentration of NH4(+)-N was 44.84 g N/sq m.  Diffusion of NH4(+)-N from the
anaerobic soil layer to the aerobic soil layer accounted for more than 50%
(7.16 g N/sq m)  of the total NH4(+)-N loss with the remainder being lost  from
NH4(+)-N originally present in the aerobic layer.  The NH4(+)-N that diffused
upward into the aerobic soil layer was nitrified to N03(-)-N, which readily dif-
fused back down into the anaerobic soil layer and was subsequently  denitrified.


76:02G-057
SAMPLING THE UNSATURATED ZONE OF IRRIGATED LANDS FOR RELIABLE ESTIMATES OF
NITRATE CONCENTRATIONS,
Rible, J.M.,  Nash,  P.A., Pratt, P.F., and Lund, L.J.
California University, Department of Soil Science, Riverside, California.
Soil  Science Society of America Journal, Vol. 40, No. 4, p 566-570, July-August
                                              54

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1976.  5 fig, 5 tab, 9 ref.

Descriptors:  *Nitrate,  *Nitrogen,  Soils,  Soil  properties.  Soil  investigations.

Data from a study of 56  field  sites were used to  examine the  variability  of
nitrate-nitrogen concentrations  in  the  unsaturated zone  underneath the  root  zone.
The specific data were nitrate-nitrogen concentrations in soil water  in samples
taken at 0.9-m intervals  from  the 4.5-  to  11.9-m  depth from four holes  per site.
Analyses of variance of  these  data  provided  estimates of variances that were
used to predict the depth sampling  interval  and the number of holes required for
means to be within the confidence limits of  10, 20, and  30%.  Calculations
were based on sampling intervals of 0.9, 0.6, and 0.3 m  providing 9,  13,  and
26 samples per hole, respectively.  Relationships  developed between number of
sites, number of holes required, sampling  interval, and  confidence limits were
used to test selected sampling plans  for degree of precision  in  comparison with
the actual sampling procedure.   A cost  analysis of the field  study indicated that
it would cost three to four  times more  than  the field study to use a  sampling
plan which would reasonably  ensure  that 75%  of  the sites'  true means  fall within
20% of the measured means at a confidence  level of 95%.


76:02G-058
EVALUATION OF THE PARAMETERS OF  SOIL  PHOSPHORUS AVAILABILITY  FACTORS  IN PREDICT-
ING YIELD RESPONSE AND PHOSPHORUS UPTAKE,
Dalai, R.C., and Hallsworth, E.G.
New England University,  Department  of Agronomy  and Soil  Science,  Armidale,
New South Wales, Australia.
Soil Science Society of  America  Journal, Vol. 40, No. 4, p 541-546, July-August
1976.  1 fig, 5 tab, 37  ref.

Descriptors:  *Phosphorus, Nutrients, Crop production, Crop response, Wheat.

The  importance of quantity,  intensity,  capacity,  and rate factors of  soil P
availability to account  quantitatively  for the  variation in P uptake  and  wheat
grain yield in pot and field experiments was studied.  Among  the parameters  of
the quantity factor, L value was found  to  be highly correlated with P uptake at
35 and 150 days after planting (maturity)  when  all the soils  were considered.
However, the carbonate P was found  to be the best parameter of the quantity
factor when the s6ils containing high amounts of  hematite/goethite were excluded.
The parameters of the intensity  factor  were  significantly correlated with P
uptake at the later stage (150 days).  The rate factor,  as measured by  AER was
better correlated with P uptake  at  35 days than with P uptake at 150 days after
planting.  The quantity  factor as measured by the carbonate P accounted for  75
and  93% of the variation in  P  uptake  and grain  yield, respectively. The  capacity
factor, Mb when combined with  the quantity factor accounted for  more of the
variation in p uptake  (150 days) from 75 to  86%.   The intensity  and the rate
factors had a smaller effect.


76:02G-059
CHANGES IN THE PHYSICAL  PROPERTIES  OF SOIL CLAYS  DUE TO  PRECIPITATED ALUMINUM
AND  IRON HYDROXIDES:  II. COLLOIDAL INTERACTIONS  IN THE  ABSENCE  OF DRYING,
El-Swaify, S.A.
Hawaii University, Department  of Soil Science,  Honolulu, Hawaii.
Soil Science Society of  America  Journal, Vol. 40, No. 4, p 516-520,July-August
1976.  6 fig, 13 ref.

Descriptors:  *Clays, *Flocculation,  Soils,  Soil  properties,  Soil investigations.
Soil chemistry, Soil chemical  properties.

Colloidal stability diagrams were constructed for suspensions of an illite,  a
kaolinite, and a mixture of  the  two into which  A1(OH)3 and Fe()H)3 were precipi-
tated.  These diagrams covered a pH range  form  2.5 to 12.5 and electrolyte
concentrations up to the flocculation value. It  was revealed, in accordance
with expected interactions of  colloids  with  widely different  isoelectric  points,
that the colloidal stability of  each  mixture was  dependent on the charge  balance
between its individual constituents.  Therefore,  as long as a system has  not
encountered a drying cycle,  hydroxides  may provide favorable  (flocculating)  or
non-favorable  (colloidally stable)  effects on soil structure  depending  on hydrox-
                                               55

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 associated.   Generally,  the two hydroxides provided equal enhancement of clay
 colloidal  stability  above their isoelectric points.  However, A1(OH)3 was more
 active  in  inducing clay  flocculation and charge reversal at low pH values.


 76:02G-060
 UPTAKE  OF  CADMIUM BY SOYBEANS  AS INFLUENCED BY SOIL CATION EXCHANGE CAPACITY,
 PH,  AND AVAILABLE PHOSPHORUS,
 Miller,  J.E.,  Hassett, J.J., and Koeppe,  D.E.
 Argonne National  Laboratory, Argonne,  Illinois.
 Journal of Environmental Quality,  Vol.  5,  No.  2,  p 157-160, April-June 1976.
 1  fig,  5 tab,  21  ref.

 Descriptors:   *Cadmium,  Cation exchange,  Phosphorus,  Greenhouses,  Heavy metals.

 The  accumulation  of  cadmium and its  affect on  vegetative growth of soybeans in
 soils with a  range in cation exchange  capacity (CEC),  pH and available phosphorus
 (P)  were investigated in greenhouse  experiments.   Cadmium uptake decreased as
 soil pH and CEC increased,  while increasing available  soil P was related to
 increased  Cd  accumulation.   Cadmium  extracted  from the soil by Bray PI reagent,
 Bray P2 reagent,  2N  MgC12,  and 0.1N  EDTA was significantly correlated with plant
 Cd concentrations.   The  growth of  the  soybean  shoots was generally depressed
 when tissue concentrations  reached 3-5  micro g Cd/g dry weight.   Cadmium uptake
 by soybeans was correlated  with the  ratio  of added Cd  to the Cd sorptive capacity
 of soil.

 76:026-061
 NITRITE DECOMPOSITION IN FLOODED SOIL  UNDER DIFFERENT  PH AND REDOX POTENTIAL
 CONDITIONS,
 Van  Cleemput,  O., Patrick,  W.H.  Jr., and Mcllhenny, R.C.
 Louisiana  State University,  Louisiana  Agricultural Experiment Station,
 Department of Agronomy,  Baton  Rouge, Louisiana.
 Soil Science  Society of  America Journal, Vol.  40,  No.  1,  p 55-60,  January-
 February 1976.  4 fig, 3 tab,  32 ref.

 Descriptors:   Soils,  Soil investigations.  Soil properties,  Soil  chemistry,
 Nitrites,  Sterilant,  Soil sterilants.

 Nitrite decomposition products were  studied in a  flooded soil suspension
 maintained under  different  pH  and  redox potential  conditions.   The effect of a.
 sterilant, HgC12, on nitrite breakdown  was  also investigated.   Soil suspensions
 were incubated for  several  days with  the  pH maintained at 4.5,  6,  and  8 and
 the  redox  potential  maintained at  0  and +200 mV.   Nitrite was then added to the
 suspensions and the  decomposition  products  were determined by mass spectrometry.
 Under acid conditions  signigicant  amounts  of N2 and nitrogen  oxide gases (N20,
 NO)  were formed in both  the moderately  reduced (+200 mV)  and  reduced (0  mV)
 suspensions.   At  higher  pH's the nitrite reduction rate was slightly less and
 the  amounts of  nitrogen  oxide  gases  formed  were considerably  less  with N2 being
 the  major  product.   The  chemical sterilant  decreased the  conversion of nitrite
 to N2 and  markedly increased the formation  of  NO.   The  significant production of
 NO under acid  conditions both  with and  without the sterilant,  suggests the
 likelihood of  self-decomposition of nitrous acid as a major mechanism of nitrite
 loss.


 76:02G-062
 RELEASE  OF  CADMIUM FROM  CLAYS  AND  PLANT UPTAKE OF  CADMIUM FROM SOIL AS AFFECTED
 BY POTASSIUM AND  CALCIUM AMENDMENTS,
 Haghiri, F.
 Ohio Agricultural Research and Development  Center, and  the  Ohio  State University,
 Wooster, Ohio.
 Journal  of Environmental Quality, Vol.  5, No.  4, p 395-397, October-December
 1976.  2 tab,  11  ref.

 Descriptors:  *Cadmium,  *Potassium, Clays,  Calcium, Kaolinite, Illite, Soybeans,
 Heavy metals,  Soil amendments.

The effects of percent K and/or Ca saturation  on the release  of  Cd  from  Cd-treated
H-clays  (kaolinite and illite)  and on the Cd availability  to  plants  from Cd-
                                              56

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treated Canfield silt loam  soil were  determined.   The concentration of  Cd  in the
dialyzates from both kaolinite and  illite  clays  increased  as  the  percent Ca  or
K saturation of the clays in  the  suspension decreased.   The release of  Cd  from
both clays was greater  in the presence  of  Ca than K.   In a separate experiment,
the concentration of Cd in  soybean  shoots  (Glycine max L.  Merr.)  "Corsoy"
decreased with increasing percent Ca  or K  saturation  of the soil.   The  results
indicated that Cd uptake by soybean shoots could be impaired  to a great extent
by K application.


76:020-063
SOLUBILITY AND SOLUBILITY PRODUCT OF  DICALCIUM PHOSPHATE DIHYDRATE IN AQUEOUS
SOLUTIONS AND SOIL SOLUTIONS,
Bennett, A.C., and Adams, F.
Auburn University Agricultural Experiment  Station, Department of  Soils, Auburn,
Alabama.
Soil Science Society of America Journal, Vol.  40,  No.  1, p 39-42,  January-
February 1976.  3 tab,  10 ref.

Descriptors:  *Phosphates,  Soils, Soil  investigations,  Soil properties,
Solubility.

The solubility product  (Ca(2+)) of  CaHP04  .  2H20 was  determined in several
aqueous solutions containing  ions common to soil solutions.   Extrapolation of
analytical Ca and P concentrations  to zero ionic strength  yielded pK(sp) values
ranging from 6.54 to 6.59 and averaging 6.57 for 10 aqueous salt  solutions.  A
method of successive approximation  that computed ionic activity was used to
determine the pK(sp) for three concentrations of 15 different aqueous salt
solutions saturated with CaHP04  . 2H20. Calculated pK(sp)  values ranged from
6.44 to 6.63; the average was 6.55.  Eight soil  samples that  varied widely in
pH and soil-test P were treated with  CaHP04 .  2H20 at rates of 600 to 3,000  ppm
P.  Soil solutions were displaced,  analyzed, and (Ca(2+))  (HPO4(2-)} was
calculated.  Eight of the 20  samples  of soil were considered  to be saturated
with CaHP04  . 2H20  because their (Ca(2+)) (HP04(2-))  values  were approximately
the same as that for similar  aqueous  salt  solutions.   It was  concluded  that  the
presence of excess CaHP04  . 2H20  in soil could be inferred by ion-activity
products of displaced soil  solutions.


76:020-064
AMMONIA VOLATILIZATION  FROM SURFACE APPLICATIONS OF AMMONIUM  COMPOUNDS  ON
CALCAREOUS SOILS:  V. SOIL  WATER  CONTENT AND METHOD OF NITROGEN APPLICATION,
Fenn, L.B., and Escarzaga,  R.
Texas Agricultural Experiment Station,  Texas A and M  Research Center at El Paso
10601 North Loop Road,  El Paso, Texas.
Soil Science Society of America Journal, Vol.  40,  No.  4, p 537-541,  July-August
1976.  2 fig, 1 tab, 14 ref.

Descriptors:  *Nitrogen, Fertilization, Nutrients, Temperature, Ammonia,
Ammonium compounds, Calcareous soils, Soil water.

Ammonia-nitrogen losses from  soils  were dependent on  the existence of sufficient
water solubilization of the applied NH4-compounds. Laboratory data revealed that
NH3 volatilization from (NH4)2S04 was greatly reduced on soils with 55% water
at 12, 22, and 30 degrees C as compared to soils with 30%  water.   Ammonia-
nitrogen losses were the highest  at all temperatures  and nitrogen application
rates when soils contained  13 to  30%  soil  water.   Dry NH4-chemicals did not
dissolve in soils with  0 and  8% soil  water,  therefore,  little NH3 was lost.
Application of a concentrated (NH4)2S04 solution to soils  with 8% water resulted
in near maximum NH3 loss.   This same  solution, when applied to the surface of
an oven dry soil, resulted  in lower losses.   Application of NH4N03 to soils
with 55% water resulted in  lower  NH3  losses when compared  to  soils with 8 to 30%
water.  Soils with 0% water retained  essentially all  applied  NH4(+)-N whether
applied in dry or concentrated liquid form.


76:02G-065
THE INFLUENCE OF CATION EXCHANGE  CAPACITY  AND DEPTH OF INCORPORATION ON AMMONIA
VOLATILIZATION FROM AMMONIUM  COMPOUNDS  APPLIED TO CALCAREOUS  SOILS,
                                               57

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Fenn, L.B., and Kissel, D.E.
Texas A and M Research Center at El Paso, Texas 10601 North Loop  Road,  El  Paso,
Texas.
Soil Science Society of America Journal, Vol. 40, No. 3, p 394-398, May-June
1976.  2 fig, 3 tab, 15 ref.

Descriptors:  *Cation exchange, *Calcareous soils, Soils, Soil properties,- Soil
investigations, Soil chemistry, Model studies.

The objective of this study was to determine the influence of soil cation
exchange capacity (CEC) and depth of incorporation on NH3-N volatilization  from
NH4(+)-N compounds applied to calcareous soil.  This study was conducted in the
laboratory on soils with a wide range of CEC.  An increasing CEC  resulted  in
decreasing NH3 losses.  Ammonium sulfate produced higher soil pH  values and NH3
losses than did NH4N03.  The pH of the soil decreased with increasing NH4NO3
application rates.  With NH4N03, percent NH3(-)N losses increased as the applica-
tion rates increased.  Incorporation of the NH4(+)-compounds into the soil
reduced NH3 losses.  Increasing depths of NH4(+)-incorproation resulted in
reduced NH3 loss.  Losses decreased as the CEC of soil increased.  The effect-
iveness of soil depth in reducing NH3 loss was associated with soil water
content.  Decreasing the soil water increased the effectiveness of soil incor-
poration for reducing NH3 losses.


76:02G-066
COMMENTS ON NITRATE REDUCTION IN UNSATURATED SOIL,
McLaren, A.D.
California University, Department of Soil Biology, Berkeley,  California.
Soil Science Society of America Journal, Vol.  40,  No. 5, p 698-699, September-
October 1976.  1 fig, 12 ref.

Descriptors:  Nitrite, Nitrate, Ions, Soils, Soil investigations, Nitrification.

Cyclic oxidation and reduction of nitrite and nitrate in soil are analyzed  in
terms of first-and zero-order microbial kinetic reactions, respectively.  A
reversible reaction step involving these ions can account for a low, but constant
concentration of nitrate in an unsaturated field soil for long periods or  for
considerable depths in a laboratory soil column.


76:02G-067
RADIAL MOVEMENT OF SATURATED ZONE UNDER CONSTANT FLUX:  THEORY AND APPLICATION
TO THE DETERMINATION OF SOIL-WATER DIFFUSIVITY,
Sawhney, B.L., and Parlange, J.-Y.
Connecticut Agricultural Experiment Station, New Haven,  Connecticut.
Soil Science Society of America Journal, Vol.  40,  No. 5, p 635-639, September-
October 1976.  3 fig, 11 ref.

Descriptors:  Soil water, Soil water movement, Diffusivity, Soils, Soil
investigations. Soil moisture.

A two-dimensional similarity solution yields the soil-water diffusivity of  an
unsaturated soil when the soil water content is measured as a function of  the
distance from the source.  When ponding occurs, the positions of  the saturated
and unsaturated fronts are related to the diffusivity.  If the diffusivity  can
be described with two parameters, it can be predicted from the position of  the
two fronts alone without measuring the moisture profile.  Four experiments  with
a fine sandy loam at two different flow rates were performed to determine  the
diffusivity from the position of the two fronts.   The moisture profile was  then
predicted from the measured diffusivity.  The predictions are in  good agreement
with the observations.


76:02G-068
MICROBIAL FORMATION OF VOLATILE SELENIUM COMPOUNDS IN SOIL,
Doran, J.W., and Alexander, M.
Cornell University, Department of Agronomy, Ithaca, New York.
Soil Science Society of America Journal, Vol.  40,  No. 5, p 687-690, September-
October 1976.  3 fig, 2 tab, 18 ref.
                                              58

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Descriptors:   Selinium,  Soil,  Soil investigations, Microbial formation, Soil
chemistry,  Soil  properties.

Selenium was  volatilized from soils amended with elemental Se, selenite, selenate,
trimethylselenonium chloride,  selenomethionine, and selenocystine and incubated
in air or  anaerobically.  The processes were wholly or largely the result of
microbial  action.   The conversion of selenite and selenate to volatile products
was enhanced  if  soil was amended with organic materials.  Indigenous soil Se was
also volatilized in the presence of supplemental organic matter.  The products
were identified  by combined gas chromatography-mass spectrometry.  Dimethyl
selenide was  generated from all Se compounds tested when amended soils were
incubated  in  the presence of air.  Under anaerobic conditions, dimethyl selenide
was produced  from the three organic Se compounds and selenate, and a product
tentatively identified as hydrogen selenide (H2Se) was evolved from soil receiving
elemental  Se, selenite,  selenate, or selenocystine.  Dimethyl diselenide was also
formed from selenomethionine in soil incubated in air or anaerobically.


76:02G-069
TILE DRAINAGE IN BEDDED SOIL OR A DRAW,
Powell, N.L., and Kirkham, D.
Virginia Polytechnical Institute and State University, Department of Agronomy,
Blacksburg, Virginia.
Soil Science  Society of America Journal, Vol. 40, No. 5, p 625-630, September-
October  1976.  5 fig, 1 tab, 24 ref.

Descriptors:   Drainage,  Drainage effects, Drainage practices, Tile drains, Tile
drainage,  Furrow irrigation, Darcy's Law, Furrows, Subsurface drains, Subsurface
drainage.

The process of shaping flat land by plowing it into a series of ridges separated
by parallel dead furrow is called bedding and the ridge-furrow systems are called
beds.  The furrows are supposed to remove surface water from the ridges, but
often  do not.  The amount of water that can be removed by tile if they are placed
under  the  furrows is computed on the basis of Darcy's Law and potential theory.
 In the analysis, water-saturated, steady-state conditions and a subsurface barrier
on which the  drain tile are laid are assumed.  For a poorly drained prairie soil,
the calculations show that tile  (or plastic tubes, etc.) placed 0.35 m below the
 furrow bottoms and 30 m apart in beds of 2% slope will remove 5 mm of water/day,
and that the  bed furrows would have to remove an additional 4.52 mm/day to take
care of  an expected drainage coefficient of 9.52 mm/day.  For general use, 28
depth  and  spacing geometries are analyzed and tabulated from amounts of flow to
tile  in  the beds.  For certain geometries, some of the recharge rainfall seeps
in and out of the slope before the water seeps down again into the soil.  This
 in and out seepage occurs for small tile depths, and small tile sizes.  Flow
nets are presented.  It is shown that the theory applies to the drainage of a
draw.


 76:02G-070
ON THE STOCHASTIC FOUNDATIONS OF THE THEORY OF WATER FLOW THROUGH UNSATURATED
 SOIL,
Bhattacharya, R, Gupta,  V., and Sposito, G.
Arizona  University, Department of Mathematics, Tucson,Arizona.
Water  Resources  Research, Vol. 12, No. 3, June 1976.  40 ref.  OWRT B-046-Ariz
 (4).   14-34-0001-6057-

Descriptors:   *Hydraulic conductivity, Diffusivity, *Soil water movement,
Stochastic processes, *Unsaturated flow, *Markov processes, Equations, Soil
moisture.

The parabolic differential equation that describes the isothermal isohaline
transport  of  water through an unsaturated soil is shown to be the mathematically
rigorous result  of a fundamental stochastic hypothesis:  that the trajectory of
a water molecule is a nonhomogeneous Markov process characterized by space- and
time-dependent coefficients of drift and diffusion.  The demonstration is valid
 in general for heterogeneous anisotropic soils and provides for three principal
results  in the theory of water flow through unsaturated media:   (1) a derivation
of the Buckingham-Darcy flux law that does not rely directly on experiment, (2)
a new  theoretical interpretation of the soil water diffusivity and the hydraulic
                                               59

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conductivity in molecular terms, and  (3) a proof that the soil water diffusivity
for anisotropic soil is a symmetric tensor of the second rank.  A dynamic  argu-
ment at the molecular level is developed to show that the fundamental Markovian
hypothesis is physically reasonable in the case of water movement through  an
unsaturated soil.


76:02G-071
CAPILLARY HYSTERESIS AND THE RELATIONSHIP BETWEEN DRYING AND WETTING CURVES,
Parlange, J.-Y.
Connecticut Agricultural Experiment Station, New Haven, Connecticut.
Water Resources Research, Vol. 12, No. 2, p 224-228, April  1976.  5  fig, 24 ref.

Descriptors:   *Hysteresis, *Soil moisture, *Mathematical models, Theoretical
analysis, Equations, Wetting, Drying, Pore water, Capillary action. Pores,
Groundwater potential, Air-water interfaces, Boundary processes, Saturation,
Sands, Silts,  Loam, Soils, Microenvironment, Infiltration.

A  simple microscopic model predicted  the wetting and drying scanning curves from
only one boundary of the main hysteresis loop.  Comparison  with experiments
showed that if the  shape of the drying scanning curves varies smoothly,  then  the
drying boundary of  the loop is indeed sufficient to predict all scanning curves.
However, if the shape of the drying curves changes abruptly, the model  is  still
applicable, but the drying boundary yields only the wetting scanning curves,  and
the wetting boundary yields only the drying scanning curves.  For this  case the
model seems more reliable for predicting the scanning curves than for the  appli-
cation of interpolation techniques between the two boundaries.


76:02G-072
APPROXIMATIONS FOR  VERTICAL INFILTRATION RATE PATTERNS,
Smith, R.E.
Agricultural Research Service, Southwest Watershed Research Center, Tucson,
Arizona.
Transactions of the American Society of Agricultural Engineers, Vol. 19, No.  3,
p  505-509, May-June 1976.  3 fig, 19 ref.

Descriptors:   *Infiltration, *Soil physics, *Infiltration rates, *Unsaturated
flow, *Soil water movement, Soils, Porous media, Equations, Soil properties.
Mathematical models. Unsteady flow, Computer models. Model  studies.

The need for description of the time-varying rate of infiltration into  soils  led
to the development  of empirical formulas before the physics of fluid flow  in
porous media provided theoretical tools for analysis of this aspect of  unsatur-
ated soil water movement.  Selected contributions toward a  usable description
of the surface-soil infiltration rate for two boundary and  initial conditions
were reviewed.  The approximations ranged from simple formulas to complex models
developed from computer analysis of Richards' equation.  The tradeoffs  in number
of parameters and accuracy were discussed for several infiltration models.


76:02G-073
SOIL WATER MODELING I.  A GENERALIZED SIMULATOR OF STEADY,  TWO-DIMENSIONAL FLOW,
Amerman, C.R.
Agricultural Research Service, North Central Region Watershed Research  Center,
Columbia, Missouri.
Transactions of the American Society of Agricultural Engineers, Vol.19,  No. 3,
p  466-470, May-June 1976.  6 fig, 21 ref.

Descriptors:  *Soil water, *Model studies, *Computer models, *Soil water move-
ment, Boundaries (Surfaces), Hydraulic conductivity, Pressure head. Numerical
analysis, Darcy's Law, Unsaturated flow,- Equations, Porous  media, Theoretical
analysis, Steady flow.

A  computational scheme was developed for solving the steady-state, two-dimension-
al form of Richard's equation using finite differencing.  The successive over-
relaxation method was used.   The computer model developed for implementing the
computational scheme was generalized using a technique called subsectioning,
which allows application of the model, without internal modification, to a wide
                                              60

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range of geometric shapes,  hydraulic  boundary conditions,  and soil  distributions
Unsaturated or saturated  flow  regions or those containing  phreatic  surfaces may
be modeled.  The nonlinear  nature  of  Richard's equation was reflected in the
overrelaxation coefficient  which had  a maximum rather than an optimum value.
Values higher than maximum  caused  instability.


76:02G-074
CALCULATING THE UNSATURATED HYDRAULIC CONDUCTIVITY AND DIFFUSIVITY,
Whisler, F. D.
Mississippi State University,  Department of Agronomy, State College,  Mississippi.
Soil Science Society of America Journal, Vol.  40,  No. 1, p 150-151,  January-
February 1976. 2 fig,  7 ref.

Descriptors: *Unsaturated flow, *Hydraulic conductivity, *Diffusivity,  *Moisture
content, *Pressure head,  Numerical analysis, Equations, Soil water  movement,  Soil
water, Graphical analysis.  Methodology, Soil properties.

The methods of R. D. Jackson and R. H. Brooks and  A.  T. Corey for calculating the
unsaturated hydraulic  conductivity from water content-pressure head relationships
were compared.  The corresponding  diffusivity relationships can also be evaluated
either by  a numerical  differentiation of the water content-pressure head curves
plus the conductivity, or by direct calculation from the differentiation of the
Brooks and Corey function.   Both methods gave approximately the same results  for
the hydraulic conductivity  relationships.   The diffusivity values calculated  from
the Brooks and Corey functions were lower than those calculated by  the numerical
method for a Grenada silt loam soil.   Both diffusivity relationships gave essen-
tially the same beta values for the W. E.  Gardner  and M. S. Mayhugh diffusivity-
water content function.


76:02G-075
PLANT WATER STRESS CRITERIA FOR IRRIGATION SCHEDULING,
Stegman, E.G., Schiele, L.H.,  and  Baure, A.
North Dakota State University, Department of Agricultural  Engineering,  Fargo,
North Dakota.
Presented  at the 1975  Winter Meeting  of the American Society of Agricultural
Engineers, December 15-18,  1975, Chicago,  Illinois. 22 p,  7 fig, 6  tab, 18 ref.
ASAE Paper 75-2555.

Descriptors:  *Soil water,  *Soil moisture, *Soil-water-plant relationships,
*Scheduling, Crop response, Plant  physiology. Plant tissues, Irrigation,
Irrigation effects.

This study was conducted  to determine the potential for relating plant water
stress development to  variables indicative of prevailing soil and atmospheric-
environments.  Given such relationships irrigation scheduling services should be
better able to use plant  stress oriented criteria  for determining when to irri-
gate.  Stress development was  evaluated by leaf xylem pressure and  stomatal
diffusion  resistance measurements. Data sets were obtained for 4 to 5 crops  at
two  Irrigation Branch  Stations in  North Dakota.  The two sites provided soil
types with differing hydraulic properties and available water holding capacities.
Leaf xylem pressure data  for each  crop-soil combination were correlated by
regression procedures  with  ambient air temperatures and root zone soil moisture
content.   Subsequent application of these xylem pressure levels as  critical
limits to  each regression model permitted estimation of allowable root zone
soil moisture depletion relative  to expected ambient air temperatures.   This
procedure  offers a method for  interpreting water balance estimates  of soil
moisture deficit and advance forecasts of daily maximum air temperatures for
need of  irrigation.


76:026-076
FIELD AND  LABORATORY EVALUATION OF BI-LEVEL DRAINAGE THEORY,
Chu, S.T., and DeBoer, D.W.
South Dakota State University, Department of Agricultural  Engineering,  Brookings,
South Dakota.
Transactions of the American Society  of Agricultural Engineers, Vol. 19, No.  3,
p 478-481, May-June 1976.  5 fig,  6 tab, 9 ref.
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Descriptors:  *Drainage systems, *Theoretical analysis, *0n-site tests,  *Labora-
tory tests, Water table, Water levels, Hydraulic conductivity. Porosity,  Drains,
Data collections. Depth, Graphical analysis, Groundwater movement, Aquifers,
Viscosity.

Field and laboratory evaluations of a proposed bi-level drainage  (system in
which drains are at two different depths on an alternating basis) theory were
presented.  Graphical comparisons were made between the fall of the water table
as predicted by theory and as measured both in the field and in a Hele-Shaw
model.  In both cases the agreement was good, indicating that the theory is an
adequate model to describe the water table fall.


76:020-077
UPWARD WATER MOVEMENT 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. 19,  No. 2,
p 275-283, March-April 1976. 12 fig, 3 tab, 29 ref.

Descriptors:  *Groundwater movement, *Subsurface irrigation, *Cores, *Model
studies, Laboratory tests, Theoretical analysis, Hydraulic properties, Soil
properties, Soil profiles, Soil water movement. Design, Water table, Equations,
Irrigation, Pressure head, Moisture content, Boundaries (Surface, Tensiometers,
Hydraulic gradient, Hysteresis.

Subirrigation experiments were conducted under various initial and boundary
conditions using large, undisturbed cores from two field soils.  The pressure
head  distribution and flow volume were measured continuously, and the desorp-
tion  and  imbibition character of the soil water were determined using pressure
plates.   The effect of air entrapment on water content was determined gravimet-
rically,  while the hydraulic conductivity-pressure head relationship was  deter-
mined for each soil from transient pressure head measurements during a drainage
event.  An approximate model was developed to describe vertical water movement
during subirrigation.  This model as well as the Richards' equation were  tested
against experimental results from both soils.  Substantial variability was evi-
dent  in both measured soil properties and in water movement phenomena.   The
approximate subirrigation model provided acceptable agreement with the observa-
tions.  Consideration of soil stratification generally improved model accuracy.
For engineering design the added time and expense of sophisticated models are
not justified in comparison to the approximate model.  Determination of  the
total volume of stored water in a profile under specified boundary conditions
is essential to predictions of water movement.


76:02G-078
SURFACE RESIDUE, WATER APPLICATION, AND SOIL TEXTURE EFFECTS ON WATER ACCUMULA-
TION,
Unger, P-W.
Agricultural Research Service, Bushland, Texas, and Southwestern Great Plains
Research Center, Bushland, Texas.
Soil  Science Society of America Journal, Vol. 40, No. 2, p 2980300, March-April
1976. 2 fig, 14 ref.

Descriptors:  *Soil water, *Farm management, *Water storage, *Great Plains,
*0rganic matter, Mulching, Soils, Loam, Clay loam,  Evaporation, Precipitation
(Atmospheric), Irrigation, Crops, Wheat, Soil properties. Soil science.

Surface residue rates and water application amounts affect evaporation from soil.
These factors were evaluated for their effects on water accumulation in  a clay
loam  and a fine sandy loam soil.  Surface residue rates ranged from 0 to 12,000
kg/ha and water was added at 0.25, 0.5, 1.0, or 2.0 cm/addition.  At low residue
rates and water applications, little or no water accumulated in the soils.  The
amount of water that accumulated in the soils increased as surface residue rates
and water applications increased.  Results for the two soils were remarkably
similar, apparently because the liquid and vapor flow characteristics for the
two soils were similar at high water contents, even though their water retention
characteristics differed markedly.  The results of this laboratory study were
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discussed with regard to residue  management practices for low (dryland)  and
high (irrigated) residue production systems of the Great Plains.


76:02G-079
VARIABILITY OF HYDRAULIC CONDUCTIVITY IN TWO SUBSURFACE HORIZONS  OF TWO  SILT
LOAM SOILS,
Baker, F.G., and Bouma, J.
Wisconsin University, Department  of Soil Science,  Madison,  Wisconsin.
Soil Science Society of America Journal, Vol.  40,  No. 2, p 219-222, March-April
1976.  3 fig, 10 ref. EPA R802874.

Descriptors:  *Hydraulic conductivity,  *Soils, *Soil properties,  Variability,
Loam, Loess, Silts, Subsoil,  Soil horizons, Soil investigations,  Infiltration,
Groundwater, Groundwater potential. Soil moisture, Soil water movement,  Soil
science.

Hydraulic  conductivity was  measured in the B22t and B31t horizons of 12  pedons
of two soils developed in loess deposits overlying glacial till.   Conductivity
measurements were made with the crust test technique for unsaturated conditions
and with a new related in situ method for saturated conditions.   Nonlinear
regression yielded  simple well-fitting curves.  Variability within and between
major horizons in these soil series was found to be relatively low.  The four
horizons in these two  silt  loam soils had statistically identical hydraulic
conductivity characteristics, even though morphological soil structure and  soil
genesis differed significantly.


76:02G-080
DETERMINING THE HYDRAULIC CONDUCTIVITY OF SOIL CORES BY CENTRIFUGATION,
Alemi, M.H., Nielsen,  D.R., and Biggar, J.W.
California University.- Department of Land, Air and Water Resources, Davis,
California.
Soil Science Society of America Journal, Vol.  40,  No. 2, p 212-318, March-April
1976. 5 fig, 2 tab, 15 ref, 1 append.

Descriptors:  *Hydraulic conductivity,  *Soils, *Centrifugation,  *Infiltration,
Laboratory tests, Groundwater movement, Permeability, Diffusivity, Conductivity,
Hydrologic properties, Soil water.  Soil moisture,  Moisture content, Soil prop-
erties.              .

Two  centrifugal techniques  were proposed for determining the hydraulic conductiv-
ity  of cores of natural  soil.  Experimental results were presented for one
technique  in which  the change in  weight of one end of the sample, previously
centrifugated, was  measured with  a balance.  The mathematical equations  describ-
ing  this redistribution process were developed and fitted to the  data to ascer-
tain the soil water diffusivity D.   The value of the hydraulic conductivity K
was  obtained from K -  bD, where b is also calculated.  Calculated values of K
agreed with previously published  values.  The second technique for which a
theory was presented but no experimental values were provided depends upon  the
measurement of the  volumetric outflow of water from a soil core when the speed
of centrifugation is suddenly increased.


76:02G-081
DRAINAGE SYSTEM EFFECTS ON  PHYSICAL PROPERTIES OF A LAKEBED CLAY  SOIL,
Hundal, S.S., Schwab,  G.O., and Taylor, G.S.
Ohio State University, Department of Agronomy, Columbus, Ohio.
Soil Science Society of America Journal, Vol.  40,  No. 2, p 300-305, March-April
1976. 7 fig, 1 tab, 11 ref.

Descriptors:  *Drainage effects,  *Crop response, *Soil properties, Drainage,
Drainage practices. Soils,  Soil physical properties. Soil strength, Compressive
strength,  Soil texture, Pores, Proosity, Land management, Surface drainage,
Subsurface drainage. Hydraulic conductivity, Agriculture.

The  long-term effects  of drainage on physical properties of a lakebed silty clay
soil were  evaluated 16 years after initiation of a field experiment. The
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treatments were undrained, surface drainage, subsurface drainage, and a combin-
ation of surface and subsurface drainage.  Soil conditions were characterized  by
surface penetration resistance and by unconfined compressive strength, hydraulic
conductivity, and pore size distribution in the 0-30 cm depth.  Subsurface
drainage resulted in greater soil hydraulic conductivity, less unconfined com-
pressive strength, and less surface crust resistance than treatments without
subsurface drainage.  Subsurface drainage also decreased bulk density and in-
creased the volume of air-filled pores at 0.02 to 1.0-bar suctions, but these
effects were of smaller magnitude.  An alfalfa-timothy mixture was grown during
the period of these measurements.  The survival of alfalfa and the total hay
yield decreased in the order: combined surface and subsurface drained, surface
drained, and undrained treatments.


76:02G-082
VERTICAL FLOW OF AIR AND WATER WITH A FLUX BOUNDARY CONDITION,
McWhorter, D.B.
Colorado State University, Department of Agricultural Engineering, Fort Collins,
Colorado.
Transactions of the American Society of Agricultural Engineers, Vol. 19, No. 2,
p 259-265, March-April 1976. 3 fig, 1 tab, 7 ref.

Descriptors:  *Soil water movement, *Air-water interfaces, *Infiltration, Air,
Viscosity, Compressibility, Equations, Darcy's Law, Permeability, Saturation,
Density, Pore pressure, Atmospheric pressure, Water pressure, Hydraulic con-
ductivity, Porosity, Boundaries  (Surfaces), Soil properties, Continuity equa-
tion, Ponding, Approximation method, Graphical methods.

The effects of viscous resistance to air flow in the downward movement of infil-
trating water in  soil were analyzed.  A conceptual model was used in which air
was replaced by a hypothetical incompressible fluid with a viscosity equal to
that of air.  An equation analogous to Darcy's Law was derived which incorpor-
ated resistance to  flow of both air and water.  The flow equation was later
transformed to a dimensionless form.  An important assumption used in deriving
the equation was  that the volume flux of the air is everywhere equal to and
opposite in direction to that of water.  An approximate solution was obtained
using Parlange's technique of successive approximation, and the range of appli-
cability for the  solution was determined graphically.  Numerical examples were
presented which indicated that resistance to flow of an incompressible fluid
with a viscosity equal to that of air would significantly influence both pond-
ing time and the maximum infiltration rate short of ponding.  Apparently the
actual time-to-ponding must be between the two extremes predicted by single-
phase and two-phase incompressible flow theory.


76:02G-083
HYDRAULIC PROPERTIES OF A POROUS MEDIUM: MEASUREMENT AND EMPIRICAL REPRESENTATION,
Gillham, R.W., Klute, A., and Heermann, D.F.
Waterloo University, Department of Earth Sciences, Ontario, Canada.
Soil Science Society of America Journal, Vol. 40, No. 2, p 203-207, March-April
1976, 6 fig, 3 tab, 16 ref.

Descriptors:  *Hydraulic properties, *Soil water.- *Hysteresis, *Porous media,
Laboratory tests, Soil moisture, Moisture content, Soil water movement, Ground-
water movement. Infiltration, Drainage, Evaporation, Soil moisture meters, Hydro-
static pressure, Pressure head. Wetting, Drying, Soils.

The hysteretic water content-pressure head relationship and the hydraulic conduc-
tivity-water content relationship for a porous material are needed in the solution
of the water flow equation to predict behavior of a given flow system.  These
hydraulic properties were measured in an unsteady-state manner using gamma ray
attenuation for the water content and strain gage pressure transducer tensiometry
for the pressure head.  Envelope curves and four to six primary wetting and dry-
ing scanning curves of the water content-pressure relationship were determined.
A convenient method of representation of the scanning curves by an empirical
function was developed for use in computer solutions of the water flow equation.
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76:02G-084
SPATIAL VARIABILITY OF THE LEACHING CHARACTERISTICS  OF A FIELD  SOIL,
Bigger, J.W., and Nielson, D.R.
California University, Department of  Land, Air  and Water Resources, Davis,
California.
Water Resources Research, Vol.  12, No.  1, p  78-84, February  1976   10 fiq
3 tab, 14 ref.

Descriptors:  *Spatial distribution,  *Leaching,  *Soils, *Soil profiles, Salts,
Pore water, Solutes, Infiltration, Diffusion, Sampling, Infiltration rates,
On-site investigations, Soil water.


Solute distributions within a  soil profile during the leaching  of water-
soluble salts applied to  the soil surface were  measured at six  depths to
182.4 cm within 20 subplots of a 150,hectare field.  Estimates  of the pore
water velocity based upon measures of solute displacement within each
subplot and the entire field were found to be logarithmically normally
distributed and in agreement with the volumetric measures of water
infiltration rates.  Such agreement was possible only because it was
recognized that the observed values were not normally distributed and
their mean values were calculated accordingly-   The  number of observations
required to yield an estimate  of the  mean pore  water velocity within
a prescribed accuracy was shown to depend upon  the nautre and extent
of  the spatial variability of  the field soil.   For the field examined, 100
observations allowed the  mean  pore water velocity to be estimated within
+ or - 50 percent of its  true  value.   The functional relation between
field-measured values of  the apparent diffusion coefficient, also found
to  be  logarithmically normally distributed,  and pore water velocity was
examined and interpreted  in terms of  solute  distributions likely to
be  measured at specific sampling sites.


76:020-085
INFILTRATION ANALYSIS AND PERTURBATION METHODS  I.  ABSORPTION WITH EXPONENTIAL
DIFFUSIVITY,
Babu,  D.K.
City College, Department  of Mathematics, New York, New York.
Water  Resources Research, vol. 12, No.  1, p  89-93, February  1976.  1 fig,
25  ref.

Descriptors:  *Soil moisture,  *Infiltration, *Model  studies, *Absorption,
Mathematical models. Equations, Analytical techniques. Subsurface waters,
Diffusion, Soil temperature, Soil physical properties, Soils, Diffusivity.

Simple perturbation methods were employed to analyze the horizontal absorption
of  moisture  in unsaturated soils.  The special  case  treated  assumed the
diffusivity to be an exponential function of the concentration  and the con-
centration at the boundaries to be constant. The solution emerged as an
explicitly determined power series in the Boltzmann  variable.   The resulting
profiles were compared with some others found in the existing literature.
A discussion about the relevance and  advantages of this type of analysis
formed the concluding part of  the paper.
 76:02G-086
 DIFFUSION AND MASS  FLOW OF NITRATE-NITROGEN TO PLANT ROOTS,
 Phillips, R.E.,  NaNagara,  T.,  Zartman,  R.E., and Leggett,  J.E.
 Kentucky Agricultural Experiment Station,  Department of Agronomy,  Lexington,
 Kentucky.
 Agronomy Journal, Vol.  68, No.  1,  p 63-68, January-February  1976.   2  fig,
 1 tab,  11 ref.

 Descriptors:   *Soil-water-plant relationships, *Diffusion, *Soil water move-
 ment,  *Nitrogen,  *Nitrates, *Root systems. Transpiration,  Nutrient requirements,
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Model studies, Flow Moisture content. Absorption, Model studies, Path of
pollutants, Corn (Field).


A model for estimating nitrate-nitrogen uptake by plant roots is developed
and its application discussed.  Soil and plant parameters which must be
known in order to predict transport by diffusion and mass flow include volu-
metric soil water content, N03-N concentration in soil solution, porous
diffusion coefficient of soil N03-N, average soil water macroscopic velocity
at the plant root surface, root radius, transpiration rate and plant root
length.  A previously reported steady-state model for simultaneous mass
flow and diffusion is evaluated with reference to measurement of those para-
meters.  The importance of diffusion to mass flow is great when the ratio
of transpiration rate to the constant of proportionality relating flux into
the plant to N03-N concentration in soil solution is less than 0.2.
76:02G-087
INFILTRATION INTO INCREASINGLY PERMEABLE SOILS,
Bouwer, H.
Agricultural Research Service, Water Conservation Laboratory, Phoenix,
Arizona.
Journal of the Irrigation and Drainage Division, American Society of Civil
Engineers, Vol. 102, No. IR1, Proceedings Paper 11959, p 127-136, Marc.h
1976.  3 fig, 1 tab, 9 ref.

Descriptors:  *Drainage, *Infiltration, *Infiltration rates, *Permeability,
Soil properties, Soils, Digital computers, Irrigation, Hydraulic conduc-
tivity, Equations, Wetting, Depth.

A tabular procedure, based on the Green-Ampt equation, was developed to
calculate infiltration into soil that becomes more permeable with depth.  The
procedure is simple and the results compared favorably with those obtained
with a digital computer.  The procedure supplements a previous paper which
showed how the Green-Ampt equation could be used to calculate infiltration
into soil becoming less permeable with depth.  The Green-Ampt equation is
emerging as a useful, simple, yet theoretically sound infiltration equation.
The extension of the equation to soils where the permeability changes with
depth should enhance its utility in practical applications, where soils are
seldom, if ever, uniform.
76:02G-088
ON THE STOCHASTIC FOUNDATIONS OF THE THEORY OF WATER FLOW THROUGH UNSATURATED
SOIL,
Bhattacharya, R., Gupta, V-, and Sposito, G,
Arizona University, Department of Mathematics, Tucson, Arizona,
Water Resources Research, Vol. 12, No, 3, June 1976.  40 ref.


Descriptors:  *Hydraulic conductivity, Diffusivity, *Soil water movement,
Stochastic processes, *Unsaturated flow.- *Markov processes, Equations, Soil
moisture.


The parabolic differential equation that describes the isothermal isohaline
transport of water through an unsaturated soil is shown to be the mathematically
rigorous result of a fundamental stochastic hypothesis:  that the trajectory
of a water molecule is a nonhomogeneous Markov process characterized by space-
and-time-dependent coefficients of drift and diffusion.  The demonstration is
valid in general for heterogeneous anisotropic soils and provides for three
principal results in the theory of water flow through unsaturated media:   (1)
a derivation of the Buckingham-Darcy flux law that does not rely directly on
experiment, (2)  a new theoretical interpretation of the soil water diffusivity
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and the hydraulic conductivity  in molecular terms,  and (3)  a proof that the soil
is a symmetric tensor of  the  second rank.   A dynamic argument at the molecular
level is developed to show  that the fundamental Markovian hypothesis is physi-
cally reasonable in the case  of water movement through an unsaturated soil.


76:02G-089
WETTING FRONT PRESSURE HEAD IN  THE INFILTRATION MODEL OF GREEN AND AMPT,
Neuman, S.P.
Arizona University, Department  of Hydrology and Water Resources, Tucson, Arizona.
Water Resources Research, Vol.  12, No. 3,  p 564-566, June 1976.   22 ref.

Descriptors:  *Soil water movement, *Model studies,  Mathematical studies,
*lnfiltration, *Pore pressure,  *Pressure head, *Air circulation, Wetting,  Water
pressure, Seepage, Soil properties, Time,  Gravitational water sorption, Unsat-
urated flow. Equations.

A theoretical expression  relating the wetting front pressure head in the infil-
tration model of Green and  Ampt to soil characteristics was derived.  This
expression was identical  to that previously suggested by Bouwer on the basis of
an analogy with horizontal  flow.  It differed from a more complete expression
recently  proposed by Morel-Seytoux and Khanji in that the effect of air mobil-
ity was neglected, the need for determining the functional relationship between
the relative permeability of air and water saturation thus being avoided.


76:02G-090
A NEW MODEL FOR PREDICTING  THE  HYDRAULIC CONDUCTIVITY OF UNSATURATED POROUS
MEDIA,
Mualem, Y.
Technion-Israel Institute of Technology, Department of Civil Engineering,  Haifa,
Israel.
Water Resources Research, Vol.  12, No. 3,  p 513-522, June 1976.  4 fig, 3  tab,
34 ref, 3 append.  U.S.-ISBF 422.

Descriptors:   *Unsaturated  flow, *Hydraulic conductivity, *Mathematical models,
 *Porous media. Moisture  content, Pore pressure, Saturation, Theoretical analysis,
Soil properties, Homogeneity, Porosity, Capillary conductivity, Soil types,
 Model  studies.  Equations, Mathematical  studies.

A simple analytic  model was proposed which predicts  the unsaturated hydraulic
 conductivity curves by using the moisture content-capillary head curve and the
 measured value of the hydraulic conductivity at saturation.  It was similar to
 the  Childs  and Collis-George (1950) model but used  a modified assumption con-
 cerning the hydraulic conductivity of the pore sequence in order to take into
 account the effect of the larger pore selection.  A computational method was
 derived for the determination of the  residual water content and for the extrap-
 olation of  the water content-capillary  head curve as measured in a limited
 range.   The proposed model was  compared with the existing practical models of
 Averjanov (1950),  Wyllie and Gardner  (1958) , and Millington and Quirk  (1961) on
 the  basis of the  measured data  of  45  soils.  It seemed that the new model is
 in better agreement with observations.


 76:02G-091
 ANALYTICAL  SOLUTION OF THE EQUATION FOR TRANSPORT OF REACTIVE SOLUTES THROUGH
 SOILS,
 Selim,  H.M.,  and  Mansell, R.S.
 Florida University,  Department  of  Soil  Science, Gainesville, Florida.
 Water  Resources  Research, Vol.   12, No.  3, p 528-532, June 1976.  3 fig, 18 ref.
 OWRT A-026-FLA(8).

 Descriptors:   *Soil  water movement, *Solutes, *Analytical techniques, *Soil
 chemistry,  *Leachate,  *Adsorption, Aqueous solutions, Soils, Steady flow,  Infil-
 tration,  Unsteady flow,  Laboratory tests, Equations, Mathematical studies, Soil
 surfaces.

 Mathematical  solutions of the differential equation governing reactive  solute
                                              67

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transport in a finite soil column were developed for  two  specific  cases:
continuous solute input and pulse-type solute input at  the  soil  surface.
These solutions incorporated reversible linear adsorption as well  as  irriver-
sible solute adsorption.  The irreversible adsorption was expressed by a  sink/
source term which either may be a constant or may have  a  concentration-dependent
form.  The boundary condition used across the surface was that of  the third
type, which accounted for advection as well as dispersion.  To illustrate
the significance of using the proper boundary conditions, comparisons were
made with two other mathematical solutions.  It was concluded that the solution
presented was highly useful for low pore flow velocities.   For large  pore velo-
cities, all three solutions were in agreement.


76:02G-092
WATER TRANSPORT IN THE SOIL-ROOT SYSTEM:  TRANSIENT ANALYSIS,
Molz, P.J.
Auburn University, Department of Civil Engineering, Auburn, Alabama.
Water Resources Research, Vol. 12, No. 4, p 805-808,  August 1976.  2  fig, 27
ref.

Descriptors:  *Soil water movement, *Root zone, *Root systems, *Equations, Soils,
Unsteady  flow, Potential flow, Numerical analysis, Hydraulic gradient,  Available
water, Mathematical models, Theoretical analysis, Boundaries  (Surfaces),  Xylem,
Plant tissues, Hydraulic conductivity, Laboratory tests.

Equations were developed which describe the transient flow of water in a  cylin-
drical soil-root system.  The main objective was to calculate water potential
distributions in the root cortex as well as in the surrounding soil.   Numerical
results indicated that there will be small water potential gradients  in the soil
relative  to those in the root in the upper 90% of the water availability  range.
Contrary  to past experiments, theory predicted that appreciable amounts of water
should flow from roots to soil when roots well supplied with water are in con-
tact with dry soil.  An important implication of the  study was that models
designed  to predict the pattern in which roots extract water from  soil will
have to consider the rate-limiting aspect of the root tissue.


76:02G-093
THE APPLICATION OF THE OVERBURDEN POTENTIAL THEORY TO SWELLING SOILS,
Towner, G.D.
Agricultural Research Council, Unit of Soil Physics,  Cambridge, England.
Water Resources Research, Vol. 12, No. 6, p 1313-1314, December 1976.   2  fig,
8 ref.

Descriptors:  *Soil water, *Soils, *Hysteresis, Soil  moisture, Moistur-e content,
Physical properties, Pore water, Shrinkage, Mathematical models. Water  table,
Soil science.

From a consideration of alternative loading paths in  the  shrinkage diagram of
swelling soils, it was shown that hysteresis in the relationship between  the
voids ratio and the moisture ratio may occur, even though no actual reversals
of loading have been allowed nor any irreversible structural changes  have taken
place.  Therefore, it was argued that the application of  the overburden poten-
tial theory to the analysis of situations, such as water  profiles  above water
tables in vertical soil columns, is questionable.  The need for experimental
studies was stressed.


76:020-094
A COMPARISON OF TECHNIQUES FOR SOLVING THE DIFFUSION  EQUATION WITH AN  EXPONEN-
TIAL DIFFUSIVITY,
Parlange,  J.-Y., and Babu, O.K.
Connecticut Agricultural Experiment Station, New Haven, Connecticut.
Water Resources Research, Vol. 12, No. 6, p 1317-1318, December 1976.   8  ref.

Descriptors:   *Diffusion, *Diffusivity, *Mathematical studies, Equations, Soil
water,  Sorption.

A recent solution obtained by Babu when the soil water diffusivity has  an expo-
                                              68

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nential behavior was compared  with two earlier solutions.   It was shown that
with a slight modification,  Babu's perturbation solution is identical to the
iterative solution using  Cisler's  correction.   it was also shown that solutions
which optimize the sorptivity  and  the front position are numerically indistin-
guishable from either  the perturbation or the  iterative solution but have,  in
general, a much simpler analytical form.


76:02G-095
ON SOLVING THE INFILTRATION  EQUATION—A COMPARISON OF PERTURBATION AND ITERATIVE
TECHNIQUES,
Parlange, J.-Y., and Babu, O.K.
Connecticut Agricultural  Experiment Station, New Haven, Connecticut.
Water Resources Research, Vol. 12, No. 6, p 1315-1316, December 1976.  10 ref.

Descriptors:   *Infiltration, *Gravity, *Diffusivity, Mathematical model's. Analyti-
cal techniques, Soils, Equations,  Soil water,  Moisture content, Soil moisture,
Soil water movement, Soil science.

A recent solution obtained by  Babu following a perturbation method was compared
with an earlier iterative method.   It was shown that after improvement, Babu's
perturbation  solution  becomes  identical to the iterative solution using Cisler's
correction.   A simpler solution based on an optimal scheme was also presented.


76-.02G-096
ASSESSMENT OF AVAILABLE WATER STORAGE CAPACITY OF SOILS WITH RESTRICTED SUBSOIL
PERMEABILITY,
McCown, R.L.,  Murtha,  G.G.,  and Smith, G.D.
Commonwealth  Scientific and  Industrial Research Organization, Division of
Tropical Crops and Pastures, Townsville,  Australia.
Water  Resources Research, Vol. 12, No. 6, p 1255-1259, December 1976.  3 fig,
 25  ref.

 Descriptors:   *Storage capacity, *Soil water,  *Soil moisture, *Root zone,
 *Permeability, Soils,  Water  Storage, Tropical  regions, On-site investigations.
Sampling, Ponding, Subsoil,  Soil water movement. Soil horizons, Soil science.

 The pasture production of most of the tropics  is largely a function of the water
regime.  One  of the  few options for control of the water regime in these environ-
ments  is choice of site.   A  site parameter of  great importance is the ax'ailable
water  storage capacity (AWSC)  in the root zone.  Although estimation of the AWSC
 is  straight-forward  on freely drained soils, it is complicated on poorly drained
 soils  by the  inapplicability of the concept of field capacity.  The latter soils,
 however, commonly have a  buildup of salts at depth in the profile, presumably
due to prevailing leaching conditions.  The study reported herein was conducted
 to  test the hypothesis that  this salt profile  can be used to indicate the depth
 of  wetting under conditions  similar to those producing maximum subsoil water
 recharge in this climate. Twenty sites on mainly texture contrast soils, most
with poorly drained  subsoils,  were examined in detail.  A close relationship
 between the observed depth of wetting and the  depth to the salt bulge was
 found.  This  relationship, together with the total porosity of the top (wettest)
 stratum of the B horizon, provides a means of  estimating the AWSC of the sub-
 soil.


 76:026-097
HYSTERETICAL  MODELS  FOR PREDICTION OF THE HYDRAULIC CONDUCTIVITY OF UNSATURATED
POROUS  MEDIA,
Mualem, Y.
Colorado State University, Engineering Research Center, Fort Collins, Colorado.
Water  Resources Research, Vol. 12, No. 6, p 1248-1254, December 1976.  12 fig,
 12  ref, 1 append.  NSF ENG-7611542.

Descriptors:   *Hysteresis, *Hydraulic conductivity, *Model studies. Mathematical
models, Moisture content, Capillary conductivity. Porous media, Unsaturated
 flow,  Groundwater, Soil water. Pore pressure,  Pore water,  Soil science.

A theory which permits a  quantitative prediction of the actual phenomena of con-
                                               69

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siderable hysteresis characterizing the hydraulic conductivity-capillary head
relationships, and the less significant hydraulic conductivity-moisture content
hysteresis, was proposed.  The models used to represent capillary  hysteresis
were extended to permit the prediction of the hydraulic conductivity  of un-
saturated porous media for any continuous process of  imbibition  and drainage.
The generalized models require the same amount of experimental data as  the
previous models, with the addition of a measured value of  the hydraulic con-
ductivity at a definite point.  For an incompleter measured  theta  (psi)  loop,
the knowledge of K at the minimum measured value of psi can  be used to  improve
prediction.  The dependent domain model suggested by  Mualem  and  Dagan was
generalized by adding two functions, KL(psi) and KH(psi).  All K(psi) scanning
curves were expressed with the aid of KL(psi) and KH(psi)  by convenient compact
formulation similar to that used to describe the theta  (psi) curves.  Very
good agreement between theory and observations was found.  The predicted K(psi)
hysteresis has all the experimentally observed features.   The predicted K(theta)
hysteretical loop almost shrinks to a unique curve, though the psi(theta)  loop,
used as data, is of considerable extent.


76:020-098
A PERTURBATION SOLUTION FOR A NON-LINEAR DIFFUSION EQUATION,
Liu, P.L.-F.
Cornell University, School of Civil and Environmental Engineering, Ithaca,
New York.
Water Resources Research, Vol. 12, No. 6, p 1235-1240, December  1976.   2 fig,
2 tab, 17 ref.  NSF ENG76-09421.

Descriptors:  *Diffusion, *Soil water, *Mathematical models, Equations,  Sorption,
Boundaries  (Surfaces), Diffusivity, Mathematics, Analytical  techniques.

Nonlinear diffusion problems with a constant boundary condition  were investigated.
The concept of diffusion front was utilized to develop a perturbation solution.
Results were presented for two specific diffusivities which  are  functions of the
concentrations.  The present technique was shown to be efficient and  accurate.


76:020-099
THE CONCISE FORMULATION OF DIFFUSIVE SORPTION OF WATER IN  A  DRY  SOIL,
Brutsaert, W.
Cornell University, School of Civil and Environmental Engineering, Ithaca,
New York.
Water Resources Research, Vol. 12, No. 6, p 1118-1124, December  1976.   1 tab,
38 ref.

Descriptors:  *Sorption, *Soil water, *lnfiltration,  *Model  studies,  Mathematical
models. Soils, Soil moisture. Moisture content, Soil moisture movement.  Diffu-
sion, Equations, Diffusivity, Wetting, Mathematical studies, Soil  science.

Several formulations for the sorption of water in a dry soil obtained on the
basis of approximate solution of the nonlinear diffusion were considered,  and
their relative merits were investigeted.  In addition, new solutions  were devel-
oped by the application of a simple weighting of the available approximations.
In a comparison with one of Philip's exact solutions, it was found that  the
error involved in all these solutions is, at most, of the  order  of 3  or  4%;
however, Parlange's optimization result and the weighting  solutions appear to
be accurate to within a few thousandths.  The sorptivity and the position of
the wetting front can be expressed consisely as functions  of soil physical
parameters by applying either the two-parameter exponential  diffusivity  of
Gardner and Mayhugh or the three-parameter power function  diffusivity of the
author.  The mathematical form suggests that on a field or basinwide  scale,  the
sorptivity of the surface soil is log normally distributed.


76:020-100
INFILTRATION ANALYSIS AND PERTURBATION METHODS III.  VERTICAL INFILTRATION,
Babu,  O.K.
City College, Department of Mathematics, New York.
Water Resources Research, Vol. 12, No. 5, p 1019-1024, October 1976.  3  fig,
1 tab, 7 ref.
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Descriptors:  *Infiltration,  *Mathematical  studies,  *Unsaturated flow.  Moisture
content, Boundaries  (Surfaces),  Theoretical analysis,  Equations,Velocity  Dif-
fusivity, Permeability, Numerical  analysis.

Simple perturbation methods  continue to yield good results  in the solution of
the problem of vertical infiltration of water into unsaturated soils    The
initial approximation is valid  for all  times and gives useful information  about
important flow characteristics.  The required computations  are always direct
and simple.  Some numerical  work pertaineng to Yolo light clay was presented to
exhibit the advantages, relevance, and  simplicity of the  present analysis  com-
pared to other existing works on this topic.


76:02G-101
INFILTRATION ANALYSIS AND  PERTURBATION  METHODS II.  HORIZONTAL ABSORPTION,
Babu, D. K.
City College, Department of  Mathematics, New York.
Water Resources  Research,  Vol.  12, No.  5, p 1013-1018, October 1976.  1 fig,
1 tab,  12 ref, 1 append.

Descriptors:  *Infiltration,  ^Absorption, *Mathematical studies. Equations,
Theoretical analysis, Unsaturated  flow, Diffusivity, Moisture content,
Boundaries  (Surfaces).

Perturbation methods  are employed  to analyze the horizontal absorption  of
moisture in unsaturated soils.   The reported study applied  to absorption under
the general diffusivity function,  subject to constant boundary concentration.
The concept of the wetting front moving with a finite velocity played a funda-
mental  role in this  set of papers.  The solution emerges  as a series of terms
that can be explicitly calculated  in terms  of the integrals involving diffus-
ivity functions.  The examples  of  exponential and constant  diffusivity  functions,
as well as the case  of Yolo  light  clay, were computed to  one or two terms  to
exhibit the advantages over,  and the good agreement with, other published  data
of Parlange, Philip,  etc.  The  method possesses great potential, and in a  sub-
sequent paper the study of vertical infiltration will be  presented by utilizing
the perturbation mechanism.


76:02G-102   ,
THE DIFFERENT FORMS  OF MOISTURE PROFILE DEVELOPMENT DURING  THE REDISTRIBUTION
OF SOIL WATER AFTER  INFILTRATION,
Youngs, E.G., and Poulovassilis, A.
Agricultural Research Council,  Unit of  Soil Physics, Cambridge, England.
Water Resources  Research,  Vol.  12, No.  5, p 1007-1012, October 1976.  7 fig,
18 ref.

Descriptors:  *Infiltration,  *Soil water movement, *Model studies, Mathematical
models. Laboratory tests.  Soil  water. Soil  moisture, Water  spreading. Moisture
content,  Soils,  Equations, Porous  media, Percolation,  Pervious soils, Soil
physical properties.

Two different forms  of moisture profile development may occur during the redis-
tribution of soil water after infiltration.  In one, the  profile shape  continues
to be similar to that profile developed during the infiltration process, with a
fairly  uniform water content region near the soil surface above a steep wetting
front;  and the rate  of redistribution is inversely related  to the infiltration
depth.  In the other, water  drains from near the surface  to appear as a step in
the moisture profile below the  wetting  front at the cessation of infiltration;
and the rate of  redistribution  is  directly  related to infiltration depth.   Clas-
sical theory of  soil water movement was shown to account  for both forms of
moisture profile development, which depend  on the moisture  profile shape at the
cessation of infiltration  and on the soil water properties  of the porous'material.
Experimental results of moisture profile development in a sand column illus-
trated  how different profile forms develop  as the depth of  infiltration is
increased and, by inclining  the experimental column, how they depend on the
relative  importance  of the soil water pressure head gradients compared  with that
of gravity.
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76:02G-103
EXTRACTION OF SOIL WATER USING CELLULOSE-ACETATE HOLLOW FIBERS,
Jackson, D.R., Brinkley, F.S., and Bondietti, E.A.
Oak Ridge National Laboratory, Oak Ridge, Tennessee.
Soil Science Society of America Journal, Vol. 40, No.  2,  p  327-329,  March-April
1976.  5 fig, 1 tab.

Descriptors:  Soil water, Soils, Soil investigations,  Soil  properties,  Soil
chemistry, Laboratory tests, Sampling, Greenhouses.

Cellulose-acetate hollow fibers were used to extract soil solutions  from soil
columns.  The fibers have unique characteristics of small diameter and  high
flexibility and permeability which are ideally suited  for use  in  soils.   Two
experiments were completed to demonstrate the usefulness  of the hollow  fibers.
A 109Cd-tagged soil column was leached with distilled  water, and  subsequently
soil water was extracted with the fibers.  The effective  radius of soil-water
extraction by the fibers was evaluated.  The results show that the fibers can
extract soil solution for chemical assay at moisture levels ranging  from 20 to
50%.  Applications of this technique include sampling  soil  solution  from green-
house pots and experimental microcosms.


76:02G-104
COMPARISON OF FIVE KINETIC MODELS FOR ORTHOPHOSPHATE REACTIONS IN MINERAL SOILS,
Enfield, C.G., Harlin, C.C., and Bledsoe, B.E.
United States Environmental Protection Agency, Office  of  Research and Develop-
ment, Robert S. Kerr Environmental Research Laboratory, Ada, Oklahoma.
Soil Science Society of America Journal, Vol. 40, No.  2,  p  243-249,  March-April
1976.  3 fig, 2 tab, 31 ref.

Descriptors:  Kinetics, Soils, Soil 'investigations, Soil  properties. Soil  chemi-
cal properties, Adsorption, Diffusion, Sorption.

The kinetics of orthophosphate sorption with 25 mineral soils  have been  experi-
mentally measured under laboratory conditions.  The 25 mineral soils represent
a wide range of physical and chemical properties.  Regression  analyses have  been
performed fitting the experimental data to five kinetic models.  The five kinetic
models include:  a linearized first-order sorption, a  first-order Freundlich
sorption, an empirical function, a diffusion-limited Langmuir  sorption,  and  a
diffusion-limited Freundlich sorption.  Mean correlation  coefficients of  0.81,
0.83, 0.84, 0.86, and 0.88 were obtained for the models,  respectively.


76:02G-105
ESTIMATION OF COMPONENTS OF SOIL CATION EXCHANGE CAPACITY FROM MEASUREMENTS  OF
SPECIFIC SURFACE AND ORGANIC MATTER,
Curtain, D., and Smillie, G.W.
University College, Department of Soil Science,  Dublin, Ireland.
Soil Science Society of America Journal, Vol. 40, No.   3, p  461-462,  May-June
1976.  3 tab, 14 ref.

Descriptors:  *Cation exchange, Organic matter.  Soil textures, Soils, Soil
properties, Soil investigations.

Cation exchange capacities of Irish soils developed from a wide range of parent
materials were found to be highly correlated with organic matter content and
specific surface but not with clay content.   Multiple regression analysis  showed
that organic matter in combination with specific surface accounted for 97% of the
variation in CEC whereas organic matter and clay content only  accounted  for  58%
of the variation.   The better correlation between CEC and specific surface than
between CEC and clay content, is attributed to the ability of  surface area meas-
urements to reflect the presence of phyllosilicates in silt and sand fractions"
of soils and to the fact that these minerals have less variable surface charge
densities than cation exchange capacities.   It is proposed that specific  surface
provides a better estimate than clay content, of the mineral component of  CEC
for soils of varying mineralogy-
                                              72

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76:02G-106
RELATION BETWEEN THE KINETICS  OF  NITROGEN  TRANSFORMATION AND BIOMASS  DISTRIBU-
TION IN A SOIL COLUMN DURING CONTINUOUS  LEACHING,
Starr, J.L., and Parlange, J.-Y.
Connecticut Agricultural Experiment  Station,  New Haven,  Connecticut.
Soil Science Society of America Journal, Vol.  40,  Ho.  3,  p  458-460,'May-June
1976.  1 fig, 5 ref.

Descriptors:  Nitrogen, Leaching,  Kinetics, Microorganisms,  Soils Soil  investi-
gations.

Nitrogen concentration profiles in soil  columns  with associated microbial
distributions have been used in the  past to deduce the kinetics of nitrogen
transformations during steady  leaching.  Owing to  the many  factors which control
microbial reaction kinetics in continuous  flow systems,  the  effect of biomass
variation and order of reaction cannot be  separated by simply measuring steady-
state concentrations profiles.  It is  shown here that in practice these measure-
ments only lead to some average kinetics for  the system  observed, even  when the
microbe distribution is measured  independently-   Previously  published experi-
mental data in conjunction with a derived  expression are used to illustrate the
point.


76:02G-107
POTASSIUM RELEASE FROM SAND, SILT, AND CLAY SOIL SEPARATES,
Munn, D.A., Wilding, L.P., and McLean, E.O.
North Carolina State University,  Department of Soil Science, Raleigh, North
Carolina.
Soil Science Society of America Journal, Vol.  40,  No.  3,  p  364-366, May-June
1976.  6 tab, 10 ref.

Descriptors:  Soils, Soil investigation, *Potassium, Soil texture, Soil proper-
ties. Soil chemistry. Nutrients,  Soil  chemical properties,  Particle size.

Four Ohio soils of divergent mineralogy  were  fractionated into sand,  silt, and
clay-sized separates after dispersion  with an ultrasonic probe.  Samples were
extracted for 10 days with 0.01M  CaC12 with the  solution being changed  each day.
There was a wide range in daily and  cumulative K release among the four soils
for  the same particle size and for different  particle sizes  within the  same
soil.  When weighted according to particle size  distribution of the soil, the
clay was found to contribute 30-74%;  silt  24-56%;  and sand  3-21% of the total
K released by the sum of the three separates.  In  all four  soils, the clay
separate released the most K per  unit  weight.  The apparent  rate constants for
K release from the sand and clay  separates were  similar  and  generally higher
than that for the silt separates.


76.-02G-108
WATER CONTENT AND BULK DENSITY DURING  WETTING OF A BENTONITE-SILT COLUMN,
Nofziger, D.L., and Swartzendruber,  D.
Oklahoma State University, Department  of Agronomy, Stillwater, Oklahoma.
Soil Science Society of America Journal, Vol.  40,  No.  3,  p  345-348, May-June.
1976.  6 fig, 14 ref.

Descriptors:  *Soil moisture,  Soil water,  Bulk density,  Soil water movement,
Soils, Soil properties, Clays, Seepage,  Saturated  flow,  Unsaturated flow.

An improved method of dual-energy gamma-ray attenuation  was  used to measure
water content and bulk density rapidly and accurately, during one-dimensional,
unsaturated water movement into a column of an equal-part mixture of  initially
air-dry, highly swelling bentonite and silt.   The  bulk density near the inlet
end of the column decreased rapidly  as water  entered.  Since the ends of the
column were confined, the expansion  of the wetted  bentonite-silt produced a
compression in the remaining air-dry portion  of  the column.   Several  water-
content variables were plotted against the so-called reduced material coordi-
nate m/t(l/2) (Boltzmann variable expressed in terms of  the  material  coordinate
m and time t) .  Neither the volumetric water  content not the volumetric water
ratio would coalesce the data  when plotted against m/t(l/2).  In contrast, a
plot of water saturation vs. m/t(l/2)  did  coalesce the data  into a single curve,
                                               73

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except for very early times at positions  nearer than 1 cm to the water  inlet.


76:020-109
DENITRIFICATION KINETICS IN SOIL SYSTEMS:  THE SIGNIFICANCE OF GOOD  FITS OF
DATA TO MATHEMATICAL FORMS,
Kohl, D.H., Vithayathil, F. , Whitlow, P-, Shearer, G., and Chien, S.H.
Washington University, Department of Biology.- Saint Louis, Missouri.
Soil Science Society of America Journal, Vol. 40, No. 2, p 249-253,  March-April
1976.  5 fig, 10 ref.

Descriptors:  Denitrification, Kinetics, Soils, Soil properties, Saturation.

The loss of N03(-) added to two central  Illinois soils was determined  in exper-
iments in which the soils were incubated under waterlogged conditions.   The
loss was measured as a function of substrate concentration in one experiment  in
which samples were incubated for a single time (24 hours) and as a function of
time in a second experiment in which the concentration of the added  NO3(-) was
held constant  (200 ppm N03(-)-N).  The rate of loss of N03(-) was about  5.5
times higher in one of the soils than in the other.  This difference was large-
ly overcome by the addition of glucose  (1% with respect to the soil) which also
greatly enhanced the rate of denitrification in both soils.  The experimental
points representing the rate of N03(-) loss plotted as a function of the con-
centration of added N03(-), were equally well fit by Michaelis-Menten  and expo-
nential equations as well as by the solution to a pair of nonlinear  differential
equations representing a system in which the product of one reaction is  a sub-
strate in a second sequence.


76-.02G-110
THE  RESISTANCE OF INTACT MAIZE ROOTS TO WATER FLOW,
So,  H.B., Aylmore, L.A.G., and Quirk, J.P-
New  England University, Department of Agronomy and Soil Science, Armidale, New
South Wales, Australia.
Soil Science Society of America Journal, Vol. 40, No. 2, p 222-225, March-April
1976.  2 fig,  3 tab, 9 ref.

Descriptors:  Tensiometers, Maize, Root  systems. Soil water, Soil water  move-
ment.

Using a novel tensiometer-potometer system relationship between the  root resis-
tance to water flow of maize and the water potential of the root tissue  has
been examined.  Over the range of water  potentials used, a linear relation has
been observed in contrast  to previous observations.  Calculations using published
data indicate that the rhizosphere resistance is of the same order of  magnitude
as the root resistance when the soil moisture potential of the rhizosphere is
about -1 to -2 bars.


76:026-111
CORRELATION OF PLANT MANGANESE WITH EXTRACTABLE SOIL MANGANESE AND SOIL  FACTORS,
Randall, G.W., Schlute, E.E., and Corey, R.B.
Minnesota University, Southern Experiment Station, Waseca, Minnesota.
Soil Science Society of America Journal, Vol. 40, No. 2, p 282-287,  March-April
1976.  6 tab, 19 ref.

Descriptors:  *Manganese, Soils, Soil properties, Soil chemical properties,
Oats, Organic matter, Greenhouses, Soil  investigations, Wisconsin.

The availability of Mn on 37 low and 20  high organic matter Wisconsin  soils was
determined by growing oats and ryegrass, respectively, in consecutive greenhouse
studies.  The Mn uptake values were used to develop prediction equations by
means of multiple regression analysis with Mn extracted by various extracting
solutions  (18 extractants for the low and 13 for the high organic matter soils)
plus various functions of soil pH and organic matter as the independent  varia-
bles.  On the low organic matter soils  (O.M. < 6%), using only the Mn  test, the
best prediction values with uptake were  obtained with total Mn, and  with the
0.1N H3P04 and 0.01M EDTA in IN NH40AC extractants  (sq R = 57, 50 and  49%,
                                              74

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respectively) .  Inclusion of  soil  pH  and  organic  matter  with the  soil  test  values
resulted in Mn uptake being predicted best  by the 0.01M  and  0.05M EDTA extract-
ants (sq R = 68% for both).   The contribution of  the soil  test in the  prediction
equation was strongest when the O.lN  H3P04,  0.01M EDTA in  IN NH40Ac, oTflSM  EDTA
or DTPA (pH 7.3) extractants  were  used.


76:020-112
EXCHANGE AND HYDRATION PROPERTIES  OF  CU(2+)  ON MIXED-ION NA(+)  -  CU(2+) SMECITES
McBride, M.B.
Cornell University, Department of  Agronomy,  Ithaca,  New  York.
Soil Science Society of America Journal,  Vol.  40, No.  3, p 452-456, May-June
1976.  4 fig, 1 tab, 20 ref.

Descriptors:  *Cation adsorption,  *X-ray  diffraction,  Clays, Montmorillonite,
Soils, Soil investigations. Soil properties,  Soil chemistry.

The exchange of Na(+)-montmorillonite with  Cu(2+) was  studied using X-ray
diffraction, electron spin resonance  (ESR)  and a  specific  Cu(2+)  electrode  in
order to investigate the hydration and exchange properties of mixed Cu(2+)  -Na(+)
clay systems.  With < 30% of  the exchange sites occupied by  Cu(2+), the clays
behave much as pure Na(+)-montmorillonite and swell  freely in water.   Larger
exchange levels of Cu(2+) produce  more ordered interlayers at low relative  humid-
ities.  At high relative humidities,  this ordered structure  is reduced and  a
solution-like environment is  produced as  the alumino-silicate sheets further
separate.  Exchange isotherms demonstrate a large preference for  Cu(2+) over
Na(+) at low  Cu(2+) exchange levels, but preference for Na(+)  at high Cu(2+)
levels.  In contrast, Cu(2+)  - Mg(2+) exchange does  not  show this effect,
indicating that certain exchange sites on the silicate structure  preferentially
adsorb divalent cations.  Thus, Cu(2+)  ions are effectively  removed from solution
by Na(+) - montmorillonite, but are not adsorbed  in  preference to other divalent
cations.


76:026-113
SOLUTION OF THE ONE-DIMENSIONAL LINEAR MOISTURE FLOW EQUATION WITH IMPLICIT
WATER EXTRACTION FUNCTIONS,
Lomen, D.O., and Warrick, A.W.
Arizona University, Department of  Mathematics, Tucson, Arizona.
Soil Science Society of America Journal,  Vol,  40, No.  3, p 342-344, May-June
1976.  3 fig, 2 tab, 4 ref.

Descriptors:  Model studies,  Soil  water,  Soil water  movement,  Soil moisture,
Irrigation, Irrigation effects.

Analytical solutions of the one-dimensional steady-state moisture flow equation
are presented for several functions modeling soil water  extraction.  These
functions depend directly on  the matric flux potential and thus are implicit with
depth.  A constant surface flux was assumed.   Graphs of  the  matric flux potential
and cumulative uptake are given depicting the effect of  model parameters and
comparing different water extraction  functions.  The results are  useful in
obtaining a variety of water  extraction distributions.


 76:02G-114
WATER TRANSPORT FROM ROOTS TO SOIL,
Molz, F.J.,  and Peterson,  C.M.
Auburn  University, Department of  Civil Engineering,  Auburn,  Alabama.
Agronomy Journal, Vol.  68,  No.  6,  p 901-904, November 1976.   4 fig,  20 ref.

Descriptors:  Root systems,  Root  zone, Soil water, Soil  moisture. Cotton,  Soil
water movement, Mathematical  models.  Model  studies,  Hysteresis.

Numerous studies have  indicated that water  can flow from roots to soil (negative
direction) but  little  can  be  concluded about the magnitude of such a  flow.
Therefore, experiments were  performed on potted cotton plants to  compare  the
magnitude of water transport  in the positive  (soil to roots) and  negative
directions.  Experimental  results  were also compared qualitatively with the
predictions derived from mathematical models simulating  root water uptake.   Each
                                               75

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plant was left unwatered in an environmental chamber to dry the soil from field
capacity to near the --15 bar percentage.  After drying, the stem was severed
under water and the resulting water flow from roots to soil recorded by weight
changes.  Results indicated that water flow in the negative direction is small
(1:36 during a 110-hour period) compared to flow in the positive direction.  This
difference is thought to be due to a hysteretic, unsaturated, and possibly non-
Darcian flow phenomenon or the generation of growth-related water potentials.
Contemporary mathematical water extraction models ignore both phenomena and,
therefore, would be expected to overestimate flows in the negative direction
if "calibrated" to predict correctly flows in the positive direction.


76:02G-115
SHALLOW SUBSURFACE DRAINAGE-FIELD PERFORMANCE.
Fausey, N.R. and Brehm, R.D.
Agricultural Research Service, United States Department of Agriculture,
Department of Soil Science, North Central Region.
Transactions of the American Society of Agricultural Engineers, Soil and Water,
p 1082-1084, Special Edition 1976.  3 fig, 2 tab, 8 ref.

Descriptors:  *Subsurface drainage, *Drainage, Drainage practices, Drainage
effects. Soil water.

This field study shows that shallow subsurface drains (40 cm deep) remove as much
soil water as deeper drains (95 cm deep) during the growing season in the Toledo
soil.  There was no structural damage to the shallow plastic draintubes from
farming operations.  Thus, shallow drainage systems offer great promise as a
drainage technique for a large group of soils for which subsurface drainage is
not now recommended.


76:020-116
GRAIN  SORGHUM RESPONSE TO INUNDATION AT THREE GROWTH STAGES,
Howell, T.A., Hiler, E.A., Zolezzi, 0., and Ravelo, C.
Texas  A & M University, Department of Agricultural Engineering, College Station,
Texas.
Transactions of the American Society of Agricultural Engineers, Soil and Water,
p 876-880, Special Edition, 1976.  4 fig, 3 tab, 14 ref.

Descriptors:  *Grain sorghum,  Crop response. Crop production, Drainage, Drainage
practices.

Drainage design is often limited by characterizing the crop response to specific
water  inputs.  This research evaluated grain sorghum response to inundation
periods of twelve days at the early vegetative, early boot, and heating growth
stages for grain sorghum.  Twelve days of inundation at early vegetative growth
reduced the plant stand by 5 percent and yield by 30 percent.  Inundation for
12 days at the early boot stage reduced the plant stand by 2 percent and yield
by 26 percent.  Inundations after grain sorghum heading did not reduce yield.
Inundation may cause further yield reduction by physical damage to the crop such
as lodging and by increased time to maturity.


76:026-117
DIFFUSION AND MASS FLOW OF NITRATE-NITROGEN INTO CORN ROOTS GROWN UNDER FIELD
CONDITIONS,
NaNagara, T., Phillips, R.E.,  and Leggett, J.E.
Royal Thai Ministry of Agriculture, Department of Agronomy, Bangkok, Thailand.
Agronomy Journal, Vol. 68, No. 1, p 67-72, January-February 1976. 4 fig, 3 tab,
10 ref.

Descriptors:  Nitrogen, Nitrate, Corn, Crop response, Nutrients, Fertilizers,
Fertilization, Mass flow, Model studies.

Nitrate-nitrogen, the most important source of N of non-leguminous plants, is
soluble in soil water and is transported to plant roots by both mass flow and dif-
fusion.  It is, therefore, important to evaluate the relative importance of each
of these two mechanisms of transport of N03(-)N to plant roots and the environ-
                                              76

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mental conditions under which each is the dominant mechanism of transport.   The
elective of this paper was  to present measurements of plant and soil parameters
necessary for estimating  accumulation of N grown under field conditions  with the
use of a theoretical model and to compare estimates of accumulation of N in the
corn plant with measured  accumulation in the plant.
76:02G-118
SUBSOIL CHISELING AND  SLIP PLOWING EFFECTS ON SOIL PROPERTIES AND WHEAT  GROWN  ON
A STRATIFIED FINE SANDY SOIL,
Kaddah, M.T.
Imperial Valley  Conservation Research Center, Department of Soil Science,  Brawley,
California  92227
Agronomy Journal, Vol.  68, NO.  1,  p 36-39, January-February 1976. 3  fig,  2 tab,
14 ref.

Descriptors:   Soil  physical properties,  Soil properties, Wheat,  Soil investigations,
California, Crop response, Infiltration, Bulk density,  Root development.

Positive crop  growth response to deep tillage in sandy  soils has been observed in
Imperial Valley, California.  Very little information is available,  however, on
the  effect  of  different deep tillage operations and the possible causes  of the
beneficial  effects  of  deep tillage.  The present field  study was conducted on  a
stratified  fine  sandy  soil to evaluate the effect of subsoil chiseling and slip
plowing to  a depth  of  90 cm on wheat yield and soil properties.   Conventional  soil
disking to  20  cm depth was compared with two subsoil chiseling and two slip plow-
ing  treatments.  Subsoil chiseling was on 1-m centers in one and in  two  directions,
and  slip plowing was on 2-m centers in one or two directions.  The two directions
of deep tillage  were at right angles to each other.  Significant increases in
wheat  yield resulted from deep tillage.   Grain yield (metric tons/ha)  were: 4.50
for  disking; 5.15 for  subsoil chiseling in two directions;  5.73 for  slip plowing
one  direction; and  6.32 for slip plowing in two directions.
 76:026-119
 SOIL PHYSICAL CONDITIONS AFFECTING RICE ROOT GROWTH: BULK DENSITY AND SUBMERGED
 SOIL TEMPERATURE REGIME EFFECTS,
 Kar, S.,  Varade, S.B.,  Subramanyam, T.K., and Ghildyal, B.P.
 Indian Institute of Technology, Department of Agricultural Engineering,  Kharagpur,
 West Bengal,  India.
 Agronomy Journal, Vol.  68, No. 1, p 23-26, January-February 1976. 5 tab,  15  ref.

 Descriptors:   Root development, Rice, Soil physical properties, Bulk density,
 Temperature,  Greenhouse experiments.

 Information is lacking on the performance of the rice plant due to variations  in
 temperature regimes in association with other soil physical properties.   This  in-
 vestigation,  carried out under controlled greenhouse conditions, evaluate the
 influence of temperature and mechanical impedance of soil, as well as of  their
 interaction,  on root and shoot growth of rice.  Four submerged soil temperature
 regimes thermoregulated in water baths, indicated that the maximum root  and
 shoot growth of rice occurred at 37 to 25 C.  Irrespective of the bulk density of
 soil, the total number of roots at the base and the dry weight and volume of the
 rice root system significantly increased as the submerged soil temperature regime
 increased from 27 to 15 C to 37 to 25 C, but decreased at 42 to 30 C.
 76:02G-120
 SATURATED AND UNSATURATED FLOW TO PARALLEL DRAINS,
                                , Department of Geological and Agricultural Engin-

 Journai        irSiSr^Sialnage Division, Vol. 102, No. IR2, P 221-238,
 June 1976.   14 fig, 19 ref
                                               77

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Descriptors:  Drainage, Drainage engineering, Drainage practices, Soil water move-
ment, Soil properties, Hydraulic conductivity. Drainage effects, Drainage  systems.

The purpose of this paper is to present solutions to the two-dimensional Richards
equation for open ditch drainage and to compare these solutions with conventional
more approximate methods.  Specifically the objectives are to:  (1) Solve the
Richards equation for drainage boundary conditions using numerical methods devel-
oped by Amerman  (1);  (2) compare these solutions to solutions to solutions of
the more approximate Boussinesq equation, which are normally used for drain spac-
ing predictions; and  (3) determine the effect of error in the soil properties on
the solutions and to examine the relative merits of the exact and approximate
methods in view of the field variability of these properties.


76:02G-121
SOLUTIONS TO GREEN-AMPT INFILTRATION EQUATION,
Li, R., Stevens, M.A. and Simons, D.B.
Colorado State University.- Department of Civil Engineering, Fort Collins,  Colorado.
Journal of the Irrigation and Drainage Division, Vol. 102, No. IR2, p 239-248,
June 1976.  1 fig, 1 tab, 14 ref.

Descriptors:  Infiltration, Soil water movement, Mathematical studies.

Two  simple methods of solving the one-dimensional infiltration equations have been
developed in this study.  The explicit solution is an approximation obtained by
employing a power series expansion of the logarithmic term in the infiltration
equation.  The maximum error resulting from employing this simple explicit solution
is 8%.  The implicit  'exact' solution is obtained by refining the explicit sol-
ution  using the  second-order Newton method.  The maximum error resulting from
employing the implicit solution is 0.03%.  These new methods have advantages over
other  solutions  in that they are derived from the theory of power series expan-
sion and the errors due to approximation can be evaluated theoretically.   More-
over,  the two methods are simple and easy to use either with a desk calculator
or in  a digital  computer, and they are applicable without limitation on ranges.
 76:02G-122
 MISCIBLE  DISPLACEMENT IN SOILS,
 Smajstrla, A.G., Barnes, P.L., and Reddell, D.L.
 Texas A and M University, Department of Agricultural Engineering, College Station,
 Texas.
 Presented at the 1976 Winter Meeting of the American Society of Agricultural
 Engineers, December 14-17, 1976, Chicago, Illinois.  21 p, 8 fig, 1 tab, 6 equ,
 8 ref.

 Descriptors:  Soil properties. Ions, Soil chemistry, Soil water movement.

 A description of field experimental plots being used to determine soil hydrologic
 properties and  to monitor movement of ions in solution is presented.  Steps in
 the analysis of field data are also itemized, including calculation of soil hydro-
 logic characteristic curves and the calibration procedures required for the instru-
 mentation described.


 76:02G-123
 WATER AND AIR MOVEMENT IN A BOUNDED DEEP HOMOGENEOUS SOIL,
 Sonu, J. and Morel-Seytoux, H.J.
 Seoul National University, Department of Civil Engineering, Seoul, Korea.
 Journal of Hydrology,  Vol. 29, p 23-42, 1976. 14 fig, 23 ref.

 Descriptors:   Infiltration, Soil moisture. Soil water. Water table, Soil properties.

A methodology,  based on the knowledge of the characteristic curves of the soil, is
presented to predict the infiltration rate into a soil, the evolution of the water
content in the soil and the evolution of the water table under natural hydrological
boundary conditions.   Comparison with experimental results shows the method to be
accurate.   In filtration rate curves are obtained for a number of situations
                                              78

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involving different boundary  and/or  initial  conditions.   The results confirm the
known experimental facts and  the  field  observations that soil-air behavior is an
important factor in infiltration  phenomena.


76:020-124
CALCULATION AND PREDICTION OF THE SALT  REGIME OF LOWLAND SOILS  UNDER INFLUENCE
OF GROUNDWATER SALINIZATION,
Plamenac, N., Vikovik, M., and Matic, M,
'Jaroslav Cerni1 Institute for Development of Water Resources,  Belgrad,  Yugoslavia.
Proceedings, of the International  Salinity Conference,  Texas  Tech University,
Lubbock, Texas, August 16-20, 1976,  p 277-289, 9 fig,  5  ref.

Descriptors:  Salinity, Saline soil, Soil properties,  Clays,  Salt balance,  Salts,
Soil water, River systems, Groundwater.

The area of lowland alluvial  plain along  the Danube in the zone of Belgrade is
provided with embankments controlling the river floods that  results in occurrence
of secondary salinization of  the  soil.  Owing to the construction of the 'Djerdap'
large hydroelectric power plant,  the water level regime  in the  river is  being
changed during minimum and medium discharges.  This may  result  in aggravating the
groundwater regime and in accelerating  the process of soil salinization.   In  order
to realize the rate of salinization  in  altered conditions and to estimate  the
influence of various measures, calculation and prediction of the salt regime  of
lowland soils has been made.  The area  considered is,  in hydraulic view, a two-
layer porous medium with  clay prevailing  in  the surface  layer.   The lower,  water-
bearing layer, being hydraulically linked with the Danube, consists of sand and
gravel.  For such hydrogeological conditions a methodology is elaborated for  cal-
culation of the groundwater regime,'  presented the basis  for  calculation  and pre-
diction of the salt regime of lowland  soils  in given conditions.
 76:026-125
 MANAGING  SALINE  WATER FOR IRRIGATION,
 Texas  Tech  University,  International Center for Arid and Semi-Arid Land  Studies,
 Lubbock,  Texas
 Proceedings of the  International Salinity Conference, Texas Tech University,
 Lubbock,  Texas,  August 16-20,  1976.  618 p.
 (see 76:05C-002)


 76:02G-126
 RESISTANCE  TO SODA  SALINIZATION OF SOME IRAQI SOILS,
 Alzubaidi,  A.H.
 College of  Agriculture,  Department of Soil, Abu-Ghraib,  Iraq.
 Proceedings of the  International Salinity Conference, Texas Tech University,
 Lubbock,  Texas,  August 16-20,  1976,  p 333-338. 2 tab, 10 ref.

 Descriptors:  Irrigation water. Soil properties, Calcium, Magnesium,  Soil  Chem-
 istry, Saline water.

 In evaluation of irrigation water containing soda, it is not sufficient  to deter-
 mine only the Residual Sodium Carbonate (RSC) according to Eaton.   Soil  resis-
 tence  to  soda formation values (c-values)  which consider the soil properties
 must also be determined.   Soil resistance to soda formation for thirty-eight  soil
 samples collected from different locations of Iraq were tested accordingly in
 this work.   The  obtained results show that most of these samples have weak to
 moderate  resistance to soda formation.   Soil samples with no resistance  to soda
 formation were not  noticed.  The value of soil resistance to soda formation are
 determined  by the amount of soluble and exchangeable calcium and magnesium in
 soil samples.  According to our findings irrigation water and saline  water con-
 taining soda could  be used under Iraqi conditions for irrigation of some saline
 soils  and during the first stages of their reclamation.   The obtained data of
 this work have a considerable value in evaluation of saline water containing
 soda for  irrigation and reclamation purposes.
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76:02G-127
MODELS FOR PREDICTING THE IMPACT OF IRRIGATION ON SOIL SALINITY,
Bresler, E.
Agricultural Research Organization, Institute of Soils and Water, Division  of  Soil
Physics, Bet Dagan, Israel, and The Hebrew University of Jerusalem,  Israel.
Proceedings of the International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20, 1976, p 299-315. 7 fig, 13 ref.

Descriptors:  Model studies, Salinity, Salts, Irrigation, Irrigation effects,
Saline soil, Simulation analysis, Soil physical properties, Hydraulic conductivity,
Soil water. Computer programs, Optimization.

Prediction of salinization and sodication for irrigated soils is important  in  esta-
blishing management practice directed toward reclamation of saline soils.  Models
are used which approximate the physical soil conditions by mathematical expressions
describing the simultaneous transport of water and salt.  The governing non-linear
partial differential equations are supplemented by initial and boundary conditions
appropriate to soil salinization and reclamation.


76:02G-128
CONVECTIVE TRANSPORT OF SOLUTES IN AND BELOW THE ROOT ZONE.
Raats, P.A.C.
United States Salinity Laboratory, Riverside, California.
Proceedings of the International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20, 1976, p 290-298. 4 fig, 10 ref.

Descriptors:  Return flow, Salinity, Saline water'; Irrigation, Irrigation effects,
Water quality, Dissolved solids, Root zone.

The first objective of research related to the management of saline water for  irri-
gation is to find the space-time trajectories of bits of water.  The second objec-
tive is to determine the change in quality of these bits of water, in particular
the changes in solute concentration due to evaporation at or near the soil surface
and selective uptake of water by plant roots.  Within the root zone, the details
of the water movement and of the changes in concentration depend on the relative
magnitude of the components of the water balance, on the distribution of the water
uptake, and on the irrigation frequency.  Below the1 root zone, the water table and
the drainage facility.  If the drains or ditches are widely spaced relative to the
depth of the first impermeable layer, then the influence of the details of the flow
near the drains or ditches is small, and the transit times tend to be exponentially
distributed.  This in turn implies some simple input/output relationships and pro-
vides a good reference for comparison of more complicated geometries and distribu-
tions of inputs and outputs.
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                                   SECTION  VIII

                                   WATER CYCLE

                                LAKES  (GROUP  02H)


76:02H-001
A CHLOROPHYLL A MODEL AND ITS RELATIONSHIP TO PHOSPHORUS LOADING PLOTS FOR LAKES,
Chapra, S.C. and Tarapchak, S.J.
Great Lakes Environmental Research Laboratory, National Oceanic and Atmospheric
Administration, Ann Arbor, Michigan  48104
Water Resources, Research, Vol. 12,  No. 6,  p  1260-1264, December 1976. 4 fig,
2 tab, 21 ref.

Descriptors:  Chlorophyll, Model  Studies,  Phosphorus,  Sedimentation, Sediments,
Eutrophication, Lake beds. Lake sediments.

A model predicting the  summer concentration of chlorophyll  a  in a phosphorus-
limited lake is derived from simple  empirical and semitheoretical relationships.
The model is rearranged and expressed  as a phosphorus  loading plot which agrees
closely with the predictions of Vollenweider's model.  The  model can be used to
gain  insight into the phosphorus  loading concept.   The primary conclusion is that
a lake's tolerance to phosphorus  loading is a function of two processes: sedimen-
tation and  flushing rate.  At low areal water loads, in-lake  forces which remove
phosphorus  to the sediments predominate.   A high areal water  loads, flushing of
phosphorus  through the  lake's outlet is the factor governing  eutrophication.  The
importance  of the steady state assumption  is  also demonstrated by using data for
Lake  Washington.
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                                    SECTION IX

                                    WATER CYCLE

                          WATER AND PLANTS (GROUP 021)


76:021-001
LEAD EFFECTS ON SEVERAL ENZYMES AND NITROGENOUS COMPOUNDS IN SOYBEAN LEAF,
Lee, K.C., Cunningham, B.A., Chung, K.H., Paulsen, G.M., and Liang, G.H.
Chung-Hsin University, Taiwan.
Journal of Environmental Quality, Vol. 5, No. 4, p 357-359, October-December
1976.  3 tab, 24 ref.

Descriptors:  *Enzymes, *Lead, *Heavy metals. Soybeans, Ammonia, Proteins,
Calcium, Phosphorus, Leaves, Respiration.

To obtain further evidence on the nature of lead toxicity in plants, the Pb(2+)
effect of several enzyme activities and nitrogenous compounds in soybean was
investigated.  Soybean seedlings were grown in culture solution treated with
lead nitrate so that final concentrations of lead Pb(2+) were 0, 20, 60, and
100 mg/liter.  Soybean leaves were analyzed 10 days after lead was added to the
solution.  Results showed increased respiration rate, increased activities of
acid phosphatase, peroxidase and alpha-amylase, and increases in soluble protein
and ammonia.  There was no significant change in malic dehydrogenase, and total
free amino acids.  A decrease was observed for glutamine synthetase activity
and nitrate.  Leaf calcium and phosphorus decreased as the lead concentration
was increased in the culture solution.  Increased activities of the hydrolytic
enzymes and peroxidase indicates that the lead treatment enhances senescence.


76:021-002
SIMULATION OF PLANT GROWTH BY HUMIC SUBSTANCES,
Lee, Y.S., and Bartlett, R.J.
Vermont University, Department of Plant and Soil Science, Burlington, Vermont.
Soil Science Society of America Journal, Vol. 40, No. 6, p 876-879, November-
December 1976.  1 fig, 6 tab, 15 ref.

Descriptors:  Organic matter, Corn, Algae, Nutrients, Phosphorus, Iron, Growth
rates. Crop response.

Ilumic substances prepared by different techniques of extraction and from differ-
ent sources of organic materials were tested for their effects on growth of corn
seedlings and algae.  Stimulating effects were confirmed with optimum concentra-
tions about 5 ppm C as Na-humate for corn and 60 ppm for algae.  With corn, the
increase was 30 to 50% in nutrient solution of low organic matter soil; with
algae, about 100%.  Variation of effects among humic acids derived from different
organic materials was not great.  The concentrations of elements in corn seed-
lings did not show any correlation with yield or humic acid level except for P
and Fe.  Phosphorus concentration was increased with increasing levels of humic
acid regardless of the yield response.  Higher Fe concentration in the plant tops
and lower in roots was observed in the treatments with humic acid.  The applica-
tion of humic acid to a soil low in organic matter or to nutrient solution gave
the greatest growth response, or even a slightly negative response, indicating
that the natural soil, without extraction, supplied optimim amount of humic
substances to the plants.   It is suggested that a test be developed to predict
whether a given soil can furnish an optimum level of humic substances.


