EPA-600/9-78-003
February 1978
          SYMPOSIUM ON ENVIRONMENTAL
  TRANSPORT AND TRANSFORMATION OF PESTICIDES
        OFFICE OF RESEARCH AND DEVELOPMENT
        U.S. ENVIRONMENTAL PROTECTION AGENCY

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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 interlace 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 document is available to the public through the National Technical Informa-
tion Service, Springfield, Virginia 22161.

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                                                        EPA-600/9-78-003
                                                        February 1978
                             SYMPOSIUM
                                  ON
 ENVIRONMENTAL TRANSPORT AND TRANSFORMATION OF  PESTICIDES
                  JOINT U.S.-U.S.S.R. PROJECT 02.03-31
"FORMS AND MECHANISMS BY WHICH PESTICIDES AND CHEMICALS ARE TRANSPORTED"
               S. G. Malakhov, Co-Chairman, U.S.S.R. Side
               David W. Duttweiler, Co-chairman, U.S. Side
                   ENVIRONMENTAL RESEARCH LABORATORY
                   OFFICE OF RESEARCH AND DEVELOPMENT
                  U. S. ENVIRONMENTAL PROTECTION AGENCY
                         ATHENS, GEORGIA 30605
                   For tmle by the Superintendent of Documents, U.S. Government
                         Printing Office, Weihington. D.C. 20402

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                                 DISCLAIMER
     This report has been reviewed by the Environmental Research Laboratory,
U. S. Environmental Protection Agency, Athens, Georgia, 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.
                                    ii

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                                  FOREWORD
     Cooperation and exchange of scientific information under the US-USSR
Agreement on Cooperation in the Field of Environmental Protection has helped
both countries in their efforts to control environmental pollution.  Begun
in 1972, the Agreement was extended for a second 5-year period by the Co-
Chairmen of the Joint US-USSR Committee—Mr. Douglas M. Costle, Administrator
for the U.S. Environmental Protection Agency, and Academician Yuri Z. Izrael,
Chief of the Main Administration of the Hydrometeorological Service.

     Among several working groups and projects established under this
Agreement is Project 02.03-31, "Forms and Mechanisms by Which Pesticides and
Chemicals are Transported in Soil, Water, and Biota."  The agreed objective
of this project is "mutually beneficial cooperation that will aid in the
solution of environmental problems associated with the migration of pesticides
and chemical substances used in agriculture."  Responsibility for US participa-
tion in the joint project was assigned to the undersigned in 1974.  Members
of this project and invited experts from government research organizations,
academia, and private industry from the two countries have since exchanged
visits on several occasions.  This document records the extended abstracts of
papers presented at a project symposium, which was held in October 1976 in
Tbilisi, USSR, to exchange current scientific information on the environmental
movement and transformation of agricultural pesticides.
                                  David W. Duttweiler
                                  Director
                                  Environmental Research Laboratory
                                  Athens, Georgia
                                     111

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                                  ABSTRACT
     Under the USA-USSR Agreement on Cooperation in the Field of Environmental
Protection, a joint project committee on environmental transport of agricultural
chemicals  (pesticides and fertilizers) sponsored a symposium on 20-27 October
1976 in Tbilisi, USSR.  Papers were presented by American and Soviet scientists
on the movement and transformations of pesticides in the atmosphere, in soils,
in water, in plants, and in animals, and on the use of mathematical modeling
to describe the transport and transformation of pesticides in the environment.
Twenty-six papers encompassed reviews of the state of the art in each country
and results of research on particular aspects of the topics.
                                      iv

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                                  CONTENTS


Foreword	iii

Abstract	iv

Introduction 	   viii

Pesticide Movement and Transformation in the Atmosphere
Co-Chairmen:  D. G. Crosby (USA) and S. G. Malakhov (USSR)

     Atmospheric Transport and Transformation of Pesticides	1
          D. G. Crosby, University of California

     Atmospheric Transport of DDT	11
          V. A. Borzilov, S. G. Malakhov, and A. I. Osadchii,
          Institute of Experimental Meteorology; V. M. Koropalov
          and I. M. Nazarov, Institute of Applied Geophysics

     Disparlure and Some Juvenile Hormone Analogue Persistence
          in the Environment	21
          F. P. Waintraub, G. F. Vylegzhanina, L. L. Chernichuk,
          and I. A. Konjukhova, All-Union Institute for
          Biological Methods of Plant Protection

Pesticide Transport and Transformation in Soil
Co-Chairmen:  D. D. Kaufman  (USA) and M. S. Sokolov (USSR)

     Predicting and Simulating Pesticide Transport from Agricultural
          Land:  Mathematical Model Development and Testing	30
          G. W. Bailey and H. P. Nicholson, U. S. Environmental
          Protection Agency

     General Laws of the Migration of Pesticide Residues in the
          Delta Landscape under Irrigation  	   38
          M. S. Sokolov, Institute of Agrochemistry and Soil
          Science of the USSR Academy of Sciences

     Certain Laws of Organochlorine Pesticide Redistribution
          in the Soil-Water, Soil-Plant System  	   47
          G. G. Zhdamirov, E. E. Popov, and N. F. Lapina,
          Institute of Experimental Meteorology

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                          CONTENTS  (continued)
     Pesticide Transport and Metabolism in Model Systems  	  61
          D. D. Kaufman, P. C. Kearney, and R. G. Nash,
          U. S. Department of Agriculture

     Cometabolism of Foreign Compounds 	  ,  73
          L. A. Golovleva and G. K. Skryabin, Institute
          of Biochemistry and Physiology of Microorganisms

     On the Estimation of the Anthropogenic Pollution Effect
          on the Functional State of the Soil Microflora  ........  86
          E. I. Gaponyuk and V. A. Kobzev, Institute of
          Experimental Meteorology

Pesticide Transport and Transformation in Water
Co-Chairmen:  G. L. Baughman (USA) and M. N. Tarasov (USSR)

     Transformation and Transport Processes in Aquatic Systems 	  98
          G. L. Baughman, U. S. Environmental Protection Agency

     Estimation of Organochlorine Pesticide Loss in Surface
          Runoff Waters	103
          Ts. I. Bobovnikova, E. P. Virchenko, G. K. Morozova,
          Z. A. Sinitsyna, and Yu. P. Cherkhanov, Institute of
          Experimental Meteorology and Institute of Applied
          Geophysics

     Hexachlorocyclohexane, Metaphos, and Chlorophos Decomposition
          in Soil and Their Migration with the Waters of Surface
          Runoff	108
          M. N. Tarasov, L. G.  Korotova,  A. S. Demchenko, and
          L. V. Brazhnikova, Hydrochemical Institute

     Partitioning and Uptake of Pesticides in Biological Systems ....  117
          E. E. Kenaga, Dow Chemical U.S.A.

Pesticide Transport and Transformation in Plants
Co-Chairmen:  J.  J.  Menn (USA)  and F. P.  Waintraub (USSR)

     Pesticide Transport and Transformation in Plants	126
          D. S.  Frear,  U.  S.  Department of Agriculture,
          and J.  J.  Menn,  Stauffer Chemical Company

     Pathways of Pesticide Dissipation and Decomposition 	 ,  140
          F. P.  Waintraub,  G. F.  Vylegzhanina,  L. P.  Dron,
          L. S.  Kejser, I.  p. Nesterova,  and F.  I.  Patrashku,
          Ail-Union Institute for Biological Methods of  Plant
          Protection
                                    VI

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                           CONTENTS (continued)


     Studies of the Behavior of Organophosphorous Insecticides
          in Soil and in Soil-Plant System	151
          T. M. Petrova, K. V. Novozhilov, T.  A.  Evstigneyeva,
          and F. I. Kopytova, Ail-Union Research Plant Protection
          Institute

Pesticide Transport and Transformation in Animals
Co-Chairmen:  J. E. Casida (USA) and Y. S. Kagan (USSR)

     Metabolism of Pyrethroid Insecticides and Thiocarbamate
          Herbicides	163
          J. E. Casida, University of California

     Basic Trends and Results in the Study of Pesticide Toxicology .  .  .   171
          Y. S. Kagan, USSR Ministry of Public Health

     Metabolism and Persistence of Pesticides and Other Xenobiotic
          Chemicals in Fish	187
          J. J. Lech, Medical College of Wisconsin

     Pesticide Movement in the Organism of Farm Animals	190
          G. A. Talanov, Research Institute of Veterinary Sanitation

Mathematical Modeling of Pesticide Transport and Transformation
Co-Chairmen:  D. W. Duttweiler  (USA) and V. M. Voloshchuk (USSR)

     Mathematical Modeling of Pesticides in the Environment	194
          J. Hill, IV, U. S. Environmental Protection Agency

     Quality Analysis and Numerical Experiment in Analyzing the
          Effect of the Anthropogenic Pollution of the Biota  	   198
          V. M. Voloshchuk, Institute of Experimental Meteorology

     Basic Mathematical Models of Toxicant Transport through
          the Soil Profile	201
          V. V. Rachinskii, Timiryazev1 Academy of Agricultural
          Sciences

     Mathematical Modeling and Control as a Radical Way of
          Environmental Protection from Pesticide Contamination	   210
          E. I. Spynu, USSR Ministry of Public Health

     Modeling of Pesticide Degradation in Plants and Evaluation
          of Their Application Systems 	   223
          L. N. Ivanova, USSR Ministry of Public Health

     The Model of the Pesticide Circulation in Fergana Valley	230
          V. M. Koropalov and I. M. Nazarov, Institute of Applied
          Geophysics

                                    vii

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                                INTRODUCTION
     As part of the 1972 USA-USSR Agreement on Cooperation in the Field of
Environmental Protection, a cooperative program of information exchange on
the environmental transport of agricultural chemicals  (pesticides and
fertilizers) began in 1974.  Scientists from both countries visited major
research centers to become familiar with the use of pesticides and nutrients
in agriculture and with current concepts and research on environmental
effects of these chemicals.

     To focus on a scientific question of particular mutual concern, the
joint project committee sponsored a 7-day symposium on the Environmental
Transport and Transformation of Pesticides, which was hosted by the Soviet
side at Tbilisi on 20-27 October 1976.  The symposium was held in conjunc-
tion with the fourth meeting of the USA-USSR Joint Project Committee for
Project 02.03-31, "Forms and Mechanisms by Which Pesticides and Chemicals
are Transported."  Eleven US delegates met with 26 Soviet scientists to
discuss six main topics:  pesticide transport and transformation in the
atmosphere in soil, in water, in plants, and in animals, and mathematical
modeling techniques for characterizing pesticide migration and transformation
in the environment.  Opening remarks by G. G. Svanidze  (USSR), D. W.
Duttweiler  (USA), and S. G. Malakhov  (USSR) emphasized mutual interest
in the symposium topic; the importance of pesticides to agricultural pro-
ductivity; and the value of scientific understanding of the environmental
entry, transport, transformation, ecological effects, and ultimate residual
distribution of pesticides.

     This document is a compilation of extended abstracts of papers presented
at the symposium.  English translations of the Soviet papers were provided by
the USSR and have not been altered.  A brief summary of the symposium appeared
in the Journal of Agricultural and Food Chemistry, Volume 25, Number 5,
pp. 975-978, September/October 1977.
                                    viii

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           ATMOSPHERIC TRANSPORT AND TRANSFORMATION OF PESTICIDES

                              Donald G. Crosby
                   Department of Environmental Toxicology
                 University of California, Davis, CA  95616
     Pesticides enter the atmosphere on dust particles and by volatilization
from soil and water surfaces, and thus they can travel over great distances.
Cohen and Pinkerton (1) traced the 2000 km movement of a dust cloud from an
agricultural area in Western Texas to Cincinnati, Ohio (Fig. 1), where DDT,
DDE, and 5 other pesticides were detected in it.  Rain falling on Ohio also
contained these and other pesticides (Table I).

     Many pesticides are quite volatile under certain conditions (2),  Al-
though the vapor pressure of DDT is only 7.2 x 10~7 torr (30°C), it evapor-
ates from treated fields at a rate of 5-10 kg/ha/yr Q), depending upon
temperature, moisture, and air movement.  However, DDT derivatives such as
o,p'-DDT, DDD, and DDE are more volatile than DDT itself and also are found
after DDT application due to their presence in formulations or to biological
and nonbiological breakdown.  Consequently, 66% of the total DDT atmosphere
over a treated field was DDE, and most of the DDT in aerated soil probably
will be volatilized eventually as DDE (Table II).  Accurate measurements of
vapor pressures are important in predicting volatilization rates but are
available to only a very limited extent (4).

     Mackay and co-workers (5., 6) have calculated the residence time of sever-
al pesticides and other chemicals in water in relation to vapor pressure,
concentration, and other measurable properties (Table III) and have corrected
the values for mass transfer rate.  The results indicate much faster transfer
of pesticides from water into the atmosphere than had been generally recog-
nized; for example, the corrected half-life of DDT in water of 1 m depth is
calculated to be 73.9 hrs.  Such values are consistent with experimental ob-
servations (3).

     Due largely to this volatilization, pesticides have been detected in the
atmosphere over both urban and agricultural areas of the United States.
Stanley and co-workers  (T) collected air samples at 9 locations and analyzed
them for 18 compounds  (Fig. 2).  DDT and related substances always were pre-
sent, BHC isomers tended to occur over urban areas, but campheclor  (toxa-
phene) and parathion were found only in rural locations.  High levels often
corresponded to periods of low rainfall.  Apparently, loss to the atmosphere
either as vapor or particulate matter represents a major aspect of pesticide
transport.

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     The presence of light, water, reactive surfaces, oxygen, and other oxi-
dants are thought to cause pesticide transformations in the atmosphere.  Many
pesticides undergo photochemical decomposition in water or other solvents (o)>
and similar breakdown in the vapor state is not surprising.  For example, ir-
radiation of the herbicide trifluralin (I) in vapor form with ultraviolet
light (wavelengths greater than 290 nm) in a glass reactor (9) rapidly pro-
vided the dealkylated and cyclicized products (Fig. 3) reported earlier from
irradiation of solutions (10,LI).  DDE vapor reacted similarly to form DDMU,
4,4'-dichlorobenzophenone  (VI), a DDE isomer (VII), and chlorinated biphenyls
(12)  (Fig. 4).

      In order to confirm that the same reactions actually take place in the
atmosphere above treated fields, high-volume air samplers were constructed
either of glass  (Fig. 5A)  or metal  (Fig. 5B).  Atmospheric constituents were
caught by glass-fiber filters or by solid, unreactive adsorbents and could be
collected at rates exceeding one m^/min.  The air over fields treated with
technical trifluralin — on the soil surface, incorporated into the soil, °r
released directly into  the atmosphere as vapor — was shown  to contain the
expected photodecomposition products (3.1)  (Fig. 6).  Note in the figure that
photoproduct formation  must have been very rapid initially.

      A similar comparison  of laboratory and field data for the insecticide
parathion  (VIII)  (13.,14_)  (Fi8-  7) showed that atmospheric oxidants and solid
surfaces were important for photochemical  changes; parathion vapor in  an
orchard was  converted to paraoxon  (IX) and then to p-nitrophenol which repre-
sented a  stable  end-product.

      Although only very limited data have  appeared on this subject, the
existing  evidance shows clearly that many  pesticides  can be  expected to move
readily  from soil, water,  and  other surfaces  into  the atmosphere and then be
 transformed  by  abiotic  chemical reactions  into  the rather  stable and some-
 times unexpected products  (for example,  the  chlorinated biphenyls, nitro-
 benzimidazoles,  and  p-nitrophenol mentioned  here).

 REFERENCES

  (1)  J.M.  Cohen and C. Pinkerton,  Widespread translocation  of  pesticides by
       air transport and rain-out, Advances in Chemistry 60,  163 (1966).

  (2)  W.F.  Spencer, W.J.  Farmer, and M.M.  Cliath,  Pesticide  volatilization,
       Residue Reviews  49, 1 (1973).

  (3)  W.F. Spencer, Movement of DDT and its derivatives into the atmosphere,
       Residue Reviews  59, 91  (1975).

  (4)  M.M. Cliath and  W.F. Spencer, Dissipation of pesticides from soil by
       volatilization of degradation products, Environmental Science and
       Technology 7, 611  (1973).                  '

  (5) D. Hackay and A.W.  Wolkoff,  Rate of evaporation of low-solubility  con-
       taminants from water bodies  to atmosphere, Environmental Science and
       Technology 7, 611  (1973).

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 (6)  D. Mackay and P.J. Leinonen, Rate of evaporation of low-solubility
      contaminants from water bodies to atmosphere, Environmental Science
      and Technology 9, 1178 (1975).


 (7)  C.W. Stanley, J.E. Barney, M.R. Helton, and A.R. Yobs, Measurement of
      atmospheric levels of pesticides, Environmental Science and Technology
      5, 430 (1971).

 (8)  D.G. Crosby, The photodecomposition of pesticides in water, Advances
      in Chemistry 111, 173 (1972).

 (9)  D.G. Crosby and K.W. Moilanen, Vapor-phase photodecomposition of aldrin
      and dieldrin, Archives of Environmental Contamination and Toxicology
      2, 62 (1974).

(10)  E. Leitis and D.G. Crosby, Photodecomposition of trifluralin, Journal
      of Agricultural and Food Chemistry 22, 842 (1974).

(11)  C.J. Soderquist,  D.G.  Crosby, D.W. Moilanen,  J.N.  Seiber, and J.E.
      Woodrow,  Occurrence of trifluralin and its photoproducts in air,
      Journal of Agricultural and Food Chemistry 23,  304  (1975).

(12)  D.G. Crosby and K.W. Moilanen, Vapor-phase photodecomposition of DDT,
      Chemosphere, in press.  1976.

(13)  K.W. Moilanen and D.G. Crosby, Pesticide photooxidation in the atmos-
      phere,  Environmental Quality and Safety 3 (Supp),  308 (1975).

(14)  J.E. Woodrow, J.N. Seiber, D.G.  Crosby, K.W.  Moilanen,  and C. Mourer,
      Airborne  and surface residues of parathion and  its  conversion pro-
      ducts in  a treated plum orchard environment.  Archives  of Environmen-
      tal Contamination and  Toxicology,  accepted for  publication in 1977.

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    Table I.   Pesticides Precipitated from the
         Atmosphere at  Cincinnati,  Ohio (!_)


                        Pesticide Content
                Dust  (ng/g)
                  Rain  (ng/ml)
DDT
DDE
Chlordane
2,4,5-T
Dieldrin
600
200
500
40
3
0.34 (0.07
0.02 (0.005
•f
+
+
- 1.30)
- 0.02)



+ Signifies detected but not measured
      Table II.  Volatilization of Pesticides
             from DDT-Treated Soil (_3)
                  In Soil
Chemical

p,P'-DDT
p,p'-DDE
o,p'-DDT
o,p'-DDE
  Total
         Ratio
          to
      P.P'-DDT
14.1   1.0
 6.2   0.44
 2.7   0.19
 0.12  0.008
23.1
_In Atmosphere

       Ratio
        to
ng/m3 p,p'-DDT
 104
 419
  69
  26
 618
1.0
4.03
0.66
0.25

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           Table III.   Calculated Evaporation  Rates at 25°C  (5_)


Biphenyl
Arochlor 1254
DDT
Aldrin
Lindane
Dieldrin
Solubility
(mg/1)
7.48
0.012
0.001
0.2
7.3
0.25
Vapor Press
(Torr)
0.057
7.7 x 10"-
1 x 10~7
6 x 10-6
9 x 10~6
1 x 10~7
Tl/2
(hrs)
7.5
10.3
73.9
185
4,590
12,940
              ^"'STr^-
                 7 (*>"«;•		

          A      / 'v          SJi?»

         tea—-4  I


                cC,  S  ,	b;
                /    •••JIIJ«|«« ^^••CMJtl
                /             I

               4^
            ;  *B*-to^       ;.i5S!

           /      '    '	r—
           .       ,     [«..:„„
              \  fas.—-L

               f      I"""
Fig. 1.  Pesticide movement on  dust from Texas to Ohio,  January 1964  (1)

         Each curved line indicates 6 hours.

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                               Rural
                        Salt  Stone-       '       Rural
               Fresno   Lake   ville  Baltimore   Orlando
   DDT
   DDE
   BHC
   Camphechlor
   Methyl
    Parathion
11.2
6.4
4.5
-
-
8.6
-
28.6
-
.
950
47
-
1340
129
19.5
2.4
9.3
-
••
1560
131
-
2520
5.4
Fig.  2.  Pesticides in  the lower atmosphere (ng/m )  at 5 U.S. Sites
        in 1970 (7).

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        CF,
  02N  ^T NO,
        N
       ^ \
    H7C3 C3H7

        I
             ,OH
        CF,
0,N  T   N
0,N ^T  NO,
     X
  H7C3 H

     n
                             I
                          CF
                       02N
                          -C3     C2H3

                             IS
                                          02N  ^T  NO,
                                               A
                                              H  H

                                               XL
                                             0,N      N
                                                  j
                  -*  02N
                                              H'     'C2H3
Fig. 3.   Photodecomposition pathway of trifluralin (I) in water
         or as  atmospheric vapor (^£,3.1^).

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    Cl
   H-C-CCL
    Cl
Cl
 C=CCL
Cl
 Cl
 C=0
Cl
VI
 Cl
    Cl
 C=CHCI  -J-
Cl
VII
Fig.  4.   Photodecomposition pathway of DDT and DDE in water or as
         atmospheric vapor (12).
      FILTER
  ADSORBENT
 GLASS  WOOL
                                               FILTER

                                               ADSOR8ENT
                            . 100 MESH
                             WIRE SCREEN

                           ~~FAN a  MOTOR
 Fig.  5.  Diagrams of high-volume air samplers  made of glass (A)
         or metal (B)  (11).

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             123456
                DAYS AFTER  APPLICATION
Fig. 6.   Recovery of trifluralin and its major photodecomposition
         products from the atmosphere by high-volume air sampling
         (11).

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  VIII
 *9c2o-p-'-s
         NO
            '3
:                 Vapor
                    Phoit
                 ir
                                NO REACTION
                             0
OH
                             NO,
                        IX
NO.
Fig. 7.  Photodecomposition of parathion  (VIII) vapor alone
        or in the presence of ozone or dust particles (13,14)
                         10

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                 ATMOSPHERIC TRANSPORT OF DDT

         Borzilov V. A., Malakhov S. G., Osadchii A. I.
         Istitute of Experimental Meteorology, Obninsk
                Koropalov V. M., Nazarov I. M.
            Institute of Applied Geophysics, Moscow

    When studying pesticide transport, in particular, DDT transport,
we have to deal with phenomena of various scales. First, it is pes-
ticide dissipation at the instant of application. It corresponds to
the smallest scales, that is, the maximum transport is several kilo-
meters from the application site. Small height of application and
rough dispersity may be responsible for it. Second, it is pesticide
transport on soil particles at wind erosion. Corresponding regional
scales may be as great as hundreds and sometimes thousands kilometers.
An increase in scales is related to the height of dust cloud lifting.
An increase in the scale of transport of the particles not complete-
ly carried with turbulent air pulsations was estimated to be propor-
tional to the cloud height over the underlying surface, and that of
the completely carried particles - proportional to the square of the
height. From this it is not difficult to obtain the above-mentioned
difference in scales. However, these estimates are valid for suffici-
ently large particles which are completely absorbed by the underlying
                                 11

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 surface. For small particles of about I to 5 microns and pesticide va-
 pors which are poorly absorbed by the underlying surface the scales
 of transport substantially vary, and conditions are created to draw
 pesticides into the global transport. It is the maximum scale of the
 process.
    Let us briefly dwell on the advances and problems of investigati-
 ons in the levels of air pollution  and transport processes for each
 scale.
    I. Near zone. It has received the most study. Dependences have
 been found of the concentrations and transport on the size of aero-
 sols, method of application, pesticide volatility, meteorological
 conditions [_I-5]• Problems occured  are the following: variability
 of the results under different patterns of the underlying surface
 (arable land, grass, forest) and lack of the appropriate regularities.
    2. Regional scale. Results of the pesticide concentration measu-
 rements over the territory of the United States are given in J6J
which show substantial variability with time (the p,p'-DDT concentra-
 tions varied from O.I to 1500 ngr/nr). Higher levels were observed
 in the neighbourhood of rural areas at the instances which most of
 all favoured evaporation or occurence of the dense dust conditions.
 In the latter case the most part of the total amount of DDT found in
the samples was on dust particles. These problems were also discussed
in f 7! where pesticide concentrations in the atmospheric dust in Cin-
cinnati (Ohio) were given.  It has been found that the DDT concentra-
tion varied from 5 to 90 ppm. From the total amount of fallen dust it
has been estimated that every month from 45 to 270 g of DDT per km2
                                 12

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fell on the ground. Air pollution with pesticides in the regional
scale was also studied in the Soviet Union using as an example DDT in
Fergana valley and Khorezm oasis in Central Asia. Fergana valley is a
vast inter—mountain hollow with the intensive aeration from December
to April. Over the other periods the aeration conditions substantial-
ly deteriorate. Stagnant phenomena are rather widespread and can lead
to the greater pollution of the whole air volume of the valley with
pesticides. In addition to this, large areas in the valley are affec-
ted by strong wind erosion and there occur dust storms. Results of
the vertical profile measurements of DDT, DDD, and DDE concentrations
over the periods  of  slight winds  (experiments No.  I,  2,  3)  and strong
dust storm  (4-) are given in Table I.
                         o
    In the former case 10  kg of DDT was contained in the air volume in
the valley whereas in the latter one 10* kg was found. Experiment No. 5
was carried out in Khorezm oasis where stagnant phenomena were absent.
In the latter case the amount of pesticides transported from the area
                                              p
on aerosol particles was evaluated at about 10  kg. All the profiles
given in Table I may be described by the following formula
where  L/(.f)/is the concentration at the upper boundary of the surface
            layer;
            is the coefficient of turbulent diffusion;
            is the average rate of particle deposition.

-------
Table I. Pesticide concentrations (DDT, DDE, ODD) on aerosol
         particles in Fergana valley (experiments No. 1-4)
         and Khorezm oasis (experiment No. 5)
No. of : Height of
experiment : sampling
: (m)
50
100
200
500
400
I 600
800
1000
1200
1800
2500
100
200
500
400
600
3 800
1000
1200
1800
2500
: Concentrations x I0~"10 g/nr
:
:p,p'-DDT:p
120
94
70
85
41
20
17
15
15
5
4
270
190
140
140
68
48
40
28
56
6
,p'-DDD + o,pf-DDT:
24
17
10
15
4
2
4
5
5
I
2
50
10
20
10
8
5
6
5
5
2
p,p'-DDE:]TDDT
144
III
80
96
45
22
21
20
18
4
6
500
200
160
150
76
55
46
55
59
8
                           14

-------
200
300
5 500
1000
1500
2000
50
100
200
4
400
600
900
50
100
200
5 400
500
1000
66
42
34-
7
12
8
400
420
550
500
250
170
28
45
41
88
24
13
18
13
10
4
4
3
60
70
110
75
4-5
25
^m
10
15
21
10
5
8
4
5
2
3
4
30
25
57
30
24
24
.
10
II
10
8
8
92
59
49
13
19
15
490
515
717
605
319
219
28
65
67
79
42
26
                                                                o
    Knowing fc/ which in experiments Wo. I, 2, 3, 5 was about 5 m /sec.,
it is not difficult to find that the average rate of DDT deposition is
                                                                  o
approximately I cm/sec. This gives from 100 to 500 g of DDT per km  du-
ring a month that agrees with the data obtained by the American authors*
However, these estimates can not be made until the bulk of pesticide is
absorbed on large aerosol particles. If a pesticide is on the particles
of about I to 5 microns or in vapor phase this impurity behaves as weight-
less, and the mentioned distribution with height should not occur. This

                                  15

-------
means that we can not say definitely about  depositions from the measure-
ments of concentration profiles.  Their direct measurement is required.
This problem is to be faced when determining depositions at some distance
from the rural region where a rough-dispersive  fraction of aerosol par-
ticles is already absent. Pesticide strikes the ground either  due washing*'
out or through dry deposition of weightless impurity. There is a progress
in the studies of washing-out after the work [e"] where the coefficients
of washing-out were found for the vapor phase  of lindane, dieldrin,  and
DDT, It is worse with the dry deposition of small aerosol particles  or
with the  adsorption of pesticide vapors. Available are  only  the data  L.9J
on the rate  of DDT vapor deposition on water and glass  surfaces (5 x ^
sec. and  4 x ICT^cm/sec., respectively). Under actual conditions these dat*
for aerosol  and vapor components have not been obtained.  Not numerous
 f~IO, IIJ  showed that the rate of deposition dL depends on the pattern of
underlying  surface, the value of particle cohesion with the  surface, etc.
However,  it  has not been possible to obtain any regularities other than the
dependence  on the  dynamic wind velocity
 The flow on the  underlying surface  (JL= 0) turned out to be related to OL
 in the following way:
                                         -  air*c                (5)
                                    %^o             *-o
 However, all information on the surface properties  is  given as before
 by a  single parameter Q. We made an attempt to find an  explicit de-
 pendence of eL. on the underlying surface parameters being measured
                                    16

-------
[l2j. For this purpose the surface was represented by the layer of
vegetation with the height <5C and specific surface 
-------
tions. The major problem here  is  selection of the scales of averaging.
Both  diffusion coefficients and the rates  and directions of average
transport will change depending on this. We performed calculations
of the amount of DDT depositions  on the ground from Khorezm oasis
which agree qualitatively wiih the measured ones.
    2. Global scale. Analysis  of  the data  on the global levels of at-
mospheric pollution with persistent pesticides shows that these le-
vels  are very variable and substantially depend on synoptic conditi-
ons and air currents in the lower troposphere. According to the data
obtained by the American authors  which relate mainly to the Atlantic
ocean, the levels of DDT concentrations vary from 20 x 10    g/nr j
to 200 x 10    g/nr  l4« These levels were found on aerosol compo-
nent. As regards the pesticide content in vapor phase, there is no
agreement on this problem for lack of reliable techniques of separa-
tion of aerosol and vapor components.
    It was shown in work  JI5J that the toxaphene concentrations over
the Atlantic ocean in the area between the Bermudas and the U.S. sea
coast are due to the transport of this pesticide from the southern
states of the United States. Therefore the maximum concentrations were
observed in these areas when there occured the air masses of appropri-
ate origin. Prom this it follows that it is essential to know about
the air mass history when studying fluctuations of the global levels
of atmospheric pollution. We should like to place emphasis on the fact
that neglect of these factors can lead to wrong interpretation of the
                JtJL        ^2^>   r  1
experimental dataT^Trospero andTSCba [I4J report on several cases of
high and low values of DDT concentrations nearby Barbados and compare
these concentrations of pesticide and those of dust. Thus, on July 16,
                                 18

-------
1970 high DDT concentrations and Low those of dust were observed, where-
as on July 18, 1970, on the contrary, DDT concentrations were low and
those of dust were high. For reasons given it was concluded in this
work that the Sahara dust had a washing effect on pesticides over the
aquatoria of the Atlantic ocean. However, a detailed analysis of meteo~
rological situations showed that high pesticide concentration levels
occured at the instants of air mass advection from the territory of
the American continent. Low concentrations were related to the air
mass transport with trade winds from the Sahara, It should be noted
that the values of the background level of pesticide concentrations
serve as the basis for the development of corresponding balance mo-
dels and pesticide global circulation models. Taking into considera-
tion scant statistics of the background measurements and their high
variability, we should impose heavy demands on their interpretation.
                                  19

-------
                        References

 I. P. D. Gerhadt,  J. M. Witt. Proc.  12th Internat.  Congr. Entomol.,
    London, 1964.
 2. G. C. Decker et al. Journ. Econ.  Entomol., 42, 1950-
 2. Sh. T. Atabaev. Pesticides and  hygiene of the  environment  under
    hot climate conditions.  Izd-vo  "Meditsina" Uzbek SSR, Tashkent,
    1972.
 4. V. A. Gofmeckler, L. A.  Safonova.  J.  "Gigiena  i  sanitariya"  No. 9,
    1975.
 5. K. P. Makhon'ko. Proceedings  of Experimental Meteorology Institute,
    1 (42), 1974.
 6. C. W. Stanley et al. Env. Sci.  Tech.,  1971, vol.  5, No.  5.
 7. J. M. Cohen, C. Pinkerton. Adv. chem.  ser., 60,  1966.
 8. D. H. P. Atkins, A. E. J. Eggleton. Proc. Symp.  Nuclear  Techn.
    Environ. Pollution I. A. E. A.  Vienna,  1971.
 9. G. A. Wheatley. Pesticides in atmosphere. Environmental  pollution
    by pest (ed. by C. A. Edwards), 1973.
10. A. C. Chamberlain. Proc. Roy. Soc., Ser. A, 296,  V. 1444,  1967.
II. N. L. Byzova, K. P. Makhon'ko.  Izvest.  Akad. Nauk S. S.  S. R.,
    Physics of Atmosphere and Ocean,  2, No. 7» 1965.
12. V. A, Borzilov, N. B. Senilov.  Proceedings of Experimental Meteo-
    rology Institute, 2 (76), 1976.
13. R. W. Riserbrough et al. Science,  vol.  I59» 1968.
14. J. M. Prospero, D. B. Seba. Atm. Env.,  Vol. 6, 1972.
15. T. F. Bidleman, C. E. Olney.  Nature, Vol. 257, No. 5526, 1975.
                                 20

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    DISPAR1URE AND SOME JUVENILE HORMONE ANALOGUE
             PERSISTENCE IN THE ENVIRONMENT

    Weintraub P.P., Vylegzhanina G.F., Chernichuk L.L.,
                Konjukhova I.A.

           All-Union Institute for Biological Methods
                of Plant Protection, Kishinev
     Necessity of the working out  of new principles of plant
protection from  harmful insects, that provide purity of the envi-
ronment, has led to the investigations on pesticides of the third
generation - attractants and juvenile hormone analogues. A rather
voluminous material on their  field and production tests has been
accumulated. Much less is known on their stability and persistence
in the environment though these problems have to be solved as well.
     Attractant effectiveness depends on a number of factors
among which the presence of pheromone vapours in the air seems
to be the main one. Their  release rate in-foSYatmosphere is almost
not studied. Practically there are data on vapour pressure  and
some compounds volatility. There are no such data on disparlure-
cis-7,8 epoxymethyloctadecane- gypsy moth attractant as well.
     To get these data we used the classical method such as pure
dry air blowing over disparlure surface. The air was dried and
absorbed by passing through calcium chloride and activated carbon
                                21

-------
AG-3. Vapour catching took place in two successively connected
traps filled with   hexane and plunged into the  cooling mixture.
The  vessel with disparlure was put into the thermostate. Diepar-
lure was determined with  the help of gaschromatography. The re-
sults are given in Table  I. Pressure curve of disparlure vapour
and  volatility curve  calculated according to the least square
method  are of linear character and correspond to the equations
                 log P *  - 5,2757 + 0,02216
                 log P m  - 1,4248 + 0,02973
     These data gave possibility to approach a question of dis-
parlure determination in  air. At present, works on disparlure
identification in the air, its environmental metabolism are carried

                                    Table I.
        Vapour pressure  and volatility  of  disparlure  at
               different  temperatures
Temperature,
°C
15
20
25
30
35
40
45
50
: Vapour pressure, mm Hg :
column x I0~5
1,03
1,38
1,81
2,43
3,18
4,12
5,20
6,76
Volatility,
jie/i
0,09
0,13
0,20
0,29
0,42
0,60
0,86
1,21
                               22

-------
out in the laboratory* The results will be published.  At controlled
temperature (20-35°C) and relative air humidity (40-50$ and 80-
I00#) conditions volatilization rate of disparlure applied on
foil plates was investigated* Disparlure residue was determined
with the  help of gaschromatograpny. Obtained data, being statis-
tically processed, showed significant influence of temperature
and air movement on this process (Pig,I), The  importance of
humidity influence on the process of disparlure release wasn't
proved.
                   left
         50
         30
         10 '
                                      20° C
                                           8  h
           Figure I. Temperature influence on loss of
                     disparlure  from the foil plates.
                                23

-------
     Obtained data on the release  of disparlure   applied  on  filter

paper in laboratory and field tests  correlate well  (Pig.2).

     The results show that disparlure evaporates  quickly  and it

gives possibility to think that it will be absorbed  by soil  and

water.
            lost
   250
   200
   150
   100 '
   50
              10
20
30
                                     40
50
60  days
        Pig.2.  Disparlure loss from filter  paper in
                the field (a) and laboratory (b)  con-
                ditions.
                Air temperature in  the field is 20 -25°c,
                in thermostate - 25 C; wind  speed in the
                 field is 1,0-2,1 m/sec.,  in thermo-
                state - 1,5 m/sec.
                               24

-------
     Juvenile hormone analogues as plant protection means from
noxious insects are used  the same way as classical pesticides.
Applied compounds can   volatilize  , influenced "by sun, tempera-
ture, oxygen, air humidity, wind and other factors, that in  the
end can lead to the possibility of the environmental pollution.
Investigations that had been carried out on some juvenile hormone
analogues: altosar (ethyl- 3,7»H-trimethyl-dodeca-2,4-cLienoate},
altosid (isopropyl-II-methoxy-3i7,II-trimethyl-2,4-dodecadienoate)
and bromphenoxygeraniol  /I-(4-B-phenoxy)-3»7-dimethyl-2,6-octa-
diene/ - allowed to determine interrelation between vapour pressure
and altosar, altosid and bromphenoxygeraniol volatility and their
persistence time on treated surface (Table 2), Rather high vapour
pressure and altosar and altosid volatility lead to a high rate
of technical product  loss in the process of air blowing. At the
same time bromphenoxygeraniol is not enough volatile and it may
be expected that it will persist  longer in field conditions.
Light  can also cause degradation of these compounds. In our expe-
riments short time ultra-violet irradiation of bromphenoxygeraniol
(about I hour)  leads to its practically complete degradation. Po-
lar zone formation was identified by thinlayer chromatography.
     Sunlight irradiation of bromphenoxygeraniol gives analogous
results but the process is  retarded. In 18 hours 20,9# of the
compound in comparison with the initial amount was found on treated
surface. The study of temperature influence on bromphenoxygeraniol
showed that in closed volume it was stable in the range 30-80°C
(Pig.3). At temperatures higher than 80°C a significant decrease  in
                                25

-------
                                           Table 2

            Vapour pressure, volatility and persistence of

            some juvenile hormone analogues on potatoes
   Compound
      P mm
             :Vo- :   Persistence,
              la-         leaves
   Hg column  ?^~  -.        ..    ,,   N
:    °        :li- :Ini- :     time (days)
              ty,  tial
                                    mg/
                                    m-^
                     :amo- :   I  :  2
                      unt
                                        :  4
 Altozar
 Altosid
Bromphenoxy-
geraniol
20   6,04.IO~4   8,87  0,26 0,094 0,016 tra- not
                                        ces  de-
                                             tec-
                                             ted
20   5.25.IO"3  91,75  0,62 0,430 0,048 0,024
                                             0,005
     not deter-
     mined
                      59,0  7,45
                                     4,08 not
                                          de-
                                          ter-
                                          mi—
                                          ned
 the  compound content was noticed.  In field conditions wind is

 another factor that decrease bromphenoxygeraniol content. As a

 result  of the influence  of all studied factors in laboratory and

field tests on potato plants treated with emulsifiable concentrates


 of altosar (53# a.i. ),  altosid (65,5% a.i.)  and bromphenoxygera-

 niol (100$)  at rates 1,5 and 3 kg  per hectare, persistence time of

 juvenile hormone analogues on leaves was not  more than 3-5 days

 (Table  3). When rainfall occurs persistence time of altosar and

 altosid was  sharply reduced. Thus  under the influence of heavy

                                26

-------
        a
        g
        •H
        +»
        2
             100
              80
S 60
4*
            §
(0
4>
CD
0>
J3
4*
              40
             20
      Figure 3» Bromphenoacygeraniol lose from the
                glass surface as influenced by temperature
                and  wind*
showers in 24 hours only altozar traces were found  on  potato  leaves,
Altosid persisted a little bit longer. In  24 hours  about  50^  of
the compound was found, in  48 hours - 6,5$ as  compared with  the
initial amount.
     The study of persistence time of juvenile  hormone analogues
in soil is also of significant interest. In the laboratory  test
the influence of these factors on altosid  persistence  time  in the
soil was studied under controlled temperature and soil humidity
conditions. Investigations showed (Pig.4)  that  altosid degradates
                                 27

-------
                                      Table 3
          Persistence of altozar and altosid  on potatoes
          leaves   following treatment
Time , days
0
I
2
3
8
! Altozar,
1,5 kg/ha
0,340
0,170
0,004
traces
not de-
termined
mg/g
: 3,0 kg/ha
0,650
0,250
0,004
traces
not
determined
' Altosid,
- mg/g
3,0 kg/ha
0,500
0,380
0,240
-
0,060
quickly in the soil. Its losses were  in  average  98,6$ at  20°C  in
14 days after treatment. The increase  of temperature  to 30°C
reduces persistence time to 10 days,  the increase  to  40°C - to
4-6 days. The increase of relative soil  humidity from 1856 to
accelerates altosid degradation in the soil.
                               28

-------
    \% of loss
100
                          x -t-20°C
                          A -t«OO°C
                          o -t»40°C
                            -humidity 17,
                      _._ -humidity 22-
                                         10
12     14 days
     Figure 4.   The dependence of the altosid persistence
                in the soil  on temperature and humidity.
                               29

-------
     PREDICTING AND SIMULATING PESTICIDE TRANSPORT FROM AGRICULTURAL LAND:
                   MATHEMATICAL MODEL DEVELOPMENT AND TESTING

                               George W.  Bailey*
                               H.  P.  Nicholson*
                 United States Environmental  Protection Agency


      Pesticide transformation (7,  11,   14,   15,   16,   17,   19)  and  transport
 processes (3,  4, 9,  12,  13,  18, 20,  21,  22,  24,  25)  in soils have been defined
 and reviewed extensively.  These processes and their  interrelationships within
 the  soil  and  to  other  compartments   in  the environment are schematically
 depicted in Figure 1.  The transport of  pesticides from agricultural lands and
 other compartments  of  the   environment has  generated  public  apprehension
 concerning  the  fate  and   effects   of  these compounds.  Legislative mandates
 require guidelines to  be developed covering  pesticide use in order to  prevent
 or    minimize    water    pollution  resulting from  pesticide  transport  from
 agricultural  land  (26).    Mathematical models  and  computer   simulation
 techniques  rather  than the  trial and error approach  are the most viable
 alternatives to arrive at these guidelines (2).

