modeling agricultural- environmental ...pure.iiasa.ac.at/id/eprint/2022/1/cp-82-705.pdfiiasa...
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IIASA COLLABORATIVE PROCEEDINGS SERIES
MODELING AGRICULTURAL- ENVIRONMENTAL PROCESSES
IN CROP PRODUCTION
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IIASA COLLABORATIVE PROCEEDINGS SERIES
CP-81 -S1 LARGE-SCALE LINEAR PROGRAMMING Proceedings of an I IASA Workshop, 2-6 June 1980 G.B. Dantzig, M.A.H. Dempster, and M.J. Kallio, Editors
CP-81 -S2 THE SHINKANSEN PROGRAM : Transportation, Railway, Environmental, Regional, and National Development Issues A. Straszak, Editor
CP-82-S1 HUMAN SETTLEMENT SYSTEMS: Spatial Patterns and Trends Selected Papers from an IlASA Conference on the Analysis of Human Settlement Systems T. Kawashima and P. Korcelli, Editors
CP-82-S2 RISK: A Seminar Series H. Kunreuther. Editor
CP-82-S3 THE OPERATION OF MULTIPLE RESERVOIR SYSTEMS Proceedings of an International Workshop, Jodlowy Dwor, Poland, 28 May-1 June 1979 2. Kaczmarek and J. Kindler, Editors
CP-82-S4 NONPOINT NITRATE POLLUTION OF MUNICIPAL WATER SUPPLY SOURCES: Issues of Analysis and Control Proceedings of an 1 IASA Task Force Meeting, 10-12 February 1981 K.-H. Zwirnmann, Editor
CP-8245 MODELING AGRICULTURAL-ENVIRONMENTAL PROCESSES IN CROP PRODUCTION Proceedings of an IIASA Task Force Meeting, 2-4 June 1980 G. Golubev and I. Shvytov, Editors
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MODELING AGRICULTURAL- ENVIRONMENTAL PROCESSES
IN CROP PRODUCTION
Proceedings of a 2 - 4 June 1980 Task Force Meeting
G. Golubev and I. Shvytov, Editors
INTERNATIONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS Laxenburg, Austria
1982
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lnternational Standard Book Number 3-7045-0033-X
The lnternational lnstitute for Applied Systems Analysis i s a nongovernmental, multidis- ciplinary, international research institute whose goal is to bring together scientists from around the world to work on problems of common interest.
IlASA pursues this goal, not only by pursuing a research program a t the lnstitute in col- laboration with many other institutions, but also by holding a wide variety of scientific and technical meetings. Often the interest in these meetings extends beyond the concerns of the participants, and proceedings are issued. Carefully edited and reviewed proceedings occasionally appear in the lnternational Series on Applied Systems Analysis (published by John Wiley and Sons Limited, Chichester, England); edited proceedings appear in the IIASA Proceedings Series (published by Pergamon Press Limited, Oxford, England).
When relatively quick publication is desired, unedited and only lightly reviewed proceed- ings reproduced from manuscripts provided by the authors of the papers appear in this new IlASA Collaborative Proceedings Series. Volumes in this series are available from the lnstitute a t moderate cost.
The views or opinions expressed in this volume do not necessarily represent those of the lnstitute or the National Member Organizations that support it.
Copyright @ 1982 lnternational lnstitute for Applied Systems Analysis A-2361 Laxenburg, Austria
All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher.
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PREFACE
The International Institute for Applied Systems Analysis began its work on modeling the environmental impacts of crop pro- duction in 1978 . The objective was to clarify what was known about applying mathematical models to the assessment of the envi- ronmental impacts of crop production, and the focus was on the environmental impacts of dry farming. The most important field- scale environmental effects of dry farming--which can potentially lead to such large-scale environmental impacts as eutrophication, water pollution, and cropland losses--were identified as soil erosion, nitrogen leaching, and phosphorus and pesticide losses.