76:021-003
INTERACTION OF WATER POTENTIAL AND TEMPERATURE  EFFECTS  ON  GERMINATION  OF THREE
SEMI-ARID PLANT SPECIES,
Sharma, M.L.
Commonwealth Scientific and  Industrial  Research  Organization,  Division of  Land
Resources Management, Wembley, Australia.
Agronomy Journal, Vol. 68, No. 2, p  390-394, March-April 1976.   2  fig,  1 tab,
16 ref.
                                              82

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Descriptors:  "Osmotic pressure,  *Germination,  Temperature,  *Soil  moisture,
Planting management, Semiarid  climates,  Environmental  effects.  Moisture  stress
Thermal stress, *Australia,  Grasses,  Shrubs,  Viability.                        '

The interactive effects of temperature with matric and osmotic  potential on the
germination of Danthonia caespitosa,  Atriplex nummularia and  A.  vesicaria are
reported.  The rate and total  germination of  all three dryland  species from
New South Wales decreased as water  potential  declined.   Germination rates in-
creased with increasing temperature,  but final  germinations were greatest at
intermediate temperatures  (20-25  C>.   Low water potentials  during optimum
temperatures produced the best germination.  Osmotic and matric potential
effects were qualitatively similar,  but  osmotic inhibition  decreased at  low
temj*ratures.  Both Atriplex germinated  at extreme temperatures (5  and 40 C) ,
while D. Caespitosa failed to  germinate.   At  low water potential (-15 bars) A.
nummuralia germinated from 15  to  40C and  D.  caespitosa  at  25c,  while A.  vesi-
cara germinated poorly at all  temperatures.  A. nummularia  had  the  greatest
resistance to environmental  stress.   Atriplex spp may  germinate after rains
during summer as well as winter;  Danthonia germination is likely only during
spring and autumn.



76:021-004
YIELD-NUTRIENT ABSORPTION RELATIONSHIPS  AS AFFECTED BY ENVIRONMENTAL
GROWTH FACTORS,
Terman, G.L., Khasawneh, E.F., Allen S.E.,and Engelstad, O.P.
National Fertilizer Development Center,  Muscle  Shoals, Alabama.
Agronomy Journal, Vol. 68, No. 1, p 107-111,  January-February,  1976.
7  fig, 17ref.

Descriptors:  *Plant growth, *Nutrients,  *Crop  production,  *Soil temperature,
*Soil environment, Nitrogen, Phosphorus,  Corn(Field),  Oats, Growth  rates,
Root development, Soil management.  Crop  response. Absorption.

Temperature effects  on crop yield-nutrient concentration and uptake
relationships were evaluated in three greenhouse pot experiments and as
reported in the literature on  such  factors.  Several rates  of applied nitrogen
and phosphorous were weeks at  three combinations of day  length  and  temperature;
corn grown  for 4 weeks at water bath temperatures of 16  and 27C; and corn grown
for 3 and 6 weeks to compare P rates and temperatures  of 16 and 21C and  at
ambient temperatures  (25 to  35C).  Plant nutrient concentrations, especially of
P, increase with greater soil  temperatures in short-duration  experiments,
with little yield response to  temperature. Where marked yield  response  occurs,
dilution of plant nutrient concentrations but higher uptakeare  the  dominant
trends with temperature increase  up to the optimum for each crop species;  the
opposite trend usually occurs  at  nutrient release under  higher  temperatures
varies with the soil fertility level and amounts of applied in  uptake,
especially with nutrients having  limited mobility in the soil.


 76:021-005
 PHOTOSYNTHATE DISTRIBUTION  IN  NATURAL STANDS  OF SALT WATER CORDGRASS,
 Hull,  R.J., Sullivan,  D.M.,  and Lytle, R.W. Jr.
 Rhode  Island University,  Rhode Island Agricultural Experiment Station, Department
 of Plant and Soil  Science,  Kingston, Rhode Island 02881
 Agronomy Journal,  Vol.  68,  No. 6, p 969-972,  November-December  1976. 4 tab, 14 ref.

 Descriptors: Tidal marshes,  Estuarine environment, Grasses, Salt marshes.

 Spartina alterniflora  Loisel.is a major grass  species  of Atlantic coast  tidal
 marshes which contributes  heavily to the primary productivity of estaurine eco-
 systems.  As human activity increases in marsh areas,  the capability of  marsh
 vegetation  to withstand  disturbance must be understood and constitute the basis
 for  formulating  sound  management programs.  Toward this end,  the seasonal distri-
 bution of photoassimilated  carbon was studied  in S. alterniflora growing under
 natural  conditions.   Single culms were exposed to 14C02  at various times during
 the  1970 and 1971  growing seasons.   Plants were harvested 1,  3, and 7 days follow-
 ing  exposure to  13C02  subdivided into leaves,  culm, rhizomes, and roots; and
 each portion assayed  for  14C.   Assimilate  translocation reached a more or less
                                               83

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stable distribution pattern within 24 hours.  Throughout much of the  growing sea-
son, most photosynthate was retained in leaf and culm tissue with  less  than  10%
translocated to roots and rhizomes.  Only during early autumn was  substantial
photosynthate translocated into rhizomes.  This and seasonal carbohydrate  levels
within perennial organs indicate that the stability of S. alterniflora  stands
may be adversely affected by summer disturbance especially defoliation.
76:021-006
NITROGEN ACCUMULATION AND TRANSLOCATION IN CORN GENOTYPES FOLLOWING SILKING,
Beauchamp, E.G., Kannenberg, L.W. and Hunter, R.B.
Guelph University, Department of Soil Science, Guelph, Ontario, Canada.
Agronomy Journal, Vol. 68, No. 2, p 418-422, March-April 1976. 3 fig, 5 tab,  6  ref.

Descriptors:  Nitrogen, Fertilizers, Fertilization, Nutrients, Corn, Crop response,
Crop Production.

The potential for improvement of N utilization in corn can depend on the existence
of genotypic differences.  Accordingly studies were conducted to determine if N
translocation from the leaves and stalk to the ear during the period immediately
following silking depended on the genotype.  In 1970, the N concentration of
individual leaf blades, stalk, and developing ears of four inbreds was determined
at the silking stage and 14 and 28 days after silking.  In a similar experiment
in 1971, using bulked leaf blade samples, three of the inbreds plus their Fl hy-
brids were analyzed for N at silking and 24 days after silking.  In 1970, the
apparent translocation of N from individual leaf blades differed considerably
depending on the inbred.  Significant differences in N concentration in either
the stalks or developing ears occurred among genotypes in 1970 and 1971.  Apprec-
iable differences were found in the apparent propensity of the inbreds to trans-
locate N to the developing ear.  In 1970, apparent N translocation during the 14
to 28 day period was greater than during the first 14 days following silking.
The inbreds differed between years with respect to apparent N translocation sug-
gesting a genotype times environment interaction.


76:021-007
FIELD STUDIES OF THE CONDUCTANCE OF WHEAT LEAVES AND TRANSPIRATION,
Denmead, O.T. and Millar, B.D.
Commonwealth Scientific and Industrial Research Organization, Division of Environ-
mental Mechanics, P.O. Box 821, Canberra City, Australian Capital Territory 2601,
Australia
Agronomy Journal, Vol. 68, No. 2, p 307-311, March-April 1976. 4 fig, 9 ref.

Descriptors:  Wheat, Transpiration, Stomata.

Light and water stress appear to be the main factors determining the short-term
variation of stomatal aperture in the field but their joint influences have sel-
dom been studied in the natural environment.  We have examined the effects of the
irradiances and water potentials of leaves of field-grown wheat plants on their
conductances for water vapor and on canopy transpiration.  Water potentials were
measured by thermocouple psychrometry or estimated from water flow rates and plant
resistances.  Conductances were measured with a diffusion porometer or calculated
from meteorological measurements inside the canopy.  The latter data also per-
mitted calculation of leaf irradiances and transpiration rates.
76:021-008
NITROGEN UPTAKE CHARACTERISTICS OF CORN ROOTS AT LOW N CONCENTRATION AS INFLUENCED
BY PLANT AGE,
Edwards, J.H. and Barber, S.A.
United States Department of Agriculture, Southeastern Fruit and Tree Nut Research
Station, Byron, Georgia.
Agronomy Journal, Vol. 68, No. 1, p 17-19, January-February 1976. 1 fig, 2 tab,
9 ref.

Descriptors:  Nitrogen, Corn, Fertilizers, Fertilization, Roots, Soil investiga-
tions, Greenhouse experiments.
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Information is needed on the  relation  between concentration of N in  solution,  CN,
and the rate of N uptake by corn  roots in order to evaluate the soil and  crop
parameters affecting N fertilizer efficiency.   Data on net N influx. In,  vs. CN
were obtained for N levels below  150 micro M on corn plants of seven ages ranging
from 15 to 58 days  (2 weeks after tasseling).   it was determined by  measuring
rate of N depletion from the  solution  in which corn plants grew   Both NH+4  and
NO-3. forms of N were used.  The experiments were conducted in the growth  chamber
and greenhouse.


76:021-009
NITRATE-N AND TOTAL N CONCENTRATION RELATIONSHIPS IN SEVERAL PLANT SPECIES
Terman, G.L., Noggle, J.C., and Hunt,  C.M.                                '
Tennessee Valley Authority, National Fertilizer Development Center,  Soils and
Fertilizer Research Branch, Muscle Shoals, Alabama 35660
Agronomy Journal, Vol. 68, No. 4, p 556-560,  July-August 1976.  5 fig,  2 tab, 9 ref.

Descriptors:  Nitrate, Nitrogen,  Nutrients, Greenhouse experiments.  Corn, Phosphorus,
Potassium, Crop response.

Accumulation of N03-N in plants is important in regard to plant N nutritional
status, in the formation of NO2-N toxic to animals and people consuming the  plants,
and as a producer of lethal gas in silos.  This paper describes relationships
between N03-N and total N  concentrations in plants grown in several  greenhouse
pot experiments, as affected  largely by response to applied N and by continuing
growth.  Corn was grown in soil with 200 to 800 mg of N/pot and in nutrient  solu-
tions with 2 to 16  ppm of  N.   Both crops were harvested at 4-day intervals.
Spinach and mustard were grown in soil with several rates of N, P, and K, and  tall
fescue with 1.0 and 2.0 g  of  N/pot»


76:021-010
FOLIAR CONTENTS OF  SODIUM  AND CHLORIDE ON CITRUS ROOTSTOCKS IRRIGATION WITH  SALINE
WATER.
Cerda, A., Caro, M., Fernandez, F.G.,  and Guillen, M.G.
Centro de Edafologia y Biologia Aplicada del Segura, Department of Fertility and
Vegetal Nutrition,  Murcia, Spain.
Proceedings of the  International  Salinity Conference, Texas Tech University,
Lubbock Texas, August  16-20,  1976, p  155-164. 1 fig, 4 tab, 20 ref.

Descriptors:   Saline water,  Salinity,  Irrigation, Irrigation effects,    ium,
Chloride.

A greenhouse experiment was  conducted  with six citrus seedlings used as rootstock
 in containers  filled with  a  calcareous soil,  These seedlings were irrigated with
water  salinized differentially with NaCl.  As the experiment progressed,  the
 salinity  levels of  the water were increased except for the controls.  The experi-
ment was  carried out over  a  period of  13 months under differential irrigation
 treatment.  Leaf samples were collected 4 times during the experiment. Chemical
 analysis  of the leaf samples revealed  marked differences in Na and Cl content  due
 to seedling variety, salinity level of irrigation water, and length  of treatment
 period.   Leaf  samples  from Sour Orange seedlings contained the highest concen-
 tration of Cl.  Leaf samples from the  Cleopatra Mandarin seedlings contained the
 least  amount of Cl.  Leaf  samples from the Kinnow seedlings contained the highest
 amount of Na and those  from  the  Sour  Orange seedlings the least.
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                                     SECTION  X

                                   WATER CYCLE

                      EROSION AND SEDIMENTATION  (GROUP  02J)


76:02J-001
EROSION OF SELECTED HAWAII SOILS BY  SIMULATED RAINFALL,
Dangler, E.W., and El-Swaify, S.A.
Hawaii University, Department of Agronomy and Soil Science, Honolulu,  Hawaii.
Soil Science Society of America Journal, Vol. 40, No. 5, p 769-773,  September-
October 1976.  2 fig, 6 tab, 12 ref. ARS-USDA 12-14-5001-19,  12-14-5001-40.

Descriptors:  *Erosion, *Simulated rainfall, *Soil types, *Hawaii, Laboratory
tests, Soils, Soil erosion. Erosion  rates, Storms, Tropical regions, Runoff,
Rainfall.

Erodibilities, or K values of the universal  soil loss equation, were determined
for ten soils, representing five soil orders, on the islands  of Oahu and  Hawaii.
Two successive, simulated rainstorms were used, each with an  approximate  inten-
sity of 6.35 cm/hour and duration of 2 hours.  Values obtained covered the wide
range  from 0 to 0.60 metric tons/ha  per metric erosion  index  x 0.00774 and,  in
most cases, were higher for the second  (wet) than for the first  (dry)  storm.
Erodibility values for cropped Oahu  soils, belonging to four  soil orders, ranged
from 0 to 0.26 for dry storms and from 0.001 to 0.41 for wet  storms.   Values for
volcanic ash soils on Hawaii, belonging to only two orders, had the  considerably
wider  range of 0.08 to 0.60 for dry  storms and 0.07 to  0.51 for wet  storms.
Three  of these soils exhibited essentially the same credibility for  dry and wet
conditions.  Dry and wet values were combined to calculate a  weighted  mean
erodibility for each soil based on the distributions of natural rainfall  through-
out the year at the test sites.  The weighted erodibility of  a soil  at a  given
location was, in general, inversely  related  to the amount of  natural precipita-
tion at that location.


76:02J-002
EFFICIENCY OF NITROGEN, CARBON, AND  PHOSPHORUS RETENTION BY SMALL AGRICULTURAL
RESERVOIRS,
Gill, A.C., McHenry.- J.R., and Ritchie, J.C.
Agricultural Research Service, United States Department of Agriculture, Sediment-
ation Laboratory, Southern Region, Department of Chemistry, Oxford,  Mississippi.
Journal of Environmental Quality, Vol. 5, No. 3, p 310-315, July-September 1976
6  tab, 29 ref.

Descriptors:  *Nitrogen, *Carbon, *Phosphorus, *Reservoirs, Mississippi,  Nutri-
ents, Erosion, Sedimentation, Soils, Soil investigations.

Total N, total C, and readily available organic and inorganic P contents, and
particle-size distributions were determined for samples of soil and  sediments
collected from three agricultural watersheds in north Mississippi.   The total
quantities of N, P, C, and clay accumulated in the sediments  of each reservoir
were calculated.  These values were  compared with those calculated from soil
losses estimated by using the Universal Soil Loss Equation.   The results  showed
considerable variation between the percentages of plant nutrients and  of  soil
particles retained in the reservoirs.  These reservoirs were  highly  effective
in retaining eroded soil particles.  However, the percentages of soil  nutrients
retained in the reservoir sediments  were less than the  percentages of  retained
soil particles.


76:02J-003
EFFECT OF PORE WATER PRESSURE ON SAND SPLASH,
Sloneker,  L.L.,  Olson,  T.C.,  and Moldenhauer, W.C.
United States Department of Agriculture, Agricultural Research Service, Morris,
Minnesota.
Soil Science Society of America Journal, Vol. 40, No. 6, p 948-951,  November-
                                               86

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December 1976.  5 fig,  3  tab,  8  ref.

Descriptors:  *Pore water,  Sands,  Erosion,  Raindrops,  Rainfall.

We studied the effect of  pore-water pressure and particle-size distributions  on
the amount of sand splash and  on the instantaneous pressure changes  within  a
packed sand core caused by single water drops falling  on the surface.   Both
splash amounts and pore-water  pressure changes were affected by  particle  size
pore-water pressure before drop  impact, and by the direction of  approach  to the
pore-water pressure equilibrium.   Pore-water pressure  increases  from falling
water drops were generally greater when equilibrium pressures were approached
directly than when they were approached from minimum pressure.  Sand splash was
also generally greater  when equilibrium pressure was approached  directly.


76:02J-004
SPLASH EROSION OF PRIMARY PARTICLES AND AGGREGATES,
Kinnell, P.I.A.
Commonwealth Scientific and Industrial Research Organization, Sediment Transport
Group, Division of Soils, P.O. Box 639, Canberra City, Australian Capital
Territory 2601, Australia.
Soil Science Society of America  Journal, Vol. 40, No.  6, p 966-968,  November-
December 1976.  1 fig,  1  tab,  3  ref.

Descriptors:  *Eroslon, Rainfall, Soils, Soil properties, Soil investigations,
Soil tests. Precipitation.

The previously supposed similarity between primary particles and aggregates in
resisting splash erosion  was  shown to be partially incorrect. Mathematical
treatment of splash-cup data on  which the earlier conclusion was based showed
that for surfaces containing  aggregates, the quantity  of material lost per  unit
quantity of artificial  rainfall  varied with rainfall intensity;  a result  which
contrasts to observations for  primary particles.


76:02J-005
A PORTABLE RAINFALL  SIMULATOR FOR ERODIBILITY AND INFILTRATION MEASUREMENTS ON
REGGED TERRAIN,
Munn, J.R. Jr., and  Huntington,  G.L.
Klamath National Forest,  1215  South Main Street, Yreka, California.
Soil Science Society'of America  Journal, Vol. 40, No.  4, p 622-624,  July-August
1976.  1 fig, 1 tab,  17 ref.

Descriptors:  *Erosion, *lnfiltration, *Rainfall simulators, Rainfall-runoff
relationships, Rainfall.

A portable rainfall  simulator  for field study of erosion potential and infiltra-
tion on mountainous  terrain is described.  Polyethylene tubes produce  3.2-mm
drops which fall  2.5m  onto a  61  by 61 cm plot.  The maximum rainfall intensity
is 23 cm/hour.  A 16%  intensity  variation across the plot area was measured,
but the variation between separate simulated storms was < II for identical
intensity settings.  The  unit  us suited to one man operation on  slopes up to  60%.


76:02J-006
MINERALOGY AND RELATED  PARAMETERS OF FLUVIAL SUSPENDED SEDIMENTS IN  NORTHWESTERN
OHIO,
Wall, G.J., and Wilding,  L.P.
Guelph University, Department  of Soil Science, Agricultural Canada,  Ontario,
Canada.
Journal of Environmental  Quality, Vol. 5, No. 2, p 168-173, April-June 1976.
4 fig, 3 tab, 29 ref.

Descriptors:  Suspended solids,  Ohio, Sampling, X-ray  diffraction, Mineralogy,
Calcium carbonate, Water  quality. Sediments, Fluvial sediments,  Soil erosion,
Erosion.

Stream water samples were collected weekly for 17 months at eight sampling  sites
in the Maumee River  Basin to  characterize the clay mineralogy of the suspended
sediments and to determine the utility of mineralogy as a marker of  the source
 (rural, urban, geologic)  of the  sediments.   X-ray diffraction analysis of the
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clay-sized sediments indicated little seasonal or downstream variability in clay
mineral composition.  The quantities of mica, quartz, and vermiculite-chlorite
were 36 ± 5%, 29 ± 5%, and 20 ± 5%, respectively.  The quantities of  expandables,
interstratified, and kaolinite minerals were usually < 10%.  The cation  exchange
capacity  (CEC), amorphous, fine clay, and organic matter content of the  clay-
sized suspended sediments were approximately 44 meq/100 g, 4.4%, 25%,  respect-
ively.  Carbonate minerals were not detected in the clay-sized fraction.   The
2 to 50 micro m fraction was dominated by quartz in high flow periods  and second-
ary calcite in low flow periods.  The stream water was calculated to be  satura-
ted with calcium carbonate, thus calcite precipitation could be expected.


 76:02J-007
 EROSION  FOR  CORN TILLAGE  SYSTEMS,
 Siemens,  J.C.,  and  Oschwald, W.R.
 Illinois  University at Urbana-Champaign, Department of Agricultural Engineer-
 ing,  Urbana-Champaignm Illinois.
 Transactions  of the American Society of Agricultural Engineers, Vol.  19, No.  1,
 p  69-72,  January-February 1976.   3  fig, 6 tab, 14 ref.
 (See  76:03F-022)


 76:02J-008
 THE USE  OF MULTIPLE REGRESSION MODELS IN PREDICTING SEDIMENT YIELD,
 Weber, J.E.,  Gohrl, M.M.,  and Duckstein,L.
 Arizona  Univerisity,  Deptarment of  Management.  Tucson Arizona.
 Water Resources Bulletin,  Vol. 12,  No.l, p  1-17, February 1976. 9 fig,
 4  tab,  9  ref.

 Descriptors:   *Sediment yield, *Regression  analysis, *Model studies,
 *Watershed management, *Analytical  techniques, Design, Erosion, Particle size,
 Soil  types,  Statistics.

 Four  commonly used  models for predicting sediment yield were analyzed  and comp-
 ared  using   previously published  data.  Three of these models involved
 logarithmic  transformations.  Some  of the problems involved in transforming
 data  were discussed in the context  of logarithmic transformations.  The  test
 data  pertained to 39  watersheds in  11 western states, varying in size  from a
 few acres to  more than 50 square  miles.  Slope erosion is the only major
 sediment source in  these  watersheds.  Standard regressions using the  four
 models and test data  illustrated  the problems that may be caused by transfor-
 mations.  The standard regresssion  analysis and the economic loss function for
 predicting sedimetn yields.  If any transformation is made to satisfy  the
 normality assumptions of  linear regression  analysis, it should be determined
 from  the  distribution of  the sample residuals.


 76:02J-009
 TRIPOLYPHOSPHATE AND  PYROPHOSPHATE  HYDROLYSIS IN SEDIMENTS,
 Blanchar, R.W., and Riego, D.C.
 Monsanto  Philippines  Incorporated,  Makati,  Philippines
 Soil  Science  Society of America Journal, Vol. 40, No. 2, p 2250229,
 March-April  1976.   3  fig,  2 tab,  22 ref.

 Descriptors:   Sediments,  Sedimentation, Hydrolysis, Phosphate, Phosphorus,
 Nutrients.

 The rate  of hydrolysis of  tripolyphosphate  (TPP) and pyrophosphate  (PP)  in
 river, creek,  and lake sediments was determined.  Half-lives for the  hydrolysis
 of  TPP and PP ranged from 1.6 to  2.6 and 6.7 to 27.4 days, respectively.   The
 influence of  temperature,  biological activity, and pH on the rate of  TPP
 and PP hydrolysis was investigated  using  Flat Branch Creek sediment.  The rate
 of  TPP and PP hydrolysis  increased  with increasing temperature.  The  activation
 energy was 5.415 cal/mole  for TPP and 10,412 cal/mole for PP.  TPP and PP hyd-
 rolyzed slower in sedimetn which  had been autoclaved than in non-sterlized
 sediment.  The half-life  for TPP  hydrolysis was 1.76 day at pH 5, 1.61 day at
 pH  7, and 2,16 day at pH  9.  The  rate of PP hydrolysis was increased  as  pH
 increased as pH increased  from 5  to 7 to 9  as indicated by half-lives  of 13,7,
 10.0, and 7.3 days, respectively.   When  TPPwas added to the sediment  as a Ca5-
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 (P3010)2 precipitate,  the rate of hydrolysis was slower than when TPP was
added as a  solution.


76:02J-010
SEDIMENT YIELD-RUNOFF-DRAINAGE AREA RELATIONSHIPS IN THE UNITED STATES,
Dendy, F.E.,  and  Bolton,  G.C.
Agricultural  Research  Service, Sedimentation Laboratory.- Oxford, Mississippi.
Journal of  Soil and Water Conservation,  Vol. 31,"NO. 6, p 264-266,  November-
December 1976.  5 fig,  1  tab,  11 ref.

Descriptors:   *Sediment yield, *Watersheds  (Basins), *Drainage area,  Reservoirs,
Mathematical  studies,  Analytical techniques, Statistical methods,  Regression
analysis, Equations, Runoff, Annual, Large watersheds.  Small watersheds.

Watershed sediment yields, as  determined from sediment deposits in about  800
reservoirs, were  related  to drainage area size and mean annual runoff.  Average
 sediment yields per unit  of net drainage area were inversely proportional to the
 0.16 power  of drainage area.   Average sediment yields increased sharply to about
 1,860 tons  per square  mile of  drainage area as runoff increased from^ 0 to about
 2  inches, and then decreased as runoff increased from 2 to about 50 inches.


 76:02J-011
USE AND MISUSE OF THE  UNIVERSAL SOIL LOSS EQUATION,
 Wischmeier, W.H.
 Purdue University, Department  of Agricultural Engineering, Lafayette, Indiana.
 Journal of  Soil and Water Conservation,  Vol. 31, No. 1, p 5-9, January-February
 1976.  2 fig, 10  ref.

 Descriptors:   *Soil erosion, *Equations, *Erosion control, *Farm management,
 *Runoff, *Soil conservation, Sheet erosion. Sediment yield, Soil types, Rill
 erosion.

 The universal soil loss equation was designed to predict soil loss from sheet
 and rill erosion. Variables affecting this erosion are grouped under six major
 erosion factors related to erosive forces of rainfall and runoff,  inherent
 erodibility of a  particular soil, shape and slope characteristics  of  the  field,
 farm practices, and land  management.  The relation of a particular factor to
 soil loss is  often appreciably influenced by the levels at which other factors
 are present.   Computed soil loss is the best available estimate rather than an
 absolute value.   The  soil loss equation can be used to predict average annual
 soil movement to  guide the selection of suitable conservation practices,  to
 estimate the  comparative  utility of cropping systems, to determine optimum level
 of cropping and maximum tolerable slopes, and to provide soil loss data for
 erosional control needs.   The  researcher has to exercise judgment  in  selecting
 pertinent factor  values that will account for differences from averages and for
 differences from  field conditions and normal field operations.


 76:02J-012
 IMPROVED IMAGE-WELL TECHNIQUE  FOP. AQUIFER ANALYSIS,
 Chan, Y.K.
 Birmingham  University, Department of Civil  Engineering,  (England)
 Journal of  Hydrology,  Vol. 29, No. 1/2,  p 149-164, March 1976.  10 fig, 3 tab,
 7  ref, 1 append.

 Descriptors:   *Aquifers,   *Pumping, *Boundaries (Surfaces), *Drawdown,
 *Methodology, Theis equation,  Analytical techniques. Observation wells,
 Hydraulics.

'The conventional  image-well method does not yield accurate values  of  drawdown at
 large values  of elapsed time since the commencement of pumping, when  the  number
 of images required becomes too large from the computational point  of  view.  A
 reduction in  error can be achieved by selecting an alternative image  pattern;
 the actual  form of the pattern depends on the particular boundary  conditions.
 This improved image-well  method involves a rearrangement of the xmage pattern.
 It overcomes  the  inherent uncertainty of the conventional method of images as
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to whether the number of images used is adequate to include a particular range  of
time.  The improved method was tested at length by considering particular exmaples
for nonleaky and leaky aquifers with fully-penetrating constant-discharge wells.
Recommendations were made for a more efficient method of evaluating the integral
form of the well functions.


76:02J-013
SUSPENDED SEDIMENT FILTRATION CAPACITY OF SIMULATED VEGETATION,
Tollner, E.D., Barfield, B.J., Haan, C.T., and Kao, T.Y.
Kentucky University, Department of Agricultural Engineering, Lexington, Kentucky.
Transactions of the American Society of Agricultural Engineers, Soil and Water,
p 678-682, Special Edition 1976.  5 fig, 2 tab, 15 ref.

Descriptors:  Sediments, Sedimentation, Vegetation, Vegetation effects. Sediment
control. Open channel flow. Open channels.

An exponential power function relating the fraction of sediment in a simulated
rigid vegetal media to pertinent physical variables was developed using linear
regression techniques and various transformations.  Homogeneous' sediments and
nonsubmerging flows were studied.  The mean velocity was found to be the most
influential parameter on sediment trapping followed by the flow depth, particle
fall velocity, section length, and spacing hydraulic radius.  The spacing
hydraulic radius is a combination of the distance between two media elements
and depth of flow and is analogous to the hydraulic radius of an open rectangular
channel.  This term was observed to be a reasonably good predictor of the length
scale in shalle flows through the experimental media.  An equation similar in
form to Manning's equation utilizing the spacing hydraulic radius was observed
to be a good predictor of the mean flow velocity.


76:02J-014
PREDICTING PARTICLE-SIZE COMPOSITION OF ERODED SOIL,
Young, R.A., and Onstad, C.A.
Agricultural Research Service, United States Department of Agriculture,
Department of Agricultural Engineering, Morris, Minnesota.
Transactions of the American Society of Agricultural Engineers, Soil and Water,
p 1070-1075, Special Edition 1976.  2 fig, 3 tab, 22 ref.

Descriptors:  *Particle size,' Erosion, Organic matter, Pore pressure, Soils,
Soil investigations. Sediments.

A set of equations was developed for predicting particle-size distribution of
eroded soil, based on soil surface area and texture and considering organic
matter enrighment and the tendency of a soil to rill.  Three parameters—
particle-size distribution of the matrix soil, organic matter, and water
content at -15 bars pore pressure gave a good estimate of the expected
particle-size distribution.


76:02J-015
CORN-SOYBEAN TILLAGE SYSTEMS:  EROSION CONTROL, EFFECTS ON CROP PRODUCTION, COSTS,
Siemens, J.C. and Oschwald, W.R.
Illinois University, Department of Agricultural Engineering, Urbana, Illinois.
Presented at the 1976 Winter Meeting of the American Society of Agricultural
Engineers, December 14-17, 1976, Chicago, Illinois.  30 p, 7 fig, 23 tab, 12 ref.

Descriptors:  Erosion, Erosion runoff, Crop production, Corn, Soybeans, Soil
erosion, Economics.

Seven tillage systems for producing corn and soybeans were compared in terms of
erosion control,  effects on crop rpoduction, and cost.  Conservation tillage sys-
tems greatly reduced soil erosion.  Yields were sometimes less with conservation
tillage.   Total costs for the different systems were equivalent. (Skogerboe-
Colorado State)
                                             90

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76:02J-016
TWO-DIMENSIONAL MODEL OF EROSION FROM A WATERSHED,
Kuh, H-c, Reddell, D.L., and Hiler,  E.A.
Texas A and M University, Department of Agricultural  Engineering,  College  Station,
Texas.
Presented at the 1976 Winter Meeting of the  American  Society of Agricultural
Engineers, December 14-17,  1976, Chicago,  Illinois.   26  p,  3 fig,  2  tab, 6 ref.

Descriptors:  Model studies, Simulation analysis.  Sediments, Sedimentation, Erosion,
Watersheds, Watershed management.

A two-dimensional model of  erosion from a  small watershed is described.  The model
provides estimates of the amount of' sediment eroded from a watershed plus  the
areal distribution of erosion  or deposition  on the watershed.  Predicted values
are compared with measured  data from individual storms over an 11-year period with
excellent agreement.  Results  are  also  compared with  estimates of  erosion made by
the original and modified versions of the  Universal Soil Loss Equation.



76:02J-017
EFFECTS  OF DESIGN FACTORS SEDIMENTATION BASIN PERFORMANCE,
Pennell, A.B.,  and Larson,  C.L.
Minessota Department of Natural Resources, St. Paul,  Minnesota.
Paper No 76-2020, Presented at the Annual  Meeting of  the American  Society  of Civil
Engineers, June 27-30,  1976,  Lincoln, Nebraska, 6 fig, 26 ref.

Descriptors:   Sedimentation, Model studies,  Simulation analysis. Mathematical
studies,  Sediments, Sediment control.

A mathematical  model designed  to  evaluate  sedimentation  basin performance  as
affected by  variations  in design  factors  produces trap efficiency  curves showing
that, beyond capacity,  the  most significant factors  are  basin depth  and  length
of  detention time.  In  field application,  these factors  take on  a  higher degree
of  significance in  the  ability of the user to manipulate them as required  by
 site-specific  conditions  and trap efficiency goals.   Figures 3-6 reflect the
relationship of variations  in these factors in obtaining a desired output.  The
results  obtained are  limited in that they are based  on a mathematical model
developed with certain  assumptions described earlier.  Also, data  were not avail-
 able for testing the model.  Accordingly,  the absolute values as presented may
 be  somewhat  in error.   However, the comparative values and the relative  effects
 should be reliable.
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                                    SECTION XI

                                    WATER CYCLE

                          CHEMICAL PROCESSES (GROUP 02K)


 76:02K-001
 CALCIUM RETENTION  IN  RESPONSE TO PHOSPHATE SORPTION BY SOILS,
 Ryden,  J.C.,  and Syers,  J.K.
 Massey  University,  Department of Soil  Science, Palmerston,  North,  New Zealand.
 Soil  Science  Society  of  America Journal,  Vol.  40,  No.  6,  p  845-846,  November-
 December 1976.   1  tab,  8 ref.

 Descriptors:   *Sorption, Desorption, Precipitation,  Calcium,  Potassium,  Soil
 chemistry,  Soil  investigations.

 Retention of  Ca  increased in  response  to P sorption by soils,  but  was indepen-
 dent  of the amounts of  added  Ca.   Rather constant  values  were  obtained for the
 molar ration  of  Ca/P  retained (0.19 to 0.34).   Retained Ca  was essentially re-
 covered in 1M KCl  washings in contrast to the  fractional  recovery  of sorbed P.
 The retention of Ca in  response to P sorption  by soils is interpreted as aris-
 ing from the  increase in negative charge induced by P  sorption.


 76:02K-002
 ADSORPTION  OF SELENITE AND PHOSPHATE ON AN ALLOPHANE CLAY,
 Raj an,  S.S.S., and  Watkinson, J.H.
 Ruakura Agrucultural  Research Center,  Soil Chemistry Group, Hamilton, New
 Zealand.
 Soil  Science  Society  of  America Journal, Vol.  40, No.  1,  p  51-54,  January-
 February 1976.   3  fig, 3 tab, 20  ref.

 Descriptors:  *Adsorption, *Clays,  *Sulfate, *Phosphate,  Soils, Soil  investiga-
 tions,  Soil properties,  Soil chemistry, Anions, Anion  adsorption.

 Selenite was  adsorbed on an allophane  clay  from solutions of different concentra-
 tions at pH 5.0, at 30C,  and under  a N2 atmosphere, and the amounts of sulfate,
 silicate and  hydroxyl ions released were measured.  The results were  compared
 with  those  from  a  similar study with phosphate on the  same  clay.   The results
 indicate that at low  concentrations both phosphate and selenite exchanged with
 adsorbed sulfate,  adsorbed silicate, and aquo  and hydroxo groups.  About three
 times more  phosphate  than selenite was adsorbed, due mainly to phosphate dis-
 placing more  aquo groups and thus making the surface less positive.   At high
 concentrations,  whereas  the selenite adsorption reached a maximum, phosphate
 continued to be  adsorbed.  The latter was due  to phosphate  displacing structural
 silicate  and probably also to disruption of hydrous oxide polymers.   A two-term
 Langmuir  equation distinguished adsorption by  surface  ligand exchange exchange
 from  these  other reactions at high concentration.



 76:02K-003
 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 reaction. Chemicals.

 Knowledge concerning  the  chemical reduction of N03(-)  to  gaseous products,  a
 process of  potential  practical significance as an antipollution device,  is  sparse.
 The influence on 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 NO3(-) was negligible in the absence of
                                              92

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Cu(2+), but was pronounced  above  pH 7  in the presence of approximately 5  ppm
CU(o+>'. ^nation of NH4(+)  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 pH  6 and 10.  Nitrite formation was small except
at pH 9 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 pH 8.  Maximum reduction of N03(-)  (93%) and
maximum gas production  (equivalent  to  61% of the original N03(-)  occurred when
the Fe(2+)/N03(-) 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.
 76:02R-004
 HETEROVALENT  CATION EXCHANGE EQUILIBRIA IN SOILS WITH VARIABLE AND HETEROGENEOUS
 CHARGE,
 Munns , D . N .
 California University,  Department of Soil Science,  Davis,  California.
 Soil Science  Society of America Journal,  Vol.  40, No. 6,  p 841-845,  November-
 December 1976.   4  fig,  1 tab, 15 ref.

 Descriptors:   *Cation exchange, *Leaching, Soil properties,  Soil investigations,
 Calcium, Magnesium, Lime.

 Divalent cations were incrementally displaced, from limed and un-limed samples
 of  three soils,  by suspending the soils in increasing volumes of 2mM KC1.   Mass
 action coefficients for exchange between Ca and Mg were constant.   But for the
 exchange of divalent cations by K, the exchange coefficients of Kerr,  Vaneslow,
 Gapon, Krishnamoorthy and Overstreet,  and Gaines and Thomas  increased markedly
 as  potassium  saturation or pH increased.   For each cation species, separate
 fractions which  were relatively loosely adsorbed could be estimated by a simple
 regression analysis.  The loosely adsorbed Ca, which may control Ca availability
 to  plants, could be independently estimated by a leaching procedure.  Mass action
 exchange coefficients for the loosely adsorbed cations were  approximately
 constant under all conditions tested.   The variable charge mobilized by liming
 differed from the  fixed charge in having a slightly higher proportion of sites
 with  high divalent affinity, in an Oxisol, and a much lower  proportion in a
 Vertisol and  a Mollisol.


 76:02K-005
 BEHAVIOR OF CHROMIUM IN SOILS:  TRIVALENT FORMS,
 Bartlett,  R.J.,  and Kimble, J.M.
 Vermont  University, Department of Plant and Soil Science,  and Vermont Agricul-
 tural Experiment Station, Burlington,  Vermont.
 Journal  of Environmental Quality, Vol. 5, No.  4, p 379-383,  October-December
 1976.   2 fig, 4  tab, 9 ref.

 Descriptors:   *Aluminum, *Chromium, Field capacity, Soils, Soil investigations,
 Adsorption, Phosphorus, Chemical reactions.

 Chemical behavior  of Cr(III) was studied in solutions, soil  suspensions, and in
 soils of contrasting characteristics incubated at field capacity moisture.
 Sodium pyrophosphate, pH 4.8 NH40AC, and 0.1 M NaF appeared  to extract organi-
 cally bound Cr(III), whereas 1M HC1 removed inorganic Cr hydroxides and phos-
 phates along  with  some organic Cr.  Pyrophosphate and HCl extracts represented
 quantities of Cr(III) removed; NH40Ac and NaF extracts appeared to characterize
 small readily removed fractions, that is, intensity factors.  Soil organic
 complexes of  Cr(III) formed at low pH and appeared to remain stable and soluble
 even when  soil pH's were raised to levels where the Cr would be expected to
 precipitate.   Adsorption and solubility behavior of Cr(III)  as it varied with
 pH  and P treatments was similar to that of Al.  Oxidation of Cr(III) to Cr(VI)
 was not demonstrated at all, even under conditions of maximum aeration and high
 pH.
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76:02K-006
BEHAVIOR OF CHROMIUM IN SOILS:  II.  HEXAVALENT FORMS,
Bartlett, R.J., and Kimble, J.M.
Vermont University, Department of Plant and Soil Science, and Vermont Agricul-
tural Experiment Station, Burlington, Vermont.
Journal of Environmental Quality, Vol. 5, No. 4, p 383-386, October-December
1976.  2 fig, 4 tab, 7 ref.

Descriptors:  *Chromium, *Adsorption, Organic matter, Soils, Soil investigation,
Farm wastes. Aluminum, Phosphorus.

Adsorption and reduction of added Cr(VI) were characterized in soils with  con-
trasting pH's, organic matter contents, and chemical and mineralogical proper-
ties.  Presence of soil organic matter brought about spontaneous reduction of
Cr(VI) to Cr(III), even at pH's above neutrality.  Reduction.did not occur in
soils very low in organic matter unless an energy source was added.  Cow manure
added to practically organic-free Cecil B2 reduced Cr(VI) only after the pH had
been lowered below 3 with HC1.  The solubility of Cr(VI) in the presence of
excess Al changed in a pattern remindful of orthophosphate.  All of the soils,
except a pH 7.8 Cca horizon material, adsorbed Cr(VI).  Presence of orthophos-
phate prevented the adsorption of Cr(VI), presumably by competition for the
adsorption sites.  Consistent with this finding, KH2PO4 was found to be the
best extracting agent for Cr(VI).  It was concluded that behavior of Cr(VI), if
it  remains in  soils, is similar to that of orthophosphate.  However, unlike
phosphate, Cr(VI) is quickly reduced by soil organic matter.  Thus, Cr(VI)  added
to  a soil will remain mobile only if its concentration exceeds both the adsorbing
and the  reducing capacities of the soil.



76:02K-007
MICROBIAL INORGANIC POLYPHOSPHATES:  FACTORS INFLUENCING THEIR ACCUMULATION,
Pepper,  I.L.,  Miller, R.H., and Ghonsikar, C.P-
Ohio Agricultural Research and Development Center.
Soil Science Society of America Journal, Vol. 40, No. 6, p 872-875, November-
December 1976.  2 fig,  5 tab, 8 ref.

Descriptors:   *Phosphorus, Soil chemistry, Soil properties, Soil investigations.

Infrared spectra of microbially synthesized, acid labile, inorganic P compounds
extracted from soils provided additional evidence that they are inorganic  poly-
phosphates  (poly P).  Incubation studies with glucose amended soils demonstrated
the transient  nature of naturally occurring poly P.  Experiments are reported on
the conditions which optimize poly P synthesis in soil.  A 2-week incubation
period  (preincubation) with a source of carbon  (2% glucose or 4% straw) and a
further  2-day  incubation period  (postincubation) after adding a source of  ortho
P resulted in  the maximum accumulation of poly P-  The quantity of poly P  also
increased with increasing rates of orthophosphate from none to 1,000 micro g
soil/g.  Longer periods of postincubation reduced poly P accumulation.  Poly P
synthesis was greater when relatively insoluble sources of P were added to soils
and accumulation followed the order; FePO4 . 2H20 > rock phosphate > Ca(H2P04)2 .
H20 > KH2PO4.  The results suggest that poly P synthesis may accompany P solubil-
ization  in soils and be an integral part of the soil P cycle.


76:02K-003
THE SLOW REACTION WHICH CONTINUES AFTER PHOSPHATE ADSORPTION:  KINETICS AND
EQUILIBRIUM IN SOME TROPICAL SOILS,
Munns, D.N., and Fox, R.L.
California University, Department of Soils and Plant Nutrition, Davis, California.
Soil Science Society of America Journal, Vol. 40, No. 1, p 46-51, January-
February 1976.  7 fig, 2 tab, 18 ref.

Descriptors:  *Phosphate, *Top soil. Adsorption, Soils, Soil investigations,
Kinetics, Lime, Hysteresis, Soil properties, Soil chemestry.

Dissolved phosphate was mixed with topsoil samples, and the decline in solution
phosphate concentration (P) was followed for 200-300 days by periodically
shaking and extracting subsamples with 1 or 10 mM CaC12.  During the first 20-40
days, (P) declined faster in soil suspensions that were being shaken than  it
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did in undisturbed soil  at  0.1  bar moisture.   After 40 days of reaction,  shaking
time had little effect.   The slow fixation had first-order kinetics with respect
to (P) .  The relative  rate  was  faster in an Andept than in three Oxisols   It
was unaffected by lime,  though  lime increased the strength of adsorption'  Equil-
ibrium was achieved  at 50 days  in an Andept and 100-200 days in three Oxisols
At equilibrium, the  amount  of adsorbed phosphate remaining labile was estimated
from values of  (P),  using 6-day adsorption isotherms.   Labile phosphate so esti-
mated amounted to 30 to  50% of  the added phosphate, implying that the residual
value of phosphate added to these soils should be substantial and permanent
except for removal by  crops and erosion.  Desorption isotherms diverged from
adsorption isotherms less markedly with increasing time after phosphate addition,
as if the slow reaction  caused  much of the apparent hysteresis.


76:02K-009
ADSORPTION OF  DODECYLBENZENE SULFONATE ON NA(+)-MONTMORILLONITE:  EFFECT OF SALT
IMPURITIES,
Clementz, D.M.,  and  Robbins, J.L.
Chevron  Oil Field Research  Company, La Habra, California.
Soil  Science Society of  America Journal, Vol. 40, No.  5, p663-665, September-
October  1976.   1  fig,  12 ref.

Descriptors:   Adsorption, Montmorillonite, Surfactants, Anion exchange, Clays,
Salt.

The adsorption of purified  dodecylbenzene sulfonate (ABS) on Na(+)-montmorillonite
follows  the Langmuir isotherm,  reaching a maximum amount adsorbed which corres-
ponds to the anion  exchange capacity fo the clay-  When a commercial grade ABS
is used,  the adsorption  process is more complex and occurs in two distinct steps.
In dilute solutions, the salt impurity has a minor effect on adsorption and the
result is essentially  the same as that obtained for the purified surfactant.
However,  as the salt concentration is increased to a given value, enhanced
adsorption due to hemimicelle formation occurs.


 76:02K-010
 INFLUENCE OF  IONIC  STRENGTH AND INORGANIC COMPLEX FORMATION ON THE SORPTION OF
TRACE AMOUNTS  OF CD BY MONTMORILLONITE,
Garcia-Miragayma, J.,  and Page, A.L.
California University, Department of Soil Science and Agricultural Engineering,
 Riverside, California.
 Soil  Science Society of  America Journal, Vol. 40, No.  5, p 658-663, September-
October  1976.   5 fig,  3  tab, 20 ref.

 Descriptors:   Cadmium, Sorption, Montmorillonite, Clays, Soils, Soil investiga-
 tions,  Soil chemistry. Heavy metals.

 Cadmium  sorption by montmorillonite from solutions in the 15 to 120 ppb range
was  studied in the  presence of increasing concentrations of NaC104, NaCl, and
Na2S04 solutions.   The ionic strengths ranged from 0.01 to 1.00.  Increasing
 ionic strengths decreased the amount of Cd sorbed on the clay surfaces.  The
percentage sorbed decreased from around 90% for 1=0.01 to about 50% for 1=1.00
 in the C104 systems.  The sorption of Cd in the chloride system was in the range
between  25 to  50% less than the C104 systems for the same ionic strength.  This
was  attributed to the  presence of uncharged and negatively charged complexes of
 Cd with  Cl ligands.   This fact has some implications,  especially in arid zone
 soils where high Cl  concentrations in soil solutions are not unusual; there, Cd
will  behave mainly  as  a  neutral species (CdC12(0)) and as an anion (CaCl3(-) and
 CdC14(2-)), rather  than  as  a cation  (Cd(2+)).  The S04 systems showed a moderate
decrease in the amount of Cd sorbed with respect to the C104 systems for the same
 salt  concentrations.  This  observation was interpreted as due to the presence of
 a fraction of  Cd in  solution as the CdS04(0)  species.



 ESTIMATING WATER SALINITY WITH GEOPHYSICAL EARTH  RESISTIVITY EQUIPMENT,
 Halvorson,  A.D., and Reule, C.A.
 Agricultural  Research Service, Sidney,  Montana.                      T=n,,a™
 Soil Science  Society of America Journal, Vol.  40,  No.  1, p  152-153,  January-
 February 1976.  2 fig, 1 tab,  5 ref.
  (See 76:076-003)
                                               95

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76:02K-012
ATMOSPHEREIC INPUT OF SOME CATIONS AND ANIONS TO FOREST ECOSYSTEMS  IN
NORTH CAROLINA AND TENNESSEE,
Swank, W.T., and Henderson,G.S.
United States Department of Agriculture, Forest Service, Coweeta Hydrologic
Laboratory, Franklin, North Carolina.
Water Resources Research, Vol.12, No. 3, p 541-546, June 1976.  3 fig,  2  tab.
23 ref.

Descriptors:  Chemical properties, *Fallout, *Precipitation(Atmosphereic),
*Appalachian mountain region,  *Forest watersheds, *North Carolina,  "Tennessee,
*Southeast U.S., Rain, Forests, *Cations, On-site data collections,  "Atmosphere,
Seasonal.

The atmospheric contributions  of elements in precipitation and dry  fallout to
forest ecosystems were measured at two sites in the southern Applachians.
At both sites, relative mean annual concentrations of cations in bulk precip-
itation were in the order Ca is greater than Na is greater than K is greater
than Mg.  At the Coweeta Hydrologic Laboratory in North Carolina, average
annual inputs of Ca(++), Na(+),K(+), Mg(++), and NH4-N in 1970-1973 were  4,88,
3.52, 1.62, 1.01, and 0.52 kg/ha/yr, respectively.  At Walker Branch,
Tennessee, the inpu-ts of these elements during the same time period were  15.73,
3.89, 2.99, 2.94, and 2.37 kg/ha/yr.  The inputs of N03-J, P04-P, and C; (-) , in
1972-1973 were 2.88, 0.19, and 8.53 kg/ha/yr at Coweeta.  Inputs of N03-N, and
P04-P were 4.61 and 0.55 kg/ha at Walker Branch over the same period.   One
reason for differences in bulk precipitaion chemistry was greater dry fallout
for some cations at Walker Branch than at Coweeta.  For both sites, dry fallout
associated concentrations of bulk precipitation  except for Na( + ), which  appeared
to be partly derived from marine sources.  Total inputs of elements were
considered to be minimum estimates for both forest ecosystems due to sampling
and analytical methods.


76:02K-013
PHOSPHOROUS SORPTION AND DESORPTION CHARACTERISTICS OF SOIL AS AFFECTED BY ORGANIC
Singh, B.B., and Jones, J.P.
Idaho University, Department of Plant and Soil Sciences, Moscow, Idaho
Soil Science Society of Amercia Journal, Vol. 40, No, 3, p 389-394, May-June
1976.  7 fig, 1 tab, 31 ref.

Descriptors:  *Phosphorous, *Sorptioh, Organic matter,  Soils, Soil investigations,
Soil properties, Alfalfa, Beans, Barley, Farm Waste, Mineralization.

The influence of seven organic residues on sorption and desorption of P by a
high P-fixing soil was determined after 30, 75,  and 150 days incubation.
After incubation for 30 days,  all residues decreased the amount of P sorbed by
the soil, resulting in higher  equilibrium solution P levels.  However,  after
incubating for either 75 or 150 days, the P content of the organic residues had
a marked influence on sorption of added P and desorption of sorbed P.   The
critical value of P in organic residues which resulted in no tie-up of  soil P
was 0.3%.  Sawdust, wheat straw, and cornstalks       contained < 0.3%  P
decreased labile soil P and increased sorption by soil after incubating for 75
or 150 days.  Alfalfa, barley, beans, and poultry manure that contained P in
excess of 0.3% decreased sorption of P,  The results suggest that P fertilizer
rates estimated from sorption  isotherms may need to be modified following add-
ition of organic residues.


76:02K-014
INFLUENCE OF SOIL PH ON THE AVAILABILITY OF ADDED BORON,
Peterson, L.A., and Newman, R.C.
Wisconsin University, Departments of Horticulture and of Soil Science,  Madison,
Wisconsin.
Soil Science Society of America Journal, Vol. 40, No. 2, p 280-282, March-April
1976.   1 fig,  3 tab, 13 ref.

Descriptors:  *Boron, Fescue, Soil properties. Greenhouses, Soil chemistry,
Soil investigations.
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A Piano silt loam with  five relatively constant pH levels (47  53   58   63
7.4) was used to study  the influence of soil pH on the availability'of'added B
A greenhouse study was  conducted  using tall fescue with five soil pH levels
and four rates of applied B essentially equivalent to 0,  5,  10,  and  20 kg/ha
and five herbage harvests.  Herbage  yields of tall fescue  were not affected by
either soil pH or B treatments: however,  tissue B concentrations ranged from 8
to 739 ppm for the five harvests.  Boron uptake by tall fescue was relatively
uniform for soil pH levels of  4.7, 5.3, 5.8, and 6.3  within  each level of  B
availability.  Recovery percentages  of 30 to 50% of the added B  by five cuttings
of forage indicate a  soil fixation of B.   Highest recovery percentage was  assoc-
iated with the highest  rate of added B.  A 2.5-fold drop  in  B uptake occurred
at pH 7.4 as compared with the other soil pH levels indicating substantial fix-
ation of B.  Hot-water-soluble B  content of the soil  generally increased with
an increase in pH and with added  B.   The soluble B test did  not  predict the low
recovery of B at pH 7.4.


76:02K-015
AN EVALUATION OF JOB'S  METHOD  OF  CONTINUOUS VARIATIONS AS APPLIED TO SOIL  -
ORGANIC MATTER-METAL  ION INTERACTIONS,
MacCarthy, P., and Mark,  H.B.  Jr.
Georgia University, Department of Chemistry, Athens,  Georgia.
Soil Science Society  of America Journal,  Vol. 40, No. 2,  p 267-276,  March-April
1976.  5 fig, 31 ref.

Descriptors:  Organic matter,  Ions,  Soil chemistry. Soil  properties, Soil
investigations, Metals, Absorption.

The literature dealing  with  the application of Job's method  of continuous
variations to the study of soil organic matter-metal ion interactions has  been
reviewed, and an introduction  to  the fundamental chemistry necessary for an
understanding of these  interactions  is presented.  The method of continuous
variations was applied  to simple  systems consisting of metal ions and mixtures
of  discrete ligands.  The behavior of these "model" systems  was  compared to
that of the more complicated  soil organic matter systems.  Following a consider-
ation of the fundamental principles  of Job's method and of its boundary condi-
tions and limitations,  it was  concluded that this method is  not  directly appli-
cable to the study of soil organic matter-metal ion interactions. This conclu-
sion was substantiated  by experiments carried out on the simple  "model" systems
as  well as those on fulvic acid itself.  Explanations are proposed to account
for the deceptive results which were obtained when this method was erroneously
applied by other workers to  the investigation of soil organic matter-metal ion
interactions in the past.  Possible  interferences, due to scattering of light,
during the study of soil organic  matter-metal ion reactions  by UV-visible
absorption spectroscopy are  considered.


76:02K-016
THE RELEASE OF NITROGEN FROM  SULFUR-COATED UREA AS AFFECTED  BY SOIL  MOISTURE,
COATING WEIGHT, AND METHOD OF  PLACEMENT,
Prasad, M.
M.J. Woods and Associates, 13  Kilbarrack Grove, Dublin 5, Ireland.
Soil Science Society  of America Journal, Vol. 40, No. 1,  p 134-136,  January-
February 1976.  5 tab,  13 ref.

Descriptors:  *Nitrogen,  *Urea, *Soil moisture, Calcareous soil, Soil investi-
gations, Nitrification, Nitrite,  Volatility-

Information on the release of  N from sulfur-coated urea  (SCU) as affected  by
soil moisture in the  aerated  range  is lacking.   Laboratory incubation experi-
ments were therefore  conducted on two soil to study the release  of N from  SCU
as  affected by soil moisture  in the  aerated range, coating weight (SCU-28  and
SCU-9), and method of placement (on  one soil only).  In the  calcareous Princes
Town soil the release of N from SCU  increased with increasing moisture through-
out the 9 weeks of study-  In  acid Talparo soil similar trends were  present up
to  3 weeks, but at 6  and 9 weeks  maximum release of N occurred at medium
soisture  (soil moisture at pF  2.4) and minimum release at low moisture (soil
moisture at pF 3.5).
                                               97

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76:02K-017
THEORETICAL CONSIDERATION ON NITRITE SELF-DECOMPOSITION REACTIONS  IN  SOILS,
Van Cleemput, 0., and Baert, L.
Ghent University, Laboratory of Physical and Radiobiological Chemistry,  Belgium.
Soil Science Society of America Journal, Vol. 40, No. 1, p 322-324, March-April
1976.  3 fig, 10 ref.

Descriptors:  Soils, Soil investigations, Soil properties, Nitrite.

The spontaniety of different nitrous acid self-decomposition reactions was
calculated for different sets of activities of the participating components  at
pH 4, 7, and 9.  These calculations showed that nitrous acid preferentially
decomposes spontaneously to NO and N03(-) instead of self-decomposition  to NO
and M02 or N204.  The higher the pH the larger the region of nitrous  acid
stability.  Theoretical evidence for the reaction of nitrous and nitric  acid
with formation of N02 was obtained.


76:02K-018
INFLUENCE OF SALT AND ALKALI ON IONIC EQUILIBRIA IN SUBMERGED SOILS,
Pasricha, N.S., and Ponnamperuma, F.N.
International Rice Research Institute, Los Banos, Laguna, Philippines.
Soil Science Society of America Journal, Vol. 40, No. 3, p 374-376, May-June
1976.  4 tab, 15 ref.

Descriptors:  Salt, Salinity, Alkali, Clays, Sodium, Sampling, Ions,  Iron,
Manganese, Soils, Soil investigations, Soil properties.

To clarify the effects of salt and alkali on Fe(2+) and Mn(2+) equilibria in
submerged soils, Maahas clay  (a. Haplustalf) was amended with NaCl  and NaHC03
to give initial electrical conductivities of 5, 10, 20, and 25 mmhos/cm  at 25C
and exchangeable Na percentages of 5, 10, 15, 20, and 25, respectively.  The
amended soils and an untreated control were kept submerged in 16-liter pots  in
a greenhouse at 25-30C.  The soil solutions, drawn anoxically by gravity, were
analyzed fortnightly for Eh, pH, C02, and the major ions.  As the  salt level
increased, the concentrations of all cations except K(+) and Na(+) decreased.
In spite of wide variations in pH, Eh, ionic strength, and the concentrations
of Fe(2+) and Mn(2+) in the soil solutions, the values of the expressions,
pE - pFe(2+) +3pH, pE - 1.5 pFe(2+) + 4 pH, pE + pH, and pH - 0.5 pMn(2+) -
0.5 pC02 were nearly equal to 17.9, 23.3, 7.3, and 4.1, respectively, indica-
ting that even in the salt and alkali treated soils, the Fe(OH)3 - Fe(2+) and
Fe3(OH)8 - Fe(2+) systems controlled the solubility of Fe(2+) while the  MnC03 -
H2) - C02 system regulated the solubility of Mn(2+).


76:02K-019
ZINC ADSORPTION ISOTHERMS FOR SOIL CLAYS WITH AND WITHOUT IRON OXIDES REMOVED,
Shuman, L.M.
Georgia University, Department of Agronomy, Georgia Experiment Station,  Athens,
Georgia.
Soil Science Society of America Journal, Vol. 40, No. 3, p 349-352, May-June
1976.  2 fig, 3 tab, 16 ref.

Descriptors:  *Zinc, *Adsorption, Georgia, Clays, Soils, Soil properties,
Iron oxides, Soil investigations.

The clay fraction from four predominant Georgia Soils sampled at two depths
was separated and the iron oxides removed from a portion of each clay sample.
These clays were equilibrated with five Zn solutions to measure Zn adsorption.
The data conformed to the Langmuir adsorption isotherm.  Langmuir coefficients
were used to evaluate the Zn adsorptive capacities of the clays and bonding
energies for Zn.  Adsorptive capacities and CEC values for the clays  from
Decatur cl and Leefield Is soils were higher than those for clays  from the
Cecil si and Norfolk Is soils.  Differences in adsorptive capacities were not
consistent between depths nor between samples with or without Fe oxides.
However, removal of the Fe oxides increased the capacity to adsorb Zn in more
instances than it decreased this capacity.  Zinc adsorptive capacities were
directly related to the CEC values for the clays.  When comparing  those  samples
with and without J'e oxides removed, bonding energies .were inversely related  to
adsorptive capacities.
                                              98

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76:02K-020
WASTEWATERS IN THE VADOSE  ZONE  OF ARID REGIONS:   HYDROLOGIC INTERACTIONS
Ma,nn r J • F • r Jr.                                                          '
Ground Water, Vol. 14, No.  6, p 367-373,  November-December 1976.   6 fig, 12  ref.

Descriptors:  *Waste  storage, *Waste water disposal,  *Arid lands,  *Vadose  water
*Nevada, Groundwater  recharge,  Evapotranspiration,  Soil water,  Water table
Moisture content, Field  capacity, Pollutants,  Soil  water movement.  Infiltration
Leachate, Nuclear meters,  Clays,  Storage, Monitoring.

In truly arid regions there is  essentially no direct  penetration  of rainfall
Such water is quickly dissipated by capillarity-assisted evaporation or through
rapid evapotranspiration by. short-lived annuals.  Where perennial  xerophytes cover
the ground surface, the  extensive shallow root systems quickly  utilize all of the
rainfall stored  in the soil.  Beneath the soil zone is the lower part of the
vadose zone, extending to  water tables at depths  of tens to hundreds of feet.
Almost always these vadose zones have moisture contents well below field capacity.
Regardless of the cause, these  dry vadose zones are capable of  holding additional
water, at least  up to field capacity.  And no water-carried pollutants can reach
the water table  from  the ground surface until a pre-wetted path has been formed
for the entire vertical  distance.  A practical use  of this water-holding capacity
can be made in the design  of wastewater tailings  ponds, with predictable safety
and with great economic  benefit.   However, only in  predictable  geologic condi-
tions, and in limited amounts can the use of this water-holding capacity be
recommended.  On the  other hand,  to make no use whatsoever of these great  natural
dry sponges would be  an economic waste.


 76:02K-021
 DENITRIFICATION  MEASURED DIRECTLY FROM NITROGEN AND NITROUS OXIDE GAS FLUXES,
 Rolston, D.E., Fried, M. ,  and Goldhamer, D.A.
 California University, Department of Land, Air, and Water Resources, Davis,
 California 95616
 Soil  Science Society  of America Journal, Vol. 40, No. 2, p 259-266, March-April
 1976.  8  fig, 2 tab,  17 ref.

 Descriptors:   Denitrification,  Nitrogen, Fertilization, Soils,  Soil water, Lysim-
 eters,  Diffusion,  Leaching.

 The  amount of  denitrification is generally the unknown in attempts to evaluate
 the  fate of N  fertilizers  applied to soils.  Substantial error  can result when
 denitrification  is  determined from the difference between measurements of plant
 uptake,  residual soil N, leaching, and the amount of N applied.  An ir^pnendent,
 direct measure of  denitrification potentially has merit by containing     the
 error from direct  measurement and not a cumulative error from several     arements.
 Nitrate at a rate  of  300 kg of N/ha and enriched with 20 and 10 atom percent
 excess N-15 was  applied to laboratory columns and a field plot, respectively.
 The  columns were maintained at soil-water pressure heads of -22 and -70 cm.   The
 field plot was maintained  at a soil-water pressure head of approximately -10 cm
 in the upper 10  cm of soil. ,  The field plot was cropped with perennial ryegrass.
 The  columns and  field plot were instrumented with tensiometers, soil solution
 samplers, and  gas  samplers.  The concentration and isotopic ratio of N03,  N2, and
 N20  were measured  as  a function of soil depth and time.  The gaseous concentra-
 tion gradients and  measured apparent diffusion coefficients were  used to calculate
 the  fluxes of  (N-15) 2 and   /N-15) 20 gas from the soil.  Residual soil N, plant
 uptake,  and leaching  were  measured in order to calculate denitrification by  dif-
 ference.  For  the  laboratory columns, the amount of denitrification determined
 directly compared  favorably with that determined by difference.
                                               99

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                                   SECTION xn

                                   WATER CYCLE

                              ESTUARIES (GROUP 02L)


76:02L-001
PARTIAL DEPLETION OF SALINE GROUNDWATER BY SEEPAGE,
Van Dam, J.C.
Technische Hogeschool, Department of Civil Engineering, Delft,  (Netherlands).
Journal of Hydrology, Vol. 29, No. 3/4, p 315-33S, April 1976.  14 fig, 3 tab,
4 ref.

Descriptors:  *Saline water intrusion, *Encroachment, *Saline water systems,
*Hydrogeology, *Seepage, *Model studies, Land reclamation, Water table, Pumping,
Freshwater, Recharge, Saline water, Groundwater.

The geohydrologic conditions prevailing in the western part of the Netherlands,
particularly the numerous so-called polders,  were analyzed with respect to
seepage of saline water.  The polders are reclaimed lakes or parts thereof and
have a land elevation of up to several meters below mean sea level.  The ground-
water levels in the polders are artificially controlled at depths of about 0.3 to
2 meters below land surface by means of embankments, sluices, and pumping
stations.  A highly schematized, one-dimensional model was developed to
investigate the effects of reclamation of the deep polders.  Seepage of saline
water induced by reclamation of these polders was found to be of temporary
nature.  This temporary seepage comes from diminution of the volume of saline
water present in the aquifer.  The permanent seepage of saline water, currently
recharged by sea water, increases with lower polder levels.  The results of this
model study indicated interesting tendencies, but more complicated models and
study of transient effects are needed to interpret the actual field conditions.
                                             100

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                                  SECTION XIII

                   WATER SUPPLY AUGMENTATION  AND CONSERVATION

                       SALINE WATER CONVERSION  (GROUP  03A)


76:03A-001
THE INTEGRATION OF DESALINATION PLANT WITH EXISTING AUSTRALIAN WATER RESOURCES,
Kemeny, L.G.
New South Wales University, School of Nuclear Engineering, Kensington
(Australia).
Journal of Hydrology  (Amsterdam), Vol.  28, No.  2/4, p  429-448, 1976.  8 fig,
4 tab, 14 ref, 2 append.

Descriptors:  *Desalination plants, *Water resources,  *Australia,  *Water supply,
Water utilization, Arid lands, Coasts,  Economics,  Hydrologic aspects, Salinity,
Freshwater, Water storage, Water distribution (Applied), Costs, Size sites,
Energy.

Two-thirds of Australian land is arid;  even the well-watered coastal areas are
prone to prolonged droughts.  Thus, the capital investment in water supply
storage and distribution facilities is  very high.  These economic  and ecological
conditions demand alternative sources of fresh  water supplementation, probably
desalination.  A summary of Australian  water  resources is given, including
geographical distribution of surface discharge  and runoff, typical salinities of
underground waters, and permissible limits of salinity.  Considered next are the
patterns of fresh water usage and the related costing  practice; these are
subdivided into domestic, industrial and agricultural  supplies.  A description of
an existing desalination plant on the Western Australian Coast is  given.  Finally
general factors influencing the integration of  desalination plant  with existing
water resources in Australia are summarized;  discussed are water storage and
distribution; plant size, siting and energy source; and integration and costing
studies.


76:03A-002
MANAGING SALINE WATER FOR IRRIGATION.
Texas-Tech University, International Center for Arid and  Semi-Arid Land Studies,
Lubfaock, Texas.
Proceedings of the International Salinity Conference,  Texas Tech University,
Lubbock, Texas, August 16-20, 1976. 618 p.
 (see  76:05C-002)
                                               101

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                                 SECTION XIV

                   WATER SUPPLY AUGMENTATION AND CONSERVATION

                       WATER YIELD IMPROVEMENT (GROUP 03B)


76:03B-001
PLASTIC-REINFORCED ASPHALT SEEPAGE BARRIER,
Frobel, R.K., and Cluff, C.B.
Arizona Water Resources Research Center, Tucson,  Arizona.
Paper Reprint, Journal of the Irrigation and Drainage Division, ASCE, Vol. 102,
No. IR3, Proceedings Paper 12430, p 369-380, September 1976.  8 fig, 1 tab, 8
ref. OWRT A-059-ARIZ(3).  14-31-0001-5003.

Descriptors:  Adhesion, *Asphalts, Linings, Membranes, *Plastics, *Reinforce-
ment, *Seepage, Water resources, *Barriers, Equipment, Testing.

This leport is concerned with laboratory equipment development, laboratory
testing, and field investigations of a water seepage barrier consisting of
plastic-reinforced asphalt.  Three testing methods were utilized and evaluated
in the asphalt-plastic-asphalt-chip-coated  (APAC)  membrane investigation.  The
first test method evaluated the hydrostatic puncture resistance of an asphalt-
polyethylene combination.  This test confirmed the hypothesis that the asphalt
effectively increases the puncture resistance of  the APAC membrane over that of
plain polyethylene.  The second test investigated the slope stability of a pro-
tective APAC chip seal.  It was found that a typical 3/8-in.(9.5mm) cover
aggregate remained stable on constructed slopes of 3:1 and 4:1 and also remained
stable on a 2:1 slope up to a surface temperature of 122F(50C).  The third test
method evaluated adhesive materials and determined the best suited adhesive for
sealing polyethylene overlaps.  Subsequent field  investigations resulted in
equipment development that increased construction efficiency in the installation
of the APAC membrane.


76:03B-002
EVALUATION OF A MONTHLY WATER YIELD MODEL,
Haan, C.T.
Kentucky University, Department of Agricultural Engineering, Lexington, Kentucky.
Transactions of the American Society of Agricultural Engineers, Vol. 19, No. 1,
p  55-60, January-February 1976.  6 fig, 3 tab, 11 ref.
(See 76:02A-003)


 76:03B-003
 AERIAL SPRAYING OF PHREATOPHYTES WITH ANTITRANSPIRANT,
 Davenport,  D.C.,  Martin, P.E.,  and Hagan, R.M.
 California  University, Water Science and Engineering Section,  Davis,
 California.
 Water Resources Research,  Vol.  12, No.  5, p 991-996, October 1976.  6 fig,
 6 tab,  7 ref.

 Descriptors:  *Antitranspirants, *Spraying, *Phreatophytes, *Application
methods, Consumptive use,  Streamflow,  Groundwater,  Groundwater basins, Water
 conservation.  Water yield improvement,  Transpiration, Transpiration control,
 Chem-control,  Cottonwoods,  Canopy, Foliar, Foliar application.

 The use of  antitranspirants for water conservation by reducing phreatophyte
 transpiration is discussed.  Experiments were conducted to determine whether
 aerial spraying of a wax-based antitranspirant emulsion would provide adequate
 spray coverage and reduce transpiration.   Multiple passes were made with  (1) a
 fixed wing  plane on salt cedar, cottonwood, and  willow and (2) a helicopter on
 salt cedar.   Spray coverage was also conducted on the ground.   Scanning elec-
 tron microscope photomicrographs showed considerable antitranspirant on foliage
 in the upper canopy and lesser amounts in the lower:  the film was detected
 even 24 days after spraying.  Aerially applied antitranspirant increased resis-
 tance to leaf water vapor diffusion by 150 percent during the first few days
 and by 80 percent thereafter.   Results then show that (1) good coverage can be
                                              102

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achieved by multiple passes of  the  aircraft and deep antitranspirant  spray
penetration into dense canopies is  not as important as coverage of the  outer
foliage and (2) transpiration rates can be retarded without foliar damage.
However, full assessment of the antitranspirant spraying must await more  exten-
sive..field trials.


76:036-004
CONSERVING WATER BY ANTITRANSPIRANT TREATMENT OP PHREATOPHYTES,
Davenport, D.C., Martin, P.E.,  Roberts, E.B., and Hagan, R.M.
California University, Water  Science and Engineering Section, Davis,  California.
Water Resources Research,  Vol.  12,  No. 5, p 985-990, October 1976. 6 fiq
9 tab,  32 ref.

Descriptors:   *Antitranspirants, *Phreatophytes, *Application methods,  *Water
conservation,  Transpiration control, Transpiration, Water yield improvement,
Foliar, Foliar application. Canopy, Cottonwoods, Spraying, Hydrology, Watersheds
 (Basins), Stomata.

The use of antitranspirants in  hydrology seeks to curtail transpiration from
forested watersheds and  riparian vegetation, such as salt cedar, without
removing the vegetation  or damaging the' ecological balance.  There are  two  main
groups  of antitranspirants:   (1) stomatal inhibitors, which prevent the stomatal
pore  from opening  fully,  and  (2) film-forming materials, which externally cover
or plug stomatal pores.   Basic  information is provided on foliar coverage of
three phreatophytes  (salt  cedar, willow, and cottonwood) by a wax-based film-
 forming antitranspirant  and the effects of this coverage on transpiration,
diffusive resistance,  and  water potential.  Antitranspirants were applied by
 hand  sprayer or  backpack mist blower.  Transpiration was measured by  periodic
weighing of potted plants  and by gas hygrometer.  Resistance to water vapor
diffusion from the foliage was  measured by a porometer and plant water  potential
 by a  pressure  chamber.   The  results are presented.  Foliar application  by hand
 sprayer or backpack mist blower of a wax-based antitranspirant increased
 resistence to  water vapor diffusion from phreatophyte foliage and decreased
 transpiration, indicating  the potential of this non-destructive approach  to
 water conservation.
                                              103

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                                   SECTION XV

                     WATER SUPPLY AUGMENTATION AND CONSERVATION

                    USE OF WATER OF  IMPAIRED QUALITY  (GROUP 03C)


 76:03C-001
 SALT AND WATER BALANCE IN IMPERIAL VALLEY, CALIFORNIA,
 Kaddah, M.T. and  Rhodes, J.D.
 Imperial Valley Conservation Research Center, Brawley,  California 92227
 Soil Science Society of America Journal, Vol. 40, No.  1,  p 93-100,  January-
 February 1976. 4  fig, 2 tab, 13 ref.

 Descriptors:  *Salinity.- *Salts, Soil salinity, Water  salinity, Root zone,  Ground
 water,  Surface runoff, Effluents, Water  quality, California
 (see 76:05B-016)


 76-.03C-002
 SALINITY MANAGEMENT WITH DRIP  IRRIGATION,
 Hoffman, G.J.
 United  States Department of Agriculture, United States  Salinity Laboratory,
 Riverside,  California.
 Drip/Trickle Irrigation, Vol.  1, No. 2,  p 14-22, August 1976.  9 fig, 1  tab.

 Descriptors:  Salinity, Saline soil, Saline water, Irrigation,  Irrigation practices,
 Irrigation  systems.

 The minimum leaching fraction  for producing maximum crop  yield  with high-frequency
 irrigation  is being established.  Based  on 2.5 years of data,  the minimum leaching
 requirement under high-frequency irrigation is about 5% for wheat and grain sorghum,
 and between 10 and 15% for lettuce with  2.2-mmho/cm irrigation  water.   In citrus,
 after 2 years under drip irrigation, there were no yield  or fruit quality differ-
 ence between 5 and 20% leaching with 1.2-mmho/cm irrigation water,  although there
 are significant differences in the distribution and concentration on soil salinity-
 Adequate irrigation management in salt-affected soils requires  knowledge of and
 control over the  soil matric potential and soil salinity.   Soil matric  potential
 can be  measured with tensiometers or other soil matric  potential sensors, and
 soil salinity can be detected  with salinity sensors or  the four-electrode conduc-
 tivity  probe.  In salt-affected soils, knowledge of soil  salinity in the root zone
 is  required as feedback information  to control irrigation from  measures of  soil
 matric  potential.  This knowledge will allow drip/trickle users to  optimize the
 use of  their systems for quality and productivity.


 76:03C-003
 PROCEEDINGS OF THE CONFERENCE  ON SALT AND SALINITY MANAGEMENT,
 California  University, Davis,  California 95616
 Proceedings of the Conference  held at Santa Barbara, California, September  23-24,
 1976, Report #38,  December 1976. 166 p.

 Descriptors:  *Salts, *Salinity, *Water  management,  *Water quality  control,
 legislation, *Political aspects, *Institutions, Irrigation, Waste  water disposal,
 California, Operations, Technology,  Soil tolerance. Water utilization.
 (see 76:05G-020)


76:03C-004
USE OF HIGHLY-SALINE WATER IN CITRUS IRRIGATION,
Goell,  A.,  E-Rais, M.,  and El-Wahidi, A.
Agricultural Research Orginization,  The Volcani Center, Division  of Citriculture,
Bet Dagan,  Israel
Proceedings of the International Salinity Conference, Texas Tech  University,
Lubbock, Texas,  August 16-20,  1976,  p 236-245. 2 fig, 3 tab, 7  ref.
                                              104

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Descriptors:  Saline, water,  Salinity,  Orchards,  Irrigation,  Irrigation effects,
Chlorine, Crop response, Oranges,  Soil  moisture,  Nutrients.

High Cl salinities in the water used to irrigate  Citrus orchards in the Gaza Region
on the southern coastal plain of Israel have caused yields to peak earlier,  and  to
decline more rapidly than in  orchards of the same age irrigated with water contain-
ing minimal amounts of Cl.  Vegetative  growth on  such trees becomes less vigorous
leaves develop chlorosis, age quickly and drop earlier.  Overall yields are  lower
and long-term profitability of the orchard is further reduced by the high incidence
of 'creased1 fruit.  Various  cultural treatments  have been tried in an irrigation-
frequency experiment in a Valencia orange orchard with the aim of stimulating new
and more vigorous growth in the trees.   A treatment combining a period of moisture
stress in early summer  (stoppage of irrigation) and the supply of a highly-avail-
able nitrogenous fertilizer when irrigation was resumed in mid-summer proved effec-
tive in stimulating much vigorous late  summer vegetative growth.  The effects of
this treatment and its  long-term effects on growth and cropping are discussed.
 76:03C-005
 SALT TOLERANCE  OP BEANS UNDER A SAND MULCH CULTURE,
 Parra, M.A.,  and Romero, G.C.
 Catedra  de  Edafologia,  Escuela Tecnica Luperior de Ingenieros Agronomos,  Cordoba
 and Valencia, Spain.
 Proceedings of  the International Salinity Conference, Texas Tech University,
 Lubbock,  Texas,  August 16-20, 1976, p 220-235. 5 fig, 6 tab, 20 ref.

 Descriptors:  Salt tolerance, Crop production, Beans, Saline soil,  Salinity,  Crop
 response.

 Salt tolerance  of two cultivars of beans grown for green consumption under a  sand
 mulch  culture has been studied.  The influence of the growing season and  the  time
 of soil  salinization on salt tolerance as well as the tolerance during germination
 have also been  investigated.  Under early salinization regimes and high evapotran-
 spiration demands, yields were reduced by 50% of the maximum at ECse of 6 mmhos/cm.
 This latter figure means an almost twofold higher salt tolerance was increased by
 almost 100% when the crop was grown under low evapotranspiration demands  (fall
 culture).   An additional 30% salt tolerance increase was observed when soil salin-
 ization  was delayed twenty days.  Increasing yields of first picking and  dry  pod
 matter observed with increasing soil salinity suggest that soil salinity  acceler-
 ates fruit  ripening.

 76:03C-006
 PROBLEMS OF MANAGING GEOTHERMAL WATERS FOR IRRIGATION,
 Peterson, H.B.  and Shupe, J.L.
 Utah State  University, Department of Agricultural and Irrigation Engineering,
 Logan, Utah.
 Proceedings of  the International Salinity Conference, Texas Tech University,
 Lubbock, Texas, August 16-20, 1976, p 211-219. 5 fig, 2 tab, 8 ref.

 Descriptors:   Irrigation, Irrigation water, Geothermal studies, Groundwater.

 With the development of geothermal water as a source of energy, there will be con-
 siderable 'spent water' available for other purposes.  In the United States most
 of the known geothermal basins are in the Western States where water is scarce
 and the  need and temptation to use spent geothermal water for irrigation  is great.
 This will also  likely be true in other parts of the world.  In this discussion
 we are concerned with minimizing or avoiding adverse effects caused by chemical
 constituents and not the possible benefits or damage to crops from the heat in
 the water

 76:03C-007
 SOIL SALINITY AND PLANT NUTRITIONAL STATUS,
 Finck  A
 Institut'f. Pflanzenemahrung u. Bodenkunde, Neue Universitat, Kiel, West  Germany.
 Proceedings of  the International Salinity Conference, Texas Tech University,
 Lubbock, Texas, August 16-20, 1976, p 199-210. 9 fig, 1 tab, 19 ref.

 Descriptors:  Saline soils, Crop production, Nutrients, Nitrogen, Calcium, Fertil-
 ization, Salinity.
                                              105

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Plants on saline soils not only suffer from water deficiency, but also  from  nutri-
tional disturbances.  Especially at low and medium degrees of salinity  the surplus
of some elements (nonnutrients or nutrients) or the real or induced deficiency  of
nutrients creates a nutritional stress that is often responsible for yield depres-
sions.  The extreme nutrient situation can partly be corrected by fertilization
improving the ratio between necessary and unwanted ions in the plants as well as
by improvement of other minimum factors such as trace element supply.   The base
of fertilization, however, should be reliable plant diagnosis considering that
the usual limiting values for optimum supply or tolerance will have to  be partly
modified under saline conditions.


76:03C-008
CROP SALT TOLERANCE:  EVALUATION OF EXISTING DATA,
Maas, E.V., and Hoffman, G.J.
United States Salinity Laboratory, Riverside, California
Proceedings of the International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20, 1976, p 187-198. 8 fig, 1 tab, 23 ref.

Descriptors:  Crop production, Salinity, Salts, Salt tolerance.

An extensive review and evaluation of the past 30 years' literature on  crop  salt
tolerance was undertaken to assess the relative tolerance of as many agricultural
crops as possible.  Most crop yields decrease linearly as salt concentrations are
increased above a tolerance thershold.  Our best estimates of the threshold  salin-
ity and the yield decrease as a function of salinity are presented graphically
for over 60 agricultural crops.  The criteria required to express salt  tolerance,
and the factors that influence and limit the applicability of these data are dis-
cussed.


76:03C-009
PREDICTED AND ACTUAL YIELD DECLINE FROM FIFTY PERCENT INCREASE IN SALINITY OF THE
COLORADO RIVER,
Robinson, F.E.
California University, Division of Agricultural Sciences, Davis, California.
Proceedings of the International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20, 1976, p 170-174. 1 tab, 1 ref.

Descriptors:  Crop production, Sprinkler irrigation, Irrigation, Soil moisture.
Salinity, Saline water, Carrots, Onions, Beans.

Six crops were grown in a sprinkler irrigated field with water applications based
upon 10 cm available moisture and an application to pan evaporation ratio of 0.90.
Utilizing data from the California Committee of Consultants, increase in water
salinity from ECw=1.35 mmho/cm to 2 mmho/cm predicted yield decreases of greater
than 10% for carrot, onions, and beans.  These three crops exhibited significant
field yield reductions of the same order of magnitude as that predicted.  In the
wheat, cabbage, and alfalfa yield predictions, the declination was less than 10%
and the field yield reductions were not significant.  Normal field trial yield
variation tends to obscure the first 10% yield reduction due to salinity.
76:03C-010
TRANSPLANTATION OF JUNCUS SSP. ON SALINE SOILS IN EGYPT,
Zahran, M.A., El-Bagoury, I.H., Abdel Wahid, A.A., and El-Demerdasy, M.A.
Mansoura University, Department of Botony, Mansoura, Egypt.
Proceedings of the International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20, 1976, p 142-154. 2 fig, 3 tab, 11 ref.

Descriptors:  Salinity, Saline soil, Crop production. Phosphorous, Nitrogen,
Fertilization.

The saline lands of Egypt occupy vast areas along the Mediterranean Sea and the
Red Sea coasts and in the inland deserts.  Cultivation of these areas with hylo-
phytic plants that proved to be of economic importance inav extend the cultivable
lands of Egypt and supply the country with raw materials for iiu^-rial purposes.
                                             106

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Juncus rigidus and J. acutus  are salt tolerant and fiber plants.   Their culms can
be used as raw material  in  paper industry and their seeds may be  used as a source
of drugs and oils.  Transplantation experiments in saline soil associated with
Manzalla Lake of Egypt were carried out.   The results were encouraging   Both
species succeeded to grow but the vegetative yield of Juncus rigidus was,  relative-
ly, higher than that of  J.  acutus.   Nitrogen-phosphorous fertilization treatments
showed marked effect on  the vegetative yields.  The fresh and dry weights  as well
as the lengths, of the culms  increased progressively with the increased amount of
nitrogen in soil but phosphorous fertilizer showed reverse effect.   Excess phos-
phorous in soil hinder the  uptake of nitrogen by Juncus plants.
76:030011
COMPOSITION OF SALINE  DRAINAGE WATER IN IRAQ AND ITS USE,
Hanna, A.B.
State Organization  of  Soils and Land Reclamation, Baghdad,  Iraq
Proceedings of the  International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20,  1976,  p 590-597,  4 tab, 4 ref.

Descriptors:  Drainage,  Drainage water, Salinity, Salts, Dissolved solids,  Calcium,
Magnesium, Saline water,  Water quality, Leaching.

Three years of study of the composition of drainage water indicated that the  sea-
sonal fluctuation of total salt concentration is more pronounced than the kind
of  salts, depending on agricultural activities and the status of water regime of
the rivers.   Total  soluble salts in the drainage water varies from 7-32 mmhos/cm
while the SAR ratio is about 5 in low saline samples and approaches 30 in other
high saline water.   An example is given, here,  to make use of some of these saline
waters  in the first stages of leaching a highly saline alkali soil.  This study
indicated that about 20% of good quality water required for leaching was saved  by
using a 10 mmhos/cm drainage water having an SAR ratio of about 10 to an adjacent
soil having in the  top layer a conductivity of 124 mmhos/cm and an SAR of 20.
 76:03C-012
 SYSTEM FOR  MANAGING SALINE AND RUN-OFF WATER FOR FRUIT AND CROP PRODUCTION IN
 ARID REGIONS OF MEXICO,
 Gavande,  S.A.,  Cluff,  C.B., and Nahlawi, N.
 Food and  Agriculture Organization/United Nations Development Program Project,
 Universidad, Autonoma Agraria 'Antonio Narro', Saltillo, Coahuila,  Mexico.
 Proceedings of  the International Salinity Conference, Texas Tech University,
 Lubbock,  Texas, August 16-20, 1976, p 575-589. 6 fig, 3 tab, 3 ref.

 Descriptors: Mexico,  Saline soils, Return flow, Runoff, Tailwater, Irrigation
 water,  Saline water, Orchards, Economics, Crop production, Water quality.

 Nearly 30%  of the total  area in Northern Mexico is extremely arid and presents
 some saline and alkali problems.  Irrigation water from wells when available  is
 often saline.   A feasibility study by FAO for orchard development in this  area
 showed that by  using runoff water from compacted inter-row area and storing and
 recirculating this water, economic returns would be satisfactory.  Total system
 of working  model consisted of low cost water harvesting subsystem,  simple  water
 harvesting  agri-subsystem and efficient compartmented tank system.   A 20 hectare
 system consisting of 10  hectares of fruit and 10 hectares of dry farming were
 found to  give internal return of 25% and benefit cost ratio of 3:1.
 YIELDS AND ACREAGE AS VARIABLES IN PLANNING THE USE OF SALINE IRRIGATION WATER:
 A CASE STUDY FROM IRAN,
 Diestel,  H., and Treitz,  W.
 Technical University Braunschweig, Leichtweiss Institute for Water Research,
 Braunschweig,  West Germany.                                    ,  „ .     .. ,
 Proceedings of the International Salinity Conference, Texas Tech University,
 Lubbock,  Texas,  August 16-20, 1976, p 480-493. 3 tab, 26 ref.
                                              107

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Descriptors: Salinity, Irrigation water, Water quality, Saline water, Salts,  River
systems, Economics, Crop production, Leaching.

Economic aspects of the salinity of irrigation water are discussed.  A case of
preliminary economic planning with irrigation water quality is described.  Tribu-
taries of the Hableh Rud River contributed about 4% to the water discharge, but
about 50% to the salt discharge of the river.  Two schemes to divert tributary
flow are evaluated from the economical  (national) and financial  (private) points
of view.  Two alternatives of use would exist with the improved river water;  to
apply it to the area which is irrigated without project implementation, which,
in the long run, would result in yield increases, or to make use of the reduction
in leaching requirement by increasing the irrigated area.  It is shown that the
latter alternative can be expected to be more profitable.  Values are given in
Rials per unit of salinity of river water which the farmers of Garmsar and the
national economy could pay per year for water improvement.  It is estimated that,
in this case, it would be only 25% more expensive to gain land by salinity reduc-
tion than by additional supply of equal quality irrigation water.
76:030-014
CHEMICAL RECLAMATION OF SOLONETZ-SOLOCHAKS IN THE ARARAT PLAIN AND THE POSSIBILITY
OF UTILIZING SALINE WATERS FOR LEACHING AND IRRIGATION,
Petrosian, G.P.
Research Institute of Soil Science and Agrochemistry, Ministry of Agriculture of
the Armenian SSR, USSR.
Proceedings of the International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20, 1976, p 466-479. 7 fig, 2 tab.

Descriptors:  Sodium, Saline soils, Salinity, Sulphuric acids, Crop production,
Leaching, Irrigation, Irrigation water, Irrigation practices.

Waste  sulphuric acid and iron vitriol are the most efficient amendments for improv-
ing soda saline soils.  Their ameliorative influence may be revealed in a very
short  time.  Applying sulphuric acid and iron vitriol causes neutralization of
alkaline reaction and desalinization of the soil, sharply increasing infiltration
rate and permeability in it.  On the reclamated soils high-yielding annual and
perennial crops are cultivated, securing very quick returns of capital investments.
76:03C-015
POTENTIAL FOR SALINE WATER IRRIGATION OF TROPICAL SOILS,
El-Swaify, S.A., Sinanuwong, S., Daud, A.R., and Tengah, A.
Hawaii University, College of Tropical Agriculture, Department of Agronomy and
Soil Science, Honolulu, Hawaii.
Proceedings of  the International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20, 1976, p 358-375. 4 fig, 4 tab, 16 ref.

Descriptors:  Saline water, Salts, Soil chemical properties, Soil physical proper-
ties, Irrigation, Irrigation practices. Hydraulic conductivity.

The effects of  waters with defined salt concentration and ionic composition on
the chemical and physical properties of irrigable tropical soils belonging to
four Orders were investigated.  Studies of cation exchange equilibria indicated
that soil affinities for sodium ion adsorption were generally in the order of
Oxisols less than Aridosols less than Mollisols less than Vertisols.  As a group,
however, these  soils exhibited less tendency to accumulate detrimental sodium ions
on the exchange complex than is known for temperate arid region soils.  Evaluation
of soil physical responses to changes in water quality by direct stability and
hydraulic conductivity methods showed that soil susceptibilities to structural
breakdown depended on the presence or absence of swelling minerals.  Both were in
the order of Aridisols less than or equal to Oxisols less than Mollisols less
than Vertisols.  It was, concluded that a promising potential exists for using
saline waters for irrigation of certain soils in the tropics when use of such
waters is necessary for expanding available water resources.
                                             108

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76:030-016
IRRIGATION WITH SALINE WATER  IN  SOUTH TEXAS,
Hipp, B.W.
Texas Agricultural Experiment Station,  Weslaco,  Texas.
Proceedings of the International Salinity Conference,"Texas Tech University
Lubbock, Texas, August 16-20,  1976,  p 345-349.  4 fig,  6 ref.

Descriptors:  Texas,  Irrigation  water.  Saline water, Water quality,  Salts  Leach-
ing, Cotton, Saline soil.

South Texas and northeastern  Mexico  is highly dependent upon irrigation water with
an EC that ranges from 1  to 4.4  mmhos/cm.  Studies were conducted on sandy loam
soil to determine the influence  of irrigation water quality on salt  distribution
in the soil profile and to determine the importance of summer and fall rains in
leaching salts from irrigated land.   Cotton was irrigated with water with EC values
of 1.2, 2.6, and 4.2  mmhos/cm.   Soil salinity was monitored with salinity sensors
after 0, 20.3, and 30.5 cm of irrigation water  was applied and after 32.7 cm of
rainfall.  Before irrigation, EC of  the 15 to 120 cm soil profile was 2.5 mmhos/cm
but two irrigations  (10 cm each) increased soil salinity in the 15-60 cm profile
to about 2.3 and 4.5  mmhos/cm for the 1.2, 2.6,  and 4.2 mmhos/cm irrigation water,
respectively.  Three  irrigations with 4.2 mmhos/cm water resulted in soil EC of
7.2, 6 and 5 mmhos/cm at  15,  30, and 60 cm depths, respectively.  Soil salinity
in the root zone was  decreased after 32.7 cm of rainfall in July and August.  This
salt application and  subsequent leaching pattern is typical of the irrigated area
of the South Texas and northeastern  Mexico and  it allows growers to  use relatively
saline water for irrigation.


76:030-017
IRRIGATION WITH SALINE WATER  IN THE  PECOS VALLEY OF WEST TEXAS,
Moore, J., and Hefner, J.J.
Texas Agricultural Experiment Station, Pecos, Texas.
Proceedings of the International Salinity Conference,  Texas Tech University,
Lubbock, Texas, August 16-20, 1976,  p 339-344.  1 tab,  7 ref.

Descriptors:  Texas,  Saline water, Irrigation water,  Dissolved solids, Crop pro-
duction, Drainage, Irrigation effects. Irrigation efficiency. Saline soil. Salinity.

The  Pecos Valley of West  Texas has been under cultivation for 30 years with pump
irrigated saline water averaging 2500 ppm total salts.  This quantity of salts
has  restricted selection  of  crops to more salt tolerant plant species and required
excessive water for leaching.  Primary problems are associated with  establishment
of  crops.  Once beyond the  seedling  stage, growth and yield have generally been
acceptable.  Internal drainage remained good and severe salt buildup has not occur-
red because of favorable  types of clay minerals and ionic composition of irrigation
waters.  The major problem  facing the area is high production cost,  especially
that of pumping irrigation water.  Expiration of a long term natural gas contract
in  1975 led to a 500  percent  increase in 1976.   This has curtailed farming oper-
ations  and has placed added  emphasis on more efficient use of water.  New concepts
and modifications of  present  irrigation management systems are being introduced.
The saline nature of  the  water and soils require that any changes in the overall
management  systems be carefully investigated to assess its future consequences on
agriculture in the area.


76:03C-018
SALINITY  EFFECTS ON CORN  YIELD, EVAPOTRANSPIRATION, LEACHING FRACTION, AND IRRI-
GATION  EFFICIENCY,
Stewart,  J.I., Hagan, R.M.,  and Pruitt, W.O.
California University, Department of Land, Air and Water Resources,  Water Science
and Engineering Section,  Davis, California.
Proceedings of the  International Salinity Conference, Texas Tech University,
Lubbock, Texas, August  16-20, 1976,  p 316-332.  3 fig, 4 tab, 10 ref.

Descriptors:  Salinity,  Crop production, Evapotranspiration, Leaching,  Irrigation
efficiency, Irrigation water, Saline water. Salt balance, Corn.

 In  each individual cropping situation there exists a 'limiting salt concentration'
 (LSC) at which irrigation water can no longer be absorbed by roots of plants  and
                                              109

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transpired.  The LSC in any particular farm field and season depends on crop type,
soil texture, and salinity of the upper profile soil solution in which germination
and early root activity takes place.  Irrigation water can only be concentrated
to the LSC which is determined by the early conditioning of the crop, and which
in future may be estimated by a preplant measurement of the upper soil salinity.
Thus, a 'refusal fraction* (RF) also exists which is dependent on the LSC, and
on the salinity of the irrigation water supply.  The RF is the portion of applied
water which remains in the soil and which contains the concentrated salts at the
LSC level, when transpiration has effectively ceased.  The RF pertains whether
water supply is adequate for the crop or is limited, and whether or not leaching
occurs.  If these is leaching during the growing season in question, the RF con-
stitutes the minimum leaching fraction which will maintain the salt balance of
the root zone.

76:03C-019
IRRIGATION WITH SALINE WATER UNDER DESERT CONDITIONS,
Hardan, A.
Higher Agricultural Council, Baghdad, Iraq
Proceedings of the International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20,' 1976, p 165-169. 2 tab, 6 ref.

Descriptors:  Crop production, Groundwater, Rainfall, Salinity, Saline water.
Orchards, Crop response, Salts.

A Desert Development Program was designed and initiated to determine the potential-
ity of agricultural production under desert conditions through the development of
available groundwater and harvested rainfall.  The suitability of different manage-
ment practices of water, soil, and crops are under study in several stations in
the Western Desert of Iraq.  The central station is located about 60 km west of
the town of Haditha at an elevation of 320 m above sea level.   The average rain-
fall of this station is 11 cm.  Irrigation waters of about 500, 2000, and 4000 ppm
soluble salt concentration were used to irrigate pear trees, wheat, and potatoes.
Data on soil salinity, tree growth, and yield of wheat and potatoes were collected
and analyzed.  The results show no significant difference in the growth of pear
trees or in wheat production at all levels of water salinity-   However, the pro-
duction of potatoes decreased significantly at the 4000 ppm level of soluble salt
concentration.
                                            110

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                                 SECTION XVI

                   WATER SUPPLY AUGMENTATION AND CONSERVATION

             CONSERVATION IN DOMESTIC  AND  MUNICIPAL USE  (GROUP  03D)


76:030-001
LONG-TERM EVALUATION OF SLOW-RELEASE NITROGEN SOURCES  ON TURPGRASS,
Waddington, D.V., Moberg, E.L., Duich, J.M,  and Watschke,  T.L.
Community College of the Finger Lakes, Canandaigua, New  York.
Soil Science Society of America Journal, Vol. 40, No.  4, p 593-597,  July-August
1976.  5 fig, 2  tab, 3 ref.

Descriptors:  *Turf grasses, *Kentucky bluegrass, *Ureas,  *Nitrogen,  Nutrients,
Fertilization, Crop response.

Short-term studies with slow-release nitrogen sources  have not  provided infor-
mation on the changes  in response that may occur with  continued use  of  a given
material.  In this study eight nitrogen sources were used to fertilize  "Merion"
Kentucky bluegrass for 7 consecutive years to obtain long-term  results.   Fertili-
zers used were urea, Uramite,  IBDU (isobotylidene diurea), Urex(urea-paraffin
matrix), ADM  (plastic  coated urea), Milorganite  (activated sewage sludge),  and
two complete  (NPK) fertilizers, with two-thirds of the nitrogen from ureaform
or IBDU and the  remainder  soluble.  Urea was applied every other week and the
other fertilizers were applied one, two or three times per season to obtain
total N of 1.46, or 2.44 kg/100  sq m.   Weekly clipping yields and color ratings
were used to evaluate  turfgrass  response to the fertilizer treatments.   Milor-
ganite, uramite, and IBDU  produced more uniform growth than Urex, ADM,  and the
complete fertilizers.  Response  to Urex, ADM, and the  complete  fertilizer with
IBDU was similar, and  was  often  characterized by excessive growth after applica-
tion.  The greatest increase  in  response with continued  use occurred with Uramite,
which was the least efficient  fertilizer in the first  two years.  At the end of
the  7-year period, determinations of yield, color, and total soil N  indicated
that Uramite had the greatest  residual effect.
                                              Ill

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                                 SECTION XVII


                   WATER SUPPLY AUGMENTATION AND CONSERVATION

                   CONSERVATION IN INDUSTRIAL USE  (GROUP 03E)


76:03E-001
WATER AVAILABLE FOR ENERGY—UPPER COLORADO RIVER BASIN,
Hansen, D.C.
Utah State Engineer's Office, Salt Lake City, Utah.
Journal of the Water Resources Planning and Management Division, Vol. 102, No.
WR2,  Proceedings of the American Society of Civil Engineers, p 341-348, November
1976.  1 tab, 5 ref.

Descriptors:  *Colorado River, *Water resources, *Water rights, *Energy, Water
supply.

The Upper Colorado River Basin has abundant deposits of fossil fuels and miner-
als,  and numerous projects are in progress, planned or projected, to extract
those resources.  The first question that needs to be answered to make it pos-
sible for these projects to become reality is the-availability of water.  The
Upper Colorado River Basin states are presently depleting 60% of the water
apportioned to them under the Colorado River Compact of 1922.  Of the 40% remain-
ing it is difficult to specify the exact amount of water available for future
development because of the uncertainty of the amount of water needed to satisfy
the Indian water rights and the amount of water that has been committed to
various projects by the Upper Colorado River Basin states.  A joint effort
between Federal, state, and Indian leaders is needed to make water available
for energy development and to insure that all Indian water rights are satisfied.
                                             112

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                                 SECTION XVIII

                    WATER SUPPLY AUGMENTATION AND CONSERVATION

                      CONSERVATION IN AGRICULTURE (GROUP 03F)


 76:03F-001
 DISTRIBUTION  OF WATER AND IONS IN SOILS IRRIGATED AND FERTILIZED FROM A TRICKLE
 SOURCE,
 Bar-Yoseph, B.,  and Sheikholslami, M.R.
 Agricultural  Research Organization, Division of Soil Chemistry and Plant Nutri-
 tion, Bet Dagan,  Israel.
 Soil Science  Society of America Journal, Vol. 40, No. 4, p 575-582, July-August
 1976.   4 fig,  12 tab, 11 ref.

 Descriptors:   *Irrigation practices, Irrigation efficiency,  Irrigation systems,
 *Subsurface irrigation, *Application methods, Irrigation, Water distribution
 (Applied), Infiltration, Ion transport. Mathematical models,  Moisture content,
 Soil types, Discharge (Water), Clays, Denitrification, Sands, Phosphates,
 Nitrates, Hydraulic conductivity.