      Computer  simulation models of the dynamic  multiple  rainfall-event  type
 are  being  developed  and   refined   to   describe  and predict quantitatively
 transport of pesticides  from soil  as a   function of   agricultural  management
 practices,   watershed  characteristics,   climatic  factors,  and properties of
 soils  and  pesticides.   These models  must  account for  the  behavior  of
 pesticides   in  soils  during each rainfall  event, and between rainfall events
 (2).   Processes  occurring during a rainfall  event and accounted  for  by  the
 model  are   downward movement and  net pesticide  transfer from the soil surface
 into  the  runoff  film, both in solution and adsorbed on eroded soil.  Processes
 affecting pesticide  concentration  and phase  redistribution  between  rainfall
 events  include  evaporation,   adsorption,   desorption, net pesticide movement
 under  conditions  of  unsaturated  flow,    and   chemical,   microbial,   and
 photochemical  transformation processes, volatilization, and organism uptake.

     Models  capable of  predicting at  two  areal scales are required:   (a) at
 the farm-unit  size watershed scale  (hectares) to assess the effectiveness  of
 agricultural  practices  and  alternative  control  measures  to control water
 pollution and  (b)   at  a  basin-scale   (square  kilometers)  to  predict  the
 contribution of multiple agricultural land use on water quality.
*Environmental Research Laboratory,  United  States  Environmental  Protection
Agency, College Station Road, Athens Georgia  30601.
                                      30

-------
     Steps  involved  in  model  development, testing and verification will be
discussed  in  detail  and  include  (a)  system  definition  (Figure  2)  and
formulation  of a conceptual model (2); (b) assemblage of a multidisciplinary,
multi-institutional research team and the integration  of  team  efforts;  (c)
selection,  design and instrumentation of 1-3 ha farm-unit size watersheds and
36-48  km   size  watersheds;   (d)  design   and   installation   of   highly
instrumented,   small  experimental  plots   (6  X  9  m)  to  study  pesticide
degradation kinetics as a  function  of  soil  properties  and  meteorological
parameters  (23);  (e)  development  of  data  handling  and computerized data
processing programs; (f) selection of experimental pesticides to "track"  four
major  modes  of  transport;  (g)  development of rapid, sensitive, integrated
analytical methods; (h) selection of  agricultural  management  practices  and
compatible  cropping  systems;  (i)  continuous  monitoring  of meteorological
parameters, soil, water and  pesticide  loss  during  runoff  events  and  the
determination  of  pesticide  spatial and tempera! distribution vertically and
horizontally over the watersheds for a period of  three  to  four  years;  (j)
development  of  algorithms  for adsorption/desorption, pesticide degradation,
volatilization, snow accumulation and snowmelt  and  pesticide  mass  transfer
coefficients  from  soil to runoff waters; (k) interfacing these algorithms to
the basic hydrologic and soil loss routines;  (1) programming, calibration, and
testing of the overall model;  (m)  sensitivity  analysis  of  selected  model
parameters;  (n)  specific  parameter  generation, e.g., adsorption/desorption
isotherms for  a  variety  of  pesticides  and  edaphic  conditions;  and  (o)
verification of the overall model at both areal scales in different geographic
regions using either "new" or split data sets.

     Four  basic  pesticide  runoff  models  have been developed and tested to
varying degrees  (1, 5, 6, 10) and one refined  and  updated  to  include  snow
accumulation, snowmelt runoff, and nutrient  transformation and transport  (8).

     The  structure  and  operation  (Figure  3) flow chart  (Figure 4), input/
output  requirements,  sample  results,  simulative  capability  and  observed
problems  or  deficiencies  for  a  farm-unit  size  watershed scale pesticide
transport model  (8) using the lumped parameters/statistical approach  will  be
discussed.

     Approaches and problems for model scale-up and interfacing to basin-scale
water quality model will be treated.

REFERENCES

1.   Adams, R. T. and F. M. Kurisu.  1976.   Simulation of  Pesticide  Movement
     on Small Agricultural Watersheds.  U. S. Environmental Protection Agency.
     In press.

2.   Bailey, G. W., R. R. Swank, Jr., and H. P. Nicholson.  1974.   Predicting
     Pesticide  Runoff  from  Agricultural   Land:   A  Conceptual  Model.   J.
     Environ. Qual.  3:95-102.

3.   Bailey, G. W. and J. L. White.  1964.   Review of Adsorption  and  Desorp-
     tion of Organic Pesticides by Soil Colloids, with Implications Concerning
     Pesticidal Bioactivity.  J. Agr. Food Chem.  12:324-332.


                                      31

-------
 4.    Bailey,   G.   W.   and  J.   L.   White.    1970.    Factors   Influencing    the
      Adsorption,  Desorption,  and Movement  of Pesticides  in Soil.   Residue Rev.
      32:29-92.

 5.    Bruce, R.  R., L.  A.  Harper, R. A.   Leonard,   W.   M.   Snyder,   and A.  W.
      Thomas.    1975.   A  Model for Runoff  of   Pesticides  from  Small Upland
      Watersheds.   J. Environ.  Qual.  4:541-548.

 6.    Crawford,  N.  H. and A. S.  Donigian, Jr.   1973.   Pesticide  Transport  and
      Runoff   Model   for  Agricultural   Lands.     EPA-600/2-74-013,  U.  S.
      Environmental Protection Agency, Athens,  Georgia.

 7.    Crosby,  D. G.  1970.  The  Non-Biological  Degradation of  Pesticides  in
      Soil.    In:    Pesticides   in the Soil:  Ecology,  Degradation and Movement.
      International Symposium  on Pesticides   in   the Soil.   Michigan   State
      University,   p. 86.

 8.    Donigian, A.  S.,  Jr.  and N. H.  Crawford.  1976.  Modeling Pesticides  and
      Nutrients  on Agricultural Land.  EPA-600/2-76-043, U. S. Environmental
      Protection Agency, Athens,  Georgia.   318 pp.

 9.    Freed, V. H.  and  R. Hague.  1973.  Adsorption, Movement and   Distribution
      of   Pesticides   in   Soil.   In:   W.  Van  Valkenburg   (ed.),  Pesticide
      Formulations, Marcel  Dekker, New York.  pp. 441-451.

 10.   Frere, M. H., C. A. Onstad, and H. N. Holtan.  1975.   ACTMO:   An   Agri-
      cultural   Chemical   Transport  Model.   ARS-H-3,  U.  S.  Department  of
     Agriculture, Agricultural Research Service.

 11.  Goring,  C. A. I.,  D. A. Laskowski, J.  W.  Hamaker,   and  R.  W.  Meikle.
      1975.  Principles of  Pesticide Degradation in Soil.   In:  R.  Hague and V.
     H.  Freed (eds.),  Environmental Dynamics of Pesticides, Plenum Press,  New
     York.  pp. 135-172.

12.  Green, R. E.  1974.   Pesticide  Clay-Water   Interactions.    In:   W.  D.
     Guenzi (ed.), Pesticides in Soil and Water, American  Society  of Agronomy,
     Madison,  Wisconsin,  pp.  3-37.

13.  Guenzi,  W. D. and W. E. Beard.  1974.  Volitilization of Pesticides.   In:
     W. D. Guenzi  (ed.), Pesticides in Soil and  Water,  American  Society  of
     Agronomy, Madison, Wisconsin,   pp. 107-122.

14.  Jordan,  L. S., W.  J. Farmer, J. R. Goodin, and B. E.  Day.    1970.   Non-
     biological Detoxification of s-triazine Herbicides.   Residue  Rev.  32:29-
     92.

15.  Kearney,  P.  C.  and  D.  D.   Kaufman  (eds.).   1969.    Degradation  of
     Herbicides.  Marcel Dekker, New York.  394 pp.

16.  Kearney, P. C. and J.  R.   Plimmer.   1970.   Relation  of  Structure  to
     Pesticide   Decomposition.     In:    Pesticide   in   the  Soil:  Ecology,


                                      32

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     Degradation and  Movement.    International  Symposium  on  Pesticides  in
     Soils.   Michigan State University,   pp.  65-71.

17.  Kahn, M. A. Q., M.  L. Gassman, and S.  H. Ashrufe.   1975.    Detoxification
     of  Pesticides  by Biota.   In:  R.  Hague and V.  H.  Freed (eds.), Environ-
     mental Dynamics of Pesticides, Plenum Press, New York.   pp. 289-329.

18.  Leonard, R. A., G.  W. Bailey, and R. R.   Swank,   Jr.    1976.   Transport,
     Detoxification,  Fate  and  Effects  of  Pesticides  in  Soil, Water, and
     Aquatic Environments.  Proceedings of Land Disposal of  Waste  Symposium,
     Soil  Conservation  Society  of  America,  Des Moines,  Iowa, March 15-18,
     1976.  In press.

19.  Moilanen, K. W., D. G. Crosby, C. J. Soderquist, and A. W.  Wong.   1975.
     Dynamic Aspects of Pesticide Photodecomposition.  In:  R. Hague and V. H.
     Freed  (eds.),  Environmental  Dynamics  of Pesticides, Plenum Press, New
     York.  pp. 45-59.

20.  Nicholson, H. P.  1975.  Agricultural Chemicals  and Water  Quality.   In:
     M.  C.   Blount (ed.)> Water Resources Utilization and Conservation in the
     Environment, Taylor County Printing Company, Reynolds,  Georgia,  pp. 214-
     227.

21.  Nicholson, H. P., A. R. Grzenda, G. J.  Lauer,  W.   S.   Cox,  and  J.  I.
     Teasley.  1964.  Water Pollution by Insecticides in an Agricultural River
     Basin.    Part  I.   Occurrence  of  Insecticides  in  River  and  Treated
     Municipal Water.  Limnol.  Ocean.  9:310-317.

22.  Pionke, H. B, and G, Chesters.   1973.   Pesticide-Sediment-Water  Inter-
     actions.  J. Environ. Qual.  2:29-45.

23.  Smith, C. N., R. L. Estes, T. W. Culbertson,  D.  M.  Cline,  and  G.  W.
     Bailey.   1976.   Design  and  Use of Small Runoff Plots and a Continuous
     Environmental Monitoring System to Aid in Modeling Pesticide  Attenuation
     Processes.  To be submitted to J. Environ. Qual.

24.  Spencer, W. F. and M. M. Cliath.  1976.  The Solid-Air Interface:  Trans-
     fer of Organic Pollutants Between the Solid and Air Phases.  In:   I.  H.
     Seffet   (ed.),  Adv. in Environmental Science and Technology, John Wiley,
     New York.  In press.

25.  Spencer, W. F. and M. M. Cliath.  1976.  Vaporization of Chemicals.   In:
     R.  Hague  and  V. H. Freed  (eds.), Environmental Dynamics of Pesticides,
     Plenum Press, New York.  pp. 61-78.

26.  U. S. Environmental Protection Agency.  1972.   Federal  Water  Pollution
     Control Act Amendments, PL 92-500, October 18, 1972.
                                      33

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       TRANSPORT  AND  FATE OF  PESTICIDES  IN  THE  ENVIRONMENT
SURFACE APPLICATION
                                                                         SURFACE APPLICATION
                                                                         AND SOIL INCORPATION
                                                                               DEGRADATION
                                                              VOLATILIZATION
                                                                   WIND |
                                                                   EROSION
                     VOLATILIZATION
                               I
                             INTERCEPTION
                                                                                   MAN
                                                                       _.|N    LAND DISPOSAL
                                                                      SORPTION I   SPIL'LAGE
                                                                      otmrTION |   ACCIDENTS
                                                                    AND DEPOSITION INDUSTRY
                                                                                  SEWAGE
 MAN
SPILLAGE
ACCIDENT
INDUSTRY
SEWAGE
1 PHOTOCHEMICAL
    AGGRADATION
             DECAY EXUDATI
      ABSORPTION-^ATiR"
                                            ADSORPTiON    ESORPTN *
                                                               SUBSURFACE  WATER
      CHEMICAL AND BIOLOGICAL
      DEGRADATION
                                    HARVESTED CROP
                                  i CHEMICAL AND BIOLOGICAL
                                  DEGRADATION
         Figure 1.  Transport and fate of pesticides  in the environment (18).

-------
U)
Ul
                                                                                         [^VOLATILIZATION)

                                                                                           OROANISM UPTAKE)
                                                       PESTICIDE  CONCENTRATION
                                                       AVAILABLE FOR
                                                         AND TRANSPORT
           Figure  2.
                                    ' MOVING "\
                                   '•^DISSOLUTION/
                                               DESORPTION FROM
                                              v SOIL PARTICLES  /
                          \DIS30LUT ION/
                                     DIFFUSION
                                    \HtTERCH AN«E/
                                                    LEGEND
                                                   	 DURING RAINFALL EVENT
                                                   	BETWEEN RAINFALL EVENT
                                                   	 PRIOR TO FIRST RAINFALL EVENT
                                                   	 PROCESS
                                                    D  FACTOR
Processes  and  factors which determine  the concentration of  pesticide  available  for
runoff from agricultural  land.   Climatic factors lying outside  of the dashed lines
are  exogenous  with respect to the soil-pesticide system  (2).

-------
           INPUT
           OUTPUT
U)
MAIN
EXECUTIVE
PROGRAM
                                                            -^CHECKR CHECK INPUT SEQUENCE

                                                            -*-NUTRIO READ NUTRIENT INPUT
                                                              OUTMON, OUTYR  OUTPUT SUMMARIES
                                     LANDS
                                     HYDROLOGY
                                     AND SNOW
                                     SEDT

                                     SEDIMENT
                                     PRODUCTION
                                          PEST
                                                    YES
              NUTRNT
              NUTRIENT TRANSFORMATION
              AND REMOVAL
YES
                                              NO
      NUTR
                         ADSRB
                         PESTICIDE ADSORPTION
                         AND REMOVAL
DEGRAD
PESTICIDE
DEGRADATION
                            Figure 3.  ARM model structure and operation (8).

-------
TOTAL U
AND DEI
/

\ APPLICATION /
PTAKE
iRADATION ,
APPLICATION
p MODE
SOIL INCORPORATED p/N ON S
IIIPFIPF IPPI IFn '

tiPTivr tun _. riiDFIPF P/N 5URFACF P/N PESTICIDl
-1 UrlNHL AWU ^ 1 iUKrdUt r/n M 	 w aunrnfci .•.'•; r
DEGRADATION STORAGE INTERACTIONS

INFILTRATION
i
...... wr -un ' 	 *• iippcp jnuf p/y UPPFI 70NF P/M ^/" '" '
- UPTAKE AND UPPtK ZONt r7N < — ». u.vJ,vLrl??i7iuc 	
DEGRADATION « STORAGE INTERACTIONS
PERCOLATION
t
UPUKE AND „ ILOWER ZONE P/N ^_^ LOW
- DEGRADATION * 1 SIORAGE INI

KEY
( INPUT )
FUNCTION
| STORAGE ]
P- PESTICIDE
.EDIMENT M-MUTRIEMT r
PARTICLES ^
VERLAND FLOW r
NTERFLOW ^

ER ZONE P/N
ERACTIONS
I
                                                     LOSSES TO GROUNDWATER
                                    TO STREAM
Figure 4.   Pesticide and nutrient movement in the ARM model  (8).

-------
           GENERAL LAWS OF THE MIGRATION OP PESTICIDE
              RESIDUES IS THE DELTA LANDSCAPE UNDER
                          IRRIGATION
                         M.S.Sokolov
      Institute of Agroehemistry an'* Soil Science of the USSR
                     Academy of Sciences
                          Puschino

      Migration and transport of both,  the atoms  of the  elements
 and  the natural compounds are,  in the  opinion of T.I.Vernadski
 (1927)* one  of the geochemical laws of biosphere* This  universal-
 ly observed  process has  lately been involving various zenobiotics
 introduced artificially  into the landscape,  e.g.  pesticides,  the
 products of  their transformation and destruction* V.A.Kovda (1373)
 ouggests that  the process of migration determines diverse  aftereff.
 ects caused  by biocidea  and  other xenobiotics (landscape-regional,
 regional-basin and global ones)  in the biosphere.
      Migration can be  characterized as a complex  of processes  of
 redistribution of xenobiotics  (and the products of their trans-
 formation) in  space and  in time  (A.E.Foreman,  1933; V.L.Anok>*in,
 1974)* In the  process  of redistribution a pesticide can be  trans-
 formed into various products* The  leftovers  of the parent  com-
 pound together with the  products  of  its  transformation  are  de-
 fined aa pesticide  ^/esidues.
     Zenobiotics  are mainly  transported  in aquatic medium,  in
 atmosphere and through organism migration. In the aquatic medium
 xenobiotics are transported with the surface  and  subsurface
 runoff. In the first case, the compounds  are  transported in the
 form of a liquid runoff  (true solutions  of electrolytes, compounds
with neutral molecules, and colloidal  solutions),  and in the form

                                38

-------
of a solid runoff (suspensions,  aorbed substances with precolloidal
particles or organo-mineral colloids). The subsurface transport
of xenobiotics is carried out principally in the form of a liquid
runoff (V,A*Kovda, 1974; M.A.Glazovskaya, 1972)* Under the condi-
tions of the delta irrigate* landscapes the water runoff is
controlled, the surface runoff to a greater, and the subsurface
runoff to a lesser degree. The transport of large water masses
by these pathways is, consequently, of a clearly defined
seasonal character.
     Transport of toxicants by the subsurface runoff is usually
underestimated on the account that the rates of ground water flows
ar« incomparable to the water velocity in rivers or canals of  the
open irrigation system. That is really so, and under the  condition^
of the time-limited parametres the intrasoil transport may be  neg-
lected, especially, in case of a point pollution source.  Under the
conditions of large rice irrigation systems the coefficients of
land-use reach maximum values (over 50$) as well as tne crop rota-
tion saturation with rice (60-70#). And  the rice is being treated
with the same preparations for laany years. That is why the subsur-
face transport of pesticide residues here should always be taken
into consideration. Evidently, the larger is the territory treated
with pesticides,the greater its evaporation and filtration losses,
the heavier would be the share of pesticide residues trasported
with the subsurface runoff. Thus, in the USSR as a whole  the sub-
surface runoff calculated per water constituent amounts to only
25$, while the share of the total ion subsurface runoff is over
5G$. Even more dramatic figures have been found for the internal
drainage basin of the Aral sea which has 83% migrants per subsur-
face ion runoff ("Migration of Chemical  Elements in the Ground
Water of the USSR. Laws and Quantitative Estimation", Moscow,  1974)
     The runoff driving force is determined with the help of the
gradient of water level in a water source (a river, an irrigation
canal, a water reservoir) and in a water-receiving reservoir  (a sea
a lake, a river, a trunk canal). While approaching the water-receiv-
ing reservoir the absolute valueu of water levels in  the  open  sys-
                               39

-------
 tern diminish reaching zero and negative values at some areas.Ope-
 ration of the hydrotechnical constructions (pump house stations),
 however,  maintains  the surface runoff at the required level. The
 transport of substances by the subsurface runoff i_ consequently
 slowed down. A similar picture is characteristic of the period of
 intensive use of irrigation systems (the growing season).  After
 harvest only a small part of the surface runoff (unlike the subsur-
 iace runoff) ie retained in some elements of the natural hydrogra-
 phic system. The action cf the surface and subsurface runoff results
 in the creation of  a ~one of secondary accumulation (redeposition)
 of pesticide residues in the natural  conditions (V.A.Kovda,  1973;
 B.P.Strekozov et al., 1977;  M.S.Sokolov,  1977).
      The  mechanisms of toxicant  transport  with surface  and  subsur-
 face runoff are greatly influenced by nature  and by peculiarities
 of ground composition.  V.L.Anokhin (1974)  distinguishes the  follow-
 ing four  casoe:  free transport of the migrant without delay in  the
 filter layer;  mechanical filtration of the suspended coarse-dis-
 persed particles of the migrant-carrier (colmatage);  coagulation
 and sedimentation of the colloidal-dispersed  particles  on the
 contact border of the liquid and  solid phases;  dissolving of the
 component  on the solid  phase surface  (leaching)  or  its  reverse
 process, chemisorption.  T.B.Zaitsev (1975)  distinguishes several
 principal  types  of  ground water occurrence  to  be  considered  in
 rice irrigation  with flooding, and two  basically different regimes
 of ground water  under the flooded rice  field:  with  Joining irriga-
 tion (surface) and  ground waters  and  a  non-joining  regime during
 the whole growing season.
     Many scientists  investigate  the  peculiarities  of vertical
migration of pesticides and  other zenobiotics  in  the ground with
undisturbed structure using  the techniques borrowed from the soil
science, «.g. the method of  the so-called  "flooded Biter" , or
 "flooded sashes". We also employed this method and got some infor-
mation  on the peculiarities of movement of the main herbicides
applied in rice breeding and certain products of their transforma-
tion, over the water-saturated profile of the meadow-chernozbm-
                               40

-------
like aoil (M.S.Sokolov et al., 1974). On the basis of these data
and experiments on sorption under the static conditions we arrived
at the conclusion that any chance of the herbicide residues enter-
ing the ground water is practicably excluded. However, the experi-
ments on water analyzing in sash drainage canals (M.S.Sokolov et al
1974) and the experiments with observation wells drilled in the ric
field and nearby, at different depths (from 0.5 to 2.5 m) as well
as the use of special appliances for sampling interstitial soluti-
ons of the upper undisturbed layer of the ground (at 0,2-0.5 m
depth) proved the contrary (Seveorov et al*, 1975; M.S.Sokolov et
al.,1977). Comparatively small quantttLes (up to \% of the introduc-
.-d dose, in average) of the residues of propanil and colinate
migrate with the irrigation water along the pores, cracks or ca-
vities into the lower-lying soil horizons* This fact emphasizes
the necessity of taking into account both, the microstrueture and
the macrocomposition of the soil and subsoil while characterizing
the soil profile,Transport of water and water-contained substances
downward (along the soil profile) is achieved due to the gravity
(percolation, filtration) and diffusion forces. However, the con-
tribution of the latter into the migration process is negligible.
     The rate of the vertical percolation is determined by  the
value of the porous spacing in the ground, peculiarities of its
structure,  s well as by the level and type of ground water occurr-
ence (V.B.Za-Usev, 1975; I»Q.Aliev, 1976). In general, the  dis-
tribution of the migrant along the soil profile and over various
ground-water horizons is described with the help of the exponenti-
al law. The distribution zone of the migrant usually lags behind
the water movement even under the leaching irrigation regime due
to the non-saturation of the soil absorbing complex in the  thick-
ness of porous spacing.
     The irrigation system and various types of drainage intensify
the intrasoil (spatial and vertical) transport of pesticide resi-
dues thanks to the lowering of the ground water level. Observation
wells drilled perpendicular to the trunk canal helped to examine
the dynamics of the herbicide residues content in the ground water.
                               41

-------
 It appeared that  in the close vicinity of a canal (a drain) the
 substance concentrations in the ground flovr and in the canal water
 are close (M.S.Sokolov et al«, 1975;  A.P.Chubenko, B.P.Strekozov,
 1976;  A.P.Chubenko,  1975; 1976). That can be observed in cases
 when +he  flows  of ground water and canal water are comparable. In
 case of the ground water flow polluted with herbicide residues,
 moving along ths  natural slope of the locality towards water in-
 takes, the content of  toxicants in the subsurface runoff is not
 directly  connected with their concentration in the open collector
 system. The fact  is explained not only by the difference in the
 water flows but also byihe different  buffer action and self-purifi-
 cation capacity of th^ landscape. The buffer action of these two
 processes is stipulated by abiotic and biotic  factors  (A.H.TJurju-
 kanov,  1964;  A.I.Pertlman,  1973). Their action  is very often mani-
 fested In the natural  and irrigation  water, in  soil and subsoil,
 in the  bottom deposits and biota, simultaneously and  in correla-
 tion.  Among the abiotic factors the main part in the  buffer actioz
 Js  played by sorption,  among  the biotic factors, by metabolic
 processes.  The  buffer  action  regulated by the abiotic factors
 aharplj decreases with the  reduction  of water exchange, in the
 absence of insolation  and during salinization.  With the lowering
 into the  soil and subsoil the  role  of the bioxic factors in the
buffer action decreases  too.  Evidently,  the conditions of self-
purification  of the ground  water unlike  those of the  surface water
are extremely unfavourable  on the account of  constant temperature,
increased  salinity, impoverished microflora,  absence  of substrates
for co-oxidation, extreme values  of pH,  absence of conditions
necessary for photochemical transformations and, lastly, more pro-
nounced anaerobic  conditions.  All this promotes a prolonged reten-
tion of toxicants  in the  ground flow.  Unfortunately,  these speci-
fic conditions  are never considered while staging modelling expe-
riments on the  subsoil*
     The  transport  of  pesticide residues with the surface solid
runoff and the  fate of the  migrant  "buried1* with the  benthal sludge
                               42

-------
and eubcolloidal particles of the shelf and estuarine zones of
water intakes of the returned irrigation water are not sufficiently
studied either* It turned out that propanil and 3,4-DCA 'the prin-
cipal product of herbicide transformation) are effectively aorbed
by the sludge and clay fractions of the meadow-chernosern-like
soil (M.S.Sokolov et al*j 1374)* Th« toxicants in the sorbed state
are transported over large distances along the units of the irrl?i~
ed system where the greater part of the accumulation and redepop-
tion of the suspended matter occurs (B.P.Strekozov et el., 1975).
However, the heaviest fraction settles down in the  so-called cla-
rification area of the water intakes, in the absence of water
current* is the absolute content of propanil residues in the benthit
deposits turns to be small (0-0.7 mg/kg), their concentration in
the firth w«ter is much lower than the maximum permissible one
(B.P.Strekozov et al., 1977; M.S.Sokolov etal., 1977)* But due to
the unfavourable conditions of decomposition and desorption  there
should go on a slow but constant process of toxicant cumulation*
Therefore, under the circumstances, it is necessary to anticipate
the immediate and remote aftereffects of this cumulation*
     To make clear the mechanism or at least the essential feature
of the self-purification process of the landscape and its separate
elements, balance experiments are required* As a result of such
experiments on propanil (M.S.Sokolov et al., 1976) and MCPA
(Dr. D.Crosby, 1975) Important and interesting information was
obtained that permits to trace the fate of a herbicide in the
landscape and to even replanlhe strategy of its application* Evi-
dently, only the full-scale experiments can provide us with  the
reliable data on pesticide residue transport with the surface and
subsurface runoff, as Well as with the data on self-purification
of the landscape and its elements. These are labour-consuming and
costly experiments that require careful preparation. Simultaneous-
ly we should not neglect important supplementary information that
is to be obtained through experimental ecotoxicological modelling
(M.S.Sokolov, 1975). Practically, only these methods will make us
                               43

-------
capable of solving the tasks of a multifactor experiment.
     As. on the whole, the anthropogenic process of the transport
of pesticide residues in the landscape and the natural process of
self-purification are of an oppooitely directed and seasonally ex-
pressed character, it is extremely important to correctly forecast
the conditions limiting these processes* The role of the natural
complex process of self-purification can never be overestimated*
Therefores it is necessary, not only to study and develop the me-
thods of calculating the levels of maximum toxicant load-capacity
of the landscape (Tu.A.Izraelle, 1974) and the most favourable
conditions for self-purification (G.K.Gryzlova, 1Q75)t out also to
store the data on the laws of transport of various pollutants.
     A well-known Soviet geochemist and geologist, academician
A.E.Foreman wrote that the phenomenon of transport of elements
appears to fee the most important object for geochemical research,
as it determines the whole association of the nature phenomena,
their diversity and peculiarities. In the same way, the research
in the field of ecotoxicology of pesticides and other xenobiotica,
examination of their fate, transformation, forms, pathways and
aechanisms of transport seem to us extremely important and nece-
ssary from the point of view of rational utilisation of the natu-
ral resources of biosphere and its conservation.
                   Reference

govda V.A. Changing Trends in the Biosphere and in Biogeochemi-
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Soderquist C.J., Crosby D.Gr^issipation of 4-chloro-2-methyl-
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Sokolov M.S. et al. (1974). Rational use of water resources
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     World*s Fair, Spokane, USA, 5 p.
                               44

-------
AJIHSB A.I . ( Aliev, I.G>, 1976. B KH.  "Xraaw noqs  pucoaHX nojievi".
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    pa£Mon30TonoB B JnaHflina$Tax. M., ATOMMa^aT,  c.I44.
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           M.A. (Glazovskaya,  M.A^, 1972. TexHofiHoreowu - w
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              cpe,Ey H o(5ocHOBaHne MOHHTOpuHra. B  KH.  "
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     I -25.
      B.A.  ( Kovda, ?.A), 1973. PeoxHMHH no^BbodpasosaTejibHHX npo-
           . B KH. "OCHOBH yqeHHH o noxjBax", q.E,  117^-199.
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    c.128,  133-159.
HeBSOpOB M.M. , UiaHflHdHH B.E., COKOJIOB M.C.  (Nevzorov,  M.I., Shan-
 dy bin,  V.B., Sokolov, M. S.     ), 1975.  YcTpoviCTBO ,iyw OT6opa nopo-
    BUX paCBBOpOB H3 nOTOGHHOPO C^OH H nOACTHJiaiC^MX TOpHSOHTOB.
             , H3o6peT6HHflf npoMuoiJieHHbie oOpaai^bi  H Tosapme
                         y fi? 31.
          A.M. (Perelman, A.I.}, jg/3. reoxmoifi  6HOC$epu.  M.,  "HayKa
    c.166.
                                45

-------
COKOJIOB W.C.  ( Sokolov, M.S), 1975. 3jieweHTH 8KOTOKCHKOJiornqecKoii
     MOflejiH 9Kcnpeco-H3y?eHHs cyAi>6u djioipwoB B jjanipaipTe.  3 KH.
     "IfexaHMSM fleiiCTBiw repdHmwoB H cMHTeTiwecKHX peryjiflTOpos pocxa
     pacTeHHH H MX cy#b6a B 6noc$epe", ^.H, nynpmo,  c.71.
COKOJIOB M.C.  H ,np.  (Sokolov,  M.S. et aaj, 1974. llOBeAeHMe HCKOTOpux
                  B  yCJIOBiiaX pHCOBOK OpOCHTejIbHOVI CHCT6MU.
COKOJIOB M.C. H .Tip.  (Sokolov,  M.S. etai), 1975. Oco6eHHOCTH
      nponaHnna, HJiana, 2M-4X,  2,4-^0, B picoBux opocHTejibHHX cMCTeitax
      ..yoaHH. XHMUS B  cejitcKOM XOSSMCTBC, N? 3.
COKOJIOB M.C. H Ap.  (Sokolov,  M.S. et a3), 1976. HcweanoBeHHe H wnrpa-
                    H  ero MeTa6ojiMTa 3,^-flnxjiopaHHJiHHa B opomaeuow
               . iiss.  AH XCP,  cep,  dHOJionraecKaa, HS 2.
COKOJIOB i*i.C., fcmp JI.J1., HydeHKO  A. II.  (B neqaTu) -(Sokolov, M.S.  et
      Tep6HUi«H B pHGOBOflCTse. M. , "Hayica11,         al.) -» in  press
Ci-peKOsoB E.fl. H Ap.  (Strekozov,  B.P.etal), 1974. MwrpauHa H npespa-
      nponaH.Hfla B PHCOBOM opocHTeju»Hoii CHCTeiie. BojuieTeHt Hayqno-
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                pica, BHD. XQ, c.33.
          B.n., fytieHKO A.O., COKOJIOB  M.C.  (B neqaTH) - (&«vokocovt
     B.P. ).  MnrpauHH H pacnpe^ejieHHe ocTaTKOB nponannna B AOHHUX
               flpnasoBCKHX jotMaHos. MaeecTHfl AH CCCP, cep. 5nojiorH-
          A.H. ( TJurjukanov,A.H),  1964.
       oapbepu H MX pojib B unrpai;iQi XHMJWGCKKX ajieMeHTOB B reorpa-
       $mecKoti o6ojio^ace SSMJIM. MSB. Bcec.  reorpa$.o6at-Ba, N^ 4.
        A.E. (Persman, A.B^, 1933-1939.  PeoxMLOia,. T. 1-4, JL,
        A.D., CTPSKOSOB B.n.  (Chubenko, A.P., Strekozov, B.P),
        I9>6. MMrpamw anaHa  s ycjiOBHax PHCOBHX opocHTeJibHux
                        B  jejibCKOM xos^CTBe*  ^ 9, c.69.
                                 46

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    CERTAIN LAWS OF ORGANOCHLORINE PESTICIDE REDISTRIBUTION
            IN THE SOIL-WATER, SOIL-PLANT SYSTEM

        G. G. Zhdamirov, E. E. Popov, and N. F. Lapina
        Institute of Experimental Meteorology, Obninsk

    It has been known that organochlorine pesticides are used by
man for about 25-35 years, first - as a means for combatting insects-
carriers of diseases of people and domestic animals and then - for
plant protection on a large scale. Rather recently, as highly sen-
sitive methods of analysis are mastered, the scientists have con-
centrated their attention on the fact that pesticide residual amo-
unts are globally being found everywhere - in plants, soil, water,
birds, fish, and air. During the years that followed a danger of
further environmental contamination with stable pesticides caused
certain limitation (and for DDT - a ban) of their use and led to
the widescale scientific search for understanding the process of
transfer of these pesticides in the environment, their fate in va-
rious phases of the environment, and their hazard for man and biota
as a whole*
    Organochlorine pesticides belong to those chemicals which are
the most persistent in the environment. This property primarily ac-
                                 47

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 counts for the  fact  of  their  global finding in all phases of the en-
 vironment.  Studies of the pesticide dynamics in the cycle
              I                              I
             water         -*~ soil        -*~ air
                             biota
and acquisition of the quantitative characteristics of their redist-
ribution in various phases are of evident interest, first - from the
viewpoint of predicting variations of the levels of pesticide resi-
dual amounts in the media mentioned, and second - because in the
long run it will provide more information on pesticide persistence
in the environment as a whole. In the cycle being considered soil
is the major component of the biosphere determining the adjacent
medium contamination.
    This paper presents the experimental data on pesticide evapora-
tion from water and soil, and their transport into plants. Investi-
gations were carried out with the pesticides which had been most
widely used in the previous years, their physical and chemical pro-
perties being well studied, such as DDT and BHC. In the last few
years the process of pesticide evaporation from soils and various
surfaces has received considerable attention. It has been found that
evaporation and vapor-phase transport are important elements of dis-
sipation even of the so called non-volatile pesticides, such as DDT,
dieldrin, and others. We set a problem - to find the simplest method
                                 48

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of estimating pesticide evaporation from soils, water,  and surfaces.
Earlier it has been found that the rate of pesticide evaporation
from the moist soils and moistened surfaces is considerably higher
than that without moistening  fl-^l • Acree and co-workers p,6J found
that DDT is capable of co-evaporating in considerable amounts with
the water from water solutions. These and other works indicate that
apparently, the rate of pesticide evaporation can be determined quan-
titatively from the rates of water evaporation from the surfaces of
soil, water, and other objects.
    In the first stage of work we have obtained a quantitative as-
sessment of the DDT and BHC evaporation from the water solutions.
The DDT and BHC concentrations in water were investigated over the
range I to 130 mg/1 for DDT and O.I to 1000 mg/1 for BHC. The expe-
riments were carried out in the thermostatic vacuum installation.
The products of evaporation were  freezed out in the trap being
cooled by liquid nitrogen. The pesticides were extracted by n-hexane
and analyzed by the method of gas-liquid chromatography. Over the
range of low DDT concentrations the experiments were conducted with
    T/l
the x C-labeled pesticides. The results obtained are presented in
Figures I and 2. It is evident that the curves of relationships bet-
ween the evaporated pesticides per gramm of water and their concent-
rations in water have two distinctive portions: one adhered to linear
dependence on pesticide concentration in water and the other indepen-
dent of it, that is the portion of saturation. The amounts of co-eva-
porated pesticides per gramm of water on the portion of saturation
at 20°C are 0.31, 12.6, and 42  ug for p^'-DDT, ^-BHC, and 
-------
respectively.  For this portion, our experimental data are rather
adequately  correlated with the values calculated theoretically with
the known relationship which is used in steam distillation of two
mutually  insoluble liquidst
                                  MAPA
                         •B
where W,M, and P are  the  weight, molecular weight, and pressure of
pesticide and water saturated vapor, respectively.
          OJ
           o
           H
              2.0 -
              1.8 -
              1.6 _
           P.
           P
           60
              1.0
                                  s  * • *  •—r
                 0       0.5     1.0      1.5    2.0    2.5
                            logIO(mg p,p'-DDT/1 H20)
    Figure I. Co-evaporation of p,p'-DDT with water at  various
              temperatures (triangles  -  radiometric method of
              analysis, circles -  chromatographic method).
                                 50

-------
o
 t\J

«  2

to




I

bC
o
                                               o     o
                                                           _?	•   • oC - BHC
                                    2               3



                                  logIO(mg BHC/1 H20 x 10)
                                                                         - BHC
  Figure  2. Co-evaporation of (P -BHC and oi -BHC with water at  20°C,

-------
     The  temperature  characteristic  of the p,p*-DDT co-evaporation
 on the portion of  saturation  over the temperature interval 10 to 40°C
 shows that  this formula  is well satisfied already over the range JO
 to 40°C  (Table  I).
     Thus, our  data did not confirm  the results obtained by Acree and
 Bowman,  namely the alleged 3-8-times increase in co-distillation of
 DDT with water.  When calculating the pesticide loss by evaporation
 from the water solutions based on the amount of evaporated water,
 it is necessary to take account of  both portions, respectively, pro-
 ceeding  from their concentrations in water.
     The  field measurements of the DDT evaporation rate under its
 surface  application  in the soil showed that on the first day the
 average rate of  DDT  loss through evaporation amounted to approxi-
mately one percent per hour at the  rate of 2 kg/ha. DDT applied in
the  10 cm soil  layer disappeared at the rate which was characterized
                                                    —2    —T
by the first order process with the constant of 5*10   day  . So
large a value of the constant is possibly accounted for by the sub-
stantial soil loosening and climatic conditions of the process be-
ing studied.
    The other direction of our investigations is to determine the
quantitative characteristics of pesticide transport into various
species of plants and their distribution in the aerial and root
parts of plants depending on their content in soil.
    The problem of pesticide sorption by plants from soils was dis-
cussed in several publications [?-s],  this problem being considered
from the viewpoint of both hygienic  rationing of pesticide appli-
                                52

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                    Table I. Theoretical and experimental values of the co-evaporation of p.p^-DDT,  J"-BHC,

                             and Ct-BHC with water
Ul
U)
Pesticide




p,p'-DDT
p,p'-DDT
p,p«-DDT
p,p'-DDT
f-BHC
d-BHC
Temperature ,
°C



10
20
30
40
20
20
Pesticide
vapor
pressure ,
mm Hg

2.61 x I0~8
1.48 x I0~7
7.18 x I0~7
3.23 x IO"6
9.4 x lO"6
_
Water
vapor
pressure,
mm Hg