The work in this field was begun by considering the hydro- logical and major natural biogeochemical processes, which, through a chain of events, cause these environmental effects. It became apparent that there are many mathematical models describing single processes such as water percolation, runoff, nitrogen mineraliza- tion, nitrification, denitrification, phosphorus precipitation and adsorption, evapotranspiration, nutrient uptake, pesticide degradation, etc. Moreover, a few complex models (CREAMS, ARY, ACTMO, etc.) have been developed. One of these complex models, CREAMS, was transferred to IIASA and used in a number of the In- stitute's National Member Organization countries.
Our experience in collecting and using various mathematical models convinced us not only of the necessity of refining collab- orative efforts in this field, but also of the need to discuss some methodological questions. We pursued these matters at two meetings: a planning workshop in June 1978 and an April 1979 conference on environmental management of agricultural watersheds. A third meeting on modeling agricultural-environmental processes in crop production--which is reported in these proceedings--focused on:
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d i s c u s s i o n s of t h e s t a t e o f t h e a r t of deve lop ing mathe- m a t i c a l models f o r environmental p r o c e s s e s i n c r o p pro- d u c t i o n ; improving t h e g u i d e l i n e s f o r comple t ing t h e IIASA r e s e a r c h on mathematical modeling o f t h e env i ronmenta l e f f e c t s o f a g r i c u l t u r e ; and r e f i n i n g t h e I n s t i t u t e ' s c o l l a b o r a t i v e work w i t h o t h e r o r g a n i z a t i o n s .
Th is volume p r e s e n t s t h e p a p e r s p r e s e n t e d a t t h i s t h i r d meet- i n g i n t h e form i n which t h e y w e r e r e c e i v e d from t h e i r a u t h o r s . The paper on CREAMS i s m i s s i n g , a s it w i l l be t r e a t e d i n d e t a i l e l sewhere .
The volume c l o s e s with a s h o r t r ev iew o f t h e main p o i n t s b rought o u t a t t h e meet ing.
The e d i t o r s would l i k e t o e x p r e s s t h e i r t h a n k s t o a l l t h o s e who c o n t r i b u t e d t o t h i s Task Force Meeting, whether by formal p r e s e n t a t i o n s , o r through p a r t i c i p a t i o n i n t h e d i s c u s s i o n s . The e d i t o r s a r e g r a t e f u l t o t h e chairmen and r a p p o r t e u r s o f t h e ses- s i o n s (see Appendix) , whose r e p o r t s w e r e used t o p r e p a r e t h e f i n a l paper . W e would a l s o l i k e t o e x p r e s s o u r a p p r e c i a t i o n t o Pamela H o t t e n s t e i n and C a r o l i n e Goodchild f o r t h e i r t e c h n i c a l and o r g a n i z a t i o n a l h e l p .
GENADY N . GOLUBEV IGOR A . SHVYTOV E d i t o r s
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CONTENTS
The Modelling of Environmental Impacts of Crop Production Douglas A . Ha i th
A Field-Scale Model for Nonpoint Source Pollution Evaluation K. C. K n i s e l
Review of Simulation Models for Nitrogen Behaviour in Soil in Relation to Plant Uptake and Emission Johannes A . van Veen and M a r t i n J . F r i s s e l
A Critical Evaluation of a Hydrological Layer Model for Forecasting the Redistribution of Unadsorbed .Anions in Cultivated Soils Ian C. Burns
Modelling Nitrate Movement in Profiles That Contain Soil, Heavy Clay and Chalk Thomas M . A d d i s c o t t
Retention, Transformations, and Transport of Pesticides in Soil-Water Systems: Model Development and Evaluation P.S.C. Rao and R . Z . J e s s u p
State of Art of Modeling of the Water Balance Processes in the Agricultural Field and Watershed J a r o s i a v a a l e k
Model of Surface Runoff From Slope M i l o s Holy
v i i