 Trickle irrigation is becoming increasingly important in modern agriculture,
 but the simultaneous distribution of water and nutrients emerging from a trickle
 source  has been insufficiently studied.  This paper reports a laboratory study
 of simultaneous distributions of water, N03-N and Pin clay and sandy soils irri-
 gated daily from a trickle source.  Hydraulic conductivity data, water retention
 curves  and absorption isotherms to the soils were determined to enable verifi-
 cation  of mathematical models against the experimental results obtained under
 various conditions.  Adding identical amounts of water but increasing the trickle
 discharge rate in the sandy soil irom 250 to 2,500 mililiters per hour increased
 the vertical  movement of the wetting front and decreased horizontal movement.
 In a sequence of three cycles of irrigation with a nutrient solution, losses of
 nitrate were  observed in the clay soil, probably due to denitrification pro-
 cesses.  The  restricted mobility of the phosphate ions, even in the sandy soil,
 implies that  a preirrigation mixing of P in the soil, supplemented by its addi-
 tion to the irrigation solution, is necessary to obtain a uniform P concentra,-
 tion in the soil volume.


 76:03F-002
 COMPARISON OF  IRRIGATION SCHEDULES BASED ON PAN EVAPORATION AND  GROWTH STAGES
 IN WINTER WHEAT,
 Prihar, S.S.,   Khera,  K.L.,  Sandhu,  K.S.,  and Sandhu,  B.S.
 Punjab Agricultural  University,  Ludhiana,  India.
 Agronomy Journal, Vol.  68,  No.  4,  p 650-653,  July-August 1976.   2  fig, 3  tab,
 11 ref.

 Descriptors:    *Irrigation efficiency,  Irrigation effects,  *Wheat,  *Evapora-
 tion pans,  *Growth  stages,  Crop  response,  Water conservation,  Irrigation
 practices.  Water management (Applied),  Crop production,  Irrigation water.

 Water use efficiency  improved by irrigation of  winter wheat (Triticum aestivum)
 using a ratio  of some fixed amount of  irrigation water (IW) to pan  evaporation.
 PAN-E,   (cumulative evaporation from U.S. Weather Bureau  class A  pan less  rain
 since previous irrigation)  and scheduling  according  to growth  stages.  In a
 2-year field study,  IW/PAN-E ratios  of Q.75 and 0.9  for  scheduling  irrigation
 to winter wheat irrespective of  growth stage  were compared  with  a combination
 of IW/PAN-E  with growth  stages and the conventional  technique of irrigating  at
 five growth  stages.  The  0.75 ratio  irrespective of  growth  stage produced as
 large a grain  yield as irrigation  at five  growth stages  while using an average
of 12 cm less  irrigation.   Combining IW/PAN-E with growth stages did not improve
the yield.   The major advantage  of  this approach is  that the farmer need  not
change  the amount of water  from  one  application  to the next.  With rain,  the
interval for the next irrigation would  increase.
                                              113

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76:03F-003
AN EXPERIMENTAL BURIED MULTISET IRRIGATION SYSTEM,
Worstell, R.V.
Agricultural Research Service, Snake River Conservation Research Center,
Kimberly, Idaho.
Presented at the 1975 Winter Meeting of the American Society of Agricultural
Engineers, December 15-18, 1975, Chicago, Illinois, 15 p, 8 fig, 2 tab, 7 ref.

Descriptors:  *lrrigation, *Irrigation systems. Irrigation design, Irrigation
effects, Irrigation efficiency. Irrigation practices. Water conservation, Soil
moisture, Soil moisture movement. Design criteria, Construction, Operations.

Criteria for the design, construction, and operation of an experimental buried
lateral, gravity multiset irrigation system are presented.  The system has a
potential water application efficiency of 80% with very little runoff or erosion
without automatic controls.  With automatic controls and with water available on
demand, light, frequent irrigations can be applied with efficiencies of 90 to
95%.  The energy required to operate the system is minimal and labor require-
ments involve only periodic inspection and maintenance services.  Cost and bene-
fit estimates indicate that this.system may be economically feasible, practical,
and attractive at a time of rising energy costs and labor shortages.


76:03F-004
EVAPORATION REDUCTION FROM SOIL WITH WHEAT, SORGHUM, AND COTTON RESIDUES,
Unger, P.W., and Parker, J.J.
United States Department of Agriculture', Southwestern Great Plains Research
Center, Bushland, Texas.
Soil Science Society of America Journal, Vol. 40, No. 6, p 938-942, November-
December  1976.  5 fig, 2 tab, 20 ref.

Descriptors:  *Wheat, *Grain sorghum, *Cotton, Evaporation, Soils, Soil proper-
ties, Soil water. Water conservation, Mulching.

Wheat, grain sorghum, and cotton are major irrigated crops on the Southern
Great Plains.  While irrigated wheat residue mulches increase soil water storage
and decrease evaporation, very limited data are available regarding the effect-
iveness of grain sorghum and cotton  (stalk) residues for this purpose.  There-
fore, this study was conducted to compare the effectiveness of wheat, grain
sorghum,  and cotton residues for decreasing evaporation under three potential
evaporation conditions and to determine which residue characteristics are most
effective for decreasing evaporation.  The laboratory tests were conducted on
Pullman clay loam soil columns at potential evaporation rates of 0.66, 0.92, and
1.29 cm/day.  Besides a bare soil (check) treatment, residue treatments were 4,
8, 16, and 32 metric tons/ha for sorghum and cotton, and 8 metric tons/ha of
wheat residue.  Multiple regression analyses indicated that residue thickness
most strongly affected cumulative evaporation and evaporation rates at selected
days of the study.  Other independent variables considered were potential
evaporation, relative humidity, and residue specific gravity, application rate,
and surface coverage.


76:03F-005
PHOSPHORUS FERTILIZATION WITH DRIP IRRIGATION,
Rauschkolb, R.S., Rolston, D.E., Miller, R.J., Carlton, A.B., and Burau, R.G.
California University, Department of Land, Air, and Water Resources, Davis,
California.
Soil Science Society of America Journal, Vol. 40, No. 1, p 68-72, January-
February  1976.  3 fig, 3 tab, 10 ref.

Descriptors:  *Phosphorus, *Nutrients, *Fertilization, *Fertilizers, Irrigation,
Irrigation system, Irrigation effects, Irrigation operation and maintenance.

Application of plant nutrients with drip irrigation systems in desirable for
labor and energy savings and flexibility in timing nutrient applications.
Evaluations of P movement in the soil and uptake by tomatoes were made when
orthophosphate and glycerophosphate were applied through a drip irrigation
system and in camparison with 26 kg of P/ha banded below the seed at planting.
                                              114

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A significantly higher P  content was measured in seedling leaves when 26 ka of
P/ha was applied by drip  irrigation than when the same rate was banded   No
differences in P content  of  whole tops of seedlings were measured at equal rates
of inorganic or organic P applied through the drip system.   There was a signifi-
cant linear response  of P uptake to P rate.  With drip irrigation, orthophos-
phate moved a much greater distance into the soil than had been previously
observed for comparable application rates per hectare.  Glycerophosphate moved
5 to 10 cm farther through the soil at application rates of 6.5 and 13 kg of
P/ha than did orthophosphate.


 76:03F-006
 AMMONIA VOLATILIZATION AND NITROGEN UTILIZATION FROM  SULFUR-COATED UREAS AND
 CONVENTIONAL NITROGEN FERTILIZERS,
 Matocha,  J.E.
 Texas A and M University Agricultural Research Extension Center,  Corpus Christi,
 Texas.
 Soil Science Society of America  Journal, Vol. 40, No. 4, p  597-601, July-Auqust
 1976.   2 fig,  2 tab, 17 ref.

 Descriptors:  *Ammonia,  *Nitrogen,  *Ureas,  Nutrients, Fertilization, Calcareous
 soils, Acidic soils, Cation exchange, Corn,  Lime.

 Ammonia volatilization was measured on  acid and calcareous  soils  receiving sul-
 fur-coated ureas (SCU) and highly  soluble  N fertilizers.  Surface and mixed
 applications of SCU-30 (30% dissolution rate), SCU-20 (20%  dissolution rate),
 uncoated (NH2)2CO,  NH4N03, and  (NH4)2S04 were made with and without lime to a
 fallowed acid fine sand .  Without lime, top dressed  NH4N03, SCU-20, SCU-30, and
 (NH4)2SO4 lost < 1% while (NH2)2CO lost 18.5% of  added N in 14 days.  Topdress-
 ing lime with N caused more NH3  loss  from  (NH4)2S04 than from  (NH2J2CO during
 the initial 48 hours.  However,  accumulative loss for 14 days were 51.5, 22.5,
 9.0, and 1.7% from (NH2)2CO,  (NH4)2S04,  SCU-30 and SCU-20,  respectively.  Incor-
 porating the lime with the soil  prior to N addition reduced NH3  loss > 50% as
 compared to surface application, but mixing N with the limed acid soil did not
 reduce NH3-N losses.  Mixing  SCU with the  soil appeared to  increase release rate
 of N over topdressing, but this  effect  was not detected in  plant  response.
 Nitrogen uptake by corn  on the  acid  soil substantiated some of the conclusions
 regarding measured NH3-N  losses.   Ammonia  losses  from N mixed with the finer
 textured calcareous clay  loam were generally insignificant.  Surface applied
 (NH2)2CO and (NH4)2S04 lost'significant amounts of NH3-N while losses from SCU
 and NH4NO3 were negligible.


 76:03F-007
 INFLUENCE OF LONG TERM TILLAGE,  CROP  ROTATION, AND SOIL TYPE COMBINATIONS ON
 CORN YIELD,
 Van Doren,  D.M. Jr., Triplett,  G.B.  Jr, and Henry, J.E.
 Ohio Agricultural Research  and  Development Center, Department of  Agronomy and
 Agricultural Engineering, Wooster, Ohio.
 Soil Science Society of  America Journal, Vol. 40, No. 1, p  100-105, January-
 February 1976.  5 tab, 12 ref.

 Descriptors:  *Till,  Crop production. Crop response,  Corn,  Crops, Soybeans,
 Ohio, Soils.

 Studies to compare the relative ability of a wide range of  tillage and crop
 rotation combinations  (3 multiplied by  3 factorial) to sustain corn production
 on several soils typical  of Ohio were initiated  in 1962.   Soils were a well-
 drained Wooster silt loam,  an imperfectly  drained Crosby silt  loam, a very
 poorly drained Hoytvllle silty  clay loam,  and a very  poorly drained Toledo clay.
 Tillage treatments were  no-tillage;  plow and then plant; and plow, disk, and
 plant.  Rotations were continuous  corn, corn-soybeans, and  corn-oats with each
 crop appearing each year  in each rotation.  Results are reported  only for plots
 having equal plant density within  a site-year combination,  and adequate weed
 control.  Corn yie'lds were  remarkably insensitive to  tillage.  The two plowed
 treatments had equal yield  for  virtually all years at each  site  within the same
 rotation.
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76.-03F-008
SULFUR-COATED FERTILIZERS FOR SUGARCANE:  I. PLANT RESPONSE TO  SULFUR-COATED
UREAS,
Gascho, G.J., and Snyder, G.H.
Florida University, Department of Plant Nutrition, Belle Glade,  Florida.
Soil Science Society of America Journal, Vol. 40, No.  1, p 119-122,  January-
February 1976.  1 fig, 2 tab, 14 ref.

Descriptors:  *Fertilizer, *Fertilization, *Sugarcane, Urea, Nutrients, Crop
response. Crop production, Nitrogen, Soils.

Crop growth and yield on sand soils is often limited by low N availability  due
to leaching losses from the soil.  This study was initiated to  determine  if
sulfur-coated urea (SCU) could supply adequate N nutrition and  eliminate  the
need for repeated N applications for sugarcane grown on previously uncropped
Immokalee fine sand in southern Florida.  Single applications of  two  SCU's  were
compared with split applications of (NH4)2S04(AS), each at three  N rates, 56,
112, and 168 kg/ha.  Application of SCU at planting in November  resulted  in
excellent growth and high leaf N concentrations in the spring but did not provide
optimum N throughout the growing season.  Leaf N concentrations  in late summer
and tonnages of sugarcane and sugar for SCU plots approached, but did not equal,
those  attained with four applications of AS.  Higher tonnages were recorded for
the slower releasing SCU than for the faster releasing source but both SCU
sources released large amounts of N before the warm summer months when N  is
required in the highest quantities.  The data indicate that SCU's which release
N more slowly and/or later application date should provide better N nutrition
and eliminate the need for several split applications of soluble  sources.


76:03F-009
SULFUR-COATED FERTILIZERS FOR SUGARCANE:  II. RELEASE CHARACTERISTICS OF  SULFUR-
COATED UREA AND KC1,
Snyder, G.H., and Gascho, G.J.
Florida University, Department of Soil Chemistry, Belle Glade, Florida.
Soil Science Society of America Journal, Vol. 40, No. 1, p 122-126, January-
February 1976.  4 fig, 2 tab, 11 ref.

Descriptors:  *Nitrogen, *Potassium, *Fertilizers, *Fertilization, Leaching,
Nutrients, Soils, Crop production, Florida.

Nitrogen release from sulfur-coated urea and K release from S-coated  KC1 were
examined by several techniques under field conditions in three south  Florida
sand soils in order to assist in the interpretation of plant response data  and
to provide insight into the use of three slow-release fertilizer  materials.
Decreased thickness of S coating, higher temperatures and higher  moisture gener-
ally favored nutrient release.  However, considering the range of field conditions
involved in the studies, variations in N and K release were comparatively small.
Release was rapid during the first 6 months, averaging 70-80% of  that applied,
but was much slower thereafter.


76:03F-010
TIME-DEPENDENT LINEARIZED INFILTRATION:  III. STRIP AND DISC SOURCES,
Warrick, A.W., and Lomen, D.O.
Arizona University, Department of Soils, Water,  and Engineering,  Tucson, Arizona.
Soil Science Society of America Journal, Vol. 40, No. 5, p 639-643, September-
October 1976.  3 fig,  12 ref.

Descriptors:  Soil water, Soil water movement,  Irrigation, Irrigation effects,
Irrigation practices.  Irrigation systems.

Water  flow from strip and disc surface sources is analyzed using  an approach sim-
ilar to previous investigations with line and point sources.   A line  of closely
spaced trickle irrigation emitters often wets a surface strip of  finite width;
similarly,  for a single emitter the surface wetted pattern is a disc.  Lines of
equal matric flux potential are wider and more shallow for these  sources than
wetting patterns for the line and point.  The moisture regime is  independent of
the source shape and depends only on the total flow rate for regions  beyond
approximately two times the strip width or disc radius.
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76:03F-011
WATER USE AND PRODUCTIVITY  OF  WHEAT UNDER FIVE IRRIGATION TREATMENTS
Ehlig, C.F., and LeMert,  R.D.
Agricultural Research  Service-United States Department of Agriculture,  Western
Region, Brawley, California.
Soil Science Society of America Journal,  Vol.  40, No. 5,  p 750-755
October 1976.  6 fig,  1 tab,  11 ref.                     P        '

Descriptors:  Irrigation  Irrigation effects, Irrigation practices, Wheat,  Crop
production. Consumptive use,  Soil moisture, Evapotranspiration,  Lysimeters.

Water use and yield of wheat  compared under five irrigation treatments  using
wheat planted in a silty  clay  loam soil in December and harvested in May  Water
was applied at five rates from 11% more to 23% less than evapotranspiration  (ET)
from a weighing lysimeter planted to the same  crop.  Equal quantities of water
per irrigation were applied at 76 mm in the pre-emergence and the first post-
emergence irrigations  and 102  mm in later irrigations.  For a 102-mm application,
an irrigation was scheduled whenever cumulative ET from the lysimeter reached
91, 102, 112, 122, and 132  mm of water, since  the last scheduled irrigation  for
the treatments.  Total amounts of 485 to 688 mm of water were applied in five  to
seven irrigations.  Soil  water content to 1.5  m decreased progressively with
water applications below  ET.   The soil water content was determined  gravimetri-
cally before each irrigation  and water use determined from differences  in  soil
water content between  irrigations plus the amount of applied water.   Seasonal
water use decreased progressively from 677 to  540 mm as irrigation frequency
decreased, although water use  in all treatments was similar for  the  first  120
days.  Yields decreased as  water applications  decreased,  except  between the
treatments equal to ET and  at 10% below ET. At the three driest treatments
yield decreased proportionately with water use, indicating that  water use  effic-
iency was not increased by  restricting water use below ET from adequately
watered wheat.


76:03F-012
NITROGEN, PHOSPHORUS,  AND POTASSIUM UTILIZATION IN THE PLANT-SOIL SYSTEM:  AN
ANALYTICAL MODEL,
Smith, O.L.
Oak Ridge National Laboratory, Oak Ridge, Tennessee.
Soil Science Society of America Journal,  Vol.  40, No. 5,  p 704-714,  September-
October 1976.  11 fig, 2  tab,  61 ref.

Descriptors:  Nitrogen, Phosphorus, Potassium, Model studies, Crop production,
Crop response. Absorption,  Nutrients, Simulation analysis.

An intermediate-resolution analytical model of nitrogen,  phosphorus, and potas-
sium utilization in the plant-soil system was  developed and tested.   Starting
from specified natural or artificial sources in the soil, element transport  to
root absorption surfaces  was  modeled in terms  of diffusion, mass flow,  and soil
buffering mechanisms.  Element uptake was described by carrier theory formalism,
and assimilation was based  on four premises about the roles of N, P, K, and
photosynthate in cell  chemistry-  There were three main objectives of the  model.
The first was to predict  the  first-order interactive growth response of particu-
lar plant species to any  combination of these  macronutrients supplied in the
soil medium.  Species  parameters required by the model include root  absorption
rate and certain cell  chemistry reaction rates.  The second objective was  to
make the model sufficiently general to describe a broad range of species.  It
was built upon common  denominator principles of physiology condensed from  avail-
able experimental data on corn, bean, pine, etc.  In this generic sense it is  a
measure of what plants have in common.  The third objective was  to use  the model
to test several well-known theories of plant growth.  The model  was  validated
against reported experiments  on ryegrass, oat, a legume,  and rutabaga,  in  which
dry matter yield was measured as a function of factorial application of N, P,
and K to the soil.  The model  shows that much  of the deficient,  optimal, toxic,
and interacitve response  of plants to N,  P, and K can be explained in terms  of
strong linear response of cell chemistry to low nutrient concentrations and
inhibition by N, P, and K at  high nutrient concentrations.
                                             117

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76:03F-013
PHOSPHORUS-ZINC INTERACTION IN RELATION TO ABSORPTION RATES OP PHOSPHORUS,  ZINC,
COPPER, MANGANESE, AND IRON IN CORN,
Safaya, N.M.
North Dakota University Project Reclamation, Grand Forks, North Dakota.
Soil Science Society of America Journal, Vol. 40, No. 5, p 719-722,  September-
October 1976.  4 tab, 24 ref.

Descriptors:  Nutrients, Fertilization, Phosphorus, Zinc, Copper, Manganese,
Iron, Corn, Crop production. Crop response.

The effects of P and Zn on growth , nutrient content in tops and roots,  and the
rates of absorption of P, Zn, Cu, Mn, and Fe per unit fresh weight of roots for
two growth periods of corn were studied in soil culture under greenhouse condi-
tions.  Visual symptoms of Zn deficiency appeared in plants when the level  of
applied P was raised to 75 micro g P/g soil.  Phosphate decreased tissue-Zn
concentration and Zn flux through roots.  Zinc deficient plants had  higher
concentration of P in their tissues.  Phosphate flux was mostly reduced  with Zn,
but during 27-48 days growth, Zn-supplied plants retained near identical  rates  of
P absorption  (approximately 14 micro g/g fresh root/day) irrespective of the
level of P supplied.  The rate of Cu absorption was reduced with both P  and Zn
as the plants aged.  Manganese flux was initially stimulated by P but later on
drastically reduced by Zn.  Iron concentration in plants decreased with  Zn
application but significant reduction in Fe flux with Zn occurred during early
growth of 25 ppm P-supplied plants only.  In general, nutrient fluxes diminished
with plant age.


76:03F-014'
CALCIUM AND STRONTIUM ABSORPTION BY CORN ROOTS IN THE PRESENCE OF CHELATES,
Malzer, G.L., and Barber, S.A.
Minnesota University, Department of Soil Science, Minneapolis, Minnesota.
Soil Science Society of America Journal, Vol. 40, No. 5, p 727-731,  September-
October 1976.  3 fig, 3 tab, 13 ref.

Descriptors:  *Strontium *Calcium, Corn, Crop production,  Absorption, Plant
growth.

While chelates have been shown to increase the flux of metal cations into roots,
the mechanism has been subject to question.  The objective of this research was
to characterize the action of chelates on metal cation absorption.   Calcium and
Sr rather than micronutrient metals were used because some plant roots do not
discriminate in their absorption, hence, relative flux of Ca vs. Sr  could be used
to evaluate uptake mechanisms.  The chelates used were EDTA, DTPA, and HEDTA.
Flux into corn roots was determined by monitoring Ca, Sr,  and chelate depletion
from solution with time.  Double labeling of Ca and Sr with Ca-45 and Sr-85 was
used.  Ligand concentrations were measured using Cd titration, C-14-labeling,
and UV-absorption measurements of Cu-ligand complexes.  Calcium and  Sr were
removed from solution more rapidly than the chelate.  Only 11 to 16% of  the
chelating ligand was absorbed over a 5-day period, whereas 90% or more of  each  of
Ca and Sr was absorbed.  The Ca/Sr ratio of uptake indicated that some of the
Ca and Sr was absorbed directly from the chelate.  However, where Ca(2+)  was
maintained by continual addition, chelated Ca appeared relatively unavailable
to the plant.


76:03F-015
EFFECTS OF BORON AND NITROGEN ON GRAIN YIELD AND BORON AND NITROGEN  CONCENTRA-
TIONS OF BARLEY AND WHEAT,
Gupta, U.C., MacLeod, J.A., and Sterling, J.D.E.
Research Branch, Research Station, Agriculture Canada, Box 1210, Charlottetown,
Prince Edward Island, Canada.
Soil Science Society of America Journal, Vol. 40, No. 5, p 723-726,  September-
October 1976.  5 tab, 12 ref.

Descriptors:  Boron, Nitrogen, Wheat, Barley, Crop production. Crop  response,
Grains (crops).

In field experiments, 4.48 kq B/ha added to soil decreased the grain yield  of
                                             118

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barley and wheat.  Under  greenhouse  conditions,  0.5 ppm,  added B reduced wheat
yields while 1.0 ppm added  B  reduced barley yields.  The  B toxicity in wheat in
1974 and barley and wheat in  1975  at 2.24 kg B/ha as associated with "educed
yield was alleviated somewhat by the additions of N to the soil in field experi-
ments, but the effect was riot significant,   under greenhouse  conditions, addition
of 50 ppm N or more reduced B uptake and alleviated B toxicity.  In general   the
B toxicity symptoms on  the  foliage under field conditions were associated with
> 11 ppm B in wheat boot  stage tissue (BST)  and > 14 ppm  B in BST of barley
Added B increased the N concentration of grain where yields were decreased due
to B toxicity.  Wheat yields  increased with increased rates of N application
in all field experiments, while barley yields increased with  increased rates of
N in 2 of the 3 years.  In  field experiments the highest  B value was 34 ppm
Concentrations as high  as 312 ppm B  were found in greenhouse  experiments.  In
the presence of added B under greenhouse conditions, the  barley tissue B concen-
tration was much lower  when the moisture level near the fertilizer band was  low
than when it was high.


76:03F-016
MODEL FOR PREDICTING EVAPOTRANSPIRATION FROM NATIVE RANGELANDS IN THE  NORTHERN
GREAT PLAINS,
Hanson, C.L.
Agricultural Research Service,  Northwest Watershed Research Center,  Boise, Idaho.
Transactions of the American  Society of Agricultural Engineers, Vol.  19,  No.  3,
p 471-481, May-June 1976.   5  fig,  4  tab, 42  ref.
(See 76:020-004)


 76:03F-017
 PLANT WATER STRESS CRITERIA FOR IRRIGATION SCHEDULING,
 Stegman,  E.G.,  Schiele,  L.H.,  and Bauer, A.
 North Dakota  state University, Department of Agricultural Engineering,
 Fargo,  North Dakota.    ,
 Presented at the 1975  Winter Meeting of the American Society of Agricultural
 Engineers,  December 15-18,  1975,  Chicago, Illinois, 22p,   7 fig,  6 tab, 18 ref,
 ASAE, Paper 75-2555.
 (See 76:02G-075)


 76:03F-018
 UPWARD WATER MOVEMENT 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. 19,
 No.  2,  p 275-283,  March-April, 1976, 12 fig, 3 tab, 29 ref.

 Descriptors:   *Groundwater movement, *Subsurface irrigation,   *Cores, *Model
 studies.  Laboratory tests.  Theoretical  analysis,  Hydraulic properties, Soil
 properties, Soil profiles.  Soil water movement,  Design, Water  table,
 Equations,  Irrigation,  Pressure head, Moisture content, Boundaries  (Surface),
 Tensiometers,   Hydraulic gradient, Hysteresis.


 Subirrigation experiments were conducted under various initial and boundary
 conditions  using large, undisturbed cores from two  field  soils.  The pressure
 head distribution and flow volume were measured  continuously, and the desorption
 and imbibition  character of the soil water were  determined using pressure plates.
 The  effect of  air entrapment on  water  content was  determined gravimetrically,
 while the hydraulic conductivity-pressure head relationship was determined for
 each soil,  from transient pressure head measurements during a drainage
 event.   An  approximate model was  developed to describe vertical water movement
 during subirrigation.   This model as well as the Richards equation were tested
 against experimental results from both  soils.  Substantial variability was
 evident in  both measured soil properties and in  water movement phenomena.  The
 approximate subirrigation model provided acceptable agreement with the obser-
 vations.   Consideration of soil stratification generally  improved model
 accuracy.   For  engineering design the added time and expense  of  sophisticated
 models are  not  justified in comparison  to the approximate model.  Determination
 of the total  volume of stored water in  a profile under specified boundary con-
 ditions is  essential  to predictions of water movement.

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76:03F-019
A COMBINED MODEL FOR OPERATING IRRIGATED AGRICULTURAL  SYSTEMS  UNDER
UNCERTAINTIES,
Amir, I., Friedman, Y., Sharon, S., and Ben-David, A.
Technion-Israel Institute of Technology, Lowdermilk Faculty of Agricultural
Engineering, Haifa, Israel.
Transactions of the American Society of Agricultural Engineers, Vol.  19,  No.  2,
p 299-304, March-April 1976.  2 fig, 5 tab, 9 ref.

Descriptors:  *Irrigation systems, Agriculture, *Planning, *Operations  research,
*linear programming, *Simulation analysis, *Computer programs, Optimization,
Decision making, Monitoring, Cotton, Q        theory,  Hydraulics,  Scheduling,
Constraints, Equations, Systems analysis, Mathematical models, *Risks.

Irrigation is a well-defined subsystem in a comprehensive agricultural  pro-
duction system.  Both of these systems are interrelated.  An adaptable  ad hoc
linear model has been found to be suitable for planning and operating the entire
system under uncertainties.  This model is the framework of the irrigation  sub-
system.  Unfortunately, many of the factors involved in irrigation  create non-
linear functions and thus cannot be directly included  in the linear model.  This
paper suggests using a linear model to (1) solve the overall system for optimal-
ity,  (2) to check by a simulation technique whether the solution is feasible
and meets the irrigation system set-up and requirements, and  (3) to change, if
necessary, one or both of the systems in order to achieve the  best  feasible
comprehensive solution.  The combined model has been carried out for  89
possible different cotton activities of 430 ha, reflecting various  irrigation
equipment and methods.  The outcome provides a detailed irrigation  timetable
and a list of the required parameters (pressure heads  and discharges) for con-
trolling the hydraulic network as well as the optimal  overall  solution.


76:03F-020
SURFACE RESIDUE, WATER APPLICATION, AND SOIL TEXTURE EFFECTS ON WATER
ACCUMULATION,
Unger, P.W.
Agricultural Research Service, and Southwestern Great Plains Research Center,
Bushland, Texas.
Soil Science Society of America Journal, Vol. 40, No.  2, p 298-300, March-April
1976.  2 fig, 14 ref.
 (See 76.-02G-078)


76:03F-021
VERTICAL FLOW OF AIR AND WATER WITH A FLUX BOUNDARY CONDITION,
McWhorter, D.B.
Colorado State University, Department of Agricultural Engineering,  Fort
Collins, Colorado.
Transactions of the American Society of Agricultural Engineers, Vol.  19,  No. 2,
p 259-265, March-April 1976.  3 fig, 1 tab, 7 ref.
(See 76:02G-082)


76:03F-022
EROSION FOR CORN TILLAGE SYSTEMS,
Siemens, J.C., and Oschwald, W.R.
Illinois University, Department of Agricultural Engineering, Urbana-Champaign,
Illinois.
Transactions of the American Society of Agricultural Engineers, Vol.  19.-  No. 1,
p 69-72, January-February 1976.  3 fig,  6 tab, 14 ref.

Descriptors:  *Erosion control, *Cultivation, *Farm management, Crops,  Corn
(Field), Rainfall, Simulated rainfall, Sediments, Nutrients, Runoff,  Soil
erosion, Soil conservation. Agricultural runoff, Agricultural engineering,
Agriculture.

The erosion control effectiveness of six tillage-planting systems after planting
in corn residue was measured.   The tillage systems utilized different types
and amounts of tillage in order to produce soil surfaces that varied  in
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residue quantity and soil  looseness  in the tilled layer,   A rainfall  simulator
for application of simulated  rain  to plots was described.   Conservation  tillage
systems following corn  such as  chop-plant disk-chisel,  coulter-chisel and
chisel can significantly reduce soil loss from that of  fall plow   After plant-
ing, these tillage systems have a  greater impact on soil  loss  than  on surface
runoff.  The loss of N  and P  in surface runoff may not  differ  significantly
between tillage treatments, given  the fertilizer application practices followed
by most Corn Belt crop  producers.  Conservation tillage systems  can,  however,
significantly influence the loss of  total N and P as a  result  of the  influence
on sediment removal.  Total N and  P  loss may have little  short-term influence,
but accumulated losses  over time will eventually influence the need for  N and
P fertilizers.


76:03F-023
NITROGEN FLUX INTO CORN ROOTS AS INFLUENCED BY SHOOT REQUIREMENT,
Edwards, J.H., and Barber, S.A.
Agricultural Research Service,  Byron, Georgia.
Agronomy Journal, Vol.  68, No.  3,  p  471-473, May-June 1976. 3 tab, 8 ref.

Descriptors:  *Nitrogen,  *Fertilizer, *Nutrient requirements,  *Corn (Field),
*Root  zone, Planting management, Plant growth, Absorption.

Experiments were conducted to determine the influence of  shoot N requirements
on N unflux/M of corn roots.  Trimmed- and split-root procedures were used for
solution culture experiments  in the  growth chamber to vary the N absorbing
roots/unit of shoot and assess  the impact on N influx.  Roots  trimmed 2  days
before influx measurement  had slight increases in the N influx/m of root,
causing reduced N uptake/plant. Roots split between N-containing and N-free
solutions from seedling stage until  influx measurement at 16 or  18  days  had
greater increases in net  N influx  than trimmed roots had.   Both  experiments
revealed no  relation between  N  level within the root and  N uptake rate/m of
root.   Increased shoot  demand for  N  does not immediately  affect  N influx into
the root, but N stress  causes an increased influx capability.  Plants develop-
ing throughout their growth  cycle  with N restricted to part of the  root  system
may absorb N more rapidly  through  those localized roots exposed  to  N  than when
N is placed  into the localized  portion of soil after several weeks' growth.


76:03F-024
EFFECTS OF IRRIGATION REGIMES,  PLANTING DATES, NITROGEN LEVELS,  AND ROW  SPACING
ON SAFFLOWER CULTIVARS,
Abel,  G.H.
Agricultural  Research Service,  Phoenix, Arizona.
Agronomy Journal, Vol.  68, No.  3,  p  448-451, May-June 1976.  8 tab, 7 ref.

Descriptors:  Irrigation  effects, *Planting management,  *Nitrogen, *Fertili-
zation, *Crop response, Irrigation efficiency, Crop production,  Arid  lands,
Arizona, Water management  (Applied), Water conservation.

In three experiments on safflower  cultivars over a 3-year period, seed yields
were greater in the  last  two years with crops planted on  December 15  than those
planted February 15.  Plants  in two-row plots produced fewer seeds/head  and
smaller seeds than those  in  one-row plots, but increased  populations  in  the
former group compensated  for  such  deficiencies and the yields  were  comparable.
An irrigation regime  involving  early cut-off conserved water and labor,  reduced
weed growth,  and produced  optimum  seed yields at lower levels  of nitrogen
fertilization.  The best  fertilization levels were from 84 to  336 kg/ha, accord-
ing to the planting date,  irrigation regime, and cultivar.  For  the Laveen clay
loam soil at the test  site (Mesa,  Arizona) , 168 kg/ha was optimum for a  Decem-
ber planting; quantities  exceeding 84 kg/ha had no yield  advantage  with  a Feb-
ruary  planting.  The  "Dart"  cultuvar outyielded all others used, especially
when given the optimum  fertilization and irrigation treatment.


76:03F-025
SOIL WATER UPTAKE BY ALFALFA,
Khol,  R.A.,  and Kolar,  J.J.
Agricultural Research Service,  Kimberly, Idaho, Snake River Conservation
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Research Center.
Agronomy Journal, Vol. 68, No. 3, p 536-538, May-June 1976.  4 fig, 14 ref.

Descriptors:  *Soil water movement, Soil water, *Moisture uptake, *Alfalfa,
*Soil-water-plant relationships, Root zone, Xylem, Soil profiles, Moisture
stress.

Soil water uptake by alfalfa was studied by monitoring a seed crop with a
neutron moisture probe.  Plant water potential measurements support passive
uptake.  Water was withdrawn in the lower root zone, where soil matric potential
tials were between -7 and -10 bars, while the upper portion of the profile was
above -2 bars.  Results indicate that passive water uptake requires large water
potential differences between the root xylem and soil in the moist upper portion
of the profile.  Alfalfa plant moisture potentials decreased through the grow-
ing season, possibly due 'to moisture stress and maturity.  While water is
preferentially taken up from layers where the soil water potential is high, it
continues being withdrawn from layers of lower potential.  Root location
(shallow or deep) does not appear to influence water uptake.


76:03F-026
CORN PLANT WATER STRESS AS INFLUENCED BY CHISELING, IRRIGATION, AND WATER
TABLE DEPTH,
Reicosky, D.C., Campbell, R.B., and Doty, C.W.
Agricultural Research Service, Coastal Plains Soil and Water Conservation
Research Center, Florence, South Carolina.
Agronomy Journal, Vol. 68, No. 3, p 499-503, May-June 1976.  5 fig, 3 tab,
7 ref.

Descriptors:  *Corn  (Field), *Water table, *Soil-water-plant relationships,
Crop production, Soil management, Crop response, *Irrigation effects, Stomata,
Cultivation, Moisture stress, *Chiseling.

Chiseling and irrigation effects on plant water status were evaluated through
leaf water potential, stem diameter and stomatal resistance measurements.  Corn
grown on a Varina sandy loam chiseled to 38 cm was compared with that grown on
conventionally tilled plots.  Chiseling had no effect on daily minimum leaf
water potential the  first year  (1972) and only a slight effect on stomatal
resistance, but irrigating had some beneficial effect.  At tasseling in 1973,
with a water table 80 cm from the surface, chiseling produced deeper-rooted
corn that allowed water utilization in the capillary fringe above the water
table; leaf water potential increased slightly while stomatal resistance and
stem diameter fluctuation decreased.  Plant-water status on chiseled plots was
similar to that on furrow-irrigated plots.  Improved midday plant water status
caused an 8-metric ton/ha increase in corn ear yields.  Results indicate that
chiseling of soils with root restricting layers can increase corn production,
especially when the water table is about 80 cm from the surface tasseling.


76:03F-027
FERTILIZATION, NUTRIENT COMPOSITION, AND YIELD RELATIONSHIPS IN IRRIGATED
SPRING WHEAT,
Gardner, B.R., and Jackson, E.B.
Arizona Agricultural Experiment Station, Department of Soils, Water, Engineer-
ing and Plant Sciences.
Agronomy Journal, Vol. 68, No. 1, p 75-78, January-February 1976.  3 fig,
5 tab, 5 ref.

Descriptors:  *Nitrates, *Fertilization, *Crop response, *Nutrient require-
ments, *Wheat, Arizona, Root zone, Crop production, Testing procedures.
Plant tissues, Phosphates.

The effect of N fertilization on the growth and yield of semidwarf spring
wheat in the Yuma Valley of southwestern Arizona and a tissue test as guide
for applying such fertilizers is presented.  Excessive N used is evaluated, in
two field experiments reduced yields slightly when compared with sufficient N
levels.  Application of 336 kg N/ha produced the best yields, with no further
increase resulting from higher rates.  Yields intermediate between control and
high-yield results were achieved with 112 and 224 kg/ha rates prior to planting;
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similar results at those two rates  suggest much of the N applied preplant  was
leached from the root zone.  N  caused  increases in number of heads/unit  area
and seeds/head, with a.decrease in  the weight of individual seeds   Total  N
content in the grain increased  with larger N applications.   Determination  of
P in the lower portion of wheat stems  was  of doubtful value in determining the
crop's P status.                                                         ^


76:03F-028
IRRIGATION SYSTEMS IN TAIWAN:   MANAGEMENT  OF A DECENTRALIZED PUBLIC  ENTERPRISE
Abel, M.E.                                                                     '
Minnesota University, Department of Agricultural and Applied Economics,  Saint
Paul, Minnesota.
Water Resources Research, Vol.  12,  No. 3,  p 341-343, June 1976.   1 fig,  1  tab,
22 ref.

Descriptors:   Irrigation systems,  *Canals, *Management, Irrigation efficiency
Water resources, Planning,  Operations, Agriculture, Water policy, Engineering,
Agronomy, Legal aspects. Administration,  Rice, Water utilization.

The efficiency of the management of irrigation systems in Taiwan, viewed as
decentralized  public enterprises, depends  on four interrelated factors;   (1)
the recognition that water  is  a scarce factor in agricultural production;  (2)
the legal administrative basis  for centralized planning of irrigation invest-
ments but decentralized management of  irrigation systems; (3) the information
systems which  permit the exchange of agronomic and engineering information
between the  users of water  and  the managers of irrigation systems; and (4) the
use of incentive structures for both the managers of irrigation systems  and the
users of water that appear  to  be compatible with the efficient use of water
within the irrigation system.   Discussed also is the true complexity of  irri-
gation systems and irrigated crop production found in Taiwan today with  which
the management of these  systems must contend.


76:03F-029
WEATHER-DEPENDENT PRICING FOR  WATER RESOURCES IN THE TEXAS HIGH PLAINS,
Lane, M.N.,  and Littlechild, S.C.
International  Bank for Reconstruction  and Development, Washington, D.C.
Water Resources Research, Vol.  12,  No. 4,  p 599-605, August 1976. 4 tab,
9 ref.

Descriptors:   *Irrigation water, *Pricing, *Linear programming, Optimization,
Weather, Reservoirs, Water  supply,  Farms,  Profit, Crops, Constraints, Costs,
Rainfall, Equations, Mathematical models,  Systems analysis.

Two alternative schemes  for pricing irrigation water are examined.   Under  the
 first scheme,  price is independent of  weather; in the second scheme, price
varies with  weather so as to generate  just enough demand to exhaust  reservoir
capacity.  The second scheme provides  savings through the more efficient utili-
 zation of available reservoir  supplies and through the curtailing of demand so
as to allow  the construction of smaller reservoirs.  The analysis proceeds by
means of a linear programming  under uncertainty model of a representative  farm.
The model is applied to  the High Plains of Texas.  Results suggest that  the
weather-dependent pricing scheme would increase farm profits by the  order  of
10% per annum.


 76:03F-030
OPTIMIZATION OF CROP IRRIGATION STRATEGY UNDER A STOCHASTIC WEATHER  REGIME:
A SIMULATION STUDY,
Ahmed, J., van Bavel, C.H.M.,  and Hiler, E.A.
Water Resources Research, Vol.  12,  No. 6,  p 1241-1247, December 1976.  5 fig,
 2 tab, 26 ref.

Descriptors:   *Irrigation efficiency,  *Crop response, *Water utilization,
 *Simulation  analysis, Optimization, Crops, Decision making, Weather, Texas,
Sorghum, Soil, Atmosphere,  Water resources, Management, Agriculture, Computer
models, Equations, Operations  research, Irrigation water, Water policy.
Conservation.
                                              123

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A dynamic simulation model of the soil-water-atmosphere-plant system  is
developed as a tool for irrigation decision making under a stochastic weather
regime and when water supplies are limited.  Crop yield, foliage development,
plant water deficits, and irrigation decisions have been treated as inter-
dependent processes.  Yield susceptibility of the crop to water deficit  is  a
function of crop growth stage.  The stomatal regulation of transpiration by the
crop has been accounted for as well.  The model is a closed loop dynamic system,
in which past irrigation decisions and weather conditions affect the  current as
well as the future response of the crop system, and consequently, the future
irrigation decisions and the overall water use efficiency.  Determined are  the
optimal irrigation timing and quantities; estimated are the associated yields,
the water use efficiencies, and the trade-offs between water conservation and
crop yield.  The crop growth and yield simulation consists of two parts:   (1)
a dynamic crop growth and plant behavior model under stochastic weather  regime
and specific irrigation strategy; and (2) a seasonal crop stress computation
for the simulated crop with associated yield estimates.  The optimization
criteria, water use efficiency, is defined as the ratio of crop yield to total
amount of irrigation water used in its production.  Specific illustration is
given by considering grain sorghum grown under weather conditions typical for
south central Texas.


76:03F-031
POTASSIUM SOURCES AND AVAILABILITY ON A DEEP, SANDY SOIL OF EAST TEXAS,
Hons, F.M., Dixon, J.B., and Matocha, J.E.
Texas A and M University, Department of Soil Mineralogy, College Station,
Texas.
Soil  Science Society of America Journal, Vol. 40, No. 3, p 370-373, May-June
1976.  2 fig, 4 tab, 28 ref.

Descriptors:  *Potassium, Nutrients, Soil properties, Bermuda grass,  Soil
investigations, Soil profiles, Fertilization, Root development.

Soil  properties were assessed that may have contributed to the failure of
Coastal bermudagrass to respond to application of K on Darco fine sand for  5
consecutive years.  The depth to which plant roots absorbed K was assessed  by
field observation and by determination of K levels in control and treatment
plots.  Potassium minerals were determined by chemical methods to assess poten-
tial  nutrient sources.  Potassium removal was indicated to at least 160 cm  by
soil  solution content and to 235 cm by exchangeable K concentration and Gapon
selectivity values.  Depth of bermudagrass rooting was in agreement with chemi-
cal indicators of K removal.


76:03F-032
GASEOUS LOSS OF AMMONIA FROM SULFUR-COATED UREA, AMMONIUM SULFATE, AND UREA
APPLIED TO CALCAREOUS SOIL  (PH 7.3),
Prasad, M.
M.J. Woods and Associates, 13 Kilbarrack Grove, Dublin, 5, Ireland.
Soil  Science Society of America Journal, Vol. 40, No. 1, p 130-134, January-
February 1976.  7 tab, 20 ref.

Descriptors:  Urea, Nitrogen, Temperature, Calcareous soil, Soil moisture,
Ammonia, Nutrients.

Laboratory incubation experiments were conducted to study the comparative
volatilization loss of NH3 in a calcareous soil from sulfur-coated urea  (SCU)
with fast  (F), medium (M), and slow (S)  dissolution rates, ammonium sulfate
(AS) and urea, at two temperatures 22 and 32C, and at three soil moisture
levels 25, 50, and 80% of the water holding capacity of the soil.  The effect
of the addition of organic amendment (filter press mud) to soil on NH3 loss
from these N-sources was also studied.   Loss were studied up to 21 days.  At
both temperatures increasing soil moisture levels led to reduction of NH3 loss
regardless of the N-source, despite the fact that the soil analysis showed
higher dissolution of N from SCU at high soil moisture.
                                             124

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 76:03F-033
 HIGH-FREQUENCY IRRIGATION FOR WATER NUTRIENT MANAGEMENT IN HUMID REGIONS
 Phene,  C.J., and Beale, O.W.                                             '
 United States Department of Agriculture, Coastal Plains Soil and Water
 Conservation Research Center, Southern  Region, Florence, South Carolina
       C«e??e S?CieuY ?! *™*rica Jo^nal, Vol.  40, No.  3, p 430-436, May- June
        o fig, 2 tab, 16 ref.
 Descriptors:  Subsurface irrigation,  Irrigation  systems,  Irrigation, Irrigation
 effects, Nutrients, Humid climates, Humid  areas,  Soil water, Fertilization
 Crop response. Corn, Furrow  irrigation,  Sprinkler irrigation, Leaching.

 A water-nutrient management  method was designed  to prevent plant-water and
 nutrient stresses while maximizing the available soil water storage to accomo-
 date rainfall.  This method  minimized the  need for the  soil as a storage
 reservoir for water and nutrients by  frequently  irrigating a portion of the
 root zone with small amounts of water and  nutrients.  The optimal range of soil
 matric potential, based on soil oxygen diffusion rate,  soil strength, water
 desorption characteristics,  and unsaturated hydraulic conductivity was used
 to determine high-frequency  irrigation criteria  for sweet corn.  Trickle-
 irrigated plots yielded 12 and 14% more  corn than did the furrow-and sprinkler-
 irrigated plots.  When fertilizers were  broadcast and banded, soil N03-N
 profiles measured near the end of the growing season showd that, compared to
 furrow and sprinkler irrigation, trickle irrigation reduced N03-N losses from
 the root zone.


 76:03F-034
 THE EFFECTIVENESS OF A MIST  VERSUS A  LOW PRESSURE SPRINKLER SYSTEM FOR BLOOM
 DELAY,
 Wolfe, J.W., Lombard, P.B.,  and Tabor, M.
 Oregon State University, Southern Oregon Experiment Station, Department of
 Agricultural Engineering, Corvallis,  Oregon.
 Transactions of the American Society  of  Agricultural Engineers, Soil and Water,
 p 510-513, Special Edition 1976.  4 fig, 2 tab,  7 ref.

 Descriptors:  *Orchards, Oregon, Sprinkler irrigation,  Sprinkling, Irrigation
 effects, Irrigation practices, Irrigation.

 This paper deals primarily with tests  made  on a  fogging  or misting system
 installed for bloom delay in a pear orchard at Medford, in comparison with a
 system using small sprinklers.  Conclusions include: 1.  A misting system
 provided greater cooling for bloom delay than a  low-pressure sprinkler system
 when the water application rate was about  3 1/s  ha (19  gpm per acre).  2.  A
 bloom delay, of 11 days was observed in Bartlett  trees and 9 days in Bosc under
 the mist system tested during a  late  season. To obtain more delay during an
 early season would likely require running  the system more hours .  3 .  The mist
. system required only about 60 percent as much water per day of delay as the
 sprinklers did.  4.  A mist-system capacity of  3 1/s ha provided almost as
 many degrees of cooling on a day when the  maximum air temperature was 10. 6C
  (51F) as on a much warmer day, suggesting  that  the cooling efficiency for this
 system had nearly reached its maximum at 10. 6C  (51F) .   5. The mist system is
 easier to install on established hedgerows than  on large trees and appears to
 function at least as well as many permanent overhead sprinkler systems used for
 frost control by encasing the trees in  ice.  7.   More research is needed to
 develop criteria for an economical system  design for mist including determin-
 ing the minimum required system  capacity,  the optimum  (minimum) pressure
 required for adequate breakup of drops,  a  satisfactory  filtration system,
 and the least elaborate layout  for placing the mist uniformly on the trees.



 AN "EVALUATION OF SULFUR-COATED UREA AS A PREPLAN? TOTAL SEASON NITROGEN SUPPLY
 FOR TRELLISED TOMATOES,
 Shelton, J.E.                                                   ,  . .
-North Carolina State University, Department of  Soil Science, Raleigh,

 SoilhSciencenSociety of America  Journal, Vol. 40, No.  1,  P  126-129, January-
                                               125

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February 1976.  2 fig, 2 tab, 5 ref.

Descriptors:  *Urea, Nitrogen, Nutrients, Fertilization, Tomatoes, Crop
response, Sampling, Crop production.

The use of a controlled release N source for the production of trellised
tomatoes which require frequent topdressings would be desirable.  Three sulfur-
coated urea (SCU) materials having release rates of 11.4, 21.5, and 29.3% over
a 7-day period were compared to NH4N03 applied preplant or as multiple appli-
cations.  Nitrogen rates were 392,560 , and 729 kg N/ha.  Marketable yields
from an application of SCU(11.4) at 392 or 560 kg N/ha were greater than with
the same rate of N as NH4N03 either as preplant or split applications.  When
SCU(21.5) or SCU(29.3) was used, the yields were comparable to a single
application of NH4N03.  Differences in fruit number per plot were not signifi-
cantly related to treatments.  However, there was a significant difference in
average fruit weight which was correlated with total yield.  Tissue N content
was highest at the first sampling from a single application of NH4N03 and
lowest from SCU(11.4).  However, at later sampling periods the N content was
maintained at a higher level with SCU(11.4).  Although 729 kg N/ha as a single
application of NH4NO3 detrimentally affected plant growth and production, this
effect was not noted with the sulfur-coated materials.


76:03F-036
INFLUENCE OF ROW SPACING AND STRAW MULCH ON FIRST STAGE DRYING,
Adams, J.E., Arkin, G.F., and Ritchie, J.T.
Agricultural Research Service, United States Department of Agriculture,
Southern Region, Temple, Texas.
Soil Science Society of America Journal, Vol. 40, No. 3, p 436-442, May-June
1976.  10 fig, 2 tab, 14 ref.

Descriptors:  Evaporation, Grain sorghum, Drying, Plant populations, Mulching,
Crop production, Crop response.

Evaporation during first stage drying was measured with evaporation plates on
the soil surface in grain sorghum plots with 25-, 50-, and 100-cm row spacings,
during several stages of grain sorghum development in 1972 and 1973.  Evapor-
ation during first stage drying was affected by row spacing, leaf area index
 (LAI), and  soil shading.  Both LAI and soil shading were related to row spacing
and plant population.  The more complete plant canopy of grain sorghum with
narrow-row  spacing decreased penetration of radiant energy to the soil surface
and reduced the evaporation rate of soil water during first stage drying.
Evaporation was greatest during the early part of the season when shading was
least and lowest during boot stage and pollination, when all leaves were
fully expanded and provided maximum plant canopy and soil shading.  Narrow-
row spacing established an earlier, and more complete plant canopy than conven-
tional 100-cm row spacing and shaded more of the soil surface from early vegeta-
tive growth to maturity-  Soil surafce shaded near solar noon was a better
indicator of first stage evaporation beneath a canopy than LAI.  The combined
effect of a mulched surface and a plant canopy on reducing evaporation was the
product of the fractional reduction in potential mulched surface with no
canopy cover.  An empirical equation was developed from the evaporation data
for use in calculating first stage evaporation as related to potential evapor-
ation, fraction of the soil surface shaded, and mulch rate.


76:03F-037
DEEP PERCOLATION IN A FURROW-IRRIGATED SANDY SOIL,
Linderman, C.L., Mielke, L.N., and Schuman, G.E.
Agricultural Research Service, United States Department of Agriculture,
Department of Agricultural Engineering, Nebraska University, Lincoln,
Nebraska.
Transactions of the American Society of Agricultural Engineers, Soil and Water,
p 250-253, Special Edition 1976.  6 fig, 1 tab, 20 ref.

Descriptors:  *Deep percolation, *Furrow irrigation, Sands, Irrigation,
Irrigation effects, Fertilization.
                                              126

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irrigating sandy soils with  shallow water tables  creates  a  potential  for deep
percolation losses of water  and nitrogen and consequently,  nitrate  pollution
of groundwater   The amount  and nitrate  content of percolate  was measured with
eight vacuum extractors buried below  the root zone in a sandy,  furrow-irrigated
cornfield.  Total irrigation-season percolation was 17.6  cm,  which  was  25 per-
cent of the water leaving the root zone.  The maximum percolation rate  was over
0.37 cm/day when the corn root system was not yet fully developed and when
heavy rainfall followed irrigating.  More frequent irrigations  with smaller
amounts of water should reduce percolation.   Percolation  of nitrate-nitrogen
was 2.5 kg/ha/cm of percolate when N  (67 kg/ha) was applied in  solution in the
irrigation water and 3.0 kg/ha/cm of  percolate when anhydrous ammonia  N  (90 kg/
ha) was sidedressed.  Percolation of  nitrate-nitrogen was affected  more by total
deep percolation of water than by the method of fertilizer  application.


76:03F-038
A WATER SPRINKLER FOR ARBITRARILY SHAPED AREAS,
Burgdorf, 0., and Henderson, J.M.
Westinghouse Electric Corporation, Sunnyvale, California.
Transactions of the American Society  of  Agricultural Engineers, Soil  and Water,
p 704-707, Special Edition  1976.   9 fig, 2 tab, 2 ref.

Descriptors:  Sprinkling, Sprinkler irrigation. Irrigation, Irrigation  systems,
Irrigation practices, Winds, Uniformity  coefficient.

The concept of watering arbitrary areas  from a single moving  nozzle shows
reasonable promise.  The average  28 percent distribution  error  reflects an
acceptable trade-off required  to  gain a  13.72 m (45 ft) range capability with
0.172 HPa (25 psi) water pressure.  This project  has given  visibility to
factors important to the continuation of design of sprinklers for watering
arbitrarily shaped areas:   1. '  trade-off considerations between coherent  flow
 (low range, harsh water impact and high  uniformity); 2.  kinematic  limitations
inherent  in simple devices  which  depend  solely on water pressure for  system
motion and control;  3.  wind influence;  4.  mechanisms for  perimeter  specifi-
cation; and 5.  optimization techniques  which allow synthesis of control mech-
anisms for best available distributions.  The concept offers  potential  for
certain agricultural applications.  For  example,  adjacent square patterns could
prove more cost effective than overlapping rotational systems.  It  is necessary
to  seek alternate designs which keep the nozzle (or nozzles)  at relatively low
elevation angles to minimize wind effects.


76:03F-039
EFFECTIVE PRECIPITATION OF  VARIOUS APPLICATION DEPTHS,
Heermann, D.F., and  Shull,  H.H.
Agricultural Research  Service,  United States Department of  Agriculture,
Department of Agricultural  Engineering,  Fort Collins, Colorado.
Transactions of the American Society of  Agricultural Engineers, Soil  and Water,
p 708-712, Special Edition  1976.   8 fig, 3 tab, 21 ref.

Descriptors:  Lysimeters, Rainfall, Rain, Evapotranspiration, Water require-
ments. Crop production.

Irrigators have always  questioned how effective small rains and light irri-
gations are in meeting  crop water requirements.  Data from  precision  weighing
lysimeters indicated that very small rains offset the normal  water  use  by the
plants and, therefore, very effectively  meet crop water requirements.


 76:03F-040
 CALCULATING EVAPORATION FROM NATIVE GRASSLAND WATERSHEDS,
Ritchie,  J.T.,  Rhoades,  E.D.,  and Richardson, C.W.             Oo-,,i-0
United Stated Department  of Agriculture, Agricultural Research  Service,
Department of Soil  Science, Temple, Texas.          ,,,•-,..,   *™ i  and  water
Transactions of the  American Society of Agricultural Engineers, Soil  and  Water,
p 1098-1103, Special Edition 1976.  5 fig, 1 tab, 17 ret.

Descriptors:  *Evapotranspiration, Evaporation, Grassland,  Computer model, Model
 studies,  Transpiration,  Soil water, Soil moisture.
                                              127

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Evaporation from soil and plant surfaces in many natural grassland sites will
often be less than potential evaporation because of sparse vegetation or soil
water deficits in the root zone.  A computer model developed for calculating
daily evaporation from row crop surfaces with partial cover was modified for use
on native grasslands.  Daily evaporation is computed by adding independently
calculated soil evaporation and transpiration.  Potential evaporation is
calculated from commonly available atmospheric information.  Soil evaporation rate
is related to soil hydraulic properties, mulch cover, and potential evaporation
rate.  Transpiration rate is related to potential evaporation through the green
leaf area index and the soil water status of the root zone.  Daily evaporation
was calculated for three small native grassland watersheds where runoff, rainfall,
and soil water content were measured.  Seasonal changes in soil water content were
calculated based on drainage rates computed from the amount of infiltration in
excess of the upper limit of extractable soil water and calculated evaporation
rates.  Calculated changes were usually within + 5 cm of measured soil water
during a 1-year period.


76:03F-041
MULCH, NITROGEN, AND IRRIGATION EFFECTS ON GROWTH, YIELD, AND NUTRIENT UPTAKE OF
FORAGE CORN,
Khera, K.L., Khera, R., Prihar, S.S., Sandhu, B.S., and Sandhu, K.S.
Punjab Agricultural University, Department of Soils, Ludhiana, India.
Agronomy Journal, Vol. 68, No. 6, p 937-941, November-December 1976.  5 fig,
6 tab, 17 ref.

Descriptors:  Mulching, Nitrogen, Irrigation effects, Crop response. Nutrients,
Temperature, Soil temperature, Crop production, Corn.

Nitrogen, irrigation, and soil-temperature regime are major factors influencing
crop growth.  Hot season crops in tropical areas are reported to benefit from
soil temperature reductions caused by straw mulching.  But how the mulch would
affect the nitrogen and irrigation requirements of the crop is not known.  The
independent and combined effects of two rates of straw mulch, viz., 0 and 6 metric
tone/ha; three rates of nitrogen, viz., 50, 100, and 150 kg N/ha; and three
levels of irrigation, viz., 7.5 cm irrigations based on irrigation water (IW)/pan-
evaporation  (PAN-E) ratios of 0.6, 0.9, and 1.2 on forage corn in a 2-year field
experiment were studied.  Green and dry forage yields and uptake of N and P
significantly increased with mulching and with each successive increment of
nitrogen.  As the IW/PE ratio increased from 0.6 to 0.9, the green and dry forage
yields and nutrient uptake increased significantly, but declined with further
increase in irrigation.  As a 2-year average, mulching increased the dry forage
yield by 11.8 quintals/ha or 26 percent and showed a significant interaction with
nitrogen rates.  Fifty kg and 100 kg N/ha with mulch yielded as much as 100 kg
and 150 kg N/ha without mulch, respectively.  It is indicated that straw mulching
in forage corn during hot and dry season increases yield and nutrient uptake and
helps economize nitrogen.


76:03F-042
GROWTH RATE AND NUTRIENT UPTAKE OF TWO COTTON CULTIVARS GROWN UNDER IRRIGATION,
Halevy, J.
The Volcani Center, Agricultural Research Organization, Bet Daga, Israel.
Agronomy Journal, Vol. 68, No. 5, p 701-705, September-October 1976.  2 fig,
3 tab, 22 ref.

Descriptors:  *Cotton, Irrigation, Irrigation practices. Crop response. Nutrients,
Nitrogen, Phosphorus, Potassium, Semi arid climates.

The production of high cotton yield is highly dependent on adequate growth rate
and nutrient uptake about which relatively little information is available under
semiarid conditions.  Growth rate and N, P, K uptake of two cotton cultivars,
"Ada 1517-C" and "Acala 4-42," which differ in their response to K fertilizer,
were investigated in an irrigated field under favorable conditions conducive to
high yields.  The rate of dry matter production was slow unitl flowering and
after the first bolls opened.  Up to 72 days from emergence, 15 percent of the
total dry matter was produced; from 112 days until picking, 10 percent; and
during the 40-day period to 72 to 112 days, 75 percent.  Throughout this period
the growth rate was nearly linear, 250 kg/ha/day.  Total dry matter was 12,200
                                             128

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to 13,480 kg/ha.  Its distribution  in  mature  plants  was  26  percent  in  the leaves,
24 Percent in stems  16 percent  in  burs,  21 percent  in seeds,  and 13 percent in
lint.  The lint yield was  1,700  kg/ha.  Total uptake of  N,  P,  and K was  230  45
and 174 kg/ha.  The total  uptake of N  and P followed that of dry matter  production,
whereas K was absorbed more rapidly, reaching a  maximum  at  112 days from emergence
and then decreasing.  The  removal of nutrients from  the  field  by seed  and lint was
98 to 109 kg N/ha, 19 to 21 kg P/ha, and  43 to 47  kg K/ha.


76:03F-043
REDUCING TAILWATER RUNOFF  FOR EFFICIENT IRRIGATION WATER USE,
Schneider, A.D., New, L.L., and  Musick, J.T.
United States Department of Agriculture,  Southwestern Great Plains  Research Center
Department of Agricultural Engineering, Bushland,  Texas.                          '
Transactions of the American Society of Agricultural Engineers, Soil and Water
p 1093-1097, Special Edition 1976.   4  fig, 3  tab,  8  ref.

Descriptors:  *Tailwater return  flow,  Irrigation,  Irrigation practices.  Furrow
irrigation. Surface irrigation,  Grain  sorghum. Crop  production, Crop response.

Tailwater runoff from 570-m graded  furrows was varied from  0 to 8 hr to  determine
the variability of grain sorghum yield with length of run.  During  the first 3 to
4 hours, cumulative infiltration into  the Pullman  clay loam is 5 to 7  cm.
Infiltration into the slowly permeable soil then approaches the steady-state rate
of less than 0.25 cm/hr.   Continuing to irrigate after the  entire furrow reached
the  steady-state infiltration rate  did not significantly increase the  field
average yield.  The root zone at the tail end of the field  was not  fully wetted,
but  the soil water was  sufficient for  normal  plant growth,  and tailwater runoff
was  less than 10 percent of the  applied water.  As a result, the irrigation water-
use  efficiency varied inversely  as  the duration  of tailwater runoff.   By reducing
the  duration of tailwater  runoff, additional  land  could  be  irrigated with the
limited groundwater supply.


76:03F-044
AN ASPHALT  INCORPORATOR AND PACKER FOR LINING IRRIGATION DITCHES,
McLaughlin, N.B., Dyck, F.B., and Sommerfeldt, T.G.
Agriculture Canada, Research Station,  Research Branch, Swift Current,
Saskatchewan, Canada.
Transactions of the American Society cf Agricultural Engineers, Soil and Water,
p 1085-1088, Special Edition  1976.   7  fig, 1  ref.

Descriptors:  *Channel  improvement, *Asphalt, *Linings,  Irrigation, Irrigation
systems. Ditches.

In laboratory experiments, an asphalt  emulsion mixed with soil has  shown promise
of being a  suitable lining material for irrigation ditches. Prototype machinery
developed for lining a  field  lateral with the mixture in order that it may be
evaluated under field conditions is duscussed.  The  incorporator is a  large
rototiller  with a double-cone rotor whose longitudinal section conforms  to the
ditch cross section.  The  rototilling  action mixes asphalt  with the upper 8 cm
of soil in  the ditch profile.   The packer is  a large double-con roller with a
longitudinal section that  also  conforms to the ditch cross  section. Operation
of the two machines in  the field is discussed.


76:03F-045
AGRICULTURAL DRAINAGE WATER AS  A BASIS FOR WILDLIFE  DEVELOPMENT IN  THE SAN JOAQUIN
VALLEY OF CALIFORNIA,
Dickey, G.L., Rivera, R.A., Hewes,  B.J-,  and Sussman, M.W.
United States Department of Agriculture,  Soil Conservation  Service, Department
of Civil Engineering, Davis, California.
Transactions of the American Society of Agricultural Engineers, Soil and Water,
p 862-865,  Special Edition 1976.  3 fig,  3 tab,  15 ref.

Descriptors:  *Drainage, *Drainage water, *Marshes,  Drainage effects,  California,
Return flow. Wildlife habitat,  Wildlife management.
                                               129

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Important marshland habitat in California is estimated at 1.94 million ha  (4.8
million acres) with State and Federal ownership totaling about 93,555 ha  (231,000
acres).  Some of the habitat area has a partial water supply, some a full  supply,
but much of it has very little water.  Agricultural drainage could provide a  full
water supply for up to 127,170 ha (314,000 acres) of wildlife habitat by the  year
2000.  The impact of such usage would be greatly beneficial both to wildlife
habitat development and to irrigated cropland.  Agricultural drainage can  provide
a firm water supply for wildlife and the wildlife use will allow the development
of on-farm drainage systems to maintain land productivity.  Further, such  a short-
term plan would be easily adaptable and in fact complementary to a long term  plan
for a master drainage system to be implemented at a later date.


76:03F-046
EFFECT OF P, CA, AND MG CONCENTRATIONS IN SOLUTION CULTURE ON GROWTH AND UPTAKE
OF THESE IONS BY RICE,
Fageria, N.K.
National Research Center for Rice and Beans, Caiza Postal 179, Goiania-Goias,
Brazil.
Agronomy Journal, Vol. 68, No. 5, p 726-732, September-October 1976.  5 fig,
3 tab, 28 ref.

Descriptors:  Fertilization, Fertilizer, Nutrients, Phosphorus, Calcium,
Magnesium, Rice, Crop response, Crop production.

Nutrient requirements during various phases of plant growth are affected by many
factors.  Greater knowledge of this subject is warranted by the intensification
of agriculture.  The present study was undertaken to determine the effect  of
varying concentrations of P, Ca, and Mg on the growth and uptake patterns  of
these ions by rice.  Rice plants were grown in culture solution of these ions.
Minimum concentrations required for maximum growth were 25 microM P, 250 microM
Ca,  and 33 microM Mg, respectively.  At higher P concentrations a linear
absorption isotherm was obtained with respect to P content in the plant tissue.
The  critical concentration of P in the tops of 100-day old plants was 0.4  percent.
To support maximum growth, Ca content varied from 242 to 2,373 micro g-atoms/five
plants for 25 to 125 days of growth.  Maximum growth was characterized by  a
relative absorption  (I(M)) rate ranging from 14 to 320 micro g-atoms of Ca/g dry
weight of roots/day during the period of cultivation.  To support maximum  growth,
plants must absorb 13.7, 7.7, 4.3, 4.0, and 2.4 micro g of magnesium per g fresh
weight of roots/hour at 25, 50, 75, and 100, and 125 days of growth, respectively.
With the advancement of age, P and Ca content in plants and their utilization
quotients were increased but relative growth rate and rate of Ca and Mg
absorption decreased.


76:03F-047
IRRIGATION CONTROL USING TENSIOMETERS AND SALINITY SENSORS,
Oster, J.D., Willardson, L.S., van Schilfgaarde, J., and Goertzen, J.O.
Agricultural Research Service, United States Department of Agriculture,
Department of Soil Science, Riverside, California.
Transactions of the American Society of Agricultural Engineers, Soil and Water,
p 294-298, Special Edition 1976.  5 fig, 1 tab, 24 ref.

Descriptors:  Irrigation practices. Irrigation, Leaching, Tensiometers,
Lysimeters, Evapotranspiration, Root systems.

Pressurized, high-frequency irrigation systems can be controlled to provide a
nearly constant prescribed leaching fraction by use of salt sensors and
tensiometers in combination as a dual feedback system.  A lysimeter experiment
evaluated the optimum depth of sensor placement and provided experience for the
appropriate selection of control settings, both of which are strongly dependent
on root water uptake distribution.


76:03F-048
TRAVELING GUN APPLICATION UNIFORMITY IN HIGH WINDS,
Shull, H., and Dylla, A.S.
Agricultural Research Service, United States Department of Agriculture, North
Central Region,  Department of Agricultural Engineering, Morris, Minnesota.
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Field tests of a traveling gun  sprinkler  irrigation system showed  that  increases
in wind yleocity must be accompanied by decreases in travel lane spacing  if an
acceptable water application uniformity is to be maintained.   Travel  lane spacing
must be decreased further as the wind direction and travel direction  become more
nearly parallel.  An empirical  equation is presented to estimate lane spacing as
a function of wind velocity and direction, and sprinkler water pressure,  for the
sprinkler tested.  If travel lane spacings recommended  for no-wind conditions
are used, the water distribution pattern  during winds will become  uneven,  if
recommended lane spacing reductions for windy conditions are  followed,  the
application pattern during winds may be acceptable under some wind directions-
however, if winds are nearly parallel to  the travel direction the  application
pattern will be poor.  Also, if the narrower spacings recommended  for winds are
used, the application pattern may be poor if the wind velocity decreases.
Spacings from 30 to 75 percent  of the wetted diameter gave acceptable uniformity
with no wind.


76:03F-049
ANATOMICAL RESPONSE OF POTATO STEMS AND ROOTS TO SOIL MOISTURE AND RATES  OF
FERTILIZER,
Singh, G., and Struchtemeyer, R.A.
Maine University, Department of Soils, Orono, Maine, 04473.
Agronomy Journal, Vol. 68, No".  5, p 732-735, September-October 1976.  4 tab,
14 ref.

Descriptors:  Soil moisture, Soil water,  Fertilizer, Fertilization, Nutrients,
Potato, Nitrogen, Moisture stress, Root development, Xylem.

This study was conducted to determine the effect of three moisture regimes and
three rates of fertilizer on the anatomy  of stems and roots of the "Katahdin"
cultivar of potato.  A Caribou  loam (coarse loamy, mixed frigid Dystric
Eutrochrept) was used in a greenhouse experiment.  The  soil was placed  in pots.
Fertilizer at rates of 0, 168,  and 336 kg N/ha, in a 10-15-15 mixture,  was used.
Soil moisture stresses equivalent to 30,  50, and 70 percent depeletions of
available moisture were allowed to develop.  The data showed  that  the area of
the xylem in the stems decreased as soil  moisture stress increased.   The  highest
rate of fertilizer reduced the  area of the xylem, but increased the diamter of
the individual vessels.  In the roots the area of xylem and phloem decreased
while the area of cortex increased with an increase to  soil moisture  stress in
the 75-day experiment.  The area of xylem tended to increase  while the  cortical
tissue tended to decrease with  increases  in the rate of fertilization.


76:03F-050
NEMATICIDE APPLICATION THROUGH  POROUS SUBSURFACE IRRIGATION TUBING,
Chesness, J.L., Dryden, J.R., and Brady,  U.E. Jr.
Georgia University, Department  of Agricultural Engineering, Athens, Georgia.
Transactions of the American Society of Agricultural Engineers, Soil  and  Water,
p 105-107, Special Edition 1976.  6 fig,  5 ref.

Descriptors:  *Nematocides, *Nematodes, Subsurface irrigation, Irrigation prac-
-tices, Irrigation systems.

The low translocation characteristics of  Nemacur would  not make it suitable for
field application through a porous tube applicator.  Vydate however,  does offer
some definite possibilities for field application through a porous tube appli-
cator.  Nematode populations are generally the highest  in the surface or  upper
soil region.  A lethal Vydate concentration (according  to its manufacturer) is
5 ppm.  This minimal concentration in the Vydate test was attained as far out as
60 cm horizontally  (from the applicator)  at a 23 cm fP^-.^^h multiple later
als on a 120 cm spacing the overlap effect in the water dist"bution  pattern
should provide a 5 ppm or greater Vydate  concentration  in a maDor  portion of the
                                            .131

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soil profile.  The above "field application inference"  is  just  that;  an  inference
based on laboratory tests.  The affects upon the nematicide distribution patterns
of higher initial soil water contents and reduced initial  concentrations must be
field evaluated before the inference label can be removed.


76:03F-051

SUBSURFACE AND FURROW IRRIGATION EVALUATION FOR BEAN PRODUCTION,
Sepaskhah, A.R., Sichani, S.A., and Bahrani, B.
Pahlavi University, College of Agriculture, Irrigation  Department, Shiraz,  Iran
Transactions of the American Society of Agricultural Engineers, Soil  and Water,
p 1089-1092, Special Edition, 1976. 4 fig, 3 tab, 19 ref.

Descriptors:  *Subsurface irrigation, *Furrow irrigation,  Irrigation, Irrigation
practices, Beans, Crop production, Water conservation.

The water use efficiency, yields of beans and economic  feasibility of furrow  and
subsurface irrigation systems were compared in field experiments.  Subsurface
irrigation required 55 percent less water to produce a  yield of beans comparable
to that obtained with furrow irrigation.  Water use efficiencies of 81.9  and
37.5 kg of beans per cm of water were obtained for the  treatments irrigated with
subsurface and furrow irrigation systems, respectively.  Spacing for  subsurface
irrigation laterals was obtained from a laboratory experiment and was 84  percent
of the theoretical spacing.  If the usable life of the  porous pipe can be extended
to 3 years,  the price of the subsurface system could be comparable to that of the
furrow irrigation  system when water cost is $0.0135/cu  m.



76:03F-052
EVAPOTRANSPIRATION AND WATER USE EFFICIENCY BY SOYBEAN  LINES DIFFERING IN GROWTH
HABIT
Singh, B.P., and Whitson, E.N.
Fort Valley  State College, Division of Agriculture,  Fort Valley, Georgia.
Agronomy Journal, Vol. 68, No. 5, p 834-835, September-October 1976.   2  fig, 4 ref.

Descriptors:  *Soybeans, Evapotranspiration, Crop response, Canopy, Eddies, Crop
production,  Water vapor, Air circulation.

Determinate  and indeterminate soybeans differ in canopy morphology due to a dif-
ference in their growth habits.  Canopy morphology may  affect receipt and loss of
radiation, air circulation, and eddy turbulence.  These factors may in turn influ-
ence heat and water vapor transfer, thereby possibly influencing plant water use.
The objective of this study was to determine the effects of soybean growth habits
on evapotranspiration and water use efficiency.  The daily evapotranspiration rate
for both lines was maximum at the early reproductive stage.  Water extraction by
both lines extended to a 122-cm soil depth, the lowest depth measured.  The total
evapotranspiration by the determinate line was 41.2  cm  as compared to 39.2 cm for
the indeterminate line.  The difference in growth habits amounted to only a small
fraction of  the total evapotranspiration.  The determinate line produced  24.9 per-
cent more grain than the indeterminate line by utilizing only 5.6 percent more
water.  This accounted for an 18.1 percent greater water use efficiency of the
determinate  line.  These values suggest that growth habits affect water use effic-
iency primarily by controlling grain yield.


76.-03F-053
EVALUATION OF SLOW-RELEASE NITROGEN FERTILIZERS ON PENNPAR CREEPING BENTGRASS,.
Waddington,  D.V., and Duich, J.M.
Pensylvania  State University, Department of Agronomy, University, Park,  Penn-
sylvania, 16802.
Agronomy Journal, Vol. 68, No. 5, p812-815, September-October 1976. 3 fig, 2 tab,
11 ref.

Descriptors:  Fertilization, Nutrients, Turf grasses. Nitrogen, Urea, Crop pro-
duction,  Turf,  Kentucky Blue Grass.
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As new fertilizer materials  become available for turfara
relative merits  should  be  evaluated under various fiel
recommendations  can be  made  concerning their"™  Intudonennpar
creeping bentgrass single  applications of four slow-release N fertilizers and
multiple applications of urea applied to fine, mixed, mesic Typic Hapludalf soil
were compared  for four  consecutive growing seasons.   Split applications of slow
release materials were  also  included in the fourth season?  Clipping ylelL and"
turf color were  used to evaluate response to fertilization.  Growth^patterns
varied from year to year,  but certain relationships between treatments generally
remained the same: 1) greatest initial response occurred with isobutylidene di-
urea; 2) yields  from slow-release treatments equalled or exceeded those from the
urea treatment for 13 to 14  weeks, thereafter urea gave higher yields; 3)  response
from sulfur-coated urea and  resin-coated fertilizer was intermediate between and
ureaform.  Split applications of slow-release sources reduced the flush of spring
growth and increased turf  color in the fall when single spring applications were
used.  The delay in response noted after isobutylidene diurea applications on
Kentucky bluegrass in other  experiments was not as apparent under the conditions
of this study, possibly due  to the incorporation of fertilizer by aerating and
topdressing at the time of application and more liberal watering on the bentgrass
area.


76:03F-054
RELATIONSHIP BETWEEN POTATO  YIELD AND OXYGEN DIFFUSION RATE OF SUBSOIL,
Saini, G.R.
Agriculture Canada, Research Station, Fredericton, New Brunswick, Canada E3B 4Z7
Agronomy Journal, Vol.  68, No. 5, p 823-825, September-October 1976. 1 fig, 1 tab,
24 ref.

Descriptors:   Potatoes, Crop response, Crop production, Soil physical properties,
Soil compaction, Organic matter, Soil properties, Soil moisture, Field capacity.

Numerous studies in the past have been made of the effects of soil compaction on
patato yield by  deliberately packing the soil in small experimental plots.  Since
information obtainable  from  such experiments has limited value in the economic
assessment of  crop production of an area, a study was conducted on 10 different
farmer's fields  to find out  which soil physical property  (or a combination of
properties) may  best define  the prevailing productive capacity of a soil for
potatoes.  Various soil properties  (stones, sand, silt, clay, bulk density, pene-
trometer readings, and  organic matter) were measured according to the methods
given by Black (1965)  at  a depth of 20 to 28 cm  (8 to 11 inches) where the com-
pact soles usually occur.   Oxygen diffusion rate, however, was determined at a
moisture content of  field  capacity by the platinum microelectrode method (Lemon
and  Erickson,  1952) using  a  rate meter manufactured by Jensen Instruments, Tacoma,
Washington.  Stepwise multiple regression analysis of potato yields of cultivar
 'Netted Gem' and the  soil  properties indicated that oxygen diffusion rate of sub-
 soil was one single  factor which highly correlated with marketable yield (r =
+0.82).  The correlation  coefficient was significant at the 1% level of probabil-
 ity.  Further  addition  of  other properties did not improve the r value signifi-
cantly.  The study indicates the oxygen diffusion rate of subsoil is useful
criteria to diagnose  the  prevailing physical condition of the soil which in turn,
could be related to  the relative productive capacity of soil for potato production
 in New Brunswick, Canada.


 76:03F-055
 STOMATAL RESPONSE TO LEAF  WATER POTENTIAL AS AFFECTED BY PRECONDITIONING WATER
 STRESS  IN THE  FIELD
Thomas, J.C.,  Brown, K.W., and Jordan, W.R.                                 .
Texas A and M  University,  Department of Soil and Crop Sciences, College Station,
Tsx3S   V 7 R 4 ^
Agronomy Journal, Vol.  68, No. 5, p 706-708, September-October 1976.  4 fig, 13
 ref.

 Descriptors:   Grain  sorghum, Cotton, Crop response, Moisture stress  Stomata
Crop production. Irrigation, Irrigation Effects, Irrigation practices, Soil water.

Previous research has  shown  that stomatal response to decreasing soil water poten-
tial of chamber-grown  sorghum'and cotton posure  to previous water stress.  This
                                             133

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work was undertaken to determine if stomatal response of  field-grown  plants is
also altered by previous water stress.  Stoneville  213 cotton was  grown in the
field under movable rainshelters and was subjected  to three  treatments:   control —
well watered, one period of water stress, and two periods of water stress.   After
this preconditioning period, all plants underwent a final stress during which
stomatal response to leaf water potential was measured.   The periods  of precon-
ditioning water stress were characterized by decreased cumulative  growth as meas-
ured by leaf area per plant.  Leaf areas for the control, one soil water stress
plant, and two soil water stress plants were 5,200,  2,200, and  1,200  sq cm, respec-
tively.  Lower stomates of preconditioned field-grown plants remained open to lower
leaf water potentials  (-28 to -30 bars) during the  final  stress than  those of
plants which were not preconditioned  (-22 bars).  These results were  similar
to those found previously on chamber-grown plants which had been exposed to
more frequent but shorter stresses.   The six to eight bar adjustment  in  leaf
water potential versus stomatal resistance as a result of previous water
stress indicates a need for caution in interpreting data from plants of unknown
water stress history.


76:03F-056
SULFUR AND NITROGEN REQUIREMENTS OF SUGARCANE,
Fox, R.L.
Hawaii University.- Department of Agronomy and Soil  Science,  Honolulu,  Hawaii
Agronomy Journal, Vol. 68, No. 6, p 891-896, November-December  1976.   9  fig,  3  tab,
25 ref.

Descriptors: Sugarcane, Nitrogen, Sulfur, Nutrients, Fertilizers,  Fertilization

The  internal S requirement of sugarcane is not well defined  and there are  no  pub-
lished data on the external S01-S requirements.  The objectives of this  study were
to provide data on sulfur distribution and N:S ratios in  sugarcane.   Sugarcane
was  grown in solution cultures and in potted soil material which provided  several
concentrations and ratios of N03 and SOI in solution.  External S  and N  require-
ments were estimated from plots of yield vs. S04 or N03 concentrations in  solution
cultures and in artificial soil solutions.  The external  S requirements  at  age  35
days was about 9 ppm.  After 70 days the requirement was  about  5 ppm  when  N was
adequately supplied.  The external S requirement for early growth  was 0.36% S in
the  whole plant and  0.24% for leaf blades 3 through 6.  When plants were 70 days
old, 0.10% S in leaf blades or 0.08% S in leaf sheaths was sufficient.   Sulfur-
deficient, field-grown sugarcane 18 months old contained  0.075% S  in  leaves 3
through 6 and 0.072% S in the corresponding leaf sheaths.  Sulfur  fertilized  sugar-
cane contained 0.138% and 0.232% for the same tissues.  Ratios  N:S differed for
various tissues of the same plant.  Distribution of S in  the plant may be  a valu-
able tool for assessing the S status of sugarcane.  When  S is deficient, old  leaf
blades contain more S than-corresponding leaf sheaths, and blades  and sheaths of
leaves 3 to 6 contain about equal concentrations of S.  Good S  nutrition was
associated with an elevated concentration of S in leaf sheaths  as  compared  with
leaf blades.


76:03F-057
NITRIFICATION INHIBITOR WITH FALL-APPLIED VS. SPLIT NITROGEN APPLICATIONS  FOR
WINTER WHEAT,
Boswell, F.C., Nelson, L.R., and Bitzer, M.J.
Georgia University, Agricultural Experiment Station, Department of Agronomy,
Georgia Station, Experiment, Georgia 30212
Agronomy Journal, Vol. 68, No. 5, p 7370740, September-October  1976.   1  fig,  5  tab,
11 ref.

Descriptors:  Nitrification, Nutrients, Fertilization, Nitrogen, Crop response,
Crop production, Wheat, Georgia, Soil analysis

Since numerous small grain producers desire to make fall  application  of  efficient
levels of N for maximum yields, studies are needed  to determine the efficiency  of
fall-applied N (with and without an inhibitor) vs.  split  N applications.   Field
studies were conducted at two locations each year over a  3-year period with the
objective of evaluating the response of wheat to N  rates, time  of  application,
and  effect of a nitrification inhibitor on soils of different characteristics.


                                      134

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                                                                        soil    (->
                                                                      ,
topdressed in the spring, was  superior toapplyingll tnelTifti^ra
inclusion of the nitrification inhibitor,  2-chloro-6- (trichloromethyl
(N-Serve), with ammonium sulfate in the fall at the rate of 84  ka/hl A, A
influence yields or N  levels in the tissue or grain   The LnibitS hfd nn   ff
on elements other than N.   Although the nitrification Inhibitor influenced  the
retention of the NH4(-)N in the soil until the January sampling,  this retention
7£%n?h T   ?• ^ *     *  !0±i ^ thS MarCh samPlin9-   Therefore,  we concluded
S L5S L ?SX? if'3  ^ °f ^e complete fertilizer at the  ra^e of  28 or even
84 kg/ha in the fall is  inadequate for maximum wheat yield in either the coastal
plain or piedmont regions of Georgia.   A nitrification inhibitor  applied with the
ammonium sulfate was ineffective in preventing nitrification of the ammonium nitro-
gen or to increase yields.


76:03F-058
INFLUENCE OF NITROGEN, NARROW  ROWS, AND PLANT POPULATION ON COTTON  YIELD AND
GROWTH
Koli, S.E., and Morrill, L.G.
Crops Research Institute, Department of Agronomy,  P.O.  Box 3785,  Kumasi, Ghana
Agronomy Journal, Vol. 68,  No. 6, p 897-901, November-December  1976. 3 fig,  8 tab
18 ref.

Descriptors:  Cotton,  Crop  response. Fertilization, Fertilizers,  Nitrogen,  Plant
population, Crop production

Narrow row planting of cotton  has the potential for improving yield and production
efficiency.  Fertilizer  needs  and other production technology for narrow row cot-
ton have received little attention, especially the nitrogen (N) requirement.  The
objective of this study  was to ascertain if N fertilizer, narrow row, and high
population, has any effect  on  growth and yield of dryland cotton.  The  relation-
ship between petiole NO(-)3(-)N at various stages of development and yields was
also investigated.  Row spacing  (25, 51, and 76-cm) , plant populations  (123,550
and 173,000 plants/ha),  and N  rate  (0, 45, and 90 kg/ha) variables  were placed
in a factorial arrangement  of  a randomized, complete block design with  four repli-
cations.  Low N treatments  (45 kg/ha)  produced no significant change in yield,
but higher N rates reduced  yield significantly.  The 25 and 51-cm row spacings
produced significantly higher  yield than 76-cm rows.  The range of  plant popula-
tions used did not materially  affect yield, but there was a significantly N-popu-
lation interaction.  Narrow rows reduced plant height.  NO(-)3(-)N  levels in pet-
ioles increased with increased N rate, being highest at the square  stage of plant
growth and decreasing  sharply  at the flower and boll stages.  There was no  signif-
icant correlation between petiole NO(-)3(-)N and yield.  Narrow row cotton  can
result in higher yield and  is  especially of interest where the  length of growing
season is not optimum.


76:03F-059
OPTIMUM CONTROL OF  IRRIGATION  WATER APPLICATION,
Fogel, M.M. , Duckstein,  L. , and Kisiel, C.C.
Arizona University, Department of Watershed Management, Tucson, Arizona
Journal of Hydrology,  Vol.  28, No. 2/4, p 343-358, February 1976.  4 fig, 17 ref.
OWRT B-032-ARIZ(26)

Descriptors:  *Irrigation water, *Management, *Mathematical models, *Decision
making, Optimization, Farms,  Soil water, Hydrologic aspects, Stochastic process,
Water costs. Methodology, Equations, Systems analysis, Forecasting.

Managing farm irrigation systems involves the choice of method, time, and quantity
of irrigation water application.  This paper focuses on the problem of  continuous
or periodic review of  the factors that affect crop production  (i.e. , climate),
that is, making decisions based on relatively short-term predictions.  Finding
the optimal irrigation policy is examined using a new approach based on the idea
that an analogy exists between a business that stocks physical goods and a  farm
irrigation syltem in which  the soil is a reservoir that ^ores water for future
use fay the plant.  The demand  on this reservoir may be either J^™1"*" °*
stochastic.  It is  shown that inventory models can be adapted to the
involving the efficient operation of such farm irrigation systems.
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76:03F-060
APPLICATION OF A TWO-VARIABLE MITSCHERLICH FUNCTION IN THE ANALYSIS OF  YIELD-WATER-
FERTILIZER RELATIONSHIPS FOR CORN
Hexem, R.W., Sposito, V.A., and Heady, E.O.
Iowa State University, Center for Agricultural and Rural Development, Ames,  Iowa
50010
Water Resources Research, Vol. 12, No. 1, p 6-10, February 1976. 4 fig,  3 tab,
6 ref.

Descriptors:  Model studies. Fertilizers, Fertilization, Corn, Colorado, Kansas,
Simulation analysis, Crop response, Nutrients, Crop production.

Variations of models developed by E.A. Mitscherlich in the early part of this
century are periodically used for estimating input-output relationships  for  plants.
Mitscherlich's work focused on a single variable.  While these exponential models
incorporate features of theoretical appeal, the procedures for quantifying the
models are relatively complex when two or more independent variables are included.
In fits of Mitscherlich and polynomical forms to yield-water-fertilizer data for
corn grown under experimental conditions in Colorado and Kansas, test statistics
for the polynomial forms are as good as or better than those for the more complex
Mitscherlich models.


76:03F-061
COMPARISON OF MODIFIED MONTMORILLONITE TO SALTS AND CHELATES AS CARRIER FOR  MICRO-
NUTRIENTS FOR PLANTS: II. SUPPLY OF IRON
Navrot, J. and Banin, A.
The Hebrew University, Department of Soil and Water Sciences, Rehovot, Israel
Agronomy Journal, Vol. 68, No. 2, p 358-361, March-April 1976. 2 fig, 5 tab, 7 ref.

Descriptors:  Iron, Nutrients, Fertilizers, Fertilization, Copper, Zinc, Manganese,
Clays, Tomatoes, Beans, Crop response.

Symptoms of iron deficiency appear very frequently in the calcareous soils which
represent a major part of the agricultural soils of Israel; therefore a search
for novel carriers of iron is constantly conducted.  Previous studies showed that
Cu, Zn, and Mn, attached to modified montmorillonite, can effectively replace salts
and chelates as carriers for micronutrient elements for plants.  In this research,
the effect of iron attached to montmorillonite clay on element uptake and yield
of plants was compared to that of commonly used iron sulphate or EDTA and EDDHA
chelates.  In the greenhouse, beans were grown in two calcareous, iron deficient
soils and were treated with either FeS049 Fe(+3)-EDTA, Fe(+3)-EDDHA, or Fe(+2)
bound to montmorillonite clay-  The rates of iron added varied from 15 to 60 mg
Fe/kg soil for the salt and 3 to 12 mg Fe/kg soil for the chelates and the clay
forms.  It was found that Fd(+2)-clay and Fe(+3) in chelates, added at equivalent
rates, supplied iron in comparable amounts; FeS049 added at the conventional rates
which are five to ten times higher than that added as clay- and chelate-bound iron,
caused similar or lower uptake and yields.  Moreover, the slow release of iron
from Fe-clay, even when supplied in high rates, prevented excessive iron uptake
which otherwise, as in the case of the chelate FeEDDHA, interferred with
plant development.  It is suggested that iron attached to montmorillonite
clay can be used as an efficient source of iron for plants grown in calcarous
soils.


76:03F-062
COMPARISON OF MODIFIED MONTMORILLONITE TO SALTS AND CHELATES AS CARRIER FOR
MICRONUTRIENTS FOR PLANTS: I.  SUPPLY OF COPPER, ZINC, AND MANGANESE
Banin, A., and Navrot, J.
The Hebrew University, Department of Soil and Water Sciences, Rehovot, Israel
Agronomy Journal, Vol. 68, No. 2, p 353-358, March-April 1976.  4 fig, 7 tab,
16 ref.

Descriptors:  Nutrients, Fertilizers, Fertilization, Copper, Zinc, Manganese,
Clays, Tomatoes, Beans, Crop response

The purpose of the study was to compare the effectiveness of a novel micronutrient
fertilizer, modified montmorillonite clay, to the conventionally used salts  and
                                             136

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chelates as carriers of micronutrients to plants.   Three elements — Cu  Zn  and
Mn --in combination in various'rates, and in three forms? as sulphates!  EDTA
chelates  or attached  to montmorillonite clay,  where applied to two micronutrient
deficient sandy soils..  Tomato and beans were grown under controlled greenhouse
conditions in the treated  soils.   The application  of micronutrient element?  in
all of the forms used,  significantly increased plant yields.  In addition,  the
supply of micronutrients  significantly increased the elemental concentrations of
the plants.  However the  highest concentration of  elements found in the plants
did not always correspond to the highest yields.  Generally the lower levels  of
addition of combined micronutrients improved the growth conditions considerably
and the higher ones were  less effective.  The clay carrier was similar to the
expensive chelates and generally more efficient than the salts in element supply
and this resulted  in better yield responses.  The  optimal rate of application
of the combined elements  for dry yield production  in tomato plants in the
soils studied appeared to  be:  0.5 me Cu, 1.6 mg Zn, and 2.5 mg Mn per kg
of soil for the clay and  chelate forms and somewhat higher for the salts!


76:03F-063
LAND FORMING SYSTEMS TO IMPROVE WATER USE EFFICIENCY
Koelliker, J.K.
Kansas State University,  Department of Agricultural Engineering, Manhattan, Kansas
Kansas Water Resources Research Institute, Manhattan, KWRRI Contribution No.  184,
70 p, November  1976.   14  fig, 11 tab, 44 ref, 3 append. OWRT A-068-KAN(2) ,  14-31-
0001-5016.

Descriptors:   *Land  forming, *Terracing, *Soil moisture, *Kansas, *Water utiliza-
tion, Groundwater  recharge, Rainfall, Recharge, Wheat, Grain sorghum, Fallowing,
Model studies,  Demonstration watersheds, Crop production, Watershed management,
Monitoring, Agricultural watersheds. Potential water supply.

Two years  of operation of conservation bench terraces and level pans at Garden
City, Kansas conclusive as to determining increased water use efficienty for  crop
production.  Precipitation in both years was well below normal and little surface
runoff occurred.   Measurements of precipitation, watershed runoff and soil moisture
 in the top 2.3  m were  monitored and used to calibrate a soil moisture budget  sim-
ulation model  for  western Kansas.  The model was calibrated with one year's data
 from  a fallow  watershed.   Predicted total soil moisture content in the 2.1m  soil
profile averaged within 2.4 percent of actual field values.  The model was then
used  to estimate the potential for ground water recharge from conservation bench
terraces  over  the  period 1945-1974.


 76:03F-064
 NITROGEN  NUTRITION AND YIELD OF SUGARCANE AS AFFECTED BY N-SERVE
 Prasad, M.
 M.J.  Weeds and Associates, 13 Kilbarrack Grove, Dublin 5, Ireland
Agronomy  Journal,  Vol. 68, No. 2, 343-346, March-April 1976.  4 fig, 3 tab, 13 ref.

 Descriptors:   Sugarcane,  Fertilizers, Fertilization, Nitrogen, Irrigation effects,
 Irrigation practices,  Nitrification,  Nutrients.

 Very  few  experiments have been conducted to evaluate N-Serve formulated with  N-
 fertilizer for sugarcane.  N-Serve when  formulated  with N-fertilizer increased
 sugarcane yields in the Philippines and  in Louisiana but failed to do so in
 Puerto Rico  and in Mauritius.  In view of the relatively few experiments conducted
 with  N-Serve  for sugarcane and the conflicting  nature of the results, a pot exper
 iment in  drums and a field experiment were conducted to study the effect of N-
 Serve formulated with solid  ammonium  sulfate  (AS)  on sugarcane  ( HJ 5741 )  yield,
 leaf  N content,  tillering, and on soil N.  In the pot experiment two soils, a
 clayey  loam and a  loamy sand were used combined with a high and low irrigation
 treatment.   There  were two rates of AS with and without N-Serve.  A control
 treatment was  also included.  N-Serve was applied at 2.5% of the weight of AS.
 In the  field  experiment on a  sandy clay  there were  three rates of AS with and
 without N-Serve.   A control  treatment was also  included.  N-Serve was applied
 at a  flat rate of  24 liter/ha.
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76:03F-065
NON-UNIFORM INFILTRATION UNDER POTATO CANOPIES CAUSED BY INTERCEPTION,  STEMFLOW,
AND HILLING,
Saffigna, P.G., Tanner, C.B., and Keeney, D.R.
Wisconsin University, Department of Soil Science, Madison, Wisconsin  53706
Agronomy Journal, Vol. 68, No. 2, p 337-342, March-April 1976.  4  fig,  2  tab,
38 ref.

Descriptors:  Sprinkler irrigation, Irrigation practices, Irrigation effects,
Infiltration, Potatoes, Leaching, Soil water, Deep percolation, Model studies.

It is generally assumed that infiltration of sprinkler irrigation  and rainfall
under potato is uniform.  However we observed non-uniform infiltration  beneath
the hills of sprinkler-irrigated potatoes grown on Plainfield loamy sand  (Typic
Udipsamment; sandy, mixed, mesic).  The objective of this field study was to
determine the effects of foliage interception and hilling on non-uniform  infil-
tration, since concentrating water in local zones would increase deep drainage
and nitrogen leaching.  To do this we traced the rainfall and irrigation  infil-
tration pattern with Rhodamine WT dye and collected the stemflow in stem  collars.
Throughfall of rainfall, the soil water content, and soil water tension also were
measured.  From 20 to 46% of the irrigation and from 4 to 23% of the rainfall on
the canopy flowed down the stems.  Stemflow increased the soil water content
around the stems and moved Rhodamine dye deep beneath the soil surface.   Deep
movement of dye beneath the furrows was caused by runoff from the  hills and by
leaf drip from the outer foliage.  The results obtained suggest that irrigation
and fertilizer management could be improved by taking this non-uniform  infiltra-
tion pattern into account.  Smaller irrigations should improve water use  effic-
iency and minimize nitrate leaching.  Further, evaluation of solute movement
by soil  sampling should consider the spatial variation introduced  by the non-
uniform  infiltration.  Finally, predictive leaching models should  account for
non-uniform infiltration.


76:03F-066
EFFECT OF INCREASING FOLIAGE AND SOIL REFLECTIVITY ON THE YIELD AND WATER USE
EFFICIENCY OF GRAIN SORGHUM,
Stanhill, G., Moreshet, S., and Fuchs, M.
The Volcani Center, Division of Agricultural Meteorology, Bet Dagan, Israel
Agronomy Journal, Vol. 68, No. 2, p 329-332, March-April 1976.  1  fig,  3 tab,
5 ref.

Descriptors:  Grain sorghum, Crop production. Crop response, Water use  efficiency.

The effect of increasing foliage and soil reflectivity on yield and water use
efficiency of grain sorghum crops grown under arid conditions with stored soil
water only, was studied during 3 years of randomized block field experiments.
Suspensions  of kaolin were sprayed on the soil and/or foliage at  different growth
stages to select the most effective placement and timing for the treatment.  Soil-
only applications were ineffective in increasing yields but canopy sprays resulted
in an additional yield of 446 kg/ha, or 11% over the unsprayed controls,  averaged
over the 3 years of experimentation.  The most effective period for foliage sprays
started  seven weeks after seedling emergence and ended 10 days later, immediately
before the panicles emerged.  During this period, known to be critical  for sorghum
grain yield response to water status, the yield response averaged  2 kg  grain/1 kg
kaolin applied.  Neither the total seasonal water use nor the rate of soil water
depletion was affected by the foliage reflectance treatment.  It is concluded
that under arid conditions, kaolin suspensions sprayed twice on the foliage of
unirrigated grain sorghum crops during the prepanicle-emergency stage shows
promise as an effective method of increasing grain yield.
76:03F-067
GROWTH AND MINERAL COMPOSITION OF RICE AT VARIOUS SOIL MOISTURE TENSIONS AND
OXYGEN LEVELS,
Patrick, W.H. Jr., and Fontenot, W.J.
Louisiana State University, Louisiana Agricultural Experiment Station, Department
of Agronomy, Baton Rouge, Louisiana 70803.
                                            138

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Agronomy Journal, Vol.  68,  No.  2,  p 325-329,  March-April 1976.  8 fig,  16 ref.