9.2
17.4
31.6
54.9
17.4
17.4
Co-evaporation,

theoretical
( calculated
with equation I)
0.056
0.16
O.44
1. 15
8.76
-
mfcg/g o^O

experimental


0.17
0.31
0.58
1.02
12.8
42

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 cation and their metabolism,  accumulation  in plants, etc. However,
 there  are  rather few quantitative  assessments  characterizing the
 degree of  pesticide  sorption  by plants depending on the levels of
 their  concentration  in soil.  The work by Voerman and Bessemer  [9]
 appeared to be  one of the most significant in  this field. The au-
 thors  provided  a quantitative information  on the  degree of sorption
 of several pesticides (dieldrin, lindane,  DDT) from the soil by
 plants (grass)  and their distribution in the aerial and root parts
 of plants.
    Our experimental data are concerned with the  sorption of DDT
 and related compounds by such plants as barley and clover. The con-
 centrations of  DDT and related compounds were  investigated over the
 range  2 to 8 mg/kg of soil, technical DDT  containing 74.3# PiP'-DDT,
 22^21  o,pf-DDT,  p,pf-DDD, and J>.7%> p,p'-DDE. The  experiments were
 carried out in  the vegetative pots with three  repetitions. In a
 month  for  barley and in two months and a half  for clover the samples
 of soil and plants were collected, the vegetation being analyzed
 in parts:  roots  and  green mass.
    The results  of investigations are given  in Tables 2,3 and in
Figures 3,4. They indicate that the degree of  the DDT and related
 compounds  entering the plants depends on the rate of pesticide ap-
plication  into  the soil. The pesticide accumulation in the green
mass of plants  slightly varies over the range  of  rates being stu-
died - within the limits of 6-1595 (in relative units of the51 DDT
per kg of  green mass to the^DDT per kg of  soil). A picture of tha
 root system sorption is completely different. The ratio of concent-
                                54

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Table 2. Dependence of the DDT products accumulation (mg/kg of dry weight) in
         roots and stems of barley on the rates of pesticide application in the
         soil. Duration of the experiment is I month.
Rate of
application,
mg/kg of soil
2


4


6


8


Object of
investigation
Soil
Hoots
Stems
Soil
Roots
Stems
Soil
Roots
Stems
Soil
Roots
Stems
p,p'-DDT
1. 00
7.21
0.24
2.04
19.71
0.20
5.16
34.4
O.II
4.52
57.5
0.55
o,p'-DDT
plus
p,p'-DDD
0.55
2.68
0.04
0.67
8.40
0.05
1. 15
15.3
0.08
1.53
24.2
0.12
p,p'-DDE
0.04
0.18
0.02
0.06
0.78
O.O2
0.09
1.53
0.03
0.17
2.50
0.03
XDDT (roots) 21 DDT (roots)
rate of application ]>IDDT (stems)
5.03 33.6


7.22 100.7


8.55 160.0


10.55 169.0



-------
Table J. Dependence of the DDT products accumulation (mg/kg of dry weight) in
         roots and stems of clover on the rates of pesticide application in the
         soil* Duration of the experiment is 2.5 months.
Bate of DDT
application,
mg/kg of soil
2


4


6


8


Object of
investigation
Soil
Roots
Stems
Soil
Roots
Stems
Soil
Roots
Stems
Soil
Roots
Stems
p,p'-DDT
1. 18
6.1
0.18
1.67
15.0
0.13
3.II
29.3
0.15
4.4
44.0
O.I?
o.p^-DDT
plus
p,p'-DDD
0.37
2.6
0.04
0.61
7.6
0.03
0.79
12.7
0.06
1.8
19.3
0.06
p.p'-DDE DDT (roots)
rate of application
0.037 4.5
0.32
0.02
0.08 5.9
1.0
0.012
0.16 7.4
2.4
0.013
0.21 8.3
3.1
0.02
DDT (roots)
DDT (stems)
37.5


I3B.O


201.8


265.8



-------
rations of the sum of DDT products in roots to those in soil which
is conventionally called the transport coefficient increases in a
greater degree as the content of these products in soil increases.
The data obtained by the authors mentioned above are shown in Fi-
gure 3 as triangles (the calculation has been performed by us). It
is seen from the tables that the ratio of the DDT concentrations
in roots to those in stems noticeably increases with the rates of
pesticide application into soil and ranges from 33.6 to 169.0 units
for barley and from 37«5 to 266.0 units for clover.
            12 _
                                        I
            10
a
•p
o
s
0
•H
g
n
w

rH
•H
o
m
a.
•H
§
p
N
             6 -
                          0.5
1.0
                                DDT in soil, mg/kg
1.5
   Figure 3. Dependence of the coefficient  of DDT  and related
             compounds transport  (accumulation)  in the roots
             of barley and clover on  their  content in the  soil
             (I - for barley, 2 - for clover).
                                57

-------
      60 r
      50
    o
    8
   S
      20
      10
              21 ofp'-DDT, p,p'-DDD
                      I
                     r
                                             p,p'-DDT
Figure 4. Accumulation of the DDT products  in the roots
          of  "barley and clover depemding on their con-
          centrations in the soil:
I - for barley (duration of the experiment  is I month);
2 - for clover (duration of the experiment  is 2.5 months),
                             58

-------
    Figure 4 indicates that accumulation of p,p*-DDT and the sum
of o,p*-DDT and p,p*-DDD occurs at different rates as their concent-
rations in soil vary.
    Analysis of the soil for the content of DDT products in it be-
fore and after an experiment indicates that over the time of the
experiment their percentage composition did not practically changed.
However, over the time of the experiments the loss of pesticides
from the soils amounted to approximately 25f%. It is possible that
these losses are due to the process of evaporation.
    Comparison of the results of our investigations with the data
obtained by Voerman and others for different soils and species of
plants as well as under different experimental conditions shows
that either the mechanism of the DDT products entering the roots
of plants from the soil is likely to be independent of the experi-
mental conditions, types of soils, and species of plants or these
conditions were similar. Further investigations at various types
of soils and species of plants will provide opportunities to draw
an appropriate conclusion about that.
    Thus, using barley and clover as the objects of investigations
we found that DDT and related compounds are mainly accumulated in
theroot system of plants.
                                59

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                    References

Til W. P. Spencer, W. J. Parmer, and M. M. Cliath. Pesticide
    volatilization. Residue reviews, 49, 1-4? (1974).
J2J W. J. Parmer, J. Letey, Volatilization losses of pesticides
    from soil. EPA-660/2-74-054 (1974).
[3] W. D. Guenzi, W. E. Beard. Volatilization of lindane and DDT
    from soil. Soil Sci. Soc. Amer. Proc. 34. 443 (1970).
[4] E. P. Lichtenstein, K. R. Schulz. Effect of soil cultivation,
    soil surface and water on the persistence of insecticidal
    residues in soil.  J, Econ. Ent. 34. I03f 517 (1961).
[5] M. C. Bowman, P. Jr. Acree, C.  H. Schmidt, and M. Beroza.
    Pate of DDT in larvicide suspensions* J. Econ. Ent. 52.
    1038 (1959).
[6] P. Jr.  Acree, M. Beroza, and M. C. Bowman. Codistillation
    of DDT with water.  J. Agr. Pood Chem. II, 278 (1963).
[7] E. S.  Kovaleva,  G.  A. Talanov.  DDT absorption from soil and
    its translication into stems and leaves of plants. Khimiya
    v  sel'skom khozyajstve 8, 26 (1972).
    N. Rosa, H. H. Cheng. Distribution of DDT - I4C in Nicotiana
    Tabacum. Can. J. Plant Sci.  ^4, 403 (1974).
[9] S. Voerman, A. P.  H. Besemer. Persistence of dieldrin,  lindane
    and DDT in a light sandy soil and their uptake by grass.  Bull.
    Environ. Contam. and Toxicol. 13.  501 (1975).
                               60

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             PESTICIDE TRANSPORT AND METABOLISM IN MODEL SYSTEMS

            Donald D.  Kaufman,  Philip C.  Kearney and Ralph  G.  Nash
                       U.S.  Department of Agriculture*
     Laboratory studies devoted to investigating the environmental  fate  of
pesticides have usually examined individual processes such as  microbial  metab-
olism, soil leaching, surface and vapor phase photodecomposition, volatiliza-
tion from plant or soil surfaces, and plant uptake.   In the environment, how-
ever, all of these processes may be operative on the molecule, so that in
each stage of the pesticide dissipation process, one or more processes may
play a major role.  It has been extremely difficult  to study two or more of
these processes under controlled conditions which will enable  a clear under-
standing of the contribution of each.  Simplified model laboratory  systems
are now being developed which enable simultaneous measurement  of numerous
factors affecting pesticide dissipation in the environment.

BIOLOGICAL AND CHEMICAL ASSAYS

     Biological and chemical assays have been primarily used to study persis-
tence, adsorption, and movement of pesticides through soil, and the effects
of various soil and environmental conditions and properties on pesticide be-
havior in soil.  Chemical assays are useful in both quantitative and qualita-
tive determinations of pesticide residues, but are generally limited by  the
ability of the solvents to extract the residues from soil.  Chemical analyses
for pesticides and their degradation products in the environment was for a
long time one of the major stumbling blocks in pesticide research.   With the
development of new instrumentation and procedures it is now possible to  deter-
mine quantities of pesticides as low as a few parts per billion.  Spectropho-
tometric and chromatographic instruments have become the major analytical
tools in determining pesticides and their degradation products.

     Bioassays are generally used as a quantitative measurement of  the bio-
logically active concentration of a pesticide known to be present.   Bioassays
involve the measurement of a biological response by living plant, microbe, or
animal organisms in order to determine the presence and/or concentration of
chemical in a substrate.  For example, a soil bioassay involves the growing
of an indicator organism in a pesticide treated soil, and then comparing the
response of the test organism to similar organisms cultured in untreated soil
or in soil containing known pesticide concentrations.  Two basic assumptions
are made when using bioassays: (a) that the organisms show increased injury
in an order related to the pesticide concentration;  and O) that the responses
obtained are reproducible.
*Pesticide Degradation Laboratory, Agricultural Environmental Quality
 Institute, ARS, USDA, BARC-West, Beltsville, Maryland  20705.
                                     61

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      Bioassays and chemical-physical assays each contribute information of
 value and each are useful for certain circumstances.   A major advantage of
 the bioassay is the assurance that the toxic activity of the pesticide  mol-
 ecule is what is being measured.   It is not usually necessary to  extract the
 pesticide from the substrate, thus circumventing the  problems involved  with
 the extraction procedures that are often needed for chemical assays.  Bio-
 assay procedures are usually more economical,  less  difficult to perform,  and
 do not require as much expensive  equipment  as  chemical and  physical analyt-
 ical methods.  However,  there are also difficulties in using organisms  to
 bioassy for pesticides that  must  be considered when developing or using a
 bioassay.   Growth is directly influenced by ambient environmental conditions
 such as light,  temperature,  watering method and level,  and  humidity.  Varia-
 tions in these factors may cause  a greater  biological  response than the pes-
 ticide under test.   Thus,  the environmental and edaphic factors must be very
 closely controlled.   Untreated organisms and known  standards should be  in-
 cluded each time an  assay is  conducted.   Species variation  in susceptibility
 to a given  pesticide;  and in  some instances individual  organism variation
 within a species  may also be  apparent.   A comprehensive guide to  bioassay,
 adsorption,  absorption,  leaching,  and microbial  interaction  methodology has
 been published  (1).

 SOIL PERFUSION

      Soil perfusion  devices have  been developed  to  study soil  microbiological
 processes such  as nitrification,  denitrification, pesticide  degradation,  and
 microbial ultilization of  water-insoluble substrates such as  sulfur or  coal
 C2).  The design  shown in  Figure  1  is equally  adaptable to either positive or
 negative pressure systems.   It has  been  used successfully with C02 traps  both
 preceding and succeeding the  system.   Its principle advantages are: Ca)  adapt-
 ability to use with  either positive or negative  pressure  systems; (h) ease of
 maintaining sterility  if desired;  (c)  ease  of  sampling  perfusate; (d) ease of
 controlling rate of perfusion;  (e)  adaptable to  use with  gases of known com-
 position; (f) infrequent adjustment  requirements; (g) self-supporting and  com-
 pact design; and  (h) relatively inexpensive  parts.

     This system has been  used successfully  to observe microbial  degradation
 of pesticides (3,4).   In such investigations, soils containing a pesticide
were perfused with distilled water;  or untreated soils were perfused with
aqueous solutions of pesticides.  Under  these conditions  degradation was deter-
mined either by measuring  the rate  of pesticide disappearance, or the accumu-
 lation of breakdown products, or by both.  The kinetics involved with the
 degradation of a pesticide in similar systems have been discussed elsewhere
 C5,6).  Typically, a lag period occurs during which there is no change in
pesticide concentration, followed by  a period of rapid disappearance of the
pesticide (Figure 2).  Subsequent additions  of the pesticide decompose more
rapidly than the first.  This period of rapid breakdown is generally accompan-
 ied by proliferation of "effective" microorganisms capable of utilizing the
pesticide as a sole or supplemental source of energy and carbon.   Soils  in
which this phenomenon has occurred are frequently described as "enriched"
 soils  C5)•  Isolation of pure cultures of effective organisms from enriched
 soils has been achieved via dilution plate techniques.
                                      62

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     Data obtained with soil perfusion units have been primarily useful in
assessing the relative biodegradability of pesticides (5,7);  factors affec-
ting microbial degradation of pesticides; microbial degradation of pesticide
combinations (4); and soil enrichment and subsequent isolation of effective
microorganisms.  Other techniques are necessary for studying  cometabolic or
chemical processes involved with pesticide degradation in soil (8).

SOIL BIOMETRY

     Several systems have been used to study degradation and  metabolism of
14C-pesticides in soils.  Two of these methods have been used extensively
in our laboratory.  Although either system can be used to study pesticide
metabolism by isolated organisms, they are more commonly used with the total
microbial population in soil considered as a tissue or unit organism.  One
system involves a "soil biometer" flask developed by Bartha and Pramer (Fig-
ure 3) (9).  When 14C-labeled pesticides are incorporated into the soil, the
apparatus and method of analysis enable both ^££>2 an^ total  ^2 production
to be monitored at frequent intervals for prolonged periods,  and all meas-
urements are made on the same soil sample without significant exposure to
atmospheric (X>2.  Although it was suggested by the developers that the mag-
nitude of the difference in amount of C02 produced by treated and untreated
soil could be used as a measure of the extent to which an unlabeled pesti-
cide molecule was oxidized, this approach may be inaccurate with pesticides
which stimulate microbial activity in addition to serving as  a substrate.
Consequently, use of   C-labeled pesticides provides a far more accurate
indication of actual pesticide metabolism in soil.

     The soil biometer flask has been used successfully to study microbial
metabolism of numerous pesticides in soil.  A serious limitation of this
technique, however, may be encountered when volatile pesticides which can be
trapped in base are examined in this system.  It then becomes essential to
determine by organic solvent extraction or precipitation of evolved C02, how
much of the 14C material trapped in the base is actually 14C02 or volatile
14C-pesticide residues.  This problem is avoided in a system developed by
Kearney and Kontson (10).

     The system of Kearney and Kontson (10) permits simultaneous measurement
of pesticide loss by volatilization and metabolic C02 evolution from soils
(Figure 4).  The system is maintained with an air flow which  flushes evolved
C02 and volatilized pesticide residues from the incubation flask.  Each flask
is equipped with a polyurethane foam plug held in a sintered  glass filter
funnel.  This apparatus was used to examine vapor and metabolic loss of two
dinitroaniline herbicides from soil  (Table 1).  A comparison of the KOH traps
revealed no difference in the amount of ^4C02 trapped in the presence or
absence of the polyurethane plugs.  Analysis of the plugs divided into four
sections showed that 97% of the butralin volatilized was recovered in the
first centimeter of the plug and 1% of each of the remaining three 1-cm
sections.  Extraction of the KOH solutions with ethyl acetate revealed that
no butralin escaped through the plug.  Results obtained with this system
indicated that loss of trifluralin by volatility from soil surfaces was the
major loss mechanism during the first three weeks after application  (Table  1)
CIO).

                                      63

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      Before the system can be used with other pesticides,  the trapping char-
 acteristics of the plugs should be tested.   The system was easy to maintain
 although the soils lost moisture during the time between weekly samplings.
 This can be remedied, however, through the  use of humidified air.   It  was
 suggested that studies on vapor phase photolysis might also be feasible in
 the system.

 ROOT VS VAPOR SORPTION METHODOLOGY

      Crops can be contaminated aerially by  intentional, direct application
 of pesticides or by indirect  ways  such as spray or dust drift  and  wind-borne
 pesticide-treated soils.   Some pesticides are root-absorbed directly from
 treated soil, then translocated to aerial portions of plants.   Another pos-
 sible pathway of contamination is  pesticide vaporization from soil and sorp-
 tion of these vapors  by aerial portions of  plants.   Barrows  et al.  (11)  found
 that the leaf-to stalk ratio  of dieldrin concentrations in field-grown corn
 was about  50  times higher than the ratio found in insecticide  vapor-protected
 plants  grown  in a greenhouse.   They attributed this  large  difference to
 aerial  contamination  of the field  grown corn.

      Beall  and Nash (12)  developed a  system for distinguishing between  pesti-
 cide contamination of plants  resulting from root  sorption  and  plant sorption
 of the  pesticide vapors emanating  from the  soil Cpigure 5).   Surface and sub-
 surface soil  layers are separated  by  a water-  and vapor-tight  disk.  To con-
 fine vapors around the plant,  a polyethylene cage Open at  the top) is  pro-
 vided.   In  any given  pot  only one  pesticide is  used,  and only  one  of the soil
 layers  is  treated with pesticide.   A  hole (.fitted with a piece of  glass tub-
 ing)  in the center of the  disk allowed the  plant  stem to pass  through  the
 upper layer without touching  the soil.

      In experiments with several 14C-labeled insecticides  they observed that
 regardless of the  insecticide  treatment, contamination of  aerial plant parts
 occurred through both root and vapor  sorption  (Table  2).  Although their re-
 search  was performed  under greenhouse  conditions,  the results  indicated that
 insecticide volatilization from treated  soil may be as important Cdieldrin)
 or more  important  (DDT) than  root uptake as  a mechanism of crop contamination
 under field conditions.  Actually, under field  conditions,  where roots are
 able  to penetrate  down  into untreated  soil,  volatilization may be an even
more  important mechanism of contamination than their pot experiments demon-
strated.  Results  from  such a method contribute to a better understanding of
the nature of root sorption and vapor sorption of pesticide residues by plants
and their fate and behavior on or within the plant.

AGROECOSYSTEMS

      Recently, agroecosystem chambers have been developed in which the com-
bined effects of all pesticide dissipation processes can be studied (Figure
6)  (13).  Agroecosystems allow for independent study of dissipation processes
 in soil, plant, air, and water as a function of time.  The  agroecosystem shown
here has a number of advantages, i.e.  it is  relatively inexpensive, easy to
operate, monitor, and sample;  versatile in the number of plants and soils
that can be studied; adjustable to rainfall  and potentially adjustable  to

                                      64

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wind velocity, light intensity and duration; and conducive to balance stud-
ies where pesticide mobility can be compared under similar conditions.  It
has an advantage over previous systems because the large air exchange pro-
vides cooling, prevents moisture condensation on the chamber walls, and per-
mits sufficient air sample volumes for measurement of very low residue concen-
tration.  The aerial residues in the exhaust air are trapped on polyurethane
foam plugs, which are sampled periodically.  Numerous other environmental
factors such as temperature and relative humidity inside the chambers are
monitored periodically with automatic equipment.

     In initial investigations when toxaphene and DDT were applied to cotton
in the agroecosystem chambers, 24 and 15%, respectively, were lost to the air;
20 and 24% were in the surface 1 cm of soil; and the rest remained on the cot-
ton plants over a 90-day period.  Calculated half-lives in air for toxaphene
were 15.1 days, and 19.8 days for p,p'-DDT.  More detailed accounts of these
results have been published (14).

     Initial objectives have been to test the ability of the agroecosystem for
comparing the mobility of different classes of pesticides and thereby identi-
fying potential environmental problems.  Long-term objectives are to  explore
the possibilities of determining bioaccumulation of pesticides in terrestrial
organisms and interfacing the agroecosystem with other model ecosystems, par-
ticularly the aquatic ecosystem.  An ultimate objective is to devise  methods
of reducing pesticide mobility.

REFERENCES

1.  Wilkinson, R. E.  Research Methods in Weed Science.  POP Enterprises,
    Inc., Atlanta, Georgia, and Creative Printers, Griffin, Georgia.  198
    pp.  1972.
2.  Kaufman, D. D.  An inexpensive, positive pressure soil perfusion  system.
    Weeds 14:90-91 (1966).
3.  Kaufman, D. D., and P. C. Kearney.  Microbial degradation of isopropyl
    N-3-chlorophenylcarbamate and 2-chloroethyl N-3-chlorophenylcarbamate.
    Appl. Microbiol. 13:443-446 (1965).
4.  Kaufman, D. D., P. C. Kearney, D. W. Von Endt, and D. E. Miller.  Methyl-
    carbamate inhibition of phenylcarbamate metabolism in soil.  J. Agr. Food
    Chem. 19:513-519 (1970).
5.  Audus, L. J.  Microbiological breakdown of herbicides in soils,   pp. 1-18.
    .In. Herbicides and the Soil.  F. K. Woodford and G. R. Sagar, eds.  Black-
    well Sci. Publ., Oxford.  1960.
6.  Kaufman, D. D., and P. C. Kearney.  Microbial transformation in the soil.
    pp. 29-64.  ^Herbicides:  Physiology, Biochemistry, and Ecology, Vol. 2.
    L. J. A.udus, ed.  Academic Press, London.   1976.
7.  Kaufman, D. D.  Structure of pesticides and decomposition by soil micro-
    organisms.  In Pesticides/Soils/Water.  ASA Special Publ. No. 8,  pp.
    85-94.   19667~
8.  Kaufman, D. D., J. Plimmer, P. C. Kearney, J. Blake, and F. S. Guardia.
    Chemical vs. microbial decomposition of amitrole in soil.  Weeds
    15:266-272  (1968).
  •  Bartha,  R. and D. Pramer.  Features of a flask and method for measuring
    the persistence and biological effects of pesticides in soil.  Soil
    Sci. 100:68-70 (1965).
                                      65

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10. Kearney, P. C. and A. Kontson.  A simple system to simultaneously measure
    volatilization and metabolism of pesticides from soils.  J. Agr. Food
    Chera. 24:424-426 U976).
11. Barrows, H. L., J.  H. Caro, W. H. Armiger, and W. M. Edwards.  Contribu-
    tion of aerial contamination to the accumulation of dieldrin by mature
    corn plants.  Environ. Sci. and Tech. 3:261-263 (1969).
12. Beall, Jr., M. L. and R. G. Nash.  Organochlorine residues in soybean
    plant tops:  Root vs. vapor sorption.  Agron. J. 63:460-464 (1971).
13. Beall, Jr., M. L.,  R. G. Nash, and P. C. Kearney.   Agroecosystem - A
    laboratory model ecosystem to simulate agricultural field conditions for
    monitoring pesticides, _In_ Proceedings of the Conference on Environmental
    Modeling and Simulation.  W. R. Ott, ed.  U.S. Environmental Protection
    Agency, Cincinnati, Ohio, April 19-22, 1976.  pp. 790-793.
14. Nash, R. G., M. L.  Beall, Jr., and W. G. Harris.  Toxaphene and DDT
    losses from cotton in an agroecosystem chamber.  J. Agr. Food Chem.
    25:336-341 (1977).
        Table 1.  Vapor and Metabolic Loss of Butralin and Trifluralin
                  from Matapeake Silt Loam (10).a
Trapped 1**C as •
\ of total
Butralin
Week
1

2

3

Totals
Plugs
0.45
(82)
0.43
(84)
0.37
(72)
1.25
1I+C02
0.10
(18)
0.08
(16)
0.15
(28)
0.33
Total
0.55

0.51

0.52

1.58
Plugs
4.42
C95)
0.86
(81)
1.16
(69)
6.44
applied

Trifluralin
^C02
0.18
C5)
0.20
(19)
0.49
(31)
0.87
Total
4.60

1.06

1.65

7.31
        01  Since  there was  no  difference  in the  amount  of J1*C lost as
        volatile products  in  the  light or dark,  the values  presented
        represent averages of four  replications.   Numbers in parenthe-
        ses  indicate percent  *kC  appearing in plugs and C02.
                                     66

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Table 2.  Gas-liquid chromatographic determination  of insecticide
          residues found in various parts  of soybean plants  exposed
          to soil treated with ^C-DDT,  -dieldrin,  -endrin,  or
          -heptachlor (12).
Source of contamination
Insecticide
residues


DDT
DDE
ODD
Total

Dieldrin

Endrin
Endrin ketone
Total

Heptachlor
Hydroxtchlordene
Heptachlor epoxide
Total
Vapor sorption Root sorption
Leaves


10.35
1.97
0.11
12.43

18.87

12.28
-
12.28

0.42
0.10
0.44
0.96
Stem


0.78
0.08
0.03
0.89

2.11

0.78
-
0.78

0.60
0.03
0.21
0.84
Seeds Leaves
ppm
DDT
0.00 0.01
0.00 0.01
0.00 0.00
0.00 0.02
Dieldrin
0.73 6.43
Endrin
0.31 23.86
0.01
0.32 23.86
Heptachlor
0.08 0.10
0.00 0.87
0.25 1.37
0.33 2.34
Stem


0.00
Trace
0.00
Trace

104.91

173.99
_
173.99

3.16
0.85
27.33
31.34
Seeds


0.00
0.00
0.00
o.ao

0.71

0.09
0.15
0.24

0.02
0.04
0.34
0.40
                                67

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 SOIL
 GLASS WOOL
 AIR OUTLET
SAMPLING
    PORT
DELIVERY TUBE
     -AIR INLET
                            •RESERVOIR
Figure 1.  Diagram of soil perfusion unit  (2)
                  68

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100
                                                                      8
   Figure  2.  Microbial  degradation of dalapon  in  (A)  an untreated
              soil perfused with an aqueous  solution of dalapon; and
               CB) the  same soil, re-perfused with  a second supply of
              aqueous  dalapon  (2} .
                                   69

-------
Figure 3.  Soil biometer flask  (9),
                70

-------
                              polyurethane-
                                foam  plug
                                      soil
Figure 4.  Diagram of system designed to
          measure volatilization  and
          metabolism in or on soils (10)
                  71

-------
0.92m
     15.2cm

                           SPACE

                         SOIL
                                            WIRE  MESH CYLINDER
                                            WRAPPED  WITH
                                            POLYETHYLENE  FILM
                           POLYETHYLENE
                              SEAL
                           GLASS  TUBE
                           SOIL
                           FIBERBOARD
                             DISK
                           AIR HOLE


                           PLASTIC POT



                           SAUCER
      Figure 5.
Longitudinal section of pot designed
to provide a solid, liquid, and vapor
barrier between surface and subsur-
face soil treatments (12).
INLIT Nllll MOtOII / |
         ftfg               ^mi£®Mi
                                                   OUTUI Flllll MOIOII
         Figure 6.  Diagram of an agroecosystero  (14).

-------
                COMETABOLISM OF FOKEIQS! COMPOUNDS





                 Golovleva L.A., Skryabin G.K.







      Institute of Biochemistry and Physiology of Microorganisms








     A characteristic feature of the most part of present investigations




on inicrobial degradation of xenobiotic compounds is the absence of certain




idea about ways of practical application of microbiological methods. Analysis




of up-to-date situation shows a distinct discrepancy between laboratory



science trends and conceavable technology of practical realization of obtained




results.



     The main attention of the scientists is paid to isolation of microorga-




nisms capable to use xenobiotics as a sole carbon sources under traditional




laboratory conditions - pure culture, high aeration, optimal temperature and




so on.




     These "classical" approaches resulted many times in disappointments at




the attemps to apply cultures, obtained at the laboratories for degradation



of xenobiotic in natural habitats.




     So, Andersen tried to use a fungal culture Mucor alternans, capable to




transform DDT into water-soluble products under laboratory conditions for




degradation of this pesticide in soil. He did not receive desirable result.




The explanation was that natural soil microflora interfered with function



of introduced culture.





                                      73

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      We tried to introduce the bionass of cultures degrading ordram into




 a water of a natural reservoirs, contaminated by this herbicide.  The applied



 cultures were Pseudononas aeruginosa and Bacillus sp.isolated from water



 habitats, contaminated by ordram a year before.  In both of the experiments




 the introduced cultures disappeared completly in 24 hours or near that.



      According to prof.Zwjaguinzev, bacterial cultures should be  introduced



 into the soil not less than 1  t per hectare to obtain a positive  effect  in



 xenobiotic content decrease.



      The positive experience known concerns to hydrocarbon decomposing



 microorganisms.  The experiments on degradation of petroleum products,



 contaminating soils were carried out by american scientists and are well



 known.  It should be mentioned,  however,  that was the most simple  case,



 because petroleum hydrocarbons  are oxidized by many naturally occuring



 microorganisms,  and besides, the inoculums  of microbial mass were rather




 heavy.



     Thus,  taking into account  these considerations,  one  can conclude, that



 microorganisms,  obtained at the laboratories,  can be applied in the first



 line in so  called intensive methods suggesting the  construction of special



 installations of industrial type, where  the microorganisms  could  be applied



 as a components  of active sludges or  in  some  immobilized  (fixed up) form.



     For degradation of xenobiotics,  accumulated  in the biosphere  at the



vast aeriaes of  soils or waters, one needs another  approuches-extensive ones,



which don't requirer creating of complicated technological  schemes of



 industrial  scale. The introduction of foreign microorganisms  into  soils or



water is hardly  suitable way to solve this problem. The required quantities



of microbial mass should be too great and the effect is too transient. To




                                      74

-------
obtain a stable permanent effect, one has to solve quite another problem,



in fact creating of new, artificial ecosystem. That's why from our point of



view, the more proper approach to extensive methods of xenobiotics degrada-



tion is a mobilization of capacities of natural microflora.



     There are at least taro ways to do that - the first one - supplying of



natural microflora by N and P sources  (this was demonstrated by american



authors in case of petroleum contamination of the soil) and the second -



method of conetabolism.



     These approachs make possible extensive methods of microbiological



degradation of xenobiotics in the environment.



     Study of cooxidation of aromatic hydrocarbons and heterocyclic compounds



by microorganisms at the expense of other compounds - hydrocarbons, carbo-



hydrates etc.has drawn the attention of microbiologists to the regulations



of interaction between microorganisms and some other substrates  (Hbrwath,



1972; Skryabin, Golovleva, 1976). It is stater  that fermentative conversions



of many organic substances are closely connected or even depend on oxidation



of other compounds - cosubstrates. This dependence is generally called



cometabolism.



     There is no strickt definition of the notion "cometabolism11 and different



authors treat it differently.




     Some investigators-specialists in the field of soil microbiology-



Alexander, Horvath consider cometabolism to be transformation processes i.e.



partial conversion carried out by microorganisms, growing or grown on



substrates inducing synthesis of transforming fermentative system  (Horvath,



Alexander, 1970; 197Oa). For instance, Horvath and Alexander gave as an



example of cometabolism the discription of transformation of m-chlorobenzoic






                                      75

-------
 acid in 4-chlorcatechol by cell Arthrobacter sp.grown en the medium with
 benzole acid. In this case the substrate was oxidised more intensively and
 without lag-phase. (Horvath,  Alexander,  197O).
      We consider conetabolism to be the processes of fermentative conversion
 of organic compounds which are carried out by microorganisms only in
 conjugation with the use of additional substrates. Cometabolism reaction of
 some substrate exhibits itself only in the presence  of oosubstrate of  certain
 structure and in case it is metabolised.  Close  interrelation between meta-
 bolism of the two substrates/ dependence of cometabolism process  on the
 nature of oosubstrate are/  in our qppinion/  the characteristic  and distinctive
 features of cometabolism/ representing biological specificity of  this
 phenomenon. The best known  are the  cometabolism processes of foreign compounds-
 xenobiotics,  though there are also  the example*  of  cometabolism  of natural
 compounds for instance steroids and terpenes as well as such substrates as
 xylose, widely spread in nature and easily metabolized (Yoshitake et al.,
 1971).
     Our  investigations prove that  conversions of many xenobiotics are
 possible  only under ccmetabolisiroonditions.
     Nowadays the  following reactions carried out under  the cometabolism
 conditions are described.
     1) Oxidation of methyl groups of n-alkanes (Leadbetter, Poster, 196O);
     2) Oxidation of methyl groups of aromatic and heterocyclic compounds
 (Raymond et al., 1976;Skryabin/ Golovleva, 1976).
     3) Oxidation of cycloalkanes (Ooyama, Foster, 1965).
     4) Hydroxilation of aromatic ring/ hydroxilation of steroids  (Vesina
et al., 1969);
                                     76

-------
        5) Acetylation of aminogroups  (Golovleva et al., 1975);



        6) Co-reduction  (Nona et al.,  1973;  1974);



        7) Cyclization of aliphatic radical  (Skryabin et al.,  1974),




     Partial and full degradation of such recalcitrant pesticides as 2,3,6-TBA,



2,4,5-T acid, DDT has been described.  In our laboratory we have completely



decomposed herbicides alvison-8 and ordrame under cometabolism conditions.



The latter is resistant herbicide and until recently there was no data about



its degradation.



     Consequently, both the processes of xenobiotic transformation and their



full degradation can occur under the cometabolism conditions.



     Let us consider in detail the types of cometabolism reactions. The



culture Nocardia corallina I A transformed isomeric xylenes, substituted



toluenes, alkylpyridines,  cresols only in the process of growth on the



variety of additional substrates fig 1 .Degradation of alvison-8 also took



place during the growth of this culture on the medium with octane or glucose



fig.2. Degradation of herbicide ordram was also carried out under the growth



of Bacillus sp.21 on the medium with ethanol fig.3.



     At the same time there exist processes which take place not during the



groafch but in the process of cosubstrate metabolism.



     Oxidation of p-xylene and 3-methylpyridine by Nocardia corallina I A



was performed conjugated with xylose conversion to xylonic acid fig.4. Culture



growth on the medium with xylose was not observed, i.e. in this case



transformation of foreign compound took place together with cosubstrate



transformation.




     Degradation of herbicide alvison-8 Pseudomonas diminuta and Pseudomonas



putida was also carried out only in the process of co-substrate metabolism





                                       77

-------
                                1              days    2
   3-Melhylpyridine oxidation by Nocardia corallina 1A under growth
                               on glucose
    1 -concentr of nicotinic acid            J - pH
    2-culture growth                    A- glucose  decrease
Fig.1.     3-Methylpyridine oxidation by Nocardia coralline 1A under growth on

          glucose.

          1 - concentr. of nicotinic acid, 2 - culture growth, 3-pH,

          4- glucose decreojse.
                                   78

-------
    10


 iZ
     7
     6

     5
eo
.22   2
                                                        days
 Fig.2.   Growth of Nocardia ooroilina {-) and PseudoiDnas aeruginosa B-12 (—)


         on glucose 1. Decrease of alviaon -8-2.
                               79

-------
    decrease of ordram,	growth
    glucose  ;   x-ethanol ; A-xylose
Fig. 3.   Qrdram degradation by Bacillus sp 21R under growth on different
        substrates.
        - decrease of ordram,	growth, o - glucose, x - ethanol,
          - xylose.
                            so

-------
Cxytee
         I	\.	2	y<-	200
                                                                    Cnic
                                                                    mg/l
                                                                    300
                                                                    100
                                                5       6    days
Ficj.4»   Transformation of 3-methylpyridine by Nocardia oorallina 1A conjugated

         with xylose transformation.

         1  - xylose concentration; 2 - nicotinic acid concentration,

         3  - optical density.
                                    81

-------
  fig.5.  None of  the active oosubstrates served as a growth substrate  for these

  cultures even after the addition of growth factors though all of them were

  actively oxidized by washed cells in Varburg apparatus.

       It should  be noted that even alvison degradation was carried out in the

  process of  growth (for example, under growth on glucose  for the culture

  Nocardia corallina)  the intensity of growth and degradation was characterised

  by the  inverse proportion. As a rule, maximal specific rate of growth did not

  coinside with the maximal rate of herbicide degradation  fig 2  .
     11
     10
     9
  I  8
  i   7
      6
  E   5
 op  4
 §  3i
•S  2
•3   1
                   1  2  5 
-------
     The analysis of the presented data allows to assure that the mechanisms



of co-oxidation of different substrates by various cultures differ in seme



characteristic details each other. These mechanisms depend, in part,  on the



abbility of microorganisms to metabolise various carbon compounds and to use



than as ajgrowth substrate as well as, probably, on the specifities of cata-



bolism of co-substrates with different structure. However there can be



noticed a general principle of cometabolism processes - the processes of



degradation carried out under the co-oxidation conditions are the most



effective in the presence of co-substrates which are intensively metabolized



but are unable to maintain intensive growth of microorganisms. Consequently



it is possible to speak about four types of cometabolismsI



     1) transformation of foreign compound in the process of microorganism



growth on the expense of co-substrate;



     2) xenobiotic transformation under the co-substrate transformation; in



this case the co-substrate is not the source of carbon;



     3) degradation of the main substrate under the microbial growth at the



expense of co-substrate;



     4) xenobiotic degradation under the co-substrate transformation.



     In spite of the obvious and very close dependence of the main substrate



transformation on the nature of co-substrate the character  of this relation



is not cleryfied yet. As I have already mentioned above, our experiments with



introduction of microorganisms into natural water reservoires did not give



positive results.



     However/ the degradation of herbicides was significantly accelerated



after infreducing of co-substrates. So, analysis of 2.4-D dynamics in waste



waters of rice fields has shown that 2.4-D disappeared more quickly if





                                      83

-------
 propionate was used as co-substrate.  In  this case the herbicide was not



 detected in the water in 3 days, at the  same time about 25% of initial 2.4-D



 was present in control experiments  (without propionate) fig.6.



      Similar results were obtained in experiments of this year in Moscow



 region with ordram degradation. Addition of cosubstrate-ethanol to a water



 reservoir accelerated ordram degradation in comparison to control (without



 cosubstrate).



     The study of ccmetabolism is at the first stage of its development.



 There is no doubt that the knowledge of regularities of interrelation between



microorganisms and several substrates is not only practically but also



 theoretically important, i.e. the importance of the study of ccmetabolism



 as biological phenomenon is beyond doubt.
                      1
3      4
6  days
   Fig.6.    Ccmetabolism 2.4-D with (-) and without  (	) propionate.



                                     84

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                     LITERATURE








Horvath R. 1972. Bact.Rev. 36, 146.



Horvath R., Alexander M. 1970. Canad.J.Microbiol., 16, 1131.



Horvath R., Alexander M. 1970 a. Appl.Microbiol., 20, 254.



yoshitake Y., H.Ohiwa, M.Shimaraura, T.Iitai, 1971. Agric.Biolog.Chem., 3_5, 905.



Leadbetter R.R., Foster J.W. 1960. Appl.Microib., 35, 92.



Raymond R.L., V.W,Jatnison, J.O.Hudson. 1967. Appl.Microbiol., 15, 357.



OOyama J.S., Poster J.W. 1965. Antonie van Leeuwenhoek J.Microb.and serol.,31,45.



Vezina C., S.N. Sehgal, K.Singh. 1963. Appl.Microbiol., V[, 50.



Golovleva L.A., Solov'eva T.F., Skryabin G.K. 1975. Proceedings of the first



   Intersect.Congress of IAMS, 2, 557.



     Y., Tatsumi C. 1973. J.Chem.Agr.Soc.Japan., 47, 705.