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A Hierarchical Approach to Agricultural Production Modeling H . van Keulen and C.T. d e W i t
Deterministic Models for the Ecologic Simulation of Crop Agricultural Environments T. C lark Lyons
The Mathematical Model for the Determination of the Optimal Crop Production Structures as Affected by Agroecslogical Conditions Z s o l t Harnos
Statistical Evaluation of Experts' Estimates I s t v a n V a l y i
Relations between the Agro-Ecological Potential and Soil 214 K . R a j k a i
A Framework for the Study of the Dynamics of Agricultural 227 Systems B . R. T r e n b a t h
Overview of the Ideeting Cenady Co lubev and I g o r S h v y t o v
APPENDIXES Appendix A: Agenda of the Task Force Meeting Appendix B: List of Participants Appendix C: List of Chairmen and Rapporteurs
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THE MODELLING OF ENVIRONMENTAL IMPACTS OF CROP PRODUCTION
Douglas A . Ha i th Department o f A g r i c u l t u r a l Engineer ing
Cornel 1 U n i v e r s i t y I t h a c a , N . Y . USA 14853
INTRODUCTION
A g r i c u l t u r a l management p o l i c i e s based on i n t e n s i v e u s e o f l a n d ,
water and chemicals have g r e a t l y i n c r e a s e d t h e e f f i c i e n c y o f c rop pro-
duc t ion i n t h e t w e n t i e t h cen tu ry . The p o l i c i e s have a l s o produced d i s -
t r i b u t i o n s o f chemical r e s i d u a l s i n t h e environment which may be hazardous
t o human h e a l t h and n a t u r a l ecosystems. The environmenta l p o l l u t i o n
problems a s s o c i a t e d wi th a g r i c u l t u r a l product ion a r e ext remely d i f f i c u l t
t o r e s o l v e . The e f f e c t s o f a g r i c u l t u r a l p r a c t i c e s on chemical l o s s e s
from c rop land and t h e u l t i m a t e f a t e o f chemica l s once t h e y l e a v e c rop -
land a r e poor ly unders tood. Even i f t h i s were n o t t h e c a s e , t h e e f f i -
c i ency o f food and f i b e r product ion i s s o c r i t i c a l t o t h e w o r l d ' s economy
t h a t p o l i c y makers a r e r e l u c t a n t t o impose p o l l u t i o n c o n t r o l p r a c t i c e s
which may lower product ion l e v e l s . The environmenta l impacts o f c r o p
p roduc t ion can be managed r a t i o n a l l y o n l y i f two c r i t i c a l i n fo rma t ion
needs a r e met. F i r s t we must be a b l e t o q u a n t i t a t i v e l y a s s e s s t h e environ-
mental damages a s s o c i a t e d with crop p roduc t ion p r a c t i c e s . Second, t h e
l i k e l y e f f e c t s o f p o l l u t i o n c o n t r o l p r a c t i c e s on c r o p p roduc t ion l e v e l s
and farm income must be determined and p r a c t i c e s i d e n t i f i e d which w i l l
have minimal n e g a t i v e impact on food p roduc t ion . Perhaps t h e most
c r i t i c a l c h a l l e n g e f a c i n g a g r i c u l t u r a l and environmenta l s c i e n t i s t s
i n t h e remainder o f t h i s c e n t u r y is t o p rov ide t h e i n fo rma t ion needed
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t o develop a g r i c u l t u r a l management p o l i c i e s which f eed t h e hungry without
poisoning t h e poor (and t h e a f f l u e n t ) .
Mathematical models have become necessa ry t o o l s f o r t h e s tudy o f
a g r i c u l t u r a l pollution, mainly because p a s t empi r i ca l expe r i ence has
provided l i t t l e o f t h e q u a n t i t a t i v e informat ion needed. A v a r i e t y o f
modelling approaches have evolved i n t h e l a s t t e n y e a r s , and t h i s paper
i s a b r i e f a t tempt t o c a t e g o r i z e models r e l a t e d t o water q u a l i t y and t o
g ive some examples o f models which have been developed a t Corne l l Un ive r s i ty
over t h e p a s t s e v e r a l yea r s .