                                           r"'POMe' ^"*°i-ure,  Soil water,
T^ bf*e£ f °^h  °f/iCe in a "°°aea soil as compared to an upland soil  has  been
attributed to the  reducing conditions caused by submergence.   No study has been
carried out, however,  in whieh the effects of the soil moisture status has been
separated from the effect of the oxidation-reduction conditions on early growth
and mineral composition of lowland rice was determined by growing plants in
artificially packed soil columns maintained under different soil moisture  tension
and oxygen conditions.   Since soil aeration is largely governed by the moisture
status of the soil,  this study was designed to separate these effects by subject-
ing the rice plant to different aeration conditions while at the same time attempt-
ing not to limit moisture supply.  In one experiment different redox conditions
were established by maintaining soil columns at soil moisture tensions ranging
from 0 to 80 cm during growth of the plants.  In a second experiment plants were
grown at soil oxygen levels of 0, 3, 8, and 12% while soil moisture was maintained
at 10 cm moisture  tension.  Vegetative growth of rice was greater under reduced
conditions than under oxidized conditions in both experiments.  The P concentra-
tion of the plant  was much higher under reduced conditions than under oxidized
conditions.  Reduced conditions increased the solubility of P, Fe, and Mn  in the
soil although no consistent effect of reducing conditions on plant uptake  of Fe
and Mn was observed.


76:03F-068
WATER TRANSPORT IN WHEAT PLANTS IN THE FIELD,
Denmead, O.T., and Millar, B.D.
Commonwealth Scientific and Industrial Research Organization Division of Environ-
mental Mechanics,  P.O. Box 821, Canberra City, Australian Capital Territory,
Australia
Agronomy Journal,  Vol. 68, No. 2, p 297-303, March-April 1976.  5 fig, 5 tab,  27
ref.

Descriptors:  Wheat, Transpiration, Evapotranspiration, Water vapor,- Model studies.

Most previous  studies of water transport in crops have been based on simplified
models of plant anatomy and canopy transpiration.  Usually changes in the  water
potential of a, particular leaf have been related to the water loss from the whole
canopy.  We present a more detailed analysis of plant water transport which accounts
for the  spatial distribution of water flows and transpiration losses throughout
the canopy, and use it to estimate flow resistances in different segments  of the
pathway.  Micrometeorological measurements of the flux densities of water  vapor
in the canopy were used to infer water fluxes through roots, stem sections, leaves,
and ears of wheat  plants in the field.  Simultaneous measurements of soil  and
leaf-water potentials permitted calculation of flow resistances in roots,  stems,
and leaves.  The  study shows clearly how the water loss from one part of the
canopy influences  the development of water potentials in other parts and points
up the difficulties of simplified transport models.


76:03F-069
NUTRIENT UPTAKE BY CORN AND GRAIN SORGHUM SILAGE AS AFFECTED BY SOIL TYPE, PLANT-
ING DATE, AND MOISTURE REGIME,
Fribourg, H.A. , Bryan, W.E., Lessman, G.M., and Manning, D.M.
Tennessee University, Department of Plant and Soil Science, Knoxville, Tennessee

Agronomy Journal,  Vol. 68, No. 2, p 260-263, March-April 1976.  4 tab, 6 ref.

Descriptors:  Corn, Grain sorghum, Soil moisture, Soil water, Tennessee, Nutrients,
Nitrogen, Phosphorus, Potassium, Calcium, Manganese, Fertilizers.
 Few data have been published on whole-plant nutrient removal by silage crops as
 influenced by soil types and species.  In order to quant ^ ^tx^ rera °\f ***.
 corn and grain sorghuS silage crops, early  (30 April-15 May) and late (2-12 June)
 plantings of 'Funk G-4831' corn and  'AKS 614' sorghum were grown in 1969 in 34
 environments on 12 soil types, two soils at each of six locations in Tennessee.
                                              139

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Non-irrigated plots of the two plantings were grown on all soils, and irrigated
plots were added to five of the soils.  The corn was harvested for silage when 80
to 90% of the kernels were dented, and grain sorghum when the oldest seeds were
in the soft dough stage.  Tissue samples were collected and analyzed for N,  P,
K, Ca, and Mg.  Total seasonal uptake was calculated by multiplying percent  com-
position of each element by dry matter yield/ha.  Corn silage yields ranged  from
about 6 to 28 metric tons/ha, and sorghum silage yields ranged from about 7  to
18 metric tons/ha.  Nutrient uptake generally increased linearly with yield.
Mean total uptake of N, P, K, Ca, and Mg were, for corn silage, 192, 28, 144, 39,
and 37 kg/ha; and, for grain sorghum silage, 169, 26, 143, 40, and 35 kg/ha,
respectively-


76:03F-070
ESTIMATING EVAPORATION AND TRANSPIRATION FROM A ROW CROP DURING INCOMPLETE COVER,
Tanner, C.B. and Jury, W.A.
California University, Department of Soil Science and Agricultural Engineering,
Riverside, California
Agronomy Journal, Vol. 68, No. 2, p 239-243, March-April 1976.  2 fig, 2 tab,
25 ref.

Descriptors:  Model studies, Evapotranspiration, Evaporation, Transpiration,
Potatoes, Lysimeters, Crop response. Crop production.

In order to model the evapotranspiration (ET) from a crop with incomplete cover,
the evaporation  (E) is estimated separately from the transpiration (T) since E
and T usually do not vary proportionately-  Our objective was to develop and test
an ET model based on the  'potential1 E and T estimates that are consistent with
the potential ET estimate.  When E is less than the potential E (the falling rate
phase), it is estimated by two approaches based on E falling as the square root
of T; however, the model assumes transpiration is at the 'potential'  rate.  ET
estimates during cover development of potato for 2 years were compared with lysim-
eter measurements.  The standard error of estimate varied from 0.40 to 0.94 mm/day
depending on the method for estimating E.   The estimate of cumulative ET for 4
weeks varied from the lysimeter a maximum of 1 cm in 9.7 cm ET.


76:03F-071
YIELDS AND SUGAR CONTENT OF SUGARBEETS AS AFFECTED BY DEFICIT  HIGH-FREQUENCY
IRRIGATION,
Miller, D.E., and Aarstad, J.S.
United States Department of Agriculture, Department of Soil Science,  Prosser,
Washington 99350
Agronomy Journal, Vol. 68, No. 2, p 231-234, March-April 1976.  2 fig, 5 tab,
7 ref.

Descriptors:  Sprinkler irrigation, Sugar beets, Crop response, Crop production,
Evapotranspiration, Irrigation effects, Irrigation practices. Irrigation engin-
eering, Irrigation systems.

Installation and operating costs of irrigation systems are related to system capac-
ity and amount of water applied.  If sprinkler systems can be designed for less
than usual peak evapotranspiration rates,  initial costs will be less.  If less
water is applied, operating expenses will decrease.  Previous work indicated
that sugarbeets can be grown satisfactorily under high-frequency deficit irriga-
tion  (daily or more often at rates less than evapotranspiration)  with soil water
supplying part of the irrigation deficit.   A field study was conducted, using
solid-set sprinklers, with the objective of determining the minimum amount of
irrigation water that must be applied during peak use periods to avoid reduction
in sugar yields.  Treatments involved irrigation each morning at rates equivalent
to various proportions of evaporation the previous day from a Class A Weather
Bureau pan.  The soil indicates that with soils with adequate available waterhold-
ing capacity and crops that will tolerate deficit high-frequency irrigation,
systems can be designed for less capacity and total water application may be'
reduced.   Soil water will be used to reduce the irrigation deficit.
                                            140

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76:03F-072
SALINITY EFFECTS ON NITROGEN  USE  BY WHEAT CULTIVAR SONORA
Jadav, K.L., Wallinhan, E.F.,  Sharpless,  R.G.,  and Printy'  w L
Soil Testing Laboratories,  Gujarat State, Junagadh,  India   '  '
Agronomy Journal, Vol.  68,  No.  2, p 222-226,  March-April 1976.   3  fig,  4  tab,


Descriptors:  Nitrogen, Fertilizers, Fertilization,  Nutrients, wheat,  Salinitv
Saline soil, Crop production,  Crop response.                                 " '

The importance of N nutrition to  fulfilling the high production  potential of some
semidwarf wheat cultivars  under irrigation culture raises problems of  balance
between N and salinity.   Inasmuch as growth may be limited in salt affected soils
thereby reducing total  N  requirement, the usual rates of fertilizer application   '
may be excessive and  thus  contribute to the salinity problem.  This study with
"Sonora 64' wheat was done to measure the effects of salinity and  stand density
on plant growth and grain  yield,  to estimate N uptake in relation  to salinity and
the stage of plant development, and to evaluate leaf-N as a basis  for  diagnosing
the N status of the plant.


76:03F-073
LONG-TERM RESIDUAL FERTILITY  AND CURRENT N-P-K APPLICATION EFFECTS ON  SOYBEANS,
Boswell, F.C., and Anderson,  O.E.
Georgia University, College of Agricultural Experiment Stations, Georgia  Station,
Experiment, Georgia 30212
Agronomy Journal, Vol.  68, No.  2, p 315-318, March-April 1976.  2  fig,  6  tab,
19 ref.

Descriptors:  Soybeans, Fertilizers, Fertilization,  Nitrogen, Phosphorus, Potas-
sium, Legumes, Crop response, Crop production.

Soybean yield response  to currently applied fertilizers, especially N,  has been
erratic while responses to residual P and K have been more consistent.  This study
was conducted to determine if residual N-P-K fertilizers applied over  a period
of years to other non-leguminous crops would influence soybean fertilizer require-
ments.  Soybeans were planted on a Rarden si soil where plots has  received the
same  rates  of P and K for 13  years.  Previous N levels were 56 or  112  kg/ha,
depending on the crop.   Since legumes had not grown on the area  for at least 16
years,  significant responses  to 56 kg/ha of N occurred each year at the high level
of P  and K.  A greater  yield  response occurred from the P application  than from K.
The fertilizer times  year interaction effects on yield was greatest for P as
compared to N or K interactions when fitted to a regression model  equation.  The
highest rates of N-P-K resulted in significantly larger soybean  seed,  better qual-
ity  (seed index),  and higher  crude protein content than low N-P-K  rates or control
plots.  Crude protein was inversely related to total oil content.   Even though
relatively  high  levels  of P and K were applied to certain plots  for 16 years and
crop  residues remained  on the soil surface each year, high levels  of extractable
 (double acid) P or K  were not found in the soil.


76:03f-074
RELATIONSHIP BETWEEN  NITROGEN ANALYSIS OF SOYBEAN TISSUES AND SOYBEAN  YIELDS,
Pal,  U.R. and Saxena, M.C.
Kentucky University,  Department of Agronomy, Lexington, Kentucky 40506
Agronomy Journal, Vol.  68, No. 6, p 927-932, -November, December  1976.   4  fig,
2 tab,  12 ref.

Descriptors:  Nitrogen, Nutrients, Soybeans, Crop response, Fertilization.

In order to determine the applicability of N analysis of plant tissues as a diag-
nostic  tool for N nutrition,  it is essential to study the N status of  soybean
plants  under varying  N supply.  Field experiments were conducted to determine  the
effect  of N fertilization at the rates of 0, 25, 50, 100, and 200   and 300 dif-
ferent  plant parts of nodulating  (inoculated and uninoculated) and non-nodulating
isolines of 'Clark1 and 'Harosoy' soybeans at various stages of  growth and to
correlate the N status  of soybean plants with yields.
                                              141

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76:03F-075
LEAF CONDUCTANCE RESPONSE TO HUMIDITY AND WATER TRANSPORT IN PLANTS,
Hall,  A.E. and Hoffman, G.J.
California University, Department of Plant Sciences, Riverside, California  92502
Agronomy Journal, Vol. 68, No. 6, p 876-881, November-December 1976.  6  fig,  23
ref.

Descriptors:  Stomata, Humidity, Leaves, Photosynthesis, Transpiration,  Vapor
pressure.

Stomatal response to humidity is a potentially important adaptive characteristic.
The possibility that stomata may respond to humidity independently of changes  in
bulk leaf water status was tested.  Also the basis for reported differences in
leaf water potential response to transpiration was investigated.  Simultaneous
measurements of in situ leaf water potential, transpiration, and net photosynthesis
were made in controlled environments using sunflower and pinto bean.  Responses
of leaf conductance and leaf water potential to changes in ambient humidity and
root medium water potential were determined.


76:03F-076
EFFECT OF SOIL MOISTURE TENSION AND AMENDMENTS ON YIELDS AND ON HERBAGE  N, P,
AND S CONCENTRATIONS OF ALFALFA,
Canada Department of Agriculture, Research Station, Melfort, Saskatchewan, Canada
SOE 1AO
Agronomy Journal, Vol. 68, No. 5, p 741-744, September-October 1976.  5  tab, 9 ref.

Descriptors:  Alfalfa, Soil types, Nutrients, Soil moisture. Soil water. Soil
texture, Crop response, Nitrogen, Phosphorus, Sulfur, Barley, Farm wastes.

Low protein concentration has been observed in alfalfa herbage grown in  Gray Wooded
Luvisol  soils, particularly in cool, wet years.  Nutrient deficiencies of N, P,
and S also occur on these soils.  The objectives of this experiment were to deter-
mine how  soil moisture and soil type interact with amendments to increase yield
and change N, P, and S concentrations in alfalfa herbage grown in the greenhouse.
Three Gray Wooded Luvisols, Typic Cryoboralf (Arborfield clay, Garrick clay loam,
Mollic Cryoboralf, and Waitville loam)  and one Dark Gray Luvisol soil (Nipawin
sandy clay loam) times two soil moisture tensions  (100 and 151 millibars) were
main treatments.  Amendments of cattle manure,  sedge peat, and wheat straw were
applied on subplots at 2.5% of soil weight.  Additional subplots of a control and
ammonium nitrate were added.  Yield of alfalfa was significantly related to mois-
ture use.  Moisture use by alfalfa was higher with cattle manure incorporated in
the heavier textured Garrick clay loam and Arborfield clay soils than for other
amendments or soil types.  The manure treatment applied to Garrick clay  loam and
Arborfield clay soils under low soil moisture tension produced the highest herbage
yields.


76:03F-077
YIELD AND NITROGEN UTILIZATION BY RICE AS AFFECTED BY METHOD AND TIME OF APPLI-
CATION OF LABELLED NITROGEN,
Reddy, K.R. and Patrick, W.H. Jr.
Louisiana State University.- Louisiana Agricultural Experiment Station, Department
of Agronomy, Baton Rouge, Louisiana 70803
Agronomy Journal, Vol. 68, p 965-969, November-December 1976.  1 fig, 6  tab, 20
ref.

Descriptors:  Nitrogen, Fertilization,  Nutrients, Fertilizers, Rice, Crop response.

Recent increases in the cost of N fertilizer make it important to examine methods
or improving the utilization of fertilizer N by lowland rice.  The objective of
the present investigations was to compare the effects of different methods and
times of N application on yield and utilization of N by lowland rice.  Field
experiments using labelled fertilizer N were carried out during 1974 and 1975
utilizing different times and methods of application of ammonium sulfate on small
field plots.  Fertilizer N was applied either by deep placement at the beginning
of the season or at one or more times during the growing season as surface appli-
cation.   Relative contributions of native soil N and fertilizer N sources to plant
                                            142

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uptake were followed during  the growing season, and total uptake of native soil
N and fertilizer N by  rice was determined at harvest.                native soil


76:03F-078

SCHS™NG CENTER PIV°T  SPRINKLER IRRIGATION SYSTEMS FOR CORN PRODUCTION IN EASTERN
COLORADO r
Heermann, D.F., Raise, H.R.,  and Mickelson, R.H.
Agricultural Research  Service, United States Department of Agriculture,  Department
of Agricultural Engineering,  Fort Collins, Colorado 80521
Transactions of the American Society of Agricultural Engineers,  Soil and Water
p 284-287, Special Edition  1976.  6 fig, 1 tab, 2 ref.                    water,

Descriptors:  Scheduling,  Irrigation systems. Sprinkler irrigation, Irrigation,
Corn, Colorado, Soil moisture, Crop production.

The United States Department of Agriculture Irrigation Scheduling Program was modi-
fied to probide multiple irrigation forecast dates for use with center pivot sprink-
ler irrigation systems.  Four Eastern Colorado cooperators used the program and
developed confidence  in  the  computer output mailed to them weekly.  Each cooperator
used the information  slightly differently.  Some cooperators started the irrigation
system at the earliest recommended date, whereas others started their systems
between the  'start'  and  'no later than' date.  The two dates provided (a) the
 'start' date when the  soil  water depletion was equal to the irrigation depth, and
 (b) the  'no  later than'  date when the system must be started so as not to deplete
50 percent of the available soil water at any location in the field.  The cooper-
ator who participated  for 3  years reported that his yields had definitely increases
due to the scheduling  program.  Thus, the scheduling program certainly can be
beneficial to center pivot irrigation by increasing yields and conserving energy,
water and fertilizer (in the deep percolation).


76:03F-079
SOIL WATER DEPLETION—YIELD RELATIONSHIPS OF IRRIGATED SORGHUM, WHEAT, AND SOYBEANS
Musick, J.T., New,  L.L., and Dusek, D.A.
United States Department of Agriculture, Southwestern Great Plains Research Center,
Department of Agricultural Engineering, Bushland, Texas
Transactions of  the  American Society of Agricultural Engineers, Soil and Water,
p 489-493, Special  Edition 1976.  4 fig, 11 ref.

 Descriptors:  Soil  water, Soil moisture. Irrigation, Irrigation effects, Grain
 sorghum, Wheat,  Soybeans, Irrigation practices.

Approximately 4  billion  cu m of groundwater is pumped annually to irrigate sorghum.
wheat and soybeans  grown in the fine-textured soils of the Southern High Plains.
 Declining groundwater storage and the high costs of pumping necessitate  that water
 be applied only  when it  is needed to prevent appreciable yield reductions.  Rela-
 tionships between  soil water depletion and grain yields provide a rational basis
 for scheduling  irrigations based on soil water in the major root zone.
 76:03F-080
 COMPARISON OF SIMULATED AND MEASURED NITROGEN ACCUMULATION IN BURLEY TOBACCO,
 Zartman,  R.E., Phillips, R.E., and Leggett, J.E.
 Texas Technical University, Department of Agronomy, Lubbock, Texas 79409
 Agronomy  Journal, Vol. 68, No. 2, p 406-410, March-April 1976-  4 tab, 13 ref.

 Descriptors:   Fertilizers, Fertilization, Nitrogen, Tobacco, Nutrients, Simulation
 analysis,  Model studies, Root development.

 Efficient utilization of N fertilizers by plants is important for scientific,  eco-
 nomic, and environmental reasons.  The objectives of this experiment were  1
 to experimentally evaluate the simultaneous mass flow and diffusion of N03(-)N to
 tobacco roots and (2) to compare the calculated accumulation of N in tobacco,  the
 root of which was assumed to be a perfect sink for N03(-)N  (Model I), or flux of
 N03(-)N into  the root which was assumed to be proportional to concentration of
 N03(-)N at the root surface (Model II), to measured accumulation of N in Burley
                                              143

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toi acco grown under field conditions.  Model I overestimated accumulation of N an
average of 52%.  Model II underestimated accumulation an average of  26%.   The pro-
portionality constant, k, assumed by Model II, was found to be  4.27  times 10,to the
minus 7th power sq cm sec-1 throughout the growing season, except when moderate
plant water stress was experienced by the plant.  The data show that the  accumula-
tion of N by Hurley tobacco was proportional to the concentration of N03(-)N in
the soil solution.


76-.03F-081
SPRINKLER APPLICATION OF P AND ZN FERTILIZERS,
Hergert, G.W. and Reuss, J.O.
I-iebraska University - North Platte Station, Department of Agronomy,  North Platte,
Nebraska
Agronomy Journal, Vol. 68, No. 1, p 5-8, January-February 1976.  2 fig, 7 tab,
9 ref.

Descriptors:  Phosphorus, Zinc, Fertilizers, Fertilization, Nutrients, Sprinkler
irrigation, Irrigation practices, Irrigation water, Corn.

The rapid development of sprinkler irrigation in the Great Plains has stimulated
interest in applying fertilizers in sprinkler irrigation water.  Sprinkler appli-
cation and conventional preplant application effects of P and Zn fertilizers on
the dry matter yield, nutrient content, and grain yield of corn were compared  in
1968 and 1969.  Both years preplant P treatments produced a significantly higher
dry matter yield during the first 5 weeks of the growing season.  No significant
difference existed between P treatments after this time.  In 1969 plants  which
received preplant P and Zn contained slightly higher concentrations  of P  and Zn
than the plants which received sprinkler P and Zn.  Grain yields were significantly
increased by Zn application in 1968 but not in 1969.   In 1968 on a Nunn clay loam
soil the sprinkler-applied P did not move below a 4-5 cm depth.  On  a Haxtun loamy
sand in 1969 sprinkler-applied P moved to a depth of approximately 18 cm.  Sprink-
ler-applied Zn moved to a maximum depth of 5 cm on both soils.
76:03F-082
CORN GROWTH AS AFFECTED BY AMMONIUM VS. NITRATE ABSORBED FROM SOIL,
Dibb, D.W. and Welch, L.F.
Potash Institute, Department of Agronomy, 91 Pecos Avenue, Route 1, Columbia,
Missouri 65201
Agronomy Journal, Vol. 68, No. 1, p 89-93, January-February 1976.  1 fig, 8 tab,
14 ref.

Descriptors:  Ammonium, Nitrate, Corn, Crop response. Leaching, Denitrification,
Greenhouse experiments, Absorption.

The effect of NH4 on corn growth in a soil medium is of interest because of the
possibility of significantly decreasing leaching and denitrification losses of
applied N by preserving N in the NH4 form.  The objective of this investigation
was to determine growth and nutrient content of corn plants when the principal
form of N was either NH4 or N03.  Corn, grown in the greenhouse in a soil medium,
was allowed to absorb N as either NH4 or NO3.  A chemical nitrification inhibitor
and different sources of added N were used to manipulate the form of N available
for absorption.  The maximum amount of N absorbed as NO3 was estimated as the
difference between the N03 content of fallow and cropped pots at harvest.  Plants
estimated to have absorbed at least 95% of their N as NH4.
76:03F-083
SUGARBEET YIELD AND QUALITY AS AFFECTED BY NITROGEN LEVEL,
Carter, J.N., Westermann, D.T., and Jensen, M.E.
Snake River Conservation Research Center, Department of Soil Science, Kimberly,
Idaho 83341
Agronomy Journal, Vol. 68, No. 1, p 49-55, January-February 1976.  5 fig, 4 tab,
15 ref.
                                             144

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                    ****' Nltr°gen'  Nut™ts,  Fertilizers,  Fertilization, Crop
           nN                K          climatic and s°il  conditions,  to determine
the effect of N level on sugarbeet yield and quality and to further  develop and
refine both soil and tissue  test  methods for predicting N  fertilizer needs for
efficient refined sucrose  production.   Previous studies indicate  that  N fertilizer
needs for maximum sucrose  production may be predicted by considering yield poten-
tial and all N sources.  Sugarbeets were grown under field conditions  at N fertil-
izer levels varying from - to  448 kg n/ha on six sites throughout southern Idaho
to determine root yield, sucrose  percentages, sucrose yield,  impurity  index  and
                                             ,               ,     ury  nex  an
plant N uptake in relation  to  the residual  N03(-)N,  mineralizable  N, fertilizer N
and petiole N03(-)N.  These experiments demonstrated that the  N fertilizer needs
of sugarbeets can be determined  by relating the root yield potential to the measur
residual N03(-)N plus a measured or estimated  mineralizable N  level for an area.
Optimum N level from all  available soil and fertilizer sources has been found to
vary between 5 to 6 kg/metric  ton of beet roots produced.
76:03F-084
IRRIGATION SCHEDULES  FOR SUGARBEETS ON MEDIUM AND COARSE TEXTURED SOILS  IN THE
NORTHERN GREAT PLAINS,
Cassel, O.K. and  Bauer,  A.
North Carolina State  University,  Department of Soil Science,  North Carolina
Agronomy Journal,  Vol.  68,  No.  1, p 45-48,  January-February 1976.  1  fig, 3  tab,
5 ref.

Descriptors:  Sugar beets,  Soils, Soil investigations, Soil water, Soil  moisture,
Irrigation,  Irrigation water,  Tensiometers, North Dakota.

An  increase  in the access to irrigation water in the Northern Great Plains is
effecting large increases in the acreages of soils being irrigated.  Much of this
water is being applied to medium to coarse-textured soils which hold  a maximum
of  7 to 12 cm of  available water in a 152 cm deep profile.  An investigation was
conducted in the  field to devise a system,  using tensiometers, to schedule the
application  of irrigation water to sugarbeets growing on these soils. Tensiometers
were installed at various soil depths, and irrigation water was applied  with a
small plot irrigator  when soil moisture tension reached a predetermined  level.
One tensiometer located at the 45 cm depth was equally effective in scheduling
as  two tensiometers,  one positioned at a depth of 30 and one at 61 cm.  Maximum
crude sugar  yields of 8.4 to 8.8 metric tons/ha were obtained in 1971 and 1973,
respectively.  Total  water use efficiency was 0.15 to 0.16 metric tons of crude
sugar/ha per cm.   The maximum irrigation water use efficiencies were  0.32 and 0.36
for 1971 and 1973, respectively.   It is concluded that 56 to 62 cm of water,
well distributed  throughout the growing season, is sufficient for sugarbeet  pro-
duction in southeastern North Dakota in a year of normal growing season  temper-
atures.


76:03F-085
NITROGEN RELEASE  FROM ISOBUTYLIDENE DIUREA: SOIL pH AND FERTILIZER PARTICLE  SIZE
EFFECTS,
Hughs, T.D.
Illinois University,  Department of Horticulture, Urbana, Illinois 61801
Agronomy Journal, Vol. 68, No.  1, p 103-106, January-February 1976.  6 fig,  6 ref.

Descriptors:  Nitrogen, Nutrients, Fertilizers, Fertilization, Soil moisture,
Soil properties,  Soil investigations, Urea, Nitrification.

Soil-isobutylidene diurea (IBDU)  mixtures were incubated to determine the effects
of  soil pH and IBDU particle size on N release patterns.  Such information is
needed for predicting rates and frequencies of application.  All incubations were
conducted at a temperature of 21 ± 0.5 C and 28 ± 2% soil moisture   Evidence was
obtained for excluding nura-N concentrations from Calculations of N recovery,
thus all recoveries were based on concentrations of(NH(+)4 + NO(-)3)(-)N.  Nitro
gen release  patterns  from 0.7 to 0.8 mm IBDU particles in soil at initial pHs
of  5.7, 6.8, and  7.7  were determined.  After four weeks of incubation, the  amount
                                             145

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of N released was equivalent to one-third of the IBDU-N for soil at pH  5.7,  how-
ever, lesser amounts were released in soil at pH's 6.8 and 7.7.  Differences in
N release were due to differences in NH(+)4(-)N concentrations, whereas concen-
trations of NO(-)3(-)N were not related to soil pH throughout the 10-week  incu-
bation period.


76:03F-086
NUTRIENT UPTAKE BY RUSSET BURBANK POTATOES AS INFLUENCED BY FERTILIZATION,
Jackson, T.L. and Carter, G.E.
Oregon State University, Department of Soil Science, Oregon Agricultural Experi-
ment Station, Corvallis, Oregon 97331
Agronomy Journal, Vol. 68, No. 1, p 9-12, January-February 1976.  5 tab, 11  ref.

Descriptors:  Nutrients, Fertilizers, Fertilization, Potatoes, Zinc, Manganese,
Oregon.

Zinc  and Mn deficiencies have been observed frequently in potatoes grown on
eastern Oregon soils developed under arid conditions.  The study was designed to
evaluate effects of band and broadcast applications of ammonium sulfate (AS) and
monocalcium phosphate  (MCP) on yield and uptake of P, Zn, and Mn by Russet Burbank
potatoes grown on calcareous mineral soil deficient in N, P, Zn, and Mn.  Potatoes
were grown under field conditions, harvested and evluated.  Fertilizer  treatments
were broadcast before planting and rototilled or banded at planting.  Petiole
samples to identify nutrient concentrations were taken when tubers were 2 cm in
diameter.  Whole plants were harvested 3 weeks later to measure nutrient uptake.
Petiole concentrations and plant uptake of both Zn and Mn were greater  when  AS
was banded than when broadcast, with or without band applications of Zn and  Mn.


 76:03F-087
 RESPONSES OF  THREE PEANUT  CULTIVARS TO GYPSUM,
Walker, M.E., Keisling, T.C., and Dresler, J.S.
Coastal Plain Experiment Station, Department of Agronomy, Tifton, Georgia.
Agronomy Journal, Vol. 68, No. 3, p 527-528, May-June 1976.  2 tab, 12  ref.

Descriptors:  Calcium, Gypsum, Crop response, Soil investigations, Nitrogen.

The differential response of peanut cultivars to soil applications of Ca has been
established for many years.  Recent research reports, however, have indicated that
peanut cultivars respond similarly to Ca application.  This may result  in part
from new peanut cultivars differing in their response to Ca.  Experiments were
therefore conducted on a low Ca soil to measure responses of three commonly  grown
peanut cultivars to soil-applied Ca.  Results from this experiment show that gyp-
sum had no effect on yield or sound mature kernels of Florunner peanuts.  Florun-
ner peanuts produced higher yields and grades than Florigiant or NC-Fla 14,
regardless of treatments.  Gypsum application to Florigiant and NC-Fla  14 peanuts
increased yields, sound mature kernels, and extra large kernels.  In general,
gypsum increased the % oil in all cultivars.  Florigiant contained less oil  than
the other cultivars.  Nitrogen content of the seed of all cultivars was reduced
by gypsum application.  These data indicate that on low Ca soils Florunner peanuts
can produce higher yields and quality with or without gypsum, while Florigiant
and NC-Fla 14 need gypsum fertilization to increase yield and improve quality.
76:03F-088
NITROGEN AVAILABILITY TO WHEAT AS AFFECTED BY DEPTH OF NITROGEN PLACEMENT,
Daigger, L.A. and Sander, D.H.
Nebraska University, Department of Agronomy, Panhandle Station, Scottsbluff,
Nebraska
Agronomy Journal, Vol. 68, No. 3, p 524-526, May-June 1976.  4 fig, 10 ref.

Discriptors:  Nitrogen, Wheat, Fertilization, Fertilizers, Crop production,
Nebraska, Soil moisture.
                                            14fi

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The availability of residual  N in the root zone greatly influences the amount of
N fertilizer required  to  optimize winter wheat yields!  In order to detains the
availability of N at different depths in the root zone, and N placement ™udy was
conducted in the field on two soils in western Nebraska, a deep alluvial fine
sandy loam and a loess-derived silt loam.   Ammonium nitrate was placed on the
soil surface and at depths of 30, 60, 90,  120, and 150 cm.  Whea? plants were
harvested six times during the spring growing season to determine N uptake.
Soil moisture was at field capacity in the spring when experiments were estab-
lished.  While N uptake tended to decrease as the depth of N application increased,
total dry matter production was not affected by depth of N placement.   Wheat
plants easily obtained 'N placed at depths of up to 150 cm.  The results indicate
winter wheat roots are mostly established during the fall growing season
and are in a position  to provide N early in the spring for rapid above ground
growth.                                                                 ^
DEFOLIATION AND  FERTILIZER NITROGEN EFFECTS ON NITRATE-NITROGEN PROFILES IN MAIZE,
Hicks, D.R. and  Peterson,  R.H.
Minnesota  University,  Department of Agronomy and Plant Genetics, St.  Paul,
Minnesota  55108
Agronomy Journal,  Vol.  68, No. 3, p 476-478, May-June 1976.  3 fig,  10 ref.

Descriptors:   Corn,  Hail,  Nitrate, Nitrogen, Fertilization

Corn  vegetative  tissue remaining after hail damage is often utilized for forage.
Environmental  stresses may cause levels of nitrate-nitrogen in plant tissue that
are toxic  to ruminants.  This study was conducted to determine the effect of leaf
blade removal  (simulated hail damage) and N fertilization of the soil on the NO-3-
N profile  of corn fodder.   Leaf blade removal of 0, 50, 100% was imposed at
tasseling  on the corn hybrid  'Dekalb XL45A' grown in soil fertilized with either
115 or 230 kg  N/ha.   Plants were sampled approximately weekly for 6 weeks after
defoliation.


76:03F-090
EVALUATION OF  SULFUR-COATED UREA  (SCU) APPLIED TO IRRIGATED POTATOES AND CORN,
Liegel, E.A. and Walsh, L.M.
Wisconsin  University,  Department of Soil Science, Madison, Wisconsin.
Agronomy Journal,  Vol.  68, No. 3, p 457-463, May-June 1976.   4 fig,  5 tab,  9 ref.

Descriptors:   Potatoes, Corn, Nitrogen, Fertilizers, Fertilization,  Wisconsin,
Leaching,  Irrigation,  Irrigation effects. Urea.

Excessive  rates  of soluble N  fertilizers are sometimes used on irrigated sands  in
Central Wisconsin to compensate for loss of some of the applied N by leaching.
Use of a slow-release form of N or several small applications of a soluble N fer-
tilizer may  eliminate some leaching and subsequent loss of N03-N.  This study was
designed to  evaluate these methods of reducing N losses by measuring yield and
recovery of  applied N by potato tubers and corn grain.  Supplemental N treatments
applied each year for 3 years were as follows:  1) urea in a single or split
application,  2)  SCU impregnated with a wax coating, and 3) SCU with only a sulfur
coating.


 76:03F-091
 SALT  TOLERANCE OF PROSTRATE SUMMER CYPRESS  (KOCHIA PROSTRATA) ,
Francois,  L.E.                                                    ,.      TT . .  ,
Agricultural  Research Service - United States Department of Agriculture, United
 States Salinity  Laboratory, P- 0. Box 672, Riverside, California 92502.
Agronomy Journal,  Vol.  68, No. 3, p 455-456, May-June 1976.  2 tab,  9 ref.

 Descriptors:   Salinity, Saline soils, Salt tolerance, Greenhouse experiments,
 Sodium, Chloride,  Rangelands.
 Prostrate summer cypress, a widely distributed perennial shrub in Russia, ^
 imported into the USA to determine its potential as an acceptable forage on the
 western rangelands.  Since considerable acreage of its possible habitat contains
                                              147

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salt-affected soils, a salt tolerance study was done to determine how well  suited
it was to these saline areas.  Two accessions of prostrate summer cypress were
tested using soil cultures in the greenhouse.  Salinity levels used were 2,  7,
11, and 17 mmhos/cm.  The plants were harvested six times over a 3-year period.
Both accessions proved to be very salt tolerant but one was significantly more
productive than the other at all salinity levels.  Although sodium and chloride
contents approached 50 and 85 meg/100 g dry matter, respectively, no salt injury
symptoms were visible.  Sodium uptake increased proportionately with increasing
salinity, whereas chloride uptake was less dependent on salt concentration  and
appreciably greater than that of sodium.  Since both accessions proved to be highly
salt tolerant, they should be well adapted for planting in the salt-affected
western rangelands.


76:03F-092
SEED COATING, PRECISION PLANTING, AND SPRINKLER IRRIGATION FOR OPTIMUM STAND
ESTABLISHMENT,
Robinson, F.E. and Mayberry, K.S.
California University, Cooperative Extension, Department of Water Science and
Engineering, California
Agronomy Journal, Vol. 68, No. 4, p 694-695, July-August 1976.  2 tab, 7 ref.

Descriptors:  Lettuce, Sugar beets, Sprinkler irrigation, Germination, Carrots,
Onions, Seeds, Irrigation effects, Irrigation practices.

The legal prohibition of the short handled hoe in California has forced a change
in the conventional practice of surplus-seedling and subsequent thinning to achieve
optimum stands with lettuce and sugar beet crops.  Precision placement of coated
seed was evaluated as an alternate method of stand establishment with five crops
grown on Meloland sandy clay loam with sprinkler irrigation.   Germination was
compared to emergence of coated seed.  Emergence was:  carrot 86%, onion 85%, and
sugar beet 71%.  Single lettuce seeds 38 cm apart had 89% stand, paired seeds
2.5 cm apart on 38 cm intervals and thinned had 97%.


76:03F-093
CHANGES IN TOTAL N, ORGANIC MATTER, AVAILABLE P, AND BULK DENSITIES OF A CULTIVATED
SOIL 8 YEARS AFTER TAME PASTURES WERE ESTABLISHED,
White, E.M., Krueger, C.R., and Moore, R.A.
South Dakota State University, South Dakota Agricultural Experiment Station,
Department of Plant Science, Brookings, South Dakota 57006
Agronomy Journal, Vol. 68, No. 4, p 581-583, July-August 1976.  2 tab, 9 ref.

Descriptors:  Nitrogen, Organic matter, Phosphorus, Bulk density, Soil investi-
gations, South Dakota, Pastures,_Alfalfa.

Cultivated Williams loam soils in north-central South Dakota were sampled after
pastures were established and 8 years later so that the effect of the pastures on
soils could be studied from analysis in the laboratory.  Pastures were seeded to
Russian wildrye, crested wheatgrass, or a mixture of smooth bromegrass, intermed-
iate wheatgrass, and a pasture alfalfa.  Soil N and bulk densities increased as
available P decreased in the 8 years.  The soil organic matter increased under
all pastures, but it was small.  The increases in organic matter, decreases in
available P, and increases in saturated-clod bulk densities were different in
the various pastures.  Total N and organic matter increased about 0.001 and 0.02%
per year, respectively, which is slower than the rate of decrease caused by cul-
tivating the original grassland soils.


76:03F-094
EFFECT OF LEAF SHAPE ON RESPONSE OF COTTON TO PLANT POPULATION, N RATE, AND IRRI-
GATION,
Rao, M.J. and Weaver, J.B. Jr.
Georgia University, Department of Agronomy, Athens, Georgia 30602.
Agronomy Journal, Vol. 68, No. 4, p 599-601, July-August 1976.  4 tab, 8 ref.

Descriptors:  Leaves, Cotton, Crop response. Irrigation, Irrigation practices,
Nitrogen, Fertilization.
                                             148

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Leaves varying in shape have  been identified in cotton
that leaf shape affects growth and other              '
                                                      ecnaracernplanoton
The objective of these  studies  was to evaluate okra and normal leaf shape on boll
rot, yield, earliness,  boll  size,  and fiber properties.  Near isogenic lines of
okra and normal leaf  shape cotton  was evaluated at three plant populations and
three N rates on an Appling  coarse sandy loam soil over a 3-year period 1971-73
in 1972 irrigation treatments were also included.   No significant interactions  '
were found between leaf characters, plant populations,  N rates,  and irrigation
Okra leaf shape increased earliness, boll size, and micronaire and decreased seed
cotton loss due to boll rot.  With increasing plant populations,  lint yield and
earliness tended to increase and boll size decreased.  Higher boll rot loss was
observed at higher levels of N.  Irrigated cotton produced significantly greater
lint yield, boll size,  and fiber length and increased earliness.



76:03F-095
HIGH-FREQUENCY TRICKLE  IRRIGATION  AND ROW SPACING EFFECTS ON YIELD AND QUALITY
OF POTATOES,
Phene, C.J. and Sanders, D.C.
Agricultural Research Service-United States Department of Agriculture, Florence,
South Carolina 29501
Agronomy Journal, Vol.  68, No.  4,  p 602-607, July-August 1976. 6 fig, 4 tab, 15 ref.

Descriptors:  Potatoes, Irrigation, Irrigation practices, Crop production. Soil
water stress, Soil water.  Soil  moisture.

Soil water  is a major limiting  factor in the production and quality of potatoes.
The objectives of this  research were to determine the effects of trickle irrigation
under controlled soil matric potential and two row spacings on the yield, quality,
and nutrient contents of potatoes.  Potatoes, trickle irrigated with nutrient solu-
tion and grown in 100-cm rwo spacing on sandy loam soil, yielded 76% more market-
able potatoes than those trickle irrigated under a plastic mulch and grown on twin
row spacing and  206%  more  than  100-cm spaced, nonirrigated potatoes.
 76:03F-096
 LATE SUMMER IRRIGATION AND ESTABLISHMENT OF WINTER ANNUAL LEGUMES IN A MEDITER-
 RANEAN-TYPE CLIMATE,
 Taggard,  K.L.,  Delmas, R.E., and Raguse, C.A.
 California  University, Department of Agronomy, Davis, California.
 Agronomy  Journal,  Vol. 68, No. 4, p 674-677, July-August 1976. 3 tab/7 ref.

 Descriptors:   Legumes, Clovers, Grasses, Ryegrass, Irrigation, Irrigation effects,
 Irrigation  practices.

 Winter annual legumes have low fall and early winter forage yields in Califormia's
 Mediterranean-type climate.  A 2-year field study was conducted to determine  the
 effects of  late summer irrigation on seedling development, forage yield potential,
 and management problems of subterranean clover, rose clover, and bur clover.   A
 mixture of  three annual grasses, slender wild oats, and annual ryegrass, and  a
 natural stand of indigenous species were included in the study for comparison.
 By irrigation prior to fall rains, we subjected six successive seedings, 2 weeks
 apart, to higher temperatures and longer fall-growth periods than usual.
 76:03F-097
 SOYBEAN ROOT DEVELOPMENT AND SOIL WATER DEPLETION,
 Stone,  L.R., Teare,  I.D., Nickell, C.D., and Mayaki, W.C.
 Kansas  State University, Department of Agronomy, Evapotranspiration Laboratory,
 Manhattan,  Kansas 66506                                        r  •    t »   r
 Agronomy Journal, Vol.  68, No. 4, p 677-680, July-August 1976. 6 rig, 14 ret.

 Descriptors:  Soybeans, Root development, Soil moisture, Soil water, Model studies.
                                              149

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We conducted a field study to investigate soybean root growth and water depletion
patterns.  Field water depletion and rooting data are needed to assist in develop-
ing and refining models that consider root-soil-water interactions.   Irrigated  and
nonirrigated soybeans were grown in a deep, barrier-free, Muir silt loam.   Soil
water content, determined using neutron moderation, was used to calculate water
depletion rates.  Soil water content and desorption curves were used  to estimate
soil water potential.  Available soil water was estimated using—15 bars soil
water potential as the lower limit of availability-  We collected soil volumes
76 cm wide, 7.6 cm thick, and 180 cm deep and washed roots free using a 53-mesh
screen.  During the first half of our study, maximum root and water depletion
depths were nearly equal.  Later, water depletion tended to be about  15 cm  deeper
than root growth  (possibly as a result of upward water movement into  the water-
depleted root zone).


76:03F-098
IRRIGATED AND NONIRRIGATED SOYBEAN, CORN, AND GRAIN SORGHUM ROOT SYSTEMS,
Mayaki, W.C., Stone,  L.R., and Teare, I.D.
Kansas State University, Evapotranspiration Laboratory, Manhattan, Kansas 66506.
Agronomy Journal, Vol. 68, No. 3, p 532-534, May-June 1976. k fig, 1 tab, 4 ref.

Descriptors:  Root distribution, Irrigation, Irrigation effects, Soybeans,  Corn,
Grain sorghum. Furrow irrigation. Soil water.

Knowledge of rooting patterns of various crops is important in designing irriga-
tion systems and assessing water extraction capabilities.  We investigated  root
depth and distribution under irrigated and nonirrigated conditions for soybeans,
corn, and grain sorghum.  Soil cores 6.7 cm in diam. were taken to 180 cm deep
in the crop row, 1/4 row, and 1/2 row (furrow) for each crop at physiological
maturity-  The cores were sectioned in 30-cm increments and washed through  35-
mesh screen  (0.73 mm opening), and the roots oven dried.  The study soil was
deep, barrier-free, Muir silt loam (fine-silty, mixed, mesic, Pachic Haplustoll).
Approximately 71, 64, and 86% of the total root dry matter were in the upper 30
cm for nonirrigated soybeans, corn, and grain sorghum, respectively-  Only  corn
did not  have roots in the 150 to 180-cm zone.  Seasonal water uses under irrigated
conditions  (neglecting water flux into or from the root zone) were 65 cm, 65 cm,
and 53 cm in soybeans, corn, and grain sorghum, respectively.  Seasonal water
use was  approximately 44 cm by each of the three crops under nonirrigated
condition's.


76:03F-099
EVALUATION OF NONUNIFORMITY IN IRRIGATION AND YIELD,
Varlev,  I.
Academy  of Agricultural Sciences, Agrophysics Laboratory, Sofia, Bulgaria
Journal  of the Irrigation and Drainage Division, Vol. 102, No. IR1, p 149-164,
March 1976. 6 fig, 1 tab, 15 ref.

Descriptors: Irrigation, Irrigation effects, Irrigation practices, Irrigation
efficiency, Crop production, Infiltration, Uniformity coefficient.

The nonuniformity of water distribution over an irrigated area is one of the basic
features for evaluation of irrigation quality.  It has been established, that non-
uniformity of distribution influences crop yield from different parts of an irri-
gation water distribution and its' effect on crop yield and average infiltrated
depth.  For definite relationships between the depth of infiltrated water and
yield crop, for arid, humid, and subhumid zones, a coefficient of the nonuniform-
ity is defined, characterizing both nonuniformity and yield depression caused by
nonuniformity of irrigation-water distribution.


76:03F-100
WATER MOVEMENT IN SOIL FROM TRICKLE SOURCE,
Hachum, A.Y., Alfaro, J.F., and Willardson, L.S.
Utah State University, Department of Agricultural and Irrigation Engineering,
Logan, Utah.
Journal of the Irrigation and Drainage Division, Vol. 102, No. IR2, p 179-192,
June 1976. 9 fig, 3 tab, 10 ref.
                                              150

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m°Veitlent' Soil water' Soil moisture, Soils, Soil
                                                                           inves-
Trickle irrigation basically  involves the slow application of water to  the  soil
at particular points where  the  water immediately enters the soil  and spreads
through it without appreciable  flow of free water on the soil surface?P One of the
basic research needs at  the present time is to obtain more information  about  the
water distribution pattern  under a trickle source for different soil types  and
different discharge rates.  The -soil type and rate of water application influence
the rate of horizontal and  vertical water movement in the soil and the  distribu-
tion of the water potential in  the wetted soil zone.  Efficient design, operation,
and management of a trickle irrigation system require a full understanding  of
these factors.  The objective of this research was to: (1)  study water  movement
and distribution in homogeneous soil profiles under various rates of water  appli-
cation from a surface trickle line source; and (2)  utilize the results  for  prac-
tical use.                                                                  r


76:03P-101
CONSERVATION TILLAGE - EFFECTS  ON CROP PRODUCTION AND SEDIMENT YIELD,
Mannering, J.V., Johnson, C.B., and Wheaton, R.Z.
Purdue University, Agronomy Department, Lafayette, Indiana.
Presented at the 1976 Winter  Meeting of the American Society of Agricultural
Engineers, December 14-17,  1976, Chicago, Illinois.  16 p, 11 tab, 10 ref.

Descriptors:  Soil erosion, Crop response, Crop production, Erosion, Corn,  Soy-
beans.

Although tillage systems that leave appreciable crop residues on the surface  effec-
tively reduce soil erosion, they can result in reduced crop yields on poorly
drained soils.  Data are presented that illustrate the erosion control  effec-
tiveness of various tillage systems following corn and soybeans.
j76j03F-102
"SSsG^ (HOT WATER)  STORAGE IN GROUNDWATER AOUIFRRS,
EbeT-ing,  L.L.  and Reddell, D.L.
Texas  A and M  University,  Department of Agricultural Engineering, College Station,
Texas .
Presented at the JL976 Winter Meeting of the American Society of Agricultural
Engineers,  December 14-17, 1976, Chicago, Illinois. 27 p, 7 fig, 1 tab,  26 ref.

Descriptors:  Groundwater, Groundwater aquifers. Model studies, Aquifers, Ground-
water  management, Energy conversion, Energy -

A concept of storing hot water produced by solar collectors during the summer  in
groundwater aquifers is presented.  The hot water would be pumped to the surface
and used  for space heating during the winter.  The quantity of hot water capable
of being  produced at various areas in Texas and the aquifer availability for hot
water  storage  is discussed.  A numerical model to evaluate heat and mass transfer
in the aquifer is developed.


76-.03F-103
VERY- LOW- PRESSURE SPRINKLE IRRIGATION,
Burt,  C.M.  and Keller, J.
Utah State University, Department of Agricultural and Irrigation Engineering,
Logan,  Utah.                                                       .       .
Presented at the 1976 Winter Meeting of the American Society of Agricultural
Engineers,  December 14-17, 1976, Chicago, Illinois.  24 p, 8 fig, 4 tab, 4 ret,
1 append.

Descriptors:  Sprinkler irrigation, Irrigation, Irrigation systems, Irrigation
practices,  Irrigation engineering.
 Tests were conducted on the available sprinklers which can be °Per^ at pres-
 sures of less than 4/3 atmosphere.  Operating characteristics and design recommen
 dations  for the 'best sprinkler' from each of the four types of very-low-pressure,
                                               151

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VLP, sprinklers are presented.  The four types include: spray heads,  perforated
pipe, reaction rotated sprinklers, and impact rotated sprinklers.   The  impact
sprinkler appears to be superior for VLP operation and merits further develop-
mental effort.


76:03F-104
FOOD PRODUCTION POTENTIAL FROM HOME GARDENS,
Smith, S.W. and Walker, W.R.
Colorado State University, Department of Agricultural Engineering,  Fort Collins,
Colorado
Presented at the 1976 Winter Meeting of the American Society of Agricultural
Engineers, December 14-17, 1976, Chicago, Illinois.  11 p, 3 fig, 2 tab, 5 ref.

Descriptors:  Food abundance, Foods, Mulching.

Developments in American agriculture are often applicable to home gardens.  Tech-
nologies such as drip irrigation, mulching with black polyethylene  sheeting,  and
intensive cultivation practices may be utilized by the gardener.  Through these
technologies the necessary labor input can be minimized and even a  small garden
can materially offset a family's food budget.


76:03F-105
GRASSLAND RENOVATION - CONSERVES SOIL AND ENERGY AND INCREASES RETURNS FROM GRASS
FIELDS,
Smith, E.M. and Evans, J.K.
Kentucky University, Department of Agricultural Engineering, Lexington, Kentucky.
Presented at the 1976 Winter Meeting of the American Society of Agricultural
Engineers, December 14-17, 1976, Chicago, Illinois. 12 p, 1 fig, 3  tab, 14 ref.

Descriptors:  Grasslands, Soil erosion, Fertilization, Nitrogen, Legumes.

A grassland renovation seeder has been developed to interseed legumes into exist-
ing grass fields.  This seeder disturbs less than ten percent of the grass sod.
Most of the sod remains to prevent soil erosion, even on steep slopes.  Grass
fields which were renovated with a grassland renovation seeder by planting 6
pounds of red clover seed per acre required an energy investment of 0.023 times
1,000,000 KCal. per acre each year.  Nitrogen fertilization of grass fields re-
quires an energy input of 55 KCal. as compared with each KCal. of energy input
when the new grassland renovation unit is used instead of nitrogen.  Potential
returns in the form of beef produced on the grass fields per 100 brood cows was
increased from 25,272 pounds with nitrogen fertilization to 40,112 pounds with
grassland renovation to obtain a clover grass mixture.  Grassland renovation
yielded 1.59 pounds of beef for each pound with nitrogen fertilization.
76:03F-106
THE CORNER SYSTEM - A VARIABLE RADII CENTER PIVOT SYSTEM,
Frankenstein, R.L.
Valmont Industries, Incorporated, Irrigation Products Division, Valley, Nebraska.
Presented at the 1976 Winter Meeting of the American Society of Agricultural
Engineers, December 14-17, 1976, Chicago, Illinois. 12 p, 5 fig.

Descriptors:  *Sprinkler irrigation, Irrigation practices, Irrigation systems,
Irrigation efficiency, Irrigation engineering.

A center pivot irrigation system has been developed that distributes water con-
siderably beyond the reach of previous center pivots; thus, allowing the irriga-
tion of square, rectangular, and other non-circular field shapes.  The system'
consists of an additional 'swing span1 attanced to the end of the basic center
pivot that extends and retracts to conform to field boundaries.  The additional
pipeline, the swing span, is supported by one steerable drive unit that is .guided
around the field, in and out of corners, by tracking a signal emitted by a buried
signal wire.  Sprinklers along the swing arm are controlled automatically to  pro-
vide uniform water distribution under all parts of the system.  This new concept
of self-propelled irrigation allows over 96% field coverage in most situations.
                                             152

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                                                                   n ^eloping  the


76:03F-107
NEW 'LATERAL MOVE' SPRINKLER CUTS  NO CORNERS,
Schleicher, J.
Irrigation Age Magazine,  1999 Shepard Road,  Saint Paul  Minnesota
Irrigation Age, Vol.  11,  No.  1,  3  p, September 1976.  3 fig.

Descriptors:  Sprinklers,  Sprinkler irrigation,  Irrigation,  Irrigation practices.

A new sideroll sprinkler  system  has been developed to irrigate corn.
76:03F-108
OPTIMIZATION OF SUBUNIT  DIMENSIONS FOR PRESSURIZED IRRIGATION SYSTEMS,
Oron, G. , Karmell,  D., and Walker, W.R.
Colorado State University, Department of Agricultural Engineering,  Fort Collins,
Colorado.
Presented at the  1976 Winter Meeting of the American Society of Agricultural
Engineers, December 14-17, 1976,  Chicago, Illinois.  11 p,  4 fig,  3  equ, 4  ref.

Descriptors:  Optimization, Irrigation, Irrigation design,  Irrigation  systems,
Pipelines, Piping systems, Model  studies, Computer models.

The  sophistication in analyzing optimality in a pressurized irrigation system de-
sign has evolved  from pipe sizing problems for complex evaluations  of  layout
alternatives, field dimensions, energy input, and operational criteria.  The non-
linear, mixed-integer model developed gave interesting results to the  more general
design questions,  but its complexity precludes its use as  a design  tool for many
design applications, particularly where certain assumptions on field layout have
been made.  Results given in this paper demonstrate two of the possible uses a
model like this may find feasible.


76:03F-109
ANALYSIS OF HIGH  FREQUENCY FURROW IRRIGATION,
Walker, W.R. and  Gerards, J.
Colorado State University, Department of Agricultural Engineering,  Fort Collins,
Colorado.
Presented at the  1976 Winter Meeting of the American Society of Agricultural
Engineers, December 14-17, 1976,  Chicago, Illinois.   12 p,  5 fig, 2 tab, 9 equ.

Descriptors:  Furrow irrigation.  Surface irrigation, Irrigation,  Irrigation sys-
tems, Irrigation  practices, Infiltration.

The  possibility of high  frequency furrow irrigations is explored.  Field data
demonstrate the difficulty in evaluating infiltration parameters.  Analyses of
results  indicate  a number of advantages in high frequency  furrow irrigations.
 76:03F-110
 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 Society of  Agricultural
 Engineers,  December 14-17,  1976, Chicago, Illinois. 9 p, 4 tab,  17 ref.

 Descriptors:   Irrigation, Irrigation systems. Cotton, Soil moisture,  Soil  water,
 Crop  production, Crop response, Nutrients, Fertilization, Nitrogen.

 It was concluded that an available soil moisture depletion of 50 to 55%  at irri-
 gation will give the highest yields for short-season, high-density cotton. This
 is compared to about 65% for conventional cotton.  Changing the  scheduling cri-
 teria during the season tended to reduce yields.  Application of 100  pounds of
                                              153

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N per acre appears adequate for the soils studied.  This provided adequate  nitro-
gen for plant growth but did not result in high., petiole nitrate values  late in
the season.  For highest yields irrigation termination should be based  on obser-
vations 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 moisture and plant condition is both necessary and satisfactory for irri-
gation scheduling.  With experience, feel and appearance of soil moisture condi-
tion was quite adequate for irrigation scheduling.  Other methods were  more expen-
sive and time consuming but were no better than field observations.  Yields were
comparable to those obtained with conventional cotton for the years studied.
Water requirements were similar to those for conventional cotton.  Early termin-
ation reduced the number of irrigations by one and in 1974 reduced the  yield by
17%.


76:03F-111
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, Surface irrigation. Erosion, Erosion control,
Furrows, Flow resistance, Flow, Soybeans.

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 combining early plant  growth
and weed control approaching plowing with moisture conservation and erosion con-
trol approaching the no-till system.


76:03F-112
 BUDGET FOR YOUR NITROGEN IDEAL SUGARBEETS,
Westfall, D.G.
The Great Western Sugar Company, Agricultural Research Center, Longmont, Colorado
Crops and Soils Magazine, Vol. 28, No. 5, p 12-14, February 1976. 3 fig.

Descriptors:  Nitrogen, Nutrients, Fertilizers, Fertilization, Sugarbeets,  Crop
production, Agriculture.

This budget technique is a foolproof way of determining the fertilizer  recommen-
dation for sugarbeets that is a vital link in efficient production.  By using this
technique, you no longer have to apply nitrogen fertilizer blindly.  You have a
technique that has proven itself by reaching the compromise of optimum  yield of
high sugar content sugarbeets.


76:03F-113
BAND APPLICATION: A BETTER LESS COSTLY WAY TO FERTILIZE YOUR CROPS,
Richards, G.E.
Olin Corporation, Northern Regional Agronomy
Crops and Soils Magazine, Vol. 28, No. 9, p 10-11, August/September 1976

Descriptors:  Fertilizers, Fertilization, Nutrients, Crop production. Agriculture.

Band application of phosphatic fertilizer or a combination of band plus broadcast
is the most efficient and most profitable way to apply fertilizer over  both the
long or short term.  Band application of phosphorus takes less fertilizer.   Band-
ing reduces fertilizer costs, interest costs, and application costs.  It may also
reduce fuel costs.  Banding extends planting time by only 30 seconds per acre.
76.-03F-114
NEW ROW CROP DRIP IRRIGATION USE,
Hall, B.J.
California University, San Diego, California
Drip/Trickle Irrigation, Vol. 1, No. 1, p 26-27, June 1976. 5 fig.
                                             154

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Sonf ?rrIg;tion1lfi^ieAcyfrigati0n PraCtices'  Irrigation system,  Crop  produc-


The increase of drip irrigation over furrow application for row crops  was substan-
tial last year, and it will make real inroads in 1976.   Drip irrigation is expand-
ing rapidly in crops of  staked  tomatoes,  strawberries,  cucumbers,  squash, peppers,
and soft squash.  In San Diego  County,  tomatoes  were irrigated  last  year  with
several drip irrigation  systems, and this year two to three thousand acres will be
in drip irrigation.  Over 50  percent of the strawberry plantings in  California are
in drip irrigation.  The use  of drip irrigation  will expand into new lower gross
income crops for water savings  and other benefits.


76:03F-115
FERTILIZER AND CHEMICAL  INJECTION,
Schnedl, D.
Dymax Group
Drip/Trickle Irrigation, Vol.  1, No. 3, p 23-25, October 1976.

Descriptors: Fertilizers, Fertilization,  Nutrients, Irrigation, Irrigation prac-
tices, Irrigation water.

The methods in general use for  fertilizer and chemical feeding, in order  of in-
creasing preference, are: 1)  Simple metering into the irrigation water, 2)  Use of
a venturi/bypass system, 3) A metering pump, 4)  Proportionate feeding, using a
pump, pulse-generating flow meter and counter/timer control unit,  and  5)  Propor-
tionate feeding using a  pump,  flow meter with pulsed output and an SCR/variable
speed DC drive.  The discussion applies to fertilizers, herbicides,  algaecides,
chlorine and other  chemicals.


76:03F-116
NITROGEN NOW AND TOMORROW,
Parker, J.H.
Tennessee Valley Authority,  National Fertilizer  Development Center,  Tennessee
Crops and Soils Magazine, Vol.  28, No.  8, p 12-14, June-July 1976.

Descriptors:  Nitrogen,  Fertilizers, Fertilization, Nutrients.

We  can expect to continue to  have nitrogen fertilizers in the future.  The domin-
ance of natural gas as  a feedstock for ammonia production will diminish,  being
supplemented by coal  late in  this century.  Further in the future, processes based
on  nuclear  electricity  and/or heat may become dominant.  Other approaches that
now appear  exotic  could  assume significance if researchers are able  to manipulate
nature's secrets successfully.   But we still face the possibility of short-term
scarcities  when we  have  fast-changing market conditions.
 76:03F-117
 ONE DROP AT A TIME,
 Flaherty, D.
 Quest, Vol.  12,  No.  4,  p 4-9, Winter-Spring 1976. 8 fig.

 Descriptors:   Irrigation, Irrigation systems, Irrigation practices,  Irrigation
 water,  Filters,  Filtration.

 With multiple demands  increasing for a finite supply of water, the drip system of
 irrigation  has a lot more to offer, once some problems are solved   Engineers and
 Scientists  at Washington State University are working on the problems.
 76:03F-118
 SUBTERRANEAN IRRIGATION,

 Irrigation  Journal,  Vol.  26, No. 1, p 16-18, January-February 1976.  4 fig.
                                              155

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Descriptors:  Irrigation, Irrigation practices, Subsurface  irrigation,  Turf,
Turf grasses, Irrigation efficiency.

The PAT System involves the scientific construction of playing  surfaces of  natural
turf and soil over a perscribed mixture of sand to a depth  of 16  to  24  inches.
Then a network of plastic pipe, with slits at uniform intervals,  connected  to
suction pumps controls the water flow  (either off the field or  onto  the root
zone for irrigation).  Electric heating cables can also be  provided  which will
extend the frost-free season and lengthen the turf growing  season.   Underneath
all this is the plastic sheeting which creates the barrier  against underground
water rising to the playing surface.  Presently this is a special ten-mil thick
vinyl sheeting welded together in massive sheets which are  gate folded  before
movement from the factory to the construction site.  Properly engineered and
technically constructed, the PAT System promises to offer the answer to the many
faults of artificial turf and to provide a fine natural turf playing surface for
an extended season that can take a real beating without showing the  damage  of
athletic fields of yesterday.


76:03F-119
WEED MANAGEMENT TOOL HERBIGATION FOR IRRIGATED CROPLAND,
Siefert, W.
Nebraska University, Lincoln, Nebraska
Crops and Soils Magazine, Vol. 28, No. 5, p 10-11, February 1976. 2  fig, 1  tab.

Descriptors:  Herbicides, Crop production, Irrigation, Irrigation practices,
Irrigation systems, Irrigation water.

If you irrigate, you have a good alternative to conventional ground  or  air  chem-
ical applications for weed control.  The alternative is herbigation—applying
herbicides through the irrigation system.  Herbigation has  been researched  for
several years and is gaining acceptance among irrigators.   Good results  can be
obtained with herbigation in any type of irrigation system.
 76:03F-120
 DRIP SYSTEM APPLIES PHOSPHORUS,
 Irrigation Journal, Vol. 26, No. 1, p 24, January-February 1976.

 Descriptors:  Irrigation, Irrigation practices, Phosphorus, Nutrients, Fertilizers,
 Fertilization.

 Results from recent University of California studies show that injection of phos-
 phorus fertilizer through a drip irrigation system may be more feasible than
 commonly thought.


 76:03F-121
 REMOTE SENSING OF SOIL MOISTURE,
 Irrigation Journal, Vol. 26, No. 5, p 30-31, September-October 1976. 3 fig.

 Descriptors:  Soil moisture, Soil water, Remote sensing, Irrigation, Temperature.

 Like physicians taking the temperature and blood pressure of human patients, 0.S.
 Department of Agriculture scientists are testing the temperature and blood, or
 sap pressure of plants, looking for clues that will indicate under what soil-
moisture conditions the plants are growing.


 76:03F-122
LOW-COST 'BUBBLER1 IRRIGATION SYSTEM DEVELOPED,
Irrigation Journal, Vol. 26, No. 4, p 30, July-August 1976. 2 fig.

Descriptors: Irrigation, Irrigation systems, Irrigation efficiency, Water conser-
vation.

A simply installed, low-cost, low-pressure nearly maintenance-free system of
"bubbler" irrigation for tree crops is described.
                                             156

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76:03F-123
FEASIBILITY OF USING SOLAR  ENERGY TO DRIVE IRRIGATION PUMPS
Larson, D.L., Sands, C.D.,  II,  TowleTC.,  Jr.  and Fangemeier,  D D
Arizona University, Department  of Soils, Water and Engineering,  Tucson, Arizona
Presented at the 1976 Winter  Meeting of the American Society of Agricultural
Engineers, December 14-17,  1976,  Chicago,  Illinois.  18 p,  5 fig,  8  tab, 15  ref.

Descriptors:  Irrigation, Irrigation practices,  Solar radiation,  Project plan-
ning, Irrigation engineering, Energy, Economics.

The technical and  economic  feasibility of  using solar energy to drive  irrigation
pumps have been studied  to  determine the conditions required for serviceable,
competitive use of solar systems.  Solar power plant component development,
changes in irrigation and pumping practices, investment incentives  and higher
fuel prices may all be required for economical use of solar energy.
 76:03F-124
 COMPUTERIZED  IRRIGATION SCHEDULING METHOD MAY SAVE FARMERS MILLIONS  OF  DOLLARS,
 Irrigation Journal,  Vol.  12,  No.  5, p 24-25,  September-October 1976.  1  fig.

 Descriptors:   Irrigation,  Irrigation practices,  Water conservation,  Computer
 programs.

 A new computerized method of  irrigation scheduling which could result in  a  30
 to  35 percent savings in the  state's water and energy requirements  for  irriga-
 tion has been put on the Agriculture Computer Network (AGNET)  by University of
 Nebraska-Lincoln agricultural engineers.


 76:03F-125
 LOW-COST  'BUBBLER1 DEVELOPED,
 Irrigation Age,  Vol. 11, No.  1, p 20, September 1976.

 Descriptors:   Irrigation,  Irrigation systems, Irrigation efficiency,  Water  con-
 servation.

 A simply  installed,  low-cost, low-pressure nearly maintenance-free  system of
 "bubbler" irrigation for tree crops is described.


 76:03F-126
 SPOON-FEEDING NITROGEN,
 Irrigation Age,  Vol. 11, No.  1, p 18-19, September 1976. 3 fig.

 Descriptors:   Nitrogen, Nutrients, Fertilizers, Fertilization, Crop production.

 Producing a  bushel of corn with one pound of fertilizer requires accurate soil
 and water testing, skillful programming and a good understanding about  nutrient
 uptake  of the corn plant.   That is why a Colorado farmer is concentrating on
 three areas  which can help hedge against yield-depleting adversities: more
 efficient nutrient programming, better water scheduling and improved tillage
 techniques.


 76:03F-127
 DRIP/TRICKLE IRRIGATION GENERATING GROWTH, OPTIMISM,

 Irrigation Age,  Vol. 11, No.  3, p 14-16, November-December 1976. 1  fig.

 Descriptors:   Irrigation, Irrigation practices, 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.
                                              157

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76:03F-128
LOW-COST SAND AND GRAVEL SEPARATOR,
Humpherys, S.
Snake River Conservation Research Center, Kimberly, Idaho.
Irrigation Age, Vol. 11, No. 3, 1 p, November/December 1976. 2 fig.

Descriptors:  Filtration, Irrigation, Sprinkler irrigation, Irrigation practices.

Many wells supplying sprinkler systems produce sand and small gravel in varying
amounts and sizes.  Sand and gravel particles lodge in the sprinkler nozzles and
plug them.  Anyone with such a well knows that continually unplugging nozzles
can be exasperating.  Also, plugged nozzles affect water distribution and sand
in the water increases nozzle wear.  Raymond Humpherys and his son, Jerry, who
sprinkle irrigate their dairy farm in Star Valley, Wyoming, experienced this
problem.  To solve the problem, they purchased a 58-inch diameter, 442 gallon
buoy tank from a military surplus disposal year for less than $100.  They con-
nected the buoy to the buried pipeline from their pump as shown in the drawing.
The 10-inch inlet pipe was welded into the tank just below mid-height and close
to one side.  The outlet pipe was welded into the tank near the top.  Water
flowing through system creates circulation motion causes a centrifugal force
which moves the heavier particles to the outside where the water velocity is
lower.  The particles then settle to the bottom and accumulate in the center.
76:03F-129
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.
Paper No. 76-2039, Presented at the Annual Meeting of the American Society of
Civil Engineers, June 27-30, 1976. Lincoln, Nebraska, 12 p, 2 fig, 3 tab, 10 ref.

Descriptors:  Peaches, Orchards, Sprinkler irrigation, Evaporation, Irrigation
systems, Irrigation effects, Irrigation practices.

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 0.086 per hour (0.218 cm/hr) were utilized over a 31-day period to achieve
a 14-day bloom delay.


76:03F-130
OPERATING LARGE TRAVELING 'GUN' SPRINKLERS IN WINDS,
Shull, H. and Dylla, A.S.
United States Department of Agriculture, Agricultural Research Service, Morris,
Minnesota 56267.
Paper No. 76-2014, Presented at the Annual Meeting of the American Society of
Civil Engineers, June 27-30, 1976, Lincoln, Nebraska. 5 tab, 8 ref.

Descriptors:  Winds, Wind velocity, Irrigation efficiency, Uniformity, Irrigation
systems, Sprinkler irrigation, Minnesota.

Studies of the wind distortion of water application patterns from large single-
nozzle 'gun1 irrigation sprinklers in west central Minnesota, where high winds
are prevalent during the irrigation season, show that wind adversely affects the
application pattern.  When  'gun' sprinklers are used as traveling sprinklers,
there is no acceptable travel lane spacing that will give a Cu value of 85% or
greater under all of the wind conditions to be expected in windy areas.  Accept-
able water application uniformity can be achieved with wind velocities up to
about 25% of the no wind wetted diameter for the sprinkler, an unacceptable
solution.  Limiting irrigation to periods when the wind velocity does not exceed
about 3 m/sec, and the wind direction is normal to the travel lane direction, will
usually produce a Cu value of 85% or more.  In some areas average daytime winds
exceed 4 m/sec (9 mi/hr)  during the cropping season, however, wind velocity usually
decreases at night.  If night irrigation is possible it will provide a higher
Cu value than daytime irrigation because of the reduced wind velocity.  If an
operator has a choice of travel land direction, the direction should be normal
to the prevailing wind direction.
                                             158

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76:03F-131
AUTOMATION OF ON-FARM  IRRIGATION TURNOUTS UTILIZING JACK-GATES
Dedrick, A.E. and Erie,  L.J.                                   '
United States Department of Agriculture,  Agricultural Research Service,  United
States Water Conservation Laboratory,  4331 East Broadway,  Phoenix,  Arizona  85040
Paper No  76-2049, Presented  at the 1976  Annual Meeting of the American  Society
of^Agricultural Engineers, June 27-30,  1976,  Lincoln, Nebraska,  6  fig, 3 tab,


Descriptors:  Basins,  Irrigation, Irrigation  systems, Irrigation efficiency,
Irrigation practices,  Automation, Flood irrigation, Surface irrigation.

A 26.3 ha  (65-acre)  field, divided into eight level basins that are independently
irrigated from a centrally-located concrete-lined canal using single outlet jack-
gates, has been automated with pneumatic  controls and air  cylinders.  The system
has been successfully  operated for 14  irrigation cycles (May 1975  through May 1976)
The last 12 irrigations  were  completed by the farmer and/or his irrigator without
assistance from the  developers/researchers.


76:03F-132
UNIFORMITY OF DISTRIBUTION IN UNDERTREE IRRIGATION IN ORCHARDS,
Karmeli, D. and Walker,  W.R.
Technion - Israel  Institute of Technology, Lowdermilk Faculty of Agricultural
Engineering, Haifa,  Israel.
Paper No. 76-2012, Presented  at the 1976  Annual Meeting of the American  Society
of Agricultural Engineers, June 27-30,  1976,  Lincoln, Nebraska,  14  p, 3  fig,
2 tab, 6 ref.

Descriptors:  Sprinkler  irrigation, Irrigation efficiency, Irrigation systems.
Irrigation, Uniformity,  Orchards.

Sprinkler uniformity was evaluated in  two citrus orchards  using nozzles  of  varying
angles.  Results were  analyzed using the  Christiansen Uniformity Coefficient as
well as the wetting  zone technique. The  effects of nozzle angle as well as fol-
iage density were  determined.


76:03F-133
MINIMUM ENERGY DESIGNS FOR SELECTED IRRIGATION SYSTEMS,
Chen, K.L., Wolfe, J.W., Wensink, R.B., and Kizer, M.A.
Oregon State University, Department of Agricultural Engineering, Corvallis,
Oregon 97331
Paper No. 76-2037, Presented  at the Annual Meeting of the  American  Society  of
Civil Engineers, June  27-30,  1976, Lincoln, Nebraska, 7 fig, 5 tab,  6 ref.

Descriptors:  Computers, Computer programs, Model studies, Simulation analysis,
Irrigation,  Irrigation systems, Irrigation efficiency. Energy, Model studies,
Surface irrigation,  Sprinkler irrigation.

A computer model has been developed which simulates the total energy requirement
and determines the designs requiring minimum energy consumption for various
irrigation systems.  The model simulates  each system by modularizing its energy
needs into four basic  areas:   installation, operation, transportation, and  manu-
facturing.  The model  considers the total, non-renewable energy resources used
in the form of fossil  fuel.   Simulation model output determined the following
relatively consistent  energy  utilization hierarchy among the irrigation  systems.
The effects of field size on  minimum center pivot, permanent, and  solid  set sys-
tems.  The effects of  field  size on minimum energy requirements for each irri-
gation system were relatively small but indicated that solid set and permanent
designs should be  based  on small scale fields, that hand move and  side roll de-
signs reached minimum  designs with 80-acre fields, and that drip and surface
systems' energy requirements  remained  relatively constant  as the field sizes
were varied  from 20  to 160 acres.
                                              159

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76:03F-134
A LOOK AT CROP YIELDS ALONG THE COLORADO IN 2000 AD,
Robinson, F.E.
California University, Department of Land, Air and Water Resources, Water  Science
and Engineering Section, Davis, California.
1976 Annual Technical Conference Proceedings, Sprinkler Irrigation Association,
Technology for a Changing World, February 22-24, 1976, Kansas City, Missouri,
p 131-132. 13 ref.

Descriptors:  Technology, Irrigation, Crop production, Colorado River,  Sprinkler
irrigation, Irrigation efficiency.

Technology is advancing into the changing world and is propelled from many direc-
tions.  This change could improve yields along the Colorado because of  improved
uniformity of the sprinkling and precision placement.


76:03F-135
MANAGEMENT FOR OPTIMUM EFFICIENCY,
Howell, T.A.
Texas A&M University, Department of Agricultural Engineering, College Station,
Texas 77843.
1976 Annual Technical Conference Proceedings, Sprinkler Irrigation Association,
Technology for a Changing World, February 22-24, 1976, Kansas City, Missouri,
p 79-88. 1 fig, 7 tab, 7 ref.

Descriptors:  Irrigation water, Irrigation efficiency, Agriculture, Crop produc-
tion, Water quality, Optimization, Dynamic programming, Model studies.

The proper utilization of natural resources has never held a more prominent posi-
tion in our society than in these present times.  The influence and effects of
water on the world food supply are extremely important.  The irrigation water
utilized in agriculture in the future will probably be much lower in quality and
quantity than that found in present use.  The proper management of these water
supplies will become increasingly important.  This paper will focus on using high
frequency irrigation to maximize a crop yield with a limited quantity of irriga-
tion water.  The purpose was to utilize existing soil water and precipitation in
conjunction with supplemental high frequency irrigation to increase crop yields.
The specific objectives of this paper are to optimize the irrigation decisions
under high frequency irrigation so that the maximum yield was obtained with a
given quantity of irrigation water.  Dynamic programming was used to optimize
the multi-stage decision problem.  System simulation was utilized to simulate
the stochastic state transitions.


76:03F-136
DRIP IRRIGATION - WORLDWIDE 1975 PRESENT STATUS AND OUTLOOK FOR DRIP IRRIGATION,
Gustafson, C.D.
California University, San Diego, California
1976 Annual Technical Conference Proceedings, Sprinkler Irrigation Association,
Technology for a Changing World, February 22-24, 1976, Kansas City, Missouri,
p 58-65.

Descriptors:  Irrigation, Irrigation systems, Irrigation efficiency, Irrigation
practices, Orchards, Crop production.

The 1975 Worldwide Drip  (Trickle) Irrigation Survey is the second such  survey,.'
The first one in 1974 provided the first real look at what was happening to.drip/
irrigation in the United States and throughout the world.  It is now over  six  . •
years since drip irrigation was introduced into California to be used on comme'r-
cial agricultural crops.  The initial work began on an experimental five-acre
avocado orchard in northern San Diego County-  Experimentation has spread  to many
countries of the world and to most of the United States.  Large scale plantings,
utilizing drip irrigation', of most agricultural crops, have gone in.  In July,
1974,  the 2nd International Drip  (Trickle) Irrigation Congress was held in San
Diego, California.  It was the culmination of five years of research, field test-
ing and growers using the new method of irrigation.  Twenty-nine countries were
represented at the week long meetings, and with delegates from almost all  the
                                             160

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states of the U.S.A. in attendance.   Over  100  technical papers  were  presented
and are contained in the Proceedings  of  the Congress.   Sixty-five  manufacturers
displayed their products in  seventy booths.  Opening day for the exhibits  drew
2,000 people.  One thousand  persons registered for the Congress with each  scien-
tific session drawing 800-900  growers,  scientists, commercial company represen-
tatives and educators.


76:03F-137
SPRINKLER UNIFORMITY MEASURES  AND SKEWNESS,
Chaudhry, F.H.
Excola de Engenharia de Sao  Carlos, Deparamento de Hidraulica e Saneamento,  Sao
Carlos (SP), Brasil
Journal of the Irrigation  and  Drainage  Division, Vol.  102,  No.  IR4  p 425-433
December 1976. 3 fig, 14 ref.

Descriptors:  Sprinkler irrigation, Irrigation efficiency.  Irrigation systems,
Irrigation design, Infiltration.

The relationships between  the  more popular measures of uniformity  of sprinkler
irrigation have been studied both theoretically and experimentally taking  into
account the  skewness of the  precipitation  distribution.  The theoretical results
show reasonable agreement  with the data.  Excellent agreement in the case  of
pattern efficiency leads to  the conclusion that the smaller precipitations are
well described by the assumed  gamma distribution.   The effect of skewness,  in
general, is  to increase the  pattern efficiency and the coefficient of Christian-
sen.  The  linear relationships that exist  between these parameters are conditioned
by the extent of skewness.   This study  shows that the conversion of  one parameter
into another which is sometimes practiced  in the design of  sprinkler systems may
be risky if  the skewness is  disregarded.


76:03F-138
IRRIGATION TAILWATER LOSS  AND  UTILIZATION  EQUATIONS,
Schneider, A.D.
United States Department of  Agriculture Southwestern Great  Plains  Research Center,
Agricultural Engineering,  Bushland, Texas.
Journal of the Irrigation  and  Drainage  Division, Vol.  102,  No.  IR3,  p 461-464,
December 1976. 2 fig, 4 ref.

Descriptors:  Tailwater, Irrigation,  Furrow irrigation, Surface irrigation,
Irrigation systems, Return flow, Irrigation efficiency. Irrigation water.

Allowing irrigation tailwater  runoff  is the commonly accepted practice for fully
irrigating the lower end of  graded furrows or  borders.  Irrigation-system  water
losses are minimized by proper balance  between tailwater losses and  deep percol-
ation losses.  Griddle et  al.  (3) recommended  an irrigation advance  time equal
to one-fourth of the application time.   To reduce tailwater losses,  they recom-
mended a  'cutback'  furrow  stream during the latter part of  the  irrigation  set.
Irrigation tailwater recovery  systems can  reduce the water  losses  that occur
without a  cutback furrow stream.  Bondurant (2) presented design criteria  for
tailwater  recovery  systems and recommended operating the systems to  achieve a
reduced furrow stream input.  A knowledge  of the relative importance of design
variables  and the ability  to place bounds  on tailwater loss and recovery aids
the  engineer with limited  design information.   This paper develops equations
that show  the relative importance of  the variables affecting tailwater loss and
utilization.


76:03F-139
EFFECTS OF IRRIGATION SCHEDULING AND  COORDINATED DELIVERY ON IRRIGATION AND
DRAINAGE SYSTEMS,
Gear, R.D.,  Dransfield, A.S.,  and Campbell, M.D.
United States Department of  the Interior,  Bureau of Reclamation, Lower Colorado
Region.                                                       .               ,=
Presented  at the National  Water Resources  and Ocean Engineering Convention of
the  American Society of Civil  Engineers, April 5-8, 1976, San Diego, California,
17 p, 3 fig, 3 ref.
                                             161

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Descriptors:  Scheduling, Irrigation, Irrigation practices, Neutron absorption,
Crop production, Soil moisture, Soil water, Irrigation efficiency.

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  field
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.
Evidence collected from 40 fields with 7 crops during the summer of 1975 shows
inconsistent irrigation timing with respect to available moisture.  Consistent
timing alone could improve water use efficiency by more than 10 percent.  The
neutron probe measurements of soil moisture depletion yield values of transient
water use by plants as well as transient water loss by drainage.  These  two values
together, divided by the water applied yield the efficiency for the field.
76:03F-140
DEVELOPMENT AND EVALUATION OF EVAPOTRANSPIRATION MODELS FOR IRRIGATION SCHEDULING,
Wright, J.L., and Jensen, M.E.
United States Department of Agriculture, Agricultural Research Service, Snake
River Conservation Research Center, Western Region, Kimberly, Idaho 83341
Paper No. 76-2063, Presented at the 1976 Annual Meeting of the American Society
of Agricultural Engineers, June 27-30, 1976, Lincoln, Nebraska, 11 p. 6 fig, 1 tab,
4 ref.

Descriptors:  Evapotranspiration, Crop production, Irrigation, Micrometeorology,
Idaho, Lysimeters, Soil water, Beans.

Evapotranspiration  (ET) from irrigated crops as a function of crop, soil and micro-
meteorological conditions has been studied for several years in the arid region
of southern Idaho.  Earlier results were used to develop relationships for estim-
ating net radiation and potential ET as used in the USDA-ARS Computerized Irri-
gation Scheduling Program.  Estimates obtained with the earlier relationships
are compared with recent measurements obtained with two sensitive weighing lysim-
eters.  Procedures used in the development of crop curve relationships are pre-
sented for some of the crops studied to date.  The performance of the scheduling
program in predicting the depletion of soil water for two years of irrigated
beans are presented to demonstrate the accuracy of the procedures.  The importance
of obtaining representative meteorological data for irrigation scheduling is dis-
cussed.

76:03F-141
THE ROLE OF SIMULATION MODELS IN IRRIGATION SCHEDULING,
Jensen, M.E., and Wright, J.L.
United States Department of Agriculture, Agricultural Research Service, Snake
River Conservation Research Center, Western Region, Kimberly, Idaho 83341.
Paper No. 76-2061, Presented at the 1976 Annual Meeting of the American Society
of Agricultural Engineers, June 27-30, 1976, Lincoln, Nebraska, 14 p. 4 fig, 2 tab,
25 ref.

Descriptors:  Simulation analysis, Model studies, Scheduling, Climatic data, Crop
production, Irrigation, Irrigation systems, Evapotranspiration, Colorado, Cali-
fornia, Idaho, Irrigation efficiency.

The role of simulation models in irrigation scheduling based on daily climatic
data is discussed.  Simulation models provide tools that are valuable in the hands
of trained and experienced irrigation specialists.  Also, simulation models are
needed by service groups to provide irrigation scheduling services at a reason-
able cost.   A summary of factors affecting confidence levels in irrigation schedul-
ing is presented along with approximate magnitudes of the standard deviations to
be expected for each.   Generally the error associated with the amount of irri-
gation water applied exceeds the error due to ET estimates until the field can
be monitored.
                                             162

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76:03F-142
EVAPOTRANSPIRATION POTENTIAL UNDER TRICKLE IRRIGATION,
Walkerr W.R., Smith, S.W.,  and  Geohring,  L.
Colorado State University,  Department of  Agricultural Engineering,  Fort Collins,
Colorado 80523.
Paper No. 76-2009, Presented at .the 1976  Annual Meeting of the American Society
of Agricultural Engineers,  June 27-30, 1976,  Lincoln, Nebraska,  22  p.  7 fig,
18 ref.

Descriptors:  Evapotranspiration,  Irrigation, Irrigation systems, Sdheduling,
Irrigation efficiency,  Lysimeters, Peaches,  Orchards, Soil moisture.

Predicting evapotranspiration under trickle irrigated systems has posed difficult
problems in  scheduling  and  design because of the lack of generally  applicable
information.  A review  of currently available mythodology is given  along with
lysimeter studies  to assess the state-of-the-art.   Application of findings  is
made  to a young peaoVi orchard which is trickle irrigated by soil moisture sensors.
 76:03F-143
 MANAGING SALINE WATER FOR IRRIGATION,
 Texas Tech  University, International Center for Arid and Semi-Arid Land Studies,
 Lubbock, Texas.
 Proceedings of the International Salinity Conference, Texas Tech University,
 Lubbock, Texas, August 16-20, 1976. 618 p.
 (see 76:05C-002)
                                               163

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                                  SECTION XIX


                      WATER QUANTITY MANAGEMENT AND CONTROL

                   CONTROL OF WATER ON THE SURFACE (GROUP 04A)


76:04A-001
MANNING'S ROUGHNESS FOR ARTIFICIAL GRASSES,
Graf, ,  W.H., and Chhun, V.H.
Ecole Polytechnigue Federals de Lausanne, Laboratoire d'Hydraulique, Switzerland.
Journal of the Irrigation and Drainage Division, American Society of Civil
Engineers, Vol. 102, No. IR4, Proceedings Paper 12603, p 413-423, December 1976.
8 fig, 2 tab, 9 ref, 2 append.

Descriptors:  *Grasses, *Channels, *Roughness (Hydraulic), Roughness coefficient,
Reynolds number. Hydraulic properties, Hydraulics, Laboratory tests. Testing,
Equations.

Roughness of three types of artificial grass was investigated.  Artificial grass
consists of a mattress that simulates the soil surface where groups of grass are
fixed in longitudinal and radial rows.  The experiments were conducted in rectan-
gular and triangular laboratory flumes.  The following conclusions can be drawn:
The n-value was found to be dependent on the flow depth and on the Reynolds num-
ber at low range of depths.  The n-value was shown to be independent of the flow
parameters at a high range of depths.  The constant roughness coefficient values
for the higher discharges were n = 0.032, n = 0.027,  and n = 0.020 for the dif-
ferent artificial grasses.  These n-values are in good agreement with the exper-
imental results for 'real1 grass found in the literature.  It may be concluded,
therefore, that artificial grass will be a useful material when simulating grass
in the hydraulic laboratory.


 76:04A-002
 FIELD AND LABORATORY EVALUATION OF BI-LEVEL DRAINAGE THEORY,
 Chu, S.T., and DeBoer, D.W.
 South Dakota State University, Department of Agricultural Engineering,
 Brookings, South Dakota.
 Transactions of the American Society of Agricultural Engineers, Vol. 19, No. 3,
 p 478-481, May-June 1976.  5 fig, 6 tab, 9 ref.
 (See 02G-076)


 76:04A-003
 A THEORY OF FLOW RESISTANCE FOR VEGETATED CHANNELS,
 Thompson, G.T., and Roberson, J.A.
 Washington State University, Department of Civil and Environmental Engineering,
 Pullman, Washington.
 Transactions of the American Society of Agricultural Engineers, Vol. 19, No. 2,
 p 288-293, March-April 1976.  5 fig, 12 ref.

 Descriptors:  *Model studies, *Channel flow, *Flow resistance, Mathematical
 models, Drag, Vegetation, Roughness  (Hydraulic), Flow, Viscosity, Fluid
 mechanics, Fluid friction, Hydraulics.

 A theory was developed to predict the flow resistance in vegetated open chan-
 nels.  The solution technique was based on an analytical method originally pro-
 posed by Roberson for smooth conduits roughened with discrete submerged roughness
 elements.  Flow conditions may either partially or fully submerge the cylinders.
 Included in the analysis is a method to predict the effect of flexible vegeta-
 tion on flow resistance.  The model also predicts resistance effects of a
 smooth boundary or one roughened by dense concentrations of small elements such
 as soil particle aggregates.  An initial comparison of flume measurements of
 resistance for small diameter cylinders was given.  The analytical model pro-
 vides,  in addition to resistance factor, other flow parameters involved in
 analytical solutions of vegetated open channel flow.
                                              164

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76:04A-004
OPERATIONS MODELS FOR CENTRAL VALLEY  PROJECT,
Becker, I., Yeh, W.W.-G., Fults,  D.,  and  Sparks,  D.
California University, Department of  Engineering  Systems,  Los  Anqeles
California.
Journal of the Water Water Resources  Planning  and Management Division,
Proceedings paper No. 12062, Vol.  102,  No.  WR1, p 101-115,  April  1976
2 fig, 1 tab, 29 ref.  OWRT C-5184 (No.- 4208) (3) .

Descriptors:  *Water resources,  *Multiple-purpose projects, *Decision making,
*Hydro-electric power, California,  Optimization, Mathematical models,
Reservoirs, Planning, Management,  Operations research,  Algorithms,  Water  policy,
Linear programming. Dynamic programming.

System optimizing procedures are being  developed  for on-line use  in the opera-
tion of the Central Valley Project in California, a complex multiple objective
water resource system.   The project is  subject to requirements and  interagency
agreements.  A practical optimization method must address  not  only  these
requirements but also the continuing  needs  of  day-to-day operation, and the
necessity  for interposing the project managers in monitoring and  final decision
roles.  The basic technical diffulty  with an optimizing algorithm for a complex
water resource system is the dimensionality which can easily run  into the tens
of thousands of decision variables and  constraints.   The method being developed
for the project provides the necessary  decomposition and involves the project
managers,  assisted by an integrated group of multiple policies based on inter-
connected  monthly, daily, and hourly  models, using iterated linear  programming-
dynamic programming techniques.


76:04A-005
A PROCEDURE FOR ESTIMATING OFF-SITE SEDIMENT DAMAGE COSTS  AND  AN  EMPIRICAL TEST,
Lee, M.T., and Guntermann, K.L.
Illinois  State Water Survey, Urbana,  Illinois.
Water Resources Bulletin, Vol.  12, No.  3, p 561-575, June  1976.  5  fig, 3 tab,
22 ref.

Descriptors:  *Agricultural watersheds, *Damages, *Costs,  *Estimating, *Erosion,
*Reservoirs, Methodology, Equations,  Recreation,  Benefits,  Flood  damage,
Drainage,  Storage, *Illinois,  *Sediments.

Research  was conducted to develop a methodology for estimating agricultural
off-site  sediment damage costs  and an empirical estimate of such  damages  for
a watershed is included. The economics of off-site sediment damage costs are
discussed as a theoretical basis for  the procedures developed. A detailed
methodology is described for estimating five different types of off-site..sedi-
ment damages commonly associated with rural watersheds. The methodology  is then
applied to a central Illinois watershed and estimates of individual types of
damage are made.  The estimates are combined into an off-site  sediment damage
function  for the watershed, and the usefulness of the damage function for
analyzing off-site sediment damages and achieving a reduction  in  those costs is
discussed.

                                               /
76:04A-006
OPERATION OF A RESERVOIR COLLECTING WATER FROM A  SMALL WATERSHED,
Buras, N., Diskin, M.H., and Zamir,  S.
Technion-Israel Institute of Technology,  Lowdermilk Faculty of Agricultural
Engineering, Haifa, Israel.
Water Resources Research, Vol.  12, No.  5, p 866-872, October 1976.   5 fig,
6 tab, 3  ref.

Descriptors:  *Reservoir operation,  Optimization, *Economic efficiency,
Watersheds (Basins), Operations research, Synthetic hydrology, Storm runoff,
Decision  making. Irrigation, Reservoir  storage, Pumping, Costs, Benefits,
Equations, *Small watersheds.

Best operation policies, linear and nonlinear, were developed  for a small
reservoir  in which storm runoff water might be augmented by pumping water
from another source.  These policies  were aimed at a full  reservoir at the
                                              165

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 beginning of the yearly irrigation season and, indirectly, utilized more
 efficiently the existing neighboring pumping installations, which are usually
 idle in winter.  The operating policies are expressed as time-dependent
 functions indicating the level of the reservoir which would ensure its being
 full at the end of the rainy season with a given probability.  When these
 policies were tested with a synthetic hydrologic series of 45 years, it appeared
 that the cost of operating the reservoir was inversely proportional to the
 daily amount of water pumped into it from external sources.


76:04A-007
WIND EFFECTS ON WATER APPLICATION PATTERNS FROM A LARGE, SINGLE NOZZLE SPRINKLER,
Schull, H., and Dylla, A.S.
United States Department of Agriculture, North Central Region, North Central
Soil Conservation Research Center, Morris, Minnesota.
Transactions of the American Society of Agricultural Engineers, Soil and Water,
p 501-504, Special Edition 1976.  4 tab, 7 ref.

Descriptors:  *Sprinkling, *Sprinkler irrigation, Winds, Uniformity coefficient,
Irrigation, Irrigation practices, Irrigation effects, Irrigation systems.

This report describes a study to determine the effects of wind on the water
application pattern for a stationary, single nozzle, gun type irrigation
sprinkler.  The effects of wind on application uniformity were determined by
comparison of the wind-affected application patterns with calculated no-wind
patterns.  Deviation of the measured patterns from the no-wind patterns increased
as wind velocity increased.  Stationary application patterns were used to calcu-
late the water distribution if the same sprinkler were traveling down lanes in
a field.  The calculated distributions from a traveling sprinkler were then
overlapped with different travel lane spacings, and the Christiansen coefficient
of uniformity value determined for each spacing.  A regression equation was
developed to give maximum travel lane spacing to obtain a coefficient of uniform-
ity value of 0.85 as a function of wind conditions and water pressures.  Both
wind velocity and water pressure at the sprinkler elbow influence the water
distribution.  Also, for a traveling gun, wind direction relative to travel
direction provides an additional affect; as the wind direction more nearly
approaches the travel direction, lane spacing must be decreased to maintain
acceptable application uniformity.


76:04A-008
SIMULATING OVERLAND FLOW IN BORDER IRRIGATION,
Bassett, D.L., and Fitzsimmons, D.W.
Washington State University, Department of Agricultural Engineering, Pullman,
Washington.
Transactions of the American Society of Agricultural Engineers, Soil and Water,'
p 666-671, Special Edition 1976.  3 fig, 2 tab, 15 ref.

Descriptors:  *Border irrigation, *Surface irrigation, *0verland flow, Simulation
analysis, Mathematical models, Model studies, Irrigation, Irrigation systems.

A mathematical model of the border irrigation process is introduced.  It is
based on the complete equations of continuity and momentum for unsteady,
spatially varied flow in open channels.  The equations are solved approximately
by the method of characteristics.  Simulated irrigation are compared to test
data.  Agreement between simulated and observed data is generally satisfactory.
Applications of the model are suggested.


76:04A-009
SURFACE MODIFICATIONS FOR WATER MANAGEMENT AND SALINITY CONTROL IN A
NONIRRIGATED AREA,
Rektorik, R.J.,  Allen, R.R., and Lyles, L.
Agricultural Research Service, United States Department of Agriculture,
Department of Agricultural Engineering, Weslaco, Texas.
Transactions of the American Society of Agricultural Engineers, Soil and Water,
p 699-703, Special Edition 1976.  6 fig, 2 tab, 15 ref.

Descriptors:   Saline soil. Salinity, Leaching, Runoff, Surface runoff. Grain
sorghum,  Cotton, Crop production, Salt.
                                             166

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Leveling the saline soil areas  in  a field to a plane 9 era lower than that  of  the
nonsaline soil areas allows water  from high intensity rains to run off  from the
higher nonsaline soils and pond on the saline soils/thus providing leaching  water
Original soil salinity for the  0-90 cm soil profile was reduced 53^o if percent
}?o™? B*1t2e     n^Salin? areas' resPectively.   Grain sorghum (1969)  and cotton
(1970) yields were 47 and 38 percent greater than yields from an adjacent
untreated field.


76:04A-010
ESTIMATING SEEPAGE LOSSES FROM  CANAL SYSTEMS,
Worstell, R.V-
Snake River Conservation Research  Center, Department of Agricultural Engineering,
Kimberly, Idaho
Journal of the Irrigation and Drainage Division,  Vol. 102, No.  IR1, p 137-147
March 1976. 5 fig, 3 tab, 22 ref.

Descriptors:  Seepage, Canal seepage, Irrigation  districts, Irrigation,  Canals.

Seepage and operational losses  from distribution  systems are continuing problems
for designers and managers of  irrigation districts and for water users.  The
designer must provide sufficient capacity in the  canals to allow for these losses,
and the managers must divert extra water into parts of the system to assure ample
flow  to the lower reaches of all laterals.  The water users must provide for  ample
storage to offset problems that arise if seepage  losses cause high water tables
in fields adjacent to the canal.  As demands increase on all the water  supplies
of the West, regional and state resource management agencies are looking critically
at the large volumes of water  diverted by agriculture, especially when  these  vol-
umes  are much larger than the  amounts used in evapotranspiration.  These agencies
need  guidelines  for more  accurately determining reasonable water diversions to
irrigated agriculture.  A simplified method that  engineers and resource planners
can use  to estimate seepage  losses from new or existing canal systems is presented.
 76:04A-011
 LEAST COST  IRRIGATION SYSTEM SPECIFICATIONS FOR VARIOUS CONDITIONS,
 Busch,  J.R.
 Idaho University,  Department of Agricultural Engineering,  Moscow,  Idaho.
 Paper No. 76-2038,  Presented at the Annual Meeting of the  American Society of
 Civil Engineers,  June 27-30, 1976,  Lincoln, Nebraska, 3 fig,  7  tab,  4  ref.

 Descriptors:  Model' studies. Simulation analysis,  Optimization,  Irrigation systems,
 Economics,  Irrigation efficiency.  Water costs.

 A methodology employing a dynamic-linear programming model was  used  to develop
 optimum rehabilitation plans for an irrigation district.   The plans  developed
 indicate the total irrigation system cost and configuration for various levels
 of  efficiency and water cost.


 76:04A-012
 CRITICAL IRRIGATION MANAGEMENT DECISIONS,
 Corey,  F.C.                                        ;
 Agricultural Technology Company, McCook, Nebraska.
 1976 Annual Technical Conference Proceedings, Sprinkler Irrigation Association,
 Technology  for  a  Changing World, February 22-24, 1976, Kansas City,  Missouri,
 p 146-162.  3 fig,  5 ref.

 Descriptors:  Sprinkler irrigation, Irrigation, Furrow irrigation, Flood  irriga-
 tion. Irrigation  systems,  Irrigation practices, Crop production, Irrigation
 efficiency.

 With increasing land development and the millions  of acreage already under sprink-
 ler and gravity irrigation it is to the farmers interest (economically) to have
 a good  engineered irrigation system and see that it is managed  and operated  in
 the most efficient manner to obtain maximum yields at the  least cost.  This  irri-
 gation  system includes planning, development, maintenance  and management  ot  tne
                                              167

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well, the pumping system, and the sprinkler or distribution  system.   This  paper
will be limited to sprinkler irrigation and pertain to:  (a)  brief  introduction to
Ag Technology Co, (b) agricultural production, design and management  problems
observed by this company over the last five to ten years,  (c)  irrigation manage-
ment techniques necessary to make critical irrigation decisions, and  (d) any pos-
sible future trends and techniques necessary to management of  our  resources  at
an optimum level.


76:04A-013
OPERATION AND MAINTENANCE OF IRRIGATION AND DRAINAGE SYSTEMS:  SECTION IV.	
MAINTENANCE,
The Committee of Operation and Maintenance of Irrigation and Drainage Systems
of the Irrigation and Drainage Division,
American Society of Civil Engineers,
Journal of the Irrigation and Drainage Division, Vol. 102, No. IRl, p 1-107,  March
1976. 30 fig, 3 tab, 43 ref.

