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Related Experiment Video

Updated: May 4, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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A robust simulation-optimization modeling system for effluent trading--a case study of nonpoint source pollution

J L Zhang1, Y P Li, G H Huang

  • 1MOE Key Laboratory of Regional Energy Systems Optimization, Sino-Canada Resources and Environmental Research Academy, North China Electric Power University, Beijing, 102206, China, zjunlong0801@163.com.

Environmental Science and Pollution Research International
|December 25, 2013
PubMed
Summary
This summary is machine-generated.

A new robust simulation-optimization modeling system (RSOMS) supports agricultural nonpoint source (NPS) effluent trading. This trading scheme effectively reduces total nitrogen (TN) and total phosphorus (TP) pollution, increasing system benefits.

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Area of Science:

  • Environmental Engineering
  • Water Resource Management
  • Agricultural Science

Background:

  • Agricultural nonpoint source (NPS) pollution significantly impacts water quality.
  • Effluent trading is a market-based approach to mitigate pollution.
  • Existing models often struggle with uncertainty and risk in trading schemes.

Purpose of the Study:

  • To develop a robust simulation-optimization modeling system (RSOMS) for agricultural NPS effluent trading planning.
  • To enhance effluent trading by integrating simulation and optimization models.
  • To effectively manage uncertainties and risks associated with effluent trading.

Main Methods:

  • Development of a robust simulation-optimization modeling system (RSOMS).
  • Incorporation of a distributed simulation model and an optimization model.
  • Handling of uncertainties (probability density functions, interval values) and risk in high-variability situations.

Main Results:

  • The RSOMS successfully supports agricultural NPS effluent trading planning.
  • The effluent trading scheme significantly mitigates NPS pollution in the Xiangxi watershed.
  • Reductions of [213.7, 288.8] × 10(3) kg TN and [11.8, 30.2] × 10(3) kg TP emissions were achieved.
  • The trading scheme resulted in increased system benefits compared to a non-trading policy.

Conclusions:

  • Effluent trading is an effective strategy for mitigating agricultural NPS pollution.
  • The RSOMS provides a valuable tool for water quality management and effluent trading scheme design.
  • The study highlights the importance of balancing system benefits, reliability, and risk aversion in trading programs.