CATEGORIES OF MODELS FOR ANALYZING AGRICULTllRAL NONPOINT SOURCE POLLUTION
Water q u a l i t y problems caused by c r o p product ion a r e t y p i c a l l y
a s s o c i a t e d wi th nonpoint source p o l l u t i o n , which i s t h e contaminat ion o f
water bodies by chemicals and sediment conta ined i n d i f f u s e runoff and
p e r c o l a t i o n water f lows from land s u r f a c e s . P rov i s ion o f t h e informat ion
d i scussed i n t h e previous s e c t i o n r e q u i r e s e s t i m a t e s o f p o l l u t a n t l o s s e s
o r l oad ings from cropland t o water bod ies , assessment o f water q u a l i t y
impacts o f p o l l u t a n t l oad ings , and de te rmina t ion of economic e f f e c t s o f
c o n t r o l p r a c t i c e s . The au thor i s f a m i l i a r wi th on ly one model which
a t t empts t o provide a l l of t h i s informat ion (Wineman, etg., 1979).
More t y p i c a l l y models a r e des igned f o r o n l y one o f t h e t h r e e t y p e s o f
ana lyses and can be c l a s s i f i e d a s
1 . Chemical and Sediment Loading Models
2 . Water Qua1 i t y Impact Models
3 . Plannlng and Management Models
Water q u a l i t y models a r e not unique t o nonpoint sources s i n c e they
a r e i n gene ra l des igned t o p r e d i c t t h e response of a water body t o both
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point and nonpoint sources. The l i t e r a t u r e contains hundreds of examples
of such models and they a r e omitted from t h i s discussion. Sediment load-
ing models a r e a l s o omit ted, p a r t l y i n the i n t e r e s t o f b r e v i t y , but a l s o
as a r e f l e c t i o n of t h e f a c t t h a t sediment p e r s e i s seldom a c r i t i c a l
o r manageable water q u a l i t y problem. Rather, sediment i s important mainly
a s a c a r r i e r of chemicals, and sediment loading models a r e i n t e g r a l com-
ponents of many chemical loading models.
Chemical Loading Models
Chemical loading models have been constructed t o p red ic t t h e f o l -
lowing losses from croplands: dissolved and solid-phase n u t r i e n t s ,
s a l t s , and pes t ic ides i n runoff , and dissolved n u t r i e n t s , s a l t s and p e s t i -
c ides i n percolat ion or watershed base flows. The models a r e developed
f o r e i t h e r f i e l d o r watershed s c a l e and f a l l i n t o t h r e e d i s t i n c t groups.
Continuous simulation models a r e t h e most a n a l y t i c a l models and
a r e based on systems of d i f f e r e n t i a l equat ions f o r s o l u t e movement.
Essen t ia l ly a l l of t h e models apply t o groundwater problems, and most
focus on n i t r a t e o r phosphate movement. Examples a r e given by Davidson
e t a l . (1978). Czyzewski g. (1980), van Veen (1977) and Shah g. -- (1975). Continuous simulation models requ i re c a l i b r a t i o n and have seen
l imited f i e l d t e s t i n g .
Discrete simulation models solve chemical t ranspor t problems by
r e p e t i t i v e mass balance ca lcu la t ions f o r d i s c r e t e time s teps and a r e
general ly more operat ional than t h e continuous models. Discrete simula-
t ion models a r e o f ten based on previously developed hydrologic and sed i -
ment t ranspor t models. Examples include models f o r ni t rogen i n percolat ion
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by Addiscot t (1977) and Saxton st. (1977), watershed models f o r
n u t r i e n t s by Williams and Hann (1978) and Tseng (1979), and f i e l d -
s c a l e models f o r n u t r i e n t s and p e s t i c i d e s developed by Donigian st.
(1977) and Knisel 5 &. (1979).
A f i n a l group o f models a r e f u n c t i o n a l models which do not a t tempt
t o s imula t e t h e fundamental p rocesses which a f f e c t chemical l o s s e s .
Rather t h e y a r e s i m p l e ' p r e d i c t i v e equa t ions , o f t e n e m p i r i c a l , which
can p rov ide rough e s t i m a t e s o f t h e q u a n t i t i e s o f chemical l o s s e s .
