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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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River water quality management using an integrated multi-objective optimization-simulation approach based on

Omid Babamiri1, Yagob Dinpashoh2

  • 1Department of Water Engineering, University of Tabriz, Tabriz, Iran. babamiri@tabrizu.ac.ir.

Environmental Science and Pollution Research International
|December 25, 2023
PubMed
Summary

This study uses bankruptcy theory to fairly allocate river pollution capacity among polluters. The CEL scenario proved most effective for the Dez River, balancing treatment costs and biochemical oxygen demand (BOD) violations.

Keywords:
BankruptcyConflict resolutionGame theoryMOICAQUAL2KwWater quality

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Area of Science:

  • Environmental Engineering
  • Water Resource Management
  • Operations Research

Background:

  • Rivers possess a natural self-purification capacity, which is the acceptance capacity for pollution.
  • Fairly allocating this capacity among pollutant sources is crucial for effective water quality management.
  • Bankruptcy theory offers a framework for equitable resource distribution in such scenarios.

Purpose of the Study:

  • To apply bankruptcy theory for fair allocation of river self-purification capacity.
  • To integrate water quality simulation with optimization algorithms to evaluate different allocation rules.
  • To minimize polluter wastewater treatment costs while preventing biochemical oxygen demand (BOD) standard violations.

Main Methods:

  • Utilized bankruptcy rules (CAE, CEL, P, TAL) linked to the QULA2Kw water quality model.
  • Employed a multi-objective imperialist competition algorithm (MOICA) for optimization.
  • Evaluated scenarios based on reducing treatment costs and BOD violations.

Main Results:

  • The CEL scenario achieved the best compromise between treatment costs and BOD standard compliance for the Dez River.
  • For maximum treatment cost scenarios, the CEA rule was favorable, showing lower costs and higher discharge within acceptable limits.
  • The study demonstrates the practical application of bankruptcy theory in river pollution management.

Conclusions:

  • Bankruptcy theory provides a robust framework for equitable pollution load allocation.
  • The CEL rule is recommended for balancing environmental and economic objectives in river management.
  • Optimization algorithms coupled with water quality models enhance decision-making for sustainable water resource utilization.