     Y., Tatsumi C., ^bna^ura S., H.Ueda, 1974, Agric.Biol.Chem., 38, 735.
                                       85

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     ON THE ESTIMATION OP THE ANTHROPOGENIC POLLUTION EFFECT
     ON THE FUNCTIONAL STATE OF THE SOIL MICROFLORA

              E.  I.  Gaponyuk, V, A. Kobzev
     Institute of Experimental Meteorology,  Obninsk

     The biosphere is the ecological system  in which  a variety of
 organisms and their associations are in a definite interaction
 with the environment.  Ever-increasing anthropogenic  activity  re-
 sults in the  accumulation in the biosphere  of stable  compounds
 which can significantly change  the living conditions  and, conse-
 quently,  the  reactions determining interactions between organisms
 and  the  environment.
     Among all the geophysical media,  soil is  subjected to the
 greatest  anthropogenic  action and is the  most dangerous link in
 the  circulation of industrial and  agricultural toxic materials.
Microorganisms play a leading part in the biogenic migration and
transformation of organic and mineral substances in soil. Bio-
transformation accomplished by the soil microflora involves a
great quantity of chemical elements amounting to millions and
billions of tons. The number  and amount of substances involved
in bi©transformation and biogenic migration increase with the
                                86

-------
development  of industry and the increase in application of che-
micals  in  agriculture.
    The interaction of microorganisms with foreign for the bio-
sphere  substances is intensively investigated, mainly relative
to the  ability of microorganisms to decompose synthetic compo-
unds. As for the effect of industrial and agricultural toxic ma-
terials upon the soil micro-flora, it is investigated very poorly.
Data  on this problem available in literature are very contradic-
tory.
    Due to the fact that the soil cover together with its micro-
world plays  a role of the universal biotransformer of organic and
mineral substances, and that the accumulation of toxicants in soil
presents danger for the vital activity of the soil microflora and
•transformation processes fulfilled by it, there arose a problem
of assessing and forecasting the state of soil which is one of the
main  components of the ecosystem.
    The integral index of the soil state is its biological activi-
ty  [l] • Tne  biological activity of soil is a concept reflecting
the whole  complex of biotransformation processes taking place in
goil« One  of ^e main indexes of the biological activity of soil
   the  enzymic activity  |_2, 3, 4-J. There are many enzymes initi-
      *ne  Di0transforma'tiori processes in soil. However, not all of
them  can be  used for the assessment  of the functional state of mic-
roorganisms  because their role in the processes of the vital  acti-
      * cei;Ls is different.
                                87

-------
     An essential manifestation of the vital activity is metabolism
 that is^ a complex of processes directed to  the  reproduction of  Hi
 ving substance.  The energy required for this is released by the
 oxidation-reduction processes.  Enzymic systems  catalyzing the trans-
 port of electrons are  very complicated and  act  as highly organized
 complexes.
     Oxidoreductases are  very numerous,  but  not  a single full biolo»
 gical  oxidation  process  occurs  without participation of dehydroee-
 nases  [5], A universal role of  dehydrogenases in the biotransforma-
 tion processes accomplished by  living cells  is  explained by their
 ability to induce  the  transport of  electrons both under aerobic
 and  anaerobic conditions using  various  organic  and mineral compo-
 nents  of  soil as an acceptor of hydrogen [e]. Thus, co-oxidatio
is one of the most important manifestations of  the vital activity
of microorganisms  in which dehydrogenases play  an essential role.
     Investigation  of a number of indexes of the biological activity
of soils shows a good  correlation of the dehydrogenase activity
with the proteolytic,  nitrifying, respiratory activity and absorp*
tion of oxygen by  soil J_7|8J.
    According to data  obtained by many authors,  the dehydrogenase
activity depends on  all the ecological factors in soil which deter-
mine the quantitative  and qualitative composition of the  soil mic—
roflora and reflect the level of its vital activity and the  inten-
sity of biotransforraation processes in soil [9J.
    Data obtained by many authors show that the  dehydrogenase  ac-
tivity presents a  sensitive index of the total susceptibility of
                                88

-------
the microflora of soils and active silts to chemical substances
toxic for main reactions of metabolism | 10, II, 12, IjJ.
    Based on all the said above, the dehydrogenase activity was
chosen by us as a criterion for evaluating the effect of industrial
and agricultural toxicants on the biological activity of the soil
microflora.
    To determine the dehydrogenase activity soil samples were taken
from model experiments carried out in various types of soil in ag-
ricultural and industrial regions. The soil samples had various re-
sidues of the sum of oC» ft"-hexachlorocyclohexane, DDT and its meta-
bolites and various amounts of the sum of heavy metals: lead, chro-
miuni nickel, vanadium, copper. The dehydrogenase activity was de-
termined in air-dried soil samples by the photocolorimetric method
from the amount of formazan formed by the reduction of triphenyl-
tetrazolium using Lenhard's method modified by Ross. The results
of the dehydrogenase activity determination were expressed as mic-
roliters of hydrogen, knowing that the formation of I mg of forma-
zan requires 150*35 microliters of hydrogen. Analysis of the con-
tents of 0^, 0-hexachlorocyclohexane, DDT and its metabolites in
soil samples was made by the gas-liquid chromatography technique.
Analysis of the contents of heavy metals in soil samples was made
by the spectral method.
    All the analyzed soil samples without addition of exogenous
substrates and coenzymes were characterized by the dehydrogenase
activity. When investigating the dehydrogenase activity depending
on the incubation time, the short-period stable auto-oscillations
                                89

-------
 of activity were found under invariable experimental conditions
 (Fig.  I).
     Methods for the dehydrogenase activity determination based
 upon one definite period of soil sample incubation give  the  state
 of microflora only during this period of time  but  do not charac-
 terize  its general functional state.  Thus,  for example,  determi-
 nations of the  dehydrogenase activity in soils with relatively
 large and  small residues of chloroorganic pesticides carried out
 by the  above  methods either do not show any difference in the  mic-
 roflora activity (Fig.  la,  c,  d)  or  give contradictory  results
 (Pig. I b)  for  the first 24 hours  of  incubation. And only longer
 observations  reveal that the functional activity of  the  microflo-
 ra in soils with high contents of  toxicants is lower than that in
 a  relatively  clean samples.
    Talcing into account auto-oscillations of the dehydrogenase  ac-
 tivity  and  contradictions of its single  measurements, we  think
 that it  is  reasonable to evaluate  the biological activity of the
 soil microflora from  the  dynamics  of the  dehydration process.
    The  short-period  autooscillations of  the dehydrogenase acti-
vity found by us were of  a methodical value. Due to this, we began
to estimate the  state of  microflora from  the data  of the  dehydro-
genase activity  observations averaged over 10 days.
    Investigations of the dynamics of the dehydration process in
soils of agricultural regions with various residues of chlororga-
nic pesticides show that  the average level of the dehydrogenase
activity in soils with large contents of toxicants is lower than
                                90

-------
        1  2  3
 56789
Days
                                    _  or-
                                          J	I
10
                                                  I	I
                                         J	I
3VT5 6  78  9 10
    Days
          234  56789
                 Days
                        23456789 10
                              Days
Pig. !• Change of the dehydrogenase activity of the microflora
        in soils having various residues of pesticides (the sum
        of DDT and its metabolites, C^.- and jf-hexachlorocyclo-
        hexane) depending on the incubation time.
       -o - soils with relatively low residue of pesticides;
   	 -o - soils with relatively high residue of pesticides.
                              91

-------
that in the control samples with smaller residues of pesticides
(Table I).
    The response of microflora to industrial contaminants (Pb
Or, V,  Cu) is that large contents of these chemical elements in
soil (2760 mg/kg) as well as small contents (115 mg/kg)  diminish
    Table  I.  Change  of the  dehydrogenase  activity  of  soils  de-
             pending on the residues  of chlororganic  pesticides
             (DDT  and its metabolites,  ck—  and X^— hexachloro—
             cyclohexane)
Soils t
i
t
s
Sierozem

Ordinary
chernozem
Calcareous
chernozem
Residues of
the sum of
DDT and its
metabolites
(jUS/kg)
22403
627
1964
54
1081
52
: Residues of
: the sum of
: cC-BHC and
* (ju g/kg)
327
12
—
-
6
5
: Dehydrogenase
: activity
: (jul H2/Ig soil)
: (14 - m)
*
25.0 i 5.4
49.3 i 9.8
27.1 i 9.4
52.0 t 13.7
3.1 - 0.3
II.6 ± 2.6
                              92

-------
the dehydrogenase activity (Table 2). And only in a definite con-
centration range (162-586 mg/kg) the dehydration processes are in-
tensive.
    The toxic effect of high concentrations of heavy metals in
soils of industrial regions is greater than that of pesticides.
    Decrease in the dehydrogenase activity in soils with high con-
tents of toxicants may be one of the reasons of decreasing the
rates of their biotransformation and this results in increase of
the time periods of their toxic effect. We made an attempt to as-
sess the toxicity of soils with high contents of toxicants and
low dehydrogenase activity from the germination of clover and bar-

      Table  2.  Change  of the  dehydrogenase  activity of  soils
                depending on the contents of the  sum of  heavy
                metals  (Fb,  Ni,  Cr,  V,  Cu)
     The sum of heavy metals        Dehydrogenase activity
            (mg/kg)                 (jul H2/I g soil)
                                        (M ± m)
           2760                             3.5 ± 0.3
            586                            25.4 - 3.1
            162                            33.2 ±4.6
            115                             3.4 ± 0.4

-------
ley seeds. The germination of clover and barley seeds (during
15 days at temperatures of 20-25°C and 60$ of total moisture ca-
pacity) was the better, the higher was the dehydrogenase activity.
In soils with the dehydrogenase activity of about unity, the ger-
             60
             54
             48
           o 42
           in
           bo 36
           c* 30
Q
             18
             12
             6
                   o	
                   I	
                              O
                                      .._-0	0--
                             456
                               Days
                                  8
10
 Pig.  2.  Change of the dehydrogenase activity of the microflora
         in soils with various contents of heavy metals (R>t
         V, Ni, Cu) depending on the incubation time.
 o	o - total amount of metals (162 mg/kg)
 o— «  —o - total amount of metals (586 mg/kg)
 o	o - total amount of metals (2760 mg/kg)
                               94

-------
mination of seeds either did not occur at all or was retarded.
    Recognizing the similarity between the action of toxicants on
the living cell one should recognize the similarity between mecha-
nisms of their action as well.
    The data presented in this paper indicate that the toxic  ef-
fect of chlororganic pesticides on the soil microflora may be ac-
counted for by the disturbance of the dehydration processes which
are of energetical value for the cell. And the decrease in the de-
hydrogenase activity may lead to a decrease in the bi©transforma-
tion processes associated with it.
    Further investigation of the chosen  criterion seems to us per-
spective not only in the practical aspect but also in the theore-
tical one.
                       References

 I. Alekwandrova T. S., Shmurova E. M. The enzymic activity of
    soils. Itogi nauki  i tekhniki. Seriya pochvovedeniye i agro-
    khimiya, v. I, p.p. 5-69, Moscow, VINITI, 1974.
 2. Galstyan A. Sh. On the evaluation of the degree of soil ferti-
    lity from enzymic reactions. In: "Microorganisms in agricul-
    ture", Moscow, Moscow University, 1963.
 5. Konovalova A. S. The enzymic activity as a diagnostic index for
    virgin and cultivated soddy podzolic soils. "Pochvovedeniye'1,
    No. 7, P.P. 29-36,  1970.
                                 95

-------
  4. Mashtakov S. M., Kulakovskaya T. N., Goldina S. M. The activity
     of enzymes and the intensity of respiration as an index of the
     biological activity of soils. Doklady Akademii Nauk SSSR, v. 98
     No.  I,  p.p. I4I-I44, 1954.
  5. Peterson N. V., Kurylyak E. N.  Investigation of initial stages
     of the  organic matter transformation in soils by determining
     the  dehydrogenase activity of microflora in soil samples. In:
     "Microbiological and biochemical methods for investigation of
     soils", Kiev,  "Urozhai", p.p. I2I-I24-,  1971.
  6* Lenhard G.  Die Dehydrogenaseactivitat des Bodens, als Map ftfr
     Microorganisementatigkeit im Boden.  "Zeitschrift fttr Pflanzenexw
     nahrung,  Dungung, Bodenkunde",  Bd.  73 (118)f H.  I, I-II,  1955.
  7, Skujins J.  Dehydrogenase:  an indicator of biological activities
     in arid soils,  Bulletin from the Ecological Research Committee
     Stockholm,  v.  17, p.p.  255-24-1,  1975.
 8,  Stevenson I. L. Dehydrogenase activity  in soils.  "Canadian Jour-
     nal  of  Microbiology", v.  5,  No.  2, p.p.  229-235,  1959.
 9.  Schaefer  R.  L'activite  dehydrogenasique  comme mesure  de I'acti-
    vlte' biologique globale  des  sols. "Annales de 1'Institut  Pas-
    teur", Pari*, 105, No. 2, p.p. 212-217,  I%3.
10. Vyglazova E. G., Borovikova T. I., Chernysh G. P.  Optimization
    of the cleaning of sewage waters from the  vitamin  industry
    using microorganisms. In: "Microbiological  methods for the
    environment contamination control". Collection of  abstracts,
    Puschino, p.p.  20-21, 1975.
                                 96

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II* Bershin G. N. The effect of chemicals upon bacterial cells*
    Moscow, Medgiz, 1952.
12, Bespamyatnov G. P., Bogushevskaya K. K. et al. Maximum per-
    missible levels of toxicants in air and water. Leningrad,
    "Khimiya", 1972.
  * Casida J. E., Klein D. A,, Santoro Th. Soil dehydrogenase ac-
    tivity. "Soil Science", v. 98, No. 6, p.p. 37I-376| 1964.
                                97

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    TRANSFORMATION AND TRANSPORT PROCESSES IN AQUATIC SYSTEMS

                      George L.  Baughman

               Environmental Research Laboratory
             U.  S. Environmental Protection Agency
                      College Station Road
                   Athens,  Georgia  30601, USA


     Dynamics of transformation  and transport are described  in
 terms  of their  controlling environmental parameters.   Recent
 advances in our ability to mathematically describe  the rate and
 extent of microbiological, chemical,  and physical processes are
 discussed and data are presented to illustrate  interrelation-
 ships  between these processes.

     Microbiological rates  have  generally been modeled  using
 Monod  kinetics.   This kinetic model (1)  is described and  the
 effect of isolation and high substrate  concentration on the
 growth constants  demonstrated (2).  When substrate  concentra-
 tions  are low as  in the case of insoluble compounds like  many
 pesticides,  the Monod expression reduces to second-order  rate
 expression (3,4).   Studies of malathion degradation by bacteria
 gave results that agreed within a factor of two  when the  second-
 order  rate constant was measured directly or calculated from
 Monod  constants.   More recent studies  (5,6)  have compared data
 from chemostats,  flasks, and a  simulated stream  system which
 incorporate  both  chemical  and microbial degradation.

    Partitioning  of stable insoluble pesticides  between water
 and microorganisms  has recently been given greater  attention.
 In most  cases this  phenomenon has been  found to  be  rapid, re-
 versible,  and adequately described  by a Freundlich  isotherm or
 partition  coefficient  (3,7,8).   However,  Sugiura et al. (9)
 have reported a two-step process  for accumulation of BHC  iso-
mers.  Some  implications of  partitioning have been  shown  by
 preferential accumulation  in  bacteria of the more water insolu-
ble components of  toxaphene  (10).

    Chemical reactions  in  water  can occur  by many different
mechanisms,  some  of  which  have  been described by Wolfe  et al.
 (11).  However, reaction of pesticides with  water (hydroTysTs)
 is one of  the most  important  chemical transformation mechanisms
 in aquatic systems.   It  has been  shown  that  the  pH  dependence


                               98

-------
of these reaction rates is predictable and that the half-life is
a poor indicator of rate unless reactant concentrations are
specified.  Recent detailed kinetic studies on malathion (12)
and cyanazine (13) have quantified the effect of temperature
and pH over a wide range.  Malathion studies have demonstrated
the effect that temperature (12) and pathway (3) can have on
transformation products.  The use of structure activity rela-
tionships to predict hydrolytic rate constants has been applied
to the case of 2,4-D esters (14) in considering competition
between hydrolysis, photolysis, and volatility.

    The effect of a rapid pre-equilibration step on rate pro-
cesses can be described by an equation of the form


                                     -                        (1)
               dt         1 + K[A]

where [P]_  =  concentration of total pesticide in the system

         K  =  equilibrium constant  (partition coefficient)
         k  =  pseudo-first-order rate constant
       [A]  =  concentration of sorbent  (solvent) in the system,

Effects of sediment partitioning on hydrolytic half-life (15)
and volatilization rate are deomonstrated by data on pesticides
and PCBs.  Singmaster (16) has also applied eq. 1 to DDT hydro-
lysis in the presence of a partitioning solvent.

    Evidence is also presented to support the possible impor-
tance of other chemical reactions as indicated by abiotic meth-
lation of mercury (17), N-nitrosation of atrazine (18), and
degradation of methoxychlor.

    Photochemical transformations are described in terms of
three different processes (11,19):  direct photolysis, sensi-
tized photolysis, and indirect photolysis.  Kinetics of direct
and sensitized pesticide photolysis have been studies for a
number of pesticides in water  (11,14,19,20).

    Under most environmental conditions the pesticide absorbs
only a small fraction of the light, and the rate law is first-
order in pesticide and a function of light intensity.  However,
light intensity in aquatic systems is a function of latitude,
time of day, season, water absorbance, and depth.  A recently
completed computer program  (19) for direct photolysis rates
couples these properties with the spectrum of the pesticide
and its quantum yield.  Data are presented which show the
effect of latitude on photolysis rates of carbaryl and tri-
fluralin.  Agreement between computed and observed half-lives
of several pesticides is discussed.
                               99

-------
     Photolysis rate of parathion in natural waters is approxi-
 mately proportional to water absorbance and independent of the
 water source.   In this case reaction apparently occurs by energy
 transfer and paraoxon and P-nitrophenol are the major products.

     Physical transport from water to air is a pathway that has
 received little attention and its importance for most pollutants
 is poorly understood.  A method (21) for the reaeration capacity
 of streams is  suggested as an approach for volatilization of
 organics (22).   Studies of this type carried out with PCB's in
 our laboratory are presented.  Another technique based on
 Henry's law and average volatilization rates (23,24)  of water
 has been applied to DDT (16), 2,4-D esters (14), and a number
 of other organic compounds (25).


 REFERENCES

 1.   Stumm-Zollinger,  E.,  and R. H.  Harris.   Chapter 23.   in;
     Organic Compounds in  Aquatic  Environments,  Faust,  S.  P~7,  and
     J.  V.  Hunter (eds.),  Mercell  Dekker,  Inc.,  New York.   1971.

 2.   Jannosch,  H.  W.   Growth Characteristics of  Heterotrophic
     Bacteria in Seawater.   J.  Bacterial.   £5:722 (1968).

 3.   Paris,  D. F.,  D.  L. Lewis, J. T. Barnett, and G. L. Baugh-
     man.   Microbial Degradation and  Accumulation of Pesticides
     in  Aquatic  Systems.   U.S.  Environmental Protection Agency
     Research Report.   #EPA-660/3-75-007.   1975.

 4.   Paris,  D. F.,  D.  L. Lewis, and N.  L. Wolfe.   Rates of
     Degradation of Malathion  by Bacteria Isolated from Aquatic
     Systems.  Environ. Sci. Tech.  9_:135-138  (1975) .

 5.  Falco,  J. W., D.  L. Brockway, K. L. Sampson,  H. P. Kollig,
    and J.  R. Maudsley.  Models for  Transport and Transforma-
    tion of Malathion  in Aquatic Systems.   In: The  Proceedings
    of the American Institute  for BiologicaI~~Sciences  Symposium.
    Freshwater  Quality Criteria Research of  the  Environmental
    Protection Agency, Corvallis.  1975  (In press).

6.  Falco, J. W., K. L. Sampson, and R. F. Carsel.  Physical
    Modeling of Pesticide Degradation.  Developments in
    Industrial Microbiology.   (In press).

7.  Grimes, D.  J., and S. M. Morrison.  Bacterial Bioconcentra-
    tion of Chlorinated Hydrocarbon Insecticides  from Aqueous
    Systems.  Microbiol. Ecology.   2_:43-59  (1975).
                              100

-------
8.   Neudorf, S., and M.  A.  Q. Khan.  Pick-up and Metabolism of
    DDT, Dieldrin, and Photodieldrin by a Fresh Water Alga
    (Ankistrodesmus amolloides)  and a Microcrustacean (Daphnia
    polex) «   Bull. Environ. Contain. Toxic.  1.3_: 443-450 (1975) .

9.   Sugiura, K. / S. Sato, and Miki Gato.  Adsorption-Diffusion
    Mechanism of BHC-Residues.  A Consideration Based on Bac-
    teria Experiments as Models.  Chemosphere.  3_: 189-194
    (1975).

10. Paris,  D. P., D. L.  Lewis, and J. T. Barnett.  Bioconcentra-
    tion of Toxaphene by Microorganisms.  Bull. Environ. Contam.
    Toxic.    (In press) .

11. Wolfe,  N. L., R. G.  Zepp, G. L. Baughman , R. C. Fincher, and
    J. A. Gordon.  Chemical and Photochemical Transformation of
    Selected Pesticides in Aquatic Systems.  U.S. Environmental
    Protection Agency Research Report #EPA-600/3-76-067  (1976) .

12. Wolfe,  N. L., R. G.  Zepp, J. A. Gordon, G. L. Baughman, and
    D. M. Cline.  The Kinetics of Chemical Degradation of Mala-
    thion in Water.  Environ. Sci. Tech.   (In press) .

13. Brown,  N. P. H., C.  G.  L. Furmidge, and B. T. Gray son.
    Hydrolysis of the Triazine Herbicide, Cyanazine.  Pestic.
    Sci.   :669~678
14. Zepp, R. G., N. L. Wolfe, J. A. Gordon, and G. L. Baughman.
    Dynamics of 2,4-D Esters in Surface Waters:  Hydrolysis,
    Photolysis, and Vaporization.  Environ. Sci. Tech.  9:1144-
    1150 (1975).

15. Wolfe,  N. L., R. G. Zepp, D. F. Paris, R. C. Hollis, and
    G. L. Baughman.  Methoxychlor and DDT Degradation in Water:
    Rates and Products.  (In press) .

16. Singmaster, J. A.  Environmental Behavior of Hydrophobia
    Pollutants in Aqueous Solutions.   M.S. Thesis.  University
    Microfilm, Ann Arbor, Mich.

17. Rodger s, R. D.  Methylation of Mercury by a Sodium Hydrox-
    ide Extract of Soil.  (In press) .

18. Wolfe,  N. L., R. G. Zepp, J. A. Gordon, and R. C. Fincher.
    N-Nitrosamine Formation from Atrazine.  Bull. Environ.
    Contamin. Toxic.  5_:342-346  (1976).

19. Zepp, R. G., and D. M.  Cline.  Rates of Direct Photolysis
    in the  Aquatic Environment.  Environ. Sci. Tech.  (In
    press) .
                              101

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20. Zepp, R. G., N. L. Wolfe, and J. A. Gordon.   Photodecomposi-
    tion of Phenylmercury Compounds in Sunlight.  Chemosphere.
    ^:93-99 (1973).

21. Tsivoglou, E. C.  Tracer Measurements of Stream Reaeration.
    Federal Water Pollution Control Administration.  U. s.
    Department of the Interior, Washington, DC.   June 1967.

22. Hill, J. IV, H. P. Kollig, D. F. Paris, N. L. Wolfe, and
    R. G. Zepp.  Dynamic Behavior of Vinyl Chloride in Aquatic
    Ecosystems.  U.S. Environmental Protection Agency Research
    Report.   #EPA-600/3-76-001.  1976.

23. Mackay,  D., and A. W. Wolkoff.  Rates of Evaporation of Low-
    Solubility Contaminants from Water Bodies to Atmosphere.
    Environ. Sci. Tech.  7_:611-614 (1973).

24. Mackay,  D., and P. J. Leinonen.  Rates of Evaporation of
    Low-Solubility Contaminants from Water Bodies to Atmosphere.
    Environ. Sci. Tech.  9_:1178-1180 (1975).

25. Dilling, W. L., N. B. Tefertiller, and G. J. Kallos. Evapor-
    ation Rates and Reactivities of Methylen Chloride, Chloro-
    form, 1/1,1-Trichloroethane, Trichloroethylene,  Tetrachloro-
    ethylene and other Chlorinated Compounds in Dilute Aqueous
    Solutions.   Environ.  Sci.  Tech.   9:833-838 (1975).
                              102

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    ESTIMATION OF ORGANOCHLORINE PESTICIDE LOSS IN SURFACE
                     RUNOFF WATERS

     Ts. I, Bobovnikova, E. P. Virchenko, G. K. Morozova,
              Z. A. Sinitsyna, Yu. P. Cherkhanov
       Institute of Experimental Meteorology, Obninsk
         Institute of Applied Geophysics, Moscow

    Pesticide migration in water is one of the major pathways of
their transport in the environment.
    Surface runoff water which occurs at the watershed as the re-
sult of snowmelt or rainfall causes pesticide removal from the wa-
tershed area (agricultural lands and forests) and their entering
rivers and basins.
    Investigations showed that surface runoff from the watershed
was the major source of river water polution with pesticides.
    In spring the channeled runoff of the most plain rivers of the
Soviet Union is formed mainly by snowmelt waters from the water-
shed. It is over this period that one should expect the most pes-
ticide removal from the watershed area and their entering river
channels.
    It is necessary to quantify pesticide loss in surface runoff
waters from the watershed both when considering pesticide transport
                                103

-------
in the environment as  a whole and when predicting surface water
pollution with pesticides.
    The amount of pesticides entering the river network in surface
runoff waters from the watershed depends on a number of factors,
the major factors being pesticide solubility in water and condi-
tions of water runoff from the watershed. It should be noted that
according to the works by Nicholson  [ij , the amount of pesticides
in runoff waters is  affected by the  time interval between the pes-
ticide application and the first surface runoff.
    We investigated  the loss of organochlorine pesticides - DDT
and y -BHC in surface runoff waters  over the period of spring flood
and rainfall.
    Pesticide loss in runoff waters  in spring was studied at the
natural river watersheds where pesticides had not been applied in
the previous 5 years and at the experimental runoff plots when si-
mulating pesticide fallout on the snow cover as well as the loss
of pesticide residual amounts in runoff waters from these plots.
    Pesticide loss in rain runoff waters due to the natural summer
precipitation was studied at the experimental runoff plots installed
at the natural river watershed.
    Pesticide loss in surface runoff waters from the watershed was
characterized quantitatively by the loss coefficient which was de-
termined from the formula:
                             u
                      f s	
                               104

-------
where u is the amount of pesticides lost from the watershed (run-
        off plot);
      Nj is the amount of pesticides at the watershed (0-20 cm soil
        layer);
      Np is the amount of pesticides in the watershed snow cover
        before the snowmelt - in spring;
         or the amount of pesticides deposited with rain - in sum-
        mer.
    Pesticide loss in runoff waters over the period of spring flood
was investigated at two watersheds in the Moskva-river basin: in
its upper course and in one of its tributary. The first watershed
                p
area was 5000 km , two thirds of this area being regulated by the
                                                 o
storage reservoirs, and the second one was 800 km . In spring the
formation of river runoff at the first watershed occurs mainly due
to snowmelt waters from the non-regulated part of the watershed.
This fact was taken into account in the further calculations.
    Water samples were collected every day at the terminal obser-
vation point of a given watershed and required hydrological obser-
vations were carried out. Using the data obtained we calculated the
amount of pesticides (u) lost from the watershed over the period
of spring flood. The amount of pesticides in the watershed soils
(NT) was determined by collecting soil samples (0-20 cm layer) with
regard to their properties and species of crops at the agricultural
lands. The amount; of pesticides in the watershed snow cover (Np)
was calculated from the results of snow survey and determination
                               105

-------
  of pesticide  content in snow samples collected over the whole  depth
  of snow cover.
      The coefficients of pesticide  loss in surface  runoff waters
  calculated from the  above formula  were 0.060S and 0.0926 at the  first
  watershed  and 0.395 and 0.1% at  the second one for  DDT and T-BHC,
  respectively.
      These  results were obtained at the DDT and $" -BHC contents in
  soils  from 5  to 60 ^g/kg and from 0.8 to 4 jug/kg,  respectively,
  and at the DDT  and  ^-BHC concentrations  in water  from 0.03 to
     Apart  from investigations  at  the river watersheds, we studied
  the  ^-BHC loss in  runoff waters  at the experimental runoff plot
  the snow cover of which was treated with  T-BHC before the snowmelt
  and at the  similar  untreated (background) plot (20 m x 5 m in size
  each). The  coefficient of ^-BHC  loss from the treated plot was 3.?%
  and from the untreated one - 0.2^. The depth of water runoff at
  these plots was  approximately 2,5 times greater than that from the
  watersheds  considered above.
     Analysis of  the DDT and ^-BHC loss coefficients obtained in
  spring showed  that first, the loss coefficient value was directly
 proportional to the depth of water runoff, and second, the loss
 coefficient of Just applied df-BHG was an order higher than that
 of its residual amounts.
     Special runoff plots were installed to investigate pesticide
                                           p
  loss in runoff waters due to rainfall,  6 m  each.  We determined the
amounts of pesticides deposited with rain and lost in surface  water
                                106

-------
runoff due to a given rain as well as the pesticide content in soil,
The maximum loss coefficient obtained at the 25,4 mm precipitation
was 2.5 x lO"2^ for 
-------
   HEXA3HLOROCYCLOHE3LANE, METARHOS,  JWD GHLOfiOifiOS JM3OIPOS£DIQN
   IS SOIL  JWD 'JDHEIfi MIGRATION WITH  TH2 ffJfffirJS OJ1 SURFAJE
  by Tarasov M»N«, Korotova L»G«, Demchenko  A»S«, Brazhnikova L.7.
              tfydrochemic al Institutet Novocherkassk
     Great quantities  of chemicals  and  among them pesticides enter
the biosphere due to intensive chemicalization of agriculture. Upon
the influence of different factors the  greater part of pesticides
is decomposed in soil  forming primary products and certain prepara-
tions are preserved in soil for  a long  time due to high persistency,
Systematic usage of persistent pesticides and those with high cumu-
lative properties at vast watersheds occupied by agricultural lands
may result in pollution of natural waters*
    la ord>r to t>redict pollution, of natural bodies by Pesticides,
it is necessary to «tudy the rate of their decomposition in differ-
ent soils, migration capability  as well as to obtain quantitative
characteristics of their removal from Agricultural lands.
                                                  •
     Studies of hexachlorocyclohexane (BHC), metaphos, and chloro-
phos decomposition in  soil, their migration capability PS well as
*he Dosflibility of washing out by su-r-face runoff were carried out
»t four runoff plots with the area 100 sq»m located in ^he zone of
drought steppe.
                               108

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     The soil at the runoff plots was chestnut, semiloamy contain-
ing 3.8^ of humus; ph was 7.45* The plots were treated with BHG and
metaphos twice - in June, 1972 and 1973«  while by ehlorophos only
in June, 1973-
      In 1972  BHC was  applied  at  the  plots  I  and  2  at the  rate  of
 120  g Per  each  plot,  v/hile  st  the  plots  3  and  4  metaphos  was appli-
ed at the rate  of 25  6  Per each plot. In 1973 the first plot was
treated  again by BHC  -3t the same rate, the third plot was treated
by metaphos twice - in June, 10  and  30 at the rate of 52.5 g. The
fourth plot ?/as  plso  treated by ehlorophos twice at the rate of
120 g  and 300 g3 respectively.
      4fc  the beginning of the experiment samples were taken every-
day with gradual increase of the interval between sampling up to
5-10-30 days* Soil samples were  taken at 3-5 points from the
depth  of 0-5, 5-10, 10-20, 20-30,  30-40  and 40-50 cm. "tfater samples
were taken at the outlet of the runoff plots from I to 3  samples
for the  period  of each rain flood*
     Pesticides were  determined by thin-layer chromatography.
     Decomposition rate of pesticides in soil was not uniform  and
depended on meteorological conditions of the year. Dry 1972 was
characterized by high temperature  of air and soil surface in summer
period.  Average monthly temperature  of air in  June was 24 C, in July
26°G» maximum temperature was  4-0 C.  Average temperature of soil at
this period was  3l°C, end maximum  temperature  was 65°C. Small  pre-
cipitation (several rains in June  with total sum of precipitation
47 mm,  and in July 9  mm) resulted  in the absence of runoff for this
                               109

-------
  period.  Therefore in 1972 it was possible to study only the process
  of  pesticide  decomposition in soii.
       1973  T-'ras more humid as compared to 1972.  The temperature  of air
  and soil surface  was lower. Arerage  monthly temperature of air in
  June  was I9°0.  in July - 2l°G,  maximum - 29°C. Average  monthly
  temperature of  soil was 24-°C.  Frequent and abundant rains  (sum of
  precipitation in  June was 109  mm,  in July - 60 mm) were followed
by short-term runoff from the plots.
      In dry 1972 decomposition of BHC in soil proceeded  slowly
  enough.  In 10 days after treatment in the soil 80% of BHC  were
  found, whereas  in 20 days - 65%.  The period of semidisappearance
  was 50 days.  In about 1.5 years the  BHC content decreased  by 99%.
  Residues of the preparation (I - J^g/IOO g)  were found in the
  soil  in  2ycars  after the  treatment (Fig.  IA,  Table I).
                                                      Table I
            Persistency of Pesticides in Soil
t
Pesticides!
t
_ 	 f —
."HO

Met aphos

Shlorophos

DOVP

Year
197?
1973
T972
1973
1972
197*
1972
1973
» Period of semidis- !
j appearence, days |
50
2
3.5
I. 3-1.8
-
0.6-0.8
—
I.4-I.5
Period for 99?5
dis appearence, day;
500
40
17
8-13
—
8-10
-
10-14
                                 110

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                             "t i >y i v i M i »«i V" i i» i x i m
                                     IO73
 PHC, pg/too
300
200
100
                                   B
       Vff [ VH|
                    R< I  »»   i  | ti  I m | Mf I y \
Fig
                                             months
          e in  nexachlorocycxohexo^ie conteut  j.n the upper

     5 cm layer of soil.

     A - Treatment in June,  I>,  I?f2

     B - Treatment j.n Juiie,  IO,  1973

                          ill

-------
     Metaphos was decomposed much faster. In about 3.5 days the
 metaphos content in the soil half decreased.  Disappearance of the
 preparation by 99# was observed on the I?th day,  whereas the  entire
 disappearance was on the 20th day (Fig.  2A).
     In the humid year the period of semidisappearance of BHC  de-
 creased up to 2 days and in 40 days in the soil 1% of the applied
 substance was found (Pig. IB).  During the year the residual amounts
 of  the preparation were still found in the soil.  The  period of
 semidisappearance for metaphos  was 1.3 - I«8  days.  In 8  - 13  days
 the  pesticide removal was 99^i  whereas the entire  removal was ob-
 served in 10  - 14 days (Fig.  2B).
     The  highest rate  of decomposition v/as observed for chlorophos.
 The  period of semidisappearance v/as 0.6  - 0.8 days, and  entire dis-
 appearance was observed in 13 - 15 days.  Together  with chlorophos
 in the  soil its metabolite 0.0-dimethyl-0-(2.2-dichlorovinyl)-phos-
 phate  (DDVP)  was found,  and its amount on the first day  was about
 15 -20;%  that on the  5th day  being 55!% from the sum of toxicants.
 2.5  times  increase  in the treatment rate  did  not influence the cha-
 racter of  chlorophos  and its  metabolite disappearance  (Fig. 3).
     In dry 1972 all the  pesticides  studied were localized in  the
uoper  5  cm layer. They did not  practically migrate to the lower
 horizons.

     Heavy rains in 1973 during the experiment stimulated  pesti-
 cide transfer to the  depth of the  soil.   Chlorophos and  DDVP  were
 the  most  mobile and their concentration in the 5-10 cm layer  v/as
 55 jig  and 25 ju.g/100 sfrespectively;  in the 10-20 cm layer - 30 jug
                                112

-------
            ISOO
            800
            400
                              10
            200
                                     B
                                             Hme
                                               hours)
Fig* 2  " Change  in metaphos content in the upper 5 cm layer of

          soil*

           A-  1972

          B -  1973   ~  I - Treatment in  June,  10,

                         2 - Treatment in  June,  7?0
                               113

-------
1300
 WOO
 300
2000
              IS 00
1000
 900
                                  Time
                    10
                                          is    (24 kou*&)
                        B
Fly* 5  -
       0       9       '0
Chang6 *n chlorophos conten-  and its
in the upper 5 cm layer of soil.
A- Treatment in June, 10, 1973
B - Treatment in June, 30, 1973.
                                           ^^ DDVP (2)
                  114

-------
and 16 jug/ICO g, in the 20-30 cm layer - 16 jug and 12 jug/100 g .
MetaPnos content at the 5-30 cm depth varied from I to 5 jug/100 g.
BHC migrated up to the depth of GO cm. Pesticide concentration in
the soil layer below 10 cm didn't exceed 18 jug/100 g of soil.
      Mathematical processing of tne ootained data according to
                                  i.choice,
the program of approximating equatioxIsTsEowed that decomposition of
the investigated pesticides in the soxi is  givea oy the

                   *>
                  et  + d
where C  - concentration of preparation;
      t - -cime
     a»u,e,d - coefficients.
                                               (I)
                / values for dry  and. humid year  differ by  many
times*
      £*or exampj.et tne equatio^  for metaphos decomposition under
the dr,y year xs given oy:
               '   (-O.OOOy)-t  + (-0.0021)
     for the humid year
                   (-0.0022)*Ti  + (-0.0001)
     Study of pesticide removal oy  surface runoff  from the eXPeri-
     JL runoff piots  showed that its value is proportioned directly
to tae quantity of applied pesticide  and runoff volume and In-
                                115

-------
          to  tue  period Det;weeu tresciueut; of the fieid  aud the
beginning of tJie flow*
     Pesticide removal didn't exceed O.UJJS for BHC* 0.04% for
metapnos,  a^d 0»^^ for cnxurupnos (together v/itn DDT/P) of the
          applied (Tauie 2)»
                                                 Taole 2
           Pesticide Remova-i-  with Surface
                        ^        Pesticide .Removal, from I ha
    Pesticide           '  	~	#	
  BHC                           ^*u               0.03
Metapnos                    0.0/-2-55         0.001-0.04
Ghloropnos  + DDVP           0.2-67-5         0.002-0.
                              116

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           PARTITIONING AND UPTAKE OP PESTICIDES IN
                      BIOLOGICAL SYSTEMS
                       Eugene E. Kenaga
                     Dow Chemical U.S.A.
     Natural bodies of water, blood and plant sap were compared
as aqueous flow systems for transporting pesticides and other
chemicals.  The uptake and distribution of pesticides in bio-
logical systems were related to water solubility; volatility
from water; adsorption to soil organic matter, plant and animal
organisms in aquatic ecosystems; effects of temperature; type of
flow system; route of pesticide intake; specific types of organ-
ism tissue; and ratio of biomass to surface area for sorption.
Differences between bioadsorption and bioabsorption were dis-
cussed.  Partition coefficients between n-octanol and water;
soil and water; and water and air are important guides to the
bioaccumulation potential of pesticides.

     Pesticides, just like other chemicals, are taken up and dis-
tributed in gas, liquid, and solid phases of the environment.
They distribute by flow systems (mainly water or air) to sur-
faces to which they adsorb to and are often absorbed by living
organisms and return changed or unchanged to flow systems inside
or outside of organisms.  Three important environmental aqueous
flow systems are bodies of water, blood, and plant sap which,
while variable in flow rate, have the ability to rapidly dis-
tribute solutes and particulates to adsorptive surfaces, organ-
isms, organs, and/or cells.  These three transport systems are
composed percentage-wise mainly of water? however, they contain
small amounts of many chemicals with similar functional groups
in common which modify the dominance of water.  Because of these
distribution systems, partitioning of pesticides in and from
flow systems can be expected to occur onto surfaces according
to inherent physical and chemical properties of the pesticide
such as volatility, water and fat solubility, and sorption to
Dow Chemical U.S.A., Midland, Michigan  48640

                               117

-------
 solids in the presence of flow systems.  Plant and animal or-
 ganisms contain and release water,  food, and pesticides by par-
 titioning them through surfaces,  organs, and cell barriers.

      Pesticide volatility from water appears to increase with
 increasing amounts of  water evaporation, and decreasing water
 solubility.   Thus, even DDT is relatively quite volatile from
 water;  however,  this may be influenced by cosolvents  (such as
 soil organics)  or  competitive  adsorptive surfaces of soils in
 water such as soil particulates or  plants or animals.

      Sorption of most  pesticides, while variable on the mineral
 portion of soil, is mainly  correlated with the soil organic mat-
 ter  content which  has  ingredients having sorptive capacity for
 both ionized  and unionized,  and fat and water-soluble pesti-
 cides.   The effect of  the pH of soil on sorption of acidic and
 basic compounds  may also be  important.  Sorption on soil and
 organisms  takes  place  most  rapidly  under the greatest concentra-
 tion differential  between the  flow  system and sorptive surface.
 Typically  well over 50%  of  the  total adsorptive uptake of pesti-
 cides occurs  in  the first few hours of exposure.  While the
 total amount  of  pesticide adsorbed  on carbon and algae increases
 with increasing  concentration in the flow system (water), the
 concentration factor may decrease with increasing pesticide con-
 centration in water.   Clearance of pesticides from tissues is
 not  necessarily  at  the same  rate as uptake, and is often slower.
 Other factors affecting  adsorption  are temperature, speed of
 circulation of the  flow  system, ratio of biomass to flow system
 volume, and mode of  intake of pesticide into the organism.