Funct ional models a r e des igned t o p rov ide informat ion r a p i d l y wi th
r e l a t i v e l y l i t t l e d a t a i n p u t . Examples a r e t h e n i t r a t e l each ing model
o f Burns (1974, 1975) and t h e gene ra l " loading func t ions" proposed by
McElroy 5 s. (1976).
Planning and Management Models
Planning and management models a r e i n p r i n c i p l e t h e most u se fu l
models f o r p o l i c y making s i n c e they determine economic impacts o f
p o t e n t i a l p o l l u t i o n c o n t r o l p r a c t i c e s . In theo ry , t h e models can p rov ide
e s t i m a t e s o f t r a d e - o f f s between a g r i c u l t u r a l product ion and environmental
q u a l i t y o b j e c t i v e s . However, t h e economic components o f t h e models a r e
much b e t t e r developed than components f o r p r e d i c t i o n o f p o l l u t i o n , which
a r e commonly l i m i t e d t o sediment l o s s e s e s t ima ted by t h e Universa l S o i l
Loss Equation. A l l p lanning and management models a r e based on budget-
t i n g approaches and a r e u s u a l l y solved by l i n e a r programming.
Three d i f f e r e n t s c a l e s o f models a r e appa ren t . Regional impact
models a r e used f o r macro-scale s t u d i e s o f farm and consumer income
[Heady and Vocke, 1979; Taylor and Frohberg, 1977). Watershed planning
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models such as those of Onishi and Swanson (1974). Casler and Jacobs
(1975) and Scherer (1977) are applied to specific water quality problems
and evaluate impacts of management practices, subsidies and taxes on
pollution and farm income. Farm management models estimate the effects
of pollution control on the activities of individual farmers. Examples
are given by Smith s g . (1979), Coote &s. (1976) and Miller and Gill (1976).
EXAMPLES
The remainder of this paper is a description of four operational
models which have been developed at Cornell University for the analysis
of agricultural nonpoint source pollution. Using the terminology of
the previous section, three of the models are chemical loading models,
including two discrete simulation models and one functional model. The
fourth model is a farm management model. The purpose of the examples
is to illustrate some general characteristics of models used to evaluate
environmental impacts of crop production and also to provide a progress
report on a modelling research program which the author has been involved
in for several years. The discussion is limited to the general structures
of the models and some results of their applications. Mathematical details
are provided in the cited references.
Watershed Loading Functions
The estimation of pollutant export in streamflow from large agri-
cultural watersheds is difficult. The basic modelling problem is how
to recognize the great spatial variability of a watershed's land surface
without resorting to a model which is so complex that data and computer
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requirements render it i m p r a c t i c a l . The approach used i n t h e p resen t
case was t h e a p p l i c a t i o n o f a f u n c t i o n a l model t o each of a wa te r shed ' s
s p a t i a l u n i t s and then aggrega t ing r e s u l t s from a l l u n i t s i n t h e water-
shed. The model i s desc r ibed i n Hai th and Tubbs (1980). E a r l i e r v e r -
s i o n s a r e i n Hai th and Tubbs (1979) and Hai th and Dougherty (1976).
The s t r u c t u r e o f t h e loading f u n c t i o n s i s shown i n Figure 1 . Unit
source a r e a s o r f i e l d s which a r e homogeneous wi th r e s p e c t t o s o i l s and
c rops a r e i d e n t i f i e d us ing a random sampling procedure . Sepa ra t e e s t i -
mates a r e made f o r d i s so lved and so l id -phase l o s s e s o f t h e chemical o f
i n t e r e s t . Dissolved chemicals a r e c a r r i e d i n runof f a s p r e d i c t e d by t h e
U.S. S o i l Conservat ion S e r v i c e ' s Curve Number Equation (CNE). Snowmelt
runoff i s based on a degree-day melt equa t ion and t h e CNE. So l id -phase
chemicals move wi th sediment l o s s e s a s p r e d i c t e d by t h e Universa l S o i l
Loss Equation (USLE). Both t h e CNE and USLE a r e a p p l i e d on an event
b a s i s and hence p r e d i c t i o n s can be made f o r any t ime pe r iod o f i n t e r e s t .