Descriptors:  Irrigation operation and maintenance. Irrigation, Irrigation canals,
Irrigation ditches,  Irrigation effects, Irrigation systems, Drainage  effects,
Drainage practices.  Drainage systems, Drains, Salinity.

The subject of maintenance is treated in this manual by a discussion  of the  factors
essential to keeping the facilities of an irrigation and drainage  system in  good
condition, the staff necessary to accomplish the work and that staff's responsibil-
ity, and common practices and procedures used for the maintenance  of  structures
and facilities pertinent to such systems.   The irrigation systems  referred to  in
this section, are those generally associated with the movement of  water from its
source to the user and which are prevalent in arid and semi-arid areas.  The
drainage systems are those in which seasonal removal of water is normally a  neces-
sity, due to possible water-logging of the soil, or the buildup of salts in  it.
The system involved may be an essential part of an irrigation system  in an arid
or semi-arid area or one of the larger and more extensive systems  located in the
semi-humid or humid areas.


76:04A-014
AUTOMATION OF AN OPEN-DITCH IRRIGATION CONVEYANCE SYSTEM UTILIZING TILE OUTLETS,
Erie, L. J., and Dedrick, A.R.
United States Department of Agriculture, Agricultural Research Service, United
States Water Conservation Laboratory, 4331 East Broadway, Phoenix, Arizona 85040
Paper No. 76-2050, Presented at the 1976 Annual Meeting of the American Society
of Agricultural Engineers, June 27-30, 1976, Lincoln, Nebraska, 14 p.  5 fig, 5 ref.

Descriptors:  Irrigation, Irrigation practices, Irrigation systems, Automation,
Basins.

An irrigation system on a 28.4 ha (70 acre) field divided into seven dead-level
basins, irrigated from a centrally-located concrete-lined canal, using modified
cylinders on jack-gates and structures utilizing air pillows or bellows, was
automated by use of pneumatic controls.  A structure was designed  that would
contain items pertinent to automation, so that turning the water into the field
and shutting it off would be automatically accomplished according  to  a predeter-
mined time schedule.
                                            168

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                                  SECTION XX


                      WATER QUANTITY MANAGEMENT AND CONTROL

                       GROUNDWATER MANAGEMENT  (GROUP  04B)


76:04B-001
AQUIFER MANAGEMENT UNDER TRANSIENT AND STEADY-STATE CONDITIONS,
Alley, W.M., Aguado, E. , and Remson, I.
Stanford University, Department of Applied Earth Sciences, California.
Water Resources Bulletin, Vol. 12, No. 5, p 963-972,  October 1976.  4 fig, I
tab, 7 ref.

Descriptors:  *Aquifers, *Management, *Groundwater, *Linear programming,
*0ptimization. Wells, Distribution, Pumping, Decision making, Methodology,
Constraints, Mathematical models, Equations, Systems  analysis.

The equations of transient and steady-state flow in two-dimensional artesian
aquifers are approximated using finite differences.   The resulting linear dif-
ference equations, combined with other linear  physical and management constraints
and a linear objective function, comprise a linear programming  (LP) formulation.
Solutions to such LP models are used to determine optimal well distributions and
pumping rates to meet given management objectives for a hypothetical transient
problem for a steady-state field problem.


76:048-002
DRAWDOWN DUE TO PUMPING IN AN ANISOTROPIC AQUIFER,
Glover, R.E., and Moody, W.T.
Colorado State University, Department of Civil Engineering, Fort Collins,
Colorado.
Water Resources Bulletin of the American Water Resources Association, Vol. 12,
No. 5, p 941-950, October 1976.  3 ref, 1 append.

Descriptors:  *Water wells, *Aquifers, *Drawdown, *Pumping, Permeability,
Artesian wells.

Formulas for water table or pressure drawdowns due to wells drawing water from
isotropic aquifers can be modified for use where the  aquifer is nonisotropic.
The cases treated are those for a well drawing water  from an aquifer at a con-
stant rate, for a well drawing water at a constant rate from an aquifer with a
'leaky roof, and for the flowing artesian well.  In  all cases the well is
considered to completely penetrate the aquifer.  The  resulting cones of depres-
sion formed from pumping an anisotropic aquifer has an oval shape.  The length
of the major and minor axes of a contour of the cone  of depression exhibit the
ratio Kx/Ky with Kx the direction of maximum permeabiltiy, and Ky in the direct-
ion ofminimum permeability, which lies at right angles to Kx.


76:048-003
A SIMULATION MODEL  FOR OPERATING A MULTIPURPOSE MULTIRESERVOIR  SYSTEM,
Sigvaldason, O.T.
Acres  Consulting  Services Limited, Niagara  Falls, Ontario, Canada.
Water  Resources Research, Vol.  12, No.  2, p 263-278,  April 1976.   8  fig,
3 tab,  40  ref.

Descriptors:   *Multiple-purpose reservoirs,  *Reservoir operation,*Simulation
analysis,  *0ptimum  development plans. Water policy, Assessment, River basins.
Reservoir  storage.  Networks,  Equations, Mathematical  models,  Systems analysis,
*Canada.

Described   is  a simulation model used  for assessing alternative operating
policies for the  Trent River  system  in  Ontario, Canada.   The  Trent basin has
numerous reservoirs  (48 were  represented  in the model).   The  reservoir  system
is used for flood control, water  supply,  hydropower,  and  augmenting  flows
through the canal system during the  summer  period.  The  need  for  assessing
alternative policies  arose from growing  conflicts  in  recent years ov«  satisfy-


                                              169

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ing all of the many water-based needs of the basin.  The simulation model aided
in assessing the impact of alternative policies.  Every reservoir was subdivided
into five storage zones (variable temporally).  A time-based rule curve was
prescribed to represent ideal reservoir operation.  Ranges were prescribed for
channel flows, which were dependent on water-based needs.  The underlying con-
cept of the model was the mathematical representation of the chief operator's
perception of "optimum" operation and the derivation of this solution using a
nested optimization submodel.  "Penalty coefficients" were assigned to those
varables which represented -deviations from ideal conditions.  Different opera-
tional policies were simulated by representing the entire reservoir system in
"capacitated network" form and deriving optimum solutions for individual time
periods with the "out-of-kilter" algorithm.  The algorithm was computationally
efficient, simplified model development, and permitted flexibility in readily
using the model for a wide range of reservoir configurations and operating
policies.


76:04B-004
FIELD DRAINAGE WITH MANIFOLD WELL POINTS,
Rektorik, R.J.
Agricultural Research Service, Weslaco, Texas.
Transactions of the American Society of Agricultural Engineers, Vol. 19, No. 1,
p  81-84, January-February 1976.  2 fig, 4 tab, 6 ref.
(See 76:050-009)


76:04B-005
COST FUNCTIONS FOR ADDITIONAL GROUND WATER DEVELOPMENT,
Maddock, T. III.
Geological Survey, Water Resources Division, Reston, Virginia.
Water Resources Bulletin, Vol. 12, No. 3, p 539-545, June 1976.  2 tab,  9 equ,
6  ref.

Descriptors:  *Groundwater, *Water resources development, *Water rights, Costs,
Energy, Industries, Equations, Operating costs.

In.many regions of the United States, the development of new water-intensive
industries for production of energy may upset the existing water rights structure,
Such an industry is coal gasification.  This paper develops external cost
functions for determining compensation to esisting groundwater users when addi-
tional withdrawals are requested by new users.  The functions reflect increased
energy costs, and as presented, they are based on a linear relation between
drawdown and pumping.  It is assumed that the fixed cost of drilling and com-
pleting wells and the variable cost of operating wells overshadow the pipeline
company's compensatory payments.  It is also assumed that the energy costs repre-
sent the profit losses to the original users.  In conclusion, it should be noted
that compensation payment will result in costs to new users that are not trivial.


76:04B-006
MODEL-FREE STATISTICAL METHODS FOR WATER TABLE PREDICTION,
Yakowitz, S.
Arizona University, Department of Systems and Industrial Engineering, Tucson,
Arizona.
Water Resources Research, Vol. 12, No. 5, p 836-844, October 1976.  14 fig,  20
ref.  NSF GK-35915, GF-38183.

Descriptors:  *Water table, *Statistical models, *Depth, *Well data, *Arizona,
Water wells, Time series analysis. Stochastic processes, Statistical methods,
Homogeneity, Forecasting, Equations, Regression analysis. Water levels.  Aquifer
characteristics.

In this study a new approach for predicting future values of well depths on the
basis of regional water table records was presented.  Basically, well water
level depths are viewed as random sequences, and the assumption is made that
the region to be analyzed can be partitioned into several subregions of unknown
geographic shapes which are statistically homogeneous in the sense that the
record of each well in a fixed subregion is a different realization of the same
stochastic process.  Methods from clustering and time series analysis were used
to find (1)  the subregions of stochastic homogeneity, and (2) the statistical
                                             170

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law for the same series of the wells in a given  subregion.  Forecasts were made
and confidence bands constructed by using the methods  espoused here  (in con-
junction with regression techniques) on Tucson basin data.  The forecasts were
compared to depths actually observed, and,  for many wells, the agreement was
sufficient to make these new methods appear promising.


76:048-007
PUMPING-TEST ANALYSIS USING A DISCRETE TIME-DISCRETE SPACE NUMERICAL METHOD
Rushton, K.R., and Booth,  S.J.
Birmingham University, Department  of Civil  Engineering,  (England).
Journal of Hydrology, Vol. 28, No.  1, p  13-27, January 1976.  11  fig, 3 tab
10 ref.

Descriptors:  *Groundwater, *Pumping, *Numerical analysis, *Aquifer
characteristics, Wells, Computer models, Drawdown, Aquifer testing,  Sand
aquifers, Head loss, Resistance networks. Unsteady flow,  Computers,  Water wells,
Turbulence.

The application of a digital computer model of radial  flow in an  aquifer to the
estimation of aquifer parameters was considered. Pumping-test data  for a
shallow unconfined gravel  aquifer,  in which the  drawdown  recorded at the
pumped well is a significant proportion  of  the thickness  of the aquifer, were
used to test the method.   The model was  sufficiently flexible to  allow for
decrease in the saturated  thickness, vertical components  of flow, well losses
and variations of aquifer  parameters in  time and space.


76:048-008
PUMPING TEST ANALYSIS WHEN PARAMETERS VARY  WITH  DEPTH,
Rushton, K.R., and Chan, Y.K.
Birmingham University, Department  of Civil  Engineering,  (England).
Ground Water, Vol. 14, No. 2, p 82-87, March-April 1976.  5 fig,  4 ref.

Descriptors:  *Aquifer testing, *Data processing, *Depth, *Numerical analysis,
Computer models, Permeability, Storage coefficient. Aquifer characteristics,
Test wells, Limestones, Fissures  (Geologic), Fracture  permeability.  Pumping,
Drawdown, Observation wells.

The analysis of pumping tests for  the same  borehole but with different rest
water levels may lead to significantly different values of aquifer parameters.
A numerical method of pumping-test analysis was  introduced in which  the
permeability and storage coefficient can take different values depending on
the current saturated depth.  By introducing varying values of permeability and
storage coefficient, the numerical model was used to represent pumping tests in
a soft limestone aquifer.


76:04B-009
SHALLOW AQUIFERS RELATIVE  TO SURFACE WATER, LOWER NORTH PLATTE RIVER VALLEY,
WYOMING,
Herrmann, R.
United States Department of the  Interior, National Park Service,  Southeast
Region, Altanta, Georgia.
Water Resources Bulletin,  Vol.  12,  No.  2, p 371-380, April 1976.  6  fig, 1 tab,
5 ref.

Descriptors:  Ground water, Wyoming, Aquifers, Irrigation, Irrigation effects.
Pumping, Pumping plants, Model  studies,  Numerical analysis, Groundwater
recharge, Water resource,  Alluvial aquifer.

The occurrence of ground water  in  the  lower North Platte  Valley,  Goshen County,
Wyoming was studied to determine safe yield within the alluvial aquifer under
varying discharge and recharge conditions.  The  alluvium  of the North Platte
is extensively developed for irrigation  purposes and the  effects  of  large-scale
pumpage'are of major concern.  Actual withdrawals are  estimated to be 46,000
acre-feet.  Should pumping reach potentially higher  levels an overdraft is
expected.  Effect of ground water  withdrawals  are established from projections
of the flow regime within  the alluvial aquifer.   A time dependent, numerical
                                             171

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model was employed to predict aquifer response to increased withdrawals.   The
results suggest that more efficient use of surface waters and/or increased use
of ground water will reduce the annual subsurface return flow to the North Platte
River and its tributaries by an amount equal to the reduced groundwater increment.
Alternatives are available for management of the lower North Platte alluvial
aquifer.  The preferred course is to correlate surface and subsurface water
rights, in light of convenience, economics, and best means of storage for  maximum
utilization of the single water resource.


76:04B-010
ECONOMIC ANALYSIS OF ALTERNATIVE GROUNDWATER WITHDRAWAL RATES IN CONJUNCTION
WITH SURFACE WATER IRRIGATION,
Feldman, M., Whittlesey, N.K., and Butcher, W.R.
Washington State University, Pullman College of Agriculture.
Washington Water Research Center, Pullman, Report No. 27, September 1976.   126 p,
5 fig, 28 tab, 1 ref, append.  OWRT B-051-WASH(2).  14-31-0001-3945.

Descriptors:  Groundwater, *Withdrawal, *Conjunctive use, *Irrigation, Aquifers,
*Economics, *Groundwater mining, *Input-output analysis. Water level.

Eastern Washington is experiencing rapid decline in groundwater levels due  to
irrigation pumping of the essentially fixes stock of groundwater.  This study
develops a conceptual framework for comparing economic factors of the present
management policy to avoid exceeding a 10 foot per year decline in the static
water  level with alternative policies allowing greater decline rates or augmenting
the water supply with surface water diverted from the Columbia River.  A well cost
model  was developed to provide estimates of water costs for every potential well
in the study area under alternative rates of water level decline.  A computer
model  of the groundwater aquifer was utilized to provide estimates of the amount
and location of the water that could be withdrawn from the aquifer while
remaining within the limits of any management policy.  An agricultural model
 (utilizing linear programming) calculated discounted net returns to agriculture,
including nonirrigated agriculture, over a 50 year period.  An input-output
model  was used to estimate the secondary economic impacts of additional irriga-
tion development that could result from alternative management policies.  Results
showed that the actual depth from which water may be pumped depends heavily upon
the rate of decline and the static water level.  If water levels are relatively
stable, water may be economically pumped from considerable depths.  Rapid decline
rates  in the static water level will reduce the absolute depth at which water may
be pumped economically.  The results indicate that some economic gains would
accure to irrigated farms and the local economy under policies which encourage
more water use.  However, the economic gains are proportionately much less than
the changes in water use required to induce the economic gain.


76:043-011
DESIGN OF GROUNDWATER LEVEL OBSERVATION-WELL PROGRAMS,
Heath, R.C.
Geological Survey, Water Resources Division, Raleigh, North Carolina.
Ground Water, Vol. 14, No. 2, p 71-77, March-April 1976.  4 fig, 2 tab.

Descriptors:  Observation wells, *Network design, Hydrologic data. Discharge
measurement, Recharge, Measurement, Aquifers, Data collections. Water level
fluctuations, Water wells, *Withdrawal, *Groundwater recharge.

Data obtained from observation-well programs are used to determine:  (1) the
effect of withdrawals on recharge and natural discharge conditions, (2) the
hydraulic characteristics of groundwater systems, and (3) the extent and degree
of confinement of aquifers.  Wells in these programs can be divided into three
networks:  (1)  a hydrologic network which includes wells needed to determine the
extent of aquifers and changes in storage; (2)  a water-management network-which
includes wells needed to determine the effect of withdrawals and hydraulic
characteristics;  and (3) a baseline network which includes wells needed to
determine the response of groundwater systems to natural changes such as .those
related to climate.
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                                 SECTION XXI

                      WATER QUANTITY MANAGEMENT AND CONTROL

            EFFECTS ON WATER OF MAN'S NONWATER ACTIVITIES  (GROUP 04C)


76:04C-001
WATER YIELDS RESULTING FROM TREATMENTS ON THE WORKMAN CREEK EXPERIMENTAL WATER-
SHEDS IN CENTRAL ARIZONA,
Rich, L.R., and Gottfried, G.J.
Rocky Mountain Forest and Range Experiment Station, Temple, Arizona.
Water Resources Research, Vol. 12, No. 5, p 1053-1060, October 1976.  8 fig,
2 tab, 12 ref.

Descriptors:  *Water yield improvement, *Watershed management, *Arizona, Water
supply, Water yi&ld, Hydrology, Streamflow, Sedimentation, *Forest watersheds,
Burning, Lumbering, Grasses waterways, Pine trees, Surface runoff, Ponderosa
pinetrees. Instrumentation, Coniferous forests.

The three Workman Creek watersheds were instrumented to determine the hydrology
of mixed conifer forests and to determine the changes in Streamflow and sediment-
ation as a result of manipulating the forest vegetation.  A small riparian cut
on North Fork did not increase water yield.  A selection timber harvest, improve-
ment cut, and fire which removed 45% of the basal area on South Fork increased
water yields slightly.  In contrast, converting 32.4 ha  (80 acres) of moist for-
est site to grass significantly increased water yields on the 100.4 ha  (248 acre)
North Fork watershed.  Water yields were increased even more after 40.5 ha  (100
acres) of dry-site pine forest were converted to grass.  An increase of 69 mm
 (2.70 inches), or 84%, of expected runoff resulted from the combined treatment.
Clearing 83% of the South Fork watershed preparatory to planting ponderosa pine
significantly increased water yields by 93 mm  (3.67 inches), or by 111%.
                                             173

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                                 SECTION XXII

                      WATER QUANTITY MANAGEMENT AND CONTROL

                        WATERSHED PROTECTION (GROUP 04D)


76:040-001
LABORATORY TESTING OF WATER-REPELLENT SOIL TREATMENTS FOR WATER HARVESTING,
Fink, D.H.
Agricultural Research Service, Water Conservation Laboratory, Phoenix, Arizona.
Soil Science Society of America Journal, Vol. 40, No. 4, p 562-566, July-August
1976.  3 fig, 2 tab, 13 ref.

Descriptors:  *Repellents, *Water harvesting, *Laboratory tests, *Soil treatment^
Watersheds  (Basins), Soils, Water conservation, Arid lands. Erosion, Weathering,
Stabilization, Soil stabilization,  Soil science.

Field testing of repellents for water harvesting is both slow and costly, often
hindering the orderly, rapid progression of the technique.  Laboratory tests
were developed for rapidly evaluating the effectiveness of water-repellent treat-
ments on soils.  The effect of accelerated weathering from ultraviolet radiation,
ozone, and freeze-thaw cycling on the retention of water repellency and on soil
stability was studied.  The effect  on soil stability of prolonged hydration and
water erosion was also considered.   Using these laboratory tests, numerous soils,
organic materials, and' treatment techniques can be quickly evaluated so that
field testing can be reserved for only the most promising.  A small, representa-
tive laboratory study, reported here to illustrate the technique, showed that
two repellents (a petroleum resin dust-suppressant oil and paraffin wax)  when
combined made soil generally more resistant to  total weathering effects than
did either repellent alone.  The dust suppressant helped to stabilize the soil
against damage by freeze-thaw cycling, while the wax protected it from degrada-
tion by ultraviolet radiation.  These laboratory results compared favorably with
observations form field plots treated with these two repellents.


76:040-002
EFFICIENCY  OF NITROGEN, CARBON, AND PHOSPHORUS RETENTION BY SMALL AGRICULTURAL
RESERVOIRS,
Gill, A.C., McHenry, J.R., and Ritchie, J.C.
Agricultural Research Service, Sedimentation Laboratory, Oxford, Mississippi.
Journal of  Environmental Qualiry, Vol. 5, No. 3, p 310-315, July-September 1976.
3 tab, 29 ref.
(See 76:02J-002)


76:040-003
A COMPARISON OF MODELING AND STATISTICAL EVALUATION OF HYDROLOGIC CHANGE,
Langford, K.J., and McGuinness, J.L,
Melbourne and Metropolitan Board of Works, Australia.
Water Resources Research, Vol. 12,  No, 6, p 1322-1324, December 1976.  1 fig,
12 ref.

Descriptors:  *Forest management, *Watersheds  (Basins), Hydrology,  *Statistical
models, *Model studies. Mathematical models, Reforestation, *Watershed manage-
ment. Lumbering, Surface runoff, Water yield, Runoff, Vegetation effects.

The U.S. Department of Agriculture Hydrography Laboratory model of  watershed
hydrology is adapted for use on a research watershed where land use changed
drastically as a result of reforestation and subsequent thinning.   Eight years
of measured runoff from a mature forest are used to estimate two of the mode"!
parameters;  the remaining 39 are based on physical measurements,  Model simula-
tions properly evaluated both the magnitude and statistical significance of the
hydrologic changes with much fewer data than were needed for standard statistical
analyses.
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76:040-004
SOIL AND WATER CONSERVATION WITH WESTERN  IOWA TILLAGE  SYSTEMS
Spomer, R.G., Piest, R.P., and Heinemann,  H.G.                '
Agricultural Research Service, North  Central  Watershed Research  Center,  Council,
Bluffs, Iowa.                                                                   '
   ™        °f the A"16"0311  Society  of  Agricultural  Engineers,  Vol.  19, No   1
p 108-112, January-February 1976.   2  fig,  3  tab,  11 ref?

Descriptors:  *Soil conservation,  *Water conservation,  *Erosion  control, Culti-
vation, *Farm management,  *Iowa, Runoff, Precipitation  (Atmospheric) , Rainfall,
Crops, Corn  (Field), Grasses, Terracing, Erosion  rates, Cultivated  lands, Sheet
erosion, Soil erosion. Watersheds (Basins) , Agricultural watersheds. Agricultural
runoff. Agriculture.

Excessive rates of surface runoff  and erosion from the  research  watersheds at
Treynor, Iowa, were measured  during a 10-yr  study of  two  contour-planted water-
sheds cropped to corn.  Low erosion rates  occurred at a similarly cropped level-
terraced watershed and from a bromegrass watershed.   These measurements showed
that level terraces and bormegrass are exceptionally  effective conservation
practices.   But level terraces  with point  rows and irregular  fields complicate
farming and  decrease farm  machinery efficiency, and grass is  not considered one
of the more  profitable crops  for western Iowa loess soils.  Mulch- tilled corn
was also examined to assess its effect on  surface runoff  and  soil loss. On one
watershed, mulch tillage was  used  with parallel terraces  (double normal spacing).
The terrace-impounded water was removed  by an underground drainage  system, in-
stalled in the spring of 1972.  The contour-planted watersheds lost more soil
than the mulch-tilled, parallel-terraced watershed in 1972.


76:040-005
CURRENT METHODS USED IN THE SOIL CONSERVATION SERVICE TO  ESTIMATE SEDIMENT YIELD,
Nicholas, E.G.
Soil Conservation Service, Fort Worth, Texas.
Paper No. 76-2532, American Society of Agricultural Engineers 1976  Winter
Meeting, Chicago, Illinois, 8 p, December  14-17,  1976.   2 fig, 7 ref.

Descriptors:  *Sediment yield,  *Sedimentation rates,  *Soil conservation,
*Estimating, Forecasting,  Equations,  Erosion, Soil erosion.  Suspended load,
Deposition  (Sediments), Methodology,  Reservoirs,  Land management, Farm
management,  Aerial photography, Curves.

The  four basic procedures  currently used in  the Soil  Conservation Service to
estimate  sediment yield depending  on  the environment  and  available  data are:
 (1)  gross erosion and  sediment  delivery  ratio estimates,  (2)  predictive
equations,  (3) suspended  sediment  load measurements,  and  (4)  sediment accumula-
tion measurements.   For verification, it is  desirable to  use more than one
method .


76:040-006
STOCHASTIC APPROACH  TO THE COLORADO RIVER  BASIN,
Lane, W.L.,  Gibbs, A.E., and  Main, R.B.
Water Utilization Section, Bureau  of  Reclamation, Denver, Colorado
Presented at the National  Water Resources  and Ocean Engineering  Convention of the
American Society of  Civil  Engineers,  25  p, April  5-8, 1976,  San  Diego, California.
4 fig, 1 tab,  6 ref.

Descriptors:  Hydrology, Rivers, River basins, River  systems, Dissolved solids,
Water quality, Colorado river,  Colorado  river basin,  Salinity.

The  stochastic approach to hydrology  may be  successfully  applied to large river
basins with  several  interdependent tributary inflows.  Quality,  specifically  total
dissolved solids, may be successfully generated jointly with flow.   In actual
application  to the Colorado River  Basin, results  were obtained which  are valuable
for planning and evaluation purposes. By  using stochastically generated flows and
qualities, it is found that the effects  of various structural or nonstructural
measures in  the basin may  be  more  realistically assessed  under a variety of poten-
tial future  flow and salinity conditions.   If the measures had been analyzed  with
                                              175

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the set of historical flows and salinities, the assessment would have been incom-
plete and biased.  This approach is expected to be applicable to other basins
with similar success.
                                            176

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                                  SECTION XXIII

                     WATER QUALITY  MANAGEMENT AND PROTECTION

                     IDENTIFICATION  OF  POLLUTANTS (GROUP 05A)


76:05A-001
EVALUATION OF METHODS FOR PRESERVING THE LEVELS OF SOLUBLE INORGANIC  PHOSPHORUS
AND NITROGEN IN UNFILTERED WATER SAMPLES,
Klingaman, E.D., and Nelson,  D.W.
Purdue University, Agricultural  Experiment Station,  Lafayette,  Indiana.
Journal of Environmental  Quality, Vol.  9,  No. 1, p 42-46,  1976.   3  tab,  11 ref
 (See 76:07B-006)


76:05A-002
REGIONAL CHARACTERISTICS  OF THE  TOTAL  DISSOLVED MINERALS IN STREAM  WATERS IN
ILLINOIS,
Flemal, R.C., and Nienkerk, M.M.
Northern Illinois University,  Department of Geology,  DeKalb,  Illinois.
Water Resources Bulletin, Vol.  12,  No.  3,  p 501-509,  June 1976.   2  fig,  4 tab,
10 ref.  S-046-ILL.

Descriptors:  *Water chemistry,  *Chemical analysis,  *lllinois,  *Dissolved solids,
*Natural streams, *Mineralogy, Analytical techniques.  Water analysis, Water
quality, Water properties •, Streams, Rivers, Surface  waters. Urban runoff,
Sulfates, Carbonates, Geology, Water pollution sources, Regions.

Using water analyses from 67  gaging stations, discharge-frequency-weighted mean
concentrations and average annual yield per unit area were determined for the
total dissolved mineral content  of  Illinois streams.   The resultant data indi-
cated that total dissolved mineral  contents are controlled by regional rather
than local factors.  In most  cases, plausible explanation for the magnitudes
could be found in regional patterns of natural and demographic  conditions.
Although the data suggested that total dissolved minerals are increasing, the
relative contributions of natural versus anthropogenic phenomena  were difficult
to delimit at this level  of investigation.


76:05A-003
A SIMPLE TUBE-TYPE WATER  PROFILE SAMPLER,
Gilbert, R.G., and Miller, J.B.
Agricultural Research Service, Water Conservation Laboratory, Phoenix, Arizona.
Water Resources Research, Vol. 12,  No.  4,  p 812-815,  August 1976.   1  fig, 3 tab*
5 ref.

Descriptors:  *Instrumentation,  *Sampling,  *Plastics,  Farm ponds, Irrigation
canals, Lakes, Ponds, Dissolved  oxygen analyzers,  Chemical analysis,  Tubes,
Water sampling, Agriculture,  Pollutant identification.

A plexiglass tube-type water  profile sampler was designed  for use in  relatively
shallow bodies of water,  such as farm  ponds,  small recreational lakes, irrigation
canals, and the surface 2 m of larger  lakes and rivers.   The  sampler  was a plex-
iglass tube with holes drilled at intervals (side ports)  corresponding to water
layers which were to be sampled.  To obtain a water  sample,  the tube  (open at
both ends and with the side ports closed)  was gently  lowered  vertically  into the
water.  With the top stoppered,  the tube was raised and its bottom  stoppered
just under the water surface.  While the tube was held vertically,  the water
profile samples were rapidly  and easily obtained after removing the top  stopper
and successively collecting from top to bottom the water sample from  each side
port.  Dissolved oxygen (DO)  profiles  of the ponds measured with  an oxygen probe
directly in the ponds were similar  to  DO profiles  of  water samples  collected
with the tube sampler.  Chemical  and biological analyses of water samples ob-
tained with the tube-type sampler and  two  other standard type water samplers
(Kemmerer and Van Dorn)  were  compared.   The analyses  revealed that  similar
relative results were obtained from water  samples  collected with  all  three sam-
plers,  but the tube-type  sampler was more  desirable for obtaining water  profile
samples because of its simplicity of design and operation  especially  in  small
ponds.
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76:05A-004
A NOTE ON AN IN SITU GROUNDWATER SAMPLING PROCEDURE,
Spalding, R.F., Exner, M.E., and Gormly, J.R.
Nebraska University, Division of Natural Resources, Conservation and Survey,
Lincoln, Nebraska.
Water Resources Research, Vol. 12, No. 6, p 1319-1321, December 1976.  2 fig,
1 ref.

Descriptors:  *Sampling, *Samplers, *Groundwater, Water pollution, Well casings,
*Pollutant identification.

In situ groundwater sampling can be a relatively economical procedure for measur-
ing time, spatial and vertical changes in groundwater quality.  The sampling
technique cited allows large samples  (1.1 liters) to be collected from a 2 foot
vertical interval of the groundwater column.  This sampling technique allows the
quantification of the nature of groundwater contamination and allows for inter-
pretation of  areal  sources and the extent of contamination.


76:05A-005
DETECTION OF TRENDS IN WATER QUALITY DATA FROM RECORDS WITH DEPENDENT
OBSERVATIONS,
Lettenmaier, D.P.
Washington University, Department of Civil Engineering, Seattle, Washington.
Water Resources Research, Vol. 12, No. 5, p 1037-1046, October 1976.  11 fig,
3 tab, 12 ref, 1 append.  NSF BMS74-20744.

Descriptors:  *Water quality, *Time series analysis, *Statistical methods,
Analytical techniques, Statistics, Data processing, Monte Carlo method, Markov
processes, Temperature, Water temperature. Suspended solids, Conductivity, Water
pollution. Pollutants, Model studies.

Classical statistical tests for trend, both parametric and nonparametric, assume
independence of observations, a condition rarely encountered in time series
obtained by using moderate to high sample frequencies.  A method was developed
for summarizing the power of the parametric t tests, the nonparametric Spearman's
rho test, and Mann-Whitney's test against step and linear trends in a dimension-
less  "trend number" which is a function of trend magnitude, standard deviation
of the time series, and sample size.  For the case of dependent observations,
use of an equivalent independent sample size rather than the actual sample size
was shown to enable use of the same trend number developed for the independent
case.  An important related result is the existence of an upper limit on power
 (trend detectability) over a fixed time horizon, regardless of the number of
samples taken, for a lag 1 Markov process.


76:05A-006
DESIGN AND OPTIMIZATION OF GROUNDWATER MONITORING NETWORKS FOR POLLUTION STUDIES,
Pfannkuch, H.O., and Labno, B.A.
Minnesota University, Department of Geology and Geophysics, Minneapolis.
Ground Water, Vol. 14, No. 6, p 455-462, November-December 1976.  6 fig,  2 tab,
5 ref.

Descriptors:  *Network design, *Water pollution, *Groundwater, *Monitoring,
Waste disposal. Waste dumps. Networks, Planning, Wells, Observation wells,
Sampling, Leachate, Chemical analysis, Water pollution, Pollutants, Geology,
Leaching, Aquifers, Hydrogeology.

The successful design and operation of a groundwater monitoring and surveillance
system were based on a stepwide process of obtaining hydrogeologic information.
Because of the inherent uncertainty and inhomogeneity of natural hydrogeological
systems, the true monitoring network cannot be specified before some basic
knowledge about system configuration and dynamics is known.  Forethought,
planning, and incorporation of design criteria as part of the initial phase
of project management establishes the monitoring network strategy-  Optimization
of the monitoring network takes place through the completion of the following
five phases:  (1) preliminary network design and information gathering,
(2)  initial installation and testing, (3) completion and verification,
(4)  operational, and  (5) project termination.  Experience gained from monitoring
                                             178

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the conditions at the University of Minnesota's chemical and special waste
disposal site resulted in the design  and  optimization procedure.   Concern for
possible groundwater contamination led  to analysis  of surface and  subsurface,
physical and chemical conditions.  Subsequently,  a  monitoring system was
established to meet project objective.  No degradation of the groundwater
was found during the five-year  study.


76:05A-007
MONITORING GROUND-WATER QUALITY NEAR  A  SANITARY LANDFILL,
Kunkle, G.R., and Shade, J.W.
Earthview, Incorporated, Toledo, Ohio.
Ground Water, Vol. 14, No. 1, p 11-20,  January-February 1976.  8 fig,  2 tab,
18 ref.

Descriptors:  *Water quality, *Groundwater, *Landfills, *Leachate,  *Monitoring,
*Michigan, Groundwater Movement, Water  pollution, Sulfur bacteria,  Carbonates,
Chemical Degradation, Reduction (chemical), Oxidation-reduction potential, Path
of pollutants, Pollutants.

At the Ragman Road Landfill refuse is buried in lacustrine and glacial till
deposits consisting mainly of silty clays.  These clays overlie a  thick carbonate
aquifer used locally for water  supply.  The dominant direction of  groundwater
flow is vertically down.  Time  of groundwater travel from the refuse to the
aquifer was estimated at 12 years, putting first arrivals in 1978.  Water quality
monitoring of bedrock waters showed decreases in total dissolved solids,
sulfates, calcium, magnesium, chlorides,  and total  hardness with increases in
alkalinity to exist locally beneath the landfill.   The principal chemical
reaction felt to explain some,  but not  all, of the  water quality changes in
sulfate reduction.  Theoretical geochemical modellings helped to support this
interpretation.  The landfill was hypothesized to have either triggered or
accelerated sulfate reduction by creating the reducing environment.


76:05A-008
PROBLEMS IN PREDICTING AND MEASURING  SOLUTE CONCENTRATIONS IN IRRIGATED FIELDS,
Jury, W.A., Fluhler, H., and Stolzy,  L.H.
California University, Department of  Soil Science and Agricultural Engineering,
Riverside, California.
Proceedings of the International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20, 1976, p 246-263. 11 fig, 4 tab, 5 ref.

Descriptors:  Salinity, Salts,  Root  zone, Irrigation practices, Simulation anal-
ysis, Model studies.

The observed variation in salt  concentration found  between sensors at  comparable
depths has been shown to be influenced  far more by  avriability in  the  water up-
take distribution than by changes in  the  assumed conductivity of the soil or by
input variations.  This places  severe restrictions  on simulation of water and
salt movement within the root zone.   At the same time, however, it suggests
that calculation of material transport  below the root zone may not be  as severely
limited by uncertainty in the soil transport coefficients as had previously been
suggested, provided that one can obtain reliable estimates of input water volumes
and plant and soil evaporation. Finally, the period of transition between new
and old irrigation management can be  quite long,  during which time reliance on
soil sensors to provide feedback for  irrigation levels is likely to cause great
errors.


76:05A-009
WATER QUALITY AND RETURN FLOW STUDY OF  THE OAHE UNIT, SOUTH DAKOTA,
Keys, J.W., III.
United States Bureau of Reclamation,  Engineering and Research Center,  Colorado
River Water Quality Office.
Proceedings of the International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20, 1976, p 109-126. 3 fig, 2 tab, 6 ref.

Descriptors:  Water quality, Return  flow, South Dakota, Simulation analysis,
Seepage, Dissolved solids, Water quality  control.
                                              179

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The Oahe Unit of the Pick-Sloan Missouri Basin Program will provide Missouri River
water for the irrigation of 190,000 acres of land in the James River  Valley of
South Dakota.  Computer simulation studies of the operation of the Unit  were con-
ducted to estimate the quantity, quality, and timing of irrigation return  flows
and determine their effects on the James River.  This analysis included  detailed
investigations of the irrigation water and lands to be irrigated, the major aug-
mentation releases of water to the James River, natural flow of  the river,  and
operation of project features for storage and regulation of water for irrigation
of the Unit.  Under natural conditions, total dissolved solids  (TDS)  levels of
James River streamflow are relatively high, averaging about 786  mg/1  at  Huron.
Study results show that TDS levels of the river could be maintained below  1,000 .
mg/1  (current South Dakota water quality standard for the river  reach immediately
below the project) during the irrigation season, but concentrations during  the
winter season would frequently exceed that level.  Streamflow would be stabilized,
however, eliminating very low and highly concentrated flows.
76:05A-010
EFFECTS OF IRRIGATION LEACHING MANAGEMENT ON RIVER AND SOIL WATER SALINITY,
Saurez, D.L., and Rhoades, J.D.
United States Salinity Laboratory, Riverside, California.
Proceedings of the International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20, 1976, p 95-108. 5 tab, 8 ref.

Descriptors:  Irrigation, Irrigation systems, Irrigation efficiency, Soil water,
Groundwater, River systems, River basins, Leaching, Salinity, Saline water.

Information about the effects of irrigation management on the changes in river
water, soil water, and groundwater quality associated with successive downstream
water  diversion for representative types of river waters is provided.  The depos-
ition  of CaC03 and gypsum in entire river basins as a function of leaching frac-
tion is also considered.


76:05A-011
MANAGING SALINE WATER FOR IRRIGATION,
Texas  Tech University, International Center for Arid and Semi-Arid Land Studies,
Lubbock, Texas.
Proceedings of the International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20, 1976. 618 p.
(see 76:05C-002)


76:05A-012
VARIOUS INDICES FOR EVALUATING THE EFFECTIVE SALINITY AND SODICITY OF IRRIGATION
WATERS,
Oster, J.D., and Rhoades, J.D.
Unites States Salinity Laboratory, Riverside, California
Proceedings of the International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20, 1976, p 1-14. 5 fig, 2 tab, 20 ref.

Descriptors:  Irrigation water, Salinity, Saline water, Simulation analysis,
Model  studies.

The salinity and sodicity haze—ds of irrigation water were evaluated by several
methods including residual sodium carbonate, pHc * and a computer cumulation of
gypsum and aragonite precipitation based on an assumed water uptake and PC02
distribution through the root zone.  No useful correlation was found between the
computer predicted relative calcium and bicarbonate precipitation and residual
sodium carbonate.   A correlation of r as similar or equal to 0.7 was found for
pHc*.   Relative calcium precipitation was correlated, r as similar or equal to
0.8, with (CCa)(CS04), where C is concentration (meq/1) in the irrigation water,
when the product exceeded 30.  The SAR's calculated from pHc* and the simulation
model,  for the soil surface and bottom of the root zone, were also correlated,
r is equal to 0.99.
                                             180

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76:05A-013
WATER QUALITY FOR AGRICULTURE,
Ayers, R.S., and Westcot,  D.W.
California University, Department of Land,  Air,  and Water Resources,  Davis,
California
Proceedings of the  International  Salinity Conference,  Texas Tech University
Lubbock, Texas, August 16-20,  1976,  p 400-431.  4 tab,  73 ref.

Descriptors:  Water quality, Agriculture, Crop production, Salinity,  Soil  water,
Saline soil, Saline water,  Leaching, Sodium,  Water supply.

Salinity is discussed from the standpoint of  a reduction in soil water availability
to crop.  Updated crop tolerance  tables for salinity of soil or of applied water
are presented.  The newer  leaching requirement concept of achievable  represents
a considerable water saving as compared to the older LR procedures.   Soil  perme-
ability problems are associated with waters having either exceptionally low  salin-
ity or high sodium. Excessive sodium is evaluated through a modification  of the
sodium adsorption ratio  (SAR), now termed 'adjusted SAR'.  Specific ion toxicities
are related to the  effects of  boron, sodium or chloride on sensitive  crips.   A
few other effects are listed under "miscellaneous problems'.  This paper is  intend-
ed to provide guidance for project managers,  farm operators, and general agricul-
turalists on problems related  to  on-farm water management and should  be useful in
placing water quality effects  in  perspective  with the other factors affecting crop
production, the ultimate goal  being maximum production per unit of available water
supply.


76:05A-014
MINIMIZING THE SALT BURDEN OF  PECOS RIVER IRRIGATION DRAINAGE WATER,
O'Connor, G.A., and Cull,  C.
New Mexico State University, Department of Agronomy, Las Cruces, New Mexico
Proceedings of the  International  Salinity Conference,  Texas Tech University,
Lubbock, Texas, August  16-20,  1976, p 494-505.  9 fig,  2 tab, 5 ref.

Descriptors: Leaching, New Mexico, Lysimeters,  Irrigation, Irrigation effects.
Evaporation, Water  surface, Return flow, Drainage, Drainage effects.

A laboratory study  was  conducted  to evaluate the potential of the minimized  leach-
ing concept using  synthesized  Pecos River water on a New Mexico soil.  Nine  small
lysimeters were repeatedly irrigated at LFs of 0.1, 0.2, and 0.4 and  exposed to
very  high evaporative demands  in  an evaporation chamber especially designed  for
the study.  Results to  date (after 50 irrigations) confirm that minimized  leach-
ing results in considerable irrigation water savings and a simultaneous reduction
in drainage volume. Even after prolonged irrigation,  steady-state conditions
have  been reached  in only the  0.4 LF treatment implying that changes  in salt dis-
tribution as a result of instituting the minimized leaching program are very slow
to occur.
                                              181

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                                  SECTION XXIV

                      WATER QUALITY MANAGEMENT AND PROTECTION

                     SOURCES AND FATE  OF POLLUTION (GROUP 05B)


 76:05B-001
 SURFACE RUNOFF  LOSSES OF  FERTILIZER ELEMENTS,
 Dunigan,  E.P-,  Phelan,  R.A.,  and Mondart,  C.L.  Jr.
 Louisiana State University,  Department  of  Agronomy,  Baton Rouge,  Louisiana; and
 Louisiana Agricultural Experiment Station,  Baton Rouge,  Louisiana.
 Journal of  Environmental  Quality,  Vol.  5,  No.  3,  p  339-342,  1976.   6 tab,  9 ref.

 Descriptors:  *Nitrogen compounds,  *Phosphorus  compounds,  *Fertilizers,  *Nutrient
 removal,  *Agricultural runoff,  *Louisiana,  Nitrogen,  Ammonia,  Nitrates,  Phos-
 phates, Potassium compounds.  Leaching,  Potash,  Runoff, Water quality.  Water
 pollution,  Analytical techniques,  Surface  runoff, On-site investigations.

 Surface runoff  losses of•fertilizer N,  P,  and  K were  measured  from  a Loring silt
 loam soil with  an average slope of 5%.   Plots  seeded  to  pearl  millet in  1973 and
 1974 were fertilized at the rate of 112-49-93  kg/ha of incorporated N, P,  and K
 using two different fertilizer  blends,  a 33.3-8.7-16.6 and an  8-3.5-6.6.   The
 percent of  water-soluble  fertilizer elements  lost in  1973  from the  higher  and
 lower blend concentrations,  respectively,  were  N, 0.50 and 0.30%; P, 0.14  and
 0.06% and K,  0.67 and 0.92%.  In 1974,  N losses were  0.89  and  0.14%; P,  0.35 and
 0.20%;  and  K, 0.42 and 0.35%.   Precipitation during the  experimental periods was
 20.40 cm in 1973 and 27.69 cm in 1974.   Ryegrass  plots were  fertilized with sul-
 fur-coated  urea (SCU)  and uncoated urea (U) at  the rate  of 224 kg N/ha during
 the growing seasons of 1973  and 1974.   Total N  losses (U \s..  SCU) were  9.52 and
 0.26% in 1973,  and 1.67 and  0.42%  in  1974.  A  10.08-cm rainfall on  the third
 day, of  the  test in 1973 caused  almost three-fourths of the 9.52% N  lost  from
 the uncoated urea to be lost in that  runoff and while it was still  in the  urea
 form.  The  sulfur coating prevented large  surface losses of  N  from  the SCU.


 76:05B-002
 NITROGEN IN SUBSURFACE  DISCHARGE FROM AGRICULTURAL WATERSHEDS,
 Burwell,  R.E.,  Schuman, G.E., Saxton, K.E., and Heinemann, H.G.
 Agricultural  Research Service,  Columbia, Missouri.
 Journal of  Environmental  Quality, Vol.  5, No. 3, p 325-329.  1976.   4 fig,  3  tab,
 15  ref.

 Descriptors:  *Nitrogen,  *Subsurface  runoff, *Agricultural watersheds, *Nutrient
 removal,  *N'itrogen compounds, *Iowa,  Fertilizers, Leaching,  Nutrients, Analytical
 techniques, Percolation,  Water  quality,  Groundwater,  Nitrates,  Soil erosion.
 Water pollution sources,  Soil conservation, Runoff, Watersheds (Basins), Conser-
 vation,  Sediment discharge.

 The  nitrogen  in subsurface discharge  and surface runoff  was  measured from  four
 agricultural watersheds on Missouri Valley  deep loess near Treynor,  Iowa,  from
 April 1969  through March  1974.   The data showed that, with the agricultural
 management  practices used on the watersheds, the subsurface  discharge of water
 ranged  from 62  to  88% of  the average  annual stream flow.   Nitrate in subsurface^
 discharge accounted for 84 to 95% of  the total  average annual  soluble N discharged
 in stream flow.   A terraced watershed continuously cropped to  corn  had reduced
 surface runoff,   sheet-rill erosion, and associated nitrate-nitrogen discharge,
 but  had increased  subsurface discharge of water and soluble  N  as compared  with
 two  contoured corn watersheds.   Nitrogen fertilizer applied  at a high rate (448
 kg/ha/year)  exceeding crop needs on the terraced and  contoured watersheds,  in-
 creased five- and  threefold the  average annual  subsurface  discharge of NO3-N,
respectively, as compared with a contoured watershed  fertilized with N at  a  nor-
mal rate  (168 kg/ha/year).  Controlling the watershed discharge of  N and subse-
quent pollution of stream flow from the Iowa and Missouri  deep loess hills
requires N fertilizer application rates that do not exceed crop needs and  using
conservation practices that minimize  soil erosion and deep percolation.
                                             182

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76:05B-003
GEOLOGIC NITROGEN IN PLEISTOCENE  LOESS  IN NEBRASKA,
Boyce, J.S., Muir, J., Edwards, A.P., Seim,  E.G.,  and Olson,  R A
Nebraska University, Department of  Agronomy, Lincoln, Nebraska'
Journal of Environmental Quality, Vol.  5,  No.  3, p 93-96,  January-March  1976
3 fig, 1 tab, 15 ref.

Descriptors:  *Nitrogen, *Nitrates,  *Soil contamination,  *Nebraska,  *Soils
*Loess, Fertilization, Fertilizers,  Agricultural chemicals, Water pollution,
Leaching, Irrigation, Cores,  Soil chemical properties,  Geology,  Limestones
Shales, Groundwater.

Research into the relationship between  fertilizer  use and water quality  in
Nebraska has resulted in the  discovery  of large quantities of geologic nitrate
within the deep loess mantle  of southwestern and central  Nebraska.   The  N03(-)
was first encountered at a  depth  of about 7  m and  continued to an unknown depth
in excess of 30 m.  Nitrate-N values of 25 to 45 ppm characterized the N zone,
but values to 87 ppm have been recorded.   The N03(-)  existed  only under  the more
level uplands of the region;  however, it is  on this  plain that rapid development
of irrigation is taking place, and  it has been shown that the N03(-) has been
leached from beneath older  irrigation sites  on the plain.


76:053-004
DISPOSITION OF FERTILIZER NITRATE APPLIED TO A SWELLING CLAY  SOIL IN THE FIELD,
Kissel, D.E., Smith, S.J.,  and Dillow,  D.W.
Texas Agricultural Experiment Station,  College Station, Texas.
Journal of Environmental Quality, Vol.  5,  No.  3, p 66-71,^January-March  1976.
4 fig, 3 tab, 19 ref.

Descriptors:  *Nitrogen compounds,  *Nitrates,  *Fertilizers, *Leaching, *Soil
chemistry, Water quality, Analytical techniques, Leachate, Drainage, Nutrients,
Runoff, Subsurface drainage.  Water  pollution sources. Nutrient removal,  Water
pollution, Percolation, Infiltration, Lysimeters,  Drainage water, Grain  sorghum,
Root zone, Path of pollutants.

This study was prompted by  the present  controversy over the role that N-fertil-
izer use may have in reducing water quality.  The  objective was  to determine the
disposition of N fertilizer (enriched with 15N) applied to level (less than 2%
slope) Houston Black clay near the  economic  optimum  application  rate (112 kg N/ha)
for grain sorghum.  Particular emphasis was  placed on determining the amount of
applied N which leached below the root  zone  at different  times during and after
the growing  season.  A large, undisturbed field-drainage  lysimeter was used to
measure leaching of NO3(-)-N  below  the  root  zone.  During spring 1973, 94 mm of
drainage water containing a mean  concentration of  2.4 ppm fertilizer-derived
N03(-)-N percolated through the soil profile.  At  crop maturity, only 55% of the
N applied the previous spring was recovered  by the crop or was present in drain-
age water.  Large amounts of  N not  recovered by the  crop  were either measured as
immobilized N  (20% of the applied N)  or were unrecovered  and  assumed denitrified
(17%).  During the fall and winter,  approximately  120 mm  of drainage water
containing 0.5 ppm or less  fertilizer-derived N03(-)-N percolated through the
soil profile.  These results  indicated  that  for rainfall  conditions  observed in
this study  (minimal crop water deficit),  the application  of N fertilizer to
grain sorghum at the near-optimum economic rate probably  would not seriously
reduce groundwater quality  on a swelling clay soil,  even  though  crop recovery
of applied N might be low.


76:056-005
NITROGEN  BALANCE  IN  THE  SOUTHERN SAN JOAQUIN VALLEY,
Miller, R.J.,  and  Smith,  R.B.
California  University, Department of Land, Air,  and Water Resources, Water
Science and Engineering  Section,  Davis, California.
Journal of  Environmental  Quality, Vol.  5, No. 3,  p 274-278,  July-September  1976.
2  fig, 5  tab,  21  ref.

Descriptors:   *Nitrate,  *Nltrogen,  *California.

A  nitrogen  balance  for the  southern San Joaquin  Valley of California has been
calculated,  using  techniques  and  methodology developed for the Upper Santa  Ana
                                             183

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River Basin of southern California.  The two areas differed considerably  in
both size (the latter being much smaller) and agricultural function.   Data  were
compiled on N inputs, use, and outputs for many sources within the  study  area.
Such data enabled construction of a flow diagram depicting best estimates of  N
pools and fluxes within the San Joaquin Valley Basin.  Results show N  inputs
into the study area from various sources were somewhat greater than output  to
the atmosphere and by plant removal.  Inputs to the soul N pool were about
9 kg/ha more in 1971 than in 1961.  Since the soil N pool was estimated to  be
about 11 metric tons/ha, this represented an increase of about 0.1%.   However,
since the increases of N are not evenly distributed over the study  area,  high
N concentrations can develop in some local areas.


76:05B-006
RESIDUES OF DICHLOBENIL IN IRRIGATION WATER,
Bowmer, K.H., O'Loughlin, E.M., Shaw, K., and Sainty, G.R.
Commonwealth Scientific and Industrial Research Organization, Division of
Irrigation Research, Griffith, New South Wales, Australia.
Journal of Environmental Quality, Vol. 5, No. 3, p 315-319, July-September
1976.  3 fig, 4 tab, 15 ref.

Descriptors:  *Herbicides, *Irrigation canals,  Irrigation effects,  Irrigation,
Aquatic weeds, Crop production.

Field trials were made on 
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Nickel, Elements.

The processing of phosphatic  shale  near  Pocatello,  Idaho has  a direct  influence
on the element content of  local  vegetation and soil.   Samples of big sagebrush
and cheatgrass show important negative relations  between the  concentration  of
certain elements  (Cd, Cr,  F,  Ni,  P,  Se,  U, V,  and Zn)  and distance  from phosphate
processing factories.  Plant  tissues within 3  km  of the processing  factories
contain unusually high amounts of these  elements  except Ni and Se.  Important
negative relations with  distance were also found  for certain  elements  (Be,  F  R>
K, Li, Pb, Rb, Th, and Zn)  in A-horizontal soil.   Amounts of  seven  elements (Be
F, Li, Pb, Rb, Th, and Zn)  being contributed to the upper 5 cm of the  soil  by
phosphate processing, as well as two additional elements (U and V)  suspected as
being contributed to  soil,  were  estimated, with F showing the greatest increase
 (about 300 kg/ha) added  to soils as far  as 4 km downwind from the factories
The greatest number of important relations for both plants and soils was  found
downwind  (northeast)  of  the processing factories.


 76:056-009
 PHOSPHORUS LOSS BY STREAM  TRANSPORT FROM  A RURAL WATERSHED:   QUANTITIES,
 PROCESSES, AND SOURCES,
 Johnson, A.H., BOuldin, D.R., Goyette,  E.A.,  and Hedges,  A.M.
 Pennsylvania University, Philadelphia,  Pennsylvania.
 Journal of Environmental Quality, Vol.  5,  No.  2, p 148-157,  April-June 1976.
 12 fig, 5 tab, 12 ref.

 Descriptors:  *Phosphorus, *New York, Low flow.  Surface runoff,  Sediments,
 Farm waste. Sampling, Watersheds (basins),  Land  use.

 Loss of dissolved and particulate  phosphorus  by  stream transport was  determined
 over a 20-month period  for Fall Creek,  a  stream  draining a predominantly rural
 watershed of 330 sq  km  in  central  New York.   Samples  were taken several times
 daily during most high  flow  periods and at 3  to  20 day intervals during low
 flow periods.  Samples  were  ususlly processed within  4 hours since redistribu-
 tion of P among chemical  forms  was  rapid.   Losses  of  P from  the watershed  per
 unit time varied by  several  orders  of -magnitude  and 75% of the P loss occurred
 in the major point source  inputs,  dissolved inorganic P concentrations were
 highest during storm events  due to  two  processes:   desorption of P accumulated
 in the bed sediment  from  point  source inputs  during low flow,  and  inputs from
 diffuse sources in surface runoff.   Dissolved organic P concentrations were
 not correlated with  flow.  Approximately  20%  of  the  dissolved P lost  from  the
 watershed was derived from diffuse  sources associated with farming, 45% was
 derived from natural geochemical processes,  and  35%  from point source inputs.
 Less than 1% of the  P applied to the landscape in  chemical fertilizer and  manure
 was lost from the watershed  in  dissolved  form.


 76:058-010
 SOIL NITRATES FOLLOWING FOUR YEARS  CONTINUOUS  CORN AND AS  SURVEYED IN IRRIGATED
 FARM FIELDS OF CENTRAL  AND EASTERN  COLORADO,
 Ludwick, A.E., Reuss, J.O.,  and Langin, E.J.
 Colorado State University, Department of  Agronomy  (Soils), Fort  Collins,
 Colorado.
 Journal of Environmental Quality, Vol.  5,  No.  1, p 82-86,  January-March 1976.
 4 fig, 3 tab, 18 ref.

 Descriptors:  *Fertilizers,  *Nitrogen,  *Groundwater,  Pollutants, Corn, Irrigation
 effects, Colorado, Fertilization, Nutrients,  Soil  texture, Beans.

 High rates of fertilizer N used  in  many intensive  farm management systems have
 been cited as a potential  pollution hazard  to  surface  and  ground waters.  The
 purpose of this study was  to  evaluate soil N03(-)  accumulations  following 4
 years continuous corn grown with different  nitrogen and irrigation regimes, and
 to compare these results to present N03(-)  concentrations  found  in irrigated
 farm fields of central.and eastern  Colorado.   Soil N03(-)  content in  the 300-cm
 sampled profile was  significantly influenced by  both  fertilizer  N and irrigation
 treatments;  the greater accumulations were  associated  with the  two higher
 fertilizer N rates and  two lower irrigation rates.  Nitrate  increased linearly
                                             185

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in relation to fertilizer N between 67 and  269 kg  N/ha  and  could be described
by two simple regression equations separating the  irrigation  treatments into
two groups  (1-2 and 1-3, low rates; 1-4 and 1-5, high rates).   Coefficients of
determination for the two groups were 0.981 and 0.975,  respectively.


76:05B-011
NITRATE DYNAMICS IN FALL CREEK, NEW YORK,
Johnson, A.H., Bouldin, D.R., Goyette, E.A., and Hedges, A.M.
Pennsylvania University, Regional Planning  Division, Philadelphia,  Pennsylvania.
Journal of Environmental Quality, Vol. 5, No. 4, p 386-391, October-December
1976.  5 fig, 3 tab, 11 ref.

Descriptors:  *Watersheds  (basins), New York, Leaching, Water quality.  Farm
wastes, Agriculture.

Nitrate loss  from a 330 sq km rural watershed in central New York was monitored
over a 31-month period.  Seasonal N03-N patterns were well  defined  with highest
levels in the winter and lowest levels in the summer resulting  from accumulation
of N03-N in the soil profile during the growing season  and  leaching during  the
winter months.  Stream water at the outlet  of the  watershed studied is  used as
a source of drinking water for some 20,000  people.  Nitrate-N concentrations at
the drinking water intake- currently do not  exceed  3 mg/liter.   Human activities
affected N03-N levels, with dairying and sewage being the major contributors.
If agriculture is expanded to its maximum acreage, keeping  the  present  ratio
of corn/hay/pasture/people, N03-N levels at the drinking water  intake will  not
exceed present standards for drinking water.


76:058-012
MOVEMENT OF FERTILIZER AND HERBICIDE THROUGH IRRIGATED  SANDS,
Mansell, R.S., Rhoads, F.M., Hammond, L.C., Selim, H.M., and Wheeler, W.B.
Florida University, Department of Soil Science, and Florida University,
Gainesville Institute of Food and Agriuclture, Gainesville, Florida.
Available from the National Technical Information  Service,  Springfield,
Virginia, and PB-261 505, Price codes:  A04 in paper copy, A01  in microfiche.
Florida Water Resources Research Center, Gainesville, Publication No. 38,
September 10, 1976.  50 p, 21 fig, 4 tab, 20 ref,  append.   OWRT A026-FLAC10).
14-34-0001-6010.

Descriptors:  Infiltration, Irrigation, Herbicides, Fertilizers,  Kinetics,
Sorption, Soils, Path of pollutants, *Sands, *Florida,  Irrigated land,  Leaching.

The simultaneous movement of water and selected agrichemicals (.fertilizer nutri-
ents and herbicide) through sandy soils is  of particular importance to  the  effic-
ient use of fertilizers and irrigation water by agricultural crops.  Efficient
use of fertilizers and herbicides applied to Florida's  sandy soils  is desirable
for maintaining optimum growth of plants and for minimizing groundwater
contamination.  Laboratory and field experiments as well as mathematical models
were used to study water and solute (potassium and phosphorus nutrients and
2,4-D herbicide) transport in two representative Florida soils:   Wauchula sand
and Troup sand.  In an irrigated and fertilized corn experiment,  grain  yields
and efficiency of water use were observed to be mutually related to both the irriga-
tion and the fertilizer application treatments.  Leaching of applied nutrients
and irrigation water from the soil "rooting zone"  resulted  in decreased water
use efficiency in these soils.  Mathematical models were developed  and  used to
simulate transport and chemical-physical reactions for potassium, phosphorus
and 2,4-D herbicide in these soils.  Reactions such as  adsorption-desorption,
chemical precipitation and immobilization, (fixed) greatly influenced the movement
and thus potential leaching of these solutes through the soil.


76:05B-013
THE POTENTIAL CONTRIBUTION OF FERTILIZERS TO WATER POLLUTION,
Douglas,  L.A.
Rutgers-The State University, Department of Soils and Crops, New-Brunswick,  New
Jersey.
Available from the National Technical Information  Service,  Springfield, Virginia,
as PB-259 609, Price codes:   A05 in paper copy, A01 in microfiche.  Water
                                             186

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Resources Research  Institute,  Rutgers University,  Mew Brunswick,  New Jersey
Partial Completion  Report  June 1976.   92 p,  50 fig,  16 tab,  45 ref   OWRT A-027-
NJ(6).  14-31-0001-3830.

Descriptors:  *Nitrates, *Nitrites,  *Ammonia,  *Phosphates,  *Leaching,  *Fertili-
zers, Land use,  *New Jersey,  *Denitrification, Nitrogen,  Nutrients,  Water
pollution sources.

Field studies xere  undertaken to determine the magnitude  of  leaching of  fertili-
zer N03, NH4 and P04.   The effect of N-SERVE on these reactions was  observed,
N-SERVE had little  effect  on  leaching because most leaching  takes place  during
the fall and winter when precipitation exceeds evapotranspiration.   No leaching
of NH4 or P04 was observed.   The common fertilizer efficiency  measure  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  were under-
taken to relate land use to N03, NH4, and P04  concentrations in surface  waters.
Sewage treatment plants and "illegal drains" were  major sources of all three
ions.  In order of  decreasing contribution O£  NO3:  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 PO4 in .central New  Jersey  streams  is many tim"es 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.


76:05B-014
PREDICTING 2,4,5-T  MOVEMENT IN SOIL  COLUMNS,
O'Connor, G.A.,  van Genuchten,  M.  Th.;  and Wierenga,  P.J.
New Mexico State University,  Las Cruces,  New Mexico.
Journal of Environmental Quality,  Vol.  5,  No.  4, p 375-378,  October-December
1976.  8 fig, 1  tab, 9  ref.

Descriptors:  *Model studies,  *Effluents,  *Tritium,  2,4,5-T, Soils,  Soil  investi-
gations, Adsorption, Pesticides,  Herbicides.

A solute model  developed by van Genuchten and  Wierenga was used to calculate
2,4,5-T effluent data from soil columns.   The  model  had been previously  shown to
adequately predict  effluent data given model parameters curve  fit to a portion of
the effluent curve.  The present work shows  that 2,4,5-T .effluent curves may be
adequately predicted without  prior knowledge of the  effluent curves  for  a  parti-
cular soil column given:   (i)  model  parameters derived from  2,4,5-T  effluent
curves for other soil columns,  or (ii)  model parameters obtained  from  tritium
effluent curves  for the same  columns.   The data suggest that once the  physical
model parameters have been characterized for a soil,  reasonable predictions of
2,4,5-T (and perhaps other solutes)  transport  can  be  made given the  adsorption
coefficient for  the solute.


76:05B-015
DISTRIBUTION OF  PLUTONIUM  IN  TRINITY  SOILS AFTER 28 YEARS,
Nyhan, J.W., Miera, F.R. Jr.,  and Neher,  R.E.
Los Alamos Science  Laboratory,  Soil  Science, Los Alamos, New Mexico.
Journal of Environmental Quality, Vol.  5,  No.  4, p 431-437,  October-December
1976.  6 fig, 4  tab, 22 ref.

Descriptors:  Soils, Soil  investigations,  Nuclear  wastes. Nuclear explosions.
Sampling, Soil horizons. Soil  profiles,  Carbonates.

The soils of four intensive study areas  located along the fallout pathway  of
Trinity, the first  nuclear detonation,  were  sampled to determine  soil  plutonium
concentrations as a function  of distance  from  Ground  Zero and  soil depth.  About
half of the 239,240Pu in Trinity soils  was found at the 5-20 cm depth  in 1973
compared to total plutonium inventories  found  only in the upper 5 cm of soil
about 20 years ago.  Soil  plutonium concentrations of samples  collected at the
same depth of each  study area  generally exhibited  coefficients  of variation > 1.2.
Maximum penetration depths of  239,240Pu  into Trinity  Site soils were related to
the presence of  subsoil horizons  containing  carbonate accumulations  and the maxi-
mum extent of rainwater penetration into  these soil profiles.
                                             187

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76:05B-016
SALT AND WATER BALANCE IN IMPERIAL VALLEY, CALIFORNIA,
Kaddah, M.T., and Rhoades, J.D.
Imperial Valley Conservation Research Center, Brawley, California.
Soil Science Society of America Journal, Vol. 40, No. 1, p  93-100,  January-
February 1976.  4 fig, 2 tab, 13 ref.

Descriptors:  *Salinity, *Salt balance, *Salts, Soil salinity, Water  salinity,
Root zone. Ground water, Surface runoff. Effluents, Water quality,  California.

Salt balance of the Imperial Valley has been determined annually  since  1943 by
the Imperial Irrigation District.  Salinity trends in the valley  are  assessed
from biweekly measurements of the volume, V, and concentration, C,  of influent
inf.w, and effluent, eff.w, waters.  This paper summarized  the SB (Salt Balance)
data, evaluates their significance, and suggests approaches for assessing  salinity
trends in the soils of the valley.  The SB data reflected the cropping  and water
use patterns in the valley.  However, the data were insufficient  to distinguish
origin of water and salt in effluent water or to provide information  about changes
in root zone salinity.  In 1973 total evapotranspiration (ET) by  crops  in  the
valley was estimated to be 229 multiplied by 1,000 ha-m, equivalent to  70% of the
water delivered to the farmers.  Deductions as to Cl(-) composition of  influent
and effluent during 1973 suggest that the Cl(-) load in the effluent  water was
contributed as follows:  54.7% from ground water, 35.0% from root zone  drainage
water, and 10.3% from tail water (runoff).


76:05B-017
MOVEMENT OF CARBARYL THROUGH CANGAREE SOIL INTO GROUND WATER,
LaFleur, K.S.
Clemson University, Department of Agronomy and Soils, Clemson, South  Carolina.
Journal of Environmental Quality, Vol. 5, No. 1, p 91-92, January-March 1976.
1 fig, 3 tab, 6 ref.

Descriptors:  Soil profiles, Ground water, Pollutants, Soil investigations.

Carbaryl was applied to a Congaree sandy loam fieldplot containing  a  shallow
 (about -1.1 m) water table.  Movement and loss in the soil profile, and accumu-
lation in underlying ground water were monitored for 16 months.   Rainfall  during
this time was 182 cm (3.5 pore volumes based on the upper 1 m of  soil).  The upper
1 m contained  about 6% of the applied carbaryl after 16 months.  No  carbaryl was
found in the 0-20 cm layer after the 4th month.  Loss of carbaryl with  time  in
the upper 1 m was concentration-dependent.  Time to half-concentration within the
upper 1 m was < 1 month.  Carbaryl appeared in the underlying ground  water within
2 months after soil application and persisted through the 8th month.  Maximum
ground water concentration, about 0.3 micromol/liter, occurred at the end  of the
second month.


76:058-018
LOSSES OF NITROGEN IN SURFACE RUNOFF IN THE BLACKLAND PRAIRIE OF TEXAS,
Kissel, D.E., Richardson, C.W., and Burnett, E.
Texas A and M University, Texas Agricultural Experiment Station, College Station,
Texas.
Journal of Environmental Quality, Vol. 5, No. 3, p 288-293, July-September 1976.
1 fig, 4 tab, 16 ref.

Descriptors:  *Clays,  *Nitrogen, *Texas, Fertilization, Watersheds  (basins),
Runoff, Pollution, Surface runoff.

The objective of this study was to determine N03(-)-N and total N losses in
surface runoff from Houston Black clay, a swelling clay soil with a relatively
low infiltration rate.   The study was carried out on duplicate 4-ha watersheds
cropped to a rotation of grain sorghum, cotton, and oats, all fertilized at
recommended rates of N application.  The loss of N03(-)-N varied considerably
during the study,  depending on events before each runoff-producing  storm.  Concen-
trations of N03(-)-N were usually highest just after fertilizer application when
the soil was near field capacity and lowest when large amounts of water infiltra-
ted into dry soil immediately before runoff.  During runoff-producing storms
just after fertilizer  application,  the concentrations were lowest in  the initial
runoff and highest near the end of the runoff event.  To compute NO3(-)-N  losses
                                             188

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with reasonable accuracy  on  these  soils,  the shape of the entire N03(-)-N con-
centration curve needed to be  well defined.   In general,  the results  of this
study indicate that a  small  and probably  insignificant amount of N is lost to
surface waters when crops are  fertilized  at  recommended N rates  in the Texas
Blackland Prairie.  For the  entire 5-year study, the mean concentration of
N03(-)-N in runoff was 2.9 and 2.3 ppm N03(-)-N for the duplicate watersheds.
The mean total loss of N03(-)-N was 3.2 kg ha (-1)  year(-l).  Losses  of sediment
associated N were about 5 kg N ha(-l)  year(-l).


76:058-019
THE IMPACT OP FERTILIZER  USE AND CROP  MANAGEMENT ON NITROGEN CONTENT  OF SUBSURFACE
WATER DRAINING FORM UPLAND AGRICULTURAL WATERSHEDS,
Chichester, F.W.
United States Department  of  Agriculture,  Agricultural Research Service,  Temple,
Texas.
Journal of Environmental  Quality,  Vol. 5, No. 4, p 413-416,  October-December
1976.  2 fig, 3 tab,  13 ref.

Descriptors:*Nitrogen, *Fertilizers, Fertilization, Agricultural Watersheds,
Ohio, Sampling, Land  management. Water quality,  Deep percolation, Groundwater,
Soils, Spring waters,  Hydrogeology.                 '

Spring flow and stream base  flow sites were  sampled weekly on and adjacent to
a  123-ha agricultural watershed in the Allegheny-Cumberland Plateau physiographic
region of east-central Ohio.  Nitrogen content of samples was used to determine
the influence of various  N  fertilizer  and crop management practices on the qual-
ity of subsurface water draining from  defined contributing areas.  Measured
nitrogen contents of  spring  flow were  related to fertilizer N regime  of the dif-
ferent agricultural practices  investigated.   Changes in land management on the
area contributing to  spring  flow were  reflected in changes in nitrogen content
of water from that  spring.   The amount of nitrogen which  was transported into
the stream channel was directly related to seasonal variation in subsurface flow
rate in two ways.  First, the  concentration  of N in spring flow  increased with
an increase in the  amount of water percolating through the overlying  soil and
shale.  Second, the extent  to  which downstream quality was affected,  i.e., the
distance from the area of fertilizer application at which an increase in nitrogen
content could be detected,  also increased with the volume of flow from the
springs.


 76:058-020
 CHEMICAL DISTRIBUTION AND GASEOUS EVOLUTION OF ARSENIC-74 ADDED TO SOILS AS
 DSMA-(74)AS,  -
 Akins,  M.B.,  and  Lewis,  R.J.
 Tennessee  University, Department of Plant and Soil  Science, Tennessee Agricultural
 Experiment  Station,  Knoxville, Tennessee.
 Soil  Science  Society  of America Journal,  Vol. 40, No. 5,  p 655-658, September-
 October  1976.   5  tab, 17  ref.

 Descriptors:  Arsenic compounds, Organic matter, Soil moistures, Soils, Soil
 investigations.

 Gaseous  evolution  of   (74)As from a soil treated with arsenic-74  labeled disodium
methanearsenate  at  100 g/g was a function of organic matter addition  and moisture
conditions.   Loss  of   (74)As was greatest from soils that received an  exogenous
carbon  source and were maintained under wet conditions.  Arsenic-74 sorbed by
 soils of pH  4,6,  and  8 was fractionated by a differential dissolution precedure
commonly used for phosphorus.   Iron arsenate  (soluble in O.lN NaOH) was the most
abundant form followed by aluminum arsenate   (soluble in 0.5N NH4F).  The soils
generally contained more  aluminum arsenate at pH 4 than at pH 6  or 8.  Calcium
arsenate fractions  (soluble  in 0.5N N2S04) were usually higher at pH  6 and 8
than at pH  4.  Water-soluble forms and nonextractable forms were inversely
proportional to each  other.
                                              189

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76:05B-021
DISSOLVED NUTRIENT LOSSES IN STORM RUNOFF FROM FIVE SOUTHERN PINE WATERSHEDS,
Schreiber, J.D., Duffy, P.O., and McClurkin, D.C.
Agricultural Research Service, Sedimentation Research Laboratory, Oxford,
Mississippi.
Journal of Environmental Qualtiy, Vol. 5, No. 2, p 201-205, 2 fig,  6  tab,
21 ref.
(See 76:02E-001)


76:056-022
EFFECT OF ATMOSPHERIC STABILITY ON WATER TEMPERATURE PREDICTIONS FOR  A THERMALLY
LOADED STREAM,
DeWalle, D.R.
Pennsylvania State University, School of Forest, University Park, Pennsylvania.
Water Resources Research, Vol. 12, No. 2, p 239-244, April 1976.  3 fig, 2 tab,
19 ref.  OWRT C-4199(No. 9032)(2).

Descriptors:  *Model studies, *Energy budget, *Water temperature, *Heat transfer,
*Discharge(Water), Air-water interfaces, Air temperature, Humidity, Wind velo-
city, Radiation, Equations, Pennsylvania, Atmosphere, *Thermal pollution.

A steady state one-dimensional energy budget equation was numerically integrated
to predict water temperatures in a 5.45-km-long thermally loaded stream reach
for 131 five- or six-hour periods.  Downstream water temperature prediction
errors  (measured minus predicted) using Jobson's Lake Hefner evaporation equa-
tion averaged -2.11 C and were well correlated (R2 = 46%) with an index to
atmospheric stability.  Use of a modified form of Shulyakovskiy's evaporation
equation, which includes a term for evaporation by free convection, significant-
ly reduced the average prediction error to 0.89 C and eliminated the  effects of
atmospheric stability  (R2 less than 1%).  Correction of wind velocity data for
the velocity of the air relative to the stream velocity also reduced  prediction
errors.

76:058-023
PULSED DISPERSION OF TRACE CHEMICAL CONCENTRATIONS IN A SATURATED SORBING
POROUS MEDIUM,
Lindstrom, F.T.
Oregon State University, Department of Statistics, and Department of Mathematics,
Corvallis, Oregon.
Water Resources Research, Vol. 12, No. 2, p 229-238, April 1976.  5 fig, 22 ref.
PHS ES-00040.

Descriptors:  *Dispersion, *Mathematical models, *Distribution patterns. Satur-
ated flow, Sorption, Porous media, Equations, Soil water. Theoretical analysis,
Graphical analysis. Computers, Water chemistry. Trace elements. Mass  transfer,
Laplaces equation, *Path of pollutants.

A rather simple, yet complete, mathematical model for the pulsed dispersion of
trace chemical concentrations in a water-saturated sorbing porous medium was
stated, and the resulting integrodifferential equation of transport was solved
via Laplace transform methods.  A typical example of a soil water dispersion
system was discussed with the aid of free and sorbed phase concentration distri-
bution curves.


76:05B-024
NUMERICAL SIMULATION OF WASTE MOVEMENT IN STEADY GROUNDWATER FLOW SYSTEMS,
Pickens, J.F., and Lennox, W.C.
Waterloo University, Department of Earth'Sciences, Ontario, Canada.
Water Resources Research, Vol. 12, No. 2, p 171-180, April 1976.  10  fig,
1 tab,  24 ref.

Descriptors:  *Model studies, *Groundwater movement, *Underground waste
disposal,  Groundwater, Waste disposal, Water pollution. Water pollution sources,
*Path of pollutants, Mathematical models. Finite element analysis, Analytical
techniques. Wastes, Waste disposal wells, Flow, Flow system. Water table,
Infiltration.
                                             190

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The finite element method based  on a Galerkin technique was  used to formulate
the problem of simulating the  two-dimensional transient movement of conserva-
tive or. nonconservative wastes in  a steady state saturated groundwater  flow
system.  The convection-dispersion equation was solved in two ways:  in  the con-
ventional Cartesian coordinate system and in a transformed coordinate system
equivalent to the orthogonal curvilinear coordinate system of streamlines and
normals to those lines.  The two formulations produced identical results   A
sensitivity analysis on the dispersion parameter "dispersivity"  was  performed,
establishing its importance in convection-dispersion problems.   Examples involv-
ing the movement of nonconservative .contaminants described by distribution
coefficients and samples with  variable tribution coefficients and examples with
variable input concentration were  also given.  The model can be  applied to
environmental problems related to  groundwater contamination  from waste  disposal
sites.


76-.05B-025
A FINITE ELEMENT MODEL OF CONTAMINANT' MOVEMENT IN GROUNDWATER,
Cabrera, G. and Marino, M.A.
Chile University, Centre de Recursos Hidraulicos, Santiago,  Chile.
Water Resources Bulletin, Vol. 12, No.  2, p 317-335,  April 1976.   9  fig, 17 ref.

Descriptors:  *Model studies,  Wastes, *Groundwater movement,  Mathematical models,
Computer models, *Finite element analysis. Pollutants,  *Path of  pollutants,
Groundwater, Aquifers, Streams,  Recharge, Groundwater recharge,  Infiltration,
Flow, Surface-groundwater relationships, Subsurface flow.  Subsurface waters.

Transient, two-dimensional solutions were developed which describe  the  movement
and distribution of a conservative substance in a stream-aquifer system.  The
solutions were obtained by solving sequentially the groundwater  flow and mass
transport equations.  A variational approach in conjunction  with the finite
element method was used to solve the groundwater flow equation.   Galerkin's
approach coupled with the finite element method was used to  solve the mass
transport equation.  Linear approximated triangular elements and a  centered
scheme of numerical integration  were employed to calculate the hydraulic head
distribution and the concentration of solute in the flow region.  The linear
approximation used to define the concentration function within each  element is
not appropriate for cases involving steep concentration gradients.   For such
cases, higher order approximations are necessary to assure the continuity of
gradients across interelemental  boundaries.  Numerical examples  that illustrate
the applicability of the model were presented.


76:05B-026
AN ANALYSIS OF THE NUMERICAL SOLUTION OF THE TRANSPORT EQUATION,
Gray, W.G., and Pinder, G.F.
Princeton University, Department of Civil Engineering,  Princeton, New Jersey.
Water Resources Research, Vol. 12, No.  3, p 547-555,  June 1976.   8  fig, 1 tab,
5 ref.  NSF-AER74-01765.

Descriptors:  *Mass transfer,  *Dispersion, *Finite element analysis, *Numerical
analysis, *Fourier analysis, Waves (Water), Convection,  Computers,  Equations,
Mathemeical studies, *Path of  pollutants.

The relative merits of numerical procedures used for the solution of the convec-
tive dispersive mass transport equation were examined in terms of frontal smear-
ing and concentration overshoot.  The testing for assessing  the  relative accura-
cy of some selected numerical  procedures was based on a Fourier  series  represen-
tation of the solution to the  governing equation and its discretized counterpart
Through a comparative examination  of the analytically and numerically computed
amplitude and speed of the Fourier components, the dispersive and dissipative
properties of a numerical scheme were easily analyzed.   The  analysis indicated
that the commonly observed phenomenon of overshoot of a concentration pulse was
due to the inability of the numerical schemes to propagage the small wavelengths
which are important to the description of the front.   The numerical  smearing of
a sharp front was due to dissipation of these small wavelengths.  The finite
element method  was found to be  superior to finite difference methods for solu-
tion of the convective-di'spersive  equation.
                                             191

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76:058-027
ANALYTICAL THREE-DIMENSIONAL TRANSIENT MODELING OF EFFLUENT  DISCHARGES,
Yeh, G.T., and Tsai, Y.J.
Stone and Webster Engineering Corporation, Boston, Massachusetts.
Water Resources Research, Vol. 12, No. 3, p 533-540, June 1976.   10  fig,
19 ref.

Descriptors:  *Unsteady flow, *Dye releases, *Dye concentration,  *Effluents,
*Analytical techniques, *Turbulent flow, *Hudson River, *Mathematical models,
Thermal pollution, Diffusion, Buoyancy, Density currents, Tidal waters,
Equations, Pollutant identification, *Path of pollutants.

A transient, three-dimensional turbulent diffusion equation  describing the  con-
centration distribution of a substance or heat in a time-dependent flow field
was  solved analytically.  Two models were considered:  one treated both the
depth and the width of a water body as being finite, while the other dealt
with finite depth but with infinite width.  In the search for solutions, the
method of Green's function was utilized to the optimum advantage.  The solutions
were developed for cases in which the velocity field can be  described as any
integratable function of time.  For practical applications,  the velocity was
assumed to be the sum of a constant and a harmonic component.  There were no
limitations on the type of source conditions.  Results were  compared with field
measurements and showed the models to be capable of simulating the dye distribu-
tion in tidal water bodies.  The models should provide the engineering community
with a quick and easy way of predicting the distribution of  effluent discharges.
They should obviate the need of using tedious and time-consuming numerical
models, as  occasions  often arise in which such complicated  models may not  be
warranted.


76:05B-028
DESCRIBING VARIANCE WITH A SIMPLE WATER QUALITY MODEL AND HYPOTHETICAL
SAMPLING PROGRAMS,
Moore, S.F., Dandy, G.C., and DeLucia, R.J.
Massachusetts Institute of Technology, Department of Civil Engineering,
Cambridge, Massachusetts.
Water Resources Research, Vol. 12, No. 4, p 795-804, August  1976.  7 fig,
2 tab, 18 ref.

Descriptors:  *Water quality control, *Sampling, *Decision making, Evaluation,
Time, History, Data collections, Estimating, Mathematical models, Simulation
analysis. Costs, Impoundments, Eutrophication, Equations, Systems analysis,
*Risks.

An explicit treatment of the uncertainty in the state of water quality in a
body of water can provide a quantitative basis for sampling  decisions.  Filter-
ing theory, an extension of Bayesian analysis to dynamic systems, is used to
obtain an algorithm which describes the time history of variance  (uncertainty)
in estimates of water quality parameters.  Uncertainties arising from measure-
ment errors, incompleteness of data, and random fluctuations exhibited by natural
phenomena are taken into account.  Sampling design capabilities are  illustrated
in an evaluation of sampling frequencies for the National Eutrophication Survey.
The adequacy of any sampling program is dependent'on the available prior data
and on the value associate with reductions in uncertainty.


76:05B-029
OPTIMAL ESTIMATION OF DO, BOD, AND STREAM PARAMETERS USING A DYNAMIC DISCRETE
TIME MODEL,
Koivo,  A.J., and Phillips, G.
Purdue University, Department of Electrical Engineering, Lafayette,  Indiana.
Water Resources Research, Vol. 12, No. 4, p 705-711, August  1976.  9 fig,
10 ref.

Descriptors:  *Path of pollutants, *Model studies,  *0ptimization, *Biochemica'l
oxygen demand,  *Dissolved oxygen, *Streams, *Mathematical models, Computer-
models,  Dynamic programming,  Organic matter, Water quality, Water pollution,
Pollutants,  Reaeration, Self-purification, Waste assimilative capacity,
Equations,  Mathematical studies.
                                             192

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A modified Streeter-Phelps  equation was used as the starting equation to  obtain
a discrete time mathematical  representation which represents a model  for  the
biological oxygen demand and  the  dissolved oxygen concentrations  in a polluted
stream.  The unknown parameters to  be  estimated were treated as state variables
in order to compute their numerical values from noise-corrupted measurements
An optimal estimator was constructed for the estimation of  the unknown parameters.
The optimization scheme can be implemented in a small computer.   The  approach
was illustrated by a numerical example.


76:058-030
SIMILARITY OF THE MEAN MOTION OF  FLUID PARTICLES DISPERSING IN A  NATURAL  CHANNEL
Day, T.J., and Wood, I.R.
Geological Survey of Canada,  Ottawa, Ontario, Canada.
Water Resources Research, Vol. 12,  No. 4,  p 655-666, August 1976   13 ficr
3 tab, 22 ref.                                                          y'

Descriptors:  *Dispersion,  *Flow, *Turbulence, *Channel morphology, *Hydrologic
data. Velocity, Methodology,  Tracers,  Distribution patterns,  Statistical  methods.

The longitudinal dispersion in natural river channels was shown to exhibit the
characteristics,constant velocity  ratios, and similarity in  the distribution
of physical dimensions of a self-similar process.   Although the kinematic rela-
tions and the structure of  the turbulent field were sensitive to  the  nature of
the flow boundaries and the geometry of the channel, similarity was maintained
in flows in a wide range of steep gravel and boulder bed channels.  A simple
method was developed for predicting the longitudinal pattern of dispersion.  It
contained three basin hydraulic parameters which could be determined  by a field
experiment.  Data on steep  channels and distances up to 1000 channel  widths from
the dump point were used in developing the method.  Though  these  data were rather
limited in scope, the results suggested that the general method may be applica-
ble to streams with a range of characteristics.


76:056-031
MODELING OF UNSTEADY TEMPERATURE  DISTRIBUTION IN RIVERS WITH THERMAL  DISCHARGES,
Hills, R.G., and Viskanta,  R.
Purdue University, School of  Mechanical Engineering, and Heat Transfer Labora-
tory, Lafayette, Indiana.
Water Resources Research, Vol. 12,  No. 4,  -p 712-722, August 1976.  20 fig,
29 ref.

Descriptors:  *Heated water,  *Thermal  stratification.  Analytical  techniques,
*Turbulent flow, *Mixing, Water temperature, Channel flow,  Heat transfer,
Radiation, Numerical analysis. Equations,  Rivers,  *Thermal  pollution.

Unsteady temperature distribution was  analyzed in a wide channel  simulating a
river.  The effects of thermal discharges, meteorological conditions,  solar
and atmospheric radiation,  and channel parameters on the thermal  structure of
a river were analyzed and discussed by utilizing an analytical model  for  the
unsteady three-dimensional  temperature distribution in the  far field  of a
thermally stratified channel. The conservation of energy equation for turbulent
flow was solved numerically with  an alternating direction implicit finite
difference scheme.  The effects of  thermal start-up, discharge temperature leveL
discharge location, river flow velocity, and other factors  were investigated.
The results showed that the greater the temperature excess  above  the  ambient at
the discharge, the greater  downstream distance is needed to reach a fully mixed
condition because of the suppressive effect of stratification on  the  turbulent
mixing.  The greater surface  temperatures  associated with thermally stratified
flow resulted in increased  heat dissipation and water evaporation from the
surface.



NITRATE AND CHLORIDE POLLUTION OF AQUIFERS:   A REGIONAL STUDY WITH THE AID OF
A SINGLE-CELL MODEL,
Mercado, A.
Tahal-Water Planning for Israel,  Limited,  Tel-Aviv,  Israel.
Water Resources Research, Vol. 12,  No. 4,  p 731-747, August 1976.  15 fig,
                                             193

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6 tab, 7 ref.

Descriptors:  *Nitrates, *Chlorides, *Water pollution, *Aquifers,  *Mathematical
models, Water pollution sources, Hydrologic properties, Zone of aeration, Water
wells, Water table, Biochemistry, Groundwater, Tracers, Forecasting, Monte  Carlo
method, Probability, Statistical models, Tertiary treatment, Groundwater
recharge, Equations.

A single-cell model was used -to study the regional chloride and nitrate pollu-
tion patterns in part fo the coastal aquifer of Israel.  The model integrated
pollution sources on the land surface, hydrologic parameters of the aquifer and
the unsaturated zone, and variations of chloride and nitrate concentration  dist-
ribution in pumping wells.  Complicated hydrologic and biochemical processed in
the unsaturated zone were simplified and represented by two basic parameters:
 (1) transit time from land surface to the aquifer, and (2) nitrogen losses  in
the soil.  It was shown that linear relationships exist between nitrogen quanti-
ties released on the surface and the quantities reaching the water table.   The
calibration of the model enabled its use for prediction purposes.  The Monte
Carlo  technique was introduced to determine the range of predicted average
groundwater concentrations as a function of time.  The forecasts presented  call
for urgent protection measures in order to meet drinking water standards for
maximum nitrate concentrations.  Thirteen alternative protection measures were
examined and then compared to predictions based on present nitrogen loads and
hydrologic regime.  The exchange relationships between these measures were
derived, and it was suggested that they can be used later for evaluating econo-
mic criteria for protecting groundwater quality -


76-.05B-033
DISPERSION OF WATER POLLUTANTS IN A TURBULENT SHEAR FLOW,
Yeh, G.T., and Tsai, Y-J.
Stone  and Webster Engineering Corporation, Boston, Massachusetts.
Water  Resources Research, Vol. 12, No. 6, p 1265-1270, December 1976.  4 fig,
14 ref.

Descriptors:  *Dispersion, *Pollutants, *Turbulent flow, *Model studies, Mathema-
tical  models, Water quality, Rivers, Streams, Velocity, Diffusivity, Flow,
Streamflow, Analytical techniques, Water pollution sources, *Path of pollutants,

A steady-state, two dimensional turbulent diffusion equation discribing the
concentration distribution of a substance from a line source in a shear flow
field  was solved analytically.  A similar formulation may be developed for  any
other  kinds of sources.  In the study, the velocity and eddy diffusivity were
assumed to be variables given by the power law approximations, and the depth of
the water body was assumed finite, with no-flux boundary conditions applied at
the water surface and bottom.  This represents a first step toward analytical
water  quality modeling, which realistically includes the effects of both the
finiteness in water depth and the nonhomogeneity in velocity and diffusivity.
Results from the present model were compared with those obtained from the fin-
ite depth constant coefficient model and from the infinite depth constant
coefficient model.  They showed significant and realistic differences in the
prediction of concentration patterns.  The effects of nonhomogeneous velocity
and diffusivity are cancelled out by the effect of boundary reflection far  away
from the source.


76:05B-034
COMPUTER SIMULATION OF PHOSPHORUS MOVEMENT THROUGH SOILS,
Barter, R.D., and Foster, B.B.
New Hampshire University, Institute of Natural and Environmental Resources,
Durham, New Hampshire.
Soil Science Society of America Journal, Vol. 40, No. 2, p 239-242, March-April
1976.  4 fig, 1 tab, 9 ref.

Descriptors:  Computer models, Model studies, Phosphorus, Soil investigations,
Mathematical models, Waste water, Nutrients, Fertilization.

Although the movement of P through soil can be described by mathematical models,
this approach has certain limitations in practical application, particularly  :
                                             194

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     ™? used  for waste  water renovation.   TO circumvent the limitations of
mathematical modeling,  empirical  adsorption equations can be obtained and
utilized in computer simulation of phosphorus  movement,   in this way  the
renovation lifetime of  a  soil  can be estimated.   This approach is not limited
to P, and can be used for any  potential ground-water contaminate, whether
inorganic or organic.


76:058-035
AGRICULTURAL RUNOFF, A  BIBLIOGRAPHY, VOLUME 2
Office  of Water Research and Technology,
Washington, D.C.
Water Resources Scientific Information Center, Report OWRT/WRSIC 76-203
July 1976,  286  p.

Descriptors:   *Agricultural runoff, *Bibliographies, *Farm wastes, *Feed lots,
Waste disposal,. Waste  treatment.  Water pollution sources, Water pollution control.
Runoff,  Path of pollutants.

This report, containing 187 abstracts, is another in a series of planned
bibliographies  in water resources produced from the information base comprising
SELECTED WATER RESOURCES ABSTRACTS  (SWRA) .  At the time of search for this
bibliography,  the data  base had 95,781 abstracts covering SWRA through April 15,
1976 (Volume  9, Number  8).  Author and subject indexes are included.  The first
volume  (see W72-05840)  was issued in January 1972 and covered the material
announced  in  SWRA from October 1968 through December 1971.  This volume covers
the period from January 1972 through April 1976.


76:05B-036
SUBSURFACE BRINE DISPOSAL - BE REASONABLE,
Fryberger,  J.S.
Engineering Enterprises, Inc., Norman, Oklahoma.
Ground  Water,  Vol. 14,  No. 3,  p 150-156, May-June 1976.  5 fig, 11 ref.

Descriptors:   *Brine disposal, *Groundwater, *Hydrogeology, *0klahoma, Oil wells,
Oil wastes.  Injection wells, Brines, Waste disposal, Wastes, Pollutants, Aquifers,
Piezometry,  Potentiometric level. Geology, Legal aspects, Oil industry,
Agriculture,  Irrigation.

A classic  battle between landowners desireing to protect their fresh groundwater
from possution and oil companies needing a disposal zone for injection of oil-
field brines  developed in Texas County, Oklahoma.  Initial studies showed that
the disposal  zone (Glorieta Formation) was in placed only 500 feet below the
bottom  of  the  fresh-water aquifer  (Ogallala Formation).  Solution/collapse
features in the intervening formations plus numerous poorly plugged wells and
exploration holes provided potential avenues of brine migration.  The potential
for pollution appeared very real.  The landowners not only wanted to halt
construction of new brine disposal wells, but also wanted all 33 existing
disposal wells abandoned and plugged.  Tempers flared and intermittent litiga-
tion continued for over two years.  A more complete hydrogeologic analysis led
to the  following observations:   (1) the potentiometric surface in the Glorieta
is 100  to  400  feet below the water table in the Ogallala in areas where brine
disposal is taking place; and  (2) the transmissivities of the Glorieta and
disposal rates are such that even pressure gradients around disposal wells
are below  the  water level in the Ogallala.  These hydrologic facts led to the
conclusion that, even with a perfectly open conduit connecting the two forma-
tions,  migration of disposal brine from the Glorieta into the fresh-water
Ogallala would be impossible in the critical area because of pressure relation-
ships .


76:058-037
PREDICTION OF  FUTURE NITRATE CONCENTRATIONS IN GROUND WATER,
Young,  C.P., Oakes,  D.B.^^and Wilkinson, W.E.
Water Res'earch Centre,  " Medmehham Laboratory,  Marlow (England).
Ground  Water,  Vol. 14,  No. 6,  p 426-438, November-December 1976.  20 fig, 3 tab,
29 ref.
                                              195

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Descriptors:  *Nitrates, *Groundwater, *Forecasting, Surveys, On-site
investigations, Model studies, Mathematical models, Aquifers, Foreign  countries,
Sandstones, Foreign projects, Nitrogen, Chlorides, Tritium, Fertilizers, Wells,
Water wells, Land use, Effects, Agriculture, Water pollution. Pollutants.

Over the last few years, rises in the nitrate content of groundwater from wells
and springs in the principal aquifers of the United Kingdom have been  observed.
In a number of cases, the concentrations have exceeded the WHO lower recommended
limit.  In order to determine the reason for the rise, to assess whether it will
continue, and to ascertain the eventual nitrate levels, the Water Research Centre
undertook an extensive program of drilling and sampling on the Chalk and Bunter
Sandstone.  By August 1976, 22 sites had been examined.  This work established
that high nitrate concentrations  (peaks up to 60 mg/1 N03-N have been  observed)
are present in the unsaturated aquifers at fertilized arable/ley sites.  At
unfertilized grassland sites, nitrate concentrations are low  (less than 4 mg/1
N03-N), and they are below fertilized established grassland values, which are
in the intermediate range.  At one farm site near Winchester, models to predict
the rate of movement of nitrate through the unsaturated and saturated  Chalk
were developed.  These models suggest that the nitrate levels at this  site will
remain at an essentially constant value of about 4 mg/1 N03~N until the late
1970's, when they will rise progressively to about 14 mg/1 NO^-N.  The models
were checked against tritium data, and the approach is now being extended to
other sites.


76:05B-038
WASTEWATERS IN THE VADOSE ZONE OF ARID REGIONS:  GEOCHEMICAL INTERACTIONS,
Runnells, D.D.
Colorado University, Department of Geological Sciences,  Boulder,  Colorado.
Ground Water, Vol. 14, No. 6, p 374-385,  November-December 1976.   3 fig, 3 tab,
33 ref.

Descriptors:  *Waste water disposal, *Arid lands,  *Vadose water,  *New Mexico,
Geochemistry, Chemical reactions, Leachate, Waste water treatment,  Waste
dilution, Hydrogen ion concentration, Chemical precipitation. Hydrolysis,
Oxidation, Reduction  (Chemical), Filtration, Membrane processes,  Sorption.

Because of increasingly stringent laws governing discharge of fluid wastes to
surface waters, the alternative of discharge to the subsurface has become
attractive.  The physical-chemical processes that prevail in the subsurface are
not well understood, but they are clearly not identical to processes of
purification in surface waters.  Eleven physical-chemical processes can be
identified as having potential value for  purifying wastes discharged to the
subsurface, as follows:  dilution, buffering of pH, precipitation by reaction,
hydrolysis oxidation or reduction, filtration,  volatilization, biological
assimilation, radioactive decay, membrane filtration,  and sorption.   Discharge
to the vadose zone may be a safe means of disposal of  wastes in arid regions.
But it is necessary to carefully test the suitability of a particular site for
a particular waste.  Regulations governing subsurface discharge should take
into account the physical-chemical processes that may, act to purify the waste
fluids.  In one set of experiments, a soil from Sulfur Springs,  New Mexico,  was
capable of removing large quantities of dissolved molybdenum and copper from a
synthetic mill water, and the soil was able to quantitatively retain the copper
during subsequent leaching by fresh and metal-free mill waters.


76:05B-039
MONITORING CYCLIC FLUCTUATIONS IN GROUND-WATER QUALITY,
Pettyjohn, W. A.
Ohio State University, Department of Geology and Mineralogy, Columbus,  Ohio.
Ground Water, Vol. 14, No. 6, p 472-480,  November-December 1976.   9 fig, 13 ref

Descriptors:  *Water quality, *Groundwater, *Groundwater recharge,  *Water
pollution. Monitoring, Sampling, Wells, Water wells, Path of pollutants,
Chlorides, Brines, Oil fields. Rainfall,  Precipitation (Atmospheric), Aquifers,
Pollution, Fluctuations, Pollutants.

The chemical quality of water in many shallow and surficial aquifers exhibits
cyclic fluctuations.  These fluctuations  are caused by the intermittent flushing
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of contaminants into  the ground  during recharge events.   The contaminants  may  be
natural or reflect man's activities,  particularly waste  disposal schemes.   Over
the past 12 years, an oil  field,  brine-contaminated aquifer in central  Ohio has
been monitored.  Data from three closely spaced wells tapping selected  parts of
the aquifer indicated that brine is flushed into the ground during recharge
events, and that each contaminated mass maintains much of its integrity as it
sinks to the bottom of  the aquifer and then migrates laterally to the adjacent
river.  The most concentrated  mass that covers the largest area infiltrates during
the spring recharge period,  but  less  concentrated and smaller masses may occur
any time rainfall is  sufficient  to overcome the soil moisture deficiency.
Because of the cyclic nature of  recontamination events,  care and common sense
must be exercised in  the extrapolation of quality data,  particularly in regard
to estimation of contaminant flushing rates.


76:058-040
NONPOINT SOURCE POLLUTION  FROM AGRICULTURAL RUNOFF,
Haith, D.A., and J.V. Dougherty
New York State College  of  Agriculture and Life Sciences, Department of  Agri-
cultural Engineering, Ithaca,  New York.
Journal of the Environmental Engineering Division, American Society of  Civil
Engineers, Vol. 102,  No. EE5,  Proceedings Paper 12481, p 1055-1069, October 1976.
1 fig, 7 tab, 39 ref, 2 append.   OWRT B-030-NY(3).

Descriptors:  *Water  pollution sources, *Water quality,  *Agricultural runoff,
*New York, Nitrogen,  Phosphorus, Water pollution. Model  studies, Watersheds
 (Basins), Nutrients,  Storm runoff, Surface waters, Estimating,  Forecasting,
Agriculture, Agricultural  watersheds, Farm wastes.