     The distribution  of DDT and other stable chemicals in fat
 of animal  organisms, if given sufficient time for equilibration,
 appears to roughly  correlate with the n-octanol:water partition
 coefficient obtained as a guide to the~bioconcentration factor
 in fat tissues of animals from  aqueous sources.  This factor
 alone can be  somewhat difficult to correlate with fat under some
 conditions since, in fish, fat  is variously distributed in
 tissues at different ages, stages of sexual development, and
 seasons of the year, sometimes being rather uniformly distribu-
 ted and other times not.  Also  some fat tissues appear to be
more rapidly metabolized than others and, therefore,  release
pesticides into  the blood at various times of stress  or accord-
 ing to the need  for the fat.  The greater the number  and volume
 of components in an ecosystem,  the greater the complexity of the
distribution  of  the available pesticide from water, and less
 likely the expectation of extremes in bioaccumulation.  The
 distribution  of  a water and organic soluble compound  like
 dalapon as indicated by the n-octanol:water partition coeffi-
 cient, is  in  great  contrast to DDT, since it does not volatilize
 at a rate  significantly different from water, nor partition in
 favor of animal  organisms, or their fat,  but does accumulate in
 some plant organisms.  Herbicides like 2,4-D and 2,4,5-T

                               118

-------
partition somewhat similarly to dalapon,  but when made into  an
oil soluble (the butyl ester)  form,  the octanoltwater  partition
coefficient is considerably higher.   However, this is  not very
significant in nature since the ester bond is not very stable in
animal organisms, and thus the ester does not continue to bio-
accumulate like DDT.  Every chemical has  a uniqueness  in its
combination of physical and chemical properties,  and in the  way
in which it will act in the environment.

     From pesticide bioaccumulation data  it is apparent that the
first period of residue pickup is due to  adsorption and is often
related to high surface area to mass ratio of the adsorbent  and
may result in high residues.  With many pesticides no  further
significant uptake of residue after the first day is made during
a continued exposure period of days or weeks.  However, if the
pesticide is high in fat solubility, low  in water solubility
and persistent in the environment, a continued increase in resi-
dues may take place over time until a steady state (equilibrium)
point is reached in live organisms.   Such residue pickup is  by
absorption and such bioaccumulating chemicals can be detected at
an early stage by obtaining early baseline residue levels for
comparison with later levels.  Other very useful  partition coef-
ficients to obtain in addition to n-octanol to water are soil
organic matter to water, and water to air.  These partition  co-
efficients can be calculated roughly from predetermined con-
stants of water and n-octanol solubility  and vapor pressure.
These calculated coefficients are useful  in determining poten-
tial of pesticides for leaching through soil, and uptake and
distribution throughout the biota.  Distribution  coefficients
of soil organic matter to water, and of aquatic animal organisms
to water, are often of the same order of  magnitude.

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                                119

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Smith, G.E. and B.G. Isom.  Investigation of Effects of Large-
Scale Applications of 2,4-D on Aquatic Fauna and Water Quality.
Pest. Mon. J. 1(3):16-21  (1967).

  ith, G.N., B.S. Watson, and F.S. Fischer.  The Metabolism of
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Smith, G.N., F.S. Fischer, and R.J. Axelson.  The Volatilization
and Photodecomposition of Plictran® Miticide.  Unpublished
Report.  The Dow Chemical Company, Midland, Michigan.  February
(1970).
                               123

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 Chlorpyrifos. Unpublished Report.   Chemical Biology  Research,
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 Smith,  G.N.,  Y.S. Taylor,  and B.S.  Watson.  Ecological  Studies
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 Smith,  G.N.,  Y.S. Taylor,  B.  S. Watson.   Ecological Studies
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 Stevenson,  F.J.   Organic Matter Reactions Involving Herbicides
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 Walker, C.R.   Chemicals  and Their Effects  on Our Aquatic Envi-
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 Weber, W.J.,  Jr.  and  J.P. Gould.  Sorption of  Organic Pesticides
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 Wershaw,  R.L., P.J. Bucar,  and M.C. Goldberg.  Interaction of
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 Whitney, W.K. and E.E. Kenaga.  Distribution and Sorption of
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 Whitney, W.K. and E.E. Kenaga.  Bioassay Experiments to Deter-
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                               124

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                               125

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                PESTICIDE TRANSPORT AND TRANSFORMATION IN PLANTS

                                D.  Stuart Frear*
                    United States Department of Agriculture
                                Julius J. Menn**
                           Stauffer Chemical Company


      Pesticide  use  for  crop  protection  in the  United States has increased
 dramatically over the last 20 years.   Sales at the  user  level  ($MM)  in  1975
 were  estimated at 1,780 with a projected increase  to 2,955 by 1980.  The most
 impressive gains have been  in  the  use  of  herbicides (651),  followed  by
 insecticides  (25%)  and  fungicides   (61).    In the  past ten years, increased
 registration requirements and  environmental  safety   concerns  have  prompted
 rapid  developments in research on the behavior and fate of these chemicals in
 higher plants.   Major pathways of  absorption,  movement,   and  metabolism  have
 been  established for many herbicides and insecticides and a limited number of
 fungicides.

      Metabolism studies have shown that pesticides  undergo  similar  biotrans-
 formations   in   both  plants  and  animals.   Principal  reactions  include:
 oxidation,  reduction,  hydrolysis,  and/or conjugation.    Conjugation  reactions
 are   of particular  importance in  plants  because,  in contrast to animals,
 conjugated plant metabolites are not  excreted.  Instead,  they may be stored or
 incorporated into insoluble "terminal"  residues and ultimately degraded in the
 environment  or  ingested by animals, including man.

      Pathways of metabolism are affected by pesticide application methods  and
 different  routes  of  absorption by the  plant.  In  the soil, pesticides may be
 transformed  by microorganisms prior to root uptake while  foliar  applications
may result in photolytic and/or hydrolytic action prior  to absorption by fruit
or  foliage.   Tissue  differences  in  metabolism  also may be a factor in the
disposition  of pesticide metabolites.   Other  factors  that  may  affect  the
behavior  and  fate  of pesticides  in plants include:   interactions with other
pesticides   or  chemicals,  growth  and  development,   environmental   stress,
nutrition, disease and genetic variations.
*Metabolism  and  Radiation  Research  Laboratory, United States Department of
Agriculture, Agricultural Research Service, State University  Station,  Fargo
North Dakota  58102.                                                         '
**Biochemistry  Department,  Mountain  View Research Center, Stauffer Chemical
Company, Post Office Box 760, Mountain View, California  94042
                                      126

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     Selected  examples  of  herbicide  and insecticide metabolism studies are
presented to illustrate the  advantages,  disadvantages,  and  limitations  of
current   research  approaches  to  investigations  of  pesticide  uptake  and
transformation in higher plants.

INSECTICIDE STUDIES

     Recent plant metabolism studies  (22,  24,  25)  have  focused  on  three
thioaryl  organophosphorous  insecticides:   fonofos  (0_-ethyl  S_-phenylethyl-
phosphonodithioate),  N-2596    (0-ethyl   S-4-chlorophenyl   ethylphosphonodi-
thioate),   and   carbophenothion   S-{(p-chlorophenylthio)methyl}0,0,diethyl-
phosphorodithioate.  The metabolic fate of  these  compounds  in  animals  was
reviewed recently  (26).

     The  fate  of  fonofos  was studied in Irish potatoes as a representative
root crop.  In separate but identical  experiments,  sprouting  potato  pieces
were  planted  in  soil  containing  2.64  ppm (a-ethoxy-^C) or (phenyl-^C)-
fonofos.  Plant material, including foliage, tuber peel, and pulp was analyzed
through 87 days after planting  (22).

     The proposed metabolic pathway of fonofos in the potato plant is shown in
Figure 1.  Metabolites were isolated  and  identified  by  thin-layer  chroma -
tography,  radio-gas  liquid  chromatography,  hydrolysis, enzymatic cleavage,
derivatization and mass spectrometry.  Fonofos is metabolized  extensively  to
phosphonic  acid  derivatives;  0-ethylethane-phosphonic  acid   (EOF)  and  0-
ethylethanephosphonothioic acid l^TTP).  Only trace amount of  the  0-ethyl  S-
phenylethylphosphonothiolate    (oxon)  were  recovered  suggesting  that  thTs
metabolite may be a reactive intermediate and  degrades  rapidly  to  EOF  and
thiophenol (PSH).  The leaving thiophenyl moiety of fonofos and/or its oxon is
metabolized  via  S-methylation  and  sulfoxidation  to  methyl phenyl sulfide
(PhSMe), methyl phenyl sulfoxide (PhSCMe), methyl phenyl sulfone (PhS02Me) and
unidentified polar  products,  possibly  conjugates.   Based  on  the  overall
similarity  of the metabolic pathway of fonofos in animals  (23) and the plant,
it is suggested that the polar plant products contain the PhS02Me moiety.  The
S-methylation  reaction   provides   an   efficient   means   for   thiophenol
detoxification and has not been reported previously in plants.

     Metabolism studies with  (phenyl-l ''C) N-2596 in corn plants are summarized
in Figure 2.  Plants were grown to maturity in soil treated at the rate of 6.0
ppm  N-2596.   In  addition to S-methylation and sulfoxidation, the cleaved 4-
chlorothiophenyl moiety was  oxidized  to  4-chlorophenyl  sulfonic  acid   (4-
ClPhS03H)  by  another  pathway.   The  sulfonic acid was the major "terminal"
metabolite of N-2596 in the plant and accounted for  48.71  of  the  recovered
radiocarbon.   This  metabolite was also  identified in rat urine  (27).  Again,
the 0-ethyl S-4-chlorophenylethanephosphonothiolate (oxon) appears as  a  very
minoF metabolite in the plant, but may serve as a reactive intermediate in the
formation  of  4-chlorothiophenol (4-C1PSH) and subsequent metabolic products.
However, the same metabolic products could also arise directly   from  cleavage
of  N-2596.   It   is  noteworthy  that  apparently  no  thioaryl hydroxylation
products were detected in plants either as free phenols or as conjugates.   Of
the  total  radiocarbon  recovered  in  plant  tissues,   75%   (4763  ppb)  was
identified, 11%  (697 ppb) were  unknown products and 15%  (970 ppb) was ' "bound"
                                      127

-------
 or unextractable radiocarbon.  The total radiocarbon in mature corn plants was
 calculated as 6.43 ppm equivalents of N-2596.

      Carbophenothion,  with  a  thio-ether  moiety,  presents  a  more complex
 metabolic pathway in  animals  (3,  26)  and  plants  (2,  25).   Under  field
 conditions, following application to lettuce (2), carbophenothion was oxidized
 to  its  sulfoxide  (II) and sulfone (III) and to the thiolophosphate CIV) and
 its sulfone (VI) (Figure 3).  Trace levels of these  oxidation  products  were
 present  up to 14 days after treatment.  When (phenyl-llfC)  carbophenothion was
 applied as an emulsion to foliage and maturing  fruit  of  a  greenhouse-grown
 orange tree,  much of the dose was lost through volatilization and, to a lesser
 extent, by metabolic transformations (24),  Thin-layer chromatographic and co-
 chromatographic  analyses  of  plant  tissue extracts with reference standards
 established the presence of carbophenothion and all  five  oxidation  products
 (II,   III,  IV,  V,  and VI), in the foliage and the orange peel but not in the
 juice and pulp.  Of the applied radiocarbon, polar unknowns accounted for 7.1%
 in foliage, 13.1% in peel,  and 0.5% in juice and  pulp.    These  studies  also
 established  that  essentially  no  radiocarbon  was translocated to untreated
 fruit and foliage.

      As indicated in the introduction,  these three studies  are  indicative  of
 some   of  the  difficulties encountered in the isolation and identification of
 polar plant metabolites and "bound" residues.   Furthermore,   as  indicated  in
 the  case  of  carbophenothion,   it  is  difficult  to separate photolytically
 induced biotransformation products from those formed by action  of  the   plant
 itself.

 HERBICIDE STUDIES

      Metabolism  studies with monuron {3-(4-chlorophenyl)-l,l-dimethylurea},
 other   substituted    3-(phenyl)-l,l-dimethylurea   herbicides,    and    their
 metabolites  have established the major pathways of urea herbicide  metabolism
 in  cotton and  other  plant  species   (7,   8,   10)   (Figure   4).   An initial
 sequential oxidation  of  N-methyl  groups  is  catalyzed by  a microsomal  mixed
 function oxidase (5,  7,  28,  36).   Unstable N-hydroxymethyl   intermediates  are
 either    conjugated    as  0-glucosides   or   degraded  rapidly  to less   toxic
 demethylated products  and formaldehyde  (5,  7,  8,  37).  Hydrolytic formation of
 substituted anilines  is   negligible.   A second   oxidative   pathway  of  urea
 herbicide metabolism has  been reported recently  (10,  20,  21).  Monuron and  its
 demethylated     metabolites,      3-(4-chlorophenyl)-l-methylurea    and    p_-
 chlorophenylurea, may  also be aryl hydroxylated   and  conjugated  as  phenolic
 glucosides.

     Comparative metabolism  studies with tomato,  pepper,  cotton,  okra, peanut,
 soybean   and  tobacco  plants  show that  diphenamid  (N,N-dimethyl-2,2-diphenyl-
 acetamide)  is metabolized primarily via  a sequential  oxidative N-dimethylation
 pathway  similar  to the substituted 3-(phenyl)-l,l-dijneth.ylurea herbicides  (14,
 15, 16,  17) (Figure  5).  Aryl hydroxylation  is a minor pathway in most of  the
 plant  species   studied   and  hydrolysis of  the amide bond is negligible.  Two
major glycoside  conjugates have been isolated from  diphenamid-treated  tomato
 plants   and  identified   as the glucoside and the gentiobioside of the initial
 oxidative   N-demethylation    intermediate,   N-hydroxymethyl-N-methyl-2,2-di-

                                     128

-------
phenylacetamide  (13).  Low level ozone fumigation (10-34 pphm) of diphenamid-
treated tomato and pepper  plants  stimulates  glycoside  formation,  but  has
little  effect  on  root  absorption, translocation, or pathways of metabolism
(13, 14, 15, 16).

     Three metabolic and detoxication pathways have been established for  sub-
stituted 2-chloro-s-triazine herbicides in higher plants (31)  (Figure 6).  The
principal pathway in tolerant plants involves a rapid initial conjugation with
glutathione  (18).   The  enzyme  responsible  for  glutathione conjugation, a
glutathione S-transferase, has been isolated and partially characterized  from
corn  (6,  7).   It  is  a major factor in the tolerance and selectivity of 2-
chloro-s_-triazines in corn, sorghum and sugarcane (18, 29,  30,  32).   Recent
studies  (19) show that initial glutathione conjugate formation is followed by
a series of additional biotransformations in  sorghum.   The  heterocyclic  s_-
triazine  ring  structure  remains  intact and appears to be incorporated into
insoluble plant residues (31).  Feeding studies with rats and sheep show  that
insoluble  plant  residue  fractions are rapidly excreted in the feces and not
incorporated into body tissues (1).

     In studies with excised pea and  peanut  tissues  and  with  peanut  cell
suspension  cultures,  the  initial  metabolic  reaction  of flurodifen  (2,4'-
dinitro-4-trifluoromethyl-diphenylether),  is  a   glutathione   S-transferase
catalyzed  cleavage  of  the  diphenylether bond (9, 33) (Figure 7).  Cleavage
products of the reaction  are  S-(2-nitro-4-trifluoromethylphenyl)-glutathione
and  p_-nitrophenol.   The phenolic cleavage product is rapidly conjugated with
glucose to yield p_-nitrophenyl-B-D-glucoside.  Subsequent  metabolism  of  the
flucoside  results in the formation of p-nitrophenyl-6-0-malonyl-3-D-glucoside
(34).  Further metabolism of the glutathione conjugated cleavage product  also
occurs   and  recent  studies  (35)  have  identified  S-(2-nitro-4-trifluoro-
methylphenyl)-N-malonyl-cysteine as a major fluorodifen metabolite in peanut.

     Cisanilide    (cis-2,5-dimethyl-1-pyrrolidinecarboxanilide)    metabolism
studies  with excised leaves and cell suspension cultures of carrot and cotton
have  been  compared  (11).   Initial  oxidation   products,   2,5-dimethyl-l-
pyrrolidine-4'-hydroxycarboxanilide        and        2,5-dimethyl-3-hyroxy-l-
pyrrolidinecarboxanilide, are conjugated as 0-glucosides (Figure 8).   Little,
if  any, hydrolysis of the herbicide molecule occurs.  Recent  studies indicate
that the initial phenol  oxidation  product  of  cisanilide  metabolism   (2,5-
dimethyl-l-pyrrolidine-4'-hydroxycarboxanilide)  is the precursor of a "bound"
residue fraction associated with the cell wall  (12).  Animal feeding and  soil
degradation  studies indicate that the bioavailability of this "bound" residue
fraction is limited.

CONCLUSION

     Future research on  pesticide  transport  and  transformation  in  plants
should  include:  the development of better methods and new techniques for the
isolation, identification, and analysis of metabolites, degradation  products,
and terminal residues; increased studies on pesticide interactions; additional
studies  to  determine  the  significance  of environmental stress and genetic
variation of factors affecting pesticide behavior, persistence and  fate;  and
                                      129

-------
 expanded  efforts  to  isolate  and  characterize  key enzymes responsible for
 pesticide metabolism and detoxication.

 REFERENCES

 1.   Bakke, J. E., R. H. Shimabukuro, K. L.  Davison,  and  G.  L.  Lamoureux.
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 2.   Coffin, D. E.  1964.   J. Assoc. Off. Anal. Chem.  47:662-667.

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 5.   Frear, D. S., H. R. Swanson,  and F. S.  Tanaka.    1969.    Phytochemistry
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 6.   Frear, D. S.  and H. R. Swanson.  1970.  Phytochemistry.   9:2123-2132.

 7.   Frear, D. S., H. R. Swanson,  and F. S. Tanaka.    1972.    In:    Structural
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 8.   Frear, D. S.  and H. R. Swanson.  1972.  Phytochemistry.   11:1919-1929.

 9.   Frear, D. S.  and H.  R. Swanson.   1973.  Pest. Biochem.   Physiol.    3'473-
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 10.   Frear,  D. S.  and H. R. Swanson.   1974.  Phytochemistry.   13:357-360.

 11.   Frear,  D. S.  and H. R. Swanson.   1975.  Pest. Biochem. Physiol.   3:73-80.

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      11, PEST, American Chemical Society Meeting.

 13.  Hodgson,  R. H.,  D.  S.  Frear,  H. R.  Swanson, and  L. A. Regan.   1973.  Weed
     Sci.   21:542-549.

 14.  Hodgson,  R. H.,  K. E.  Dusbabek, and B.  L.  Hoffer.   1974.   Weed Sci
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 15.  Hodgson,  R. H. and B.  L. Hoffer.  1974.  Abstract Number  38, Weed Science
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 16,  Hodgson,  R. H. and B.  L.  Hoffer.   1975.   Abstract  Number  170,  Weed
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17.  Hodgson,  R. H. and B.  L.  Hoffer.    1976.   Abstract  Number   197.   Weed
     Science Society American Meeting,  p.  82.

18.  Lamoureux, G.  L., L. E. Stafford, and  R. H. Shimabukuro.  1972.  J.  Agr
     Food Chem.  20:1004-1010.

                                     130

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19.  Lamoureux, G. L., L. E. Stafford, R. H. Shimabukuro, and R. G,  Zaylskie.
     1973.  J. Agr. Food Chem.  21:1020-1030.

20.  Lee, S. S. and S. C. Fang.  1973.  Weed Res.  13:59-66.

21.  Lee, S. S., D. A. Griffin, and S. C. Fang.  1973.  Weed Res.  13:234-235.

22.  McBain, J. B., L. J. Hoffman, and J. J. Menn.  1970.  J. Agr. Food  Chem.
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23.  McBain, J. B., L. J. Hoffman, J. J. Menn, and J. E. Casida.  1971.  Pest.
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24.  McBain, J. B., J. P. Wren, and J. J. Menn.  1976.  Unpublished data.

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27.  Miaullis, J. B., L. J. Hoffman, J. R. DeBaun,  and  J.  J.  Menn.   1976.
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33.  Shimabukuro, R. H., G. L. Lamoureux, H. R. Swanson, W. C.  Walsh,  L.  E.
     Stafford, and D. S. Frear.  1973.  Pest. Biochem. Physiol.  3:483-494.

34.  Shimabukuro, R. H., W. C. Walsh, G. E.  Stolzenberg,  and  P.  A.  Olson.
     1975.   Abstract  Number  171, Weed Science Society American Meeting,  p.
     65.

35.  Shimabukuro, R. H., W. C. Walsh, G. E.  Stolzenberg,  and  P.  A.  Olson.
     1976.   Abstract  Number  196, Weed Science Society American Meeting,  p.
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36.  Tanaka, F. S., H. R. Swanson, and D. S.  Frear.   1972.    Phytochemistry.
     11:2709-2715.

                                      131

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  37.  Tanaka, F. S., H. R. Swanson, and D. S.  Frear.   1972.   Phytochemistry.
      11:2701-2708.
     -OCH3

     EOP-CH:
      A
      I
C2H5
EOP
 A
     ETP
       i
    -SCH3

   ETP-CH:
                        Oxon
     \
Fonofos
                  "O
                                           PSH
                                                             PhSMe

                                                                S-CH
                                                        PhSOMe
                                                          1
                                                            -CH,
                                                            CONJUGATES
    Figure 1.  Proposed metabolic pathway of fonofos in potato plant (22).
                                  132

-------
                  Cl
                  s-
                                   OC2H5
                           N 2596

                         17 ppb, 0.3%
          C'\   /
             4-CIP3H
     i
o
  4-CIPhSM«
            4-CIPhSOM«

           67 ppb, 1,0%
               i
           Cl
          S-CH,
          II   O
          0
           4-ClPhS02Me

          1526 ppb, 23.7%
                                        Cl-      sOH



                                           4-CIPhSOH
                                         Cl
                                         OH
                                4-CIPhS02H
                                    1
         0

         -S-OH
         II

         0

 4-CIPhSOjH


3130 ppb, 48.7%
Figure  2.  Proposed metabolic pathway of N-2596 in mature corn plants.
                               133

-------
                   s
                   II
           (C2H60)2PSCH2S
                        I
               I  /O
      Cl
L\ 0
                       0    0
               (C2H50)2PSCH2S-R
                            0
                     VI
                                                L =  Lettuce
                                                0 -  Orange
Figure 3.  Oxidative metabolism of carbophenothion in lettuce and orange.
                               134

-------
 MtTHANOL-INSOLUBLE
      RESIDUE
"UDPG< GLUCOSYL        "MICROSOMAL        "MICROSOMAL      ' "UDPG- GLUCOSYL
 TRANSFERASE"      N-DEMETHYLASE"   ARYL  HYDROXYLASE"     TRANSFERASE"
        Figure 4,  Monuron metabolism in plants  (8,  10,  20, 21).
                                  135

-------
U)
en
                "UDPG: GLUCOSYL
                 TRANSFERASE"
 "MICROSOMAL
N-OEMETHYLASE"
   "MICROSOMAL
ARYL HYOROXYLASE"
"UDP6= GLUCOSYL
 TRANSFERASE"
                          Figure  5.  Diphenamid metabolism in plants (14, 15, 16, 17).

-------




OH S^


"N-DEALKYLATION"


*
OH ^X^
N-X^N
J^lll
H2N IjT NR2orR,


"ti_r\rAi ifvi ATirklJ1*
BENZOXAZINONE
CATALYZED HYDROLYSIS
^S
OLUTATHIONE
S-TRANSFERASE
^^ "N-DEALKYLATION" ^S.
x^ t ^Ss

1
Cl
jL OLUTATHIONE 	
N^_TN ____— S-TRANSFERASE
Jfll
M fcl tJ fcl D 
'CARBOXYPEPTIDASE'
1
f
WvSCyt
*£**
1>J| Jl
"t{j ** H"*"''
"r-OLUTAMYL
TRANSPEPTIDASE"
1
SCy,
"N-DEALKYLATION
                     BENZOXAZINONE
                  CATALYZED HYDROLYSIS
                                                            HNCy*
                           HOOC-CH-CHt-S-CHg-CH-COOH

                                NH.        HN
       R, • -CHj-CHj
                                      UNIDENTIFIED
                                 SOLUBLE AND INSOLUBLE
                                        PRODUCTS
(T) • PHYTOTOXIC
(PT) « PARTIALLY DETOXIFIED
(N) • NON-PHYTOTOXIC
                 Figure 6.   Atrazine  metabolism  in  sorghum (19).
                                         137

-------
CO

CO
                                              CHOH
                                "UDPG<
                               glucosyl

                             transferase"
                                  Glutathione
                                 S-transferase
                                                                                      0
                                                                                      ii
     HOOC-CHt-C-0-CH2


'Malonyl CoA*
  molonyl

transferase"
                              "Corboxy peptidase"        "T-glutamyl transpeptidose"
                        SG	^	,

                                       "Malonyl  CoA=  malonyl  transferase"
                   'Shimabukuro et al., 1973; 1975; 1976
                               Figure 7.  Fluorodifen metabolism in peanut (33, 34, 35).

-------
"UDPG=glucotyl

  transftroM*
GIcO
                                                  CH,
     'UDPG'Qlucotyl

      tran*ftrof«"
                                                   CH,
N-C-N
H
                                                           -OGIc
                                                   CH9
        Figure 8.  Cisanilide metabolism in plants  (11, 12).
                               139

-------
           PATHWAYS OF PESTICIDE DISSIPATION AND
                    DECOMPOSITION
      Weintraub F.P., Vylegzhanina G.F., Dron L.P., Kejser L.S.,
               Nesterova I.P., Patrashku F.I.
      Ail-Union Institute for Biological Methods of Plant
                   Protection, Kishinev
     Modern idea of pesticide danger is connected with their de-
composition and transformation in the environment and circulation
of the parent compounds as well as metabolites in all the links
of their transformation cycle. Thus it is important to determine
the factors, responsible for decrease and dissipation of the
compounds.
     For some years the scientific workers of our laboratory  on
analytical  chemistry have  been studying the effects  of light,
temperature, humidity, wind  speed, hydrolysis and other  factors
on the stability of gardona,  methylnitrophos, cianox,  phosalone,
phthalophos( imidane)and  s-triazines on/in plant, soil by  means
of thin-layer-, gas  chromatography and other methods of analysis.
      In model studies under laboratory and field conditions the
 sunlight  and air temperature  at which  the interaction with
                                140

-------
    Plant occurs, were proved to be the main  factors,  that  con-


      e "to gardona decrease and conversion on the  treated apple
      ardona, exposed to the sunlight, decomposes  into  a number


   Products,  the main of them being cis-isomer of  gardona. The


  ganochlorine metabolites (2,4,5-trichloroacetophenone, 2,4,5-


  lciilorophenoacyl chloride and oth.) were detected in signifi-


     y lower  amounts. The kinetics of gardona phot ode compos it ion
Atasl .a

     ormation of the photolysis products under UV- and sunlight
"1 Vl^*!

     ence  nav® been studied.  The kinetic photodecomposition


       vpig.I) of chemically  pure and technical gardona under


     &*•* influence show that  the technical product decomposes
     n "    studies  on  the  dynamics of gardona decrease on apple


          fruits  (Pig. 2) protected and non-protected against
    es
          +u
        ,  tne latter was shown to be an essential factor  in  the

        ,VP
        °i gardona decomposition.


      11 "tiie interaction of gardona with the plant other meta-


        are also formed, of which 2,4,5-trichlorophenyl ethanol

        «y»xi v
        anci bound state is the most interesting one. In this case
Q.A /\

     P°8ition rate of gardona depends on air temperature. Other
f ft f\ 4«

      8    the  environment (wind, rain falls) influence  insig-



           gardona decrease off the plant.


       ile studying the evaporation rates of methylnitrophos-
    ..

     lmethyl-0-(3-methyl-4-nitrophenyl)-thio-phosphate and cia-
 f\
                              141

-------
 50
 10
      10
70
10
30
50 h
                                             -C/T, ,!•  '.'< ' i '•
      Pig-. I. The kinetic curves of the photoalteration  of

              Gardona by sunlight.
              The irradiation: I - of the thin film  of
              chemical pure Gardona; II - of the  thin-
              film of wettable powder.

              The kinetics curves: a - Gardona, b- cis-
              isomer of Gardona, c - the ratio cis/trans,
              d. - 2,4,5 -trichlorophenacyl  chloride.
nox-0,0-diraethyl-0-(p-cyanophenyl)-thiophosphate under  controlled

laboratory and field conditions*the compounds were  shown  to

disappear quickly from the glass surface. Supposing that  the

process of insecticide loss is similar to the process of  radio-

                               142

-------
100
                   8
12
8
12
days
      Fig.2. The dinamics of Gardona breakdown on leaves  (A)
             and apples (B).
             I - protected from sunlight
             2 - exposed to direct sunlight
             3 - dynamics of cis-isomer Gardona
             4 - the duration of day light, hours
             5 - min,temperature of air,
             6 - max. temperature of air.
                                 143

-------
 active  decay,  the  constants  of  loss  rates  and periods  of  their
 "half-life" were calculated.  These data  are  presented  in  Table I,
 The  lose  rate  sharply  increases with the increase  of air  tempera-
 ture and, hence, the substrate  temperature.  Humidity increase  from
 55+5% to  90+5$ influences evoporation to a less extent. Pig. 3
 shows the curves of cianox loss in dependence on the sum  of tempe-
 rature, humidity, formulation effects and  their interaction.
     Methylnitrophos hydrolysis rate  was studied in dependence on
 the pH. Cianox hydrolysis was studied in dependence on medium  pH
 and temperature* The data obtained indicated that methylnitrophoe
 and cianox as well as the oxygen analogue  of the latter are rather
resistant to the hydrolysis in  neutral and slightly acidic media.
 In comparison with the initial  compound  cianox oxygen  analogue is
hydrolyzed in neutral and slightly acidic  media 2 times quicker.

                                         Table I.
   The  half-life periods of  methylnitrophos  and cianox residues
   on the glass surface  at 20-22  and 40°C  (air humidity 55+5%)
    Compounds         :Methylnitro- :   Cianox,        :    Cianox,
                      phos,  c.e.        c.e.               w.p«
The half-life : 20-22°
40°
17,0
9,3
29,1
2,8
21,1
2,1
               c.e.  - concentrate emulsion
                w.p. - wettable powder
                               144

-------
Thus, methylnitrophos and  cianoz are characterized by comparatively
high volatility but are rather resistant  to the hydrolysis. Being
low polar insecticides they are mainly evaporated from the treated
surface* This is confirmed by our data on methylnitrophos and
        150°
      g
      s
      ••••
      o
        1000
       0)
       H
       O
         500
                                           ^ 2
                                          .-* 1
                   C.e.
                        Formulation
         W.p.
8
            The dependence  of  the  volatility of cianox from
            the main effects of:   I  -   formulation,
            2 - humidity,   3 - temperature,
            4 - interaction of the factors.
            The vertical line  is L.S.D.Qc  «  41,5 J^g
                                145

-------
   cianox residue  dynamics  on apple  fruits  following treatment.  As
   far as the  evaporation process  depends on temperature  to a great
   extent,  methylnitrophos  and cianox are evaporated from treated
   apples at  hot weather (28-33°C)  for I-3 days  following spraying.
        Phosalone  is  characterized by its relative  hydrolytic resistance
   Under laboratory conditions,  at room temperature phosalone is
   quickly  hydrolyzed only  in alkaline medium^in  neutral  medium  this
   process  being rather slow*  At pH  6 and less  it is of no practical
   value. At 60-70°C  and pH 5  50% of phosalone is  hydrolyzed during
   90  hours,at pH  7 - about 80$ during 70 hours and at pH 9 phosalone
   is  completely hydrolyzed during 4 hours.
       In laboratory  tests  it was  shown that phosalone decomposes
   slowly under UV- and sunlight.  This leads to a greater residue
   persistence in  harvested crop.  About 50% of  phosalone  residue  de-
   composes in the process  of apple  canning (blanching, pasteurization
   while preparing juices,  puree). No residues  were detected in  apple
   juice.
        Fhosalone  was preserved in the soil for about 2 weeks, when
   applied  at  rate of 3,0 kg/he.
        Fhthalophos,  exposed tothe sunlight  on silicic acid thin layer
   plates,  decomposes quickly forming oxygen analogue, hydroxymethyl-
                                                      •
   phthalimide,  phthalimide and one  unidentified  compound,  containing
   phosphorus  (Rf«0,0).  The latter is formed in the greatest quantities.
   The  parent  compound is detected during   10 days  and theoxyscn ana-
logue - during 25 days. Under irradiation of phtalophos in film(after
   solvent  evaporation)oxygen analogue  traces and the same unidenti-

                                  146

-------
fied compound are formed. The phthalophos decomposition under lu-
miniscent lamp irradiation (450-700 nm) is  identical  to the decom-
position under sunlight. The period of phthalophos semidecomposition
was 35 hours* UV light accelerates photolysis processes (Fig.4)*
                              66
                         90
120 min
         Pig. 4
The kinetics curves of the alteration
of Phtalophos and the formation of phthali-
mide under the action of UV-light.
I - phtalophos in water,
11 - phtalimide  in water,
III - phtalophos in the thinfilm.
                147

-------
It is to be noted that no oxygen analogue was detected when phtalophos
was irradiated on thinlayer plates. No hydroxymethylphthalimide and
phthalimide formation took place in the process of film irradiation*
This suggested the possibility that they were formed in the presence
of OH~   and Hv   ions. Irradiation of phthalophos in an aqueous
solution by luminescent lamp and UV light confirms this fact. Hydroxy-
methylphthalimide and phthalimide were detected in 1-2 minutes, and
in 10 minutes - phthalimide only. These data can serve as an evidence
of phthalophos photohydrolysis in the presence of water.
     The field test, where apple leaves and fruits were treated
with 50% phtalophos, confirms formation of hydroxymethylphthali-
                                                 igreater,
mide, phthalimide and unidentified compound, havingyfetention
time than phthalimide. Phthalimide quantity (Table 2) was not
more than 0,01-0,02 % from the detected quantity of phthalophos
in the interval of 3-15 days after treatment. No phthalimide was
found in the harvested crop. It is hydrolysis that is worth noting
among other factors promoting phthalophos decomposition. The
effect of temperature and  precipitation is less.
     In model tests essential influence of air temperature and
soil humidity on the process of sayfos (menazen) accumulation
on pea plants, grown from seeds treated by sayfos, was revealed
under controlled conditions. Moderate temperatures, sufficient
moisture promote the  compound   penetration from treated soil
to plants (Table 3). Under sunlight influence sayfos oxygen ana-
logue is formed on surfaces of treated plants. On the 25th day
its quantity exceeds sayfos content.
                                148

-------
                                         Table 2
      The dynamics of phtalophos and phtalimide on the apples
Bays :
following
treatment .
0*
I
2
3
7
10
15
24
36
Found
phtalophoa, mg/kg
4,3
3,9
4,4
4,0
2,7
2,5
2,0
0,5
0,1

: phtalimide, mg/kg
—
2,0
5,6
8,8
5,4
2,6
1,1
0,4
••
     *  two hours after treatment

     The influence of soil characteristics and moisture on atra-
cine and prometrine persistence time was studied in 5 types of
soil with different organic matter content, pH value and absorp-
tion capacity. The levels of complete moisture capacity were
43, 60 and 755&« At equal moisture level atrapine persistence
depended on soil characteristics. Thus, at 60# of field moisture
capacity - 78-81% of herbicide was inactivated in typical,lixi-
vated  and common black earths, 66$ - in grey forest soil  • It
was soil moisture that was responsible for the atrasine persis-
tence time* At 75$ of field moisture capacity 78-93$ of the
 compound was inactivated in black earths, at 45# - 52-6I5&. At
                               149

-------
                                      Table 3
        Influence of the soil humidity and temperature on the
                   sayfos content  in plant
The soil humidity
(% absolute)
18
25
37
: Temperature ,
33-12
5,47
7,94
16,74
°o,
40-20
2,11
2,40
6,48
: Average by fac>
tor A,
LSD05 .1,07
3,79
5,17
11,61
 Average by factor B
 LSD05-I,94              I0'95         3'66          6'86
the same time soil characteristics didn't influence prometrine
persistence. At 60# of field moisture capacity - 9I-97S6 was inac-
tivated for 3 months in all kinds of soil. Besides, 2 months were
needed to complete prometrine inactivation at 75# of field moisture
capacity and a little bit more than 5 months - at 45£*
     In field tests on maize simasine, atrazine, polytriazine and
agelon residue range was 0,06 mg/kg of soil at the end of vegeta-
tion period, depending on the precipitation quantity and intensity
in the stratum of 0-10 cm* Autumn and winter periods were charac-
terized by herbicide redistribution from the upper stratum (0-10
cm) to the depth of 40 cm with the residue of 0,05-0,11 mg/kg of
the soil*
                                150

-------
      STUDIES OF THE BEHAVIOUR  OF QRGANOPHOSPHORQOS
      INSECTICIDES IN SOIL AND IN SOIL-PLANT SYSTEM

             PETR07A T.  M., NOVOZHIL07 K. 7.,
            E7STIGNEYEVA T, A., KOPTTOVA P.  I.
      All-Union Research Plant-Protection Institute

      Now in the Soviet  Union organophosphorous insecticides
 (chlorophos, carbophos, phosphamid, gardona, syfos, zaethil-
 nitrophos and its analogues xaetathion, sumithion, folitnion
 et al.) which penetrate directly or indirectly into soil are
 widely used in agriculture for plant protection against  Ar-
 tjiropoda. In connection with it studies of the behaviour  of
 these insecticides in soil and also in soil-plant system are
 of great interest both for proper rational use of these che-
 micals for integrated control methods in plant protection and
 for the solving of toxicologohygienic problems.
      As it is knovm the insecticidal conversion in soil and
 in plants is the process depending on many factors and chang-
 ing under the influence of biological and nonbiological  con-
 ditions*
    Considering the factors as a system determining the character
of the insecticidal "behavior in biological objects, it should be
                             151

-------
noted that of particular importance arc:
    a) physical and chemical properties of the pesticide charac-
terizing the chemical "by the stability of not only its original
forms but also of its conversion products, as well as by its so-
lubility in different environments, volatility, diffusion rate,
persistence in different environments and so on;
     b) methods of pesticidal use for the control of plant
pests in agriculture;
     c) environmental conditions (temperature, precipitations,
solar radiation, air motion and so on);
     d) soil features (its tyue and structure, the content af.
organic substances, pH value, the aggregation rate and 30 on)
and plant peculiarities (anatomo-morphological, physiologo-
biochemical ones)*

     A great number of papers elucidating the importance  of
nonbiological factors in the process of pesticidal conversion
was published for last years (NOVOZHIL07, PETROVA, 1974; J.SD-
VED, 1974, WAINTRAUB, 1974; KLISSENEQ, 1975, O'BRIEN, 1975,
FUKUTO, CROSBY, 1975 et al.). Over 20 reports were only dedi-
cated to this problem at the 3rd International Congress   on
    Chemistry of Pesticides which was held in Helsinki in 1974.
     The majority of researchers considers physico-chemical
characteristics of pesticides to be one of the main factors
of their conversion.
                               152

-------
     Our researches and the analysis of modern scientific li-
terature on this problem convince us that physico-chemical
characteristics of the pesticide, U7-rays and humidity (preci-
pitations) within first days after crop treatment with the che-
mical indeed are main indices in the system of factors of non-
biological nature. Model experiments in chambers with artifi-
cial climate corroborate insignificant influence of tempera-
ture  and illumination (with the exception of UV-spectrum part)
on the rate of OFI destroying
     3o, on the JOth  day  syfos  content  was the same when
temperature was  28° C  and illumination  -  300 watt/m  and
          2
500 watt/m , that made up 34—35^ from the original amount of
the pesticide; when illumination was 400 watt/m2  and t° 20°
and $0° the toxicant content was 37-36%, respectively  from
its original amount*
     The distribution of  OPI  in plant-soil-plant system is
also connected with physico-chemical characteristics. It  is
noted that watersoluble insecticides are washed off by vvater
and they are translocated from one system to another one, as
for example, chlorophos» Chemicals scarecely soluble in ?;ater
(carbophos, syfos, gardona et al.) are waaied off only within
the first day after a plant treatment. The distribution   of
Gardona in plants and in soil after spraying pea plants   is
shown in Table !• The majority of organophosphorous insecticides
penetrating into the soil was found in maximum at the depth of
                               153

-------
 0-3 cm under the conditions of normal moistening for loan aru
 cii^rnozemic soil.
                 DISTRIBUTION OF GARDUHA III PLANTS AMD Iff SOIL
Days
after
treatment
0
I
4
8
II
15
Gardona content(m';Ag) in
upper part of the plant
one
treatment
I*, 9 ± I,*
I?,0 i 1,4
8,2 ± 0,9
5,0 t 0,15
n. d.
n. d.
two
treatments
16,2 t 1,25
14, 0 i I,*
7,8 1 0,96
2,9 1 0,3
1,3 ± 0,2
0,93 ± 0,1
lower part of the plant
one
treatment
2,1 ± 0,25
-
-
0,56 1 0,1
n. d.
n. d.
t;wo
treatments
6,0 + 0,2
4,0 1 0,1
2,1 ± 0,1
0,96 ± 0,09
0,48 ±o,I
0,43 i 0,05
in the depth of soil
0-3 cm
1,15 1 0,1
1,03 ±0,1
0,45 * 0,05
0,22 t 0,05
0,4 + 0,1
0,2 * 0,07
3 - 10 cm
0,57 + 0,1
0,5 t 0,03
0,25 t 0,01
0,11 ± 0,01
0,21 i 0,01
n. d.
     The method of  OPI   application ezerta a  significant ef-
fect on their dynamics. The product  applied into soil £as dust
or granules)' is found in  growing plants  within 2-4 months
(Tables  2,  3, 4), whereas for the  sprayed insecticide it
was  found within 0.5 -  1.5 months  (Table 5).
              (the*
     Studies oTTsyfos behaviour under field conditions of the
Leningrad region allowed  to ascertain that  half-life period
of syfos in pea and potato plants was 3-5 days for vegetation
plant spraying. The decrease of syfos content up to  the level
of permittable residues in the USSR  occurs  in 5-7 days;   the
                              154

-------
                                                                               Toblo
                        DYNAMICS 0? CHIOnOfHOS IIT PIAMT3 AND IH SOIL
— — — — 	
SAMPLE

roots
ClOYW?
laevaa
Cabbage l«ava«
(Br-6«iee)
Soil
________ 	 , 	 , 	 ____ — _ 	 . .. -
Oilorophos content (mg/kg)
7
daya
25
15
112
53*
15
days
20
13,5
80
2*1
30
days
2,2
1,2
26
59,0
45
days
It*
0,3
11,4
18,3
60
days
0
0
3,3
4,2
90
daya


1,2
1,8
ZOO
daya


0,8
1,0
120
days


0,2
0,6
140
daya



0
x)  150 fcg/fca 7% toxic granules of ohlorophoa wero applied into aoil in May.
                                                                        Table  3
AMOUNTS IN PiiA PLANTS AFTER SEED T
                                                             (2  kg/IQO kg  Boed)
             Teat
             variant
                            Syfos content

                             daya after troafcmonta
                                          in    plants
                             30
                                    60
                            75
                                                                            in  soil
                                  75
         In field
         In glasobouBo.
             5,1
             5,7
2,7
3,5
0,1
0,5
0,2
0,15 - 0,1
0,01
                                             155

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                                                                  Tabla
8Y703 DTOAMIC3  IN PEA PIAMT3 AND IN SOIL At'TEH SEED TREATMENTS




                            I 976

Sample

plants

aoil
plants

aoil

Application rates
(kg./ 100 kg. seed)


2


3

Syfos content (nig/kg),
days after treatment
20
10,0

1,9
13,5

6,5
30
6,7

1,5
8,2

4,2
35
S5

0,9
4,2

2,2
40
4,0

0,9
4-,!