Sol id-phase chemical concen t ra t ions a r e based on c o n c e n t r a t i o n s i n t h e
s o i l and d i s so lved concen t ra t ions a r e e x t r a p o l a t e d from f i e l d e x p e r i -
mental s t u d i e s . Concentra t ions a r e m u l t i p l i e d by runoff o r s o i l l o s s
t o produce edge -o f - f i c ld chemical l oad ings . These load ings a r e con-
ve r t ed t o watershed expor t by m u l t i p l i c a t i o n by t r a n s p o r t and a t t e n u a t i o n
f a c t o r s . The f a c t o r s a r e assumed t o be equal t o one f o r d i s s o l v e d loadings
Sol id-phase a t t e n u a t i o n f a c t o r s a r e g iven by t h e wa te r shed ' s sediment
d e l i v e r y r a t i o .
The loading func t ions were used t o e s t i m a t e n i t rogen ( N ) and phos-
phorus ( P ) l o s s e s from t h e 391 km2 Pequea Creek watershed i n Pennsylvania .
Water q u a l i t y sampling d a t a provided measurements o f d i s s o l v e d and
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so l id -phase N and t o t a l P i n runof f from t h e watershed f o r a 16-mo
pe r iod i n 1977 and 1978. P r e d i c t i o n s a r e compared wi th o b s e r v a t i o n s
i n Table 1 . Nitrogen p r e d i c t i o n s were r e l a t i v e l y a c c u r a t e , but t o t a l
P p r e d i c t i o n s (d i s so lved & so l id -phase ) were l e s s so . S ince d a t a was
not a v a i l a b l e t o t e s t t h e model 's p r e d i c t i v e a b i l i t y f o r t h e d i s s o l v e d
and so l id -phase P f r a c t i o n s , f u r t h e r t e s t i n g w i l l be necessa ry .
P e s t i c i d e Runoff Model
T h i s model s imula t e s t h e behavior o f p e s t i c i d e s i n t h e s o i l and
e s t i m a t e s d i s s o l v e d and so l id -phase l o s s e s i n runof f . The model i s
desc r ibed i n Hai th and Tubbs (1980) and Hai th (1980).
The gene ra l components o f t h e model a r e shown i n Figure 2. Runoff
l o s s e s a r e based on t h e t o t a l p e s t i c i d e i n t h e s u r f a c e cen t ime te r o f
s o i l . Th i s q u a n t i t y i s assumed t o decay e x p o n e n t i a l l y wi th t ime and
when a p r e c i p i t a t i o n event occur s , i s p a r t i t i o n e d i n t o adsorbed and
d i s s o l v e d c o n s t i t u e n t s based on a s i n g l e parameter l i n e a r adso rp t ion
isotherm. Runoff l o s s e s a r e p red ic t ed by t h e CNE and s o i l l o s s e s a r e
determined by an event-based v e r s i o n o f t h e USLE. The model was t e s t e d
us ing d a t a f o r a t r a z i n e l o s s e s from two small catchments (PZ and P4)
i n Watk insv i l l e , Geoergia. P r e d i c t i o n s a r e compared wi th obse rva t ions
f o r 17 major p r e c i p i t a t i o n even t s i n 1973-1975 i n Table 2. The model 's
accuracy c l e a r l y v a r i e s among storms but t h e magnitudes o f measured and
p red ic t ed t o t a l l o s s e s f o r t h e t h r e e - y e a r pe r iod compare f avorab ly .
C o r r e l a t i o n c o e f f i c i e n t s between measured and p r e d i c t e d a t r a z i n e l o s s e s
f o r t h e 17 even t s a r e 0 .95, 0.92 and 0.94 f o r so l id -phase , d i s s o l v e d and
t o t a l m n o f f l o s s e s .
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Predicted by
Loading Functions
Measured in
Direct Runoff
Dissolved Solid-Phase Total Nitrogen Nitrogen Phosphorus ------------------ (103 kg) ------------------
Table 1 . Comparison o f Predicted and Observed Nutrient Export from Pequea
Creek, Feb., 1977 - May, 1978.
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