Watershed optimization of best management practices using AnnAGNPS and a genetic algorithm

Srivastava, Puneet; Hamlett, J. M.; Robillard, Paul; Day, R. L.

doi:10.1029/2001wr000365

Cited by 149 publications

(104 citation statements)

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“…In general, EAs belong to a class of stochastic optimization methods and are well suited for approximating solutions to complex combinatorial problems (see, e.g., Deb 2001;Forrest 1993). Optimization methods falling under the broader EA classification have been successfully applied to integrated watershed modeling systems (Srivastava et al 2002;Veith et al 2003;Bekele and Nicklow 2005;Lant et al 2005;Muleta and Nicklow 2005;Arabi et al 2006;Whittaker et al 2007;Jha et al forthcoming;Rabotyagov et al 2010). To our knowledge, this is the first study to investigate the impact of land-use changes exogenous to optimization on the efficient frontier of tradeoffs between multiple water quality objectives (N and P) and the cost of conservation investments.…”

Section: Methodsmentioning

confidence: 99%

Impact of crop rotations on optimal selection of conservation practices for water quality protection

Rabotyagov¹,

Jha²,

Campbell³

2010

Journal of Soil and Water Conservation

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This research integrates modern multiobjective optimization tools, water quality modeling capability, and data on costs of implementing conservation practices to develop a tradeoff frontier of cost-efficient nonpoint source pollution reduction solutions, which can be used to derive the watershed-level pollution abatement cost curve. Farmers' decisions, both on the intensive and the extensive margin, are likely to affect the shape of the tradeoff frontier as well as the mix of conservation practices selected for achievement of given nutrient reduction goals. In this paper, we wish to explore the consequences of changes in the cropping practices on the intensive margin and changes in the amount of cropland on the extensive margin on the baseline water quality as well as the shape of the tradeoff frontier and the mix of conservation practices. An empirical application focuses on a typical Midwestern agricultural watershed, Squaw Creek watershed in central Iowa. Using detailed crop production budgets, we follow Secchi and Babcock (2007) to demonstrate an alternative land-use scenario, which could arise from recently observed changes in crop prices and production costs. We find that the change in cropping practices effects direct changes in the shape of the tradeoff frontier and the mix and location of conservation practices selected to achieve particular nutrient loading reductions. In particular, we find that a potential shift to more corn (Zea mays L.)-intensive crop rotations and an increase in the amount of cropland in the watershed may lead to increased loadings of both nitrate and phosphorus and that additional conservation investments are required to maintain water quality gains achieved under the baseline (historic) cropping practices. In terms of conservation practices selected, the optimal placement of terraces appears robust to the changes in crop rotations and amount of cropland in the alternative land-use scenario.

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Section: Methodsmentioning

confidence: 99%

Impact of crop rotations on optimal selection of conservation practices for water quality protection

Rabotyagov¹,

Jha²,

Campbell³

2010

Journal of Soil and Water Conservation

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“…또한 시험포나 경작지에서 평가된 최적관리기법에 의한 비점오염원의 저감 효과는 다른 지점이나 유역에 적 용하기 위해서나 혹은 유역 단위에서의 저감 효과를 분석 하기 위해서는 최적관리기법에 의한 비점오염원의 정량화 가 필요하다 (Jang et al, 2010;Lee et al, 2014). 볏짚에 의한 지표피복 등과 같은 최적관리기법에 대한 평가를 위해서는 모니터링뿐만 아니라, 수문 모형에 의한 평가도 필요하다 (Bishop et al, 2005;Jang et al, 2010;Kim et al, 2006;Lee et al, 2014;Lee et al, 2012;Lee et al, 2000;Maringanti et al, 2009;Maringanti et al, 2008;Park et al, 2014;Srivastava et al, 2002). 2 )가 0.91로 나타났 으며, USLE P 인자를 추정하기 위한 회귀식(식 (1))과 수 문 모형을 통한 볏짚매트에 의한 유사량 저감 모의 방법을 제안한 바 있다 (Jang et al, 2010 (Ahn et al, 2012;Park et al, 2013;Park et al, 2008).…”

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Evaluation of Modeling Approach for Suspended Sediment Yield Reduction by Surface Cover Material using Rice Straw at Upland Field

Park¹,

Kum²,

Lee³

et al. 2016

Journal of Korean Society on Water Environment

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“…Economic formulation has been only limited to off-site benefits [Arabi et al, 2006] and implementation cost of conservation practices [Veith et al, 2004;Arabi et al, 2006;Maringanti et al, 2009]. In addition, fewer efforts were taken to improve convergence of the optimization methods [Srivastava, 2002]. The primary goal of this study is to present an integrated simulation-optimization framework to identify the set of optimal types and locations of NPS pollution control practices at the watershed scale.…”

Section: Introductionmentioning

confidence: 99%

A mixed discrete-continuous variable multiobjective genetic algorithm for targeted implementation of nonpoint source pollution control practices

et al. 2013

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[1] Implementation of nonpoint source (NPS) pollution control strategies at the watershed scale hinges on abating pollutant movement from the landscape to water bodies at minimum cost. This paper presents an integrated simulation-optimization approach for targeted implementation of agricultural conservation practices at the watershed scale. A multiobjective genetic algorithm (NSGA-II) with mixed discrete-continuous decision variables was coupled with a distributed watershed model, Soil and Water Assessment Tool (SWAT), to identify optimal types and locations of conservation practices for nutrient and pesticide control at the watershed scale. Previous optimization studies have used binary representation of nonpoint source pollution controls, even though many could be better characterized as continuous variables. In this study, a novel discrete-continuous decision variable, also known as mixed-variable, representation was used to enhance the versatility of the approach by evaluating more options during the search process. Application of the proposed framework in the Eagle Creek Watershed, Indiana, indicated that the optimal suite of conservation practices from the mixed-variable NSGA-II was more effective in meeting water quality targets at lower costs than the solution from binary-variable optimization. However, the mixed-variable approach was considerably more computationally demanding for assessing tradeoffs between environmental and economic factors. A method for hybridization of binary and mixed-variable NSGA-II methods in the context of nonpoint source pollution control practices was developed to enhance the computational efficiency of the optimization procedure. As a result, the number of model simulations required for convergence to the Pareto-optimal solutions was reduced by 96%. The conceptual complexity and computational requirements of optimization-based approaches are impediments to their wider application for targeted implementation of NPS pollution control strategies. The methods and finding of this study address these issues and could result in a more effective implementation of management strategies at the watershed scale. Hoag, and B. A. Engel (2013), A mixed discrete-continuous variable multiobjective genetic algorithm for targeted implementation of nonpoint source pollution control practices, Water Resour. Res., 49,[8344][8345][8346][8347][8348][8349][8350][8351][8352][8353][8354][8355][8356]

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Watershed optimization of best management practices using AnnAGNPS and a genetic algorithm

Cited by 149 publications

References 4 publications

Impact of crop rotations on optimal selection of conservation practices for water quality protection

Impact of crop rotations on optimal selection of conservation practices for water quality protection

Evaluation of Modeling Approach for Suspended Sediment Yield Reduction by Surface Cover Material using Rice Straw at Upland Field

A mixed discrete-continuous variable multiobjective genetic algorithm for targeted implementation of nonpoint source pollution control practices

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