1,9
45
2,2

0,7
3,9

1,7
50
2,1

0,6
3,5

1,5
55
2,0

0,6
3,0

1,3
60
2,0

0,6
2,3

0,9
65
1,3

0,5
2,0

0,7
80
0,4

0,4
0,9

0,6
                                                               Table 5
           DYNAMICS IN PIAMTS UF POTATO  AND  P.SA DKPEUDIHG



                 Qtl TUB HUrJBKB. OF TIlKA'i'UEMM   1975




               (concentration of t>,/fr>a o,I >'»  a.  i. )

Crop

Pea
Potato
fea
Potato

No. at
treo'tmaats


I

II
Syi'os concent (ma/kg),
Jays afbor troatmont
0
2,5
3,0
4,0
4,2
I
1,6
2,0
3,5
3,o
3
1,0
1,1
^,o
3,1
5
0,0
«>,9
2,0
t,5
7
0,7
0,0
0,5
0,9
12
17
0,4
0,5
0,*
0,6
0,1
0,2
22
-
-
0,01
0,0'i
30
-
-
-
0,01
                               156

-------
product was found in the amount of 0.01 mg/kg within    30-
-35 days*
     When pea seeds are treated with Syfos the toxicant pene-
trates intVySerial parts of plants and  remains  there   at
0*5 - O.I ing/kg level within 50 - 70 days depending on climat-
                          t contentj
ic factors. The rates of sjfoafdecrease in pea and potato plants
are relatively constant and depend on the original insecticide
 content in them (Tables 3,  4,  5)-
     We consider the process of • . ; insecticidal conversion
in a biological object (in the plant, in soil) eu-s &. function
in the system of factors of biological and nonbiological nature.
;Ve emphasize first of all anatomo-morphological plant peculia-
rities in the system of factors^ as the distribution of   the
toxicant in a plant is connected with there (Table 6).
     Our researches with crops varyinr; in the anatomo-norpholc-
gical structure of leaves (pea, bean, tomato, cucumber   and
cabbage plants) have shown that the toxicant distribution di-
rectly depends on leaf hairness, wax content in the cuticle,
lipids and other lipid-like substances and on their quality,
too*
        As it should be expected, leaves with significant hair-
ness (cucumber, tomato plants) or a wax layer (cabbage plants)
had a more considerable amount of the insecticide on  their sur-
face compared with pea and bean leaves. So the ratio  of  the
"surface" carbophos to the absorbed one was I : I in  leaves
of cabbage and cucumber plants. This ratio was  I : 1,5; 1:1,4
                              157

-------
                                             Table 5
                  DISTHIBOTIOff 0? OSGASOIEOSPHOROUS IESSOTICIPSS
                            IN PLANT .LEAVES
^v Pesticide
Test PlantsX.

Cucuaber . . . • .

B 4 A 11 ••«••*•

Pea line i
Zelenozexr^ wax
Zeleoozarny ..
Acacia wax ...
Acacia emerald
Ratio of "surface" to "absorbed" insecticide
Xetathion
III
I t 0,3
I t 0.7
I t 1,2
I t 1.5

I t 0,3
I I 1,6
I t 0,6
I t 1,1
Itethjl-
nitroohoa
I t 0.3
I « 0,3
I t 0.7
I i I
I t 0.9

I l 0,6
I « 1,3
I * 0,*
I t I
Suaitiion
I I 0,4
I 1 0,4
I i 0,7
I : I
I t I

I * 0,7
I : 1,2
X t 0.6
I < I
Caroopuo z
I » T -7
J : I

I : 1,5
I t I ^

I : I
0,2 » I
I : I
0,1 i I
in  .leaves of pea and bean plants, respectively. It should be
 noted that the toxicant distribution in pea  plants  depends
to a great  extent   on   the   presence  or  absence  of  cuticle
waxes.  Uae  Mgher content of the "surface" Insecticide    is
found In  isogenic pea lines  characterized by the presence of
a wax gene  (Zelenozemy wax, Acacia wax) as compared with un-
wax pea lines  (Zelenozerny unwax, Acacia emerald)*
     The  same  regularity is  also observed with other insecti-
cides*
     Since the degradation rates in the "surface"  and  the  ab-
sorbed insecticide are  different, the toxicant distribution
                               158

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in plant leaves is undoubtedly of great  importance in the
process  of detoxication.
       'fhe insecticide  on epidermis surface (the  "surface"
insecticide) is mainly destroyed under the influence of fac-
                              t77hereas.
tors of the nonbiological nature7/^Ee toxicant penetrated in-
to tissues  ("absorbed11 one) degrades under the influence   of
oxidation-reduction cell enzymes (Table 7) and hydrolytic ones
(Table 8).
                                              Table 7
                              70K£ATIO!T IN PSA LIHSS
                     fflTH
P3HOXIDA3S ACTIVITT
?3A LIHES
Zelenozerny war
Acacia wax . • . . .
•.: u l k ......
. .:? rcovs^7 ......
".'cis^osclii^r .».
^taabovy 180 ..
Senator .......

Peroxidased activity
in ng of oxidized
pyrocatechol per I g
o£ protein
126
129
131
137
158
170
170
178
190

Oxicarbophoa contest,
forced froa 100 ag
of absorbed carbophos
in sag
5
7
7
10
X*
12
16
16
17

                               159

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                   Tiig EK.MOT3 00' TJJ.'.'.' nru:«n.mo cui/Yj
                 ffOK CAR&CU'HOa AJID MjJ'i:iii%>!I'lHC)P!IOS TU PISA PLAiTi'S
The sample


Lincoln x Karmazinovy


Lincoln 	




Days after
treatment
I
5
14
I
5
I*
I
5
I*
Carbophos
metabolites
monoacid
5,3
-
-
-
2,2
-
-
1,5

diacid
3,2
8,0
-
-
-
5,1
-
3,3
5,0
Methylnitrophoa
metabolites
desmethyl-
nitropaos
1,5
0,4
0,1
0,1
14
0,5
-
1,6
0,2
diraethyl-
thiophoafate
acid
!•*
0,1
-
-
2,3
traces
-
I.I
0,3
     As it  is known,  the formation of oxidized metabolites is
connected, with the activity of oxidation-reduction enzymes,in.
particularv  with peroxidase* On this basis we  studied   the
formation of oxicarbophos and oximethylnitrophos in pea lines
with different peroxidase activity of this enzyme•
    Table 7  shows that larger amount of oxidized metabolite is
formed in lines with increased activity of peroxidase (Meteor,
Senator,  Lincoln) as compared with Mulk, Acacia wax,  Zeleno-
zerny wax with similar level of the "absorbed" insecticide.
     Our  studies with different plants la different periods
of  their  development  indicate  that  formation   of  oxi-
dized forms of metabolites from  "absorbed" metabolites occurs
                              160

-------
  under the conditions of the most active metabolism, in parti-
  cular, in spring, and also within the first days after a plant
  treatment with the insecticide when defensive reactions mobi-
  lize in response to the incorporation of tfae- aobatances which
  are not characteristic of the organ I am*
      Products of toxicant hydrolytical degradation are formed
  in significant amounts along with oxidized forms. Their le-
  vel correlates with the esterase activity, and the data ob-
  tained for the separate lines and the interline hybrids
  confirm it«
    On the first day the products of hydrolytical insecticidal
conversion were already observed in the hybrid pea form with
the higher esterase activity, compared with the parent lines where
  they appeared 5-7 days later.
     Complex of the factors affecting the process of pesticidal
 detoxication  was  studied in the  wide scale  under field conditions
  with gardona*
       Data on toxicant distribution in  different plant parts
  and in soil were obtained (Table 9)« 85,396 of  the  insecticide
  were found  in upper plant layer in 2 hours after a treatment
  with gardona; 10*8$ of Gardona was found  in  lower  layer, 3«5£
  - in soil,  and 8I.7$» I5«2£ and 3«I%,  respectively,  in  5 days*
     As we  see, the larger  amount of the insecticide is found in
  the upper part of the pea plant, and only 2-356 of the toxicant
  penetrate  into  soil*
                                 161

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                                                       Tablo 9
DIS'I'RIflllPICKl OP ri
                                 1U_.PM4_ PlAlfT3 _A»D Hi SOIL
           (Spraying according to moasurd system, r&coii'imnclad in the control
              of pea peata under tius conditions of Chernovitny region)
Year,
number of treatments
One treatment
TV7\ L j , j
Vfry 	
Two treatments
One treatment
TY'lL
±Jfr
Two trcatimmts
Gardona content (nnyicg) in
upper part of plwitB
14,9 i 1,2
16,2 i 1,25
13,1 ± I. 6
15, J 1 J,*
lowor part of plants
2,1 1 0,25
I.&5 1 0,2
0,0 + 0,2
3,7 1 0,2
floil (0-3 cm)
1,15 t 0,15
I,? 1 0,20
0,6 + 0,0?
1,20 i o.ii
     This regularity is valid for all  the years ?rhen the experi-
ments were carried out. Similar data  were also obtained for the
other crops. Our research  into the significance  of the factors
in detoxication process will provide  an opportunity to substan-
tiate  prediction of pesticide  residues in "biological  objects,
and  in connection with it, to  solve properly the practical prob-
lems of rational use of chemicals.
                                 162

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      METABOLISM OF FYRETHROID INSECTICIDES AND THIOCARBAMATE HERBICIDES

                               John E. GasIda          #
                     University of California, Berkeley
ABSTRACT

     Knowledge of the metabolism of pesticides contributes to an understand-
ing of their mode of action, selective toxicity, and residual persistence.
It also assists in the discovery of compounds with increased potency and
safety.  Investigations at Berkeley with pyrethroid insecticides and thio-
carbamate herbicides using mammals, insects, plants and enzyme  systems
illustrate these points.

PYRETHR03DS

     Synthetic pyrethroids are possible replacements for  chlorinated
hydrocarbons and other insecticides that lack appropriate toxicological and
persistence characteristics.

     The first definitive step in understanding pyrethroid metabolism came
from studies on S-bioallethrin, pyrethrin I and other  chrysanthemates with
housefly monooxygenase enzymes that showed the lability of the  trans-methyl
group of the  isobutenyl moiety  (Fig.  l)  (1-3).  These  studies  also: 1)
showed that methylenedioxyphenyl synergists for pyrethroids block  the enzyma-
                                  housefly
                                  microsomes
                                 monooxygenase
                                   NADPH
             Fig. 1.  Metabolism of S-bioallethrin by the housefly
                      microsomal monooxygenase system (1-3)
 """Pesticide Chemistry and Toxicology Laboratory, Department of Entomological
  Sciences, University of California, Berkeley, California $&720,u.S.A.
                                     163

-------
tic oxidation; 2) stimulated others to prepare potent pyrethroids by re-
placing the isobutenyl moiety with less biodegradable substituents;  and 3)
suggested the pathway later found to exist in Chrysanthemum cinerariaefolium
for biosynthesis of pyrethrin II.                                    ""

     Metabolic pathways for pyrethrin L» pyrethrin II and S-bioallethrin in
rats were defined by isolation of the [  CJ- or [3n]metabolites and
identification by nuclear magnetic resonance and mass spectrometry (Fig.  2)
(^-8).  Major sites of oxidative attack are at the alcohol side chain,
                    CM,0

             Fig. 2.  Metabolism of pyrethrin I, pyrethrin II
                      and S-bioallethrin by rats (U-8)
                                   164

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the isobutenyl moiety and the geminal-dimethyl group.  There is little
or no hydrolysis of the cyclopropanecarboxylate ester group.

     Bioresmethrin (1R,trans-resmethrin) is a photolabile but highly potent
insecticide.  It has an extremely low acute toxicity for mammals whereas
the IRjCis-isomer is more toxic.  Mouse liver microsomes hydrolyze 1R,trans-
resmethrin much more rapidly than lR,cis-resmethrin (Fig. 3) (9-1^)-  On
              Fig. 3-
                                   10     20
                                    Minutes
Metabolism of IR-resmethrin by mouse
liver microsomal esterases (9-1*0
a more  general basis, they hydrolyze trans-cyclopropanecarboxylic acid
esters  with primary alcohols at a much  greater rate than they hydrolyze the
corresponding cis-esters with primary alcohols or the  trans-esters with
secondary alcohols.

      Fermethrin no longer has the biodegradable  and photolabile  substituents
present in  earlier pyrethroids.  The 1R,trans- and lR,cis-iscmers are
metabolized in rats by  ester hydrolysis and hydroxylation  of the geminal-
dimethyl group and the  phenoxy ring (Fig. h)  (15,16).   The cis-isomer  is
more  persistent than the trans-isomer because of the large rate  difference
in  ester hydrolysis.

                                     165

-------
                              \  /
                       0   Moyi
                         1-tf
                                   ptrmethrin
                                                       • »
                                    1                 \I
   Fig. U.  Metabolism of  IE .trans-permethrin  (t^per) and  lR,cis-permethrin
            (c_-per) by rats  (15, 16)
      Mouse liver microsonal oxidase and esterase systems were used to
 examine the structure-biodegradability relationships of ^k pyrethroids.
 Introduction of an a-cyano substituent in the alcohol to increase the in-
 secticidal potency leads to compounds (NRDC lU9 and S-5602) that are both
 slowly hydroOyzed and slowly oxidized (Fig. 5)
                       NROC 149
S-5602
      Fig.  5-   a-Cyano pyrethroids resistant to metabolism by mouse
                liver microsomal monooxygenase and esterase systems
     Stereospecificity  is  sometimes  encountered in the  preferred site  of
monooxygenase attack.   For example,  the  geminal-dimethyl group of IR,trans

                                     166

-------
permethrin is oxidized by mouse and rat liver enzymes specifically at the
cis-methyl group while the IS,trans-isomer is oxidized only at the trans-
methyl group (Fig. 6) (17).  Oxidation of the geminal-dimethyl group in the
1R- and lS,cis-isomers is less specific.

     The continuing studies are examining new pyrethroids and a greater
variety of organisms (cows, chickens and various insect species).
                      IR. trans                      IS. trans

    Fig. 6.  Stereospecificity  in mouse liver microsomal monooxygenase
             metabolism of  1R,trans- and lS,trans-permethrin  (17)
THIOCARBAMTES

     Thiocarbamate herbicides were previously reported to undergo hydrolysis
and further metabolism of the mercaptan and amine in mammals and plants.
In contrast, the present studies show the importance of non-hydrolytic
pathways for thiocarbamate metabolism.

     Investigations with mouse liver enzymes establish that thiocarbamates
undergo microsomal monooxygenase attack to form the sulfoxide and N-
dealkyl derivatives.  The sulfoxide is then rapidly cleaved by the GSH §-
transferase system, forming the GSH conjugate (Fig. 7) (18-20).  Further
metabolism of the GSH conjugate in rats yields the cysteine conjugate
and a variety of other metabolites including the mercapturic acids (Fig. 7)
(21,22).  An additional but undefined pathway in rats does not involve
the sulfoxide intermediate  in cleaving a portion of the thiocarbamate dose
(22).

     The thiocarbamate sulfoxides are also formed in plants and are usually
more potent herbicides and often cause less crop damage than the correspond-
ing thiocarbamates (Table l)  (18,20).  This suggests that the sulfoxide
metabolites may be the actual herbicides.  The sulfoxides may act by
carbamoylating a critical thiol site important in lipid biosynthesis  (Fig.
8) (20,21,23).

     Sensitive corn varieties are protected from thiocarbamate injury on
adding an  "antidote", such as N,N-diallyl-2,2-dichloroacetamide.  The
antidote elevates the level of GSH and increases the activity of the  GSH S_-
transferase so the thiocarbamate sulfoxides are more readily detoxified by
carbamoylation of GSH  (Fig. 8)  (21-23).  Many related antidotes for thio-
carbamate  injury appear  to act in the same way.  Thus, the antidote builds
a resistance mechanism into susceptible varieties of corn.

                                     167

-------
    liver
  microsomes
monooxygenase R /
    NADPH     K2
                                   N-C
       thiocarbainate
          thiocarbamate  sulfoxide
                  N-dealkyl deriv.
                              liver
                            soluble
               I
GSH
GSH S-transferase
             S-ma
      N-dealkyl
      mercapturic acid

          t
      mercapturic acid
                                   N-C
           GSH conjugate
                                    V
               I
                     I
           R,    .0
            1%N-cf
           ^    S-cys
          cysteine conjugate
                                                                  9
                                                                  "*OH
Fig. 7.  Metabolism of thiocarbamates  in rats.  Abbreviations: R,  and R  =
         alkyl or cycloalkyl; R^ =  alkyl or substituted-benzyl;  GSK=   2
         glutathione; G, cys  and ma = S-derivatives of GSH,  cysteine and
         N-acetyl cysteine (mercapturic acid), respectively;  gly = N-
         derivative of glycine (18-22)
Table 1.   Herbicidal activity and  crop injury with EPTC, butylate  and
           their sulfoxides when mixed with the soil before the  seeds
           were planted (18,20).
Plant
Weed species
3 Broadleafs
10 Broadleafs
5 Grasses
Crops
Corn
Sugarbeet
Field bean
Cotton
Herb.
rate,
kg/ha

0.5
1.7
0.5

3A
3.1*
3-^
3.^

EPTC

58
92
9^

70a
98
10
™~
Injury
EPTC
sulfoxide

90
98
89

Oa
99
0
— *"
rating, ave.
Butylate

23
55
56

0
20
80
40
%
Butylate
sulfoxide

68
99
98

0
90
20
100
      a susceptible corn variety, the EPTC  injury rating was °ik and 100%
 at 6.U and  27  kg/ha,  respectively, whereas no  injury resulted with these
 rates of EPTC  sulfoxide.
                                     168

-------
  R     ^0     ,  .   R,     .0          corn              Rn v   ,0
  Al\   ^     plants^ 1\   4      	y    1s   *
  R "N"CNS-Ro       ^Rg^'^S-IL   GSH     GSH £!-        Rg^'^S-G
   2        J             0              transferase
  herbicide         y active-       4*         •f          detoxification
  precursor      /   herbicide           |                 product
     Plants
     sensitive             -
"antidotal
  S-carbamoyl derivative     action"
                                                               I corn
a>-<
                             R2      S-cys
  of thlol site important           precursors           detoxification
  m lipid biosynthesis             ^ corn                 rQduct
   Fig.  8.   Metabolism of thiocarbamates  in plants  and the  action  of
            dichloroacetamide "antidotes" in corn (18,20-23)
ACKNOWLEDGMENT

     These studies were supported in part by the National Institutes of
Health (Grant 2 P01 ESOOOl|9).

REFERENCES

 1.  Yamamoto, I. and J. E. Casida.  1966.  0-Demethyl pyrethrin II analogs
       from oxidation of pyrethrin I, allethrin, dimethrin and phthalthrin
       by a house fly enzyme system.  J. Econ. Entomol. 59; 15^2-15*4-3.
 2.  Tsukamoto, M. and J. E. Casida.  19&7-  Metabolism of methylcarbamate
       insecticides by the NADHU-requiring enzyme system from house flies.
       Nature 213:^9-51.
 3.  Yamamoto, I., E. C. Kimmel  and J. E. Casida.  1969.  Oxidative
       metabolism of pyrethroids in house flies.  J. Agr. Food Chem. 17:
       1227-1236.
 h.  Casida, J. E., E. C. Kimmel, M. Elliott  and N. F. Janes.  1971.
       Oxidative metabolism of pyrethrins in mammals.  Nature 230:326-327.
 5.  Yamamoto, I., M. Elliott and J. E. Casida.  1971.  The metabolic fate
       of pyrethrin I, pyrethrin II, and allethrin.  Bull. World Health
       Organ. Mi:3*4-7-3^8.
 6.  Elliott, M., N. F. Janes, E. C. Kimmel and J. E. Casida.  1971.
       Mammalian metabolites of pyrethroids.  In Insecticides (A. S.
       Tahori, Ed.), Gordon and-Breach, New York, pp. 1U1-162.
 7.  Elliott, M., N. F. Janes, E. C. Kimmel and J. E. Casida.  1972.
       Metabolic fate of pyrethrin  I, pyrethrin II, and allethrin following
       oral administration to rats.  J. Agr.  Food Chem. 20:300-313.
 8.  Casida, J. E.  1973-  Biochemistry of the pyrethrins.  In fyrethrum
       the Natural Insecticide  (J.  E. Casida, Ed.), Academic Press,  New
       York, Chap. 5, pp. 101-120.
 9.  Abernathy, C. 0. and J. E. Casida.   1973.  Pyrethroid insecticides:
       esterase cleavage in relation to selective toxicity.  Science 179:
       1235-1236.

                                    169

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 10.  Abernathy, C. 0., K. Ueda, J. L. Engel, L.  C.  Gaughan and J.  E.
        Casida.  1973-  Substrate-specificity and toxicological significance
        of pyrethroid-hydrolyzing esterases of mouse liver microsomes.
        Pestic. Biochem. Physiol. £: 300-311.
 11.  Jao, L. T. and J. E. Casida.  197^.   Insect pyrethroid-hydrolyzing
        esterases.   Pestic. Biochem. Physiol. k:k65-k72.
 12.  Ueda, K., L.  C.  Gaughan and J. E.  Casida.   1975-  Metabolism  of four
        resmethrin  isomers by liver microsomes.   Pestic.  Biochem.
        Physiol. £:280-29U.
 13.  Casida, J. E.,  K. Ueda, L. C. Gaughan,  L. T. Jao  and D.  M. Soderlund.
        1975/1976.   Structure-biodegradability relationships in pyrethroid
        insecticides.   Arch.  Environ.  Contam. Toxicol.  3_:^91-500.
 lU.  Soderlund, D.  M. and J. E. Casida.   1977.   Effects  of pyrethroid
        structure on rates of hydrolysis and  oxidation  by mouse liver
        microsomal  enzymes.  Pestic. Biochem. Physiol.  6:  in press.
 15.  Elliott,  M.,  N.  F. Janes,  D. A.  Pulman, L.  C.  Gaughan,  T.  Unai and
        J.  E. Casida.   1976.   Radiosynthesis  and  metabolism in rats of the
        [IE]isomers  of the insecticide permethrin.   J.  Agr.  Food Chem. 2k:
        270-276.                                                          '
 16.   Gaughan,  L. C.,  T. Unai and J. E. Casida.   1977.  Permethrin metabolism
        in rats.  J. Agr.  Food Chem. 25: in press.
 17.   Soderlund,  D. M. and J. E.  Casida.   1977.   Stereochemical relationships
        in pyrethroid  metabolism.   Amer. Chem. Soc.  Symp.  Ser.,in press.
 18.   Casida, J.  E., R.  A.  Gray  and H. Tilles.  197^."  Thiocarbamate
        sulfoxides: potent, selective  and  biodegradable herbicides.  Science
        18^:573-57^.
 19.   Casida, J.  E., E.  C.  Kimmel,  H.  Ohkawa  and  R.  Ohkawa.  1975.
        Sulfoxidation  of thiocarbamate herbicides and metabolism of thio-
        carbamate sulf oxides  in  living mice and liver enzyme systems.
        Pestic.  Biochem. Physiol. £:1-11.
 20.   Casida, J. E., E.  C.  Kimmel, A. Lay, H. Ohkawa, J. E. Rodebush, R. A.
        Gray  and H.  Tilles.   1975-   Thiocarbamate sulfoxide herbicides.
        Environ. Qual. Saf.,  Suppl.  Vol. 3_: 675-679.
 21.   Lay, M-M., J.  P. Hubbell and J. E. Casida.  1975.   Dichloroacetamide
        antidotes for  thiocarbamate  herbicides: mode of action.  Science
        189:287-289.
22.  Hubbell,  J. P. and J. E. Casida.  1977.   Metabolic fate of the N,N-
        dialkylcarbamoyl moiety of thiocarbamate herbicides in rats and"
        corn.   J. Agr. Food Chem. 25_; in press.
23.  Lay, M-M. and J. E. Casida.  1976.  Dichloroacetamide antidotes
       enhance thiocarbamate sulfoxide detoxification by elevating corn
       root glutathione content  and glutathione £3-transferase activity.
       Pestic. Biochem. Physiol. 6:
                                    170

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                BASIC THEMDS AND RESULTS
               IN TEE STUDY OP PESTICIDE
                     TOXICOLOGY

                  Professor Tu.S.Kagan
     (Research Institute of hygiene and toxicology of  pesticides,
            polymers and plastics  . Kiev)
     The discovery of chemical means of protection of  plants  against
pests and plant diseases,-pesticides, is an outstanding achievement
of contemporary science. Pesticides hold an important  part in. tue
reduction of harvest losses. Along with it pesticides  possess
certain qualities which present potential dangers for  public  heslttv
Of these mention should be primarily made of the high  biological
activity of pesticides, the ability to survive in the  environment
for lengthy periods, to accumulate in foodstuffs. The  distribution
of pesticides on huge territories, penetration into soil,  water
reservoirs, plants and animals create real conditions  for the pene-
tration of these agents into the human organism.
     The above listed features of pesticides make it necessary  -:*
the hygienic and toxicological estimation of them to take into
account all the consequencies which may arise from raei. use-
     The adverse effect of pesticides may develop in various direct-
ions. Tbey m«y De tke causes of acute poisoning. 34 thousand cases

                                171

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 of acute poisoning with pesticides have been described in world
 literature (1). Poisoning can be prevented by correct organization
 of work, adherence to cautionary measures. It is much more difficult
 to prevent chronic poisoning.  Of great  danger in this respect are
 stable pesticides,  especially  chloroorganic compounds. It is well
 known that mar-y chemical  substance** passirg to the organism  for
 long periods in small doses may  not induce clearly expressed signs
 of poisoning. However,  they can  affect  the imnmnobidlogieai reacti-
 vity of  the organism,     reduce  its resistivity to the effect of
                                           be
 various  pathogenic factors. And  this should'v/also taken into account
 in estimating pesticides. Finally, chemical substances may contribute
 to the appearance of  a  number of pathologic processes which   are
 not confined to  the corcept of "intoxication** but which in their
 after-effects may be  much more serious  than intoxication.    The
 question is about the appearance of allergic  states, malignant
 growth,  about the mutagenous, teratogenic, embryotoxic and gonado-
 toxic effect of chemical  substances. These problems must also  be
 studied  in  examining pesticides*
     One of the main problems of toxicology is to obtain data concern
 ing  toxicity and other noxious properties of pesticides prior to the!
 i.itroriuction into practice. This principle is fully realized in
 che USSR. No substance is allowed to be used as a pesticide  without
preliminary studies* following which it can be sunctioned to use
by  the General Sanitary and Epidemiologic Board of the Ministry of
Health of the USSR.
                               172

-------
     The following measures are used to accelerate toxicologic
studies: (a) carrying out the research in stages,(b) compulsory
experimental to Ecological and hygienic examinations, (c) a
of criteria are given required for toxicologies! examinations ana
hygienic standardization of preparations,(d) concrete methods  of
analysis are recommended. The stage approach to the examinations
enables the decision to be made at the very beginning about  in-
exp*^iency of the further analysis of a substance in case of its
high toxicity. Thus highly toxic organophosphorous pesticides as
tetraethylpyropLosphate (TEPP1). thymet, M-74-, chlorinated hydro-
eiu'bonatos of the d^ne synthesis (dildrSn, endr in, i sods in and
many others). In case of a favourable appraisal of the preparation
at the  second stage examinations are made aimed at the substantu-
ation of limiting concentrations in the working zone air,  atmospheric
air, foodstuffs and in water, the working conditions during pesti-
cide tests in agriculture are studied and prophylactic measures
are worked out. If a decision is made to produce the new pesticide
commercially, then the physiologic and biochemical mechanisms  of
its action are studied fundamentally and spec7tic measures of prophy-
laxis and therapy of poisoning are elaborated.
     The unification of the research program aimed at solving
specific problems associated with toxicological appraisal and hygi-
enic standardization of new chemical substances, the strict stage-
by-stage approach to the research makes it possible not orly to
                                                 to
solve practical problems in short periods but alsoveontriimte  to
the accumulation of data on certain theoretical questions.
                                173

-------
      Now more  than 900 chemical compounds are used in the world
 as pesticides  of  which about 230  are  either used or tested in the
 USSR;  however,  since  some of them contain one and the same active
 agents,  there  are much less individual chemical substances of this
 kind (2).  The  comparison of the range of pesticides in use fo  a
 number of  yaars bears testimony to a rapid increase in their nomen-
 clature  connected with the growing stability of pests to certain
 preparations,  necessity of their  replacement and alteration,  with
 the trend to use  pes-icides selectively affecting noricus objects
 without  injuring  the  useful ones, having low toricity for people
 and animals, and  with a number of other reasons (3-7).
     The present  report deals only with some most important
 in the toxicological  study of pesticides and considers fi
 obtained in recent years which characterise  the potential
 of  pesticides related to the two most widespread classes,
 chlororganic and  organophosphoroua compounds; due attention is also
 given  to the ways of preventing their unfavourable effect on public
 healf  .
     It has been proved beyond doubt that DDT is accumulating  in
 the adipose tissue of most people of the world.
     It has been established that along with DDT other chlororganic
pesticides such as Lindane,  dieldrin, heptachlor are also accumulating
 in  the adipose tissue but their content is considerably lower than
 DDT and commonly does not exceed 0.1-0.3 Eg/kg. Different contents
 of DDT in foodstuffs,    peculiarities of food rations (con-
 sumption of meat,  dairy products,  etc.) are  perhaps the main reason
                               174

-------
for different contents of the insecticide in the adipose tissue of
people (8-12).
     The question about the carriage of DDT and other chlororganic
pesticides is no longer a subject for debate. The harmfulness of
this carriage is still under discussion. In recent years new experi-
mental and clinical findings have been obtained bearing evidence
to harmfulness of the carriage of chlororganic compounds  (13-32).
     The effect of small doses of DDT to the functional state and
structure of liver has been established (22). Prolonged administra-
tion of DDT to laboratory animals increases their sensitivity to
coronary spastic agents (pituitrin), accelerates the development
of experimental cholecteric atherosclerosis in rabbits (23-25).
It ^as been proved that DDT affects the intensity ol energy meta-
bolism, the fixation and release of serotonin, the content of pyrJ-dUv
nucleotides in aniraal tissues, the permeability of cell membranes,
the immunoheniatologic indices (27-32)*
     In the general appraisal of the potential danger of DDT  due
attention  should be paid to the effect of small doses of DDT on the
endocrine  system of animals,  and, which is of particular importance»
to the gonadotoxic, mutagenous and carcinogenic effect of DDT
(33-36). In one of the experiments (34) five generations of inbred
mice were kept on  a ration with the addition of DDT, and starting
with the second generation the rate of malignant tumors (carcinoma
and sarcoma)  increased (28.7J& cases as  against 3.2%  in the controls),
and she number of  leukt^aia cases  increased,  starting from the third
generation.  The carcinogenic  effect of  DDT has been  confirmed "oy
the  study  of  V.S.Turussov  (37).
                                175

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      All the mentioned information related to the  harmfulness of
 DDT makes it necessary to speed up the resaarch work  aimed at   the
 replacement of it and other stable chlororganic pesticides in agri-
 culture.
      The existence of a number of adverse properties in chlororganic
 pesticidos has led to a vast development  of  toxicolo* .ioal  researsi
 of less sta'le and less cumulative organophoanhoro^a compounds.
 Their high torlcity for people and warm-blooded animals was the
 principal obstacle to the wide use of  such compounds. Information,
 related to the acute  poisoning of  people by compounds of this group
 has been reported and is being published (1,  58, 39). The danger
 of chronic poisoning  byOKJ- has been studied  to a considerably lea-
 extent r (40,  41).
      A number of  efficient  substances have been found among OFC  with
 medium (chlorophos, carbophos,  threechlormethaphos-3t aethyl-nitro-
 phos,  methathion, bytex, dibrom, amiphos,  cyanox and others;  an.:  L ov
 (sajphoa,  gar dona, bromophos,  abat, valexon,  demuphos)  ton city
 for  warm-blooded animals and man. The feasibility  of  acute poisonii^
 from these preparations is considerably less in comparison
 with mercaptophos and thiophos used before,  as well as with methyl-
mere aptophos, methaphos, phosphamide and others still used  in
 agriculture, ^oxidynamics   of these compounds is being studied  it
present.
     In recent years information has been reported related to the
 possibility of tae injurious effect of organophosphorous prepara-
 tions  on the fetus and fetation. It has been established that para-
 i,lion, a>thylparathion, dichlophos, diazinon, and TEPF penetrate the
                                176

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placenta of rats and cause a frequent resorption of the fetus, a re-
duction in the fetus weight and the weight of placenta, as well as
congenital malformation.  Certain preparations (parathion,  diazinon,
TEPP) brought about a resorption of the fetus when administered in
doses which did not cause intoxication of the pregnant animals (42-
4-7).
    The embryotoxic effect of phthalophos has been established also
with comparatively low dosage (administered in pregnancy every other
day in 0.3 mr/kg - 1/500 part of the lethal dose) (48). A distinct
dependence of the pronounced character of the phthalophos embryoto-
xic properties on the rate of daily dose has been found. A single
administration of higher doses of phthalophoc may bring about a te-
ratogenic effect (flipper-like extremities,strangulation of the
pelvic girdle, hydrocephalus, hydronephrosis). When phthalophos is
administered to pregnant rats, it can be found together with its
metabolite (phthalimide) in small concentrations in the uterus,
placenta and fetus tissues. It has been established that the embryo-
toxic effect also manifests itself due to the introduction of pnfcha-
limide which is the phthalophos metabolite (48).
    On the basis of the finding it could be assumed that the enbryo-
tosic effect is associated not with  the organophosphorous compound
itself but with the phthalimidic part  of its molecule which also
enters into the composition of the well known thalidomine teratogen.
    However, recently  convincing facts  have been  obtained about the
availability  og griadotoxic, embryotosic and teratogenic properties
 in chlorop'ios and methylmercaptophos in the absence of the phthali-
                                177

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 aide group (44-4-7,4-9).  1. s..bstantial. change in the fertility of :rats
 has been discovered caused "by the  inhalation of nethyl-iaercaptophos.
 It has been ascertained that  methylmercaptophos in small doses
 enhances the motor activity of the uterus of pregnant animals (4$),
     A report has been appreared about the carcinogenic effect of
 chlorophos which was revealed in the experiment on the Vistar rats
 and  on mice of the  AB strain  (50). The authors associate this effect
 with alkylic properties in chlorophos. At present  the mutagenous
 properties of organophosphorous pesticides are being studied.
     All those findings  indicate that the  information concerning the
 acute  toxicity of  orgahophosphorous  pesticides is  insufficient for
 their appraisal. An all-round examination is required of the  pesticide*
 to rule out their  adverse  effect on  the progeny and other remote  after*
 effects.
     A new approach to the  directional synthesis of organophosphorous
pesticides  and acaricides  has been realized in the   laboratory of
Academician H.I. Kabachnik(5I-54)« Various OPC containing radicals of
natural axoinoacids  in the  molecule have been synthesized.  It  was
suggested that the  presence in  the OPC molecule  of amino acid radicals
could affect the character and  spead of inhibition of choline-sterases
of warm-blooded animals and insects. The  structure  of the  amino acid
can also have influence on the  interaction of  OPC with enzymes,
providing for their detoxication,particularly, with carboxyl-esterases
and peptidases. These theoretical assumptions  have  been  justified.
A number  of organophosphorous pesticides,  low-toxic  for warm-blooded
animals and possessing a selective insecticidal and  acaricidal  effect,

                                178

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have been synthesized. The examination of these compounds has made
it possible to ascertain the relation between the features of their
structure, character and the rate of metabolism,
by the  interaction with choiinesterase to clarify the role of
 steric  factors in the reaction with carboxylesterases. It  is
important that these compounds disintegrate into natural metabolits
which lessens the likelyhood of the appearance of unfavourable
 after-effects.
     New results  have teen obtained in the study of the mechanism
of action of OPC  (55-57) and of cholinesterase reactivators which
can be  used as antidotes of organophosphorous pesticides (56-63).
     Combining histochemical, electronic microscopy and electro-
physiological (micropotentials) methods of analysis, we succeeded
in proving that not only the activation of cholinesterase but also
the influence of the reactivators on the functioning of pre- and
postsynoptic formations are of importance in the mechanism of ac-
tion of OPC and diproxime (TMB-4) (59, 65).
     Proceed-'-^g from the hypothesis that reactivators close in
structure to acstylcholine can better reactivate cholinesterase,
we synthesized a  series of S-diethylaminoethyl  ethers of tiohydro-
oacirane acids some of which turned to be active antidotes of organo-
phosphorous pesticides (60-63).
     In the USSR  there is an orderly system of the toxicohygieiiic
appraisal of pesticides which enables both the problems of pesticide
introduction into farming practice  and of hygj-jnic regulation
to be solved in clue time. Rules are laldi down for the sequence

                                179

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and periods of examining the toxic properties of pesticides enter-
ing the organism by various routes, for the conditions and duration
of experiments on the study of the cumulative effect of substances,
for the duration of chronic experiments!  for the conditions of
experiments aimed at revealing the sonodotoxic,  embryotoxic,  teratc—
genie, mutagenic and allergenic properties of pesticides. The analy-
sis of pesticides should be carried out in such a manner as to
establish their potential and real dangers which may be dependent
not only on the toxic properties,  bat also on the ability to  cause
any pathogenic effect. Since it takes much work  and time to reveal
allergenic,  mutagenic, gonadotoxic, embryotoxic,  teratogenic   and
particularly blastomogenic properties in substances,  new pesticides
should be analyzed in stages.
     If a preparation is recommended for  pilot-plant production,
toxico-hygienic studies must be carried out in full scope and  end
in the establishment of hygienic standards and norms for the  content
of pesticides in the environmental objects (working zone air, atmos-
pheric air,  foodstuffs, water of water reservoirs).
     The hygienic standards must guarantee against any adverse
effect of pesticides on the health of man, and therefore in establi-
shing the standards the possible remote unfavourable after-effects
must be taken into account.
     For practical decisions about the possibility and scope  of  use
of pesticides, as well as about their hygienic standardization
of much importance is the elaboration of  quantitative criteria of
            on the basis of which the pesticide  can be related ID
                               180

-------
one or another group of hygienic  classification,  and the hygienic
standards can be determined (6).
     It should be stressed that there is an ever growing trend to
estimate the connection of the revealed changes with the duration
of the effect, to ascertain the probable threshold levels of the
effect of substances possessing a specific action or able to cause
remote after-effects. Along with the quantitative aspect of the
problem due attention is given to qualitative aspects such as the
study of biochemical and structural changes which determine  the
development of pathological processes.
                 as
     'Je consider Kthe most important  task in the study of   the
biological action of pesticides  the development of  the theory of
predicting the pathology which may be caused by them, and  the
.jovelopr.er.t, of criteria of their potential and real  danger. For this
it is necessary  to correla£eVaata obtained in experiments   with
laboratory aniaals in comparatively short-term studies with the
results of long-term observations during the entire  life of the
animal, as well  as during the life of several generations.  Of great
importance is the comparison of  the results of experimental and
toxicologies!  examinations wiva  the data of hygienic and social-
hygienic studies.

