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Updated: Mar 9, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

An enhanced export coefficient based optimization model for supporting agricultural nonpoint source pollution

Qiangqiang Rong¹, Yanpeng Cai², Bing Chen³

¹State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China.

The Science of the Total Environment

|December 27, 2016

Summary

This study introduces a new model for optimizing agricultural land use to reduce pollution. The developed model helps balance system benefits with pollution mitigation under uncertainty.

Keywords:

Agricultural nonpoint source pollution Export coefficient model Land use adjustment Optimization Uncertainty

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Watershed Planning within a Quantitative Scenario Analysis Framework

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Published on: July 24, 2016

Area of Science:

Environmental Science
Agricultural Science
Operations Research

Background:

Agricultural non-point source (NPS) pollution poses significant environmental challenges.
Optimizing land use for pollution mitigation requires addressing multiple uncertainties.
Existing models may not adequately handle diverse uncertainty types or link policy to economic outcomes.

Purpose of the Study:

To develop a novel optimization model for agricultural land use planning under uncertainty.
To integrate various uncertainty handling techniques within a two-stage stochastic programming framework.
To provide decision support for balancing agricultural benefits and pollution mitigation goals.

Main Methods:

Developed an export coefficient based dual inexact two-stage stochastic credibility constrained programming (ECDITSCCP) model.
Integrated improved export coefficient model (ECM), interval linear programming (ILP), and fuzzy credibility constrained programming (FCCP).
Applied the ECDITSCCP model to identify optimal land use structures in a North China watershed for NPS pollution mitigation.

Main Results:

The ECDITSCCP model successfully identified optimal land use patterns and nutrient discharge schemes.
Achieved maximum agricultural system benefits under a limited discharge permit.
Obtained solutions under multiple credibility levels, offering policy alternatives for balancing benefits and pollution control.

Conclusions:

The ECDITSCCP model effectively addresses multiple uncertainties in agricultural systems.
Demonstrated applicability for land use adjustment in agricultural NPS pollution mitigation.
Provides a valuable tool for decision-makers seeking to balance economic benefits and environmental protection.