An operational procedure was developed which is suitable for estimating nonpoint
source water pollution  due to  runoff  from agricultural land and is sensitive to
regional variations in  weather,  soils, and crop management.  Runoff was estimated
using the Soil Conservation Service's semi-empirical runoff equation.   Although
not presently applicable to snowmelt runoff,, the procedure could be extended to
winter runoff by use  of suitable estimating methods.  Nitrogen and phosphorus  in
agricultural runoff were estimated for a five-watershed  area totalling  578 sq  km
in Broome and Tioga Counties,  New York, for the years 1971 and 1972.  Comparison
was made with two other estimates which were obtained using areal loading  factors
 (losses of nutrients  per unit  area).   Although the three different estimates were
of comparable orders  of magnitude, the loading factor estimates were not sensi-
tive to the soils, weather, or crop distributions of the study region and  may
overestimate losses of  nitrogen  in agricultural runoff.


76:056-041
GEOELECTRIC SOUNDING  FOR DELINEATING GROUND-WATER CONTAMINATION,
Kelley, W.E.
Rhode Island University, Department of Civil and Environmental Engineering,
Kingston, Rhode Island.
Ground Water, Vol.- 14,  No. 1,  p  6-10, January-February 1976.   7 fig, 12  ref.

Descriptors:  *Resistivity, *Water pollution, *Landfills,  *Rhode Island,
Conductivity, Groundwater, Glacial aquifers, Water quality, Path of pollutants,
Monitoring.

A resistivity survey  was made  in the vicinity of a landfill in a glacial aquifer
to determine the extent of groundwater contamination. An examination of the
sounding curves and  logs of nearby test borings suggested a three-layer
geoelectric model for studying water quality variations.  The thicknesses  and
the resistivities of  the upper two layers were fixed. Differences in apparent
resistivity were assumed to be due only to differences in specific conductance
of groundwater in the saturated  zone  (third-layer resistivities).   Apparent
resistivities at the  largest probe spacing, 102 feet, were then computed for a
range of assumed third-layer resistivities.  Specific conductances corresponding
to third-layer resistivities were then computed using an assumed formation
factor of 4.5.  A relation between apparent resistivity  at the 102-ft spacing
and specific conductance was developed for converting apparent resistivities to
specific conductances.  Quadratic trend surfaces developed for specific
conductances measured at monitoring wells and computed from apparent resistivity
                                              197

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were shown to be in good agreement.  Under favorable conditions, interpretation
of electrical sounding curves provides a basis for estimating specific
resistivity methods.  This leads to a quantitative assessment of groundwater
contamination which compares favorably with that determined from monitoring
wells.


76:058-042
THE MODELLING AND CONTROL OF POLLUTION IN A RIVER SYSTEM,
Young, P-, Beck, B., and Singh, M.
Cambridge University, Department of Engineering,  (England).
Journal of Hydrology, Vol. 28, No. 2/4, p 289-316, February 1976.   (Published in
Amsterdam).  7 fig, 24 ref.

Descriptors:  *Water pollution control, *Mathematical models, *River systems,
*Water quality, Dissolved oxygen, Biochemical oxygen demand. Effluents, Sewage,
Design, Simulation analysis, Optimization, Equations, Systems analysis, Path of
pollutants.

A river which is being used either as a source for potable supply or for
recreation requires an adequate and, if possible, an automatic control system
for maintaining pollution levels within reasonable bounds consistent both with
the needs of the community and the requirements for maintaining a satisfactory
ecological balance.  This paper makes a preliminary examination of the design
of such a system by considering the dynamic modeling and control of dissolved
oxygen  (DO) and biochemical oxygen demand (BOD) in a river system.  This includes
a discussion on the derivation and verification of simple DO-BOD models for a
typical river, as well as initial thoughts on the operational control of sewage
effluent discharges in order to maintain specified levels of dissolved oxygen in
single and multiple reach river systems.


76:058-043
FLUVIC ACID AND AQUATIC MANGANESE TRANSPORT,
Zajicek, O.T. and Pojasek, R.B.
Massachusetts University, Department of Chemistry, Amherst, Massachusetts 01002
Water Resources Reaseach, Vol. 12, No.  2, p 305-308, April 1976. 2 fig, 3 tab,
30 ref.

Descriptors:  Manganese, Return flow, Water quality, Rivers, Water resources.
Organic compounds.

The role of allochthonous organic substances in the solubilization of manganese
was investigated.   The organic substances used were leachates of a variety of
watershed materials, fluvic acid, and a number of pure model compounds.  It was
found that manganese concentration and water color were directly proportional,
in most cases, and that the organic materials comprising the color are effect
in dissolving manganese oxides and stabilizing the dissolved manganese in sol-
ution.


76:058-044
CHLORIDE ACCUMULATION NEAR CORN ROOTS UNDER DIFFERENT TRANSPIRATION, SOIL MOIS-
TURE, AND SOIL SALINITY REGIMES,
Sinha, B.K. and Singh, N.T.
Punjab Agricultural University, Department of Agricultural Engineering, Ludhiana,
Punjab, India
Agronomy Journal,  Vol. 68, No. 2, p 346-348, March-April 1976. 3 tab, 8 ref.

Descriptors:  Corn, Chloride, Soil water, Soil moisture, Saline soil. Salinity,
Transpiration, Root zone, Root systems. Root development.

The magnitude of 36C1 accumulation around roots of corn plants exposed to low,
medium, and high transpiration rates was studied in laboratory experiments using
Tulewal loamy sand salinized to ECe of 3 and 6 mmhos/cm with sodium chloride.
Radioautographs and quantitative measurements of 36C1 in high transpiration treat-
ment showed the highest concentration of the element in regions closest to the
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root.  At high transpiration  rates  the chloride content of the soil close to the
roots increased while the  same  soil showed a decrease in the chloride content when
the plants were exposed  to low  transpiration treatment.   Chloride concentrations
in the 'apparent free space'  and soil close to the roots was two to three times
that in the bulk soil, depending upon the amount of water transpired/unit root
length.  At higher transpiration rates,  salt accumulation increased with  greater
soil moisture content but  was either unaffected or decreased closer to the root-
soil interface, when the transpiration rate was low.  The results indicate that
the salinity tolerance limits of plants would be greatly influenced by the pre-
vailing evaporative demand.


76:053-045
LEACHING OF PHOSPHATE AND  SELECTED  CATIONS FROM SANDY SOILS AS AFFECTED BY LIME,
Chaiwanakupt, P. and Robertson, W.K.
Thai Ministry of Agriculture, Agricultural Chemistry Division, Bankok, Thailand
Agronomy Journal, Vol. 68, No.  3, p 507-511, May-June 1976. 12 fig, 2 tab,  7 ref.

Descriptors:  Phosphorus,  Phosphate, Leaching, Cations,  Sandy soil, Lime,  Ground-
water, Soil investigations.

It  is  important to determine  if and to what extent P moves through some acid sandy
soils  and, in view of the  high  cost of fertilizer P and the problems associated
with pollution of groundwater,  what can be done to prevent or reduce the  movement
when it occurs.  Segmented columns, 25 cm in length and 5 cm in diam. , were used
to  study P leaching  in five mineral and one organic soil.  A total of 25  or 50 cm
H20 was passed through the columns, containing soil from various depths,  after
treatment in the top 2 cm  with  0 to 600 ppm P tagged with 32P.  Leaching  of K,
Ca, and Mg occurred  in all soils.  The amount was generally related to the CEC or
the  levels present in the  extractable form before the leaching began.  Leaching
of  Fe  and Al was determined only on soils where P leaching was appreciable.   These
ions generally leached with P but there was a direct relationship between leached
and 0.1 N HC1 extractable  ions.  These data are of value in evaluating and deter-
mining .P and lime requirements.


 76:05B-046
 SOIL NITRATE LOSS  DURING IRRIGATION:  ENHANCEMENT BY PLANT ROOTS,
Volz,  M.G., Ardakani,  M.S., Schulz, R.K., Stolzy, L.H. and McLaren, A.D.
Connecticut Agricultural Experiment Station, Department of Plant Physiology, New
 Haven, Connecticut  05604.

 Descriptors: Nitrate,  Leaching, Irrigation, Irrigation effects, Root  development,
 Barley,  Denitrification, Organic matter.

 Since  roots  can  both absorb NO-3 and supply organic matter for NO-3 reduction by
 soil microbes,  the  influence of a root system on No-3-N loss from soil solution
 during irrigation was  studied.   Two Hanford sandy loam plots, one fallow,  and
 the other  planted to CM-67 barley,  were ponded for 44 hours with a solution con-
 taining 100  ppm N and 46 ppm Cl- as KN03 and CaCl(2), respectively.  Nitrate—N,
 NO-2-N,  NH(+)4-N,  and Cl- concentrations in soil solution were determined and
 related to N uptake by roots and microbial transformation of NO-3.
 NUTRIENT MOVEMENT IN STREAMFLOW FROM AGRICULTURAL WATERSHEDS IN THE GEORGIA
 COASTAL PLAIN,
                                              eptment of Agriculture,  Southern
 Region, Southeast Watershed Research Unit, Tifton, Georgia                      _
 Priced at'the 1976 Winter Meeting of the American Society of Agricultural Engin-
 eers, December 14-17, 1976, Chicago, Illinois. 28 p, 12 fig, 3 tab, 7 ref.

 Descriptors: Nitrates, Nitrite, Runoff, Watersheds, Return flow, Georgia, Stream
 flow.

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As baseline information on nonpoint pollution,  the monitoring of nitrogen,  phos-
phates and chloride was begun in  1974 at  9  locations  within a predominately
agricultural Upper Coastal Plain  watershed  (311 to 32,751  ha)  at Tifton,  Georgia.
Stream flow was continuously measured at  all  sites.   Chemical load is computed
for one continuously sampled site, and  seasonal relationships are noted.
76:053-048
CONCEPTS IN THE CONTROL OF NONPOINT WATER POLLUTION,
Frere, M.H., Woolhiser, D.A., Caro, J.H., Stewart, B.A., Wischmeier,  W.H.
United States Department of Agriculture, Agricultural Research  Service,  Chickasha,
Oklahoma.
Presented at the National Water Resources and Ocean Engineering Convention of  the
American Society of Civil Engineers, April  5-8,  1976, San  Diego,  California,  24  p,
8 fig, 2 tab, 11 ref.

Descriptors:  Sediments, Salt salinity, Saline water, Saline  soils, Nutrients,
Fertilization, Pesticides, Return flow.

Sediment, salt, nutrients, and pesticides are the principal types of  pollutants
from nonpoint sources.  Pollution from nonpoint  sources is very difficult  to iden-
tify and monitor.  While standards have been established for municipal,  industrial,
and agricultural uses of water, adequate standards have not yet been  developed to
protect our environment.  The lack of standards  makes it very difficult  to judge
the adequacy of any control program.  In developing a control program there are
some methods that can be used over a broad  area.  These include education,  incen-
tive, taxation, or legal penalties.  All have good and bad points.  Many of the
practices that must be used to control pollution are site  specific; that is, the
practice must be designed for a specific field.  In some cases,  a practice may
solve one problem but create another.  ARS  has developed a set  of flow charts to
assist land planners in selecting practices for  croplands.  These charts should
cause the user to ^recognize the possible pollution sources and  to evaluate the
consequences of any practices selected to control these sources.  Similar  flow
charts could be developed for other land uses.


76:058-049
QUALITY MONITORING OF IRRIGATION WATER AND RETURN FLOWS IRRIGATION SEASON  1974,
Guitjens, J.C., Hamannah, C.N., and Miller, W.W.
Nevada University, Max C. Fleischmann College of Agriculture, Reno, Nevada.
Publication No. R114, July 1976. 81 p, 36 fig, 19 tab, 42 ref,  8  append.

Descriptors:  Irrigation water, Return flow, Irrigation practices, Irrigation
effects, Tailwater, Water quality, Sampling.

Quantitive and qualitative measurements of irrigation applications (head water)
to and return flow (tail water) from selected fields were made  a>t the Saram,
Heritage and Witt Ranches in the Carson Valley.  Totalizing flow meters  were used
to to measure quantity of irrigation water application as well  as the quantity
of surface return flow (tail water) at each site.  Water quality  samples were
taken at each of these metering points at 12-hour intervals and analyzed for
temperature, dissolved oxygen, biochemical oxygen demand, ortho-phosphate,  nitrate-
nitrogen, turbidity,  electrical conductivity, pH, calcium + magnesium, sodium,
bicarbonate, chloride, and sulfate.


76:05B-050
MODELING PESTICIDES AND NUTRIENTS ON AGRICULTURAL LANDS,
Donigian, A.S., Jr.,  and Crawford, N.H.
Hydrocomp,  Incorporated,  Palo Alto, California 94304
Environmental Protection Agency Report No.  600-2-76-043, February, 1976.

Descriptors:  Simulation, Runoff,  Hydrology, Soil erosion. Nitrogen, Phosphorus,
Snowmelt, Watersheds, Pesticides,  Return flow, Nutrients, Model  studies.

Modifications,  testing, and further development of the Pesticide  Transport and
Runoff (PTR)  Model have produced the Agricultural Runoff Management (ARM)  Model.
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The ARM Model simulates  runoff,  snow accumulation and melt,  sediment loss,  pesti-
cide soil interactions,  and  soil nutrient transformations on small agricultural
watersheds.  The report  discusses the major modifications to and differences  be-
tween the PTR and ASM Models.   An energy-balance method of snow simulation  and
a first-order transformation approach to nutrient modeling are included.  Due
to lack of data, the nutrient model was not tested with observed data;  testing
and refinement are expected  to begin in the near future.   Instrumented  watersheds
in Georgia provided data for testing and refinement of the runoff,  sediment and
pesticide portions of the ARM Model.  Comparison of simulated and recorded  values
indicated good agreement for runoff and sediment loss, and fair to good agreement
for pesticide loss.  Pesticides transported only by sediment particles  were sim-
ulated considerably better than pesticides that move both in solution and on
sediment.  A sensitivity analysis of the ARM Model parameters demonstrated  that
soil moisture and infiltration,  land surface sediment transport, pesticide-soil
interactions, and pesticide  degradation are the critical mechanisms in  simulating
pesticide loss from agricultural watersheds.


76:05B-051
LOADING FUNCTIONS FOR ASSESSMENT OF WATER POLLUTION FROM NONPOINT SOURCES,
McElroy, A.D., Chiu, S.Y., Nebfen, J.w., Aleti, A., and Bennett, F.W.
Midwest Research  Institute,  Kansas City, Missouri 64110
Environmental Protection Agency Report No. 600/2-76-151,  May, 1976.

Descriptors:  Pollutants, Pollutant idenficatien, Pollution abatement,  Water
pollution, Water  pollution sources, Water quality, Water quality control. Water
resources.

The rates and magnitudes of  discharges of pollutants from nonpoint sources  do not
relate simply to  source  characteristics or source-related parameters.   Evaluation
of the severity of  this  problem is hampered by the lack of tools to quantify  pol-
lutant loads, and scanty and inprecise data on the interrelationships between
control measures  and pollutant loads are a deterrent to formulation of  control or
regulatory  strategies.   This User's Handbook is the result of a program which had
as one objective  the development of nonpoint pollution loading functions for  sig-
nificant  sources  and  significant pollutants.  The Handbook has two basic functions.
First, it presents  loading functions together with the methodologies for their
use.  Second, it  presents some of the needed data, provides references  to other
sources of  data,  and  suggests approaches for generation of data when available
data  are  inadequate.   A corollary function consists of assessments of the ade-
quacies of  functions and their supporting inventories of data, and an assessment
as well of  the  extent  to which pollutants and nonpoint sources are adequately
covered.


76:056-052
SIMULATION  OF AGRICULTURAL RUNOFF,
Donigan, A.S.,  Jr.,  and Crawford, N.H.
Hydrocomp  Incorporated,  Palo Alto, California 94304
Presented  at the  National Water Resources and Ocean Engineering Convention  of the
American  Society  of Civil Engineers, April 5-8, 1976, San Diego, California,  26 p,
7 fig, 15  ref.

Descriptors:  Model studies, Return flow, Runoff, Sediments, Sedimentation, Pes-
ticides,  Nutrients,  Simulation analysis, Georgia, Water quality, Snowmelt,  Water-
shed  management.

Modifications,  testing,  and further development of the Pesticide Transport  Runoff
Model have  produced the Agricultural Runoff Management (ARM) Model.  The ARM  Model
simulates  runoff,  snow accumulation and melt, sediment loss, pesticide-soil
interactions,  and soil nutrient  transportation on small agricultural watersheds.
This  paper  briefly describes the ARM Model and discusses the results of Model
testing  for simulation of runoff, sediment, and pesticide loss.  Due to lack  of
data, the  nutrient model was not tested with observed data; testing and refine-
ment  of  the nutrient algorithms is  expected to begin in the near future.
                                            201

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76:058-053
NITRATE IN EFFLUENTS FROM IRRIGATED LANDS,
Pratt, P.F., Broadbent, F.E., McLaren, A.D., et al.
University of California, Kearney Foundation of Soil Science, Riverside, California
92502
Environmental Protection Agency Report No. PB-260 514, July, 1976.

Descriptors:  Effluents, Leaching, Irrigated land, Percolation, Nitrogen cycle,
Water flow, Soil mechanics, Return flow, Nutrients.

The objective of this program is to develop a capability to predict nitrate leach-
ing in drainage and percolating waters from irrigated lands.  The program is sub-
divided into projects:  (1) extensive field approaches to assess nitrate concentra-
tions and quantities of nitrate-nitrogen leached; (2) intensive field trials using
stable isotopes of nitrogen to follow its fate through the soil-crop system; and
(3) nitrogen transformations in the soil and the microbiological and physical
factors that control these transformations.  One project deals with computer model-
ing of the soil-crop-water system.  There is a need to know as much as possible
concerning all aspects of the nitrogen cycle in the soil-plant-water system, i.e.,
cycling in the system, fluxes into harvested crops, drainage or percolating waters,
and denitrification and ammonia volatilization into the atmosphere.  To predict
the leaching of nitrate from irrigated lands one must also understand and predict
water fluxes.  One of the dominant factors in nitrogen use efficiencies in the
system is water management, thus many papers deal with the problem of predicting
downward fluxes of water in a dynamic situation involving irrigation cycles and
a  growing crop.


76:058-054
FATE  OF SALTS FROM WATER AND MANURE IN A 4-YEAR FIELD EXPERIMENT,
Pratt, P.P., Davis, S., Adriano, D.C., Bishop, S.E., and Laag, A.E.
California University, Department of Soil Science and Agricultural Engineering,
Riverside, California.
Proceedings of the International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20, 1976, p 264-276. 3 fig, 5 tab, 9 ref.

Descriptors: Calcium, Magnesium, Sodium, Potassium, Drainage water. Farm wastes,
Irrigation water, Return flow. Leaching.

The removal of Ca, Mg, Na and K in harvested crops and in drainage waters was
measured for a 4-year experiment with animal manures.  For each cation the^amount
added in irrigation water and in manures minus removals in crops and by leaching
was assumed to have accumulated in the root zone of the soil.  Calcium, Mg and K
accumulated in the root zone whereas there was a net loss of Na.  The dominant
cation in the percolating water was Na, followed by Ca and then by Mg.  Very
little K was removed by leaching.  The dominate anion in the percolating water
was Cl.  The determined increase in carbonate, expressed as CaC03, in the soil
was correlated with the calculated Ca accumulation in the root zone.  The calcul-
ated Ca precipitated, as octacalcium phosphate assuming that all of the fixed P
converted to this form, was about 40% of the total Ca accumulation in the root
zone.  Accumulation of soluble salts in the root zone accounted for only about
6% of the total cation accumulation and there was no increase in CEC.  Thus, the
main mechanism for cation accumulation was precipitation or fixation.
76:058-055
DISTRIBUTION AND SEASONAL VARIABILITY OF MICRONUTRIENTS IN CERTAIN SALT AFFECTED
SOILS OF NORTHERN GREECE,
Papanicolaou, E.P., Anagnostopoulos, Tr., and Nobeli, C.
N.R.C. 'Democritos', Aghia Paraskevi, Athens, Greece.
Proceedings of the International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20, 1976, p 175-186. 12 fig. 19 ref.

Descriptors: Nutrients, Salts, Zinc, Iron, Copper, Boron, Soil salinity, Mangan-
ese, Leaching.

In two salt affected areas of Northern Greece the distribution and seasonal vari-
ability of B, Cu, Mn, Zn, and Fe along with the distribution and variability of
                                            202

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Regard-
saltsare .presented. -The 1fvels of boron are high in the soils of  both areas and
probably toxic to various plant species depending upon their relative  tolerance
to this element.  Copper and iron are probably present in normal levels while the
levels of manganese and zinc are probably low for the soils of both areas.  Regar
ing seasonal variability there is evidence of leaching for boron, copper, zinc,
and iron and also for salts during the rainy period, while the data for manganese
are rather inconclusive.  It is concluded that considerable amounts of micrbmif.ri-
ents will be leached out of these soils during reclamation.



76:05B-056
DETAILED RETURN FLOW SALINITY AND NUTRIENT SIMULATION MODEL,
Shaffer, M.J.
United States 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:  Model studies, Simulation analysis, Drainage, Nitrogen,  Nutrients,
Return flow, Water quality, Lysimeters, Irrigation effects, Salinity.

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 nitrogeneous species.  The program also includes crop up-
take 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, lysim-
eters, and laboratory columns.  The model has a we 11 -documented user's manual and
has been applied to several large irrigation projects.


76:058-057
A CONCEPTUAL HYDROSALINITY MODEL FOR PREDICTING SALT LOAD IN IRRIGATION RETURN
FLOWS ,
Tanji, K.K.
California University, Department of Land, Air, Water Resources,  Water Science
and Engineering Section, Davis, California.
Proceedings of the  International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20, 1976, p 49-70. 6 fig, 6 tab, 13  ref,  append.

Descriptors:  Model studies, Simulation analysis, Salinity, Return  flow, Irriga-
tion, Irrigation effects.

Presented herein is a description and applications of a steady-state conceptual
hydrosalinity model.  The model may serve as a first-order approximation in lieu
of more detailed and refined models for evaluating mass emission of salts from
irrigated agriculture.



HYDROSALINITY MODELING OF IRRIGATION RETURN FLOW IN THE MESILLA VALLEY, NEW MEXICO
McLin, S.G., and Gelhar, L.W.            '                     .
New Mexico Institute of Mining and Technology, Socorro, New Mexico.
Proceedings of the  International Salinity Conference, Texas Tech University,
Lubbock,  Texas, August 16-20, 1976, p 28-48. 7 fig, 2 tab, 28  ref.

Descriptors:  New Mexico, Model studies, Simulation analysis,  Aquifers.
    ^^i^.STS.'Si'SS.SS SSi£,?"S f-iS-SSSI,
 used  in  the model  to  transfer water between the aquifer and the stream may be
 physical!? unrealistic  in  that  it  is independent of aquifer properties and water
                                            203

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level.  Improvements which relate the stream-aquifer interaction to aquifer  proper-
ties and water level will be incorporated after the model has been tested over  a
long time frame in its current form.  Baseflow recession and well drawdown data
will be used to estimate the required aquifer parameters for the proposed model
improvements.


76:05B-059
IRRIGATION MANAGEMENT WHERE SALINITY SOURCES AND SINKS ARE PRESENT,
Hanks, R.J., Willardson, L.S., Jurinak, J.J., and Melamed, J.D.
Utah State University, Department of Soil Science and Biometerology, Logan,  Utah
Proceedings of the International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20, 1976, p 15-27. 6 fig, 1 tab, 14 ref.

Descriptors:  Salinity, Salts, Saline soil. Irrigation water, Irrigation, Irriga-
tion effects.

Where sources and sinks are presented irrigation must be modified considerably-
Sources and sinks are found where salts have precipitated out of the soil solution
(Sink) or dissolved into the soil solution from solid phase salts (Source).  An
empirical addition to a previous model was devised to account for these source-
sinks which were found to be very important in the field at Ashley Valley, Utah.
The model predicts that where sources are present, irrigation management varia-
tions has little influence on profile soil salinity for many years.   Similarly
it predicted that salt concentration into the drainage water will not change for
many years regardless of the irrigation management used.  Where a water table is
present irrigation less than enough to meet evapotranspiration demands will be
possible for many years with no adverse affect.   These predictions agree with
field measurements.
                                            204

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                                   SECTION XXV

                     WATER QUALITY MANAGEMENT AND PROTECTION

                         EFFECTS  OF  POLLUTION (GROUP  05C)


76:05C-001
SIGNIFICANCE OF WATER QUALITY  TO  WATER RESOURCES,
Valantine, V.E.
Colorado River Board of California,  Los Angeles,  California.
Presented at the National Water Resources and Ocean Engineering Convention of the
American Society of Civil Engineers, April 5-8,  1976,  San  Diego, California, 13 p,
1 tab, 4 ref.

Descriptors:  Water quality, Dissolved solids,  Saline  water, Economics, Water
resources, Water quality control.

Of the parameters of water quality,  the dissolved solids or salinity parameter
requires special attention by  water  resources planners as  it cannot be controlled
by filtration or biological reduction  processes.   As  salinity  levels in a water
supply rise, users of that supply are  subject to detrimental effects that impose
substantial costs on the users.   With  the increased recognition of these detrimen-
tal effects and their costs in recent  years,  conflicts have arisen between the
groups of users causing salinity  increases and those experiencing their impacts.
To resolve these conflicts, special  public works  projects  have been and are con-
tinuing to be constructed, changes costly of  both water and money have been and
are continuing to be made in the  operation of water resource projects. and private
investment plans are restructured at increased costs.


76:05C-002
MANAGING SALINE WATER FOR IRRIGATION,
Texas Tech University, International Center for Arid and Semi-Arid Land Studies,
Lubbock, Texas
Proceedings of the International  Salinity Conference,  Texas Tech University,
Lubbock, Texas, August 16-20,  1976.  618 p.

Descriptors:  Irrigation, Irrigation water, Irrigation effects, Salinity, Saline
soil. Saline water. Water quality, Water  quality  control,  Energy, Saline water
systems, Salt balance, Salts,  Model  studies,  Simulation analysis. Crop production.

Irrigation water salinity is becoming  an  increasingly  serious  problem as water of
less and less desirable quality is exploited  for  irrigation and as greater intens-
ity of water use leads to degradation.  Deteriorating  quality, combined with rapid-
ly increasing energy costs, has caused a  crisis  in water use in pump-irrigated
areas.  Similarly, river waters have become more  highly regulated, water evaporat-
ing from reservoirs concentrates  the salts, and new irrigation projects aggravate
the salinity problem for downstream  users.  An international conference was held
at Texas Tech University in 1976  to  assess the current state of knowledge about
managing saline water for irrigation and  to present new information on how to cope
with salinity.  Plant scientists,  soil scientists,  and engineers representing 20
countries participated in the  sessions.  Their findings are presented in this vol-
ume.  The tone of the papers is one  of optimism that moderately saline water can
be used successfully for irrigation  if what is known already and what is being
learned now is used effectively.   Mixed with  the  optimism  is the realization that
careless management of saline  irrigation  water can be  disastrous to the land and,
more importantly, to the people living on that land.
                                             205

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                                  SECTION XXVI


                     WATER QUALITY MANAGEMENT AND PROTECTION

                      WASTE TREATMENT PROCESSES  (GROUP  05D)


76:050-001
EVALUATION OF A SULFUR-THIOBACILLUS DENITRIFICANS NITRATE REMOVAL  SYSTEM,
Sikora, L.J., and Keeney, D.R.
Agricultural Research Service, Beltsville, Maryland.
Journal of Environmental Quality, Vol. 5, No. 3, p 298-303, July-September  1976.
6 fig, 3 tab, 32 ref.

Descriptors:  *Denitrification, *Septic  tanks, *Sewage  treatment,  *Domestic
wastes, *Nitrates,  *Biological treatment. Bacteria, Sulfates, Groundwater,
Sulfur, Carbon, Inorganic compounds, Organic  compounds, *Waste water  treatment,
Kinetics, Chemical  reactions.

A sulfur-Thiobacillus denitrificans nitrate removal system was evaluated as a
means of denitrifying nitrified septic tank effluent.   Duplicate 10 by 64 cm
columns were filled with a 1/1 mixture (by weight) of elemental sulfur and
dolomite chips and  were pretreated by recycling an enrichment culture of Thio-
bacillus denitrificans ATCC 23642 through the columns for 3 days.  Continuous
passage of the nitrified septic tank effluent containing 40 micrograms of
nitrate/miililiter  through the columns resulted in nearly complete nitrate
removal in 3.3 hours at steady state conditions.  The denitrification kinetics
appeared to be first order in the range  of nitrate concentrations  used.  Sulfate
was  the major sulfur end product and was present at relatively high concentra-
tions  (90 micrograms/milliliter).  Passage of column effluent through 10 by 60
cm Plainfield sand  columns did not significantly decrease sulfate  levels.   A
significant decrease in inorganic carbon content occurred with depth  in the
columns, but changes in organic carbon were insignificant.  Although  the use
of this-nitrate removal system appears promising, sulfate contamination of  the
groundwater may limit its applicability.


76:050-002
SOIL TEMPERATURES AND HEAT LOSS FOR A HOT PIPE NETWORK  BURIED IN IRRIGATED  SOIL,
Alpert, J.E., VanDemark, S.C., Fritton,  D.D., and DeWalle, D.R.
Energy Resources Company, Envrionmental  Science, Cambridge, Massachusetts.
Journal of Environmental Quality, Vol. 5, No. 4,  p 400-405, October-December
1976.  5 fig, 3 tab, 15 ref.

Descriptors:  *Heat, *Temperature, *Waste water disposal. Soil temperature,
Irrigation, Irrigation effects. Thermal conductivity, Heat flow, Model studies.

A 0.09-ha field prototype of a simultaneous waste heat and waste water disposal
system was constructed and instrumented.   Data are reported for soil, pipe,  soil
surface, and air temperatures; heat loss (0.068-0.117 cal cm(-2) min(-l));  and
soil thermal conductivity (3.61-5.63 meal (cm sec degrees C)(-1)).  The data are
used to evaluate the heat flow theory which is currently being used to predict
the land area required for waste heat disposal with a buried hot water pipe  net-
work.  Predicted heat loss was consistently lower than experimental heat losses.
The results of the experiment indicate that substantial improvements  need be
made in the existing theory to account for the transient heat flow and heat  stor-
age.   Research is currently being conducted to develop better predictive models.


76:050-003
OPTIMAL GROUND WATER QUALITY MANAGEMENT:  WELL INJECTION OF WASTE  WATERS
Willis, R.
Cornell University, School of Civil and  Environmental Engineering, Ithaca,
New York.
Water Resources Research, Vol. 12, No. 1, p 47-53, February 1976.  2  fiq,
3 tab, 24 ref.

Descriptors:  *Mathematical models, *Aquifers, *Waste water treatment, *Water


                                              •206

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quality. Water treatment, Cost-benefit analysis,  Groundwater,  "Injection wells.

A mathematical model for optimal  conjunctive utilization of  the  ground water
quality and quantity resources  of unconfined aquifers was constructed.  The sat-
urated zone of the ground water system was  considered a  component  of  a regional
waste treatment system.  The  model was designed so as to minimize  the cost of
surface waste treatment while maintaining acceptable water quality levels through-
out the aquifer.  Results indicate the feasibility of using  secondary waste water
treatment  (trickling filter)  in conjunction with the assimilation  capacity of the
unconfined aquifer for waste  water degradation and disposal.


76:050-004
SOIL TEMPERATURE  INCREASES  INDUCED BY SUBSURFACE LINE HEAT SOURCES,
Rykbost, K.A., Boersma, L., and Jarman, G.D.
Long Island Vegetable Research  Farm,  Riverhead,  New York 11901
Agronomy Journal, Vol. 68,  No.  1, p 94-99,  January-February  1976.   2  fig, 5 tab,
14 ref.

Descriptors:  Temperature,  Soil temperature, Heat, Heat  transfer,  Economics,
Energy, Energy conversion.

Generating electricity using  the  steam cycle produces large  quantities of waste
heat.  Conversion efficiencies  range from 32 to 38% which means  that  for three
units of energy  input about one unit of electrical energy is produced and two
units of waste heat must  be disposed of.  Circulating the condenser cooling water
through a  network of underground  pipes would result in warming the soil.  The
present study was initiated to  evaluate the effect of increased  soil  temperatures
on crop growth,  the energy  balance of the proposed system, and the economic
feasibility  of the  system.   This  report presents results of  the  energy balance
studies.


76:050-005
UNIFORM SLURRY SPREADING  WITH A CENTER PIVOT IRRIGATION  SYSTEM,
Chapman, J.A. and Myers,  R.G.
Valmont Industries, Incorporated, Valley, Nebraska
Presented  at the 1976 Winter Meeting of the American Society of  Agricultural
Engineers, December 14-17,  1976,  Chicago, Illinois. 11 p, 4  fig, 3 ref.

Descriptors:  Farm  waste,  Sprinkler irrigation, Irrigation,  Irrigation practices,
Economics.

A design for the automated  distribution of  liquid manure through center-pivot
irrigation systems  has  been developed.  The design is functionable and achieved
its  basic  goals.  Under many conditions it appears to be highly  cost  effective
when compared to current  liquid manure handling systems.
                                              207

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                                  SECTION XXVII

                     WATER QUALITY MANAGEMENT AND PROTECTION

                     ULTIMATE DISPOSAL OF WASTES  (GROUP 05E)


76:05E-001
PROCEEDINGS OF THE CONFERENCE ON SALT AND SALINITY MANAGEMENT,
California University, Davis, California 95616
Proceedings of the Conference held at Santa Barbara, California, September  23-24,
1976, Report #38, December 1976. 166 p.

Descriptors:  *Salts, *Salinity, *Water management, *Water quality control,
legislation, *Political aspects, *Institutions, Irrigation, Waste water disposal,
California, Operations, Technology, Soil tolerance, Water utilization.
 (see 76:05G-020)
                                            208

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                                 SECTION  XXVIII

                     WATER QUALITY MANAGEMENT AND  PROTECTION

                  WATER TREATMENT AND  DISTRIBUTION (GROUP 05F)


76:05F-001
VYREDOX-IN SITU PURIFICATION OF  GROUNDWATER,
Hallberg, R.O., and Martinell, R.
Stockholm University, Department of Geology,  (Sweden).
Ground Water, Vol. 14, No. 2, p  88-93, March-April 1976.  6 fig,  1 tab, 22 ref.

Descriptors:  *Iron, *Manganese, Permeability,  *Water  treatment,  Iron bacteria,
Clogging, Aeration.

The abundance and relative purity of groundwater guarantees its increase in
usage.  In some localities, the  content  of  iron and manganese  in  groundwater is
so high that these metals must be removed before the water can be used for
drinking or industrial purposes.  Iron occurs in two  states of oxidation in
nature, the divalent  (ferrous) and trivalent  (ferric)  forms.   The Vyredox
method developed in Finland and  used now in Sweden oxidizes the ferrous ion,
which is soluble in water, to the ferric ion, which in insoluble, before the
water enters the well.  The Vyredox method  achieves a  high degree of oxidation
in the strata around the well.   The method  makes use of iron oxidizing bacteria
and aeration wells.  A number of aeration wells are placed in  a ring around the
supply well.  Water is forced down the aeration wells  but first it is degassed
and then enriched with oxygen.   The oxygen  rich water  provides a  suitable habitat
for the iron oxidizing bacteria  which  assist  in the oxidation  of  ferrous iron.
The process must be repeated at  specific time intervals to avoid  further
increases of iron content.  The  process  of  precipitating iron  in  the aquifer has
only a slight effect on aquifer  permeability.   Cloggage of the aquifer
surrounding the well should not  occur  for a period many times  longer than the
life span of a typical well.  Formulas provide  estimates of the time in which
aquifer cloggage can occur and the radius at which aeration wells should be
placed.
                                            209

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                                 SECTION  XXIX

                     WATER QUALITY MANAGEMENT AND PROTECTION

                       WATER QUALITY CONTROL  (GROUP  05G)


76:05G-001
SULFURIC ACID FOR THE TREATMENT OF AMMONIATED IRRIGATION WATER:  II.  REDUCING
CALCIUM PRECIPITATION AND SODIUM HAZARD,
Miyamoto, S., and Ryan, J.
New Mexico State University, Department  of Agronomy, Las Cruces, New Mexico.
Soil Science Society of America Journal, Vol. 40, p  305-309, 1976.   1  fig,  6  tab,
13 ref.

Descriptors:  *Irrigation operation and  maintenance, *Hydrogen sulfide,  *Mine
wastes, Irrigation efficiency, Water utilization, Water quality. Southwest
U.S., Infiltration, Ammonia, Lime, Chemical wastes,  Industrial wastes, Pollution
abatement. Fertilizers.

Effects of the application of ammonia and sulfuric acid to ammoniated water on
Calcium precipitation and Na-Hazard of irrigation water are evaluated  theoreti-
cally, using known relations of ion equilibria, and  tested with  laboratory  and
greenhouse experiments.  Results show severe precipitation of Ca2+ when  ammonia
is applied to alkaline irrigation water.  Ammonia application also increases
exchangeable Na and NH4, and can reduce  water infiltration rates, especially
when irrigation waters contain high Na+  relative to Mg2+ and Ca2+.   Sulfuric
acid applied to ammoniated water neutralizes OH- produced by ammonia application,
reducing Ca precipitation and exchangeable Na.  This prevents a  decline  in  infil-
tration rates.  Sulfuric acid, now available as a pollution abatement by-product
in the Southwest, can be used for correcting excessive lime incrustation or poor
water penetration induced by the use of  hydrous or aqua ammonia  without  corrod-
ing irrigation systems.


76:05G-002
GUIDELINES FOR SEDIMENT CONTROL IN IRRIGATION RETURN FLOW,
Carter, D.L.
Agricultural Research Service, Snake River Conservation Research Center,
Kimberly, Idaho.
Journal of Environmental Quality, Vol. 5, No.  2, p 119-124, April-June 1976.
1 tab, 17 ref.

Descriptors:  *Return flow, *Erosion control,  *Irrigation practices, *Irrigation
water, *Sediment control, Water quality. Agriculture, Runoff, Flow,  Furrow
irrigation, Erosion, Cultivation, Filtration.

Sediments in irrigation return flows arise mostly from erosion in furrows during
irrigation, and sediment concentrations  vary widely from near zero to several
thousand ppm.  Reducing both erosion and runoff"would decrease the sediment in
return flows.  Technology is available for reducing Doth erosion during  irriga-
tion and soil loss from the land, and for removing sediments from return flows.
This technology was discussed, and the following guidelines  were suggested:  (1) "
Eliminate or reduce irrigation return flows when conditions permit using irriga-
tion methods with little or no runoff. (2) Control the irrigation furrow slope
so that the run is across the steepest slope or on the contour.  Decrease the   '
slope near the end of the furrow to reduce the flow velocity and increase sedi-
mentation.  (3)  Control the furrow stream size and make proper stream adjust-
ments.   Adequate water measuring equipment and controls are essential for proper
stream size control.  (4) Shorten the run length.  (.5) Control the irrigation
duration to reduce the number of irrigations per season.  Alternate  furrow  irri-
gation reduces the contact between soil  and flowing and subsequent erosion. :  (6)
Cultivate only when necessary, avoiding  excessive soil loosening which increases
erosion and soil loss.  (7)  Control tailwater by assuring that it flows.;Slo&l:y
enough that sediments settle before the water leaves the field.  Filtering
through grass strips removes sediments.   (8) Utilize sediment retention  basins
to remove sediment from return flows.
                                             210

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76:050-003
HYDROLOGY OF SALINE SEEPS  IN  THE  NORTHERN GREAT PLAINS,
Doering, E.J., and Sandoval,  F.M.
Agricultural Research Service,  Northern Great Plains Research Center  Mandan
North Dakota.
Transactions of the American  Society of Agricultural Engineers,  Vol. 19   NO  5
p 856-861, 865, September-October 1976.  7 fig, 4 tab,  16 ref.          '       '

Descriptors:  *Seepage,  *Groundwater movement, *Water quality,  *Seepage control,
*North Dakota, On-site  investigations,  On-site tests, Measurement,  Instrumenta-
tion, Saline water, Salinity, Nitrates, Chlorides, Hydrographs,  Hydrology,
Groundwater, Subsurface drainage.  Tile  drainage, Hydrologic data.

Hydrologic data collected  between 1970  and 1975 show: (1)  that seeps are  sus-
tained by local recharge,  i.e., by soil water that percolates past  the root
zone of the adjacent upslope  landscape, (2)  that seep development is closely
related to recent climatic and  cultural events, and (3)  that hydraulic control
can be quickly accomplished with  interceptor drains.  Effluents from two  drains
were saline, with nitrate  concentrations consistently high enough to be hazard-
ous to health of humans and livestock.


76:056-004
THE ROLE OF SYSTEMS ANALYSIS  IN THE USE OF AGRICULTURAL WASTES,
Schlute, D.D., and Kroeker, E.J.
Manitoba University, Department of Agricultural Engineering, Winnipeg, Manitoba,
Canada.
Journal of Environmental Quality, Vol.  5, No. 3, p 221-227, July-September  1976.
4 fig,  21 ref.

Descriptors:   *Systems  analysis,  Wastes, Model studies.  Simulation  analysis,
Linear programming, Dynamic programming.

Agricultural waste management is  a multidisciplinary field which has grown  in
an attempt to  solve problems of agricultural by-product utilization and disposal.
Development of meaningful  solutions to  agricultural waste management problems
will be much simpler  if practitioners and researchers educate one another and
together work  to  solve  the different problems of the producer.   Many disciplines
have already become  involved in the problem-solving process; yet, there is  a
need for a generalist  in agricultural waste management who can bridge disciplin-
ary gaps and promote' effective  cooperation between specialists in various fields
of study.  Systems analysis can serve a useful purpose in agricultural waste
management by providing a  focal point for cooperation between disciplines work-
ing on  various aspects  of  the problem.   Systems analysis has been used to:  (i)
provide a common  structure for  comparison of agricultural waste management
strategies;  (ii)  identify  processes or  links within waste-utilization systems
which are costly  or  sensitive to operating conditions;  (iii) predict effects of
external constraints  such  as government policy, fertilizer taxes, and prices on
the effectiveness of waste-utilization  strategies; (iv)  yield information to
predict where research  funds would be spent most effectively;  and  (v)  assist in
technology transfer  from researchers to practitioners through the aid of  compu-
ter-based education models.


76:05G-005
DIFFUSE AGRICULTURAL POLLUTION:  THE ECONOMIC ANALYSIS OF  ALTERNATIVE CONTROLS,
Schneider, R.R., and Day,  R.H.
Wisconsin University, Department  of Agricultural Economics,  Madxson, Wisconsin.
Wisconsin Water Resources  Center,  Madison, Technical  Report WIS WRC,  1976.
98 p 76-02, 16 fig, 30  tab, 8 maps,  72  ref.   2 append.   OWRT A-063-WIS(2).
14-31-0001-5050.

Descriptors:  *Agricultural runoff,  *Nitrates, 'Sediment yield,  *Sediments,
'Nutrients, Agriculture, *Farm  management, Crops,  'Fertilizers,  *Water pollution
sources, *Farm wastes,  Legislation,  *Wisconsin,  Water policy. Water  pollution
control, Alternative planning.

This study examines policies  designed to curtail 3 types of diffuse  agricultural
pollution!  (1) Runoff  from winter-spread manures;  .(2) Sediment  in rill and
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sheet erosion;  (3) Nitrate polution of groundwater  resulting from field-applied
manure and chemical nitrogen.  The following policies  are  tested on four farm
sizes at 7 locations:  (1) enfource Wisconsin's Model Sediment Control Ordinance;
(2) prohibit all manure spreading in winter;  (3) prohibit  winter manure spread-
ing on sloped land;  (4) prohibit winter manure spreading close to streams,  lakes,
or open ditches;  (5) restrict the excess of applied nitrogen over estimated plant
uptake of nitrogen;  (6) combine 1, 3, 4, and 5 above;  (7)  combine 1,  2, and 5
above,; (8) restirct average total sediment yield.  The effects of these policies
on efficiency of resources allocation, and their differential impact  in the gla-
ciated and unglaciated regions of the state are explored.  The framework for
efficiency analysis is that of a partial competitive equilibrium.   The estimation
of appropriate data for the analysis is an important and integral part of the
study.  The marginal cost of pollution reduction is calculated for each policy
and the marginal cost curve is generated for a sediment policy on selected  farms.
These data are presented along with the physical quantities  of pollutant reduction.


76:050-006
THE INFLUENCE OF TRICKLE IRRIGATION ON THE QUALITY  OF  IRRIGATION  RETURN FLOW,
Brown, K.W., Gerard, C.J., DeMichele, D.W., Sharpe, P.J.K.,  and Hipp,  B.W.
Texas A and M University, Department of Soil and Crop  Sciences, College Station,
Texas.
Texas Water Resources Institute, College Station, Completion  Report TR-70,  March,
1976.  77 p, 3 fig, 19 tab, 10 ref.  OWRT B-156-Tex(l), 14-31-0001-4128.

Descriptors:  Water quality, *Leachate, Leaching, Sorghum, *Rio Grande River,
*Return flow, *Texas, Nitrates, *Lysimeters, *Salt  balances,  *Computer models,
Simulation analysis. Soil treatment, Crop production,  Irrigation  water.

The influence of trickle irrigation on the quality  of  irrigation  return flow was
investigated in a field study and by means of computer simulation models.   Six
undisturbed buried monolith lysimeters were utilized to quantify  the  leachate
from treatment including two different qualities of irrigation  water  applied
through a trickle irrigation system.  Both moisture and salt  balances  were
followed indise and outside the lysimeters during a growing  season the  remainder
of the calendar year.  A sorghum crop was grown on  the lysimeters and  in  the
adjacent area.  Irrigation was scheduled based on pan  evaporation losses.   The
irrigation water of high salt content was obtained  from a deep  well while the
irrigation water of low salt content was drawn from the district  irrigation
canal.  The water balance monitored by the neutron  probe showed that  differences
between inside and outside lysimeters were small.   The soil contained  significant
concentration resulting from irrigation treatment are difficult to see  after one
year of monitoring.  Differences between paired lysimeters are  large  indicating
large variability in soil characteristics across the field.   Differences  in water
use inside and outside the lysimeters indicated that during the 1974  growing
season, which was dryer than normal, the sorghum crop may have  extracted  approx-
imately 8% of the water required from the water table.   Yield and growth  data
indicated that the plant root environments inside and outside lysimeters were
relatively comparable.  Nitrogen, saline water and  irrigation treatments did not
significantly influence growth and yields of sorghum in 1974.


76:05G-007
LOSSES OF NITROGEN IN SURFACE RUNOFF IN THE BLACKLAND PRAIRIE OF TEXAS,
Kissel, D.E., Richardson, C.W., and Burnett, E.
Texas Agricultural Experiment Station,  College Station, Texas.
Journal of Environmental Quality, Vol.  5, No.  3,  p  288-293, July-September  1976.
4 tab, 1 fig, 16 ref.
(see 76:056-018)


76:05G-008
AN OPTIMIZATION MODEL FOR REGIONAL WATER QUALITY MANAGEMENT,
McNamara,  J.R.
Lehigh University, Department of Economics, Bethlehem,  Pennsylvania.
Water Resources Research, Vol.  12, No.  2, p 125-134, April 1976.  3 fig,  2  tab,
26 ref.
                                             212

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Descriptors:  *Water quality,  *Management,  *Pollution abatement,  "Optimization
-Hudson River, Waste treatment,  Marginal costs,  Flow, Regulation,  Biochemical
                                                                 '            1
                                                           models,


The use of combinations  of  pollution abatement techniques will become imperative

trea^n? ll*lL? ""^ ^  f^^ ™& the 'Potion of secondary*"^
treatment at each point  of  discharge becomes inadequate to maintain the  desired
levels of water quality.  At  high levels of waste treatment,  costs  rise  non-
linearly with the fraction  of waste removed.   The marginal cost of  each  of  a
series of pollution abatement techniques at a given location is likely to be
less than the marginal cost of  a  single technique operated very intensively
Herein, a nonlinear programming model for water quality management  is developed,
capable of assessing  the contributions of a variety of pollution abatement  tech-
niques and compatible with  an efficient solution procedure.   Formulated  as  a geo-
metric programming problem, the model is intended to be a preliminary selection
device permitting the planner to  compare alternative configurations and  to  sketch
a roughly optimal solution.   It is shown that this formulation permits the  simul-
taneous consideration of waste  treatment processes,  bypass piping,  flow  regulation,
and artificial aeration  in  determining a least-cost solution to a given  water
quality management problem.   The  model is applied to the upper Hudson River of
New York.


76:050-009
FIELD DRAINAGE WITH MANIFOLD  WELL POINTS,
Rektorik, R.J.
Agricultural Research Service,  Weslaco,  Texas.
Transactions of the American  Society of Agricultural Engineers,  Vol.  19, No. 1,
p 81-84, January-February 1976.   2 fig,  4  tab,  6 ref.

Descriptors:  *Drainage  systems,  *Drainage wells,  *Rio Grande River,  *Texas,
Water quality control, Aquifers,  Plastic pipes,  Well screens,  Water table,
Dewatering, Drawdown, Drainage, On-site investigations,  Leaching, Cost analysis,
Depth, Transmissivity, Storage  coefficient,  Pumping, Electric power costs,
Centrifugal pumps, Reclamation, Root zone,  Hydraulic gradient,  Cathodic  protec-
tion, Corrosion, Electrolysis.

A field study of a maniforl well  point system was conducted  in a highwater  table,
shallow aquifer in the lower  Rio  Grande Valley of Texas.   The objectives of the
study were to determine  how effectively well point drainage  systems work, how
long they would last, their design, and their installation and operational  cost,
PVC pipe was used for the wells and manifold piping,  and plastic screens were
used for the well points.   These  materials offer much resistance to both corro-
sion and electrolytic problems  and, as such,  show promise for a long service life.
The cost of well point systems  at about $250/ha is materially lower than the
 (370-$500/ha for pipe drain systems.   The design of well point systems depends
on variations in aquifer parameters.   Straight line configurations  are most eco-
nomical to construct  but do not produce the most uniform drawdown.   Water removal
of about 0.26 1/s/ha  provided adequate control of the water  table in the study
ares and permits leaching of  salts by irrigation or rainfall.



EQUITY'CONSIDERATIONS IN CONTROLLING NONPOINT POLLUTION FROM AGRICULTURAL SOURCES,
Miller, W.I., and Gill,  J.H.                         .
Purdue University, Department of  Agricultural Economics, Lafayette,  Indiana.
Water Resources Bulletin, Vol.  12, No. 2,  p 253-261, April 1976.  3 tab, 12 ref.

Descriptors:  *Water  pollution  control,  *Agriculture,  *Linear programming,  *Farms,
Size, ^Economic impact,  "Indiana, Constraints, Research, Mathematical models,
Systems analysis, Water  pollution sources.

The objectives of the research  reported in this paper are:  (1)  to  compare  the
relative economic impact on large and small farms of applying a statewide soil

                                              213

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and between different topographic areas resulting from application of taxes-
subsidies on soil loss.  Accomplishing these objectives will illuminate  some  of
the equity consequences of application of two quite different approaches to con-
trolling nonpoint pollution from agricultural sources.  A linear programming
model has been used to analyze the objectives.  The model includes an objective
function to maximize model and includes objective function to maximize net revenue
to the farm firm by selecting among a wide array of management parctices applied
on several different soil groups.  It is concluded that the imposition of standard
state soil loss rules has an unequal impact on the income of different size firms
located in different topographic regions.


76:05G-011
POLLUTER DISCRIMINANT ANALYSIS,
Tock, D.G., and Wright, G,P.
Krannert Graduate School of Industrial Administration, Lafayette, Indiana.
Water Resources Research, Vol. 12, No. 4, p 613-616, August 1976.  1 fig, 3 ref.

Descriptors:  *Water pollution control, *Data collections, Coasts, Great  Lakes,
Statistical methods, Mathematical models, Systems analysis.

A unique water pollution data base for the U.S. coastal waterways and Great Lakes
that has been evolving since 1965 is discussed.  The pollution statistics in this
data base are used to develop a model, employing multiple discriminant techniques,
to determine which pollution incident report variables will discriminate  the pol-
luter who reports his spill from the polluter who does not report his spill.   The
results of the analysis indicate that as few as nine out of a possible sixty
variables provide reasonable discriminatory power.


76:05G-012
ON THE INCOME DISTRIBUTIONAL EFFECTS OF ENVIRONMENTAL MANAGEMENT POLICIES,
Campbell, H.F.
British Columbia University, Department of Economics, Vancouver, British Columbia.
Water Resources Research, Vol. 12, No. 5, p 1077-1080, October 1976.   3 tab,  6 ref,
1 append.

Descriptors: *Water resources, *Income distribution, *Effects, *Environmental
control, *Effluents, *standards, *Treatment, Technology, Behavior, Simulation
analysis, Prices, Mathematical models, Systems analysis, Optimum development plans.

This paper analyzes the effect of three environmental policy instruments—effluent
charges, effluent standards, and effluent treatment subsidies—-in the context of
a two-person two-firm general equilibrium model in which the distribution of in-
come varies with the choice of policy instrument.   It is demonstrated that, under
reasonable assumptions about the income distribution process and the nature of
consumer preferences, each policy instrument corresponds to a different optimal
quantity of effluent and a different set of optimal prices.  The implication of
this result is that consideration of income distributional effects should play an
integral part in the formulation of optimal environmental management policies.


76:056-013
CATHODIC PROTECTION WELLS AND GROUNDWATER POLLUTION,
Ritchie, E.A.
California State Department of Water Resources, Sacramento, California.
Ground Water, Vol.  14, No. 3, p 146-149, May-June 1976.  3 fig, 5 ref.

Descriptors:  *Cathodic protection, *Water pollution, *Hydraulic conductivity,
Groundwater, Infiltration, Wells, California, *Corrosion.

The cathodic protection well can endanger groundwater quality by providing a path
for pollutants to reach usable water supplies.  Cathodic protection wells allevi-
ate electrolytic corrosion of pipelines, tanks and other installations situated
in a corrosive environment.  This is done by redirecting the current to  a substi-
tute anode which then deteriorates, instead of the structure being protected.
Cathodic protection wells normally are from 100 to 500 feet in depth and  8 to 10
inches in.diameter.  To prevent cathodic protection wells from acting as  convey-
ences for pollutants, they must be properly designed and constructed, and when
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                                  SECTION XXXIV

                            WATER RESOURCES  PLANNING

                     WATER LAW AND  INSTITUTIONS  (GROUP  06E)


76:06E-001
AGRICULTURAL LEGISLATION'S POTENTIAL  IN  REDUCING  DISCHARGE OF POLLUTANTS,
Gambell, E.L.
United States Department of Agriculture,  Program  Analysis, Environmental Quality
and Land Use Staff, Agricultural Stabilization and Conservation Service,
Washington, D.C.
Water Resources Bulletin, Vol. 12,  No. 6, p  1171-1179,  December 1976.  12 ref.

Descriptors:  Agriculture, Pollution  abatement. Legal aspects. Legislation,
Agricultural runoff. Return flow. Water  quality -

Agricultural lands  (including most  forest lands)  make up almost four-fifths of the
total land area of  the United States  and include, or are traversed by, perhaps an
equal proportion of our ground and  surface waters.  Therefore, a very large part
of our environment  is directly  'agriculture-related' in any consideration of the
discharge of pollutants.  Several important  Federal and State laws relate to the
control or abatement of agriculture-related  pollution.  Existing legislation
generally mandates  the control or abatement  of pollution  (from point or nonpoint
sources) or authorizes the use of public funds or other resources for such purposes.
Some of these laws  can be effective instruments in keeping pollutants from being
discharged into surface or ground waters or  into  the air, but the degree to which
som pollutants originating from agricultural lands and  operations constitute a
serious environmental hazard in waters remaining  controversial.  Although most of
the technology exists to reduce greatly  the  movement of these pollutants, invest-
ments are often required which benefit the nonfarm public without economic returns
to the farmer.  Whether a zero discharge is  either an environmentally or
economically feasible alternative to  more limited or selective control, is
explored.  However, if the public is  willing to bear its reasonable share of the
cost for clear air  and water, the needed basic legislation already largely exists.
Under it, agricultural land holders may  apply program standards and use their own
and available program resources to  bring about effective control or abatement of
pollutants.


76:06E-002
INSTITUTIONAL PROBLEMS OF ENERGY PRODUCTION,
Trelease, F.J. Ill
Wyoming Water Planning Program, State Engineer's  Office, Cheyenne, Wyoming 82001
Water Resources Bulletin, Vol. 12,  No. 5, p  931-939. October 1976. 2 fig, 2 tab,
3 ref.

Descriptors:  Institutional constraints,  Institutions,  Planning, Permits, Energy,
Oil shale, Wyoming, Coals, Water resources.

The Rocky Mountain  and Great Plains Regions  of the West have recently come into
focus as a fuel source for an energy  hungry  nation.  Development of energy re-
sources will require compliance with, or regulation under many established
'institutions'.  New institutions,  such  as plant  siting permits and tougher en-
vironmental and land use controls are being  established.  A year ago the nation
seemed to be moving rapidly towards Project  Independence—achieving national
self-sufficiency in energy production.   Now  there appears to be several factors
that are combining  to impede the energy  development, and these include national,
regional, and local policies, problems associated with  financing, environmental
concerns, and reluctance to change  (or be impacted by development).  The institu-
tion of the courts  has even come into paly.   Western coal, oil shale, and uranium
resources will require water to convert  them into usable forms of energy.  This
is true whether the resources are converted  into  fuel or electricity at the mine
sites or elsewhere.  Western water  law and a broad background of water develop-
ment experience should pave the way for  providing the water necessary for develop-
ment of the energy minerals.  On the  other hand,  the water institutions may be
formed in ways or may be utilized in  ways to create another impediment to energy


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development.  Wyoming water resources and water law will be discussed in this
paper as an example.


76:06E-003
PROCEEDINGS OF THE CONFERENCE ON SALT AND SALINITY MANAGEMENT,
California University, Davis, California 95616
Proceedings of the Conference held at Santa Barbara, California, September  23-24,
1976, Report # 38, December 1976. 166 p

Descriptors:  *Salts, *Salinity, *Water management, *Water quality control,
legislation, *Political aspects, *Institutions, Irrigation, Waste water disposal,
California, Operations, Technology, Soil tolerance, Water utilization.
(see 76:05G-020)
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                                 SECTION  XXXV

                            WATER RESOURCES PLANNING

                      NONSTRUCTURAL ALTERNATIVES  (GROUP  06F)


76:06F-001
LAW, HYDROLOGY, AND SURFACE-WATER SUPPLY  IN THE UPPER COLORADO RIVER BASIN,
Jacoby, G.C. Jr., Weatherford, G.D., Wegner, J.W.
Lamont-Doherty Geological Observatory,  Palisades, New York.
Water Resources Bulletin, Vol. 12, No.  5,  p 973-984, October 1976.  4 fig, 24
ref.

Descriptors:  *Colorado River Basin, *Water resources development, *Colorado
River Compact, *Water law. Legal aspects.  Hydrology, Water  supply. Surface
waters, River basin development, Water  resources. Water  Allocation (Policy),
Water demand, Streamflow, Water policy, Groundwater, Boulder Canyon Project Act,
Colorado River, Dendrochronology.

The relationship between law and hydrology in water resources development is
discussed.  Law attempts to allocate a  limited and valuable resource while
hydrology tries to define the limits of the resource.   In the past an inadequate
data base has made hydrologic estimates difficult and political  factors pushed
the law into possibly conflicting commitments  in  the Colorado River Basin.  The
water allocation process and the role of  hydrology in defining the risk of
deficiency  are described and a historical overview of the interaction between
law and hydrology is presented.  Using  tree-ring  research,  hydrologists have
produced a  more definite data base and  thus given legal  policy makers more
reliable information.  As development approaches  the resource limit in the
Upper Colorado River Basin,  lawyers and hydrologists must act in concert toward
the equitable  solution of allocation and  reallocation problems.
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                                 SECTION XXXVI

                                 RESOURCES DATA

                          DATA ACQUISITION (GROUP 07B)


76:07B-001
CORRECTION OF "TUBE CONTRIBUTION" INTERFERENCE IN THE DETERMINATION OF HEAVY
METALS BY X-RAY SPECTROSCOPY USING THE "ADDITIONS TECHNIQUE",
Keramidas, V.Z., and Fanning, D.S.
Maryland Agricultural Experiment Station, Department of Soil Science, College
Park, Maryland.
Soil Science Society of America Journal, Vol. 40, No. 6, p 857-860, November-
December 1976.  2 fig, 1 tab, 7 ref.

Descriptors:  *Heavy metals, Zinc, Copper, Nickel, Soil chemistry. Soil proper-
ties, Soil investigations. X-ray spectroscopy-

Cr and W X-ray tubes emitted not only the target characteristic lines but the
lines of Fe, Zn, Cu, and Ni as well.  Such extraneous radiation, which probably
originates primarily from contamination of the tube target by the metals and is
referred to as "tube contribution," may lead to erroneous qualitative interpre-
tation of X-ray spectra because peaks of the elements may appear in the spectra
when the element is not present in the sample.  The additions (or spiking)
technique allows matrix problems to be overcome in the quantitative measurement
of Zn, Cu, and Ni in soil and other materials, but an accurate estimation of the
background under the peak is essential.


76:078-002
A SEMIAUTOMATED PROCEDURE FOR TOTAL NITROGEN IN PLANT AND SOIL SAMPLES,
Gallaher, R.N., Weldon, C.O., and Boswell, F.C.
Florida University, Department of Agronomy, Gainesville, Florida.
Soil Science Society of America Journal, Vol. 40, No. 6, p 887-889, November-
December 1976.  2 fig, 1 tab, 12 ref.

Descriptors:  *Nitrogen, Laboratory tests, Laboratories, Soil investigations,
Soil properties.

This study evaluated inexpensive alternatives for the determination of total N
in plant and soil samples.  Plant and soil samples which varied widely in N
concentration were digested in a 126-sample-capacity Al block digester followed
by determination of total N with the ammonium electrode in a semiautomated
reaction vessel assembly.  The proposed Ammonium electrode semiautomated  (AES)
procedure was compared to standard micro-Kjeldahl and aluminum block digested-
steam distilled-titrated  (ABDDT) procedures.  Thirty to 50 more samples could be
analyzed per 8-hour day with the proposed simiautomated procedure as compared
to standard micro-Kjeldahl methods.  The precision of the methods were comparable
but significantly more N was found by using the ABDDT procedure.


76:07B-003
ESTIMATING WATER SALINITY WITH GEOPHYSICAL EARTH RESISTIVITY EQUIPMENT,
Halvorson, A.D., and Reule, C.A.
United States Department of Agriculture, Agricultural Research Service, Western
Region, P.O. Box 1109, Sidney, Montana.
Soil Science Society of America Journal, Vol. 40, No. 1, p 152-153, January-
February 1976.  2 fig, 1 tab, 5 ref.

Descriptors:  *Salinity, *Salts, Laboratory tests. Soil salinity. Water salinity.

A procedure is described for estimating salinity of water samples in the  field
using a geophysical earth resistivity meter and four-electrode conductivity cell.
Using field collected water samples, a linear relationship of Y = 1.02(X) + 0.12,
r = 0.996, was obtained between Electro conductivity at 25 degrees centigrade
values determined using a commercial laboratory bridge and cell  (Y), and  those
determined using an earth resistivity meter and an easily fabricated, four-


                                             234

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electrode conductivity  cell  (x).


76:07B-004
A METHOD FOR SECTIONING SATURATED SOIL CORES,
Reddy, K.R.,  and Patrick,  W.H.  Jr.
Louisiana State  University,  Department of Agronomy, Baton Rouge,  Louisiana
Soil Science Society of America Journal, Vol. 40, No.  4,  p 611-614,  July-August
1976.  3 fig,  2  tab, 5  ref.

Descriptors:   Laboratory tests. Sampling, Soils,  Soil  physical properties.
Soil investigations, Ions, Cores.

A simple system  for sectioning water-saturated cores without prior freezing
is described.  The method describrd can be used for studying the  distribution
and movement of  ions in soil or sediment cores prepared in the laboratory or
obtained in undisturbed form from the field.  The average coefficient of  varia-
tion was 4.8% for the sectioning of the cores prepared in the laboratory  and
10.5%  for the sectioning of the cores obtained from the field.


76:07B-005
IN SITU MEASUREMENT OF  GAS DIFFUSION COEFFICIENT IN SOILS,
Lai, S.H.,  Tiedje, J.M., and Erickson, E.
Michigan State University, Department of Crop and Soil Sciences,  East Lansing,
Michigan.
Soil Science Society of America Journal, Vol. 40, No.  1,  p 3-6, January-
February 1976.  4 fig,  3 tab, 12 ref.

Descriptors:  Soils, Soil investigations, Soil profiles,  Gas chromatography,
Soil properties. Carbon dioxide.

A method for determination of the gas diffusion coefficient of soils without
disturbing  the natural  state of the soil was developed.  The method was based
on the theory of radial diffusion of a finite quantity of gas into a semi-infin-
ite porous  medium.  Needles were inserted into the soil through which O2  was
injected.   The change of concentration of the injected 02 was determined  by
gas chromatography through the same needle after increasing periods of time.
A least  square fit between the measured 02 concentrations and that of the
theoretical values was  conducted to find the best fit  value of the diffusion
coefficient.  The diffusion coefficient determined by  the proposed method was
used to  calculate the flux of CO2 in field soils.  The flux so calculated was
compared to that measured from the field with good agreement.  The method was
used in  several  different field soils and conditions to determine the diffusion
coefficients.


 76:07B-006
 EVALUATION OF METHODS  FOR PRESERVING  THE  LEVELS  OF  SOLUBLE  INORGANIC PHOSPHORUS
 AND NITROGEN  IN UNFILTERED WATER SAMPLES,
 Klingaman,  E.D.,  and Nelson, D.W.
 Purdue University,  Agricultural  Experiment  Station, Lafayette, Illinois.
 Journal of Environmental  Quality, Vol.  5, No. 1, p  42-46, January-March 1976.
 3 tab, 11 ref.

 Descriptors:  *Nitrogen, *Phosphorous, *Nitrate,  Sampling, Laboratory test,
 Surface runoff,  Drainage  water.

 Several methods for preserving the levels of  soluble inorganic phosphorus (SIP),
 ammonium,  and nitrate  in  surface runoff,  tile drainage water, and river water
 were evaluated.    The best overall technique  for  preservation of water samples
 for P  and N analysis appeared to be storage  at subzero temperatures.  The SIP
 concentration in  samples  was also stabilized by  addition of HgC12 (40 mg/liter)
 and storage at 4C; however, the  ammonium  and nitarte levels in samples were
 not preserved for long periods of time  (12 weeks) by this technique.  The
 soluble inorganic N levels in water samples were preserved by addition of
phenylmercuric acetate  (20 mg/liter)  and  storage at 4C, but use of this
procedure  increased the SIP concentration in some samples during storage.
 Storage  of  samples at  4C or 23C without addition of a chemical preservative
                                              235

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 resulted in large changes in soluble inorganic  P  and  N  contents.


75:07B-007
EFFECT OF PRETREATMENT ON LOSS OF NITROGEN-15-LABELLED FERTILIZER NITROGEN  FROM
WATERLOGGED SOIL DURING INCUBATION,
McKenzie, E. Jr., and Kurtz, L.T.
Prairie View A and M University, Prairie View, Texas.
Soil Science Society of America Journal, Vol. 40, No. 4, p 534-537, July-August
1976.  1 fig, 3 tab, 27 ref.

Descriptors:  *Denitrification, *Nitrogen, *lncubation,  Soil chemical properties.
Soil tests, Soil investigations, Soils, Nutrients.

Soil preparation treatments  (field-moist, intact cores;  oven dried, intact  cores;
and oven dried, crushed, screened soil)  greatly influenced fertilizer nitrogen
loss under waterlogged conditions in the laboratory.  Nitrogen  (300 pp2m) as
N-15-labelled calcium nitrate was added to samples from  selected horizons of
Drummer silty clay loam and they were subsequently covered with water and incuba-
ted for 0, 4, 8, 16, and 32 days.  Samples of upper  (above 51 cm) soil horizons
were incubated at 21C while those from deeper horizons were incubated at 18C.
Oven-drying and crushing of the soil during preparation  increased fertilizer
nitrogen loss.  Only 34% of the fertilizer nitrogen disappeared from field-moist,
intact soil cores while approximately 90% disappeared from both oven-dried,
intact cores and crushed screened samples.  Maximum rate of denitrification of
fertilizer nitrogen in field-moist, intact cores was 3.58% of the applied nitro-
gen per day.  This rate was approximately one-third of that in the oven-dried,
intact cores and one-ninth of that in the oven-dried, crushed samples.


76:07B-008
CATION-EXCHANGE CAPACITY OF ACID SOILS USING ALUMINUM CHLORIDE AND BARIUM
CHLORIDE-TRIETHANOLAMINE,
Alexander, E.B.
United States Forest Service, Department of Soil Science.
Soil Science Society of America Journal, Vol. 40, No. 6, p 961-963, November-
December 1976.  1 tab, 6 ref.

Descriptors:  Laboratory tests, Cation exchange, Soil properties, Soil tests.
Soil investigations.

Base saturation is such an important criterion for classifying soils in the U.S.
Soil Taxonomy that a procedure has been developed for scantily equipped field
laboratories.  Exchange acidity and cation-exchange capacity (CEC)  are determined
in sequence with the same samples.  The procedure involves (i)  displacement of
exchangeable hydrogen and Al with BaC12-triethanolamine  solution and back-titra-
tion with HC1 to determine the exchange acidity, (ii) saturation with Al from
A1C13 solution,  (iii) removal of excess Al with water,  (iv) displacement of Al
with BaC12-triethanolamine solution and back-titration with HC1 to determine the
exchange capacity, and (v) estimation of basic cations by the difference between
the CEC and the exchange acidity.  This is an extension of a well-established
procedure for determining exchange acidity.  The CEC results compare closely with
the sums of cations for acid subsoils, but are low for Al horizons with much
organic matter.


76:07B-009
DETERMINATION OF THE HYDRAULIC CONDUCTIVITY - DRAINABLE  POROSITY RATIO FROM
WATER TABLE MEASUREMENTS,
Skaggs, R.W.
North Carolina State University, Department of Biological and Agricultural
Engineering, Raleigh, North Carolina.
Transactions of the American Society of Agricultural Engineers, Vol. 19, No. 1,
p 73-84, January-February 1976.  13 fig, 25 ref.
(See 76:02F-005)
                                             236

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76:076-010
A TECHNIQUE TO DETERMINE  IRON  EFFICIENCY IN PLANTS,
Brown, J.C., and Jones, W.E.
United States Department  of Agriculture, Agricultural Research Service,  Plant
Stress Laboratory, Beltsville, Maryland.
Soil Science Society of America  Journal, Vol.  40,  No.  3  p  398-405   May-June
1976.  6 fig, 3 tab, 16 ref.                                      '

Descriptors:  Iron, Crop  response,  Fertilization,  Soil tests,  Soil investigations,
Nutrients, Crop production.

Soil tests should predict crop response  to fertilization.   In  the case of Fe,
plant factors seem to  affect the use  of  Fe by  the  plant; thus,  soil tests may
not be reliable.  Use  of  soil  Fe by plants is  genetically  controlled by  an adap-
tive mechanism which is activated in  Fe-efficient  plants in response toFe-stress,
but remains inactive if Fe is  sufficient.   Fe-inefficient  plants develop less
Fe-stress response than Fe-efficient  plants.   Using  this range of Fe-stress
response in plants as  a basis, we developed a  technique  to screen plants for Fe
efficiency.  A limited supply  of Fe and  some control using nutrient solutions,
N only as N03,- and N as NH4 and  N03,  and by varying  the  CaC03  and P concentra-
tions in the solutions.   The optimum  supply of Fe  (0.2 mg  Fe/liter)  was  deter-
mined by growing the plants at different Fe concentrations.


76:07B-011
LINE SOURCE SPRINKLER  FOR CONTINUOUS  VARIABLE  IRRIGATION-CROP  PRODUCTION STUDIES,
Hanks, R.J., Keller, J. ,  Rasmussen, V.P.,  and  Wilson,  G.D.
Utah State University, Department of  Soil Science, Logan,  Utah.
Soil Science Society of America  Journal, Vol.  40,  No.  3, p 426-429,  May-June
1976.  3 fig, 2 tab, 4 ref.

Descriptors:  *Sprinkler  irrigation,  Irrigation,  Irrigation systems, Irrigation
effects. Crop production. Crop response, Fertilization.

The design details and a  sample  set of field test  results  for  a line source
sprinkler plot irrigation system are  presented.  The system produces a water
application pattern which is uniform  along the length of the plot and continu-
ously, but uniformly variable  across  the plot. By applying a  fertility  variable
along a plot  (at right angles  to the  water variable)  planted in some test crop,
the system offers a convenient means  for developing  crop production function
data.  The system test area and  water supply are both small.   However, the
application of the system may  be limited by wind and all water application lev-
els within a plot must be supplied at the same irrigation  frequency.


76:-7B-012
SOIL SOLUTION CONCENTRATIONS:  EFFECT OF EXTRACTION  TIME USING POROUS CERAMIC
CUPS UNDER CONSTANT TENSION,
Severson, R.C., and Grigal, D.F.
United States Geological  Survey, Department of Soil  Science, Denver, Colorado.
Water Resources Bulletin, Vol. 12,  No. 6,  p 1161-1170, December 1976.  4 fig,
2 tab, 12 ref.

Descriptors:  Soil water. Potassium,  Calcium,  Phosphorus,  Moisture  tension,
Soil moisture, Lysimeters, Soil  investigations. Laboratory studies.

Proous ceramic cups under constant tension (0.45 bar)  were used to  extract
solutions from undisturbed soil  columns.  Solution concentration changed with
length of extraction time. Significant  relationships were found between
extraction time and concentrations of P, Ca, and K in soil solution for  two
sample depths in an Omega loamy  sand  soil column.  At two  extraction time
classes and at two sample depths, combined data from 12  soil columns
representing two soil  series reinforce the relationship.   As time to extract a
sample increases, the  sample probably represents  solution  held by soil at
tensions approaching those applied to the ceramic  cup.  We recommend that the
choice of an extraction tension  be given consideration in  studies using  porous
ceramic cups under constant tension for  monitoring constituents of  soil  solution.
In addition, care must be taken  to attain good physical  contact between  the cups
and the soil material.
                                             237

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76:078-013
EVALUATION OF RESITANCE AND MASS TRANSPORT EVAPOTRANSPIRATION MODELS REQUIRING
CANOPY TEMPERATURE DATA,
Blad, B.L., and Rosenberg, N.J.
Nebraska University, Institute of Agriculture and Natural Resources,
Agricultural Meteorology Section, Department of Agricultural Engineering,
Lincoln, Nebraska.
Agronomy Journal, Vol. 68, No. 5, p 764-769, September-October 1976.   9  fig,
19 ref.

Descriptors:  Alfalfa, Satellites, Canopy, Temperature, Evapotranspiration,
Hydrology, Water management, Model studies. Subsurface irrigation. Remote
sensing, Advection.

The  increasing use of thermal  scanners on aircraft and satellites makes  it  likely
that data on surface temperature for large areas will become routinely available.
If reliable evapotranspiration methods which incorporate surface temperature data
can  be developed, an important tool for research and application in hydrology,  in
irrigation scheduling, and in  other water management procedures will result.  A
'resistance model' which  stems from the work of Brown and Rosenberg and  a mass
transport  (Daltonian) model for estimating evapotranspiration  (ET) were  tested  on
large fields of naturally subirrigated alfalfa.  Both models make use of crop
canopy temperature data.  Temperature data were obtained with an IR thermometer
and  with  leaf thermocouples.  A Bowen ratio-energy balance  (BREB) model,
adjusted  to account for underestimation of ET during periods of strong sensible
heat advection, was used  as the standard against which the resistance and mass
transport model did not agree  quite as well.  Performance was good on clear and
cloudy days and also during periods of nonadvection of sensible heat.  The
performance of the mass transport and resistance models was less satisfactory
for  estimation of fluxes  of latent heat for short term (15 min) periods.  Both
models tended to overestimate  at low LE fluxes.


76:07B-014
PERFORMANCE OF THE SILVER-PSYCHROMETER FOR MEASURING LEAF WATER POTENTIAL IN
SITU,
Hoffman,  G.J., and Hall.,  A.E.
Western Region, Agricultural Research Service, United States Department  of
Agriculture, P.O. Box 672, Riverside, California  92502
Agronomy  Journal, Vol.  68, No. 6, p 872-875, November-December 1976.  4  fig,
17 ref.

Descriptors:  Moisture  stress, Temperature, Humidity, Radiation, Soil moisture,
Soil water.

Continuous in situ measurements of leaf water potential are often needed in
studies of the soil-plant-atmosphere continuum.  The development of the  silver-
foil thermocouple psychrometer has made these measurements possible.  The
objective of the investigation was to evaluate the performance of the silver-
foil psychrometer under various steady-state and dynamic conditions.  Leaf water
potential measurements were made in situ on pinto bean in a controlled environ-
ment plant chamber where  temperature, relative humidity, CO2 concentration,
radiation, and photoperiod were precisely controlled.  Typically, the psychrometer
will reach equilibrium with an intact leaf 2 hours after attachment.  Consistent
leaf water potentials are attainable when the leaf temperature varies by as much
as 0.25 C/min.  This thermal stability is as good as that of any multijunction
psychrometer described to date.  At radiation levels below 50 Wm(-2), leaf water
potential readings can be made on unshaded leaves; above this level, the leaf
must be shaded to prevent thermal gradients across the leaf and psychrometer.
The  silver foil psychrometer responded to rapid oscillations in leaf water
potential.  During oscillations, leaf water potential preceded leaf conductance
and  transpiration by one-third of the oscillation period.  Net photosynthesis
oscillated in phase with  leaf conductance, indicating that net photosynthesis
is limited by the internal C02 concentration, even at very low irradiances.
                                            238

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76:07B-015
SAMPLING THE UNSATURATED  ZONE  IN IRRIGATED FIELD PLOTS,
Pratt, P.P., Warneke, J.E.,  and  Nash,  P. A.
California University, Department of Soil Science,  Riverside,  California   92502.
       ce?Cu S°cie^ of America  Journal,  Vol.  40, No.  2,  p 277-279,  March-April
    •  6 tclfo f  I 3TSZ .
Descriptors:  Nitrate, Chloride,  Drainage water.  Salinity,  Electrical  conductance,
Farm waste. Soils, Soil  investigations,  Irrigation,  Irrigation effects,  Sampling.

Data obtained from samples  from each of  10 holes/plot for one  plot  from  each of
three soils were  subjected  to statistical analysis and used to formulate plans
for sampling the  1.5-  to 4 . 5-cm depth of 48 experimental  plots that had  received
animal manures.   The statistical analysis of these three  plots suggested that 10
holes/plot and  10 samples/hole woulc provide plot means within about 20  percent
of the true means for  nitrate and chloride concentrations and  electrical
conductivity of saturation  extracts, except for one  soil  which had  residual salts
in highly variable concentrations at the 3.0- to  4. 5-cm depth.   The sampling
procedure developed gave satisfactory results when statistical analysis  of the
effects of manure treatments, soils and  irrigation levels on nitrate,  chloride
and EC(e) were measured.


76:076-016
EXTENDED FIELD  USE OF  SCREEN-COVERED THERMOCOUPLE PSYCHROMETERS ,
Brown, R.W. and Johnston,  R.S.
United States Department of Agriculture  Forest Service, Intermountain  Forest and
Range Experiment  Station,  Ogden,  Utah 84401
Agronomy Journal, Vol.  68,  No. 6, p 995-996, November-December 1976. 1 fig, 1 tab,
7 ref.

Descriptors:  Soil water.  Soil moisture. Data collection.

The use of screen-covered thermocouple psychrometers for  insitu measurements of
soil water potential has been criticized because  of  possible soil and  micro-
organism contamination through the screen covering.   Double- junction Peltier
psychrometers with a screen covering were installed  in the soil under  field con-
ditions for periods ranging from 2 to 40 months of continuous  exposure,  and were
then removed and  examined for evidence of loss of calibration  sensitivity and
contamination by  soil  particles and micro-organisms.  The uncleaned psychrometers
were recalibrated in the laboratory and  then disassembled and  examined under a
microscope  (250 times)  for contamination.  Although  slightly more than half of
the units lost  some sensitivity after field exposure, the average decrease was
less than 5%.   The psychrometer cavities were all nearly  free  of soil  particles,
the thermocouple  junctions were shiny, and no evidence of microbial attack was
evident.  It appears that long-term field exposure of screen-covered psychrometers
is no more detrimental to their performance than  that of  ceramic or other psychrom-
eters.


76:07B-017
ALGORITHM FOR SOLAR RADIATION ON MOUNTAIN SLOPES,
Swift, L.W. Jr.
United States Department of Agriculture, Coweeta  Hydrologic Laboratory,  South-
eastern Forest  Experiment Station, Forest Service, Franklin, North  Carolina 28734
Water Resources Research,  Vol. 12, No. 1, p 108-112, February  1976.  2  fig, 1 tab,
17 ref.

Descriptors:  Algorithms,  Solar radiation, Computer  models. Model studies, Mountains.

A generalized algorithm provides the daily total  of  potential  solar radiation on
any sloping surface at any latitude.  The algorithm can be coded as subroutines
of a computer model that requires solar  radiation as a variable.  The  required
inputs are Julian dates and the latitude, inclination, and aspect of the slope.
In addition to  computing potential solar radiation,  the routine provides estimates
of actual radiation on any slope on the  basis of  measured solar radiation for a
nearby horizontal surface that has the same cloud cover.
                                              239

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76:07B-018
MEW TECHNIQUE FOR MEASURING THE WATER POTENTIAL OF DETACHED LEAF  SAMPLES,
United States Department of Agriculture Forest Service, Intermountain  Forest
and Range Experiment Station, Ogden, Utah 84401
Agronomy Journal, Vol. 68, No. 2, p 432-434, March-April 1976.  4  fig,  7  ref.

Descriptors:  Evaporation, Sampling, Leaves.

Evaporative losses and contamination in sample disks after they are  cut  from plant
leaves often cause errors in measurements of water potential.   A  new technique for
collecting detached leaf disks to measure water potential eliminates most  of the
errors associated with other methods.  The leaf cutter, contains a double-junction
Peltier thermocouple psychometer.  When a leaf disk is removed  from  the  plant,
it can be sealed immediately against the cavity containing the  psychometer.
76:078-019
EVALUATION OF AN ELECTRONIC FOLIOMETER TO MEASURE LEAF AREA IN CORN AND  SOYBEANS,
Hatfield, J.L., Stanley, C.D., and Carlson, R.E.
California University, Atmospheric Sciences Section, Department of Land, Air,  and
Water Resources, Davis, California 95616
Agronomy Journal, Vol. 68, No. 2, p 434-436, March-April 1976.  2 fig, 1 tab,  5  ref.

Descriptors: Corn, Soybeans, Measurement.

Known areas were measured with an electronic foliometer to determine the errors
involved with this instrument.  Good agreement between measured and known areas
was  found and there was high accuracy and precision for both the conveyor belt
and  sheath method.  Thests were made comparing the foliometer, a planimeter, and
maximum length times maximum width (LW) for soybeans and comparing foliometer  and
LW for corn.  There was close agreement between planimeter and foliometer measure-
ments for soybeans  (r = 0.99).  The foliometer compared favorably with LW for  corn
 (r = 0.96).  Coefficients for converting LW measurements to leaf areas were deter-
mined for soybeans and three corn hybrids.


76:07B-020
SIMULATION MODEL FOR NUTRIENT UPTAKE FROM SOIL BY A GROWING PLANT ROOT SYSTEM,
Caassen, N. and Barber, S.A.
Agronomy, Fusagri, Cagua, Venezuela.
Agronomy Journal, Vol. 68, No. 6, p 961-964, November-December 1976. 1 fig, 1  tab,
13 ref.

Descriptors:  Simulation analysis, Mathematical models, Model studies, Nutrients,
Computer programs, Corn, Potassium, Diffusion.

Mathematical models of nutrient uptake by plants are useful for investigating  the
effect of various soil and plant factors on nutrient flux to plant roots.  The
objective of this research was to develop a model based on theoretical consider-
ations of the processes of nutrient uptake by plant roots growing in soil and  then
to test the model experimentally.  The soil and plant factors used in the model
were to be measured independent of final nutrient uptake.  The model for flux  by
mass flow and diffusion to the root was patterned after that of Nye and Marriott.
The  absorption kinetics of the root were assumed to follow Michaelis-Menten kin-
etics.  The Nye-Marriott model gives the nutrient concentration at the root with
time.  From this accumulated uptake per sq cm of root surface with time was cal-
culated.  Rate of root growth was assumed exponential for the growth of  the young
plant.  Uptake per sq cm of root with time was combined mathematically with rate
of root growth to get total uptake with time by the plant.  The present program
assumes root hairs do not affect uptake and that roots do not compete for nutrients.
76:07B-021
A SYSTEM AND PROGRAM FOR MONITORING C02 CONCENTRATION, GRADIENT, AND FLUX  IN AN
AGRICULTURAL REGION,
Rosenberg, N.J. and Verma, S.B.
                                             240

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Nebraska University,  Institute  of Agriculture and Natural Resources,  Department
06 Agricultural Engineering,  Lincoln,  Nebraska 68583
Agronomy Journal, Vol.  68,  No.  2, - 414-418,  March-April 1976.  3 fig,  6 ref.

Descriptors:  Photosynthesis, Carbon dioxide, Nebraska,  Sampling,  Wind speed,
Air temperature.  Data collections.

Because of the changing global  concentration  of carbon dioxide  and the possible
effects of thas change on  photosynthetic activity worldwide,  a  program has  been
developed for monitoring atmospheric carbon dioxide concentration  and  gradients
representative of a  large  agricultural region.  The program is  carried out  at
Mead, Nebraska.   A meteorological tower is equipped with sampling  intakes at
various elevations up to 16 m,  through which  air is drawn to  the laboratory for
analysis with infra-red gas analyzers.  An automatic calibration system has been
developed to permit  hourly checks of analyzer performance.  Profiles of wind
speed and air temperature  are also measured.   The equipment,  the calibration tech-
niques, and the errors associated with the measurements  of C02  concentration and
gradients are described.   Some  initial observations of C02 concentrations and
fluxes are presented.


76:07B-022
THE CONCENTRATION OF DISSOLVED  SOLIDS AND RIVER FLOW,
O'Connor, D.J.
Manhattan College, Department of Civil Engineering, Bronx,  New  York 10471
Water Resources Research,  Vol.  12,  No. 2, p 279-294, April 1976.   15 fig, 2 tab,
18 ref.

Descriptors:  Dissolved solids, River flow. Rivers, Return flow.

A general expression ^for the spatial and temperal distribution  of  conservative
dissolved solids  in  freshwater  rivers which incorporates the  contribution of both
the groundwater and  surface water components  of river flow is presented.  The
first part of this paper deals  with the steady state conditions.   With certain
simplifying assumptions the correlation between concentration of dissolved  solids
and flow is developed for  both  spatially uniform and nonuniform conditions.  The
analysis includes the effect of both geophysical discontinuities and point  sources.
Examples from a number of  rivers throughout the country  are presented  to indicate
the utility of the analysis.  The second part addresses  the temporal variation  of
the dissolved solids concentration for two time scales.   One  describes the  annual
variation in concentration due  to the time variable components  of  the  river flow,
and the second the variation over a semimonthly period due to a time variable
point input.  Applications to a variety of river conditions are also presented
for the time variable analysis.


76:07B-023
AN AUTOMATIC SYSTEM  FOR MEASURING SALT CONCENTRATION PROFILES IN POROUS MEDIA,
Barnes, P.L., Smajstrla, A.,  and Reddell, D.L.
Texas A and M University,  Department of Agricultural Engineering,  College Station,
Texas
Presented at the  1976 Winter Meeting of the American Society  of Agricultural
Engineers, 14 p,  December  14-17, 1976, Chicago, Illinois.  5 fig,  2 equ, 9 ref.

Descriptors:  Salinity, Soil salinity, Saline soils.

The construction  of  a low-cost  salinity sensor is described which  is easily con-
structed   Also,  an  electronic  circuit which automatically reads and records field
and laboratory data  from multiple salinity sensors is presented.   With this sys-
tem, salinity data can be  collected from several hundred sensors in a  short time
period.  This information  can be used to predict and manage real land  potential
pollution movements  in soils.



POLLUTION PROBABILITY ESTIMATED BY SMALL STORM FREQUENCY,
Lewis, R.B., Huaser, V.L., Menzel, R.G., and Ross, J.D.
Texas Tech University, Department of Agricultural Engineering,  Lubbock, Texas.
                                             241

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Presented at the 1976 Winter Meeting of the American Society of Agricultural
Engineers, 23 p, December 14-17, 1976, Chicago, Illinois. 10 fig, 4 tab,  10 ref.

Descriptors:  Surface runoff, Runoff, Return flow, Water quality. Water quality
management, Hydrologic data, Hydrologic aspects, Nebraska, Corn, Crop production.

The concentration of chemicals in surface runoff water is often an important con-
sideration.  Water soluble chemicals which are applied to the surface of  plants
or soil may appear in the highest concentration in runoff water from small storms.
Because of this, some aspects of water quality management require quite different
hydrologic information than has been required to solve problems considered in
the past.  This study of small storms in the central Great Plains near Hastings,
Nebraska, revealed much about small storms and their relation to water quality.
Contour cultivation of corn substantially decreased the number of runoff  events
resulting from small storms, and thus substantially decreased the likelihood of
pollution from surface applied chemicals.  Our finding agrees with past concepts,
like the large decrease in annual runoff from corn which results from contour
tillage.  However, contour tillage of small grains (wheat and oats)  did not cause
a corresponding decrease in the number of runoff events from small storms.  This
finding conflicts with annual runoff data that shows a decrease in runoff from
contour tillage of small grains.


76:07B-025
A MODEL TO PREDICT TOTAL ENERGY REQUIREMENTS AND ECONOMIC COSTS OF IRRIGATION
SYSTEMS,
Chen, K-K,m Wensink, R.B., and Wolfe, J.W.
Oregon  State University, Department of Agricultural Engineering, Corvallis, Oregon.
Presented at the 1976 Winter Meeting of the American Society of Agricultural
Engineers, 23 p, December 14-17, 1976, Chicago, Illinois. 11 fig, 4  tab, 4 ref.

Descriptors:  Computer models, Model studies, Simulation analysis, Economics,
Irrigation, Irrigation systems, Sprinkler irrigation, Surface irrigation, Energy.

A computer model has been developed to simulate total fossil energy requirements
and economic costs for hand move, side roll, solid set, permanent, center pivot,
drip and surface systems.  In addition to evaluating a specific design, the
analyst can direct the program to search for minimum economic and/or minimum energy
designs for a specific system.  The moedl was used to determine the effects of
static  pumping lifts on minimum energy and minimum economic designs.  The fossil
energy  utilization hierarchy was shown to be a function of pumping lifts, with
the surface system the most efficient at zero-foot lift and the least efficient
at pumping lifts above a few hundred feet.  The economic hierarchy was also a
function of pumping lifts.  However,- drip produced the lowest annual per acre cost
at all  pumping depths.  The difference in annual fossil energy requirements and
economic cost between energy and economic designs were relatively small.  However,
initial investment costs of the energy designs averaged 11.6 percent larger than
the economic designs.  Although economic designs annually consumed an average of
76 kilowatt-hours more electric energy than energy designs, energy designs annual-
ly cost 7.24 dollars per acre more.  '


76:078-026
SOIL SALINITY TESTING IN THE FIELD,
Irrigation Journal, Vol. 26, No. 1, p 14-15, January-February 1976.  3 fig.

Descriptors:  Salinity, Saline soil, Electrical conductance, Electrodes.

One of the more important chores of an agricultural water manager treating saline
soils is getting accurate information of the concentration and extent of soluble
salts in such soils.  Eyeballing crops and soils in such areas is not enough
since salinity may reduce crop yields by as much as 25 percent without visible
symptoms.  U.S.  Department of Agriculture at the Agricultural Research Service's
Salinity Laboratory in Riverside, California, has developed two devices that
could make life easier for those charged with keeping salinity down to manage-
able levels.  The devices may one day play a part in reducing or preventing farm
income losses from salinity as well as aid in preventing environmental pollution.
                                            242

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76:076-027
INFORMATION STORAGE AND  RETRIEVAL FOR EVALUATION OF IRRIGATION POTENTIAL,
Rochester, E.W., McGuire,  J.A.,  and Stallings,  J.L.
Auburn University, Agricultural  Experiment Station, Auburn,  Alabama  36830
Paper No. 76-2035, Presented  at  the Annual Meeting of the American Society of
Civil Engineers, June  27-30,  1976, Lincoln, Nebraska, 3  fig, 5 ref.

Descriptors:  Computers,  Information retrieval, Alabama,  Crop production.  Soils,
Climate, Irrigation.

A computerized  information storage and retrieval system  is being  developed in Ala-
bama.  The system called ARIS,  is based on commercially  available software and
makes available numerical data  about the resources of the State.   Included in the
utilization of  ARIS is the evaluation of irrigation potential.  Data describing
soils, climate, water  and crops  are being encoded for this evaluation.
76:078-028
MAP OF SALTY SOILS OF AFRICA,
Aubert, G.
Office de la Recherche Scientifique  et  Technique  Outre-Mer, Bondy, France.
Proceedings of the International  Salinity  Conference,  Texas Tech University,
Lubbock, Texas, August 16-20,  1976,  p 598-604.  22 ref.

Descriptors:  Salinity,  Saline soils, Salts, Africa, Mapping, Maps.

This map is presented as part  of  the ISSS-UNESCO  Project,  in cooperation with the
desertification map project  of FAO and  UNEP-   It  has been  compiled with the assis-
tance of S.A. Radwanski  and  G.  Murdoch  of  the  Land Resources Division of the United
Kingdom, numerous directors  of soils programs  in  African countries, J. Riquier of
FAO, and pedologists of  ORSTOM.


76:07B-029
BASIC PRINCIPLES FOR PROGNOSIS AND MONITORING  OF  SALINITY  AND SODICITY,
Massoud, F.I.
Food and Agriculture Organization, Soil Resources Development and Conservation
Service, Land and Water  Development  Division,  Rome.
Proceedings of the International  Salinity  Conference,  Texas Tech University,
Lubbock, Texas, August 16-20,  1976,  p 432-454.  67 ref.

Descriptors:  Salinity,  Sodium, Saline  soils,  Sampling, Salt balance, Salts, Drain-
age, Evapotranspiration, Irrigation  water, Groundwater.

The development of a standardized methodology  for prognosis and monitoring of salin-
ity and sodicity for application  throughout the world  may  not be easily achieved
or appropriate practically where  conditions vary  from  one  location to another as
is the case in salt affected soils.  Moreover,  there is usually an element of risk
in attempting to transfer the  procedures and to over-generalize the use of an
established standard methodology  without giving enough consideration to local
changes or needs.  The common  tendency  to  adopt rather than to adapt a methodology
quite often gives misleading results and it would be more  fruitful and, in this
case essential, to go through  the rigors of applying the principles.  Therefore,
knowledge of the basic principles discussed in this paper  is an indispensible
requirement for the development of local procedures or the adoption of an estab-
lished methodology.


76:07B-030
SALINITY SURVEY IN ISRAEL,
Boaz, M., Husenberg, I., and Posin,  Y.
Irrigation and Soil Field Service, Ministry of Agriculture, Tel-Aviv. Israel.
Proceedings of the International  Salinity  Conference,  Texas Tech University,
Lubbock, Texas, August 16-20,  1976,  p 388-399.  3  fig,  4 tab.

Descriptors:  Salinity,  Surface,  Electrical conductance, Saline water, Chlorides,
Dissolved solids, Orchards,  Crop  production, Crop response.
                                             243

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The Salinity Survey was initiated in the Spring of 1963, a year before the oper-
ation of the National Water Carrier, which conducts water from Lake Tiberias in
the North,  to the Southern parts of the Country-  The electrical conductivity  (EC)
of the lake water at that time was 1.5 millimhos/cm, with a chloride content of
about 350 ppm and about 1000 ppm total dissolved salts (TDS).   The salinity of
the lake water at the present time is considerably lower:  EC approximately 1.2
mmhos/cm; Cl approximately 250 ppm; TDS approximately 850 ppm.  It was feared that
the water would be too saline for the irrigation of sensitive crops like citrus,
which is the country's main agricultural export.
                                            244

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                                  SECTION XXXVII

                                  RESOURCES DATA

                EVALUATION,  PROCESSING AND PUBLICATION (GROUP 07C)


76:07C-001
A SIMPLE COMPUTER  PROGRAM FOR THE DETERMINATION OF AQUIFER CHARACTERISTICS  FROM
PUMP TEST DATA,
Holzschuh, J.C., III.
Southwest Florida  Water Management District,  Brooksville,  Florida
Ground Water, Vol.  14,  No.  5, p 283-285, September-October 1976.  '3  fig,  1  tab,
2 ref.

Descriptors:  "Computer programs', *Data processing,  *Aquifer characteristics,
*Pump testing.  Estimating,  Analytical techniques,  Graphical methods.  Graphical
analysis, Leakage,  Transmissivity, Storage coefficient,  Hydraulic  conductivity.

A computer program,  based on the Hantush inflection method and designed for
"desk top" computers was presented.   The method assumed  a  leaky, isotropic,
homogeneous aquifer of  infinite areal extent.   The language employed  was  BASIC,
and interactive language used on the Wang Model 2200 programmable  calculator.
The program can be easily adapted to FORTRAN  IV for use  on larger  machines.


76:07C-002
CONVERSION' OF IRREGULAR FINITE ELEMENT GRID DATA TO REGULAR GRID FOR  THREE-
DIMENSIONAL COMPUTER PLOTTING,
Gupta, S.K., Morrissey,  M.W., Lonczak, J. ,  and Tanji,  K.K.
California University,  Department of Land,  Air,  and Water  Resources,  Water  Science
and Engineering Section,  Davis,  California 95616
Water Resources Research,  Vol. 12, No. 4,  p 809-811,  August 1976.  3  fig, 4 ref.

Descriptors:  Finite element analysis. Computers,  Computer models, Computer
programs.

Three-dimensional  plotting provides  a useful means for the illustration and inter-
pretation of results from finite element simulation.   The  computer graphic  pack-
ages usually available  at computer center,  however,  require data on regular grids
and thus are not adaptable  to isoparametric finite elements,  which are combin-
ations of various  shapes and sizes of trapezoids.   By using the basic functions,
a method is presented for the estimation of regular grid values from  irregular
gridded data for plotting purposes.


76:07C-003
SALINE WATER CLASSIFICATION IN IRAN  BY RATIONAL METHODS,
Massoumi, A.M.
Tehran University,  College  of Agriculture,  Department of Soil Science, Karadj,
Iran.
Proceedings of  the  International Salinity Conference,  Texas Tech University,
Lubbock, Texas, August  16-20, 1976,  p -455-465.  4 fig,  3  tab,  4 ref.

Descriptors:  Saline water,  Salinity,  Irrigation efficiency,  Irrigation,  Irriga-
tion water.

The classification  of saline  water is very important for irrigation projects  in
Iran.  The application  of  U.S.S.L. method has  not  given  a  good result in  this
country.  Therefore, it  was decided  to examine the rational method which  is based
on plant resistance  against the  salinity,  the  texture of soils, and irrigation_
efficiency.  For a  given plant,  growth in a. given  soil,  the quality of irrigation
water depends only  on the  efficiency of irrigation.


76:07C-004
FIELD TESTING OF A  NEW  SYSTEM FOR QUALIFYING  IRRIGATION  WATER,
Sentis,  I.P., and Dappo,  F.