                           References
I, v.l.Polchenko. In: Hygiene of UsefToxicology of  Pesticides and.
   Clinical   Picture of Poisoning; Issue 6, Kiev, published, by
   7NIIGINTQX,1968,61.
                               181

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2. N.N.Melnikov. Modern trends' in the development  of  production and
   application of pesticides. M. , published by VINITI,I970.
5. N.K.Melnikov. J. of USSH Mendeleev Chei ical Society,I968,I2,248.
4, L.I.Medved» In: Hygiene of Use, Toxicology of Pesticides  and
   Clinic*! Picture of Poisoning. Issue 8, Kiev,published by
   VHIIGOTOK, I970,p. 5-
5. TtuS.Kagan. Ibidem, p. 18.
6. L.I.Medved, Yu.S.Zagan, E.I.Spynu. J.  of USSR Mendeleev Chenical
   Society, 1968 ,!£, 263.
7. K.I.Kabachnik. Ibidem, 1968,  1^, 242.
8. I.E. Dale, U.F. Cope land, W.T.Hayes. Bull. World Health  Org. ,1965,
9. E.Engst, B.Znoll. Phaimazie, 1969.24.673.
lO.W.F.Durbman. Ann.K.T. Acad. Sci. ,1969,160  ,183.
II.W. J.Hayes et al. Arch. Env. Health, 1971,22, 119.
12.M.Wacserman et al. J.Afr.lted. .1970.44.646.
I3.V.E.Iorubutova, L.P.Kondratieva. In: Hygiene and Toxicology of
   Pesticides and Clinical Picture of Poisoning. Kiev, Zdorovie
   (health), 1965, p. 184.
I4.G.V.Gracheva. Nutrition Problems, 1970,2^,128.
I5.L.P.Vaskovskaya. In: Hygiene of Use .Toxicology of  Pescidies and
   Cliiical Picture of Poisoning. Issue 7, Kiev, published by
   VNIIGINTOK , 1969 ,p .496
I6»L.I.liedved. In: Problems of Hygiene and Toxicology of Pesticidos,
   K.Medicina publish. ,I970,p. 75.
              Moldavian Health Sei"/ices,I970,2_,2.

                                182

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Ic. L.I.Komarova. In:Hygiene of Use,Toxicology of Pesticides and
    Clinical Picture of Poisoning:. Issue 8,Kiev,published by
    VHIIGINTOX,I970,p.62.
19. L.I.Komarova, L.F.Vaskovskaya. Ibidem,Issue 6,I%8,p.62,
20. 0.:,r.Nemirovskaya. In: Problems of Sanitary Propection of Environ-
    mert,Hygiene of Work and Prophylaxis of Diseases. L.,Medicina,
    I970,p.90.
21. G.V.Gracheva. In: Factors of the Environment and their impact on
    Public Health. Issue I,Kiev,ZdorovielI969,p.I25.
22. Yu.S.Kagan, G.A.Rodionov, O.M.Kilagin, L.Tu.Voproninfr. In:Hygiene
    of Use,Toxicology of Pesticides and Clinical Picture of Poisoning
    Issue 8,£Lev,published by VNIIPGINrQXtI970tp.69.
   . A.iI.Lukaneva,O.P.Petrovskaya, S.I.Ivanova. Ibidem,Issue 5,I967f
    p.263.
   . A.M.Lukaneva. Ibidem,Issue 6,1968,p.73I.
25. A.M.Lukaneva, S.I.Ibanova. Ibidem,Issue 8,1970,p.6J.
26. Yu.S.Zagan. In collection:Transactions of the VIII-th Congress
    of Hygienists of the Ukr.SSR,Kiev,Zdorovie,I97IfP«205.
27. U.A.Kuzniiaskaya. In: Hygiene of Use,Toxicology of Pescides  and
    Clinical Picture of Poisoning. Issue 8,Kiev,published by
    VNIIGINTQX,I970,p.IOI.
23* B.I.Khaikina, V.F.Shilina. Ibidem,p.I0i.
29. U»A.Kuzminskaya,I«I.Pavlova. Ibidem,p.110.
JO. 8»I.Fudel-Ossipova,S.D.Kovtun, A.I.Sokur. Ibidem,Issue 6,1968,
    p.707.
51. A.I.Sokur.Ibidem. Issue 9,1971,p.2IJ.
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32. jS.M.Semencheve. rbidem,Issue
33. U.N.Rybakova. Problems of Nitrition.1967,26,9-
35, A.Tarjan, T.Zerery. Pood Cosnet.Toxicol.,l9&9t2i2I5.
56. D.S.ilarkarian. Geneticsfl966,I,I3I.
37. V.S.Turussov. Problems of Oncology,I975f2I,No.12,p.37-38.
33. Yu.S.Kagan. Toxicology of Organophosphorous Pesticides and
    Hygiene of Work in Their Application. M.,Medgiz Publ.,1963.
39. S.A.Luzhni^ov, Y.A.Dagsev. Soviet Medicine,II,76,196^-.
40. I.S.Paerman. Therapeutic Archives,1965.37tNo.3.31.
4I.I.S.Paermant I.D.Volkova,3.S.Parfenova. Ibidem.1969.41.No.12.23.
42. R.D.Kimbrogh. T.B.Gaines. Arch.Env.Health,1968,16,805.
43. R.D.Kimbrough, T.B.Gaines. Toxicol.Appl.Pharmar I970,I7»679.
^4. V.A.Gofmekler, N.N.Pushkina, G.N.Zlevtshova. ^ygiene and Sanitary
    1963,No.7,96.
45. V.A.Gofmekler. Ibidem,I%9,No.8,47.
46. Z.S.Saraymanova. Effect of some toxic chemicals on genital systen
    Abstract of c thesis,Tashkent Med.Inst.,I97I«
47. Z.S.Saraymanova. Kh.S.Umarova. In: Urgent Problems of Obstetrics
    and Gynecology,Tashkent,Uedicina,I969tP.169.
48, V.M.Voronina.In: 3ygiene of Use,Toxicology of Pesticides and
    Clinical ^Picture of Poisoning. Issue 9>Eiev> published by
    VIJIIGINTOXfI97I,p.254.
49. E.K.Levkovskaya. In: Hygiene of Use.Toxicology of Pesticides and
    Clinical Picture of Poisoning. Issue 9,Eiev, published by
    VNIIGINTQX,I97I,p.I80.
50. W.Gibel, Kh.Lohs, Arch.f.Geschwulst forsch 37fI968,303.

                               184

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51. T.A.Mastryukova,A.3.Shipov,  E.B.Gorbenko et al.  News of USSR
    Academy of Science,Chemical  series, 1968,No.9,204-2.
52. T. A. Mastryuk ova, A. E.Shipov, E.B.Gorbenko et al. I"bidera,I97I,No.9,
    2003.
53. E,A.Brshova, Comparative Toxicological Analysis of NCT Organopho-
    sphorous Insecticides and Acaricides Containing Amino Acid Radi-
    cals. Abstract of a thesis,Kiev Inst.of Pharm. and Toxicol.,1972.
54. M.I.Kabachnik. ,Yu.S.Kagan,W.A.Klisenko et al. ImHiarm. • ari Toxic
    logy, Issue 8fKiev,Zdorovie,1973,p.118.
55. M.I.Kabachnik, A.P.Brestkin, H.Ta.Mikhelson. Mechanism of Physio-
    logical Action of Organophosphorous Compounds. IX-th Mendeleev
    Congress on General and Applied Chemistry. M,Nauka,I965.
56. M.I.Kabachnik. News of USSR Academy of Science,1968,5,86.
57* A.ft.Brestkin. Ins Chemistry and Application of Organophosphorous
    Compounds,M.,Nauka,I972,p.322.
58. lh.D.Dikovsky. Experimental Study  of the Mechanism of Ac ion of
    some Reactivators of CLolinesterase in DDVP Poisoning. Abstract
    of a theses,Kiev Medical Inet.,1971.
59. Kh.D.Dikovsky, Yu.S.Kagan, S.D.Kovtun et al. Fiziologichniy
    Zhurnal,l973fI9,3IO.
60. V.E.Krivenchuk, L.I.Brizgailo. Im fyglene of Use,Toxicology of
    Pesticides and Clinical Picture of Poisoning. Issue 8,Kiev,
    published by VNIIGINTOX,I968,p.438.
61. V.E.Krivenchuk, V.E.Petrunkin. Author's Certificate of USSR,1970,
    No.287931t Bulletin of Inventions  No.36,27,1970.
                                185

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62. Tu,S.Kagan,L.P.Danilenko, V.I.Krivenchuk, V.E.Petrunkin. Ini
    Modern Fharmocological Problems, Kiev, Zdorovie,I97Ifp.I09.
6J. lU.S.Kagan et al.,Ph«rm. and ToxicolrI975fNo.3tp.294-297.
                              186

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                METABOLISM AND PERSISTENCE OF PESTICIDES  AND
                     OTHER XENOBIOTIC CHEMICALS IN FISH

                            John J.  Lech,  Ph.D.
                      Medical College of Wisconsin
                        561 North 15th Street
                       Milwaukee, Wisconsin  53233
     Although studies in the early 1960's had indicated that fish do not
metabolize drugs or foreign compounds to any extent,  several investigators
have demonstrated the presence of microsomal mixed function oxidases and
conjugating enzymes in livers from several species of fish (1-3).  The
results of these investigations have indicated that many species are able to
oxidize, dealkylate, reduce and conjugate foreign chemicals in vitro.

     Based on these studies, the level of hepatic microsomal enzymes in many
species of fish appear to be lower than that observed in mammals, but
quantitative in vivo studies to substantiate this point have yet to appear.
Even though biotransformation products can be formed enzymatically using
fish liver preparations in_ vitro, it is difficult to predict from an in_
vitro study which, if any, such products will be formed during in vivo
exposures.  In a study involving the biotransformation of the lampricide 3-
trifluoromethyl-4-nitrophenol (TFM) in rainbow trout, the formation of 3-
trifluoromethyl-4-aminophenol and N-acetyl-S-trifluoromethyl-H-aminophenol
was demonstrated using liver preparations in vitro (4-).  However, the only
detectable metabolite formed in_ vivo during exposure to TFM was 3-trifluoro-
methyl-4-nitrophenol glucuronide which was excreted to a large extent in
bile (5).  The disposition of two other phenolic compounds (Bayer 73) and
pentachlorophenol (PCP), have been studied in rainbow trout, and the major
metabolite of both of these compounds appears to be the glucuronide conju-
gate, although conjugation of pentachlorophenol with sulfate has been
reported in other species (6,7).

     Studies of the fate of 1-naphthyl-N-methyl carbamate (Carbaryl) in
rainbow trout have indicated that a major pathway of metabolism involves
hydrolysis to 1-naphthol and conjugation of naphthol with glucuronic acid
(8).  Esters of the herbicide 2,4D undergo hydrolysis to the free acid in
several species of fish (9,10).

     Since enhanced excretion appears to be the consequence of conjugation
of compounds possessing functional groups such as OH, NH2 and COOH, with
glucuronic acid, of great interest relevant to residue persistence is the
oxidation of more non-polar compounds which do not have these groups such as
                                     187

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the polycyclic aromatic hydrocarbons found in crude oils and the poly-
chlorinated biphenyls (PCB's).  Naphthalene and 3,4- benz;opyrene have been
shown to be oxidized to more polar compounds by several species of marine
fish, and these metabolites appear to be excreted in urine and bile (11).
The polychlorinated biphenyls are highly persistent contaminants and
residues of these compounds in fish have presented a major problem.  Most
studies have indicated very low rates of metabolism of the PCB's in fish
and residue persistence is measured in terms of months or years (12,13).

     Laboratory studies concerning biotransformation and persistence of
xenobiotics in fish present some major obstacles when compared to mammalian
investigations, and techniques which are directly relevant to the natural
environment have been slow in development.  Even relatively simple in vitro
studies using liver preparations must be approached with an appreciation of
the differences in optimal assay temperature (.2) which exists among
different species of fish as opposed to mammals.

     Realizing that the tasks of evaluating a multitude of chemicals in many
species of fish would be an enormous undertaking, attempts have been made to
develop predictive methods for certain chemicals which have a high bio-
accumulation and persistence potential.  By measuring the rate constants for
uptake and elimination in a constant flow exposure system, a theoretical
bioconcentration factor can be calculated (14).  This factor has been shown
to be directly related to the partition coefficients of the compounds
studied, and in a limited series, the calculated and experimental values
appear to agree quite well(14-).

     Besides serving to clarify the relationship of biotransformation to the
pharmacology and persistence of foreign chemicals in fish, information
gleaned from these studies has some immediate practical applications.  In
many monitoring programs, analytical procedures are designed to determine
residues of only the particular chemical under investigation and not its
metabolites.  In some instances this can be quite misleading.  Muscle
sampled from pinfish which were exposed to malathion for 24 hours contained
little or no malathion but did have considerable concentrations of the
monocarboxylic acid metabolite of malathion (15).  Similar findings have
been reported for esters of 2,4D (9).  Even though the original chemicals
were not detectable, the presence of metabolites revealed that the fish were
exposed to the parent compounds, and this information in itself may be one
of the more important considerations.

     A possible application of studies concerning the biotransformation and
biliary excretion of a number of xenobiotic chemicals is the use of fish bile
sampling as an aid in monitoring for certain chemicals (16).  In this study
it was shown that many of the more water soluble compounds which do not have
a high bioconcentration potential in tissues such as muscle are excreted in
a highly concentrated form in bile.  Sampling of bile from caged or wild
fish in suspect areas may provide a -convenient means of enhancing monitoring
programs.
                                     188

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 REFERENCES
 1.  Adamson, R. H,  Fed. Proc. 26: 1047, 1967.

 2.  Dewaide, J. H.  in Metabolism of Xenobiotics. Drukkerji Leijn,
     Nijmegen, 1971.

 3.  Pohl, R. J., Bend, J. R., Guarino, A. M. and Fouts, J. R.
     Drug Metab. and Disp.  2_: 545-555, 1974.

 4.  Lech, J. J. and Costrini, C. N.  Comp. Gen. Pharmacol. 3: 160,
     1972.    '                                              ~

 5.  Lech, J. J.  Toxicol. Appl. Pharmacol. 24: 114, 1973.

 6.  Statham. C. N. and Lech, J. J.  J. Fish. Res. Bd. Can. 32;
     515, 1975.

 7.  Akitake, H. and Kobayashi, K.  Bull. Jap. Soc. Sci. Fish
     41: 321, 1975.

 8.  Statham. C. N., Pepple, S. and Lech, J. J. Drug Metab. and Disp.
     _3: 400, 1975.

 9.  Rogers, C.  A. and Stalling, D. L.  Weed Sci. 20^: 101, 1972.

10.  Statham, C. N. and Lech, J. J.  Toxicol. Appl. Pharmacol. 36:
     281, 1976.

11.  Lee, R. F., Sauerheber, R. and Dobbs, G. H.  Marine Biol. 17:
     201, 1972.

12.  Lieb, A. J., Bills, D. D. and Sinnhuber, R. 0. J.  Agr. Food
     Chem. 22: 638, 1974.

13.  Guiney, P.  D., Peterson, R. E., Melancon, M. J. and Lech, J. J.
     Toxicol. Appl. Pharmacol. (In Press).

14.  Branson, D.R.  Symposium on Structure- Activity Correlations in
     Studies of  Toxicity and Bioconcentrvvtion with Aquatic Organisms.
     International Joint Commission, Canadian Center for Inland Waters,
     1975, page  99.

15.  Cook, G. H. and Moore, J. C.  J. Agr. Food. Chem. 24: 631, 1976.

16.  Statham, C.N., Melancon, M. J. and Lech, J. J.  Science, 193: 680,1976.


                                    189

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       Pesticide Movement in the Organism of Farm Animals

                       G. A. Talanov
       Research Institute of Veterinary Sanitation, Moscow

    I. Pesticides may enter the organism of farm animals in feeds,
water, air or through the skin when treating the animals to protect
them against ectoparasites. However, only oral and cutaneous path-
ways are of practical importance,
    2.Further fate of pesticides depends on the properties of
chemicals, ways of their entering the organism, and animal species*
Persistent organochlorine pesticides (DDT, HCCH, aldrin, heptachlo-
rine, etc*) are resistant to the alimentary canal microorganisms
and ferments, have poor water solubility and, therefore, slow ex-
cretion from the organism in urine, and, being lipoidophyllic, may
accumulate in adipose tissue. Organophosphorus and carbamate insec-
ticides, herbicides-derivatives of phenoxy-acetic acid, series of
triazines, urea, and many other pesticides are mostly decomposed
by the alimentary canal microbes and ferments of the organism when
entering through mouth. Polarity of these compounds is considerab-
ly higher than that of organochlorine pesticides and, therefore,
they may be better excreted through urinary tract. In this connec-
tion, degree of material cumulation of organophosphoms and other
                                190

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similar pesticides in the organism of farm animals, their excretion
in milk and eggs when entering internally are hundred times lower
than that of organochlorine compounds similar to DDT. Thus, if the
coefficient of material cumulation "feed-fat" of various species
of animals ranges from 5 to 20 for DDT, and from 0.5 tol for gam-
mer—iscaer HCCH, it is less than 0.01 for one of the most stable
organophosphorus insecticides - trichlorometaphos-J. The level
of excretion, in milk for DDT and HCCH when entering internally
is 5-1095 of theresidual amount in feed and it is 100-200 times
lower for trichlorometaphos. Residues of organophosphorus and car-
hamate insecticides, herbicides, and fungicides, with the excep-
tion of mercuric compounds, in feeds for farm animals are of in-
significant practical importance and are not able to exert a ne-
gative influence on the sanitary quality of animal production.
Contamination of milk, meat, and eggs through feeds may mainly
occur at the expense of organochlorine insecticides, heavy metals,
PCB, arsenic, and other stable chemicals. This is confirmed by
the results of mimerious investigations of the animal production
samples carried out in the Soviet Union, the United States, and
other countries*
    3* For ruminants (cattle and small cattle), decomposition of
pesticides entering through mouth may mainly occur at the expense
of the paunch microorganisms, whereas for poultry, the liver fer-
ments play a decisive role. This is confirmed by the difference
in the pathways of the p^-DDT metabolism. For ruminants, p,p'-
DDT mainly metabolizes to p,p*-DDD, This pathway is possible un-
                                191

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der the influence of anaerobes only. For poultry, most of the p,p' -
DDT converts to pfp'-DDE that is characteristic for the fermental
breakdown of this compound.
     4, Penetration of nonpersistent pesticides in water is much
more hazardous from the toxicological and sanitary point of view.
For ruminantsttoxicants together with water enter directly abo-
masum avoiding paunch, then small intestines and blood. In this
case, hydrolyzing action of the paunch microbes is eliminated.
Therefore, different physiological effect and residual content
level in tissues and milk are observed when applying pesticides
in  feed and water at the same doses,
     5- Somewhat different regularities were found in the pesticide
behavior in the organism of farm animals under the external appli-
cation. Well known are the long-term retention of DDT, HCCH, chlo-
rinated terpenes, and other persistent pesticides in the organism
of animals and their excretion in milk and eggs when spraying cattle
and  poultry. Therefore, organochlorine insecticides, with the ex-
ception of HCCH, are not used for the treatment of farm animals
in the Soviet Union, Organophosphorus compounds are Thinly used
for  this purpose. However, many lipoidopbyllic Organophosphorus
compounds may be conserved in adipous tissue from 7 to 75 days un-
der  cutaneous application depending on the sort of pesticide, type
of treatment, and species of animal. Most of the pesticides of this
group are excreted in milk and eggs in larger quantities than when
entering through mouth at the same doses.  This appears to be ac-
counted for by the fact that Organophosphorus compounds may easily
                               192

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penetrate in blood through undamaged skin and are not subjected
to destructive action of the alimentary canal microbes, as it oc-
curs when chemicals enter through mouth. In this connection, the
necessity arises to investigate behavior in the organism of any
pesticide which is recommended for the external treatment of ani-
mals to establish regulations for its use.
    6* Organochlorine insecticides are mainly concentrated in the
fat of animals as well as nonpolar organophosphorus compounds. Their
content in other tissues is considerably lower. Degree of pesticide
accumulation in fat and duration of their retention in tissues are
inversely proportional to their polarity. Thus, 5 days after a single
injection into sheep of diazinon (OfO-diethyl-0-(2-isopropil-4-me«»
thyl-6-pyramidil)thiophosphate), phtalophos (imidane), trichloro-
metaphos-2, gamma-isomer HCCH, and pp1 -DDT at the dose of 20 mgr
per kg of weight, the residual level wast 0.4-} 1.40} 1.60; 4,08,
and 18.8 mg/kg - in fat and O.Oi; 0.45; 0.40; 0,?8, and 0.56 mgr/ke-
in muscles, respectively.Therefore, the content of residual DDT
in fat was higher than that in muscles by a factor of 55, HCCH -
5.5, trichlormetaphos-3 - 4, phthalophos -5.1, and diazinon - 4.
This data also shows that there is no substantial difference in
residual contents of organophosphorus insecticides (phthalophos
and trichlorometaphos—5) and organochlorine compounds (HCCH and
DDT) in muscular tissue of sheep.
                                193

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            MATHEMATICAL MODELING OF PESTICIDES IN THE ENVIRONMENT

                                James Hill IV*
                United States Environmental Protection Agency


      Several   modeling  and  systems  analysis  techniques  are  particularly
applicable  to the problems presented by pesticide chemicals.

      Component  modeling  of  the  processes  affecting  pesticides  is   well
developed   by  comparison with our ability to coordinate these components in a
model of a  whole environmental system.   Current modeling of pesticides treats
their distribution as a transport phenomenon where the pesticide is associated
with  air, water, or  soil/sediment movement.  Specific process  components  are
coupled  to the transport model where they relate directly to the degradation,
transformation, or transport-media exchange of the  pesticide.   The  chronic,
long-term   effects and consequent ecosystem responses that are not represented
in these models are  now recognized to be as important as the short-term  acute
effects.

      Total  ecosystem models can be developed for pesticides; however, the data
required  to  support  realistic  simulations in models of this resolution are
prohibitive for a large number of pesticides.  Linear approximations of  total
ecosystem   models,  which  represent  all  processes  as  pseudo  first-order
processes,  can be supported with considerably reduced  data  requirements  and
provide a format for sensitivity and worst case analyses.

      The  problems   of  identification  of  indirect environmental effects and
evaluation  of complex system interactions associated with pesticides can  only
be resolved through  co-evolution of laboratory, field, and modeling approaches
to  these   problems.   The application of ecosystems theory, examining all the
aspects  of stress,  stability,  energy  fluxes,  nutrient   cycles,   carbon
metabolism, and trophic structure in environmental systems, is emerging as one
of  the  modern  approaches  to  the  complex problems of chemical pollutants.
Although ecosystem models and analysis allow for evaluation of complex  system
interactions  and  for quantification of indirect environmental effects, their
data requirements are prohibitive for application to most pesticides.

     The developing  theory of hierarchial models with nested levels of control
and interactions among subsystems has a potential application to the pesticide
problem.   In  applications  of  hierarchial  modeling  to  pesticides  in  the
environment,  subsystems  of a hierarchial, ecological model that are affected
*Environmental Research Laboratory,  United  States  Environmental  Protection
Agency, College Station Road, Athens Georgia  30601.
                                     194

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by the pesticide may behave without hierarchicalconstraint and the behavior of
constrained  subsystems may be observed as indirect responses to the pesticide
in the context of higher level control and interaction.  One of  the  problems
associated  with  this  application  of  hierarchial  modeling  theory is that
environmental systems have a "closed causal structure."

     Influence analysis provides quantitative measures of the organization  of
system  structure  and  may allow a complex ecosystem model to be reduced to a
minimal subset of aggregated components and condensed interactions  such  that
the  behavior of the complex model is qualitatively preserved.  If the reduced
model can be related to the constituents of a  laboratory  microcosm,  then  a
link   between   laboratory  experiment  and  whole  system  behavior  may  be
established.

     Research needs to be directed toward mathematical  modeling  that  allows
translation  of  laboratory  measurements  of  pesticide  effects  on  growth,
physiology, and environmental interaction to field conditions.   Thus,  models
need  to  be  developed  that  estimate  whole system behavior based upon data
representing a limited set of component interactions. Hierarchical models with
constrained subsystems  and  homomorphic  structures  derived  from  influence
analysis may accomplish these goals in the near future.

REFERENCES

1.   Crawford, N. H. and A. S. Donigian, Jr.  1973.  Pesticide  Transport  and
     Runoff  Model  for  Agricultural  Lands.   U. S. Environmental Protection
     Agency, Contract Number 68-01-0887.

2.   Davidson, J. M., G. H. Brusewitz, D. R. Baker, and  A.  L.  Wood.   1975.
     Use  of  Soil Parameters for Describing Pesticide Movement Through Soils.
     EPA-660/2-75-009,  U.  S.  Environmental  Protection  Agency,  Corvallis,
     Oregon.  162 pp.

3.   Donigian, A. S., Jr. and N. H. Crawford.  1976.  Modeling Pesticides  and
     Nutrients  on  Agricultural  Lands.   EPA-600-76-043, U. S. Environmental
     Protection Agency, Athens, Georgia.  318 pp.

4.   Eberhardt, L. L., R. L. Meeks, and T.  J.  Peterle.   1971.   Food  Chain
     Model for DDT Kinetics in a Freshwater Marsh.  Nature.   230:60.

5.   Finn, J.  1975.  Measures of Ecosystem  Structure  and   Function  Derived
     From Analysis of Flows.  J. Theor. Biol.  In press.

6.   Gillett, J. W., J. Hill  IV, A. W. Jarvinen, and W.  P. Schoor.    1974.   A
     Conceptual  Model for  the Movement of Pesticides  Through The  Environment.
     EPA-660/3-74-024, Government Printing Office.   79 pp.

7.   Gillett, J. W. and J.  Haefner.   1975.  Mathematical Modeling of Pesticide
     Fate.   In:  Substitute Chemical  Program - The First Year of  Progress.   U.
     S. Environmental Protection Agency,  Washington,  D.  C.   pp. 65-71.
                                      195

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 8.    Goodman,  E.  D.   1975.   Review of Research Plan  for Whole   Systems  Model.
      In:    Substitute  Chemical   Program   - The First Year of Progress.  U. S.
      Environmental Protection Agency, Washington, D. C.  pp. 53-60.

 9.    Hannon, B.   1973.  The  Structure of Ecosystems.  J. Theor. Biol.  41:535.

 10.   Harrison, H. L., 0. L.  Loucks, J. W. Mitchell, D.  F.  Parkhurst,  C.  R.
      Tracy,  D.   G. Walls, and V.  J.  Yannacone, Jr.  1970.  Systems Studies of
      DDT Transport.   Science.  170:503.

 11.   Hill, J., IV.  1976.  Influence:  A Measure of Structural Organization of
      Systems.  PhD Dissertation.   University of Georgia, Athens.  200 pp.   In
      preparation.

 12.   Hill, J., IV, H. P. Kollig, D. F. Paris, N. L. Wolfe,  and  R.  G.  Zepp.
      1976.   Dynamic  Behavior  of Vinyl Chloride in Aquatic Ecosystems.  EPA-
      600/3-76-001, U. S. Environmental Protection Agency, Athens, Georgia.  63
      pp.

 13.   Lassiter, R. R.  1975.  Modeling  Dyanmics  of  Biological  and  Chemical
      Components  of Aquatic  Ecosystems.  EPA-600/3-75-012, U. S. Environmental
      Protection Agency, Corvallis, Oregon.  52 pp.

 14.   Pattee, H.  H.   1973.   Hierarchy  Theory:   The  Challenge  of  Complex
      Systems.  George Braziller, New York.

 15.   Patten, B. C.  1973.  Need for an Ecosystem Perspective in Eutrophication
     Modeling.  In:  Modeling the  Eutrophication Process, E. J.  Middlebrooks,
      D. H. Falkenborg, and T. E. Maloney (eds.), Ann Arbor Science,  p. 227.

 16.   Patten, B. C., R. W. Bosserman, J.  T.  Finn,  and  W.  G.  Cale.   1976.
      Propagation of Cause in Ecosystems.  In:  Systems Analysis and Simulation
      in  Ecology, Volume IV, B. C. Patten (ed.), Academic Press, New York.  In
      preparation.

 17.   Randers, J.  and  D.  L.  Meadows.   1971.    System  Simulation  to  Test
      Environmental Policy:  A Sample Study of DDT Movement in the Environment.
      Systems   Dynamics   Group,   Alfred   P.  Sloan  School  of  Management,
     Massachusetts Institute of Technology, Cambridge.   52 pp.

18.  Reiger, H. A. and E. B. Cowell.  1972.  Applications of Ecosystem Theory,
      Succession,  Diversity,  Stability,  Stress  and   Conservation.    Biol.
     Conserv.  4:83.

19.  Reichle, D. E.   1975.   Advances  in  Ecosystem  Analysis.   Bioscience.
      25(4):257-264.

 20.  Tomovic, R. and M.  Vakobratovic.   1972.   General  Sensitivity  Theory.
     Elsevier, New York.
                                     196

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21.   Waldichuk, M.   1973.   Trends in Methodology for Evaluation of Effects  of
     Pollutants  on  Marine Organisms and Ecosystems.  CRC Critical Reviews in
     Environmental  Control, February 1973.  pp. 167-210.

22.   Woodwell, G. M., P. P. Craig, and H.  A.  Johnson.   1971.   DDT  in  the
     Biosphere:  Where Does it Go?  Science.  174:1101.

23.   Zeigler,  B.  P.   1972.   The  Base  Model  Concept.   In:   Theory  and
     Applications  of Variable Structure Systems.  R. R. Mohler and A. Ruberti
     (eds.), Academic Press, New York.  pp. 69-93.

24.   Zeigler, B. P.  1974.  The Aggregation Problem.   Manuscript,  University
     of Michigan.  20 pp.
                                      197

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    QUALITY ANALYSIS AND NUMERICAL EXPERIMENT IN ANALYZING
    THE EFFECT OF THE ANTHROPOGENIC POLLUTION OF THE BIOTA

                       V.M.Voloshchuk
           Institute of Experimental Meteorology,Obninsk

   I, Successful application of the mathematical modelling in
various fields of science, e.g. physics,chemistry,meteorology, etc.,
revives hope in the effeciency of this method of research when used
for tackling the analyzing of the effect of anthropogenic pollution
on the biota. The analysis of the first results obtained in this
way seems hopeful in regard of the promising aspects of the method
if it is employed for solving the environment protection tasks,
particularly, the multiparameter ones, as well as in studing the
reaction to the exterior disturbance of the systems with the extreme-
ly complicated inner dynamics. Consequently, a necessity arises to
intensify the further research devoted to •nhe mathematical formula-
tion of the environment protection problems and the progressive
improvement of the methods of the mathematical modelling of these
problems and their solution. However, it is worth mentioning here
that in parallel with some specific difficulties inherent in these
problems, the difficulties of a different nature have been revealed
in the first publications on the question. These latter are mainly
due to the overliberal approach to the solution of the tasks or with
                               198

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a noncritical transfer of the knowledge  acquired in other fields
of science to the environment protection problem. In the  first case,
an unnecessarily voluminous experimental material undergoes mathema-
tical processing which, as a rule, requires the involvement of the
powerful modern computing devices without a serious preliminary
analysis. That often leads to getting rather trivial results at the
expense of much time and labour. In the second case, the mathematical
models are developed on the basis of the differential equations in
partial derivatives(the equations of convective diffusion,Shroedin-
ger's equation, etc.) without sufficient grounds for using these
types of equations to describe the processes under study.
  2.  The author is of the opinion that the following two ways look
most promising for the analysis of the anthropogenic pollution
effect on the biota with the help of the mathematical modelling:
   - the quality analysis of the mathematical correlation formulated
on the basis of the general quality reasoning concerning possible
interrelation between various phenomena;
   - the quantitative formulation of the mathematical correlation
on the basis of the analysis of the experimental material and the
general lawa of science\ carrying out of the numerical experiments
with the help of this correlation.
  The efficiency of the first way can be illustrated  by Voltairre's
model generalized by A.M.Kolmogorov and describing the inner dyna-
mics in the  "predator-prey"  system with the stable fluctiations.
The author has in this way analyzed the reaction of the biocenosis
consisting of a  single independent biological population  to the
                                199

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exterior disturbance. One of the essential results obtained has been
represented in the established opportunity for the ecoresonance to
appear in case of the combined exterior disturbances connected for
instance with the anthropogenic pollution, and capable of causing
some dramatic changes in the   evolution of the biocenoses. The
actual appearance of the ecoresonance in one or another biocenosis
under the given conditions can be checked only through the numerical
experiments.
   The advantages of the second course can be substantiated by the
Soviet and foreign publications of various tasks1 solutions in the
field of the environment protection.
                               200

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    BASIC MATHEMATICAL MODELS OF TOXICANT  TRANSPORT  THROUGH
                   THE SOIL PROFILE
                 Dr.  V.V.  Rachinskii
    Timiryazev'  Academy of Agricultural Sciences,  Moscow

    I. Basic models
    The general theory of sorption dynamics and chromatography [l,2j
should be used for the theoretical description of toxicant  transport
through the soil profile. Specific feature of HBx^antv1 transport1
through the soil profile as compared with the ordinary sorption dy-
namics in a chromatographic column is the fact that apart from fil-
tering transport and dynamic sorption, toxicant  transport is accom-
panied by the processes of chemical and microbiological decomposition
and transformation of pesticides. Moreover, in the soils with plants
present a portion of a toxicant  is absorbed and removed by plants.
All these features may naturally complicate the quantitative descrip-
tion  of dynamics of pesticide distribution through the soil profile.
It is necessary to choose an inductive method to solve this problem
(that is from the simple to the complex), first developing  the simplest
models and then gradually making them more complex.  Let us work out
basic sets of differential equations which may describe toxicant  trans-
port  through the soil profile.
                                 201

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     (I).The simplest model should provide  for two physical processes:
 filtering toxicant transport in the  flow of  soil solution (under rain-
 fall and  irrigation) and its dynamic sorption (toxicant sorption under
 the conditions of mobile liquid phase filtration). These processes may
 be  described by a set of equations of material balance
 and  of  sorption  kinetics
                                                                (2)
    With  a very  slow filtration, it is possible to substitute the
sorption  isotherm equation
for the sorption kinetics equation assuming an approximately equilib
rium sorption process.
    Solutions of the sets of equations (1-2) or (1-3) are given in
many publications on the theory of sorption dynamics and chromato-
graphy (for example, [l,2j).
    (2). In the absence of sorption, pesticide transport may be des-
cribed with the filtering transport equation considering a longitu-
dinal quasi-diffusion:
       . When sorption is absent, but there exist a process of pes-
ticide transformation (in particular, decomposition),  it is necessary
                                 202

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to take into account the material loss by transformation:
where /^/ ^-B ^e function of pesticide transformation kinetics.
    (4). Finally, in the presence of sorption and pesticide transfor-
mation, a set of equations in general form will be:
                           = f fa A/)                       (7)
    Correspondingly chosen initial and boundary conditions should be
imposed on these sets of equations. These conditions predetermine va-
rious  regimes of pesticide transport through the soil profile. By ana-
logy with chromatography, it is possible to define three major regimes:
frontal, elutive and displacive flf2j. Frontal regime occurs under
continuous application of pesticide solution through the soil surface
( for  example, under irrigation). Elutive regime is at first an ap-
plication of a portion of pesticide solution into the soil and then
the soil washing with water. Displacive regime is an application of
a portion of pesticide solution into the soil and then the soil wash-
ing with a solution containing a  substance which desorbs pesticide.
    To study the processes of pesticide transport through the soil
profile it is necessary to combine two methodological approaches:
mathematical and physical experimentations.
    Mathematical experimentation  means compiling the specific sets
of transport dynamics equations,  solving them under given conditions
                                 203

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 and working out functions of pesticide  distribution through the soil
 profile.
     Physical experimentation provides for  carrying out physical ex-
 periments to study dynamics  of pesticide distribution through the
 soil profile under given  specific  experimental conditions. Physical
 experiments will yield  certain parameters which may be used for ma-
 thematical experimentation - simulation.

     2. Asymptotic  solution of the  sorption dynamics problem usinp;
       the kinetic  parameter of time lag
     An approximated sorption kinetics equation derived by the method
 of  lagging coordinates using the parameter of time lag ( £ ^.<* •£ )
 makes it  possible to take  into account  a simultaneous influence of
 various factors  on  sorption  kinetics disregarding specific mechanisms
 of the process. Here the lag constant *t- is considered to be deter-
mined experimentally TjJ.
    A set of eorption dynamics and kinetics equations  with the initial
and boundary conditions takes the form:
                                          *   J/
                                                             (8)
                                                            (10)
                                204

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    In a case of convex isotherm the stationary front of dynamic
sorption is known to be formed in the column. Changing to the mobile
coordinate system   2" ~ X - UL  , where  If" is the velocity of the
stationary front movement, it is possible to integrate the set of
equations (8)-(9) and to transform it as follows:
      ctn      n- h f(n)
                                            = r*°'~       (12)
    Let us introduce the relative concentrations  a —/?//?o  and
            and consider the Langmuir isotherm of sorption:

                                                            (13)
                           «fc '  A-» J
where  Q - & =1.
    After  algebraic transformations we may  obtain the following ex-
pression:
           •5 ff       iin                  	,-*-/  rs •   o i »\ r/n
                                                             C.
                                  f-a)     V
    Now integrate the expression  (14) on the assumption that the iso-
therm is slightly curved, that is cf^/C/^f^ const,  (in a case  of the
Langmuir isotherm it is equivalent to the  condition  D^^ I) and
determine  the  integration constant C [l»2j. Tnen we may obtain the
following  expression:
where         _
            L ~~ *~      ?J-2
                        "                                    (16)
                                 205

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    Since from the solution  of the  set  of equations  (8)-(9) it fol-
 lows  that  !/=" V    ,   ,  the expression (15)  may  be finally written
 as follows:
    The expression (17) agrees with the result obtained in work
for the Langmuir isotherm and the diffusion kinetics equation
            C  J """ *  )   where  B is the sorption kinetics constant.
In comparing it is seen that j  ~    ^  • The introduced parameter
additive ly allows for kinetic and longitudinal effects.
    3. Equilibrium sorption dynamics at a variable velocity of the
       mobile phase
    In some cases one has to study the process of toxicant sorption
dynamics at a variable velocity of the mobile phase: Uzz-fyft:).  Let
us consider the following initial set of equations for equilibrium
sorption dynamics at a variable flow velocity:
                                                              (19)
    Using the change  dT/ot = U&)/1 L + $ (/7 ) J)   we may ob-
tain the following expression from (18) and (19) :
                                                              (20)
    Now give the following initial conditions: £ = 0(^=0)^ fl =/7o
                                  206

-------
where  f)o is some characteristic concentration and W-K/ is the con-
tinuous function of initial material distribution.
    The method of characteristics (initial value problem) for the ex-
pression (20) leads to the following formula:
            o                                                 (22>
     Since  iff?)  is  the arbitrary function, it is possible to choose
the  unit function  Cfej ~ £6* ~~ ^)   as  a  solution. Then the solu-
tion to the  equation (20)  will also be  the  following function:
               n fl-i  — •/ -. ^ /^ } W-  ^ /V )
               n //in — 1   LC*' ^  T I*/                        (?"*>}
                 I  *^                                            V ^~ ^ X
     The solutions (21)  and (23)  satisfy the initial condition (20)
and  boundary conditions:
                                        n = n0                  (24)
                                        n=0
                                                               (25)
    The condition (24) is the frontal sorption dynamics and the con-
dition (25) is the elutive sorption dynamics. The solutions (21) and
(2J) may also be obtained by the method of operational calculus. In
this case the Laplace transformation must be performed first with
respect to X  and then with respect to u . A limitation of this method
is that the validity of the solutions is only proved for the linear
sorption isotherm.
    From the solutions (21) and (23) we may obtain a generalized ex-
pression for Wicke law £5]:
                                 207

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                                                                 (26)
     The solutions obtained are general, and the solutions of equilib-
 rium sorption dynamics at It - const, are the special case of the ob-
 tained ones.