                                             245

-------
Institute de Edafologia, Universidad Central de Venezuela, Maracay, Venezuela.
Proceedings of the International Salinity Conference, Texas Tech University,
Lubbock, Texas, August 16-20, 1976, p 376-387. 1 fig, 5 tab, 14 ref.

Descriptors: Irrigation water, Salinity, Salts, Saline soil, Salt balance, Leaching,
Calcium, Magnesium, Drainage, Crop production, Sodium.

A new system for evaluating irrigation waters in relation to the potential problems
of salinity and sodicity is tested under five different situations of salt affected
soils in Venezuela.  The system is based on an independent balance of the different
ions in soil solution in relation to the effective leaching and limiting solubilities
of Ca sulfates and Ca plus Mg carbonates.  Qualification is based not only on the
concentration and composition of salts in irrigation water but on the drainage condi-
tions of the soil profile and on the crop tolerance.
                                            246

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                                  SECTION XXXVIII

                                 ENGINEERING WORKS

                              HYDRAULICS  (GROUP 08B)

 76:088-001
 SEGMENTAL ORIFICES WITH SHUNT METERS TO TOTALIZE PIPELINE FLOW
 Kruse,  E.G.,  and Young, D.A.
 Agricultural  Research Service, Fort Collins, Colorado

                                                     rsgineers-  vo1-  19-  No-
 Descriptors:   *Pipe flow,  *Flow rates, *Measurement,  *Irrigation engineering
 instrumentation,  Calibrations,  Laboratory tests,  Orifices,  DischargI (Water)
 Discharge  measurement,  Flowmeters,  *Flow measurement,  On-site tests.

 Four  segmental orifice  plates were  constructed and evaluated for use with
 domestic water meters in shunt lines for totalizing irrigation flow.   Total
 pipe  flow  was  related to shunt- line flow in the laboratory;  then two field
 installations  in  self-propelled,  center-pivot sprinklers were evaluated  for
 two seasons.   After two years of  field evaluations,  an accuracy of  plus  or
 minus  8% of  true  flow was  noted,  which is suitable for use  in determining
 groundwater  draft by irrigation wells.


 76:08B-002
 A THEORY OF FLOW  RESISTANCE FOR VEGETATED CHANNELS,
 Thompson, G.T., and Roberson, J.A.
 Washington State  University,  Department of Civil  and Environmental  Engineering,
 Pullman, Washington.
 Transactions of the American  Society of Agricultural Engineers, Vol.  19, No. 2,
 p 288-293, March-April  1976.   5 fig,  12 ref.
 (See 76:04A-003)


 76:08B-003
 BAYESIAN APPROACH TO TILE  DRAIN DESIGN,
 Musy, A., and  Duckstein, L.
 Ecole Polytechnique Federale  de Lausanne,  Department of  Agriculture,  Switzerland.
 Journal of the American Society of  Civil Engineers, Vol.  102, No. IR3, p 317-334,
 September 1976.   7  fig,  3  tab,  30 ref.

 Descriptors:   *Tile drainage, *Land reclamation,  *Decision making, Agricultural
 engineering, Design,  Water management (Applied),  Hydrology, Equations, Economics,
 Costs, Systems analysis, Methodology,  Crops,  Evaluation,  Optimization, *Tile
 drains. Risks.

 Economic and sociopolitical aspects of land reclamation  in areas that neces-
 sitate drainage are combined with technical problems to  yield a set of possible
decisions, among  which  an  optimum design is chosen.  The  loss or objective
 function is the sum of  the expected damage caused by the  submersion of given
crops resulting from extreme rainfall events,  and the  initial cost of the
reclamation.  When  the  parameter uncertainty  in the probability distribution
 function of extreme events is taken into account  in the  loss function, a Bayes
risk function  is  obtained.  The Bayes decision theoretic  (BDT) approach consists
of seeking a decision that minimizes  the Bayes risk function.  The BDT also
evaluates the decision  taken and compares  the expected cost of delaying, the
construction to the worth  of additional  information resulting from such a delay.
The practical example of an intensive agricultural system with different types
of soils and crops  illustrates  the  methodology.   Crop  loss functions  and prob-
ability distributions of events are  assumed on the basis  of empirical observa-
tions.
                                              247

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76:088-004
TEMPERATURE EFFECTS ON EMITTER DISCHARGE RATES,
Parchomchuk,  P-
Agriculture Canada, Research Station, Summerland, British Columbia, Canada.
Transactions of the American Society of Agricultural Engineers, Soil and  Water,
p 690-692, Special Edition 1976.  5 fig, 1 tab, 4 ref.

Descriptors:   *Temperature, *Water temperature, *Viscosity, Flow rates,
Uniformity coefficient, Hydraulics, Irrigation, Irrigation systems.

One of the major requirements of trickle irrigation is precise control of water
application rate.  To attain optimum control, all emitters must deliver water at
equal rates and rates should not change with time or environmental factors.
There is general agreement that discharge rates should not vary more than +10
percent for uniform water application.  Variations in emitter manufacture or
operating pressure are cited as the major sources of emitter discharge variation
 (Keller and Karmeli, 1974).  However, an additional factor which could result in
large emitter discharge variations is water temperature variation.  Viscosity
changes, due to changing water temperatures, cause emitter discharge variations
greater than the maximum +10 percent limit if flow through the emitter is
laminar.  Turbulent flow emitters, on the other hand, are not affected by
viscosity changes.  Water temperature variations can occur in a number of ways.
Temperature variation occurs over a period of time with day-night, day to day
and seasonal weather changes and from end to end of lateral lines due to solar
heating of black plastic pipe.  Water temperatures in lateral lines as high as
77°C  (170°F)  have been reported.  This study investigates the effect of water
temperature variation upon discharge rates of several emitter types.  Water
temperature variation in lateral lines was measured to determine expected
discharge variations.


 76:08B-005
TRANSVERSE MIXING IN NATURAL CHANNELS,
Yotsukura, N. and Sayre, W.W.
United States Geological Survey, National Center 430, Reston, Virginia 22092
Water Resources Research, Vol. 12, No. 4, p 695-704, August 1976. 8 fig, 25 ref.

Descriptors:  Mathematical models. Model studies, Channel flow. Channels, Mixing,
Simulation analysis.

A mathematical model is presented for predicting the steady state two-dimensional
distribution of solute concentration in a meandering nonuniform natural channel.
 Two features of the convection-diffusion  (mixing) equation derived herein are that
 it employs the transverse cumulative discharge as an independent variable replac-
 ing the transverse distance and that it is developed in an orthogonal curvilinear
 (natural) coordinate system which follows the general direction of the channel
 flow.  With the help of the continuity equation of water the transverse convec-
 tion  term which cannot be neglected in a natural channel is eliminated from the
mixing equation by a transformation wherein cumulative discharge replaces trans-
verse distance.   Introduction of scalar diffusivity coefficients into the mixing
 equation  is found to be more justifiable in the natural coordinate system than
 in a  rectangular Cartesian coordinate system.  The transformed mixing equation
 unifies and generalizes essential concepts of several existing models which have
 been  used successfully for simulating steady state transverse mixing in irregular
 natural channels.  Solution methods, both analytical and numerical, and parameter
 estimation methods are presented, after which some results of simulation are
compared  with observed data.


76:08B-006
HYDRAULIC CHARACTERISTICS OF IRRIGATION FURROWS,
Ramsey, M.K. and Fangmeier, D.D.
Arizona University, Department of Soils, Water, and Engineering, Tucson, Arizona.
Paper No. 76-2046, Presented at the Annual Meeting of the American Society of
Civil Engineers, June 27-30, 1976, Lincoln, Nebraska, 17 p, 4 fig, 5 ref.

Descriptors:  Infiltration, Furrow irrigation. Furrows, Furrow systems, Irrigation
systems.  Irrigation effects, Hydraulics.
                                             248

-------
Seven irrigations were conducted on  a  precision  field  furrow.   Inflow,  outflow,
water surface elevations,  soil  surface elevations,  and furrow  geometry  were
measured.  Methods of determination  and comparisons of infiltration  functions,
effect of flow depth on intake, and  flow resistance parameters are presented.
76:08B-007
ENERGY ECONOMICS IN PIPE AND  SYSTEM  SELECTION,
Keller, J.
Utah State University, Department  of Agricultural  and  Irrigation  Engineering,  Logan,
Utah.
1976 Annual Technical Conference Proceedings,  Sprinkler  Irrigation Association,
Technology for a Changing World, February  22-24, 1976, Kansas  City,  Missouri,
p 134-145, 4  fig,  2 tab, 6  ref.

Descriptors:  Energy, Irrigation design, Hydraulics, Irrigation systems,  Pipe  flow,
Pipes, Irrigation  efficiency,  Hydraulic design.

A rational means for using  economic  factors  as  the basis for selection of pipe and
irrigation system  components  is presented.   A  graphical  method developed  by  Keller
 (3) is also presented which can be used to speed the economic  sizing of mainline
pipes.


76:08B-008
VENTURI FLUMES FOR CIRCULAR CHANNELS,
Diskin, M.H.
Arizona University, Department of  Hydrology  and Water  Resources,  Tucson,  Arizona
Journal of the Irrigation and Drainage Division, Vol.  102, No. IR3,  p 383-387,
September 1976.  4  fig,  1 tab,  6 ref.

Descriptors:  Flumes, Flow  measure,  Flow rates, Venturi  flumes, Open channels.

The principle of operation  and the advantages  of Venturi flumes for  open-channel
flow measurements  are well  known and amply documented  in technical literature
dealing with  flow  measuring methods.  The  main advantages are  the ability to adapt
the shape of  the flume  to the shape  of the channel and to the  range  of flows expect-
ed, the possibility of  predicting  the coefficients of  discharge either by theor-
etical considerations or  from results of calibration tests, and finally the  rela-
tively small  head  losses possible  with Venturi flumes  as evident  by  the high values
of allowable  submergence.   The purpose of  this paper is  to present some experimental
results for Venturi flumes.  While these designs may be  used also as Venturimeters
for full pipe flow, the results given herein refer only  to open-channel flow at a
mild slope.   The results are  not applicable to steep channels  where  the flow is
supercritical and  a jump  forms a short distance upstream of the flume.  Informa-
tion about the limiting submergence  of the flumes  tested is also  presented.
                                             249

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                                 SECTION XXXIX

                                ENGINEERING WORKS

                              MATERIALS (GROUP 08G)


76:08G-001
SHUNT LINE METERING SYSTEM FOR IRRIGATION WELLS,
Hill, W.C., and Ruff, J.F.
Colorado State University, Department of Civil Engineering, Fort Collins, Colorado.
Transactions of the American Society of Agricultural Engineers, Vol. 19, No. 3,
p 494-500, May-June 1976.  15 fig,  2 tab, 5 ref.

Descriptors:  *Flow measurement, *Wells, *Irrigation wells, *Orifices,
Calibrations, Laboratory tests, Equations,  Mathematical studies, Instrumentation,
Measurement, Pipes.

The testing and development of a shunt line metering system with segmental
orifice were described.  This type of metering system provides a low cost means
of cumulatively measuring the volume of water discharged from irrigation wells.
The flow through the shunt line, which was measured by a small household type
water meter, was related to the flow through the main irrigation pipe by a flow
coefficient which was experimentally determined for a 15.41 cm  (6 in) pipe.  This
flow coefficient is a function of the degree of orifice contraction.  It was
pointed out that the field calibration of the meter was not necessary.  The cost
of the metering system can be less than $100 and the accuracy was shown to be
within + or - 5 percent.


76:08G-002
FIELD EVALUATION OF 102-MM  (4-INCH) CORRUGATED POLYTHYLENE TUBING,
McCandless, D.E., Jr.
United States Department of Agriculture, Soil Coaservation Service, Department of
Water Management Engineering, Broomall, Pennsylvania.
Transactions of the American Society of Agricultural Engineers, Soil and Water,
p 514-516,  Special Edition 1976.  7 tab, 3 ref.

Descriptors:  Drainage, Drainage engineering, Drainage practices.

A field evaluation of the physical condition of installed 102 mm  (4 in.)
corrugated polyethylene tubing was made in four states in the northeast by the
United State Department of Agriculture Soil Conservation Service.  Elongation and
deflection data were summarized on tubing from 54 sites.  Deflections of 13 to 25
percent were typical, however, seven sites had deflections greater than 35 percent.
The tubing was elongated 4.2 percent on the average when installed with a wheel
trenching machine.


76:08G-003
COMPLEXES AFFECTING THE SOLUBILITY OF CALCIUM CARBONATE IN WATER - PHASE II,
Larson, T.E., Sollo, F.W., Jr., and McGuirk, F.F.
Illinois State Water Survey, Urbana, Illinois.
Illinois Water Resources Center, Urbana, Research Report No. 108, February 1976.
57 p, 17 tab, 39 ref.  OWRT B-0820ILL(1).  14-31-0001-4078.

Descriptors:  *Hardness  (Water), *Scaling,  *Corrosion, *Calcium carbonate,
Magnesium, Sodium, Potable water. Water quality, *Solubility, *Hydrogen ion
concentration. Volumetric analysis, Water supply.

Water utilities have a tremendous investment in the miles of pipe, valves, and
other appurtenances in water distribution systems.  Failure to protect these
systems against corrosion and excessive scale formation could necessitate
replacement of the distribution systems at an estimated cost of $25 billion.
Calculation of the true equilibrium or saturation pH, pHs, for calcium carbonate
and adjustment of the water to that pH is essential to supply water of high
quality and to avoid corrosion and scale formation in these water distribution
systems.  In some cases the actual pH must be from 0.6 to 1.0 unit above pHs,


                                             250

-------
as determined from the calcium and alkalinity analyses.  Certain complexes may be
responsible in part for this fact.  The objective of this study was to evaluate
the dissociation constants of the complexes so that the optimum pH can be more
accurately calculated.  A titration method was used to measure the effects of
complex formation on the pH of reaction mixtures and appropriate computer programs
were developed to calculate the dissociation constants.  Experimental procedures
and results from the determination of dissociation constants for complexes of
magnesium, calcium and sodium with carbonate, bicarbonate, hydroxide, and sulfate
and a method to utilize these constants in calculating pHs in public water
supplies are discussed.
                                              251

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                                   SECTION XL
                                  AUTHOR INDEX
Aarstad, J.S.
         76:03F-071

Abdel Wahid, A.A.
         76:03C-010

Abdul Khader, M.H.
         76:02F-033

Abel, G.H.
         76:03F-024

Abel, M.E.
         76:03F-028

Adams, F.
         76:02G-063

Adams, J.E.
         76:03F-036

Adriano, D.C.
         76:058-054

Aguado, E.
         76:04B-001

Ahuja, L.R.
         76:020-005
         76:02G-014
         76:020-024
         76:020-049

Akins, M.B.
         76:058-020

Alemi, M.H.
         76:020-080

Aleti, A.
         76:05B-051

Alexander, E.B.
         76:078-008

Alexander, M.
         76:020-020
         76:020-068

Alfaro, J.F.
         76:02E-012
         76:03F-100
Allen, S.E.
         76:021-004

Alley, W.M.
         76:04B-001

Alpert, J.E.
         76:050-002

Alzubaidi, A.H.
         76:020-126

Amerman, C.R.
         76:020-073
Amir, I.
         76:03F-019
Anagnostopoulos, Tr.
         76:05B-055

Anderson, O.E.
         76:03F-073

Antie, D.A.
         76:020-021

Ardakani, M.S.
         76:020-052
         76:05B-046

Arkin, G.F.
         76:03F-036

Armstrong, J.M.
         76:06A-003

Asmussen, L.E.
         76:02E-002
         76:058-047

Aubert, G.
         76:07B-028

Avnimelech, Y.
         76:020-047

Ayers, R. S.
         76:05A-013

Aylmore, L.A.G.
         76:020-110
Baert, L.
         76:02K-017

Bahrani, B.
         76:03F-051

Baker, F.G.
         76:020-079

Baker, V.R.
         76:02E-007

Banin, A.
         76:03F-061
         76:03F-062

Baradas, M.W.
         76:020-007

Barber, S.A.
         76:021-008
         76:03F-014
         76:03F-023
         76:07B-020

Barfield, B.J.
         76:02J-013

Bar-Josef, B.
         76:03F-001

Barnes, P.L.
         76:020-122
         76:078-023

Bartlett, R.J.
         76:021-002
         76:0?K-005
         76:02K-006

Basak, P.
         76:02F-001

Bassett, D.L.
         76:04A-OOS
Basu, U.
         76:020-017
Bauer, A.
         76:020-075
         76:03F-084
Allen, D.M.
         76:028-007

Allen, R.R.
         76:04A-009
Babu, O.K.
         76:020-085
         76:020-094
         76:020-095
         76:020-100
         76:020-101
Baumgartner, N.
         76:020-001

Beale, O.W.
         76:03F-033
                                            252

-------
Beard, W.E.
         76:02G-022
         76:02G-053

Beauchamp, E.G.
         76:021-006
Beck, B.
         76:05B-042
Becker, L.
         76:04A-004

Beese, F.
         76:02G-003

Bellantouni, B.
         76:02G-007
         76:02G-008

Ben-David, A.
         76:03F-019

Bennett, A.C.
         76:02G-063

Bennett, F.W.
         76:05B-051

Berndt, H.D.
         76:02E-013

Bhattacharya,  R.
         76:026-010
         76:02G-070
         76:026-088
 Biggar
          76:02G-080
          76:02G-084
Boersma, L.
         76:050-004

Bogardi, I.
         76:06A-005

Bollag, J.-M.
         76:02G-044

Bolton, G.C.
         76:02J-010

Bondietti, E.A.
         76:026-103

Booram, C.V. Jr.
         76:058-047

Booth, S.J.
         76:048-007

Borchert, H.R.
         76:02G-004
Boswell, F.C.
         76:03F-057
         76:03F-073
         76:07B-002

Bottomley, A.
         76:060-003

Bouldin, D.R.
         76:056-009
         76:058-011

Bouma, J.
         76:02G-079

Bouwer, H.
         76:02F-019
         76:02G-087
 Brinkley,  F.S.
          76:02G-103

 Brinkman,  W.L.F.
          76:02E-004

 Broadbent,  F.E.
          76:05B-014

 Brock,  R.R.
          76:02F-025

 Brown,  J.C.
          76:07B-010

 Brown,  K.W.
          76:03F-055
          76:05G-006

 Brown,  R.W.
          76:07B-016
          76:078-018

 Bruce,  R.R.
          76:02G-013

 Brutsaert,  W.
          76:020-013
          76:02G-099

 Bryan,  W.E.
          76:03F-069

'Bundgaard-Nielsen,  M.
          76:056-023

 Buras,  N.
          76:04A-006

 Burau,  R.G.
          76:03F-005
 Bishop,  S.E.
          76:058-054

 Bitzer,  M.J.
          76:03F-057

 Blad,  B.L.
          76:020-007
          76:078-013

 Blair, J.W.
          76:02G-043

 Blake, T.R.
          76:02F-Q21

 Blanchar, R.W.
          76:02J-009

 Bledsoe,  B.E.
          76:02G-104
 Boaz, M.
Bowman, B.T.
         76:026-051

Bowmer, K.H.
         76:05B-006

Boyce, J,S.
         76:026-023
         76:05B-003

Brady, U.E. Jr.
        ' 76:03F-050

Bras, R.L.
         76:028-001
         76:028-003
         76:028-004
         76:028-005

Brehm, R.D.
         76:026-115

Bresler, E.
         76:02G-127
 Buresh,  R.J.
          76:02K-003

 Burgdorf,  0.
          76:03F-038

 Burnett,  E.
          76:056-018
          76:056-007

 Burt,  C.M.
          76:03F-103

 Burt,  O.R.
          76:06A-006

 Busch, J.R.
          76:04A-011

 Butcher,  W.R.
          76.-04B-010

 Caassen,  N.
          76:07B-020
          76:078-030
                                             253

-------
Cabrera, G.
         76:02F-014
         76:056-025

Campbell, H.F.
         76:05G-012

Campbell, K.L.
         76:02E-014
Chaudhry, F.
         76:

Chen, K-L.
         76:
         76:

Chen, L.H.
         76:
H.
03F-137
03F-133
07B-025
06B-003
Corey, R.B.
         76:02G-111

Couvillon, J.L.
         76:03F-129

Crawford, N.H.
         76:05B-050
         76:05B-052
Campbell, M.D.
         76:03F-139

Campbell, R.B.
         76:03F-026

Carey, D.I.
         76:06C-002

Carlile, B.L.
         76:056-021

Carlson, R.E.
         76:07B-019

Carlton, A.B.
         76:03F-005

Caro, J.H.
         76:05B-048
Caro, M.
         76:021-010
Carter, D.L.
          76:05G-002

Carter, G.E.
          76:03F-086

Carter, J.N.
          76:03F-083

Cassel, O.K.
          76:03F-084

Cerda, A.
          76:021-010

Chaiwanakupt, P.
          76:05B-045

Chan, Y.K.
          76:02J-012
          76:046-008

Chang, S.
          76:02F-017

Chapman,  J.A.
          76:050-005

Chapra, S.C.
          76:02H-001

Chauhan,  H.S.
          76:02F-029
Chesness, J.
         76:
         76:

Chhun, V.H.
         76:

Chichester,
         76:

Chien, S.H.
         76:

Chiu, S.Y.
         76;
Chu, S.T.
         76
L.
03F-050
03F-129
04A-001

F.W.
05B-019
02G-109


056-051


02G-076
Cull, C.
         76:05A-01<1
Chung, K.H.
         76: 21-001

Clemetz, D.M.
         76:02K-009

Cluff, C.B.
         76:036-001
         76:03C-012

Colbeck, S.C.
         76:02C-001

Coleman, G.
         76:020-012

Collins, M.A.
         76:02F-009

Colombera, P.M.
         76:02G-026

Committee on Oper-
ation and mainten-
ance of irrigation
and drainage sys-
tems of the irri-
gation and drainage
division
         76:04A-013

Cooley, J.
         76:056-017

Corey, F.C.
         76:04A-012
Culler, R.C.
         76:020-006

Cunningham, B.A.
         76:021-001

Curtain, D.
         76:02G-105

Daigger, L.A.
         76:03F-088

Dalai, R.C.
         76:026-058

Dandy, G.C.
         76:05B-028

Dangler, E.W.
         76:02G-014
         76:02J-001

Daniel, J.F.
         76:020-009
                 Dappo, F.
                 Das, G.
                          76:07C-004
                          76:02F-029
                 Daud, A.R.
                          76:03C-015

                 Davenport, D.C.
                          76:03B-003
                          76:038-004

                 Davidson, J.M.
                          76:026-024

                 Davis, D.
                          76:06A-005

                 Davis, R.J.
                          76:028-008
                 Davis, S.
                          76:05B-054
                 Day, R.H.
                           76:05G-005
                                                           Day,  T.J.
                                                                    76:05B-030
                                             254

-------
.Deboer, D.W.
           76-04A-002

DeCoursey,  D.G.
           76:020-012

Dedrick, A.R.
           76:03F-131
           76:04A-014

Deibert, E.J.
           76:020-023

Delleur, J.W.
           76:02A-006

Delmas, R.E.
           76:03F-096

Delucia, R.J.
           76:058-028

Demichele,  D.W.
           76:05G-006

Dendy,  P.E.
           76:02J-010

Denmead, O.T.
           76:021-007
           76:03F-068

 Devitt, D.
           76:02G-043

DeWalle, D.R.
           76:05B-022
           76:050-002

 Dibb, D.W.
           76:03F-082

 Dickey, G.L.
           76:03F-045

 Diestel, H.
           76:030-013

 Dillow, D.W.
           76:058-004

Diskin, M.H.
           76:04A-006
           76:088-008

 Dixon,  J.B.
           76.-03F-031

Dixon,  R.M.
           76:02G-034

Doering, E.J.
           76:050-003

Donigian,  A.S.  Jr.
           76:058-050
           76:058-052
Doran, J.W.
         76:02G-068

Doty, C.W.
         76:03F-026

Dougherty, J.V.
         76:058-040

Douglas, L.A.
         76:058-013

Drexler, J.S.
         76:03F-087

Dryden, J.R.
         76:03F-050

Duckstein, L.
         76:02J-008
         76:06A-007
         76:088-003

Dudley, N.J.
         76:06A-006

Duffy, P.O.
         76:02E-001
         76:058-021

Duich, J.M.
         76:030-001
         76:03F-053

Duke, H.R.
         76:02F-002
         76:020-037

Dunigan, E.P.
         76:058-001

Dusek, D.A.
         76:03F-079

Dyck, F.B.
         76:03F-044

Dylla, A.S.
         76:03F-048
         76:03F-130
         76:04A-007

Ebeling, L.L.
         76:03F-102

Eccles, L.A.
         76:050-014

Edwards, A.P.
         76:058-003

Edwards, J.H.
         76:021-008
         76:03F-023

Ehlers, W.
         76:02G-030
Ehlig, C.
         76:02F-022

Ehlig, C.F.
         76:03F-011

El-Bagoury, I.H.
         76:03C-010

El-Demerdash, M.A.
         76:03C-010

Eller, R.M.
         76:02E-010

Elliott, W.P-
         76:02B-002

Ellis, R., Jr.
         76:020-027

Elrick, D.E.
         76:020-001
         76:020-032

E-Rais, M.
         76:030-004

El-Swaify, S.A.
         76:020-005
         76:020-014
         76:020-059
         76:02J-001
         76:030-015

El-Wahidi, A.
         76:030-004

Emison, G.A.
         76:06A-011

Enfield, C.G.
         76.-02G-104

Engler, R.M.
         76:02G-021

Englestad, O.P.
         76:021-004

Engman, E.T.
         76:02G-013

Erickson, E.
         76:07B-005

Erie, L.J.
         76:03F-131
         76:04A-014

Escarzaga, R.
         76:02G-064

Evans, D.D.'
         76:020-050

Evans, J.K.
         76:03F-105
                                             255

-------
Evans, R.G.
         76:05G-027

Exner, M.E.
         76:05A-004

Fageria, N.K.
         76:03F-046

Fangemeier, D.D.
         76:03F-110
         76:03F-123
         76:08B-006

Fanning, D.S.
         76:078-001

Fausey, N.R.
         76:02G-115

Feldman, M.
         76:048-010

Fenn, L.B.
         76:020-064
         76:020-065

Fernandez, F.G.
         76:021-010

Finck, A.
         76:030-007

Fink, D.H.
         76:040-001

Fitzsimmons, D.W.
         76.-04A-008

Flaherty,  D.
         76:03F-117

Flemal, R.C.
         76:05A-002
Flug, M.
         76:05G-018
Fluhler, H.
         76:02G-052
         76-.05A-008

Fogel, M.M.
         76:02J-008

Fontenot, W.J.
         76:03F-067

Foster, B.B.
         76:05B-034

Foster, J.M.
         76:02G-048
Francois, L.E.
         76:03F-091

Frankenstein, R.L.
         76:03F-106

Frere, M.H.
         76:05B-048

Fribourg/ H.A.
         76:03F-069

Fried, M.
         76:02K-021
         76-.05B-007

Friedman, I.
         76:02E-004

Friedman, Y.
         76:03F-019

Fritton, D.D.
         76:050-002

Frobel, R.K.
         76:03B-001

Fryberger, J.S.
         76.-05B-036
Fuchs, M.
         76:03F-066
Fults, 0.
         76:04A-004

Gallaher, R.N.
         76:078-002

Gambell, E.L.
         76:06E-001

Gambolati, G.
         76:02F-012

Garcia-Maiagayma,  J.
         76:02K-010

Gardner, B.R.
         76:03F-027

Garg, S.K.
         76:02F-021

Gascho, G.J.
         76:03F-008
         76:03F-009

Gavande, S.A.
         76:030-012

Gear, R.D.
         76:03F-139
Fox, R.L.
         76:02K-008
         76:03F-056
Gee, G.W.
Gelhar, L.W.
         76:058-058

Geohring, L.
         76:03F-142

Gerard, C.J.
         76:056-006

Gerards, J.
         76:03F-109

Ghildyal, B.P.
         76:02G-119

Ghiorse, W.C.
         76.-02G-020

Ghonsikar, C.P-
         76:02K-007

Gibbs, A.E.
         76:040-006

Gilbert, R.G.
         76:05A-003

Gill, A.C.
         76:02J-002

Gill, J.H.
         76:056-010

Gillman, R.W.
         76:026-083

Glover, R.E.
         76:048-002

Goell, A.
         76-.03C-004

Goertzen, J.O.
         76:03F-047

Goldhamer, D.A.
         76:02K-021

Goodling, J.S.
         76:020-003

Gormly, J.R.
         76:05A-004

Gottfried, G.J.
         76:04C-001

Gough, L.P.
         76:05B-008

Goyette, E.A.
          76:058-009
          76:058-011

Graf,  W.H.
          76:04A-001
         76:02G-004
                                             256

-------
Gray
         76:06D-001
Gray, W.G.
         76:02F-009
         76:056-026

Green, R.E.
         76:02G-024

Griffith, D.R.
         76:Q3F-111

Grigal, D.F.
         76:076-012

Groenevelt, H.
         76:02G-001

Groenevelt, P.H.
         76:02G-032

Guenzi, W.D.
         76.-02G-022
         76:02G-053

Guillen, M.G.
         76:021-010

Guitjens, J.C.
         76:058-049

Gum,  R.L.
         76:06A-008

Gumbs, F.A.
         76-.02G-038

Guntermann, K.L.
         76:04A-005

Gupta, S.K.
         76:02F-006
         76:07C-002

Gupta, U.C.
         76:03F-015

Gupta, V.
         76:02G-010
         76:02G-070
         76.-02G-088

Gustafson,  C.D.
         76:03F-136

Haan,  C.T.
         76:02A-003
         76:028-007
         76:02J-013
         76:06C-002

Hachum, A.Y.
         76:02E-012
         76:03F-100

Hagan, R.M.
         76:038-003
         76:038-004
         76:030018
Haghiri, F.
         76:02G-062

Haise, H.R.
         76:03F-078

Haith, D.A.
         76:058-040

Halepaska, J.C.
         76:02F-022

Halevy, J.
         76:03F-042

Hall, A.E.
         76.-03E-075
         76:07B-014

Hall, B.J.
         76:03F-114

Hallberg, R.O.
         76:05F-001

Hallsworth, E.G.
         76:02G-058

Halvorson, A.D.
         76:02G-009
         76:07B-003

Hammond, H.
         76:058-012

Handv, R.L.
         76:02F-030

Hanks, R.J.
         76:058-059
         76:078-011

Hanna, A.8.
         76:03C-011

Hansen, D.C.
         76:03E-001

Hanson, C.L.
         76:020-004

Hanson, R.L.
         76:020-006

Hardan, A.
         76:030019

Hardcastle, J.H.
         76:05G-019

Hardt, W.F.
         76:05G-014

Harlin, C.C.
         76:02G-104
Harris, C.R.
         76:02G-0'51

Barter, R.D.
         7.6.-05B-034

Hassett, J.J.
         76:02G-060

Hatfield, J.L.
         76:07B-019

Hauser, E.W.
         76:02E-002

Hauser, V.L.
         76:078-024

Heady, E.G.
         76:03F-060
         76:06A-007
         76:068-002

Heath, R.C.
         76:048-011

Hedges, A.M.
         76:05B-009
         76:05B-011

Heermann, D.F.
         76:020-083
         76:03F-078
         76:060-002

Hefner, J.J.
         76:030-017

Heilman, J.L.
         76:020-008
Heinemann, H.G.
         76:040-004
         76:058-002
Helm, D.C.
         76:02F-004
         76:02F-015
Helweg, O.J.
         76:02E-015
         76:05G-022

Hendershott, C.H.
         76:03F-129

Henderson, G.S.
         76:02K-012

Henderson, J.M.
         76:03F-038

Henninger, D.L.
         76:02G-013

Henninger, N.M.
         76:02G-044
                                              257

-------
Henry, J.E.
         76:03F-007

Hergert, G.W.
         76-.03F-081

Hermann, D.F.
         76:03F-039

Hermsmeier, L.F.
         76:02F-031

Herrmann, R.
         76:04B-009
Humpherys, S.
         76:03F-128

Hundal, S.S.
         76:020-081

Hunt, C.M.
         76:021-009

Hunter, R.B.
         76:021-006

Huntington, G.L.
         76:02J-005
Johnston, R.S.
         76:07B-016

Jones, J.E.
         76:02D-006

Jones, J.P-
         76:02K-013

Jones, W.E.
         76:078-010

Jordan, W.R.
         76:03F-055
Hewes, B.J.
         76:03F-045
Husenberg, I.
         76:07B-030
Jurado Prieto, J.M.
         76:05G-025
Hexem, R.W.
         76:03F-060

Hicks, D.R.
         76:03F-089

Hiler, E.A.
         76:026-116
         76:02J-016

Hill, W.C.
         76:080-001

Hillel, D.
         76:020-025

Hills, R.G.
         76:05B-030

Hippel, K.W.
         76:06A-001

Hipp, B.W.
         76:030-016
         76:050-006

Hoffman, G.J.
         76:030-002
         76:030-008
         76:03F-075
         76:073-014

 Holzchuh, J.C., III
         76:070-001

 Rons, P.M.
         76:03F-031

 Hornberger, G.M.
        "76:02E-010

 Howell, T.A.
         76.-02G-116
         76:03F-135

 Hughes, T.D.
         76:03F-085

 Hull, R.J.
         76:021-005
Idoso, S.B.
         76:020-005
         76:020-039
         76:02G-040

Jackson, D.R.
         76:020-103

Jackson, E.B.
         76:03F-027

Jackson, R.D.
         76:020-005
         76:020-039
         76:02G-040

Jackson, T.L.
         76:03F-086

Jacoby,  0.0., Jr.
         76:06F-001

Jadav, K.L.
         76:03F-072

James, L.G.
         76:02G-029

Jarman,  0.D.
         76:050-004

Jensen,  M.E.
         76:03F-083
         76:03F-140
         76:03F-141

Jettmar, R.U.
         76:02E-005

Johnson, A.H.
         76:05B-009
         76:05B-011

Johnson, C.B.
         76:03F-101

Johnston, P.R.
         76:02A-005
Jurinak, J.J.
         76:05B-059

Jury, W.A.
         76:020-007
         76:020-008
         76:03F-070
         76:05A-008

Kaddah, M.T.
         76:020-118
         76:030-001
         76:D5B-016

Kanemasu, E.T.
         76:020-002
         76:020-008

Kannenberg, L.W.
         76:021-006

Kanwar, R.S.
         76:02F-029
Kao, T.Y.
Kar, S.
         76:02J-013
         76:02G-119
Karmeli, D.
         76:03F-108
         76:03F-132

Keeney, D.R.
         76:03F-065
         76:050-001

Keisling, T.C.
         76:03F-087

Keller, J.
         76:03F-103
         76:07B-011
         76:088-007

Kelly, M.G.
          76:02E-010

Kelly, W.E.
          76:058-041
                                             258

-------
Kemeny, L.G.
         76:03A-001

Kent, D.C.
         76:02F-028

Keramidas, V.Z.
         76:078-001

Keys, J.W., III
         76:05A-009

Khan, M.Y.
         76:02F-030

Khasawneh, F.E.
         76:021-004

Khepar, S. D.
         76:02F-029

Khera, K.L.
         76:03F-002
         76:03F-041

Khera, R.
         76:03F-041

Kiraball, B.S.
         76:020-039
         76:02G-040

Kimball, D.B.
         76-.06A-008

Kimble, J.M.
         76:02K-005
         76:02K-006

King, T.G.
         76:02G-028

Kinnell, P.I.A.
         76:02J-004

Kirkham, D.
         76:02F-030
         76:020-069

Kissel, D.E.
         76:026-065
         76:056-004
         76:05B-018
         76:056-007

Kizer, M.A.
         76:03F-133

Klein, J.M.
         76:056-014

Klingaman, E.D.
         76:07B-006
Klute, A.
         76:026-083
Koelliker, J.K.
         76:03F-063

Koeppe, D.E.
         76:02G-060

Kohl, D.H.
         76:02G-109

Kohl, R.A.
         76:03F-025

Koivo, A.J.
         76:05B-029

Kolar, J.J.
         76:03F-025

Koli, S.E.
         76;03F-058

Kroeker, E.J.
         76:056-004

Krueger, C.R.
         76:03F-093

Kruse, E.G.
         76:026-037
         76:088-001

Kuh, H-C.
         76:02J-016

Kunkle, G.R.
         76:05A-007

Kurtz, L.T.
         76:07B-007

Laag, A.E.
         76:058-054

Labadie, J.W.
         76:02E-015
         76:056-022
         76:060-002

LaFleur, K.S.
         76:058-017

Lai, S.H,
         76:07B-005

Lambert, J.R.
         76:02G-028

Lane, M.N.
         76:03F-029

Lane, W.L.
         76:040-006

Langford,  K.J.
         76:040-003

Langin, E.J.
         76:05B-010
Larson, C.L.
         76:02G-029
         76:02J-017

Larson, D.L.
         76:03F-123

Larson, T.E.
         76:086-003

Lauenroth, W.K.
         76:020-010

Lavno, B.A.
         76:05A-006
Lee, K.C.
         76:021-001
Lee, M.T.
         76:04A-005
Lee, Y.S.
         76:021-002

Leggett, J.E.
         76:026-086
         76:026-117
         76:03F-080

LeMert, R.D.
         76.-03F-011

Lennox, W.C.
         76:058-023

Lessman, G.M.
         76:03F-069

Letey, J.
         76:026-043
         76:026-054

Lettenmaier, D.P.
         76:05A-005

Lewis, R.B.
         76:07B-024

Lewis, R.J.
         76:058-020
Li, R.
         76:026-121
Liang, 6.H.
         76:021-001

Liegel, E.A.
         76:03F-090

Lienesch, W.C.
         76:06A-011

Linden, D.R.
         76:026-034
                                             259

-------
Linderman, C.L.
          76:03F-037

Lindstrom, F.T.
          76:058-023

Littlechild,  S.C.
          76:03F-029

Liu, P.L.-F.
          76:02G-098

Lombard,  P. B.
          76:03F-034
McGurk, F.F.
         76:08G-003

McHenry, J.R.
         76:02J-002

Mcllhenny, R.C.
         76:02G-061

McKean, J.R.
         76:060-001

McKenzie, E., Jr.
         76:07B-007
Mannering, J.V.
         76:03F-101

Manning, D.M.
         76:03F-069

Mansell, R.S.
         76:02G-091
         76:053-012

Marino, M.A.
         76:02F-014
         76:02G-055
         76:056-025
Lomen, D.0.
         76:02G-113
         76:03F-010

Lonczak, J.
         76:070-002

Long, L.L.
         76:02E-003

Low,  P.F.
         76:026-006

Ludwick, A.E.
         76:058-010

Lund, L.J.
         76:02G-043
         76:02G-057

Lyles, L.
         76:04A-009

Lytle, R.W., Jr.
         76:021-005

McBean, E.A.
         76:06A-004

McBride, M.B.
         76:02G-112

McCabe, W.J.
         76:02D-003

McCandless, D.E., Jr.
         76:08E-002

McClurkin,  D.C.
         76:02E-001

McCown, R.L.
         76:02G-096

McElroy, A.D.
         76:058-051

McGinness,  S.L.
         76:04D-003

McGuire, J.A.
         76:078-027
McLaren, A.D.
         76:026-066
         76:058-046
         76:058-053

McLaughlin, N.8.
         76:03F-044

McLean, E.O.
         76:02G-107

McLin, S.G.
         76:058-058

McNamara, J.R.
         76:05G-008

McNeal, B.L.
         76:05G-021

McWhorter, D.B.
         76:02F-002
         76:02G-082

Maas, E.V.
         76:030-008

MacCarthy.-  P.
         76:02K~Q15
MacDonald, H.C.
         76:02F-003

MacLeod, J.A.
         76:03F-015

Maddock, T., III
         76:048-005

Mahannah, C.N.
         76:058-049

Main, R.B.
         76:040-006

Malzer, G.L.
         76:03F-014

Mann, K.F., Jr.
         76:02K-020
Mark, H.B., Jr.
         76:02K-015

Marsily, G.D.
         76:02E-003

Martin, J.P.
         76:026-054

Martin, P.E.
         76:03B-003
         76:038-004

Martinell, R.
         76:05F-001
Massoud, F.I.
         76:07B-029

Massoumi, A.M.
         76:070-003

Matic, M.
         76:026-124

Matocha, J.E.
         76:03F-006
         76:03F-031

Matsui, E.
         76:02E-004

Mawdsley, J.A.
         76:020-013

Mayaki, W.C.
         76:03F-097
         76:03F-098

Mayberry, K.S.
         76:03F-092

Mejia, J.M.
         76:02A-004

Melamed, J.D.
         76:058-059

Mercado, A.
         76:058-032

Mickelson,  R.H.
         76:03F-078
                                            260

-------
Mielke, L.N.
         76:03F-037

Miera, F.R., Jr.
         76:05B-015

Millar, B.D.
         76:021-007
         76:03F-068

Miller, D.E.
         76:03F-071

Miller, J.B.
         76:05A-003

Miller, J.E.
         76:02G-060

Miller, R.H.
         76:02K-007

Miller, R.J.
         76:03F-005
         76:05B-005

Miller, W.L.
         76:05G-010

Miller, W.W.
         76:05B-049

Mitchell, J.K.
         76:05G-019

Miyamoto, S.
         76:05G-001
Moraghan, J.T.
         76:03K-003

Morel-Seytoux, H.J.
         76:02G-123

Moreshet, S.
         76:03F-066

Morey, D.
         76:03F-118

Morrill, L.G.
         76:03F-058

Morrissey, M.W.
         76:070-002

Mosher, P.N.
         76:02G-023

Mualem, Y.
         76:02G-090
         76:02G-097

Mubarak, A.
         76:026-033

Muhamud, Z.
         76:06A-010
Muir, J.
         76:02G-023
         76:05B-003
Naney, J.W.
         76:02F-028

Narasimhan, T.N.
         76:02F-013

Nash, P.A.
         76:02G-057
         76:07B-015

Navrot, J.
         76:03F-061
         76:03F-062
Nebgen, J.W.
         76:05B-051

Neher, R.E.
         76:05B-015

Nelson, D.W.
         76:076-006

Nelson, L.R.
         76:05F-057

Neuman, S.P.
         76:02E-003
         76:02G-089

Neumann, C.A.
         76:06B-005
                             New,  L.L.
Munn, D.A.
         76:02G-107
         76:03F-043
         76:03F-079
Moberg, E.L.
         76:030-001
Munn, J.R., Jr.
         76:02J-005
Newman, R.C.
         76:02K-014
Mohammed, R.A.
         76:03F-110

Moldenhauer, W.C.
         76:02J-003

Molz, F.J.
         76:02G-091
         76:02G-114

Mondart, C.L., Jr.
         76:058-001

Moody, W. T.
         76:046-002

Moore, J.
         76:030-017

Moore, J.L.
         76:06A-003

Moore, R.A.
         76:03F-093

Moore, S.F.
         76:05B-028
Munns, D.N.
         76:02K-004
         76:02K-008

Murtha, G.G.
         76:02G-096

Musick, J.T.
         76:03F-043
         76:03F-079
Musy, A.
         76:088-003
Myers, R.G.
         76:05D-005

Nahlawi, N.
         76:030-012

Nakayma, F.S.
         76:02G-039
         76:02G-040

Nanagara, T.
         76:02G-086
         76:02G-117
Newton, D.W.
         76:02G-027

Nicholas, E.G.
         76:040-005

Nickell, C.D.
         76:03F-097

Nicol, K.J.
         76:06A-007

Nielson, D.R.
         76:02G-080
         76:02G-084

Nienkerk, M.M.
         76:05A-002

Nobeli, 0.
         76:058-055

Nofziger, D.L.
         76:02G-108

Noggle, J.C.
         76:021-009
                                            261

-------
Nudds, D.
         76:060003

Nuttall, W.F.
         76:03F-076

Nyhan, J.W.
         76:058-015

O'Connor, D.J.
         76:076-022

O'Connor, G.A.
         76:05A-014
         76:05B-014

Office of Water
Research and Tech-
nology
         76:05B-035

O'Loughlin, E.M.
         76:05B-006

Olson, R.A.
         76:02G-033
         76:056-003

Olson, T.C.
         76:02J-003

O'Neill, K.
         76:02F-008

Onstad, C.A.
         76:02J-014
Oron, G.
         76:03F-108
Osborn, J.
         76:02G-054

Oschwald, W.R.
         76:02J-015

Oster, J.D.
         76:03F-047
         76:05A-012

Page, A.L.
         76:02K-010

Pal, U.K.
         76:03F-074

Papanicolaou, E.P.
         76:058-055

Parchomchuk, P.
         76:088-004

Parker, J.H.
         76:03F-116

Parker, J.J.
         76:03F-004
Parlange, J.-Y.
         76:02G-036
         76:02G-067
         76:02G-071
         76:02G-094
         76:02G-095
         76:02G-106

Parra, M.A.
         76:03C-005

Pasricha, N.S.
         76:02K-018

Patrick, W.H., Jr.
         76:02G-021
         76:02G-045
         76:02G-046
         76:026-056
         76:02G-061
         76:03F-067
         76:03F-077
         76:078-004

Patton, P.C.
         76:02E-007

Paulsen, G.M.
         76:02G-027
         76:021-001

Pearson, F.J., Jr.
         76:02F-024

Pennell, A.8.
         76:02J-017

Pepper, I.L.
         76:02K-007

Petersen, G.W.
         76:02G-013

Peterson, C.M.
         76:02G-111

Peterson, H.B.
         76:03C-006

Peterson, L.A.
         76:02K-014

Peterson, R.H.
         76:03F-089

Petrosian, G.P.
         76:03C-014

Pettyjohn, W.A.
         76:058-039

Pfannkuch, H.0.
         76:05A-006

Phelan, R.A.
         76:058-001
Phene, C.J.
         76:03F-033
         76:03F-095

Philip, J.R.
         76:02G-026

Phillips, G.
         76:058-029

Phillips, R.E.
         76:02G-002
         76:02G-056
         76:02G-086
         76:02G-117
         76:03F-080

Pickens, J.F.
         76:056-024

Piest, R.F.
         76:040-004

Pilgrim, D.H.
         76:02A-005

Pinder, G.F.
         76:058-026

Pisano, M.A.
         76:05G-015
         76:056-016

Plamenac, N.
         76:026-124

Polasek, R.B.
         76:058-043

Ponnamperuma, F.N.
         76-.02K-018

Posin, Y.
         76:078-030

Poulovassilis, A.
         76:026-102

Powell, N.L.
         76:026-069

Powers, W.L.
         76:020-002

Prasad, M.
         76:02K-016
         76:03F-032
         76:03F-064

Prather, R.J.
         76:026-012

Pratt,  P.P.
         76:026-057
         76:058-053
         76:056-054
         76:078-015
                                             262

-------
Prihar,  S.S.
          76:03F-002
          76:03F-041

Printy,  w.L.
          76:03F-072

Pruitt,  W.O.
          76:03C-018

Quirk, J.P.
          76:02G-110

Quisenberry, V.L.
          76:020-002

Raats, P.A.C.
          76:02G-012
          76:02G-019
          76:02G-128

Ragade,  R.K.
          76:06A-001

Raguse,  C.A.
          76:03F-096

Rahman,  A.
          76:026-005

Rajan, S.S.S.
          76:02K-002

Ramadurgaiah, D.
          76:02F-033

Ramsey,  M.K.
          76:086-006

Randall,  G.W.
          76:02G-111

Rao, M.J.
          76:03F-094

Rasmussen, L.A.
          76:02A-001
          76:02A-002

Rasmussen, V.P.
          76:078-011

Rasnake, M.
          76:02G-031

Rauschkolb, R.S.
          76:03F-005

Rausser, G.C.
         76:06A-002

Raveh, J.
         76:02G-047

Ravelo,  C.
         76:02G-116
Reddell, D.L.
         76:02J-016
         76:02J-122
         76:03F-102
         76:06A-009
         76:078-023

Reddy, A.S.
         76:02G-017

Reddy, K.R.
         76:02G-045
         76:02G-046
         76:02G-056
         76:03F-077
         76:078-004

Reginato, F.S.
         76:02G-039
         76:02G-040

Reginato, R.J.
         76:02D-005

Reisosky, D.C.
         76:020-001
         76:03F-026

Reklig, D.M.
         76:Q6A^006

Rektorik, R,J.
         76:04A-009
         76:05G-009

Remson, I.
         76:043-001

Reule, C.A.
         76:078-003
Reuss, J.O.
         76:03F-081
         76:058-010

Rhoades, E.D.
         76:03F-040

Rhoades, J.D.
         76:02G-009
         76:02G-012
         76:026-015
         76:03C-001
         76:05A-010
         76:05A-012
         76:058-016

Rhoads, F.M.
         76:058-012

Rible, J.M.
         76:026-057

Rice, R.C.
         76:02F-019
Rich, L.R.
         76:04C-001

Richards, G.E.
         76:03F-113

Richardson, C.W.
         76:03F-040
         76:058-018
         76:056-007

Richey, C.B.
         76:03F-111

Riego, D.C.
         76:02J-009

Risseeuw, J.
         76:056-025

Ritchie, E.A.
         76:05G-013

Ritchie, J.C.
         76:02J-002

Ritchie, J.T.
         76:02D-001
         76:03F-036
         76:03F-040

Rivera, R.A.
         76:03F-045

Roa, P.S.C.
         76:026-024

Robbins, J.L.
         76:02K-009

Roberson, J.A.
         76:04A-003

Roberts, E.B.
         76:03A-004

Robertson, W.K.
         76:058-045

Robinson, F.E.
         76:03C-009
         76:03F-092
         76:03F-134

Rochester, E.W.
         76:07B-027

Rodarte, L.
         76:02F-007

Rodriguez-Iturbe,  I.
         76:028-001
         76:028-003
         76:028-004
         76:028-005
                                             263

-------
Roefs, T.G.
         76:06A-008

Rogers, R.D.
         76.-02G-042

Rolston, D.E.
         76:026-055
         76:02K-021
         76:03F-005

Romero, G.C.
         76:030-005

Rosenberg, N.J.
         76:020-007
         76:07B-013
         76:078-021

Ross, J.D.
         76:07B-024
Ross, R.
         76:03F-127
Rouse, W.R.
         76:02D-011

Rousselle, J.
         76:02A-004

Ruff, J.P.
         76:080-001

Runnells, D.D.
         76:05B-038

Rushton, K.R.
         76:04B-007
         76:04B-008
Ryan, J.
         76:05G-001
Ryden, J.C.
         76:02K-001

Rykbost, K.A.
         76:050-004

Safaya, N.M.
         76:03F-013

Saffigna, P.G.
         76:03F-065

Saini, G.R.
         76:03F-054

Sainty, G.R.
         76:05B-006

Salati, F.
         76:02E-004

Sammis, T.W.
         76:02G-050
Sander, D.H.
         76:03F-088

Sanders, D.C.
         76:03F-095

Sandhu, B.S.
         76:03F-002
         76:03F-041

Sandhu, K.S.
         76:03F-002
         76:03F-041

Sandoval, P.M.
         76:05G-003

Sands, C.D.
         76:03F-123

Saurez, D.L.
         76:05A-010

Sawhney, B.L.
         76:02G-036
         76:02G-067

Saxena, M.C.
         76:03F-074

Sayre, W.W.
         76: 08B-005

Schaake, J. C., Jr.
         76:06A-004
Schiele,  L.H.
         76:02G-Q75

Schleicher, J.
         76:03F-107

Schlute, D.D.
         76:02G-111

Schmisseur, W.E.
         76:060-001

Schmedl, D.
         76:03F-115

Schneider, A.D.
         76:03F-043
         76:03F-138

Schneider, R.R.
         76:05G-005

Scholl, D.G.
         76:026-041

Schreiber, J.D.
         76:02E-001
         76:05B-021

Schull, H.H.
         76:04A-007
Schulte, D.D.
         76:056-004

Schultz, R.K.
         76:058-046

Schuman, G.E.
         76:03F-037

Schwab, G.O.
         76:026-081

Seely, E.H.
         76:02F-028

Seim, E.G.
         76:026-023
         76:056-003

Selim, H.M.
         76:026-091

Selim, M.
         76:05B-012

Sentis, I.P.
         76:070-004

Sepaskhah, A.R.
         76:03F-051

Severson, R.C.
         76:058-008
         76:078-012

Shade, J.W.
         76:05A-007

Shaffer, M.J.
         76:058-056

Sharma, M.L.
         76:021-003

Sharpe, P.J.H.
         76:056-006

Sharpless, R.G.
         76:03F-072
Shaw, K.
         76:05B-006
Shearer, G.
         76:02G-109

Sheikholslami, M.R.
         76:03F-001

Shelton, C.H.
         76:02E-011

Shelton, J.E.
         76:03F-035

Sheridan,  J.M.
         76:058-047
                                             264

-------
Sherman,  B.
         76:02A-008
         76:02E-009

Shull, H.
         76:03F-039
         76:03F-048
         76:03F-130

Shuman, L. M.
         76:02K-019

Shupe, J.L.
         76:030-006

Sichani,  S.A.
         76:03F-051

Siefert,  W.
         76:03F-119

Siemens,  J.C.
         76:02J-015

Sigvaidason, O.T.
         76:048-003

Sikora, L.J.
         76:050-001

Sill, B.L.
         76:020-003

Simons, D.B.
         76:02G-121

Sims, P.L.
         76:020-010

Sinanuwong, S.
         76:030-015
Sinha, B.K.
         76:053-044

Skaggs, R.w.
         76:02F-005
         76:020-120
         76:03F~018
         76:07B-003

Skogerboe,  G.V.
         76:050-018
         76:05G-026
         76:050-027

Sloneker,  L.L.
         76:02J-003

Smajstria,  A.
         76:02G-122
         76:07B-023

Smiles, D.E.
         76:02G-001

Smillie,  G.W.
         76.-02G-105

Smith, E.M.
         76:03F-105

Smith, G.D.
         76:02G-096

Smith, O.L.
         76:03F-012

Smith, R.B.
         76:058-005

Smith, R.E.
         76:020-072
Sonu, J.
         76:020-123
Sowell, R.S.
         76.-06B--003
         76:06B-004

Spalding, R.F.
         76:05A-004

Sparks, D.
         76:04A-004

Spomer.- R.G.
         76:040-004

Sposito, 0.
         76:02G-010
         76:020-070
         76:020-088

Sposito, V.A.
         76:03F-060

Stallings, J.L.
         76:078-027

Stanhill, 0.
         76:03F-060

Stanley, C.D.
         76:07B-019

Staple, W.J.
         76:02G-016

Starr, J.L.
         76:020-106

Steele, K.F.
         76:02F-003
Singh, B.B.
         76:02K-013

Singh, B.P.
         76:03F-052
Singh, G.
         76:03F-049
Singh, M.
         76:058-042

Singh, N.T.
         76:058-044

Singh, R.
         76.-02F-020

Singh, V.P.
         76:02A-008
         76:02E-006
         76:02E-009
Smith,  S.J.
         76:05B-004

Smith,  S.W.
         76:03F-104
         76:03F-142
         76:050-018
         76:050-027

Sneed,  R.E.
         76:068-003
         76:06B-004

Snyder, G.H.
         76:03F-008
         76:03F-009
So, H.B.
         76:020-110
Sollo, F.W.
         76:080-003

Sommerfeldt, T.G.
         76:03F-044
Sterling, J.D.E.
         76:03F-015

Stevens, M.A.
         76:020-121

Stewart, B.A.
         76:058-048

Stewart, J.I.
         76:030-018

Stewart, R.B.
         76:020-011

Stiver, J.F.
         76:02G-004

Stolzy, L.H.
         76-.02G-052
         76:05A-008
         76:058-046
                                             265

-------
Stone, L.R.
         76:020-002
 , „ ,  ,   76:03F-097
 '   "u    76:03F-098

Strack, O.D.L.
         76:02F-023

Street, J.O.
         76:02B-007

Streltsova, T.D.
         76:02F-016
         76:02F-018

Struchtemeyer, R.A.
         76:03F-049

Subramanyam, T.K.
         76:02G-119

Sullivan, D.M.
         76:021-005

Sussman, M.W.
         76:03F-045

Swank, W.T.
         76:02K-012

Swartzendruber, D.
         76:026-108

Sweeten, J.M.
         76:06A-009

Swift, L.W., Jr.
         76:07B-017,

Syers, J.K.
         76:02K-001

Szidarovszky, F.
         76:06A-005

Tabor, M.
         76:03F-034

Taggard, K.L.
         76:03F-096
Tang,  Y.
         76:02G-120
Tangborn, W.V.
         76:02A-001
         76:02A-002

Tanji, K.K.
         76:02F-006
         76:05B-007
         76:05B-057
         76:070-002

Tanner,  C.B.
         76:03F-065
         76:03F-070
Tao, P.C.
         76:02A-006

Tarapchak, S.J.
         76:02H-001

Taylor, G.S.
         76:02G-081

Teare, I.D.
         76:03F-097
         76:03F-098

Temple, J.E.
         76:02E-011

Tengah, A.
         76:030-015

Terman, G.L.
         76:021-004
         76:021-009

Thomas, A.W.
         76:02G-018
         76:02G-037

Thomas, G.W.
         76:026-031

Thomas, J.C.
         76:03F-055

Thompson, E.S.
         76:02B-006

Thompson,  6,T,
         76:04A-OQ3

Tideje, J.M.
         76:07B-005

Tock, D.G.
         76:OSG-011

Tollner, E.W.
         76:02J-013

Tompkins, F.D.
         76:02E-011

Towle, C., Jr.
         76:03F-123

Towner, 6.D.
         76:026-093

Trava, J.
         76:060-002

Treitz, W.
         76:030-013

Trelease, F.J., III
         76:06E-002
Triplett, G.B., Jr.
         76:03F-007

Trump.;, C.L.
         76:02B-002

Tsai, Y.J.
         76:05B-027
         76:05B-033

Tsuji, G.Y.
         76:02G-049

Turnbull, J.W.
         76:02E-002

Turner, N.C.
         76:026-036

Unger, P.W.
         76:026-078
         76:03F-004

Unny, T.E.
         76:06A-001

Valantine, V.E.
         76:050-001

Valoras, N.
         76:026-054

Van Bavel, C.H.M.
         76:026-025

Van Cleemput, O.
         76:026-061
         76:02K-017

Van;Dam, J.C.
         76:02L-001

Van Deman, J.M.
         76:068-004

VanDemark, S.C.
         76:050-002

Van de Pol, R.M.
         76:05Br007

Van der Kamp, 6.
         76:02F-011

Van der Ploeg, R.R.
         76:026-003

Van Doren, D.M., Jr*.
         76:03F-007

Van 6enuchten, M.  Th.
         76:026-035
         76:05B-014

van Hoorn, J.Wi.
         76:056-025
                                            266

-------
van Schilfgaarde, J.
         76:02G-015
         76:03F-047

Varade, S.B.
         76:020-119

Varlev, I.
         76:03F-099

Verma, S.B.
         76:020-007
         76:07B-021

Vikovik, M.
         76:02G-124

Viskanta, R.
         76:05B-030

Vithayathil, F.
         76:020-109

Vols, M.G.
         76:056-046

Waddington, D.V.
         76:030-001
         76:03F-053

Wade, J.C.
         76-.06A-007

Wagner, G.H.
         76:02F-003

Walker, M.E.
         76:03F-087

Walker, W.R.
         76:03F-104
         76:03F-108
         76:03F-109
         76-.03F-132
         76:03F-142
         76:05G-018
         76:05G-024
         76:05G-027

Wall,  G.J.
         76:02J-006

Wallihan,  E.F.
         76:03F-072

Walsh,  L.M..
          76:03F-090

Warkentin,  B.P.
          76:02G-038

Warneke,  J.. E.
          76:07B-015

Warrick, A.W.
          76:02G-OSO
          76:02G-113
          76:03F-010
Watkinson, J. H.
         76:02K-002

Watschke, T.L.
         76:030-001

Watson, K.K.
         76:02G-011

Weatherford, G.D.
         76:06F-001

Weaver, J.B.
         76:03F-094

Weber, J.E.
         76:02J-008

Wegner, J.W.
         76:06F-001

Welch, L.F.
         76:03F-082

Weldon, C.O.
         76:07B-002
Wells, L.G.
         76:Q2G-077
Wenberg, R.D.
         76:02F-032

Wensink, R.B.
         76:03F-133
         76:078-025

Westcot, D.W.
         76:05A-013

Westermann,  D.T.
         76-.03F-083

Westfall,  D.G.
         76:03F-112

Wheaton, R.Z.
         76:03F-101

Wheeler, W.B.
         76:058-012

Whisler, F.D.
         76:02G-011
         76:02G-018
         76:02G-074

White,  A.W., Jr.
         76:02E-002

White,  E.M.
          76:03F-093
 White,  I.
          76:026-026
Whitlow, P.
         76:02G-109

Whitson, E.N.
         76:03F-052

Whittlesey, N.K.
         76-.04B-010

Wierenga, P.j.
         76:02G-035
         76:05B-014

Wiggert, D.C.
         76-.02F-026

Wilding, L.P.
        , 76:02G-107
         76-.02J-006

Willardson, L.S.
         76:03F-047
         76:03F-100
         76:058-059

Williams,  J.R.
         76:02E-013

Willis,  C.E.
         76:06A-002

Willis,  R.
         76:050-003

Wilson,  C.R.
         76:02F-010

Wilson,  G.D.
         76:078-011

Winogard,  I.J.
         76:02F-024

Wischmeier,  W.H.
         76:02J-011
         76:058-048

Witherspoon, P.A.
         76:02F-010
         76:02F-013

Wolfe, J.W.
         76:03F-034
          76-.03F-133
          76:078-025

 Wood, E.F.
          76:02A-007

 Wood, I.R.
          76:058-030

 Woolhiser, D.A.
          76:058-048

 Worstell,  R.V.
          76:03F-003
          76:04A-010
                                             267

-------
Worthington, P.F.
         76:02F-027

Wright, G.P.
         76:05G-011

Wright, J.L.
         76:03F-140
         76:03F-141

Wylie, E.B.
         76:02F-026

Yeh, G.T.
         76:05B-033

Yeh, W. W-G.
         76:02F-017
         76:04A-004
         76:058-027

Yotsukura,  N.
         76:08B-005

Young, D.A.
         76:086-001

Young, G.K.
         76:02E-005

Young, P-
         76:05B-042

Young, R.A.
         76:02J-014

Youngs, E.G.
         76-.02G-102

Zachraann,  D.W.
         76:026-037

Zahran, M.A.
         76:03C-012

Zajicek, O.T.
         76:05B-043

Zamir,  S.
         76:04A-006

Zartman, R.E.
         76:026-086
         76:03F-080

Zimdahl, R.L.
         76:02G-048

Zivkovik,  B.
         76:02F-034

Zolezzi, 0.
         76:02G-116
                                              268

-------
                                   SECTION XLI
                                  SUBJECT  INDEX
Absorption
         76:020-001
         76-:02G-085
         76:020-086
         76:02G-101
         76:021-004
         76:02K-009
         76:02K-015
         76:03F-012
         76:03F-014
         76:03F-023
         76:03F-082

Acidic Soils
         76:03F-006

Adhesion
         76:038-001

Administration
         76:03F-028

Adsorption
         76:02C-001
         76:02G-091
         76:02G-035
         76:02G-054
         76:02G-104
         76:02K-002
         76:02K-005
         76:02K-006
         76:02K-008
         76:02K-019
         76:058-014
Advection
          76:02C-001
          76:020-002
          76:020-007
          76:078-013
Aeration
         76:05F-001

Aerial Photography
         76:020-006
         76:040-005
Aerobic
         76:020-046
Aerobic Conditions
         76:02G-056

Aesthetics
         76:06A-008
Africa
         76:078-028
Agricultural Engineering
         76:088-003

Agricultural Runoff
         76:05A-001
         76:058-001
         76:058-035
         76:058-040
         76:05G-005
         76:05G-007
         76:06E-001
         76:078-006

Agricultural Soils
         76:02G-042

Agricultural Watersheds
         76:02A-008
         76:02E-002
         76:02E-006
         76:02E-009
         76:03F-063
         76:04A-005
         76:058-002
         76:058-019
         76:058-040
         76:05G-007
Agriculture
         76
         76;
         76:
         76;
         76;
         76;
         76;
         76;
         76;
         76:
         76;
         76;
         76;
         76;
         76;
         76
         76
         76;
         76;
         76;
         76;
02G-002
02G-011
02G-081
03F-019
03F-028
03F-030
03F-112
03F-113
03F-135
05A-003
05A-013
058-011
058-036
058-037
058-040
05G-002
05G-005
05G-010
06A-003
06A-007
06E-001
Agronomy
Air
         76:03F-028
         76:020-003
         76:02G-082
Acrricultural Chemicals
         76:058-003
Air Circulation
         76:02G-089
         76:03F-052
                 Air Temperature
                          76:02D-003
                          76:020-011
                          76:058-022
                          76:078-021

                 Air-Water Interfaces
                          76:02G-071
                          76:02G-082
                          76:058-022
                 Alabama
                 Albedo
                 Alfalfa
                             Algae
                          76:020-009
                          76:078-027
                          76:020-005
                          76:020-023
                          76:02K-013
                          76:03F-025
                          76:03F-076
                          76:03F-093
                          76:07B-013
                                      76:021-002
Algorithms
         76:028-003
         76:026-004
         76:02F-017
         76:04A-004
         76:078-017
Alkali
         76:02K-018
Alluvial Aquifers
         76:048-009

Alternative Costs
         76:06C-001

Alternative Planning
         76:050-005
         76:06A-004

Alternative Water Use
         76:06C-001
                 Altitude
                                      76:02A-001
                 Aluminum
                                                          Ammonia
                                                                   76:02K-005
                                                                   76:02K-006
                                      76:020-064
                                             269

-------
Ammonia
    (cont.)
         76:021-001
         76:03F-006
         76:03F-032
         76:056-001
         76:058-013
         76:05G-001
         76:078-006

Ammonium
         76:03F-082

Ammonium Compound
         76:02G-056
         76:02G-064

Anaerobic
         75:02G-046

Anaerobic Conditions
         76:02G-044
         76:02G-056

Analog Models
         76:02F-019
Analysis
          76:02F-001
          76:02F-020
          76:02F-021
          76:078-003
Analvtioal
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
Techniques
:02A-004
:02A-007
:02B-001
:02B-006
:02D-006
:02D-012
:02E-003
:02E-005
:02E-008
.-02F-014
:02F-026
:02G-006
.-02G-011
:02G-019
:02G-035
:02G-085
:02G-091
:02G-095
:02G-098
:02J-008
:02J-110
:02J-012
:05A-002
:05A-005
:05B-001
:05B-002
:05B-004
:05B-027
:05B-031
.-05B-033
:05G-007
:07B-003
:07B-006
:07C-001
                  Anion Adsorption
                           76~:02K-002

                  Anion Exchange
                           76:02K-009
                             Aquifer  Testing
                                       76:02F-011
                                       76:02F-019
                                       76:048-007
                                       76:048-008
                  Anions
                           76:02K-002
                           76:02K-012
                                               Aquifers
                  Anisotropy
                           76:02F-005
                           76:02G-017
                  Annual
                           76:02J-010
Antitranspirants
         76:036-003
         76:03B-004

Appalachian Mountain Region
         76:02K-012

Application Methods
         76:03B-003
         76:038-004
         76:03P-001

Approximation Method
         76:02G-082

Aquatic Environment
         76:02E-010
         76:02G-027

Aquatic Population
         76:02G-027

Aquatic Weeds
         76:058-006

Aqueous Solutions
         76.-02G-091

Aquicludes
         76:02F-007

Aquifer Characteristics
         76:020-009
         76:02F-001
         76:02F-004
         76:02F-011
         76:02F-015
         76:Q2F-027
         76:02F-029
         76:04B-006
         76:048-007
         76:048-008
         76:07C-001

Aquifer Systems
         76:Q2F-004
         76.-02F-006
         76:02F-007
         76:02F-015
          76
          76
          76:
          76;
          76:
          76;
          76:
          76:
          76:
          76;
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
:02F'
:02F-
:02F-
:02F-
:02F-
:02F-
:02F-
;02F-
:02F-
:02F-
:02F-
02F-
02F-
02F-
02F-
02F-
04A-
04B-
04B-
04B-
048-
04B-
05A-
05A-
05A-
05A-
05A-
050-
05G-
05G-
-003
-006
-007
-009
-Oil
-014
•016
-018
•019
•022
•023
•024
•029
•030
033
•102
002
001
•002
009
010
Oil
006
025
032
036
058
003
009
019
Aquitards
Areal
         76:02F-004
         76:02F-006
         76:02F-007
         76:02F-015
         76:02F-016
         76:02F-018
         76:02B-003
         76:028-004
Arid Climates
         76:020-006

Arid Lands
         76:02G-007
         76:02G-008
         76:02G-009
         76:02K-020
         76:03A-001
         76:03F-024
         76:040-001
         76:05B-038
Arizona
         76:020-006
         76:02G-050
         76:03F-024
         76:03F-027
         76:04B-006
                                              270

-------
Arizona
     (cont.)
         76:040-001
         76:06A-008

Arkansas
         76:02F-003

Arsenic Compounds
         76:058-020

Artesian Aquifiers
         76:02F-033

Artesian Heads
         76:02F-007
         76:02F-011

Artesian Wells
         75:02F-033
         76:048-002

Artificial Recharge
         76:02F-025
Barriers
Asphalt
         76:038-001
         76:03F-044
Assessment
         76:048-003
         76:06A-003

Atmosphere
         76:028-006
         76:020-013
         76:02K-012
         76:03F-030
         76:058-022

Atmospheric Physics
         76:020-017

Atmospheric Pressure
         76:020-082

Australia
         76:021-003
         76:03A-001

Automation
         76:03F-131
         76:04A-014

Available Water
         76:02G-092
Average
         76:028-001
Bacteria
Barley
         76:050-001
         76:02K-013
         76:03F-015
         76:03F-076
         76:058-046
         76:038-001

Base Flow
         76:02F-014
         76:02F-017
         76:02F-026

Baseline Studies
         76:058-021
Basins
Beans
         76:02A-006
         76:028-005
         76:03F-131
         76:04A-014
         76:05G-026
         76:02K-013
         76:03C-005
         76:030-009
         76:03F-051
         76:03F-061
         76:03F-062
         76:03F-140
         76:05B-010
                             Behavior
Boundaries  (Surfaces)
          76:02G-073
          76:020-082
          76:020-092
          76:020-098
          76:020-100
          76:020-101
          76:02J-012
          76:03F-018

Boundary  Layers
          76:020-008
          76:020-013

Boundary  Processes
          76:02F-009
          76:020-071

Brackish Water
          76:02F-023

Brine Disposal
          76:058-036
                                                          Brines
         76:058-039
         76:050-012
         76:06A-001

Benefits
         76:04A-005
         76:04A-006
         76:06A-003
         76:06A-005
         76:06A-006

Bermuda Grass
         76:020-031
         76:03F-031

Bibliographies
         76:058-035

Biochemical Oxygen Demand
         76:058-029
         76:058-042
         76:050-008

Biochemistry
         76:058-032

Biological Treatment
         76:050-001

Border Irrigation
         76:04A-008

Boron
         76:02K-014
         76:03F-015
         76:058-055

Boulder Canyon Project Act
         76:06F-001
Bulk Density
         76:020-038
         76:020-108
         76:020-118
         76:020-119
Buoyancy
Burning
Cadmium
         76:05B-027
         76:04C-001
         76:020-060
         76:02G-062
         76:02K-010

Calcareous Soils
         76:020-064
         76:020-065
         76:02K-016
         76:03F-006
         76:03F-032
Calcium
         76:020-062
         76:020-126
         76:021-001
         76:02K-001
         76:02K-004
         76:03C-007
         76:03C-011
         76:03F-014
         76:03F-046
         76:03F-069
         76:03F-087
         76:056-054
         76:078-012
         76:07C-004
                                             271

-------
Calcium Carbonate
         76:02J-006
         76:08G-003

Calibrations
         76 :08B-001
         76:08G-001

California
         76:02F-004
         76:02F-006
         76.-02P-015
         76:02F-031
         76:026-118
         76:03C-001
         76.-03F-045
         76:03F-141
         76:04A-004
         76:056-005
         75:058-016
         76.-05G-013
         76 :05G-014
         76:05G-020
         76:06A-002
Carbonates
         76:058-015
Canada
         76:046-003
Canal Seepage
          76:04A-010
Canals
Canopy
          76:02G-017
          76:03F-028
          76:04A-010
          76:036-003
          76:036-004
          76:03F-052
          76:076-013

Capillary Action
          76:02G-019
          76:02G-037
          76:02G-071

Capillary Conductivity
          76:02G-090
          76:02G-097
Carbon
          76:02J-002
          76:050-001
Carbon Dioxide
          76:076-005
          76:07B-021

Carbonate
          76:02F-003
          76:05A-002
          76:05A-007
          76:056-015

Carbonate Rocks
          76:02F-024
Carrots
         76:03C-009
         76:03F-092
Cathodic Protection
         76:05G-009
         76:05G-013

Cation Adsorption
         76:02G-051
         76:02G-112

Cation Exchange
         76:02G-060
         76:02G-065
         76:02G-105
         76:02K-004
         76:03F-006
         76:073-008

Cations
         76:02E-001
         76:02G-051
         76:02K-012
         76:058-045
         76:05G-021

Centrifugal Pumps
         76:05G-009

Centrifugation
         76:02G-080

Channel Flow
         76:04A-003
         76:05B-031
         76:086-005

Channel Improvement
         76:03F-044

Channel Morphology
         76:058-030

Channels
         76:04A-001

Chemcontrol
         76:036-003

Chemical Analysis
         76:05A-002
         76:05A-003
         76:05A-006
         76:076-003

Chemical Degradation
         76:02G-022
         76:05A-007

Chemical Precipitation
         76:056-038

Chemical Properties
         76:02K-012
Chemical Properties
     (cont.)
         76:03C-001
         76:076-003

Chemical Reactions
         76:02K-003
         76:02K-005
         76:058-038
         76:050-001

Chemical Wastes
         76:05G-001

Chemicals
         76:02K-003

Chemistry of Precipi-
tation
         76:056-021
Chiseling
         76:03P-026
                                                          Chloride
         76:021-010
                                                          Chlorides
         76:02G-002
         76:02G-027
         76.-02G-043
         76:02G-047
         76:03F-091
         76:058-032
         76:056-037
         76:058-039
         76:058-044
         76:05G-003
         76:076-015
         76:076-030
Chlorine
         76:03C-004

Chlorophyll
         76:02H-001

Chromium
         76:02K-005
         76:02K-006

Citrus Fruits
         76-.05G-014

Clay Loam
         76:02G-002
         76:02G-005
         76:02G-078

Clay Soils
         76.-02G-047
Clays
         76:020-001
         76:02G-001
         76:02G-006
         76:02G-027
                                            272

-------
Clays
     (cont.)
         76:02G-
         76:02G-
         76:02G-
         76:02G-
         76:02G-
         76:02G-
         76:02G-
         76:02K-
         76:02K-
         76:02K-
         76:02K-
         76.-02K-
         76:03F-
         76:03F-
         76:03F-
         76:058-
         76:05G-
032
038
059
062
108
112
124
002
010
018
019
020
•001
061
•062
•018
•019
Climate
          76:076-027
Climatic Data
         76:03F-141

Cloud Cover
         76:028-006

Cloud Seeding
         76:028-008
Clovers
Coal
          76:03F-096
          76:05G-018
          76:063-002
Coastal Marshes
          76-.02G-021

Coastal Plains
          76:05G-021
Coasts
          76:02F-023
          76:03A-001
          76:05G-011

Colorado
          76:020-010
          76-.03F-060
          76:03F-078
          76:03F-141
          76:058-010
          76:05G-024
          76:05G-027
          76:060-001

Colorado  River
          76:03E-001
          76:03F-134
          76:040-006
          76:05G-021
          76:05G-027
          76:06F-001
Colorado River Basin
         76:040-006
         76:05G-027
         76:06F-001

Colorado River Compact
         76:06F-001

Columbia River
         76:068-005

Compaction
         76:02F-004
         76:02F-015

Comprehensive Planning
         76:06A-004

Compressibility
         76:02G-082

Compressive Strength
         76:02G-081

Computer Models
         76:02F-004
         76:02F-015
         76:02G-008
         76:02G-028
         76:02G-072
         76:02G-073
         76:03F-030
         76:03F-040
         76:03F-108
         76:048-007
         76:048-008
         76:05B-025
         76:058-029
         76:058-084
         76:05G-006
         76:06A-004
         76:06A-006
         76:068-002
         76:068-003
         76:06B-004
         76:078-017
         76:078-025
         76:07C-002

Computer Programs
         76:02F-014
         76:02F-028
         76:02G-127
         76:03F-019
         76:03F-124
         76:03F-125
         76:03F-133
         76.-06A-003
         76:068-002
         76:068-004
         76:07B-020
         76:07C-001
         76:07C-002
Computers
    (cont.)
         76:02F-013
         76:02F-020
         76:02G-011
         76:02G-029
         76:03F-133
         76.-04B-007
         76:058-023
         76:05B-026
         76:06A-002
         76:078-027
         76:07C-002

Conduction
         76:02F-013
         76:02F-027

Conductivity
         76:02G-009
         76:02G-080
         76:05A-005
         76:05B-041
         76:07B-002

Confined Water
         76:02F-022

Conjunctive Use
         76:048-010

Connate Water
         76:02F-006

Conservation
         76:03C-001
         76:03F-030
         76:058-002
         76:05G-015

Constraints
         76:02F-017
         76:03F-019
         76:03F-029
         76:04B-001
         76:05G-008
         76:05G-010
         76:06A-002

Construction
         76:03F-003

Construction Cost
         76:06A-005

Consumptive Use
         76:020-006
         76:038-003
         76:03F-011

Continuity Equation
         76:02F-009
         76:02F-021
         76:02G-082
              Computers
                       76:028-004
                       76:02F-005
                             Control
                                       76:05G-017
                                             273

-------
Control Systems
         76:05G-017

Convection
         76:02F-008
         76:02F-021
         76:058-026
Copper
Cores
Corn
         76:03F-013
         76:03F-061
         76:03F-062
         76:058-055
         76:078-001
         76:02F-028
         76:03F-018
         76:058-003
         76:078-004
         76:020-
         76:02G-
         76:026-
         76:026-
         76:021-
         76:021-
         76:021-
         76:021-
         76:02J-
         76.-03C-
         76:03F-
         76:03F-
         76:03F-
         76:03F-
         76:03F-
         76:03F-
         76.-03F-
         76:03F-
         76:03F-
         76:03F-
         76:03F-
         76:03F-
         76:03F-
         76:03F-
         76:03F-
         76:05B-
         76:058-
         76:07B-
         76:078-
         76:078-
001
023
048
117
002
006
008
009
015
018
006
007
013
014
033
041
060
069
078
081
082
089
•090
09S
101
010
044
019
020
024
Corn  (Field)
         76:02G-086
         76:021-004
         76:03F-023
         76:03F-026

Correlation Analysis
         76:02A-004
         76:02A-006
         76:028-001
         76:028-006
         76:020-006
         76:02E-005
             Corrosion
                      76:05G-009
                      76:05G-013
                      76:08G-003

             Cost Allocation
                      76:06A-002

             Cost Analysis
                      76:05G-009

             Cost-Benefit Analysis
                      76:050-003
                      76:06A-007
                             Costs
         76:028-004
         76;03A-001
         76.-03F-029
         76:04A-005
         76:04A-006
         76:048-005
         76:058-028
         76:06A-002
         76:08B-003
Cotton
         76:02G-114
         76:03C-016
         76:03F-019
         76:03F-042
         76:03F-055
         76:03F-058
         76:03F-094
         76:03F-110
         76:04A-009
         76:05G-007

Cotton Evaporation
         76:03F-004

Cottonwoods
         76:03B-003
         76:038-004
Cracks
         76:02F-010
Crop Production
         76:02F-031
         76:026-016
         76:02G-058
         76:021-004
         76:021-006
         76:02J-015
         76:03C-005
         76:03C-007
         76:03C-008
         76:03C-009
         76:03C-010
         76:03C-012
         76:03C-013
         76:03C-014
         76:03C-017
         76:03C-018
         76:03C-019
         76:03F-002
Crop Production
    (cont.)
         76:03F-008
         76:03F-009
         76:03F-011
         76:03F-012
         76:03F-013
         76:03F-014
         76.-03F-015
         76:03F-024
         76:03F-026
         76:03F-027
         76:03F-035
         76:03F-036
         76:03F-039
         76:03F-041
         76:03F-043
         76:03F-046
         76:03F-051
         76:03F-052
         76:03F-053
         76:03F-054
         76:03F-055
         76:03F-057
         76:03F-058
         76:03F-060
         76.-03F-063
         76:03F-066
         76.-03F-067
         76:03F-070
         76:03F-072
         76:03F-073
         76:03F-078
         76:03F-088
         76:03F-095
         76:03F-099
         76:03F-101
         76:03F-110
         76:03F-112
         76:03F-113
         76:03F-114
         76:03F-119
         76:03F-126
         76:03F-134
         76:03F-135
         76:03F-136
         76:03F-139
         76:03F-140
         76:03F-14l
         76:03F-143
         76:04A-009
         76:04A-012
         76:05A-013
         76:058-006
         76:058-007
         76:05C-002
         76:05G-006
         76:056-021
         76:06A-007
         76:068-003
         76:068-004
         76:060-002
         76:078-010
         76:078-011
         76:078-024
         76:07B-027
         76:078-030
         76:070-004
                                             274

-------
Crop Response
         76:020-007
         76:020-008
         76:02G-058
         76:020-075
         76-.02G-081
         76:02G-116
         76:02G-117
         76:02G-118
         76:021-002
         76:021-004
         76:021-006
         76:021-009
         76.-03C-004
         76:030-005
         76:030019
         76:030-001
         76:03P-002
         76:03F-007
         76:03F-008
         76:03F-Ol2
         76:03F-013
         76:03F-015
         76:03F-024
         76-.03F-026
         76:03F-027
         76.-03F-030
         76:03F-033
         76:03F-035
         76:03F-036
         76:03F-041
         76:03F-042
         76:03F-043
         76:03F-046
         76:03F-052
         76:03F-054
         76:03F-055
         76:03F-058
         76:03F-06Q
         76:03F-061
         76:03F-062
         76:03F-066
         76:03F-067
         76.-03F-070
         76:03F-071
         76:03F-072
         76:03F-073
         76:03F-074
         76:03F-076
         76:03F-077
         76:03F-082
         76:03F-083
         76:03F-094
         76:03F-101
         76:03F-110
         76:078-010
         76:07B-011
         76:078-030
Cultivation
         76:03F-026
         76:05G-002
Crops
         76.-02G-078
         76:03F-007
         76.-03F-029
         76; 03F-030
         76:05G-005
         76:06A-003
         76:06A-006
         76:08B-003
Curves
         76:02F-027
         76:04D-005
Cycling Nutrients
         76:05G-021
Damages
         76:04A-005
Darcy's Law
         76:02F-001
         76:02F-008
         76:02G-050
         76:026-052
         76:02G-069
         76:02G-073
         76:02G-082

Data Collections
         76:02A-001
         76:04A-002
         76:048-011
         76:056-028
         76:05G-011
         76:05G-017
         76:078-016
         76:078-021

Data Processing
         76:028-001
         76:028-006
         76:02F-006
         76:02G-013
         76:048-008
         76:05A-005
         76:07C-001

Data Transmission
         76:05G-017

Decision Making
         76:028-004
         76:02E-003
         76:03F-019
         76:03F-030
         76:03F-059
         76.-04A-004
         76:048-001
         76:058-028
         76:05G-008
         76:06A-001
         76:06A-002
         76:06A-003
         76:06A-004
         76:06A-005
         76:06A-006
         76:06A-007
         76:06A-008
         76:088-003

Deep Percolation
         76:02G-050
         76:03F-037
Deep Percolation
     (cont.)
         76:03F-065
         76:058-019

Demonstration Watersheds
         76:03F-063

Dendrochronology
         76:06F-001

Denitrification
         76:02G-043
         76:02G-044
         76:02G-046
         76:02G-047
         76:02G-055
         76:02G-056
         76:02G-109
         76:02K-003
         76:02K-021
         "6:03F-001
         76:03F-082
         76:058-013
         76:058-046
         76:050-001
         76:078-007
Density
         76:02G-082
Deposition (Sediments)
         76.-04D-005

Depth
         76:02F-009,
         76:02G-087i
         76:04A-002;
         76:048-006
         76:048-008
         76:05G-009

Desalination
         76:02G-024
         76:05G-025
         76:06A-002

Desalination Plants
         76:03A-001

Design
         76:028-004
         76:02J-008
         76:03F-018
         76:058-042
         76:06A-002
         76:06A-005
         76:06A-006
         76:088-003

Design Criteria
         76:03F-003

Desorption
         76:02K-001

Dewatering
         76:05G-009
                                             275

-------
Diffusion
         76:02F-021
         76:02G-006
         76:02G-085
         76:02G-086
         76:02G-094
         76:02G-098
         76:02G-099
         76:02G-104
         7S:02K-021
         76 :05B-027
         76:078-020

Diffusivity
         76:02G-010
         76:02G-030
         76:02G-036
         76:02G-067
         76:02G-070
         76:02G-074
         76:02G-080
         76:02G-085
         76:02G-088
         76:02G-094
         76:02G-095
         76:02G-098
         76:02G-099
         76:02G-100
         76:02G-101
         76:058-033

Digital Computers
         76:02F-006
         76:02G-087

Dimensional Analysis
         76:02F-020

Discharge Measurement
         76:04B-011
         76:08B-001

Discharge  (Water)
         76:028-005
         76:020-001
         76:02F-001
         76:03F-001
         76:058-022
         76:088-001

Dispersion
         76:02F-008
         76:058-023
         76:058-026
         76:056-030
         76:056-033

Dissolved Oxygen
         76:02G-021
         76:058-029
         76:058-042

Dissolved Oxygen Analyzers
         76:05A-003

Dissolved Solids
         76:02F-006
         76:02F-034
Dissolved Solids
    (cont.)
         76:02G-128
         76:03C-011
         76:030-017
         76:040-006
         76:05A-002
         76:05A-009
         76:05C-001
         76:076-022
         76:078-030

Distribution
         76:048-001

Distribution Patterns
         76:056-023
         76:056-030

Distribution Systems
         76:02A-008
         76:02E-009
Ditches
         76:03F-044
Domestic Wastes
         76:050-001

Downstream
         76:06A-006
Drag
         76:04A-003
Drainage
         76:
         76:
         76;
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
02A-005
02F-001
02F-002
02F-031
02F-032
02G-011
02G-013
02G-069
02G-081
02G-083
02G-087
02G-116
02G-120
03C-011
03C-017
03F-044
03F-045
05A-014
058-004
05B-056
05G-009
05G-025
078-029
07C-004
08G-002
Drainage Area
         76.-02E-007
         76:02J-010

Drainage Density
         76:02E-007
Drainage Districts
         76:068-005

Drainage Effects
         76:02G-069
         76:02G-081
         76:02G-120
         76.-03F-044
         76:03F-045
         76:04A-013
         76:05A-014
         76:068-005

Drainage Engineering
         76:02G-120
         76:068-005
         76:08G-002

Drainage Patterns
(geologic)
         76:02E-007

Drainage Practices
         76:02F-031
         76:02G-069
         76:02G-081
         76:02G-116
         76:02G-120
         76:03F-044
         76:068-005
         76:08G-002

Drainage Programs
         76:068-005

Drainage Systems
         76:02E-007
         76:02F-005
         76:02G-120
         76:04A-002
         76:04A-013
         76:05G-009

Drainage Water
         76:03C-011
         76:03F-045
         76:058-004
         76:056-054
         76:068-005
         76:078-006
         76:078-015

Drainage Wells
         76:05G-009
Drains
         76:02F-002
         76:02F-005
         76:02F-009
         76:04A-002
         76:04A-013
         76:068-005
                 Drawdown
                          76:02F-005
                          76:02F-007
                          76:02F-012
                                             276

-------
Drawdown
    (cont.)
         76:02F-016
         76:02F-018
         76:02F-022
         76:02F-029
         76:02J-012
         76:04B-002
         76:04B-007
         76:048-008
         76:05G-009

Drop Production
         76:03F-007
Economics
     (cont.)
         76:05G-024
         76:05G-027
         76:06A-003
         76:06A-005
         76:06A-007
         76:06A-008
         76:068-002
         76:060-001
         76:078-025
         76:088-003
Drought
         76:020-013
                             Eddies
                             Effects
Droughts
         76:02G-007
         76:02G-008
                                       76:03F-052
         76:058-037
         76:05G-012
Drying
         76:02G-003
         76:02G-016
         76:02G-071
         76:02G-083
         76:03F-036

Dupuit-Forcheimer Theory
         76:02F-005
         76:02F-009
         76:02F-012
         76:02F-025

Dye Concentration
         76:058-027

Dye Releases
         76:058-027

Dynamic Programming
         76:03F-135
         76:04A-004
         76:058-029
         76:05G-004
         76:06A-006

Economic Efficiency
         76:04A-006
         76:06A-006

Economic Impact
         76:05G-010
         76:060-001
Economics
         76:02E-015
         76:02J-015
         76:03A-001
         76:030-012
         76:030-014
         76:03F-123
         76:04A-011
         76:048-010
         76:05C-001
         76:050-004
         76:050-005
Effluent Streams
         76.-02F-028

Effluents
         76:030-001
         76:058-014
         76:058-016
         76:058-027
         76:058-042
         76 :05B-053
         76.-05G-012

Elasticity (Mechanical)
         76:02F-007
         76:02F-018

Electric Power Costs
         76:05G-009

Electrical Conductance
         76:020-015

Electrical Conductivity
         76:02G-012

Electrical Equipment
         76:026-015

Electrical Properties
         76:026-001
         76:078-003

E1ec tro chemi s try
         76:02G-001

Electrodes
         76:078-026

Electrolysis
         76:05G-009

Elements
         76:058-008

Encroachment
         76:02L-001
Energy
          76:03A-001
          76:03E-001
          76:03F-102
          76:03F-123
          76:03F-133
          76:048-005
          76.-05C-002
          76:050-004
          76:06E-002
          76:078-025
          76:088-007

Energy Balance
          76:020-007

Energy Budget
          76:020-004
          76:020-010
          76:020-011
          76:03F-016
          76:058-022

Energy Conversion
          76:03F-102
          76:050-004

Energy Equation
          76:02F-008

Energy Transfer
          76:028-006
          76:020-005

Engineering
          76:03F-028

Environmental Control
          76:05G-012

Environmental Effects
         76:021-003
Enzymes
         76:021-001
Equations
         76:02A-001
         76:02A-007
         76:02A-008
         76:028-003
         76:028-004
         76:028-005
         76:028-006
         76:02C-001
         76:020-003
         76:020-006
         76:020-011
         76.-02E-006
         76:02F-002
         76:02F-005
         76:02F-006
         76:02F-007
         76:02F-008
         76.-02F-009
         76:02F-011
         76:02F-012
                                             277

-------
Equations
    (cont.)
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
:02F-013
:02F-016
:02F-017
:02F-018
:02F-019
:02F-020
:02F-021
:02F-023
:02F-025
:02F-027
:02G-010
:02G-011
:02G-017
:02G-019
:02G-029
:02G-070
:02G-071
:02G-072
:02G-073
.-02G-074
:02G-077
:02G-082
:02G-085
:02G-087
:02G-088
:02G-089
:02G-090
:02G-091
:02G-092
:02G-094
:02G-095
:02G-098
:02G-099
:02G-100
:02G-101
:02G-102
:02J-010
:02J-011
:03F-018
:03F-019
:03F-021
:03F-029
:03F-030
:03F-059
:04A-001
:04A-005
:04A-006
:04B-001
:04B-003
:04B-005
:04B-006
:040-005
:05B-022
:05B-023
:05B-026
:05B-027
:05B-028
 05B-029
 05B-030
 05B-031
 05B-032
 05B-042
 05G-008
 06A-001
 06A-002
 06A-004
Equations
     (cont.)
         76:06A-005
         76:06A-006
         76:06A-007
         76:06D-001
         76.-07B-009
         76:088-003
         76:08G-001

Equilibrium
         76:020-011
         76:02F-011
         76:02F-019
Equipment
         76:02G-004
         76:02G-015
         76:033-001
         76:078-003
Erosion
         76:02E-001
         76:02J-001
         76:02J-002
         76:02J-003
         76:02J-004
         76:02J-005
         76:02J-006
         76:02J-008
         76:02J-015
         76:02J-016
         76:03F-014
         76:03F-101
         76:03F-111
         76:04A-005
         76:040-001
         76:040-005
         76:05G-002
         76:05G-017

Erosion Control
         76:02J-011
         76;03F-111
         76:05G-002

Erosion Rates
         76:02J-001

Estimating
         76:02B-004
         76:020-004
         76:020-009
         76:03F-016
         76:04A-005
         76:040-005
         76:05B-028
         76:05B-040
         76:06A-003
         76:06A-004
         76:06A-006
         76:060-001
         76:076-003
         76:070001

Estimation
         76:06A-002
Estaurine  Environment
         76:021-005

Eutrophication
         76:02H-001
         76:058-028

Evaluation
         76:02A-001
         76:058-028
         76:08B-003

Evaporation
         76:020-002
         76:020-003
         76:020-005
         76:020-011
         76:020-012
         76:020-013
         76:02G-013
         76:02G-016
         76:02G-025
         76:02G-030
         76:02G-038
         76:02G-078
         76:02G-083
         76:03F-036
         76:03F-040
         76:03F-070
         76:03F-129
         76:05A-014
         76:07B-018

Evaporation Pans
         76:03F-002

Evapotranspiration
         76:02A-003
         76:020-002
         76:020-004
         76:020-006
         76:020-007
         76:020-008
         76:020-009
         76:020-010
         76:020-012
         76:020-013
         76:02F-005
         76:02G-028
         76:02G-041
         76:02K-020
         76:038-002
         76:03C-018
         76:03F-011
         76:03F-039
         76:03F-040
         76:03F-047
         76:03F-052
         76:03F-068
         76:03F-070
         76:03F-071
         76:03F-140
         76:03F-141
         76:03F-142
         76:078-009
         76:078-013
         76:078-029
                                            278

-------
Fallout
         76:02K-012
Fallowing
         76:03F-063

Farm Management
         76:020-078
         76:02J-011
         76:040-005
         76:05G-005

Farm Ponds
         76:05A-003

Farm Wastes
         76:02K-006
         76:02K-013
         76:03F-076
         76:056-009
         76:05B-011
         76:058-040
         76:05B-054
         76:050-005
         76:05G-005
         76:07B-015

Farms
         76:03F-029
         76:03F-059
         76:050-010

Faults  (Geological)
         76:02F-006
         76:02F-024

Feasibility
         76:06A-001

Federal Government
         76:056-015

Federal Water Pollution
Control Act
         76:05G-016

Feed Lots
         76:058-035

Fertilization
         76:020-045
         76:02G-055
         76:02G-064
         76:02G-117
         76:021-006
         76:021-008
         76:02K-021
         76:03C-007
         76:030-010
         76:030-001
         76:03F-005
         76:03F-006
         76:03F-008
         76:03F-009
         76:03F-013
         76:03F-023
         76;03F-024
         76:03F-Q26
         76.-03F-031
Fertilization
     (cont.)
         76:03F-033
         76:03F-035
         76:03F-037
         76:03F-046
         76:03F-049
         76:03F-053
         76:03F-056
         76:03F-057
         76:03F-058
         76:03F-060
         76:03F-061
         76:03F-062
         76:03F-064
         76:03F-065
         76:03F-072
         76:03F-073
         76:03F-074
         76:03F-077
         76:03F-080
         76:03F-081
         76:03F-082
         76:03F-085
         76:03F-086
         76:03F-088
         76:03F-089
         76:03F-090
         76:03F-094
         76:03F-105
         76:03F-110
         76:03F-112
         76:03F-113
         76:03F-115
         76:03F-116
         76:03F-120
         76:03F-126
         76:05B-003
         76:058-010
         76:058-018
         76:058-019
         76:058-048
         76:05G-021
         76:07B-010
         76:078-011
Fertilizers
         76:
         76:
         76;
         76:
         76:
         76;
         76;
         76:
         76:
         76:
         76;
         76:
         76;
         76:
         76:
         76;
         76;
         76:
         76;
         76;
         76;
02F-003
02G-055
020-117
021-006
021-008
03F-005
03F-008
03F-009
03F-046
03F-049
03F-056
03F-058
03F-060
03F-062
03F-064
03F-069
03F-072
03F-073
03F-077
03F-080
03F-081
                 Fertilizers
                      (cont.)
                          76;
                          76:
                          76:
                          76:
                          76:
                          76:
                          76:
                          76:
                          76:
                          76:
                          76:
                          76:
                          76;
                          76:
                          76:
                          76:
                          76:
                          76:
                          76:
                          76:
                          76;
                          76:
                          76;
                          76:
                          76:
                          76:
                          76:
            03F-
            03F-
            03F-
            03F-
            03F-
            03F-
            03F-
            03F-
            03F-
            03F-
            03F-
            058-
            058-
            058-
            058-
            05B-
            058-
            058-
            05B-
            058-
            05B-
            058-
            05G-
            05G-
            050-
            050-
            050-
-082
-085
-086
•088
•090
•112
•113
•115
•116
•120
126
001
002
003
004
007
010
012
013
019
034
037
001
005
007
014
021
                 Fescue
                          76:02K-014
                 Field Capacity
                          76:02G-053
                          76:02K-005
                          76:02K-020
                          76:03F-054
                 Filters
                          76:03F-117
Filtration
         76:03F-117
         76:03F-128
         76:058-038
         76:05G-002
         76:078-006

Finite Element Analysis
         76:02F-006
         76:02F-013
         76:02F-014
         76:02F-026
         76:058-024
         76:058-025
         76:058-026
         76:070-002
Fishing
         76:06A-007
Fissures (Geologic)
         76:02F-018
         76:048-008
                                             279

-------
Flocculation
         76:02G-059

Flood Damage
         76:04A-005

Flood Forecasting
         76:023-005
         76:020-013

Flood Frequency
         76:02A-007

Flood Irrigation
         76:Q2G-045
         76:03F-131
         76:04A-012

Flood Peak
         76:02E-007

Flood Plains
         76:020-006

Flood Protection
         76:06A-005

Flooflwater
         76:02G-021
Floods
Florida
Flow
         76:02E-007
         76:03F-Q09
         76:05B-012
         76:02A-004
         76:020-001
         76:02E-006
         76.-02F-002
         76:02F-008
         76:02F-010
         76:02F-013
         76:02F-016
         76.-02F-017
         76:02F-021
         76:02G-017
         76:02G-019
         76:02G-086
         76:03F-111
         76:04A-003
         76:058-024
         76:058-025
         76:058-030
         76:058-033
         76:05G-002
         76:05G-008

Flow Measure
         76:088-008

Flow Measurement
         76:088-001
         76:08G-001
Flowmeters
         76:088-001

Flow Nets
         76:02F-028
         76:02F-030

Flow Rates
         76:020-001
         76:020-009
         76:02E-004
         76:083-001
         76:08B-004
         76:088-008

Flow Resistance
         76:02E-011
         76:02F-001
         76:02G-006
         76:03F-111
         76:04A-003

Flow System
         76:02F-014
         76:02F-016
         76:058-024

Fluctuations
         76:058-039

Fluid Friction
         76:04A-003

Fluid Mechanics
         76:02F-021
         76:04A-003
                             Flumes
         76:088-008
Fluvial Sediments
         76:02J-006
Foliar
         76:038-003
         76:038-004
Foliar Application
         76:038-003
         76:038-004

Food Abundance
         76:03F-104
Foods
         76:03F-104
Forced Drying
         76:020-003

Forecasting
         76:020-004
         76:020-012
         76:02E-008
         76:02F-026
         76:026-018
         76:03F-016
Forecasting
     (cont.)
          76:03F-059
          76:04B-006
          76:040-005
          76:058-032
          76:05B-037
          76:05B-040
          76:06A-003

Foreign Countries
          76:056-037

Foreign Projects
          76:058-037

Forest Management
          76:040-003

Forest Watersheds
          76:026-005
          76:02K-012
          76:040-001
          76:056-021
Forests
         76:026-005
         76:02K-012
Fourier Analysis
         76:02E-008
         76:058-026

Fracture Permeability
         76:02F-010
         76:02F-013
         76:04B-008

Fractures (6eologic)
         76:02F-010
         76:02F-018

Free Surfaces
         76:02F-001

Freezing
         76:07B-006

Freshwater
         76:02L-001
         76:03A-001

Fungicides
         76:026-044

Furrow Irrigation
         76:026-069
         76:03F-033
         76:03F-037
         76:03F-043
         76:03F-051
         76:03F-098
         76:03F-109
         76:03F-111
         76:03F-138
         76:04A-012
         76:056-002
                                             280

-------
Furrow Irrigation
     (cont.) • -
         76:05G-021
         7.6:088-006

Furrow Systems
         76:08B-006
Furrows
         76:02G-069
         76:03F-111
         76:088-006
Gas Chromatography
          76:07B-005

Geochemistry
          76:02F-024
          76:05B-038

Geologic  Control
          76:02E-Q07

Geology
          76:05A-002
          76:05A-006
          76:056-003
          76:05B-036

Geomorphology
          76.-02E-Q07

Geophysics
          76:02F-027
          76:078-003

Georgia
          76:02K-019
          76:03F-057
          76:056-047
          76:05B-052

Geothermal  Studies
          76:030006

Germination
          76:021-003
          76.-03F-092

Glacial Aquifers
          76:058-041

Grain  Size
          76:020001

Grain  Sorghum
          76:026-116
          76:03F-004
          76:03F-036
          76:03F-043
          76:03F-063
          76:03F-066
          76:03F-069
          76:03F-079
          76:03F-098
          76:p5B-004
          76:05G-007

Grains (Crops)
          76:03F-015
Graphical Analysis
         76:02A-006
         76:02F-005
         76:02F-016
         76:02F-018
         76:02F-020
         76:02F-027
         76:02G-074
         76:04A-002
         76:058-023
         76:07C-001

Graphical Methods
         76.-02G-082
         76:07C-001

Grassed Water Ways
         76:040001

Grasses
         76:020-010
         76:021-003
         76:021-005
         76:03F-096
         76:04A-001

Grasslands
         76:03F-040
         76:03F-105

Gravitational Water Sorption
         76:02G-089
Gravity
         76:02G-011
         76:02G-095
Great Lakes
         76:05G-011

Great Plains
         76:020-004
         76:020-010
         76:02G-078
         76:03F-016

Greenhouse Experiments
         76:02G-119
         76:021-008
         76:021-009
         76:03F-082
         76:03F-091

Greenhouses
         76:02G-060
         76:02G-103
         76:02G-111
         76:02K-014

Grey-Brown Podzolic Soils
         76:02G-003

Groundwater
         76:020-009
         76:02E-015
         76:02F-006
         76:02F-008
         76:02F-009
         76:02F-010
Groundwater
          76
          76
          76
          76
          76
          76
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
          76:
         76:
         76:
         76:
          76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
          76:
:02F
:02F
:02F
:02F
:02F
:02F
:02F
:02F
:02F
:02F
:02F'
:02G-
:02G-
:02G'
:02G-
:02L-
:03B-
:03C-
:03C-
:03F-
:04B-
:04B-
:04B-
:04B-
:04B-
;05A-
:05A-
05A-
058-
058-
058-
058-
058-
058-
058-
058-
058-
05B-
05B-
05B-
058-
05B-
05B-
050-
050-
05G-
05G-
05G-
05G
05G
06F
078
-012
-017
-020
-022
-023
-024
-027
-029
-030
-033
-034
•001
•079
•097
•124
•001
•003
•001
•006
•102
•001
•003
 007
 009
 010
•004
 007
 010
 002
 003
 007
 010
 016
 017
 019
 024
 025
 032
 036
 037
 039
 041
 045
 001
 003
 003
 013
 014
 019
 022
 001
 029
Groundwater Aquifers
         76:02F-026
         76.-03F-102

Groundwater Barriers
         76:02F-030

Groundwater Basins
         76:02F-006
         76:02F-025
         76:038-003

Groundwater Management
         76:02F-034
         76:03F-102
                                              281

-------
Groundwater Mining
         76:048-010
                 Hardness (Water)
                          76:08G-003
                             History
                                                                   76:058-028
Groundwater
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76;
Movement
02F-002
02F-005
02F-006
02F-008
02F-009
02F-010
02F-013
02F-016
02F-018
02F-022
02F-023
02F-025
02F-026
02F-028
02G-002
02G-005
02G-006
02G-007
02G-OQ8
02G-076
02G-077
02G-080
02G-083
03F-018
04A-002
05A-007
058-024
05B-025
05G-003 ,
078-009
Groundwater Potential
         76:02F-008
         76:02G-071
         76:02G-079

Groundwater Recharge
         76:02F-009
         76:02F-020
         76:02F-025
         76:02F-030
         76:02K-020
         76:03F-063
         76:046-009
         76:058-025
         76:058-032
         76:058-039

Groundwater Resources
         76:02F-030

Growth Rates
         76:021-002
         76:021-004

Growth Stages
         76:03F-002
Gypsum
Hail
         76:03F-087
         76:03F-089
                 Hawaii
         76:02G-005
         76-.02G-014
         76:02G-024
         76:02G-049
         76:02J-001
Hazards
         76:02G-004
Head Loss
Heat
         76:048-007
         76:050-002
         76:050-004
Heated Water
         76:058-031

Heat Flow
         76:020-003
         76:02G-007
         76:02G-008
         76:02G-039
         76:020-040
         76:050-002

Heat Resistance
         76:020-008

Heat Transfer
         76:020-007
         76:020-008
         76:02F-013
         76:058-022
         76:058-031
         76:050-004

Heavy Metals
         76:02G-027
         76:02G-048
         76:02G-060
         76:02G-062
         76:021-001
         76:02K-010
         76:078-001
                 Height
                          76:06A-005
                 Herbicides
                          76:02E-002
                          76:02G-044
                          76:02G-053
                          76:03F-119
                          76:058-006
                          76:058-012
                          76:058-014

                 Heterogeneity
                          76:02F-005
                          76:02F-006
                          76:02F-018
                          76:02F-027
Homogeneity
          76:02F-018
          76:02G-017
          76:02G-090
          76:048-006

Hudson River
          76:058-027
          76:05G-008

Humid Area
          76:02F-032
          76:03F-033

Humid Climates
          76.-03F-033

Humidity
          76:03F-075
          76:058-022
          76:078-014

Hydraulic Conductivity
          76:020-001
          76:02F-004
          76:02F-005
          76:02F-006
          76:02F-015
          76:02F-019
          76:02F-022
          76:02F-028
          76:02F-029
          76:02G-006
          76:02G-010
          76:02G-014
          76:02G-016
          76:026-019
          76:02G-030
          76:02G-037
          76:02G-041
          76:02G-049
          76:02G-052
          76:02G-070
          76:02G-073
          76:02G-079
          76:02G-080
          76:02G-081
          76:02G-087
          76-.02G-088
          76:02G-090
          76:02G-092
          76:02G-097
          76:02G-120
          76:02G-127
          76-.03C-015
          76:03F-001
          76:03F-021
          76:04A-002
          76:05G-013
          76:05G-025
          76:070-001

Hydraulic Design
          76:088-007
                                            282

-------
Hydraulic Gradient
         76:02G-092
         76:03F-018
         76:05G-009

Hydraulic Models
         76:02F-010

Hydraulic Properties
         76:02F-016
         76:02F-018
         76:02G-083
         76:03F-018
         76:04A-001

Hydraulics
         76:02F-010
         76:02F-014
         76:02F-029
         76:02G-017
         76:02G-018
         76:02G-019
         76:02J-012
         76:03F-019
         76.-04A-001
         76:04A-003
         76:086-004
         76:08B-006
         76:08B-007

Hydrodynamics
         76:02F-018

Hydroelectric
         76:05G-018

Hydroelectric Power
         76:04A-004

Hydrogen Ion Concentration
         76:05B-038
         76:08G-003

Hydrogen Sulfide
         76:05G-001

Hydrogeology
         76:02F-010
         76:02F-026
         76:02F-027
         76:02F-028
         76:02L-001
         76:05A-006
         76:058-019
         76:053-036

Hydrograph Analysis
         76:02E-003

Hydrographs
         76:02A-003
         76:03B-002
         76:05G-003

Hydrologic Aspects
         76:03A-001
         76:03F-059
         76:06A-005
         76:078-024
Hydrologic Budget
         76:020-006

Hydrologic Cycle
         76:02A-002

Hydrologic Data
         76:02A-001
         76:02A-002
         76:02A-004
         76:020-009
         76:02E-003
         76:048-011
         76:058-030
         76:05G-003
         76:078-024

Hydrologic Properties
         76:02G-005
         76:02G-080
         76:058-032

Hydrologic Systems
         76:02A-008
         76:02E-003
Hydrology
         76;
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76;
         76;
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
02A-001
02A-002
02A-003
02A-004
02A-006
02A-008
028-001
02B-004
02E-003
02E-004
02E-005
02E-006
02E-007
02E-009
02F-010
02F-026
02G-017
03B-002
03B-004
04C-001
04D-003
040-006
058-050
05G-003
05G-015
06A-004
06F-001
078-013
088-003
Hydrolysis
         76:02J-009
         76:058-038

Hydrostatic Pressure
         76:02G-083

Hyetographs
         76:028-003
                 Hysteresis
                           76:020-003
                           76:02G-071
                           76:02G-083
                           76:02G-093
                           76:02G-097
                           76:02G-114
                           76:02K-008
                           76:03F-018
                 Ice
                 Idaho
                          76:02A-001
                          76:02A-002
                          76:03F-083
                          76:03F-140
                          76:03F-141
                          76:058-008
                 Illinois
                             Illite
                          76:02B-002
                          76:04A-005
                          76:05A-002
                          76:02G-062
Impoundments
         76:058-028

Income Distribution
         76:05G-012

Income Methodology
         76:06A-003

Incubation
         76:078-007
Indiana
         76:05G-010
Industrial Wastes
         76:05G-001

Industries
         76:048-005
Infiltration
         76:02A-008
         76:02E-009
         76:02E-012
         76:02G-002
         76:02G-003
         76:02G-005
         76:02G-014
         76:02G-016
         76-.02G-018
         76:02G-019
         76:02G-025
         76:02G-026
         76:0?G-029
         76:02G-034
         76:02G-035
         76:02G-037
         76:02G-038
         76:02G-049
         76:02G-071
         76-.02G-072
         76:02G-079
                                             283

-------
Infiltration
    {cont.)
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         '76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
02G-080
02G-082
02G-083
02G-085
02G-087
02G-091
02G-095
02G-099
02G-100
02G-101
02G-102
02G-118
02G-120
02G-123
02J-005
02K-020
03F-001
03F-065
03F-099
03P-109
03F-137
05B-004
05B-012
05B-024
05B-025
05G-001
05G-013
08B-006
Infiltration Rates
         76:02G-029
         76:02G-084
         76:02G-087
         76:02G-089

Infiltrometers
         76:02G-005
Inflow
         76:030001
         76:06A-006
Information Retrieval
         76:076-027

Inhibition
         76:02E-010
         76:020-044

Injection Wells
         76:050-003

Inorganic Compounds
         76:05D-001

Input-Output Analysis
         76:02E-003
         76:046-010
         76:060-001

Insecticides
         76.-02G-022
         76:02G-044
         76:02G-051
Institutional Constraints
         76:06E-002

Institutions
         76:05G-020

Instrumentation
         76:02G-004
         76:02G-005
         76:02G-015
         76:04C-001
         76:05A-003
         76.-05G-003
         76:07B-003
         76:088-001
         76:08G-001

Interfaces
         76:02F-023

Investment
         76:06A-002

Ion Transport
         76:02E-004
         76:03F-001
Ions
         76:02G-066
         76:020-122
         76:02K-012
         76:02K-015
         76:02K-018
         76:078-004
                 Iowa
                 Iron
                          76:05B-002
                          76:021-002
                          76:02K-018
                          76:03F-013
                          76.-03F-062
                          76:03F-067
                          76:058-055
                          76:05F-001
                          76:07B-010

                 Iron Bacteria
                          76:05F-001

                 Iron Oxides
                          76:02K-019

                 Irrigated Land
                          76:03C-001
                          76:05B-012
                          76:058-053

                 Irrigation
                          76:02E-015
                          76:02F-032
                          76:02G-002
                          76:02G-015
                          76:020-017
                          76:02G-037
                          76:02G-045
Irrigation
    (cont.)
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76:
         761
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76r
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76
         76
         76:
         76:
         76:
:02G-075
:02G-078
:02G-087
:02G-125
:0?-G-127
:02G-128
:02I-010
:03C-Q01
:03C-004
:03C-006
:03C-009
-.03C-014
:03C-015
-.03F-001
:03F-003
:03F-005
-;03F-010
:03F-011
-.03F-018
:03F-033
:03F-034
:03F-037
:03F-038
:03F-043
:03F-044
:03F-046
:03F-051
:03F-055
:03F-078
:03F-079
•03F-084
:03F-090
:03F-094
:03F-095
:03F-096
:03F-D98
:03F-099
:03F-103
:03F-108
:03F-109
:03F-110
:03F-114
r03F-115
:03F-117
 03F-118
 C3F-119
 03F-120
 03F-121
 03F-122
 03F-123
 03F-124
 03F-125
 03F-127
 03F-128
 03F-131
 03F-132
 03F-133
 < 3F-134
 03F-136
 03F-138
 03F-140
 03F-141
 03F-142
 04A-006
 04A-007
 04A-008
                                            284

-------
Irrigation
    (cont.)
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
04A-
04A-
04A-
04A-
04B-
04B-
05A-
05A-
05B-
05B-
05B-
05B-
05B-
05B-
05B-
050-
05D-
05D-
05D-
05G-
05G-
05G-
05G-
056'
06A-
06A'
06A
06B'
06B'
:06C
07B'
:07B'
07B
07B
:07C
;08B
010
012
•013
•014
•009
•010
•010
•014
•003
•006
•012
•036
•046
•057
•059
•002
-001
-002
-005
-015
•020
-021
-026
-027
-003
-004
-010
-003
-004
-001
-Oil
-015
-025
-027
-003
-004
Irrigation Canals
          76:026-017
          76:04A-013
          76:05A-003
          76:05B-006

Irrigation Design
          76:03F-003
          76.-03F-108
          76:03F-137
          76:06A-010
          76:08B-007

Irrigation Districts
          76:04A-010
          76:060-001

Irrigation Ditches
          76:04A-013

Irrigation Effects
          76:02E-015
          76:02G-023
          76:02G-045
          76:02G-075
          76:02G-113
          76:02G-127
          76:026-128
          76:021-010
          76:030001
Irrigation
    (cont.)
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
Effects

:03C-004
:03C-017
:03F-002
.•03F-003
:03F-005
:03F-010
:03F-011
:03F-024
:03F-026
:03F-033
:03F-034
:03F-037
:03F-041
:03F-064
:03F-065
:03F-071
:03F-079
:03F-090
:03F-092
:03F-096
:03F-098
:03F-099
:03F-129
:04A-007
:04A-013
:04B-009
:05A-014
:05B-006
:05B-010
:05B-046
:05B-049
:05B-056
:05B-057
:05B-059
:05C-002
:05D-002
:06A-010
:06B-003
:07B-011
:07B-015
:08B-006
                  Irrigation Efficiency
                           76:03C-017
                           76:030-018
                           76:03F-001
                           76:03F-002
                           76:03F-003
                           76:03F-024
                           76:03F-028
                           76:03F-030
                           76:03F-099
                           76:03F-106
                           76:03F-114
                           76:03F-118
                           76:03F-122
                           76:03F-127
                           76:03F-130
                           76:03F-131
                           76:03F-132
                           76:03F-133
                           76:03F-134
                           76:03F-135
                           76:03F-136
                           76:03F-137
                           76:03F-138
Irrigation Efficiency
     (cont.)
         76:03F-139
         76:03F-141
         76:03F-142
         76:04A-011
         76.-04A-012
         76:05A-010
         76:05G-001
         76:05G-026
         76:06A-006
         76:070-003
         76:08B-007

Irrigation Engineering
         76:03F-071
         76:03F-103
         76:03F-106
         76:03F-123
         76:06A-010
         76:088-001

Irrigation Operation
and Maintenance
         76:03F-005
         76:056-001

Irrigation Operation
and Management
         76:04A-013

Irrigation Practices
         76:02G-043
         76:030-001
         76:030-002
         76:030-014
         76:030-015
         76:03F-001
         76:03F-002
         76:03F-003
         76:03F-010
         76:03F-011
         76:03F-034
         76:03F-038
         76:03F-042
         76:03F-043
         76:03F-046
         76:03F-048
         76:03F-050
         76:03F-051
         76:03F-055
         76:03F-064
         76:03F-065
         76:03F-071
         76:03F-079
         76:03F-081
         76:03F-092
         76: 03F-094
         76:03F-095
         76:03F-096
         76:03F-099
         76:03F-103
         76:03F-106
         76:03F-107
         76:03F-109
         76:03F-114
         76:03F-115
         76:03F-117
         76:03F-118
         76:03F-119
                                             285

-------
Irrigation Practices
    (cont.)
         76:03F-120
         76:03F-124
         76:03F-125
         76:03F-127
         76:03F-128
         76:03F-129
         76:03F-131
         76:03F-136
         76:04A-007
         76:04A-012
         76.-04A-014
         76:05A-008
         76:058-049
         76:050-005
         76:05G-002
         76:05G-026
         76:05G-027
Irrigation
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
Systems
:03C-001
:03C-002
:03F-001
:03F-003
:03F-005
:03F-010
:03F-019
:03F-028
:03F-033
:03F-038
:03F-044
:03F-048
:03F-050
:03F-071
:03F-078
:03F-103
:03F-106
:03F-108
:03F-109
:03F-110
:03F-114
:03F-117
:03F-119
:03F-122
:03F-127
:03F-129
:03F-130
:03F-132
:03F-133
:03F-136
:03F-137
:03F-138
:03F-141
:03F-142
.-04A-007
:04A-008
:04A-011
:04A-012
:04A-013
:04A-014
:05A-010
:05G-010
:06A-010
:07B-011
:07B-025
Irrigation Systems
     (cont.)
         76:088-004
         76:088-006

Irrigation Water
         76:02F-031
         76:02F-034
         76:026-126
         76:030-001
         76:03C-006
         76:03C-012
         76:03C-013
         76:03C-014
         76:03C-016
         76.-03C-017
         76:03C-018
         76:03F-002
         76:03P-009
         76:03F-030
         76:03F-059
         76:03F-081
         76:03F-084
         76:03F-115
         76:03F-117
         76:03F-119
         76:03F-135
         76:03F-138
         76:058-049
         76:058-054
         76:058-059
         76:050002
         76:050-003
         76:050-006
         76:05G-027
         76:068-003
         76:068-004
         76:060-002
         76:078-029
         76:070-003
         76:070-004

Irrigation Wells
         76:08G-001
Islands
Kansas
         76:02F-009
         76:03F-060
         76:03F-063
Kaolinite
         76:02G-062
Kentucky
         76:02G-031

Kentucky Bluegrass
         76:030-001
         76:03F-053
Kinetics
         76:02B-005
         76:02G-104
         76:02G-106
         76:02G-109
         76:02K-008
                                               Kinetics
                                                   (cont.)•
                                                        76:058-012
                                                        76:050-001

                                               Laboratories
                                                        76:07B-002

                                               Laboratory Studies
                                                        76:078-012
Laboratory
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76

Lake Beds
Tests
.-02F-010
:02G-001
:02G-003
:02G-008
:02G-012
:02G-016
:02G-021
:02G-029
:02G-033
:02G-053
:02G-080
:02G-083
:02G-091
:02G-092
:02G-102
:02G-103
:02J-001
.-03F-018
:04A-001
:04A-002
:04D-001
:07B-002
:07B-003
:07B-004
:07B-006
:07B-008
:08G-001
         76:02H-001

Lake Sediments
         76:02H-001
                             Lakes
         76:020-011
         76:05A-003
Laminar Flow
         76:02F-010

Landfills
         76:05A-007
         76:05B-041

Land Forming
         76:03F-063

Land Management
         76:02G-081
         76:040-005
         76:058-019

Land Reclamation
         76:02L-001
         76:088-003
                                            286

-------
Land Subsidence
         76:02F-004
         76:02F-015

Land Use
         76:056-009
         76:053-013
         76:05B-037
         76:05G-015

Laplaces Equation
         76:02F-Q20
         76:05B-023

Larae Watersheds
         76:02J-010

Latent Heat
         76:020-007
         76:020-008
Leachate
         76:02G-091
         76:02K-020
         76:05A-006
         76:05A-007
         76:058-004
         76:056-038
         76:05G-006
Leachina
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
02E-002
02G-023
02G-043
02G-047
02G-055
02G-056
02G-084
02G-106
02K-004
02K-021
03C-011
03C-013
03C-014
03C-016
03C-018
03F-009
03F-033
03F-047
03F-065
03F-082
03F-090
04A-009
05A-006
05A-010
05A-013
05A-014
05B-001
05B-002
05B-003
05B-004
05B-007
05B-011
05B-012
05B-013
05B-045
05B-053
05B-054
05B-055
                 Leaching
                      (cont.)
                          76:05G-006
                       '   76:05G-007
                          76:05G-009
                          76:050-021
                          76:05G-025
                          76:070-004
                 Lead
                 Leakage
                          76:02G-048
                          76:021-001
         76:02F-006
         76:02F-007
         76:02F-009
         76:02F-016
         76:02F-022
         76:070-001

Least Squares Method
         76.-02F-017

Leaves
         76:020-001
         76:021-001
         76:03F-075
         76:03F-094
         76:07B-018

Legal Aspects
         76:03F-028
         76:05B-036
         76:05G-016
         76:06E-001
         76:06F-001

Legislation
         76:05G-005
         76:05G-015
         76:05G-016
         76:05G-020
         76:06E-001
Legumes
         76.-03F-073
         76:03F-096
         76:03F-105
Leontief Models
         76:060-001
Lettuce
Levees
Lime
         76:03F-092
         76:06A-005
         76:02G-048
         76:02K-004
         76.-02K-008
         76:03F-006
         76:05B-045
         76:05G-001
 Limestones
          76:048-008
          76:056-003

 Linear  Programming
          76:02B-002
          76:02B-004
          76:02E-003
          76:03F-019
          76:03F-029
          76:04A-004
          76:048-001
          76:050-004
          76:05G-010
          76:06A-003
          76:06A-006
          76:068-004
          76:060-001
                                                           Linings
                                              Loam
Loess
                                                       76:03B-001
                                                       76:03F-044
                                                       76:020-002
                                                       76:020-005
                                                       76:02G-016
                                                       76:020-071
                                                       76:020-078
                                                       76:020-079
         76:020-079
         76:058-003
Louisiana
         76:02G-021
         76:05B-001
LOW Flow
         76:058-009
Lumbering
         76:040-001
         76:040-003

Lysimeters
         76:020-002
         76:020-005
         76:020-007
         76:020-008
         76:02G-003
         76:02K-021
         76:03F-011
         76:03F-039
         76:03F-047
         76:03F-070
         76:03F-140
         76:03F-142
         76:05A-014
         76:05B-004
         76:05B-05S
         76:05G-006
         76:078-012
Magnesium
                                      76:020-126
                                      76:02K-004
                                             287

-------
Magnesium
    (cont.)
         76:030011
         76:03F-046
         76:058-054
         76:070-004
         76:08G-003

Maintenance
         76:05G-017
Maize
         76:020-110
Management
         76:030-001
         76:03F-028
         76:03F-030
         76:03F-059
         76:04A-004
         76:046-001
         76:05G-008
         76:050-016
         76:06A-001
         76:06A-007
Manganese
Mapping
Maps
         76:020-043
         76:020-111
         76:02K-078
         76:03F-013
         76:03F-061
         76:03F-062
         76:03F-067
         76:03F-069
         76:03F-086
         76:05B-043
         76:058-055
         76:02F-027
         76:02F-028
         76:078-028
         76:02G-009
         76:078-028
Marginal Costs
         76:05G-008

Markov Processes
         76:020-010
         76:020-070
         76:02G-088
         76:05A-005
         76:06A-004
Marshes
         76:03F-045
Mass Flow
         76:02G-117

Mass Transfer
         76.-02D-003
         76:020-013
         76:02F-008
         76:02G-035
Mass Transfer
    (cont.)
         76:058-023
         76:058-026

Mathematical Analysis
         76:04B-001

Mathematical Models
         76:02A-003
         76:02A-005
         76:02A-006
         76:02A-008
         76:028-004
         76:028-006
         76:02D-004
         76:020-012
         76:020-013
         76:02E-005
         76:02E-008
         76.-02E-009
         76:02F-002
         76:02F-007
         76:02F-017
         76:02F-022
         76:02F-023
         76:02F-025
         76:02F-026
         76:02F-028
         76:02G-003
         76:020-007
         76:026-008
         76:020-011
         76:02G-012
         76:020-029
         76:020-071
         76:020-072
         76:02G-085
         76:020-090
         76:02G-091
         76:020-092
         76:020-093
         76:020-096
         76:020-097
         76:020-098
         76:026-099
         76:02G-102
         76:02G-114
         76:038-002
         76:03F-Q01
         76:03F-016
         76:03F-019
         76:03F-029
         76:03F-059
         76:04A-002
         76:04A-003
         76:04A-004
         76:04A-008
         76:048-003
         76:040-003
         76:058-023
         76:058-024
         76:058-025
         76:058-027
         76:058-028
         76:058-029
         76:058-032
         76:058-034
         76:058-034
Mathematical Models
     (cont.)
          76:056-037
          76:058-042
          76:050-003
          76 :05G-008
          76:05G-010
          76:05G-011
          76:050-012
          76:05G-018
          76:06A-002
          76:06A-003
          76:06A-004
          76:06A-005
          76:06A-006
          76:06A-007
          76:060-001
          76:078-020
          76:08A-005

Mathematical Studies
          76:028-001
          76:028-002
          76:020-003
          76:020-011
          76:02E-006
          76:02F-002
          76:02F-007
          76:02F-008
          76:02F-013
          76:02F-016
          76:02F-018
          76:02F-020
          76:020-089
          76:02G-090
          76:020-091
          76:020-094
          76:020-099
          76:020-100
          76:020-101
          76:020-121
          76:02J-010
          76:02J-017
          76:058-026
          76:058-029
          76:058-033
          76:06A-008
          76:080-001

Mathematics
          76:028-001
          76;02E-008
          76:02F-008
          76:020-098

Measurement
          76:020-007
          76:02F-005
          76:020-004
          76:020-009
          76:048-011
          76:05G-003
          76:050-017
          76;06A-003
          76:078-044
          76:088-001
          76:080-001
                                             288

-------
Membrane Processes
         76:056-038
Membranes
Mercury
Metals
         76:02G-001
         76:038-001
         76:02G-027
         76:02G-042
         76:02K-015
Meteorology
         76:02A-002
         76:026-006

Methodology
         76:02A-001
         76:02A-002
         76:02B-004
         76:02F-004
         76:02F-015
         76:02G-050
         76:02G-074
         76:02J-012
         76:03F-059
         76:04A-005
         76:046-001
         76:040-005
         76:056-030
         76:05G-014
         76:06A-004
         76:06A-005
         76:06A-007
         76:078-006
         76:088-003
Mexico
          76:030-012
 Michigan
          76:05A-006

 Microbial Degradation
          76:02G-022
          76:026-053

 Microbial Formation
          76:02G-068

 Microclimates
          76:020-007

 Microenvironment
          76:026-071

 Micrometeorology
          76:020-007
          76:03F-140

 Microorganisms
          76:026-106
Mine Wastes
         76:056-001

Mineralization
         76:02K-013

Mineralogy
         76:02J-006
         76:05A-002
                             Mining
         76:056-015
         76:05G-018
Minnesota
         76.-03F-130

Mississippi
         76:02E-001
         76:02J-002
         76:05G-021

Mississippi River
         76:02A-006
Mixing
         76:02E-004
         76:02F-021
         76:058-031
         76:088-005
 Millet
          76:020-007
Modeling
         76:02E-010

Model Studies
         76:02A-002
         76:02A-003
         76:02A-004
         76:02A-005
         76:02A-006
         76:02A-007
         76:02A-008
         76:026-003
         76:028-005
         76:026-006
         76:028-007
         76:020-002
         76:020-004
         76:020-007
         76:020-008
         76:020-009
         76:020-012
         76:020-013
         76:02E-005
         76:02E-006
         76:02E-008
         76:02E-009
         76:02E-010
         76:02E-012
         76:02E-013
         76:02E-015
         76:02F-004
         76:02F-006
         76:02F-010
         76:02F-014
         76:02F-015
          76:02F-017
Model Studies
    (cont.)
         76:02F-022
         76:02F-023
         76:02F-026
         76:02F-028
         76:02F-029
         76:02G-003
         76:026-007
         76:02G-008
         76:02G-011
         76:026-012
         76:026-016
         76:026-019
         76:026-024
         76:026-025
         76:026-028
         76:02G-032
         76:02G-037
         76:026-041
         76:026-065
         76:026-072
         76:026-073
         76:026-077
         76:026-085
         76:02G-086
         76:026-089
         76:026-090
         76:026-096
         76:026-099
         76:02G-102
         76:026-113
         76:026-114
         76:026-117
         76:026-127
         76:02H-001
         76:02J-008
         76:02J-016
         76:02J-017
         76:02L-001
         76:038-002
         76:03F-012
         76:03F-016
         76:03F-018
         76:03F-040
         76:03F-060
         76:03F-063
         76:03F-065
         76:03F-068
         76:03F-070
         76:03F-080
         76:03F-097
         76:03F-102
         76:03F-108
         76:03F-133
         76:03F-135
         76:03F-141
         76:04A-003
         76:04A-011
         76:048-009
         76:040-003
         76:040-008
         76:05A-005
         76:05A-008
         76:05A-012
         76:058-014
         76:058-022
                                             289

-------
Model Studies
     (cont.)
         76:058-024
         76:05B-025
         76:05B-029
         76:058-033
         76:058-040
         76:058-050
         76:058-052
         76:058-056
         76:058-057
         76:058-058
         76:050-002
         76.-05D-002
         76:05G-004
         76:05G-034
         76:06A-007
         76:068-002
         76:060-001
         76:060-002
         76:078-013
         76:078-017
         76:078-020
         76:078-025
         76:088-002
         76:088-005
Models
         76:020-011
Moisture Content
         76:02G-019
         76:020-074
         76:02G-080
         76:02G-083
         76:02G-086
         76:02G-090
         76:02G-093'
         76.-02G-095
         76:02G-097
         76:02G-099
         76:02G-100
         76:02G-101
         76:02G-102
         76:02K-020
         76':03F-001
         76:03F-018

Moisture Meters
         76:02G-013

Moisture Stress
         76:021-003
         76:03F-025
         76:03F-026
         76:03F-049
         76:03F-055
         76:078-014

Moisture Tension
         76:02G-028
         76:07B-012

Moisture Uptake
         76:03F-025

Momentum Equation
         76:02F-008
Momentum Equation
     (cont.)
         76:02F-021

Monitoring
         76:02G-004
         76:02K-020
         76:03F-019
         76:03F-063
         76:05A-006
         76:058-039
         76:058-041
         76:05G-016
         76:05G-017
Montana
         76:06A-006
Monte Carlo Method
         76:02G-052
         76:05A-005
         76:058-032
         76:06A-005
Monthly
         76:02E-005
Montmorillonite
         76:02G-001
         76:02G-006
         76:02G-112
         76:02K-009
         76:02K-010
Mountains
Nematodes
         76:03F-050

Network Design
         76:046-011

Networks
         76:028-001
         76:028-004
         76:028-005
         76:04B-003
         76:05A-006

Neutron Absorption
         76:03F-139
                             Nevada
         76:02F-024
         76:02K-020
New Jersey
         76:058-013

New Mexico
         76:05A-014
         76:058-038
         76:058-058
         76:06A-008
                                                          New York
         76:078-017

Mulching
         76:02G-007
         76:02G-008
         76:02G-078
         76:03F-004
         76:03F-036
         76:03F-041
         76:03F-104

Multiple Purpose Projects
         76:04A-004

Multiple-Purpose Reservoirs
         76:048-003

Natural Resources
         76:05G-015

Natural Streams
         76:05A-002

Nebraska
         76:02G-023
         76:03F-088
         76:058-003
         76:078-021
         76:078-024

Nematicides
         76:03F-050
Nickel
         76:058-009
         76:058-011
         76:058-040
         76:05G-008
         76:058-008
         76:078-001
Nitrates
         76:
         76;
         76 i
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76;
         76:
         76:
         76:
         76
         76:
02F-003
02G-021
02G-046
02G-047
02G-055
02G-057
02G-066
02G-086
02G-117
021-009
02K-003
03F-084
058-001
058-002
058-003
058-004
058-005
058-013
058-037
058-046
058-047
05D-001
05G-003
05G-005
05G-006
05G-014
07B-006
078-015
                                             290

-------
Nitrification
         76:02G-020
         76:02G-046
         76:02G-056
         76:020-066
         76:02K-016
         76:03F-057
         76:03F-085
         76:05G-021
                 Nitrogen
                      (cont. }
Nitrites
         76:02G-061
         76:02G-066
         76:02K-116
         76:02K-H7
         76:03F-001
         76:03F-027
         76:03F-082
         76:053-013
         76:05B-032
         76:056-047
         76:05G-007
Nitrogen
          76:
          76
          76;
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76
          76:
          76
          76,
          76:
          76;
          76;
          76;
          76;
          76;
          76;
          76:
          76:
          76;
          76;
          76.
02D-
02E-
02E-
020-
02G-
02G-
02G-
02G-
02G-
02G-
02G-
02G-
02G-
020-
021-
021-
021-
02J-
02K-
02K-
02K-
03C-
03C-
03D-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
•010
•001
•014
•023
•043
•045
•046
•047
•056
•057
•064
•086
•106
•117
•004
•006
•008
•002
•003
•016
•021
•007
•010
•001
•006
•008
•009
•012
•015
•023
•024
•032
•035
•041
•042
•049
053
056
058
064
065
069
072
073
074
076
                           76:03F-077
                           76:03F-080
                           76:03F-083
                           76:03F-085
                           76;03F-087
                           76.-Q3F-088
          76:Q3F-Q90
          76:03F-Q93
          76;03F-094
          76;Q3F-105
          76:Q3FT-110
          76.-Q3F-112
          76;03F-116
          76:Q3F-126
          76:056-001
          76:058-002
          76:058-003
          76:053-005
          76:053-007
          76:053-010
          76:053-013
          76:053-018
          76:053-019
          76:053-021
          76:053-037
          76:053-040
          76:053-050
          76:053-056
          76:056-007
          76:05G-021
          76:073-002
          76:073-006
          76:073-007

Nitrogen Compounds
          76:053-001
          76:058-002
          76:053-004
          76:050-007

Nitrogen  Crop Response
          76:03F-057

Nitrogen  Cycle
          76:053-053

North Carolina
          76:02K-012
          76:063-003
          76:063-004

North Dakota
          76:03F-084
          76:05G-003

Nuclear Explosions
          76:053-015

Nuclear Energy
          76:050-018

Nuclear Meters
          76:02K-020

Nuclear Moisture Meters
          76:02G-004
Nuclear Wastes
         76:053-015

Numerical Analysis
         76.-02A-005
         76:020-003
         76:02F-005
         76:02F-013
         76:02F-014
         76:02F-026
         76:02G-011
         76:020-018
         76:02G-025
         76:02G-073
         76:020-074
         76:02G-092
         76:020-100
         76:043-007
         76:043-008
         76:046-009
         76:053-026
         76:053-031

Nutrient Removal
         76:053-001
         76:053-002
         76:053-004
         76:05G-007

Nutrient Requirements
         76:020-086
         76:03F-023
         76:03F-027
Nutrients
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76;
         76;
         76
         76
         76
02D
02E
02E
02E
020
02G
020-
020-
020-
021'
021-
021-
021-
02J-
02J-
;03C-
:03C-
;03D-
:03F-
:03F-
:03F-
:03F-
:03F-
:03F-
:03F-
:03F-
:03F-
:03F'
:03F-
:03F'
:03F
:03F
:03F
:03F
:03F
001
001
010
014
045
058
064
107
117
002
004
006
009
002
009
004
007
001
005
006
•008
•009
•012
•013
•031
•032
•033
•035
•041
-042
-046
-049
-053
-056
-057
                                             291

-------
Nutrients
    (cont.)
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76
         76:
         76;
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76;
         76:
         76:
         76:

Oats
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
05B-
05B-
05B-
05B-
05B-
:05B-
05B-
:05B-
:05B-
05B-
:05B-
:05B-
05B-
05B-
05G-
05G-
05G-
06A-
07B-
07B-
07B-
060
061
062
064
069
072
074
076
077
080
081
083
•085
086
•110
•112
113
115
116
•120
•126
•002
•004
•007
•010
•013
•021
•034
•040
•048
•050
•052
•053
•055
•056
•005
•007
•021
009
•007
010
•020
Oil Shale
         76:06E-002

Oil Wastes
         76:05B-036
         76:02G-111
         76:021-004
         76:05G-007

Observation Wells
         76:02J-012
         76:048-008
         76:04B-011
         76:05A-006

Ohio
         76:02J-006
         76:03F-007
         76:05B-019

Ohio River
         76:02A-006

OiJ Fields
         76:058-039

Oil Industry
         76:056-036
Oil Wells
         76:058-036
Oklahoma
         76:02F-028
         76:05B-036

On-Site Data Collections
         76:028-002
         76:020-004
         76:02F-011
         76:02K-012
         76:03F-016

On-Site Investigations
         76:028-002
         76:020-010
         76:020-011
         76:02F-028
         76:02G-005
         76:02G-007
         76:02G-008
         76:02G-009
         76:02G-084
         76:02G-096
         76:058-001
         76:05B-037
         76:05G-003
         76:05G-009

On-Site Tests
         76:02G-018
         76:04A-002
         76:088-001
         76:078-003
Onions
                           76:030-009
                           76:03F-092
                 Open Channel Flow
                           76:02J-013

                 Open Channels
                           76:02J-013
                           76:08B-008

                 Operating Costs
                           76:04B-005

                 Operations
                           76:03F-003
                           76:03F-028
                           76:05G-017
                           76:05G-020

                 Operations Research
                           76:03F-019
                           76-.03F-030
                           76:04A-004
                           76:04A-006
                           76:06A-001
Optimization

























Optimum
Plans


Oranges

Orchards








Oregon




76.-02A-005
76:028-004
76:02E-015
76:03F-019
76:03F-028
76:03F-030
76:03F-059
76:03F-108
76:03F-135
76:04A-004
76:04A-006
76:04A-011
76:04B-001
76:058-029
76:058-042
76:05G-008
76:05G-018
76:056-024
76:06A-002
76:06A-003
76:06A-005
76.-06A-006
76.-06A-007
76:060-002
76:088-003
Development

76:04A-003
76:05G-012

76:03C-004

76:03C-004
76:03C-012
76:03F-034
76:03F-129
76:03F-132
76:03F-136
76:03F-142
76:078-030

76:028-002
76:03F-034
76:03F-086
76:06C-001
                                           Organic Comoounds
                                                    76^:058-043
                                                    76:050-001

                                           Organic Matter
                                                    76:02G-054
                                                    76:02G-078
                                                    76:02G-105
                                                    76:02G-111
                                                    76:021-002
                                                    76:02J-014
                                                    76:02K-006
                                                    76:02K-013
                                                    76:02K-015
                                                    76:03F-054
                                                    76:03F-093
                                                    76;05B-020
                                                    76:05B-029
                                             292

-------
Organic Matter
     (cent.)
         76:058-046
     '    76:050-007

Orifices
         76:086-001
         76:08G-001

Osmotic Pressure
         76:021-003

Overland Plow
         76:02A-008
         76:02E-006
         76:02E-009
         76:02G-041
         76:04A-008

Oxidation-Reduction  Potential
         76:05A-007
Peat
         76:02G-054
Oxygen
         76:02G-046
Oxygen Isotopes
         76:02E-004

Pacific Ocean
         76:02B-002

Parametric Hydrology
         76:02A-005
         76:02A-007
         76:02E-006

Particle Size
         76:02F-028
         76:02G-107
         76:02J-008
         76:02J-014

Pastures
         76:03F-093

Path of Pollutants
         76:02G-086
         76:05A-007
         76:05B-004
         76:05B-012
         76:058-023
         76:058-024
         76:058-025
         76:058-027
         76:058-028
         76:058-035
         76:058-039
         76:058-041
         76:058-042
         76:05G-014
         76:05G-021
Peaches
Peanuts
Penalties  (Legal)
         76:05G-016

Pennsylvania
         76:02G-013
         76:058-022

Percolating Water
         76:02G-002

Percolation
         76:02F-025
         76:02G-002
         76:02G-005
         76:02G-010
         76:02G-102
         76:058-002
         76:058-004
         76:058-053

Performance
         76:02A-005

Permeability
         76:02F-007
         76:02F-016
         76:02F-019
         76:02F-022
         76:02G-006
         76:02G-017
         76:02G-080
         76:02G-082
         76:02G-087
         76:02G-096
         76:02G-100
         76:048-002
         76:048-008
         76:05F-001

Permeameters
         76:02F-028
Permits
         76:05G-016
         76:06E-002
         76:03F-129
         76:03F-142
          76:03F-087
Persistence
         76:02E-005
         76:02G-022

Pervious Soils
         76:02G-102

Pesticide Residues
         76:02G-053

Pesticides
         76:02G-022
         76:02G-044
         76:02G-053
         76:058-014
         76:058-048
         76:058-050
         76:058-052
         76:06A-009
Phosphates
          76:02G-063
          76:02J-009
          76:02K-002
          76.-02K-008
          76-.03F-001
          76:03F-027
          76:058-001
          76:058-008
          76:058-013
          76:053-045
Phosphorus
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
02E-
02E-
02G-
02G-
02G-
02H-
021-
021-
021-
021-
02J-
02J-
02K-
02K-
02K-
02K-
03C-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
03F-
05A-
058-
058-
058-
058-
058-
05B-
078-
07B-
-001
-014
•048
•058
•060
•001
•001
•002
•004
•009
•002
009
•005
006
•007
013
010
005
012
013
042
046
067
069
073
076
081
093
120
001
009
021
034
040
045
050
006
012
Phosphorus Compounds
         76:058-001

Photosynthesis
         76:02E-010
         76:03F-075
         76:078-021

Phreatic Lines
         76:02G-017

Phreatophytes
         76:03B-003
         76:038-004
                                              293

-------
Physical Properties
         76:02A-001
         76:02G-003
         76:02G-006
         76:020-093
         76:076-003

Piezometers
         76:058-036

Pine Trees
         76:040001
         76:05G-021
Pipe Flow
         76:088-001
         76:088-007
Pipelines
Pipes
         76:03F-108
         76:088-007
         76:08G-001
Piping Systems
         76:03F-108

Pit Recharge
         76:02F-025

Planning
         76:03F-019
         76:03F-028
         76:04A-004
         76:05A-006
         76:05G-015
         76:06A-004
         76:06A-006
         76:06A-008
         76:06A-011
         76:060-001
         76:06E-002

Plant Growth
         76:021-004
         76:03F-014
         76:03F-023

Planting Management
         76:021-003
         76:03F-023
         76:03F-024

Plant Physiology
         76:026-075

Plant Populations
         76:03F-036
         76:03F-058

Plant Tissues
         76:02G-075
         76:02G-092
         76:03F-027

Plastic Pipes
         76:05G-009
Plastics
         76:038-001
         76:05A-003

Political Aspects
         76:05G-020
         76:06A-001

Pollutant Identification
         76:02G-050
         76:05A-003
         76:05A-004
         76:058-027
         76:058-051
         76:05G-021
         76:078-006

Pollutants
         76:02K-020
         76:05A-005
         76:05A-006
         76:05A-007
         76:058-007
         76:058-010
         76:058-017
         76:058-025
         76:058-029
         76:058-033
         76:058-036
         76:058-037
         76:058-039
         76:058-051
         76:06A-009

Pollution
         76:058-018
         76:058-039

Pollution Abatement
         76:058-051
         76:056-001
         76:056-008
         76:06A-001
         76:06E-001

Ponding
         76:026-014
         76:02G-082
         76:026-096

Ponderosa Pinetrees
         76:04C-001
Ponds
         76:020-011
         76:05A-003
Pore Pressure
         76:026-082
         76:026-089
         76:026-090
         76:026-097
         76:02J-014
Pores
         76:02F-025
         76:026-024
         76:02G-038
Pores
     (cont.}
         76:026-071
         76:026-081

Pore Water
         76:02F-008
         76:026-024
         76:026-071
         76:026-084
         76:026-093
         76:026-097
         76:02J-003

Porosity
         76:02F-005
         76:02F-027
         76:02G-002
         76:026-018
         76:026-030
         76:026-038
         76:02G-081
         76:026-082
         76:026-090
         76:04A-002

Porous Media
         76:02F-001
         76:02F-008
         76:02F-013
         76:02F-018
         76:02F-020
         76:02F-021
         76:026-006
         76:026-029
         76:02G-035
         76:026-072
         76:02G-073
         76:02G-083
         76:026-090
         76:026-097
         76:02G-102
         76:058-023

Portable Water
         76:08G-003
Potash
         76:058-001
Potassium
         76:026-023
         76:026-031
         76:026-062
         76:026-107
         76:021-009
         76:02K-001
         76:03F-009
         76:03F-012
         76:03F-031
         76:03F-042
         76:03F-069
         76:03F-073
         76:058-054
         76:078-012
         76:078-020

Potassium Compounds
         76:058-001
                                             294

-------
Potatoes
         76:03F-049
         76:03F-055
         76:03F-065
         76-.03F-070
         76:03F-086
         76:03F-090
         76:03F-095

Potential Flow
         76:020-005
         76:02F-013
         76:02F-025
         76:02G-092

Potential Water  Supply
         76:03F-Q63

Potentiometric Level
         76:02F-009
         76:02F-Q19
         76:02F-028
         76:05B-036

Prairie Soils
         76:02D-010

Precipitation
         76:02B-004
         76:02B-007
         76:02B-OQ8
         76:02E-001
         76:02F-003
         76:02J-004
         76:02K-001

Precipitation  (Atmospheric)
         76:02A-Q03
         76:02B-Q01
         76:02B-002
         76:028-003
         76:02E-003
         76:02E-004
         76:02G-012
         76:020-014
         76:02G-078
         76:02K-012
         76:036-002
         76:Q5B-039

Preservation
         76:078-006

Pressure
         76:02G-001

Pressure Head
         76:02F-012
         76:02G-018
         76:02G-019
         76:026-073
         76:02G-074
         76:02G-083
         76:02G-089
         76:03F-018
                    Probability
                             76:05B-032
                             76:06A-003
                             76:06A-004
                             Raindrops
                                      76:02J-003
                    Profiles
                    Profit
                             76:02G-011
                             76:03F-029
                    Project Feasibility
                             76:06A-010

                    Project Planning
                             76:06A-010
                    Projects
                             76:06A-005
                             76:06A-007
                             76:06A-010
                    Proteins
                             76:021-001
                    Pumping
Prices
Pricing
76:05G-012

76:03F-029
76:060-001
76:060-002
         76:02F-007
         76:02F-018
         76:02F-022
         76:02J-012
         76.-02L-001
         76:04A-006
         76.-04B-001
         76:048-002
         76.-04B-007
         76:046-008
         76:048-009
         76:05G-009
         76:05G-014

Pumping Plants
         76:048-009

Pump Testing
         76:02F-028
         76:070-001

Queueing Theory
         76:03F-019

Radiation
         76:028-006
         76:02D-011
         76:02G-004
         76:05B-002
         76:058-031
         76:076-014

Radioactivitv
         76:020-004

Rain
         76:02E-012
         76:02K-012
         76:03F-039

Rain Water
         76:02F-003
                                                 Rainfall
76
76
76:
76:
76:
76:
76:
76:
76:
76:
76:
76:
76:
76:
76:
76:
76:
76:
76:
76:
76:
76:
76:
76:
76:
76:
:02A
:02A
;02A
:02A
:02B'
:02B-
 02B-
 02B-
 028'
 028-
 02B-
 02E-
 02E-
 02G-
 02G-
 02J-
 02J-
 02J-
 02J-
 02K-
 03B-
 030-
 03F-
 03F-
 03F-
 05B-
•002
•003
•006
•008
•001
•002
•003
•004
•005
•007
008
012
013
002
014
001
003
004
005
012
002
019
029
039
063
039
                                                 Rainfall Disposition
                                                          76:028-007

                                                 Rainfall Intensity
                                                          76:026-003
                                                          76:02E-012

                                                 Rainfall Simulators
                                                          76:028-007
                                                          76:02F-012
                                                          76:02J-005

                                                 Rainfall-Runoff
                                                 Relationships
                                                          76:02A-006
                                                          76:02A-007
                                                          76:02A-008
                                                          76:028-005
                                                          76:02E-006
                                                          76:02E-012
                                                          76:020-014
                                                          76:02J-005
                                                 Range Grasses
                                                          76:020-004
                                                          76:03F-016
                                                 Rangelands
                                                          76:03F-091
                                                          Ranges
                                                          76:020-004
                                                          76:03F-016
                                             295

-------
Reaeration
         76:058-029

Recharge
         76:02F-014
         76:02F-020
         76:02L-001
         76:03F-063
         76:048-011
         76:058-025

Reclamation
         76:050-009

Recreation
         76:04A-005
         76:06A-008

Reduction  (Chemical)
         76:05A-007
         76:058-038

Reforestation
         76:040-003

Regional Analysis
         76:06A-002
 Regions
          76:05A-002
 Regression  Analysis
          76:02A-002
          76:02E-008
          76:02J-008
          76:02J-010
          76:048-006

 Regulation
          76:05G-008
          76:050-016
          76:05G-017

 Reinforcement
          76:038-001

 Reliability
          76:06A-006

 Remote Sensing
          76:020-006
          76:03F-003
          76:078-013

 Reynolds  Number
          76:04A-001

 Repellents
          76:040-001

 Research
          76:05G-010

 Reservoir Design
          76:02E-013

 Reservoir Operation
          76:04A-006
          76:048-003
Reservoir Releases
         76:06A-006

Reservoir Storage
         76:04A-008
         76:048-003
         76:06A-006

Reservoirs
         76:02J-002
         76:02J-010
         76:03F-029
         76:04A-004
         76:04A-005
         76:040-005
         76:06A-004

Resistance Networks
         76:02F-021
         76:02F-019
         76:048-007

Resistivity
         76:02F-027
         76:05B-041
         76:078-003

Respiration
         76:021-001
Return Flow
         76:
         76;
         76;
         76;
         76;
         76;
         76;
         76
         76;
         76;
         76;
         76:
         76:
         76:
         76:
         76;
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
02E-011
02E-014
02F-031
02G-128
03C-012
03F-043
03F-045
03F-138
05A-014
05A-016
058-043
058-047
05B-048
058-049
05B-050
058-052
058-053
058-054
058-056
058-057
05G-002
05G-006
05G-022
058-027
06A-011
06E-001
078-022
07B-024
Reynolds Number
         76:02F-001

Rhode Island
         76:058-041
Rice
         76:02G-045
         76:02G-119
     (cont.)
         76:03F-028
         76:03F-046
         76:03F-067
         76:03F-077

Rill Erosion
         76-.03F-011

Rio Grande River
         76:05G-006
         76:05G-009

Risks
         76:02A-007
         76:03F-019
         76:058-028
         76:06A-003
         76:06A-005
         76:088-003

River Basin Development
         76:06A-007
         76-.06F-001

River Basins
         76:048-003
         76:040-006
         76:05A-010
         76:06A-004

River Flow
         76:078-022

River Systems
       " 76:026-124
         76:030-013
         76:040-006
         76:05A-042
         76.-05B-042

Rivers
         76:02E-005
         76:02E-008
         76:05A-002
         76:058-031
         76:058-033
         76:058-043
         76:07B-022

Rock Properties
         76:02F-018

Rocks
         76:02F-010
         76:026-007
         76:026-008

Root Development
         76:026-118
         76:02G-119
         76:021-004
         76:03F-031
         76:03F-049
         76t03F-080
         76:03F-097
         76:058-044
         76:058-046
                                             296

-------
Root Distribution
         76:03F-098

Root Systems
         76;02G-086
         76:02G-092
         76:02G-110
         76:020-114
         76;03F-023
         76:03F-047
         7S:05B-044
Root Zone
 Roots
          76:020-001
          76:02G-023
          76;02G-028
          76:02G-092
          76;02G-096
          76:02G-114
          76:02G-128
          76:030-001
          76:03F-025
          76:03F-027
          76:05A-003
          76:058-004
          76:056-016
          76:05B-044
          76:05G-009
          76:021-008
 Roughness  (Hydraulic)
          76:04A-001
          76:04A-003

 Roughness  Coefficient
          76:04A-001
 Runoff
          76:02A-003
          76:02A-006
          76:02A-008
          76:02B-005
          76:020-001
          76:02E-001
          76:02E-002
          76:02E-004
          76:02E-005
          76:02E-006
          76:02E-011
          76:02G-013
          76:02G-014
          76:02J-001
          76:02J-010
          76:02G-011
          76:03B-002
          76:030-012
          76:04A-009
          76:04D-003
          76:05B-001
          76:05B-002
          76:05B-004
          76-.05B-018
          76:05B-035
          76:05B-047
          76:058-050
          76:05B-052
          76:05G-002
Runoff
    (cont,)
         76:05G-007
         76:05G--015
         76:06B~002
         76:078-024

Runoff Forecasting
         76:02B-005
         76:02E-003
                              Rye Grass
                                       76:03F-096
Safety
         76:02G-004
Sagebrush
         76:05B-008

Saline Soils
         76:02F-034
         76:02G-009
         76:02G-012
         76:02G-015
         76:02G-124
         76:02G-127
         76:030-002
         76:030-005
         76:030-007
         76:030-010
         76:030-012
         76:030-014
         76-.03C-017
         76:03F-072
         76:03F-091
         76:04A-009
         76:05A-013
         76:058-044
         76:05B-048
         76:05B-059
         76:050-002
         76:05G-022
         76:05G-025
         76:05G-026
         76:05G-027
         76:078-003
         76:078-023
         76:076-026
         76:078-028
         76:07B-029
         76:070-004

Saline Water
         76:02G-126
         76:026-128
         76:021-010
         76:02L-001
         76:030-001
         76:030-002
         76:030-004
         76:030-009
         76:030-011
         76:030-012
         76:030-013
         76:030-015
         76:030-016
         76:030-017
         76:030-018
Saline Water
    (cont.)
         76:030-019
         76:05A-010
         76:05A-012
         76:05A-013
         76:056-048
         76:050-001
         76:050-002
         76:050-003
         76:05G-026
         76:05G-027
         76:078-003
         76:07B-030
         76:070-003

Saline Water-Freshwater
Interfaces
         76:02F-009
         76-.02F-023

Saline Water Intrusion
         76:02F-023
         76:02L-001

Saline Water Systems
         76:02L-001
         76:050-002
Salinity
         76:02E-015
         76:02F-027
         76;02F-031
         76:02F-034
         76:020-009
         76:02G-012
         76:02G-015
         76-.02G-124
         76:020-127
         76:02G-128
         76:021-010
         76:02K-018
         76:03A-001
         76:030-001
         76:030-002
         76:030-004
         76:030-005
         76:030-007
         76:030-008
         76:030-009
         76:030-010
         76:030-011
         76:030-013
         76:030-014
         76:030-017
         76:030-018
         76:030-019
         76:03F-072
         76J03F-091
         76:04A-009
         76:04A-013
         76:040-006
         76:05A-008
         76i05A-010
         76s05A-012
         76:05A-013
         76:058-016
         76:058-044
         76:058-048
                                              297

-------
Salinity
    (cont.)
         76:058-056
         76:0^6-057
         76:058-058
         76:05C-002
         76:050-003
         76:05G-018
         76:05G-020
         76:05G-022
         76:05G-026
         76:05G-027
         76:07B-003
         76:07B-015
         76:07B-023
         76:07B-026
         76:07B-028
         76:076-029
         76:07B-030
         76-.07C-003
         76:07C-004

Salt Balance
         76:02G-124
         76:03C-001
         76:03C-018
         76:05B-016
         76:050-002
         76:05G-006
         76:078-029
          76:070-004

Salt Marshes
          76:021-005

Salt Tolerance
          76:030-005
          76:030-008
          76:03F-091

Salt Water  Intrusion
          76:05G-019
 Salts
          76:02E-015
          76:02G-001
          76:020-009
          76:02G-015
          76:02G-027
          76:02G-032
          76:02G-050
          76:020-084
          76:02G-124
          76:02G-127
          76:02K-009
          76-.02K-018
          76:030-011
          76:030-013
          76;03C-015
          76:030-016
          76:030-019
          76:04A-009
          76:05A-008
          76:058-016
          76:058-048
          76:058-055
          76:058-059
          76:050-002
          76:05G-020
Salts
(cont






Samplers

Sampling



























.)
76:05G-022
76:05G-027
76:078-003
76:07B-028
76:078-029
76:070-004

76:058-004

76:028-004
76:02E-001
76:02E-004
76:02G-057
76:02G-096
76:026-103
76:02J-006
76:02K-013
76:03F-035
76:05A-003
76:05A-004
76;05A-006
76:058-009
76:05B-015
76:058-019
76:058-028
76:058-039
76:058-049
76:05G-014
76:05G-021
76:078-004
76:078-006
76:078-015
76:078-018
76:078-027
76:078-029
Sand Aquifers
         76:02F-027
         76:048-007

Sands
         76:020-001
         76:02F-027
         76:02G-011
         76:020-071
         76:02J-003
         76-.03F--001
         76;03F-037
         76:05B-012

Sandstones
         76-.02F-027
         76:05B-037

Sandy Soil
         76:058-045

Satellites
         76:07B-013

Saturated Flow
         76:02F-005
         76:02G-108
         76-.05B-023
                             Saturated Soils
                                      76:02G-032

                             Saturation
                                      76:02G-071
                                      76:02G-082
                                      76:02G-090
                                      76:02G-109
                             Scaling
                                      76:080-003
                             Scheduling
                                      76:020-075
                                      76:03F-019
                                      76:03F-078
                                      76:03F-139
                                      76:03F-141
                                      76:03F-142
                             Seasonal
                                      76:02A-004
                                      76:02B-002
                                      76:02K-012
Sea Water
         76:02F-023

Sedimentation
         76:02E-013
         76:02H-001
         76:02J-002
         76:02J-009
         76:02J--013
         76:02J-016
         76:02J-017
         76:040-001
         76:05B-052
         76:05G-015
         76:05G-016
         76:068-002

Sedimentation Rates
         76:040-005

Sediment Control
         76:02E-011
         76:02J-013
         76i02JV017
         76:050-002

Sediment Discharge
         76;05B-002

Sediment Transport
         76:06A-009

Sediment Yield
         76i02J-008
         76:02J-010
         76;02J-011
         76:02J-013
         76:040-005
         76:05G-005
Sediments
         76:02E-011
         76:02E-013
         76-.02H-001
                                            298

-------
Sediments
    (cont.)
         76:02J-006
         76:02J-009
         76-.02J-013
         76:02J-014
         76:02J-016
         76:0!2ar-017
         76-.04A-005
         76:05B-008
         76:05B-009
         76:05B-048
         76:05B-052
         76:056-005
         76:05G-015
         76:06A-009
         76:07B-006
Shrinkage
Seeds
Seepage
          76:03F-092
          76:02A-003
          76:02F-001
          76:02F-028
          76:02F-031
          76:02G-017
          76:02G-028
          76:020-050
          76:02G-089
          76:02G-108
          76:02L-001
          76:03B-001
          76:03B-002
          76:04A-010
          76:05A-009
          76:05G-003
          76:05G-026

Seepage Control
          76:05G-003

Self-Purification
          76:05B-029

Selinium
          76':02G-068

Semiarid  Climates
          76:021-003
          76:03F-042

Septic Tanks
          76:050-001
Sewage
          76:05B-042
Sewage Treatement
          76:05D-001
Shales
          76:05E-003
          76:05B-008
Sheet Erosion
          76:02J-011
Shrubs
Silts
         76:02G-093
         76:021-003
         76:02G-071
         76:02G-079
         76:056-015

Simulated Rainfall
         76;02E-002
         76:026-014
         76:02J-001

Simulation
         76:05B-050

Simulation Analysis
         76:02A-007
         76:028^007
         76;02E-012
         76:02E-015
         76-.02F-004
         76:02F-015
         76:02G-025
         76:026>-028
         76:02G-127
         76:02J-016
         76:02J-017
         76:03F-012
         76;03F-019
         76:03F-030
         76:03F-060
         76,-03F-080
         76:03F-133
         76:03F-141
         76:04A-003
         76:04A-008
         76:04A-011
         76:05A-008
         76:05A-009
         76:05A-012
         76:05B-028
         76i05B-042
         76:05B-052
         76:05B-056
         76:05B-057
         76:05B-058
         76:05C-002
         76:056-004
         76:056-006
         76:056-012
         76:06A-004
         76:06A-005
         76:06A-006
         76:06A-007
         76:060-002
         76:07B-020
         76;07B-025
         76:088-005
Size
                                       76:05G-010
Size Sites
         76:03A-001
Small Watersheds
         76:02J-010
         76:04A-006
                             Snow
         76:02A-001
         76:02A-002
         76:02C-001
         76:02K-012
Snowmelt
         76:056-050
         76:05B-052

Social Needs
         76:06A-003

Social Values
         76:06A-008
         76:021-010
         76:021^018
         76)03Cr-014
                                                          Sodium
         76:05A-013
         76:05B-054
         76;07B-029
         76:07C-004
         76:08G-003

Sodium Chloride
         76:02F-027
         76s02G-001

Soil Aggregates
         76:02G-038

Soil Amendments
         76:02G-062

Soil Analysis
         76:03F^057
         76j05G-006

Soil Chemical Properties
         76:02G-031
         76-.02G-033
         76:02G-059
         76:02G-104
         76:02G-107
         76i02G-lll
         76:03C-001
         76:03C-015
         76:05B-003
         76s07BT-007

Soil Chemistry
         76:02G-031
         76:02G-033
         76:02G-035
         76:02G-059
         76:02G-061
         76:02G-065
         76:026-068
         76:02G-091
         76:02G-103
         76:02G-107
         76:026-112
                                              299

-------
Soil Chemistry
    (cont.)
          76.-02G-122
          76:020-126
          76:02K-001
          76:058-004
          76:078-001
Soil Classification
          76:02G-018

Soil Compaction
          76:03F-54

Soil Conservation
          76:02J-011
          76:040-005
          76:05B-002

Soil Contamination
          76:058-003

Soil Environment
          76:021-004

Soil Erosion
          76:02J-001
          76:02J-006
          76:02J-011
          76:02J-015
          76:03F-101
          76:03F-105
          76:040-005
          76:05B-002
          76:05B-05Q
          76:050-007

Soil Horizons
          76:020-018
          76:020-079
          76:020-096
          76:05B-015

Soil Investigations
          76:02G-021
          76:020-022
          76:020-023
          76:020-024
          76:020-025
          76:020-026
          76:020-030
          76:020-031
          76:020-033
          76:020-034
          76:020-036
          76:020-038
          76:020-039
          76:020-040
          76:020-042
          76:020-043
          76:020-045
          76:020-046
          76:020-047
          76:020-048
          76:020-051
          76:020-052
          76:020-053
          76:020-054
          76:020-055
          76:020-056
          76:020-057
Soil Investingations
    (cont.)
         76:020-059
        ' 76:020-061
         76:020-063
         76:020-065
         76:020-066
         76:020-067
         76:020-068
         76:020-079
         76:020-103
         76J02G-104
         76:020-105
         76s02G-106
         76:020-107
         76:020-111
         76:020-112
         76:020-118
         76:021-008
         76:02J-002
         76:02J-004
         76:02J-014
         76:02K-001
         76:02K-004
         76:02K-005
         76:02K-006
         76;02K-007
         76:02K-008
         76:02K-010
         76:02K-013
         76:02K-014
         76:02K-015
         76;02K-016
         76:02K-017
         76:02K-018
         76:02K-019
         76:03F-031
         76:03F-084
         76;03F-085
         76:03F-087
         76:03F-093
         76:03F-100
         76:056-015
         76:053-017
         76:058-020
         76:058-034
         76:05B-045
         76:078-001
         76:078-002
         76:078-004
         76:078-005
         76:078-007
         76:078-008
         76:078-010
         76:078-012
         76:078-015

Soil Management
         76:021-004
         76:03C-001
         76:03F-026

Soil Mechanics
         76:058-053

Soil Moisture
         76:02A-005
         76:02D-002
         76:02E-013
Soil Moisture
    Ccont.)
         76:02G-002
         76:02G-003
         76:020-004
         76:020-007
         76:020-008
         76:02G-010
         76:020-013
         76:02G-016
         76:020-018
         76:020-025
         76:02G-026
         76:020-034
         76:020-037
         76:020-038
         76:020-041
         76:020-042
         76:020-054
         76:020-067
         76:020-070
         76i02G-071
         76:020-075
         76:02g-079
         76;02G-080
         76i02G-083
         76:020-085
         76i02G-088
         76:020-093
         76:020^095
         76s02G-096
         76:02G-099
         76:02G-102
         76s02G-lQ8
         76:020-113
         76:020-114
         76i02G-123
         76:021-003
         76:02K-016
         76:03C-OQ4
         76«03C-009
         76s03F-003
         76:03F-011
         76;03F-032
         76:03F-040
         76i03F-049
         76:03F-054
         76:03F-063
         76:03F-065
         76s03F-067
         76)03F-069
         76i03F~076
         76;03F-078
         76:03F-079
         76j03F-084
         76i03F-085
         76:03F-088
         76t03F-095
         76i03F-097
         76:03F-100
         76:03F-110
         76:03F-121
         76i03F-139
         76:03F-142
         76:058-020
         76:058-044
         76i07B-012
         76:078-014
         76:078-016
                                             300

-------
Soil Moisture Meters
         76:02G-003
         76:02G-083

Soil Moisture Movement
         76:020-099
         76:03F-003

Soil Physical Properties
         76:020-001
         76:020-005
         76:020-081
         76:020-085
         76:020-102
         76:020-118
         76:020-119
         76:020-127
         76:030015
         76:03F-054
         76:07B-004

Soil Physics
         76:020-018
         76:020-019
         76:020-029
         76:020-072

Soil Profiles
         76:02E-002
         76:020-018
         76:020-047
         76:020-084
         76:03F-018
         76:03F-025
         76:03F-031
         76:058-015
         76:058-017
         76:07B-005

Soil Properties
         76:020-003
         76:020-005
         76:020-016
         76:020-025
         76:020-029
         76:020-030
         76:020-033
         76:020-034
         76:020-035
         76:020-036
         76:020-038
         76:020-039
         76:020-041
         76:020-054
         76:020-055
         76:020-057
         76:020-059
         76:020-061
         76:020-063
         76:020-065
         76:020-068
         76:020-072
         76:020-074
         76:020-078
         76:020-079
         76:020-080
         76:020-081
         76:020-082
         76:020-087
Soil Properties
    (cont.)
         76:020-089
  i       76:020-090
         76:020-103
         76:020-104
         76:020-105
         76:020-107
         76:020-108
         76:020-109
         76:020-111
         76:020-112
         76:020-118
         76:020-120
         76:020-122
         76:020-123
         76:020-124
         76:020-126
         76:02J-004
         76:02K-002
         76:02K-004
         76:02K-007
         76:02K-008
         76:02K-013
         76:02K-014
         76:02K-015
         76:02K-017
         76:02K-018
         76:02K-019
         76:03F-004
         76:03F-018
         76:03F-031
         76:03F-054
         76:03F-085
         76:050-025
         76:07B-001
         76:078-002
         76:07B-005
         76:07B-008

Soil Salinity
         76:05B-016
         76:05B-055
         76:078-003
         76:07B-023

Soil Science
         76:020-001
         76:020-003
         76:020-004
         76:020-005
         76:020-006
         76:020-007
         76:020-008
         76:020-009
         76:020-011
         76:020-012
         76:020-013
         76:020-015
         76:020-016
         76:020-078
         76:020-079
         76:020-093
         76:020-095
         76:020-096
         76:020-097
         76:020-099
         76:04D-001

Soil Stabilization
         76:040-001
Soil Sterilants
         76:020-061

Soil Strength
         76:020-081

Soil Surfaces
         76:020-005
         76:020-091

Soil Tolerance
         76:050-020

Soil Temperature
         76:020-040
         76:020-041
         76:020-042
         76:020-085
         76:021-004
         76i03F-041
         76:050-002
         76:050-004

Soil Tests
         76:02J-Q04
         76:07B-007
         76:078-008
         76:078-010

Soil Texture
         76:020-042
         76:020-047
         76:020-081
         76:020-105
         76:020-107
         76:03F-076
         76:05B-010

Soil Treatment
         76:020-010
         76:040-001
         76:050-006

Soil Types
         76i020-001
         76:020-012
         76:020-013
         76:020-014
         76:020-090
         76i02J-001
         76:02J-008
         76:02J-011
         76:03F-001
         76:03F-076

Soil Water
         76j02A-003
         76:020-001
         76)020-004
         76:020-001
         76:020-002
         76:020-003
         76:020-009
         76:020-011
         76:020-012
         76:020-016
         76:020-022
         76:020-024
         76:020-025
                                             301

-------
Soil Water
    (cont.)
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
:02G-026
:02G-028
:02G-032
:02G-034
:02G-Q49
:02G-052
:02G-055
:02G-064
:02G-067
:02G-073
:02G-074
:02G-075
:02G-078
:02G-080
:02G-083
:02G-084
:026-093
:02G-094
:02G-095
:02G-096
:02G-097
:02G-098
:02G-099
:02G-102
:02G-1Q3
:02G-108
:026-110
:02G-113
:02G-114
:02G-123
:02G-124
:02G-127
:02K-Q20
:03B-002
:03F-004,
:03F-010
:03F-016
:03F-025
:03F-033
:03F-040
:03F-044
:03F-049
:03F-055
:03F-059
:03F-065
:03F-067
:03F-069
:03F-076
:03F-079
:03F-084
:03F-095
:03F-097
:03F-098
:03F-100
:03F-110
:03F-121
:03F-139
:03F-140
:05A-010
:05A-013
:05B-023
:05B-044
:07B-012
:07B-014
:07B-016
Soil Water Movement
         76:020-002
         76.-02G-001
Soil Water Movement
     (cont.)
         76:02G-002
         76:02G-005
         76:020-006
         76:02G-008
         76:026-010
         76:026-016
         76:02G-019
         76:026-024
         76:02G-025
         76:02G-026
         76:026-028
         76:02G-029
         76:02G-032
         76:02G-035
         76:02G-040
         76:02G-041
         76:02G-049
         76:02G-050
         76:02G-052
         76:02G-054
         76:02G-067
         76:02G-070
         76:02G-072
         76:026-073
         76:02G-074
         76:026-079
         76:026-082
         76:02G-083
         76:02G-086
         76:026-088
         76:026-089
         76:026-091
         76:026-092
         76:026-095
         76:02G-096
         76:026-102
         76:026-108
         76:026-110
         76:026-113
         76:026-114
         76:026-121
         76:026-122
         76:02K-020
         76:03F-010
         76:0.3F-018
         76:03F-025
         76:03F-100
Soil-Water-Plant
Relationships
         76:020-001
         76:020-010
         76:026-075
         76:026-086
         76:03F-025
         76:Q3F-026
Soil Water Stress
         76:03F-095
Soils
         76;02D-005
         76:02E-002
         76:026-002
         76;026-003
         76:026-005
         76:026-006
         76:026-007
         76:026-008
         76:026-009
         76:026-011
         76:026-012
Soils
    (cont.)
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76
         76;
         76:
         76;
         76;
         76:
         76
       .  76;
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76;
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
         76:
:026-013
:026-014
:026-015
:02G-016
:026-024
:026-029
:-02G-031
:02G-034
.-02G-035
:026-036
:026-038
:02G-039
:02G-040
:02G-041
:026-042
:026-046
:02G-Q47
:026-Q48
:026-051
:02G-053
:026-054
:026-057
:026-059
:026-061
:026-063
:026-065
:026-066
:026-067
:02G-068
:026-071
:026-072
:02G-078
:02G-079
:026-080
:026-081
;026-083
:026-084
:02G-085
:02G-087
;02G-091
 02G-
 026-
 026-
 02G-
 02G-
 026-
 026-
 026-
 026-
 026-
 02G-
 026-
 026-
 026-
 02G-
 02J-
 02J-
 02J-
 02J-
 02K-
 02K-
 02K-
 02K-
 02K-
 02K-
 02K-
 02K-
 02K-
•092
•093
•095
•096
•099
•102
•103
104
105
•106
•107
108
109
•111
112
•001
•002
004
•014
•002
•005
•008
010
•013
•014
•017
•018
•019
                                             302

-------
Soils
     (cont.)
         76:02K-021
         76:03F-004
         76:03F-007
         76:03F-008
         76:03F-009
         76:03F-030
         76-.03F-084
         76:03F-100
         76:040-001
         76:05B-003
         76:058-008
         76:058-012
         76.-05B-014
         76:05B-015
         76:056-019
         76:056-020
         76:078-004
         76:078-005
         76:078-007
         76:07B-015
         76:076-027

Solar Radiation
         76:02B-006
         76:020-002
         76:020-011
         76:076-017

Solubility
         76:02G-063
         76:08G-003
Southeast U.S.
         76;t)2K-012

Southwest U.S.
         76:05G-001
Solutes
Sorghum
          76:02F-021
          76:02G-050
          76:02G-084
          76:02G-091
          76:020-001
          76:020-002
          76:020-007
          76:020-003
          76:03F-030
          76:05G-006

Sorption
          76:026-003
          76:02G-020
          76:026-038
          76:02G-094
          76:02G-098
          76:026-099
          76:026-104
          76:02K-001
          76:02K-010
          76:02K-013
          76:05B-012
          76:056-023
          76:056-038

South America
          76:02E-004

South Dakota
          76:03F-093
          76:05A-009
Soybeans
         76:020-
         76:020-
         76:02E-
         76:02G-
         76:021-
         76:02J-
         76:03F-
         76:03F-
         76:03F-
         76:03F-
         76:03F-
         76:03F-
         76:03F-
         76:03F-
         76:078-
•002
•008
•Oil
•062
•001
-015
•007
•052
•073
•074
•079
•097
•098
•111
•019
Spatial Distribution
         76:02G-084

Specific Retention
         76:02F-004
         76:02F-015

Specific Yield
         76:02F-005
         76:02F-012
         76:02F-016

Spraying
         76-.03B-003
         76:036-004

Spring Waters
         76:02F-003
         76:058-019
Springs
         76-.02F-024
Sprinkler Irrigation
         76:030-009
         76:03F-033
         76:03F-034
         76:03F-038
         76:03F-048
         76:03F-064
         76:03F-071
         76:03F-078
         76:03F-081
         76.-03F-092
         76:03F-103
         76:03F-106
         76:03F-107
         76:03F-128
         76:03F-129
         76:03F-130
         76:03F-132
         76:03F-133
         76;03F-134
         76:03F-137
         76:04A-007
Sprinkler  Irrigation
     Ccont.)
          76:04A-012
          76:050-005
          76:056-021
          76:060001
          76:076-011
          76:07B-025

Sprinklers
         76.-03F-107

Sprinkling
         76:03F-034
         76:03F-038
         76:04A-007

Stability
         76i02F-013

Stabilization
         76:040-001

Standards
         76:056-012
         76i05G-016

State Goverments
         76:056-017

Statistical Analysis
         76:02E-005

Statistical Methods
         76:02E-008
         76:02J*-010
         76:048^006
         76:05A-005
         76:058-030
         76:058-032
         76:05G-011

Statistical Models
         76:02A-004
         76 04B-006
         76:040-003

Statistics
         76|02B-002
         76:026-003
         76:02E-008
         76:02J-008
         76j05A-005

Steady Flow
         76s02F-001
         76:026-073
         76i026-091

Sterilant
         76:026-061

Stochastic Processes
         76:02A-007
         76:028-004
         76:028-005
         76:026-010
         761026-070
                                             303

-------
Stochastic Processes
    (cont.)
         76:02G-088
         76:03F-059
         76:04B-006
Streams
                             Sulfates
Stomata
Storage
         76:020-002
         76:021-007
         76:03B-004
         76:03F-026
         76:03F-055
         76:03F-075
         76:02K-020
Storage Capacity
         76:020-096

Storage Coefficient
         76:02F-012
         76:02F-016
         76:02F-029
         76:048-007
         76:050-009
         76:07C-001

Storm Drains
         76:056-015

Storm Runoff
         76:02E-001
         76:04A-006
         76:058-040
         76:05G-021

Storms
         76-.02B-002
         76:028-003
         76:02G-018
         76:02J-001

Stratification
         76:02G-036

Streamflow
         76:02A-003
         76:020-009
         76:02E-004
         76:02E-005
         76:02E-014
         76:038-002
         76:038-003
         76:040-001
         76:058-033
         76:058-047
         76:06F-001

Streamflow Forecasting
         76:02A-001
         76:02A-002
         76:02E-005

Stream Gages
         76:02A-001
         76:02A-006
         76:02F-014
         76:05A-002
         76:058-025
         76:05B-029
         76-.05B-033
Stress
         76:02F-012
Strontium
                             Subsoil
         76:03F-014
         76:02G-079
         76:02G-096
Subsurface Drainage
         76;02F-032
         76:02G-069
         76:02G-081
         76i03F-044
         76;05B-004
         76:05G-003

Subsurface Drains
         76;02G-069

Subsurface Flow
         76:02F-028
         76:05B-025

Subsurface Irrigation
         76:02F-032
         76:02G-037
         76:03F-001
         76:03F-018
         76-.03F-033
         76:03F-050
         76:03F-051
         76:03F-118
         76:078-013

Subsurface Runoff
         76:05B-002

Subsurface Waters
         76:02F-008
         76302F-010
         76:02F-023
         76:02F-026
         76:02G-085
         76)058-025

Sugar Beets
         76;03F-071
         76:03F-083
         76:03F-084
         76;03F-092
         76:03F-112
Sugarcane
         76:03F-008
         76:03F-056
         76;03F-064
         76:02K-002
         76;05A-002
         76:05D-001
                                                          Sulfur
         76:03F-056
         76;03F-076
         76:050-001

Sulfur Bacteria
         76:05A-007

Sulfur Compounds
         76:020-020

Sulphuric Acids
         76:03C-014
Summer
Surface
         76:06A-006
         76:07B-030
Surface Drainage
         76:020-081

Surface-Groundwater-
Relationships
         76:020-009
         76:02F-014
         76:058-025

Surface Irrigaiton
         76:03F-043
         76:03F-109
         76:03F-111
         76:03F-131
         76:03F-133
         76:03F-138
         76:04A-008
         76:07B~025

Surface Runoff
         76:02E-002
         76:02G-014
         76:03C-001
         76:04A-009
         76:04C-001
         76:040-003
         76:05B-001
         76:05B-009
         76:05B-016
         76:058-018
         76:05G-007
         76:07B-006
         76:078-024

Surface Water
         76:05A-002
         76:058-040
         76:06F-001

Surfactants
         76;02G-054
         76:02K-009
                                             304

-------
Surveys
         76:02G-009
         76:02G-013
         76:05B-037
Suspended Load
         76:040-005

Suspended Solids
         76:02J-006
         76:05A-005

Systems Analysis
         76:02A-005
         76:02A-007
         76:028-004
         76:02F-017
         76:03B-019
         76:03F-029
         76:03F-059
         76:04B-001
         76:04B-003
         76-.04B-004
         76:05B-028
         76:05B-029
         76:05B-030
         76:05B-031
         76:05B-032
         76:058-042
         76:05G-004
         76:05G-008
         76:05G-009
         76:05G-010
         76:05G-011
         76:05G-012
         76:06A-001
         76:06A-002
         76:06A-003
         76:06A-004
         76:06A-005
         76:06A-006
         76-.06A-007
         76:060-001
         76:060-002
         76:088-003

 Synthetic  Hydrology
          76:02A-004
          76:04A-006

 Tailwater
          76:030012
          76:03F-043
          76:03F-138
          76:058-049

 Technology
          76:03F-134
          76:05G-012
          76:05G-020
          76:06A-002

 Temperature
          76:020-001
          76:020-002
          76:020-003
          76:02E-008
          76:023-022
Temperature
    (cont.)
         76:02G-040
        - 76-.02G-053
         76-.02G-064
         76:02G-119
         76:021-003
         76-.03F-032
         76:03F-041
         76-.03F-121
         76:05A-005
         76:050-002
         76:050-004
         76:076-013
         76:078-014
         76:08B-004

Tennessee
         76:02K-012
         76-.03F-069

Tensiometers
         76:02G-005
         76:02G-110
         76:03F-108
         76:03F-047
         76:03F-084

Terracing
         76:03F-063

Tertiary Treatment
         76:056-032

Testing
         76:02F-018
         76:03B-001
         76:04A-001

Test Wells
         76:04B-008

Testing Procedures
         76:03F-027

Texas
         76:02E-007
         76:02E~013
         76:030-016
         76:030-017
         76:03F-030
         76:05B-018
         76:050-006
         76:056-007
         76:056-009

Theis Equation
         76:Q2F-012
         76:02F-013
         76-.02J-012

Theoretical Analysis
         76:020-013
         76:02F-007
         76:02F-011
         76:02F-021
         76:02F~025
         76:026-071
Theoretical Analysis
    (cont.)
         76:026-073
         76:02G-090
         76:026-092
         76.-02G-100
         76:02G-101
         76:03F-018
         76:04A-002
         76:05B-023
Theory
         76:03F-019
Thermal Conductivity
         76.-02G-007
         76-.02G-008
         76:026-039
         76:02G-040
         76:050-002

Thermal Pollution
         76:05B-022
         76:058-027
         76:05B-031

Thermal Stratification
         76:05B-031

Thermodynamic Behavior
         76:020-001

Thermodynamics
         76:026-032

Thiems Equation
         76:02F-019

Tidal Marshes
         76:021-005

Tidal Waters
         76:058-027

Tile Drainage
         76:026-069
         76:056-003
         76:088-003

Tile Drains
         76:02G-069
         76i08B-003
Till
Time
         76:03F-007
         76i02F-Q07
         76:02F-089
         76:058-028
Time Lag
         76:020-001

Time Series Analysis
         76j02A-004
         76i02A-006
         76:028-002
                                              305

-------
Time Series Analysis
    (cont.)
         76:02E-008
         76:04B-006
         76:05A-005
Tobacco
         76:03F-080
Tomatoes
         76:03F-035
         76:03F-061
         76:03F-062

Topography
         76:02A-001
Topsoil
          76:02G-002
          76;02K-008
Trace Elements
          76:02F-003
          76:02F-024
          76:05B-023

Tracers
          76:02G-002
          76:05B-030
          76:05B-032

Translocation
          76:020-048

Transmissivity
          76:020-009
          76:02F-010
          76:02F-OJ.9
          76:02F-022
          76:056-009
          76:070001

Transpiration
          76:020-001
          76:020-002
          76:020-006
          76:-2D-013
          76:02G-086
          76:021-007
          76:03B-003
          76:03F-040
          76:03F-068
          76:03F-070

TRanspiration Control
          76:03B-003
          76:038-004

Treatment
          76:05G-012

Tributaries
          76:02A-006
          76:02E-004
Tritium
          76:02G-050
          76:05B-014
          76:05B-037
Tropical Regions  -
         76:02G-096
         76:02J-001
Urban Runoff
          76:05A-002
                             Ureas
Tubes
                                       76:05A-003
Turbulance
         76:04B-007
         76:05B-030

Turbualent Flow
         76:05B-027
         76:05B-031
         76-.05B-033
          76:02K
          76:030
          76:03F
          76:03F
          76i03F
          76:03F
          76:03F<
          76;03F<
          76:03F.
-016
-001
-006
-008
-032
-035
-053
-085
-090
                             Turf
Vapose Water
          76:02K-020
          76:05B-038
         76:03F-053
         76:03F-118
                                                          Value
                                      76:02A-005
Turf Grasses
         76:030-001
         76:03F-053
         76:03F-118

Underground Waste Disposal
         76:05B-024

Uniformity
         76:03F-130
         76:03F-132

Uniformity Coefficient
         76.-Q3F-Q38
         76:Q3F-Q48
         76:Q3F-Q99
         76i04A-Q07
         76:Q8B-007

Unsaturated Flow
         76;02F-002
         76:02G-002
         76:02G-003
         76:026-010
         76:02G-011
         76:02G-029
         76:02G-050
         76:026-070
         76:026-072
         76:026-073
         76:026-074
         76:02G-088
         76:026-089
         76:026-090
         76:026-097
         76:026-100
         76,-026-101
         76:026-103

Unsteady Flow
         76:02F-002
         76:02F-012
         76:02F-020
         76:02F-029
         76:02G-029
         76:026-072
         76:026-091
         76:02G-092
         76:04B-007
         76:05B-027
Vapor Pressure
         76|03F^075

Variability
         76:02B<-002
         76:026-079

Vegetation
         76:020-004
         76;02D-Q06
         76:02J-013
         76:03F-016
         76;04A-003

Vegetation Effects
         76 1026^-013
         76:02J-013
         76:040-003

Velocity
         76s02F-001
         76)026-100
         76:05B-030
         76:056^-033

Venturi Flumes
         76:08B-008
Viability
         76:021-003

Viscosity
         76:026-006
         76:026-082
         76:04A-002
         76;04A-003
         76:08B-002
         76:086-004

Viscous Flow
         76:026-006

Volatility
         76s02K-016

Volumetric Analysis
         76:08GT-003
                                            306

-------
Washington
         76:02A-001
         76:02A-002
         76:050-021

Vlaste Assimilative
Capacity
         76:058-029

Waste Dilution
         76:05B-038

Waste Disposal
         76:05A-006
         76:05B-024
         76:05B-035

Waste Disposal Wells
         76:05B-024

Waste Dumps
         76:05A-006

Waste   Storage
         76:02K-020

Waste Treatment
         76:058-035
         76:056-008

Waste Water •
         76:05B-034

Waste Water Disposal
         76:02K-020
          76;05B-038
          76:050-002
          76:05G-020

Waste Water Treatment
          76:058-038
          76:050-001
          76:050-003
 Wastes
 Water
          76:05B-024
          76.-05B-025
          76:05G-004
          76:020-001
          76:020-004
          76:02D-010
          76:03F-016
          76:05G-027
          76:060-002
 Water Allocation
          76:06D-002

 Water Allocation  (Policy)
          76:06A-002
          76:06A-006
          76:06F-001

 Water Analysis
          76:02E-004
          76:05A-002
          76:05G-014
          76:05G-021
Water Balance
         76:020-010
         76:02G-041
         76:030-001

Water Chemistry
         76:05A-002
         76:05B-023
         76:056-021

Water Conservation
         76:026-025
         76:038-003
         76:038-004
         76:03F-002
         76:03F-003
         76:03F-004
         76:03F-024
         76:03F-051
         76:03F-122
         76:03F-124
         76:03F-125
         76:03F-127
         76:040-001
         76:060-002

Water Costs
         76:03r-059
         76:04A-011
         76:060-001
         76:060-002

Water Delivery
         76:060-002

Water Demand
         76-.06A-002
         76:060-001
         76:06F-001

Water Distribution (Applied)
         76:03A-001
         76:03F-001

Water Flow
         76:05B<-053

Water Harvesting
         76:040-001

Water Law
         76-.06F-001

Water Level Fluctuations
         76:02F-011
         76:02F-025
         76:048-011

Water Levels
         76:02F-011
         76:02F-019
         76:04A-002
         76:048-006
         76:048-010

Water Loss
         76:02A-007
         76.-02D-001
Water Management
         76:05G-020
         76:06C-002
         76:078-013

Water Management
(Applied)
         76i03C-001
         76i03F-002
         76:03F-024
         76i06A-006
         76:088-003

Water Measurement
         76)020-001

Water Policy
         76:03F-028
         76:03F-030
         76.-04A-004
         76:048-003
         76:056-005
         76:056-016
         76:060-001
         76:06F-001

Water Pollution
         76:02E-002
         76:026-054
         76;05A-004
         76:05A-005
         76:05A-006
         76:05A<-007
         76:058-001
         76i05B-OQ3
         76-058-004
         76(058-024
         76:058-029
         76:058-032
         76:058-037
         76s05B-038
         76:058-041
         76:058-051
         76:056-007
         76:056-013
         76:056-016
         76:056-017
         76:06A-011

Water Pollution Control
         76:058-035
         76:058-042
         76:056-005
         76:056-010
         76:056-011
         76*056-014
         76:056-015
         76:06A-001
         76s06A-011

Water Pollution Effects
         76:056-017

Water Pollution Sources
         76:05A-002
         76-.058-002
         76:058-004
         76i05B~013
                                              307

-------
Water Pollution Sources
     (cont.)
         76:05B-024
         76:05B-032
         76:05B-033
         76:058-035
         76:05B-040
         76:056-051
         76:05G-005
         76:05G-007
         76:05G-010
         76:05G-014
         76:05G-016
         76:05G-017

Water Pressure
         76:02G-082
         76:02G-089

Water Properties
         76:05A-002
         76:078-003

Water Quality
         76:02E-001
          76:02E-010
          76:02E-014
          76:02F-003
          76:02F-006
          76:02F-024
          76:02F-034
          76:02G-050
          76:020-054
          76:02G-128
          76:02J-006
          76:02K-012
          76:030-011
          76:030-012
          76:030-013
          76:030-016
          76:03F-135
          76:040-006
          76:05A-002
          76:05A-005
          76:05A-007
          76:05A-009
          76:058-001
          76:056-002
          76:05B-Q04
          76:05B-007
          76:058-011
          76:058-016
          76:058-019
          76:058-021
          76:058-029
          76:058-033
          76:058-040
          76:05B-041
          76:058-042
          76:05B-043
          76:058-049
          76:058-051
          76:058-052
          76:05B-056
          76:050-001
          76:050-002
          76:050-003
          76:05G-001
          76:05G-002
Water Quality
     (cont.)
         76:056-003
         76;05G-006
         76:056-015
         76:05G-016
         76:05G-017
         76:05G-019
         76:05G-022
         76:06A-006
         76:06A-011
         76:06E-001
         76:07B-003
         76:078-024
         76:086-003

Water Quality Control
         76:05A-009
         76:058-028
         76:058-051
         76:050-001
         76:050-002
         76:056-009
         76:05G-020
         76:06A-011

Water Quality Management
         76:02E-014
         76:078-024

Water Quality Standards
         76:05G-016
         76:06A-011

Water Quantity
         76:030-001
         76:05G-007
         76:05G-008

Water Requirements
         76:03F-039
         76:078-004

Water Resources
         76:02A-007
         76:02B-003
         76;03A-001
         76:03B-001
         76:03E-001
         76:03F-028
         76:03F-030
         76:04A-004
         76:048-009
         76:058-043
         76:058-051
         76:050-001
         76:056-012
         76;05G-015
         76:056-016
         76:06A-001
         76:06A-002
         76:06A-004
         76:06A-QQ5
         76:Q6A-Q07
         76:06A-011
         76:Q6E-QQ2
         76;Q6F-Q01
VJater Resources
Development
         76:048-005
         76:06A-006
         76:060-002
         76:06F-001

Water Rights
         76:03E-001
         76:048-005

Water Salinity
         76:05B-016
         76:078-003

Water Sampling
         76:05A-003
         76:078-006

Watershed Management
         76i02E-013
         76i02J-008
         76i02J<-016
         76i03C-001
         76j03F~063
         76s04C-001
         76:040-003
         76:058-052

Watersheds
         76:02E-01JL
         76:02E-013
         76i02E^014
         76i02J-016
         76:058-047
         76i05Bv050

Watersheds (Basins)
         76:02A-003
         76:02A-005
         76:02A-006
         76:02E-001
         76;02E^006
         76;02E-007
         76i02E^009
         76:92F-028
         76s02G-013
         76:02J-010
         76:038-002
         76:038-004
         76:04A-006
         76:040-001
         76:040-003
         76:05B-002
         76:058-009
         76i05B-011
         76:058-018
         76:058-040
         76:056-007
         76:056-021

Water Spreading
         76i02G-00'5
         76:026-102
                                            308

-------
Water Storage
         76:02F-004
         76:02F-015
         76:02G-078
         76:02G-096
         76:03A-001

Water Supply
         76:02C-001
         76:020-013
         76:03A-001
         76:03E-001
         76:03F-029
         76:040-001
         76:Q5A-Q13
         76:06A-002
         76:06A-003
         76:06A-006
         76:06C-002
         76:06D-001
         76:06F-001
         76:08G-003

Water Supply Development
         76:060-002

Water Surface
         76:05A-014

Water Table
         76:02F-001
         76:02F-002
         76:02F-005
         76:02F-006
         76:02F-008
         76:02F-016
         76:02F-019
         76:02F-020
         76:02F-025
         76:02F-032
         76:02G-028
         76-.02G-093
         76:026-123
         76:02K-020
         76:02L-001
         76:Q3F-018
         76:03F-026
         76:04A-002
         76:04B-006
         76:058-024
         76:05B-032
         76:056-009

Water Table  Aquifers
         76:02F-012
         76:02F-019
         76:02F-025

Water Temperature
         76:02E-008
         76:05A-005
         76:053-022
         76:056-031
         76:086-004

Water Treatment
         76:050-003
         76:05F-001
         76:056-016
Water Use Efficiency
         76:03F-066

Water Utilization
         76:03A-001
         76:03F-028
         76:03F-030
         76:03F-063
         76:056-001
         76:056-020
         76:06A-006
         76:060-002
         76:06D-001

Water Vapor
         76:026-007
         76:026-008
         76:02G-040
         76:03F-052
         76:03F-068

Water Wells
         76:02F-007
         76:02F-012
         76:02F-016
         76:02F-019
         76:02F-022
         76:02F-023
         76:046-002
         76:04B-006
         76:046-007
         76:046-011
         76:056-032
         76:056-037
         76:058-039

Water Yield
         76:02A-003
         76:02F-022
         76:038-002
         76:040-001
         76:040-003
         76:056-014

Water Yield Improvement
         76:038-003
         76:038-004
         76:040-001

Waves (Water)
         76i05B-026
Weather
         76:03F-029
         76:03F-030
Weathering
         76:040-001

Weather Modification
         76:028^-008

Well Casings
         76;02F-011
         76:05A-004
Well Filters
          76:02F-011

Well Screen
          76:056-009
Wells
Wetting
Wheat
         76i02F-003
         76i02F-022
         76:02F-023
         76:02F-029
         76i04B-001
         76:04B-007
         76:05A-006
         76:05B-037
         76:058-033
         76:086-001
         76:020-001
         76:026-003
         76:020-016
         76:020-071
         76:026-083
         76:026-087
         76:026-089
         76:026-099
         76:026-058
         76:026-078
         76:026-118
         76:021-007
         76:03F-002
         76:03F-004
         76:03F-011
         76:03F-015
         76:03F-027
         76:03F-057
         76-.03F-063
         76:03F-068
         76.-03F-072
         76:03F-088
Wildlife
         76i03F-045

Wildlife Habitat
         76:03F-045

Wildlife Management
         76:03F-045

Wind Velocity
         76:020-003
         76:03F~048
         76:03F-130
         76:056-022

Wind Speed
         76)078-021
Winds
Well Data
         76:048-006
         76:020-003
         76:03F-038
         76:03F-048
         76:03F-130
         76j04A-007
                                              309

-------
Winter
         76:028-002

Wisconsin
         76:026-111
         76:03F-090
         76:05G-005

Withdrawal
         76:04B-010
         76:04B-011

Wyoming
         76:043-009
         76:06E-002

X-Ray  Diffraction
         76:02G-112
         76:02J-006

X-Ray  Spectroscopy
          76:07B-001

Xylem
          76:02G-092
          76:03F-025
          76:03F-049

 Zinc
          76:02K-019
          76:03F-013
          76: 03F-061
          76:03F-062
          76:03F-081
          76:03F-086
          76:058-055
          76:076-001

 Zone of Aeration
          76:058-032
                                              310

-------
TECHNICAL REPORT DATA
(Please read Instructions on the reverse before completing)
1. REPORT NO. 2.
EPA-600/2-78-042
4. TITLE AND SUBTITLE
SELECTED IRRIGATION RETURN FLOW QUALITY ABSTRACTS 1976
Sixth Annual Issue
7. AUTHOR(S) 	
G. V. Skogerboe, S. W. Smith, and W. R. Walker
9. PERFORMING ORGANIZATION NAME AND ADDRESS
Agricultural and Chemical Engineering
Colorado State University
Fort Collins, Colorado 80523
12. SPONSORING AGENCY NAME AND ADDRESS
Robert S. Kerr Environmental Research Laboratory-Ada, OK
Office of Research and Development
U.S. Environmental Protection Agency
Ada, Oklahoma 74820
3. RECIPIENT'S ACCESSION-NO.
5. REPORT DATE
March 1978
6. PERFORMING ORGANIZATION CODE
8. PERFORMING ORGANIZATION REPORT NO.
10. PROGRAM ELEMENT NO.
1BB770
11. CONTRACT/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 perti-
  nent 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  publications  printed in 1970  and
  1971, the third annual issue  covers  calendar years  1972 and  1973, and  the  fourth and
  fifth annual issues cover  literature published in 1974 and 1975.  This annual issue
  lictc mihi-iraHnnc nrintpd in 1976.   This report was  submitted  in fulfillment of
Grant Number R-800426 under the sponsorship of the Office of Research and Development,
Environmental Protection Agency.
(Skogerboe-Colorado State)
?7. KEY WORDS AND DOCUMENT ANALYSIS
a. DESCRIPTORS
Fertilizers, Irrigated land, salinity.
18. DISTRIBUTION STATEMENT
Release to Public
b.lDENTIFIERS/OPEN ENDED TERMS
Irrigation systems, Irri-
gation water, Nitrates,
Phosphates, Return flow,
Water pollution effects,
Water pollution sources,
Water quality control.
19. SECURITY CLASS (This Report)
Unclassified
20. SECURITY CLASS (This page)
Unclassified
c. COSATI Field/Group
68A
98C
21. NO. OF PAGES
319
22. PRICE
EPA Form 2220-1 (9'73)
311
                                                        4V.&
                                                               fUMIW OH** B7V-260-880/55

-------