                      Designations
     H  is  the linear sorbate  concentration in solution in the  soil
 pores;
     N  is  the linear sorbate  concentration in sorbed state;
     H0 is  the initial and  equilibrium concentrations of sorbate  in
 solution;
 M,  is  the equilibrium concentration of sorbate in sorbent which
 corresponds to the concentration H.Q ;
 V  is  the distance  from the soil surface level;
 ±  is  the time of the process;
££)* is  the quasi-diffusion coefficient of longitudinal sorbate trans-
 port additively accounting all the  factors of non-filtering longitu-
 dinal transport:  molecular diffusion, hydrodynamic statistical non-
 uniformity of the mobile phase flow;
 *C  is  the characteristic  time lag  formally accounting sorption ki-
 netics.
                                 208

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                         References
I. B.B. PaiMHCKMft  (v.v. Rachinskii ). BseaeHMe  B  odmyio TeopHM
   UUKVL coptfuMH H  xpOMaTorpa$MH. M.,  "HayKa", 1964.
2. V.V. Rachinskii, The general theoiy  of sorption dynamics and
   chromatography. Consultants bureau,  New York,  1965.
3. C.E. Epecaep, fl.C. y$JiHHfl  (s.E. Bresier, Ya.s.  Uphland  )•
   TexHW^ecKoa $H3KKM1 T.  23, N?3, 1953.
4. B.B. Paq^HCKHfi  (v.v. Rachinskii ). K TeopMH  craaHOHapHoro $pOHra
                copduHM. B c(5. "HccjieflOBaHHfl B  ocJjracTH HOHOodweHHOti
                     M ocaao^HOtt xpowaTorpa^HH".  M.,  Has. AH CCCP,
   1959.
5. E.W. Wicke. Koll. Zst., 1939. B.  86.  H. 2.
                                 209

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     MATHEMATICAL MODELING AND  CONTROL AS A RADICAL WAY OF THE
     ENVIRONMENTAL PROTECTION PROM PESTICIDE CONTAMINATION

                       E. I. Spynu
   Research  Institute of Hygiene and Toxicology of Pesticides,
Polymers, and Plastics, U.S.S.R. Ministry of Public Health, Kiev

     The biospheric protection from pesticide contamination aimed at
safegarding  the  "healthy biosphere" is based on the complex of stages
including prediction of the substance behavior and control over this
process, check of the control accuracy, and introduction of the pre-
diction and  control corrections, L. I. Medved* (I971) points out
that when considering the pesticides purposely dispersed in the en-
vironment, emphasis should be placed on the prediction stage.  At the
stage of preventive supervision it is necessary to work out regula-
tions and standards as well as to test the conditions of pesticide
application which provide the environmental protection*
    Thus, preventive measures against contamination of the  human in-
habitation environment should be considered as a problem of control
over the pesticide-environment system including all stages  of  the
pesticide routes
    I. Dissipation in the environment.
    2. Distribution on the objects (plants,  soil,  water).
                                210

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    J. Behavior in each medium.
    4. Migration between the media.
    5. Total disappearance from the biosphere.
    This principal of the activity arrangement will provide opportu-
nities to determine and regulate the conditions of their application
acceptable from the viewpoint of both hygiene and plant protection
before the dispertion of pesticides in fields, forests, and gardens*
    It is known that the behavior of chemicals in the environment
£s a very complicated process. This is a complex of various changes
described by the laws of hydro* and aerodynamics as well as chemi—
oal kinetics (the number of simultaneously occuring chemical reac-
tions is not amenable to the precise quantitative estimation), in-
teractions with living organisms, effects of the evolution factors,
and others.
    Thus, we consider a complicated, dynamic, and multidimensional
system which is made up of a great number of subsystems, elements,
and bonds (as  any large system). The problem is to control this sys-
tem at the quantitative level, that is the stages of modeling-pre-
diction also are required on this basis of control over the process.
    As the initial  stage, it is advisable to represent schematically
the pesticide-environment system being described to a first appro-
ximation. Generalization of the published data and our observations
enabled us to  propose  a hypothetical model of this system  (Figure I).
Four  subsystems have been conditionally chosen (air, soil, water,
and plants)  and major  factors  have been named which define concent-
ration as a  function of time within each block and between them.
                                 211

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                                                                                                      Fig.  1
to
»-«
to
                       X2, ,X
                           23
                       |c=f(t)   in basins]
                                                    jc_=  fU) in air]
[~C = £(t) in soil
                  ,
                                                    C = f(t)  in plantsH

-------
                                                     To Figure It
  Xj is the pesticide molecular weight;
  X2 is the temperature of pesticide Belting (boiling);
  X3 is the fat solubility;
  X^ is the water solubility;
  X5 is the pesticide persistence at pH of 5-8;
  Xg is the pesticide volatility;
  X- is the pesticide persistence at pH of 5;
  X8 is the pesticide persistence at pH of 8;
  Xg is the plant pH*
10*10 is the water content of plants;
      is the total acidity;
 25
  XT2 is the nitrous substance amount;
      is the fat amount in plants;
      is the cellulose amount;
      is the ashes content;
      is the pectinic substance amount;
      is the content of proteins;
      is the total amount of sugar;
      is the frequency of treatments;
  X2O iB the rate of P*8ticlde application on treatment;
  X2I is the average air temperature;
      is the total precipitation;
      is the relative air humidity;
 28
 30
 33
 37

 58
 39
 40
and
is the velocity of air movement;
is the humus content in soil;
is the soil pH;
is the absorbing capacity;
is the soil moisture capacity;
is the soil density;
is the mechanical composition of soil;
is the total absorbed bases;
is the amount of phosphorus compounds;
is the nitrous substance content;
is the amount of fertilizers applied;
is the microorganisms;
is the species of nurse crop;
is the yielding capacity of nurse crop;
is the depth of root system bedding;
is the trade mark of the chemical which entered the soil;
is the way of chemical application;
is the average soil temperature;
is the soil moisture;
is the water pB;
is the amount of oxygen dissolved in water;
is the water temperature;
others.

-------
     Questions arise concerning the process of pesticide  interaction
 within each subsystem as well as changes of the  effect with chang-
 ing these or those input and internal variables  and interactions
 between the adjacent media*  The number of measurements necessary  to
 describe these processes is  incredibly great (the level  and dura-
 tion of pesticide content, meteorological parameters, biochemical
 and chemical reactions,  etc.).  It  is  impossible  to  take  account of
 all these factors experimentally as a great number  of variables and
 variants of interactions changes.  Necessity is evident to use the
 methods of cybernetic modeling  for description of the problems of
 this kind.
     Let us consider this approach  using as an example the pesticide-
 plant subsystem*
     We  have  systematized and classified the  data of world publica-
 tions and our experimental investigations  in dynamics of degrada-
 tion of pesticides belonging to different  chemical classes in va-
 rious species of plants under the  varying  conditions of application*
When generalizing this information, an  attempt has been made to re-
veal the  sequence of  the pesticide-plant interaction mechanisms tak-
ing place and factors which determine them. There is little informa-
tion on this  problem.
    It  has been found that a number of biotic and abiotic factors
are  of  substantional significance in the process of pesticide degra-
dation  and that the physical and chemical properties of compounds
play  a  leading role in the outcome of the process of interaction
with plant organism. Of great importance in the mechanism of pesti-
                                214

-------
cid« transformation are the factors of plants.  So when applied on
•the plant, the stock of substance undergoes a number of quantitative
and qualitative changes under the influence of the experimental con-
ditions and properties of plant surface. Penetrating deep into plant
tissue, pesticide may undergo various transformations in hydrophi-
lous fractions and accumulate in lipophilous tissues. Formation of
complex compounds with carbohydrates, amino acids, and other plant
components may be one of the forms of substance transformation. There
are various types of pesticide biotransformationt oxidation, hydro-
xylation, epoxidation, N-dealkylation, dehalo- and dehydrogenation,
conjugation with sugars, etc. It is evident that plant enzymes have
a dominant role in the processes of pesticide degradation and trans-
formation.
    However, the information available covers only individual small
links  in  the chain (or chains) of numerous reactions of the pesti-
cide-plant interaction.
    It should be emphasized that since the process of this inter-
action occurs under the  conditions  of continuously varying numerous
factors of the  environment, these  latter have a  pronounced effect
on  the outcome  of the process  causing new numerous bonds and  reac-
tions.
    The foregoing proves that  it is very difficult to  choose  the
type  of mathematical description of the  process  being considered.
    When describing  complex systems, complete  knowledge of  the pro-
cess is commonly absent. Then one  may neglect the "unessential fac-
tors" * random effects,  influence of the conditions external to the
                                 215

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 given system, aad other uncertainties in the information and if it
 is still possible to gain a general idea of the behavior of chemi-
 cal and a role of the essential factors, the classic apparatus of
 differential equations can be used. However, such information is
 not available for the subsystem being considered in terms of the
 problem set*
     It is evident that advisable is the  use of the models on the
 "black box" principle. Probability statistical approach makes it
 possible to be satisfied with the information on the actual course
 of the process digressing from the essence  of physical  and chemical
 and chemical and biological reactions.
     In the  last few  years the  theory of  image identification has
 been used to predict multidimensional process with the  information
 of this  kind available. To synthesize the model we have  used one
 of the methods of heuristic  self-organization, namely the  method
 of group analysis of arguments  (Ivakhnenko,  A.G.,  I971).
     The  information  accumulated contains the data on 90  processes
 of pesticide degradation  in fruit  and vegetable (except roots and
 tuber-plants). The data have been  analyzed which  characterize ki-
 netics of 15 pesticides belonging to  different chemical classes
under various conditions of their application. 22 indications
both direct and indirect, were taken  into account and quantitative-
 ly evaluated (we used direct measurements and the method of ex-
pert estimates). Analysis of these data showed that four groups
of factors affect the rate of pesticide degradation (Figure 2)t
    I.  Physical and chemical properties of pesticides (molecular
                                 216

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         weight, melting temperature,  fat solubility, water solubi-
         lity, persistence at different pH values, volatility).
      2. Treatment conditions (number of treatments, rates of pes-
         ticide application)*
      3. Climatic parameters of  the environment (average air tempe-
         rature over the period  from the beginning of treatments to
         the end of investigations, total precipitatiom over the
         same period).
      4. Properties of  plants.
                                                              Fig. 2
                                Physical and
                              Chemical Properties
                                of Pesticides
             Conditions
            of Treatment
             (Xe . . . Xm)
Chemical Properties
    of Plants
       ' ' ' V
                                 Climatic
                                Parameters
Determination of these latter turned out to be  the  most compli-
cated. Taking into consideration that the problem is not clearly
understood  and the information available is scant,  we assumed hy-
pothetically that all components of the chemical composition of
plants directly or indirectly participate in  the process of pes-
                                 217

-------
 ticide interaction with plants.  In accordance with this, the fol-
 lowing factors were considered:  pH of the culture, water content
 of plant,  total  acidity,  nitrous substances, fats, cellulose, pec-
 tinic  substances,  ashes,  proteins in culture, total amount of su-
 gar in plant.
     Exponent has been used as an approximating function of dynamics
 of the  process being studied. Classification has been performed
with the time  constant value.
     The formula of  identification of the pesticide conservation
duration in crop products is of  the following form:
    Pa(X/Ri) =
where P (X/R.,) is the probability of classification of the process
       ft    ~
      with a certain class;
               ) is the probability of indication combination oc-
      curence in the H^   class.
    In terms of practice, the method of calculations provides op-
portunities to predict the level of residues and life duration of
a given pesticide in various cultures at different climatic para-
meters and under different conditions of its application.
    Verification has been made at the experimental plots in eight
climatic and geographical zones of the Soviet Union (Estonia, Lat-

                                218

-------
via,  Lithuania, Byelorussia, Ukraine, Moldavia, Georgia, Armenia)
to  test the hypothesis  validity  and possibility to use the  formula,
The results of comparison between the calculated  data and actual
information obtained  at the experimental  plots in the above-men-
tioned zones  of the country showed that the average accuracy of
prediction was ?0#.
     Several examples  are given in Tables  1,2 and  Figures 3,4.
                Table I. Comparison of the actual and calculated data on
                       the duration of conservation of several orgauo-
                       phosphorus pesticides in apples and tangerines
                :  Pozalon  : Phthalophos :    Anthio  : Carbophos : Phosphamide
        Pesticide :  (zoloa)  .  (imidane)  :  (formothion):(malathion):
                :   Duration of conservation
        Culture
                :Act.:Calc.x):Act.iCalc.: Act.:Calc.J Act.:Calc.s Act.:Calc.
        	•--,,.-._!_-,-,„	„*	,-,-Jr	  !._.-*...   : 	  *     :    .'.__-—_.
        Apples    30    35    20    26   18    25   18   25   20   26

        Tangerines 12    21    12    21   18    25   17   21   12   20

           x'Upoer limit of the calculated value.

                    These data were obtained by L. G. Adeishvili, 1975.
     The  stages mentioned  - model  synthesis  and prediction are ne-
 cessary  to achieve the primary practical purpose - control  over
 the pesticide-plant system with regard to the requirements  of hy«
                                     219

-------
           Table 2. Comparison of the actual data on the. duration of
                    conservation of several organophosphorus pesticides
                    in cherries and sweet cherries
Pesticide  «
               Cidial    :   Carbophos   :   Metathion  :  Phosphamide  : Fozalon
           , (papthion)   :(malathion)   :(byer 4I8JI)  j
                                                :  (aolon)
               Duration   of  conservation
Culture
          !Act. : Calc.x's Act.  : Gale.:Act.:Calc.: Act.  : Calc.:Act.:Calc.
          :      :        t       :::::::
Cherries    20
Sweet
<£h-erries___
            20
25
25
16     16     15     16     20      25    48     60
15     16    II    16    21     24    50    62
     Upper limit of the calculated value
               These  data  were obtained bj E.  Z.  Ordzhonikidze,  1975
                                                                   Fig. 3
       C(mg/kg)
       1.67 -i
        ',5
        1,2  -
                -A  actual
  A	a calculated]
  o      o actual
  o	o calculated
    	•  actual
    	•  calculated
                                   tangerines

                                   apples

                                   grapes
                                                          t(days)
                                  220

-------
                              A	
  actual    "I
  calculated]
  actual
-Q calculated
  actual    1
  calculated]
           tangerines

           apples

           grapes
                                                           Fig. 4
                              12
17
              20  t(days)
glen* and plant protection.  It is essential that when predicting
tiae, Bite, and numbers of pests, calculation of the level of re-
sidues and pesticide  degradation duration under the given specific
conditions should be  performed. This combined prediction will pro-
vide opportunities  to choose the control decision approaching the
optimal one.
    On the basis of these data it is possible to perform sorting
out of variants (pesticide assortment, species of culture, etc.).
The general diagram of control over the process is shown in Figure  5
where computer symbolyzes the predicting system which can be the
prediction formula at the lowest level of organization  and State
predicting system - at the higher level.
    Description of the individual environmental components  as  a
large and complex system is the most important element  of the  pes-
                                 221

-------
ticide  behavior prediction and control from the moment of pesticide
dispersion when treating plants, distribution in  various media,
fate  in each of them, and  migration between them  to the complete
disappearance from the biosphere.
                                                                  Fig. 5
   Physical and Chemical
       Properties	
     Conditions of
      Application
        features
        of Medium
Computer
Formula of
Identification
                                           Change of
                                           ReguLations
                     Befepeaces
                                                          Authorization
                                                          of Application
                                                         Yes
Comparison
with Standards
                                                         No
Ivahkaenko,  I.G., Spynu, E.I.,  et al. "Gigiena i  Sanitarija",
   No. 10, p.  *3 (1972).
Ivahknenko,  A.G. "Systems  of Heuristic Self-Organization in Tech-
   nical  Cybernetics*1, Kiev, Technika (1971).
Medved1,  L.I.  Im "Pesticide Application Hygiene, Their Toxicolo-
   gy, and Intoxication1*,  Kiev, Izd-vo VNIIGIHTOX, J, p. 5 (1971).
Spynu, B.I.  and Ivanova, L.N. "Voprosy Pitanija**, No. I, p. 76
   (1976).
                                  222

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    MODELING OP PESTICIDE  DEGRADATION IN  PLANTS AND EVALUATION
                 OP THEIR  APPLICATION SYSTEMS

                        L. N.  Ivanova
    Research Institute of  Hygiene and Toxicology of Pesticides,
Polymers, and Plastics, U.S.S.R. Ministry of Public Health, Kiev

    Increasing efficiency of the preventive system of pesticide
contamination of crop production is possible under the properly
chosen conditions of pesticide application (rates of pesticide
application, frequency of treatments, terms of carrying out treat-
ments before harvesting) with regard to the persistence of these
substances  and properties of the medium. A possibility to choose
an  acceptable variant of the conditions mentioned should be cre-
ated before carrying out treatments.
    One  of  the ways to solve this problem is the use of the me-
thods  of modeling, prediction,  and monitoring. The second  step is
presently made  on  the way of mathematical modeling of pesticide
content  dynamics in plants consisting in the development of an
improved mathematical model (L.  N. Ivanova, 1976)* The first  step
on this  way was the previously  developed probability model co-
vered  rather comprehensively  in several  publications (A. G. Ivakh-
nenko, et  al.,  1972%  E. I.  Spynu, L. N.  Ivanova,  1975%  etc.).
                               223

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     The previously developed probability model provides a simpli-
 fied calculation of pesticide level and duration of conservation
 in fruit and vegetables which is acceptable for practical use;
 however, this model has somewhat limited possibilities  of predic-
 ting and monitoring the process of contamination.  To develop  this
 model the problem of statistical classification of the  processes
 being studied by the level of pesticide content and duration  of
 their conservation has been solved,  that is the parameters men-
 tioned have been divided into several  classes.  As  a result, the
 prediction amounts to identifying the  class into which  the pre-
 dicted quantity  falls.
    Natural was  a desire  to develop  a  more  accurate model  of pes-
 ticide  disappearance  from plants for the purpose of prediction.
 Some investigators  believe  that  the  most accurate models which
 more completely  reveal  the  regularities  of  the phenomena being
 studied can be developed  by means  of the apparatus of differential
 equations.  It has been  this  approach that has been applied along
with the algorithm  of differential identification.
    It  should be noted  that  in modeling pesticide degradation a
 great body  of information on the cause and  effect relationships
was brought  a priori. There  is no doubt that in so complicated
phenomenon  as the process being  studied these relationships were
 not clearly traced, the more  so as the mechanism of its proceeding
was not revealed equally  and  completely for the majority of pes-
 ticides. However, the information on possible mechanisms is con-
 taiaed  in the experimental data and can be used for solving the
                               224

-------
problem of prediction* Mathematical methods have been developed
to handle incomplete and inaccurate information characterized by
both direct and indirect indications. These methods provide pre-
diction accuracy acceptable for practical use* We used one of
them, namely the method of group analysis of arguments synthesized
by A* 6. Ivakhneako (I971) in modeling the process of pesticide
disappearance in plants* This method was used to solve other prac-
tical problems, such as calculation of hydrobiological parameters
(J. Duffy and H, Franklin, 1973) aad others.
    The process of pesticide content reduction in the plants con-
taminated by them can be described by the following  equation:
     dC(X,t)
       dt
           - = C(Xtt)
                                                        n - I
(I)
 where Kj(X), K2(X),  ...,  Km(X)  <: 0  are  the  negative  constants  of
       the rate of the  process;
       X is the vector characterizing the physical a&d chemical
       properties of pesticides, features of  plants,  conditions  of
       treatments, and climatic parameters*
     An acceptable accuracy is obtained with two members on the
 right side of the equation available* Direct integrating is pos-
 sible providing
       *             dKT(X)   dK2(X)
                     __i	 « —£	 - o,
                       dt       dt
 and each individual process is described by an equation of the
 form:
                                225

-------
                         CA(X)  •  e"KI(x)t
         C(X,t)  =	2	...—
                                    I -
where  C(X,t)  is the current pesticide concentration;
       C  (X) is the initial pesticide content in the vegetative
       object;
       Kj(X) and Kp(X) are the constants of the rate of the pesti-
       cide degradation process.
    It is possible to restrict oneself to one member on the right
side of  equation (I) and approximate the contamination reduction
process  to exponent. The description obtained provides possibiliti»s
to determine the rate constants Kj(X) and I^CX), and the current
concentration C(X,t) from the values of vector X known beforehand
at the moment of time t which is of interest to us.
    The process being studied is amenable to control, and the pro-
positions worked out to fit the control systems are valid for it.
According to R. Lee (1966), two problems are to be solved to ana-
lyze these control systems:
    I. Direct problem - the description of dynamics of the object
or process being studied.
    2. Inverse problem - the indification (finding) of parameters
from the experimental data.
    So we have made an attempt to solve both problems for the pro-
cess of pesticide degradation, that is not only develop the des-
cription of an individual process but also identify its constants
                              226

-------
and, using them, predict the output value C(X,t).  This provides
opportunities to control a given value by meaas of the properly
chosen conditions of carrying out treatments.
    Using the prediction formulas, it is possible to calculate the
moment of time at which pesticide treatments of farm crops are to
be carried out before harvesting, that is the  so called waiting
time (tw), with the values limiting food stuff contamination avail
able (FRA - permissible residual amounts). tw can be calculated
with formula (3) assuming the first order kinetics to be dominant
in the process of pesticide disappearence:

                      In FRA - In C.(X)
    From the hygienic viewpoint, the relation between the predicted
 level  of pesticide content in the object which is of interest to ust
 that is C(X,t),  and the value of FRA can be used as a certain
 dimensionless  index of safe  application of a given chemical.
 Residues of several pesticides may be found in the yield by the
 moment t_  due  to the wide-scale use of the systems of farm crop
 chemical protection with  certain assortment of chemicals and se-
 quence of  their application. To evaluate food stuff contamina-
 tion in this  case it is necessary to introduce an index defining
 safety of  these systems of plant protection. As  one of  these  in-
 dices, the dimensionless  quantity can be used which is  calculated
 with the following formula:
                                221

-------
                  QC V
                                   PRAi
 where Q(tw) is the safety index of the system which is always
       less or equal to unity;
       K^  is the  reserve coefficient which allows  for possible
       newly revealed adverse effect of the pesticides being  stu-
       died;
       C(X,tw)  is the concentration of  the i    pesticide  at the
       momemt of harvesting.
    Thus,  the  obtained  mathematical models of  pesticide  degra-
dation in  plants provide  opportunities to calculate  an approxi-
mate level of  pesticide contamination  of  fruit and vegetables
and not only determine  but also choose the acceptable  regula-
tions  of pesticide application (waiting time). The formulas have
been developed which make it possible  to  evaluate safety of the
application of one pesticide as well as of a system  of quite a
number of  chemicals.
                              228

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                     Refer*ac«s

Duffy, J. and Fraaklin, H. "A Cases Study of Environmental System
   Modeling with the Group Method of Data Handling", Ohio State
   University, Columbus, Ohio. June, pp. IOI-III (1973).
Ivahknenko, A.G. "Systems of Heuristic Self-Organizatioa ia Tech-
   nical Cybernetics", Kiev, Technika (I97D.
Ivahknenko, A.G., Spynu, E.I., Patratii, I.Z. and Ivanova, L.N.
   "Mathematical Predicting of Pesticide Degradation Duration ia
   Plants According to Probability Algorithms of the Method of
   Group Analysis of Arguments", "Gigieaa i Sanitarija", No. 10,
   p. 43 (1972).
Ivanova, L.N. "Improved Model of Pesticide Behavior in  Plants and
   Evaluation of the Systems of Chemical Protection Application".
   In: "Application of Mathematical Methods to Evaluate aad Pre-
   dict Real Pesticide Hazard", Kiev, Izd-vo VNIIGINTOX,p. 25
   (1976).
Lee, H. "Optimal Estimations, Determiaatioa of Characteristics,
   and Control", Moscow (1966).
Spynu, E.I, and Ivaaova,  L.N. "Methodical Instructions  on Predict-
   ing Pesticide Residues in Crop Production and Terms  of Carry-
   ing Out the Last Treatments", Moscow, Publishing House of the
   U.S.S.R. Ministry of Agriculture  (1975).
                               229

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                THE MODEL OF THE PESTICIDE  CIRCULATION
                           IN FERGANA VALLEY
                    (Koropalov V.M., Nazarov I.M,)

     In this paper by an example of Fergana Valley a mathematical
model is considered  which describes pesticides circulation in the
intermountain valley with a limit-^ed release outside. We were in-
terested in what aspects of the pesticide cycle are principal and
what is the possibility to assess the permissible loading on the
ecosystem, »Ve tried to obtain adequate description of the pesticide
circulation with the help of minimum number of parameters, which for
rather reliable estimates could be obtained. In Fergana Valley DDT
was used until 19'/0 when it was prohibited. / /,£,3/. Residual
amount of DDT  circulating in the ecosystem, allowed us to get ex-
perimentally a number of transfer parameters, a part of parameters be-
ing taken irom literature. / f , g ,ff /. .»e consider pesticides
transfer between One atmosphere, soil, waoer .nd vegetation. In
Fergana Valley a rather high agricultural cultivation of the ter-
ritory caused a wide development of erosion / ^/. This, in its
turn, favours soil particles polluted with pesticides to enter the
atmosphere as a result of weathering. At the same time a high air
temperature in this region favours pesticides evaporation from the
soil surface and vegetation and then volatilizing with water vapours
                               230

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Life-time of gaseous and aerosol fractions of pesticides in the
atmosphere differ significantly, so it seemed reasonable to consider
aerosol and gaseous fractions of the pesticides in the atmosphere
separately. Further, since pesticides are applied not over the whole
area of the valley, all the soil in the model is divided into two
parts: soil I - fields  treated   with pesticides; soil II -
the residual area of the valley  where pesticides were not applied.
Due to this very reason we consider vegetation only on soil  where
pesticides are not applied directly. The differential equation set
describing the circulation of pesticides between the ecosystem media,
can be written as following
              c*p-+ +
  ctt         *.              ,
                    .t  f_
                 J- (*«£ +  »ixCz \ _  C,
                 ^(  r»       7?s  '     Ta
                                            Tf
                                             C,
                                231

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where  Cy, C2  -  pesticide,  concentration in the atmosphere, in ... aero
                sol  and  vapour phases, respectively   .
       C-jUn   -  pesticide,  concentration in soil I and II,
       Cc - pesticide  concentration in water.
       C, - Pesticide•; concentration in vegetation,
         " atmosphere volume of  ...j Fergana Valley.
         — mass of the  surface layer of soil I and II.
         — water mass.
         - vegetation mass.
     P   - velocity of  incoming pesticides  into the valley.
     ft  - a fraction of  pesticides falling-out directly on the fields
         during treatment.
    -fi)- » fraction of  pesticides released into the  atmosphere in  the
         form of aerosols  during field treatment.
   -/) - a fraction of  pesticides released into the  atmosphere in  the
         form of a vapour  phase during field treatment.
  7\'/  - retention time  of pesticides in  i-th medium determined by
         pesticides transfer from i-th medium into  J    (^J )
  Tii  ~ retention time  of pesticides in  6-th medium,determined "by
         direct decomposition in  <--th medium.
   Ti  - total retention time of pesticides in c-th medium.
                  TV  "
Now let us consider and assess pesticide fluxes between various media
of our ecosystem. Further all specific estimations of the pesticides
fluxes will be performed for DDT v/hich found the widest application
                               232

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Its displacement between different media is studied most completely
compared with other pesticides  /  10, II/. When developing the model,the
amount of DDT released into the atmosphere at th» moncnt of application
and due to secondary application  is supposed to "be homogeneously mixed
throughout the whole air volume of Fergana Valley and then fall-out
uniformly over the whole area.  The sedimentation velocity of DDT,
connected with a coarse-dispersed aerosol  according to  our data is
                   o
within(0.4— I.2)»IO~ m/sec. For the DDT vapour  sedimentation from the
atmosphere two estimates are known, namely ,4* 10  cm/sec and 5*IO~'Tn/sec,
In the first case the rate of DDT vapour deposition on  glass was
measured, in the second one - that on water surface   /9/ •
Usually, vapour and aerosol pesticides phase   present in the atmos-
phere simultaneously. It is found, that often  only about half of DDT
in the atmosphere is in the vapour phase and in the atmosphere with
increased aerosol content this  part is still less /£ /. To take
into account the effect of meteorological  parameters  on the atmospheric
transfer of DDT there was considered  a two-layer atmospheric model
of Fergana Valley. Vertical distribution of DDT in the  atmosphere both
for aerosols and vapours was described with the help  of tae equation*
C$>e*f>[%f
          I—
                               **-       *-*>       *****
where IK.*^* - coefficients of turbulent exchange in the lower and
              upper layer.
                                233

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         /,£  - sedimentation velocity of DDT  vapour and aerosols,
               respectively   ,
         n
         "   - the altitude of the  lower and  upper layer of  the
         £     atmosphere,   respectively  .
             - surface  air  concentration of DDT vapour  and aerosols
               respectively.
 vVith allowance for particularities of the air-mass exchange  in  u'ergana
 Valley  /  £   /  DDT transfer beyond its limits can take place through-
 out  the year only across the  upper atmosphere boundary  and  periodi-
 cally in case of Ursatjevsky  wind.  Though methods  of pesticide  income
 can  be  various,  in principle  they  reach soil surface. Soil  is like
 a reservoir  for  pcsticio.es where they  are either  transfered  into
 other media  or decomposed. Quantitative assessments of  pesticide
 flows due to  uptake by plant  root  system, washout  with  surface
 run-offs, carrying away with  dust,  and  volatilization were taken from
 papers / & , 9 , /£/. The  systematic application  of pesticides  on
 areas the most part of which  is a watershed, leads  to a fact, that
 run-off of melted  snow, rain  and irrigating waters  from agriculture
 fields becomes?-a  source of water-bodies  pollution.  Waste waters from
 the irrigated  territory of -b'ergana Valley are removed into continous
hollows and rivers. Di>T decomposition in water was  studied in paper
/ & /. It was  found  that  time of DDT decomposition in water changed
vitiiin 112-139 ciays depending on pH. Since the river system has its
 output beyond  the valley,  part of pesticides will be carried away due
 to natural water exchange.
     With a help of our model we tried to follow dynamics of DDT re-
distribution in Fergana Valley throughout a year. DDT concentration
                                234

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in  different media was  calculated with a period of  a month.  Mean
values of  parameters  used in  the model  are  given  in 1'able  I. Some
parameter   values  (showing DD11 income  into the system, valley airing^
                                                  Table  I
                     Mean Values of Model Parameters
                     IW-1                   45-10^ km^
                                           45-103 km3
                                           24-108 t

                                           50-108 t
                     fne                    8-106 t
                     /<                     O.J»
                     ^                     oo
                     &                     o
                     ^                      0.2 km
                     ^                      2 km
                     K'                      1 m2/sec
                     K^                    10 m/sec
                     "^                     1-10~2 m/sec
                     ^<                     1-10  m/sec
                                            1-10   1/moat/l
                                            2-10~2   -ii-
                    KC3.3)                   1.1-1U-1 -ii-

                    K^'O                   ^.'o-4 -.-
                    K(^(<2)                  2-10"2   -ii-
                    KC^j^)                  1.1-io~1 -ii-
K (^,^)                   1.7-10"5  -ii-

  Kr f 
-------
 DDT evaporation from cultivated fields) change considerably  throughout
 a year so they were taken as time functions.  Thus rate  of Di)T  incoming
 into the system was described with a function
 where P^ - amount of DDT entered the valley for a month during a pe
 riod of maximum application, £ - coefficient of increased DDT  appli
 cation. In this paper ^e give  only calculations for a constant velo
 city of application of DDT (i.e.           fa  = 0) at a rate  -of
 10 kg/ha.  The decrease of DDT  concentration in  the atmosphere  when
 airing the valley,  was as following
                / xi               . /gt- u )
               dC±z   _ /o   CQ^ 17£V           ^ £ ^
where TJJ = one day, i.e. valley airing for a period from June to
December is supposed to increase from null to maximum possible. Re-
sults of some calculation versions are given in i<'ig. 1-2. The relat-
ion of vapour phase to aerosol one equal to 1:2 was assumed to remain
constant in the atmosphere. Initial concentration in all media was
supposed to be equal to zero. Redistribution of DDT between media
was calculated for the first two years since the start of DDT appli...
cation. The change of a mean atmospheric concentration of DDT associa-
ted with the aerosol for two states of the atmosphere  is shown in
       cthe,
Mg.1. InVTirst case a good mixing in the atmosphere (K. = 10 m /sec
for the whole atmosphere of the valley) and airing are supposed. In th
                                236

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       1*
       --
       I
       1
                       6            U            19
                                             time <•«. tnantA.)
   Pig.1, Mean concentration of DM (aerosols)  in the atmosphere.
          (1)  - f^  s 1, &,  = 10 m2/sec,  zx = 2  km;
          (2)  - f,,  = 1, Kn  = 1  m2/sec, K2 = 10  m2/sec, zx = 0.2 km,
          airing is absent.
second case there is no airing^and mixing is much weaker ^K =1m /sec,
Kp=!0m /sec, zx=20(Jm),  Mean DDT concentrations in the atmosphere in the
                                                      , the,
case of good turbulent mixing is 4 times higher tttan irfSase of bad
one. It's worthnoting that mean concentrations characterize total
content in the atmosphere. If pass from mean concentrations to air
surface one we'll find that suri'ace atmospheric concentration of DDT
  the,
i'fiYBecond case is higher compared with the  first  one. In  order to
estimate the role of the atmosphere for DDT dispersion  we  calculated
     concentration in water for two cases: inVfirst  case DDT was  sup-
posed to enter water due to wash-out  of  soill and due to the atmosphe-
                                 237

-------
                rthe,
ric fall-outs, rnYsecond  case, - DDT  comes  to water  only  due  to  the
atmospheric fail-outs. The calculation results  showed   that DDT  income
into water is mainly through the atmosphere. Consequently a conclusion
may be made that a principal role in  the redistribution of DDT between
various media belongs to  the atmosphere. The removal of DDT beyond
the valley, as it was said already, can be while airing the valley
and across the upper atmosphere boundary due to the turbulent dis-
persion. DDT flows from the valley are shown in Fig.2 for the case
when half amount of DDT at the moment of its application  falls out
                                    3       Jl
                                     titne (a. mofit/i)
         (1)  rate  of DDT  incoming into  the  valley.
         (2)  DDT removal  from  the valley when  airing.
         (3)  DDT removal  across  the  upper boundary  of  the  valley,
                                238

-------
on the fields and half of it enters the valley atmosphere. On the
basis of the calculations it follows  that DDT removal  outside  the
valley^HO^ from the used quantity.   In  conclusion we should like
to note,  that this model can probably be used to describe pesticide
circulation in other regions. The values of  a number of parameters
should be changed but this will change  the general picture of pesti-
cide  circulation in the biogeocenosis.
                           References
 I.  ffl.T.  AiadaeB (Sh.T. Atabaev  ), IlecTMiwujt H rumena BHemnefl
    B ycjiOBMHx acapKoro KJiuwaTa. HssaTCJiLCTBO "MejHUHHa", 73CCP, Tan-
    K6HT, 1972.
  2. r.A. BeJIOHOKKO, K).A. KyqaK (G.A. Belonozhko, Yu.A.  Kuchak), TH-
                xapaKiepMCTMKa coaepxaHHH necTwmwoB B aTMOc$epHOM B03-
        . B KHwre: FHrueHa npHueHeHMH, TOKCMKOjiorHH IUCCTMUHAOB H KJIM-
                  tt, 1970.
 3.  K.A.  IIoHa$HAMH (K.A. Ponaphidin), CoxpaHeHHe necTHitMaoB na xjion-
            H B no^Be XJIOHKOBUX nojieft. Tpyau Bceco»3Horo HayMHO-Hccjie-
                  HHCTMiyTa sautHTti pacieHHti, sun. 35, cip. 81, 1972.
 4.  K.C.  KaJILHHOB (K.G. Kalyanov ), flHH3MHKa npOUeCCOB BeipOBOli 3p03MH
    no^B. Ha^aTejiBCTBO "HayKa", MocKBa, 1976.
 5.  C.r.  tJaHiimeBa (B.G. Chanysheva ), UeCTHUe  B6TPH CpeflHeK A3MH.
                , 1966.
                                  239

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  6. E.H. roHwapyie, B.M. UanpHH, K.C. CTe$aHCKHfi, B.PI.
     (E.I. Goncharuck, V.I. Tsipryan, K.S. Stephanskii, V.I. Perelygin),
                      GTOflKOCTH necMiWEiOB B BOfle, noqse H pacTCHHHx.
             M caHMiapHfl, N2 10, 1975.
 7. J. Randers, DDT movement in the global environment, p. 49. Toward
    global equilibrium. Ed. by D.L. Meadows and D. Meadows, Cambridge,
    Massachusetts, I975»
 8. J. Cramer, Model of circulation of DDT on earth. Atmospheric Knvi-
    ronment, vol. 7, p. 241, 1973.
 9- G.A. Whatley, Pesticides in the atmosphere. In: Environmental pol-
    lution by pesticides, ed. by C.A. Edwards, 1973.
10. C.A. Edwards, Knvironmental toxicilogy of pesticides. London, 1972,
II. W.F. Spencer, Movement of DDT and its derivatives into the atmos-
    phere. Residue reviews,  vol. 59, p. 91, 1975.
12. W.F. Spencer, W.F.  Farmer and U.K. Chath, Pesticide lolatilization.
    Residue reviews,  vol. 49, p.  I, 1973.
                                 240

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                              TECHNICAL REPORT DATA
                        (Please read Instructions on the reverse before completing)
 REPORT NO.
EPA-600/9-78-003
                         2.
                                                   3. RECIPIENT'S ACCESSION-NO.
4. TITLE AND SUBTITLE
Symposium on Environmental Transport and
Transformation of Pesticides
                                                   5. REPORT DATE
                                                      February 1978 issuing date
                                                   6. PERFORMING ORGANIZATION CODE
7. AUTHOR(S)
                                                   8. PERFORMING ORGANIZATION REPORT NO.
 S.  G.  Malakhov,  Co-Chairman,  U.S.S.R. Side
 David  W. Duttweiler,  Co-chairman/  U.S. Side
9. PERFORMING ORGANIZATION NAME AND ADDRESS
Environmental Research Laboratory—Athens, GA
Office of Research and Development
U.S.  Environmental Protection  Agency
Athens, Georgia    30605
                                                   10. PROGRAM ELEMENT NO.
                                                      1BA609
                                                   11. CONTRACT/GRANT NO.
12. SPONSORING AGENCY NAME AND ADDRESS
Same  as above
                                                   13. TYPE OF REPORT AND PERIOD COVERED
                                                   14. SPONSORING AGENCY CODE

                                                     EPA/600/01
15. SUPPLEMENTARY NOTES
16. ABSTRACT
       Under the USA-USSR Agreement on Cooperation in the  Field of Envi-
ronmental Protection,  a joint project committee on environmental trans-
port  of agricultural chemicals  (pesticides  and fertilizers)  sponsored  a
symposium on 20-27  October 1976  in Tbilisi,  USSR.  Papers were presented
by American and Soviet scientists on the movement and transformations  of
pesticides in the  atmosphere, in soils, in  water, in plants, and in ani-
mals,  and on the use of mathematical modeling to describe the transport
and transformation  of pesticides in the environment.  Twenty-six papers
encompassed reviews of the state of the art in each country and results
of research on particular aspects of the topics.
17.
                            KEY WORDS AND DOCUMENT ANALYSIS
                DESCRIPTORS
                                        b.IDENTIFIERS/OPEN ENDED TERMS
                                                                 COSATI Field/Group
Pesticides
Agricultural chemistry
Transformations
Pollution
                                                                  12A
                                                                  57P
                                                                  68A
                                                                  68D
                                                                  68E
13. DISTRIBUTION STATEMENT

RELEASE TO PUBLIC
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21. NO. OF PAGES
     249
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EPA Form 2220-1 (»-73)
                                       241
                                              • U. S. 60VEMNENT Plimil(6 OfFKE: I978-757-UO/6687 Region No. 5-11

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