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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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A bi-level multiobjective optimization model for waste load allocation in rivers.

Xuan Zhang1, Jungang Luo2, Jiancang Xie1

  • 1State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi'an University of Technology, Xi'an, 710048, Shaanxi, China.

Environmental Science and Pollution Research International
|December 18, 2019
PubMed
Summary

This study introduces a bi-level multiobjective allocation model to address waste load allocation (WLA) challenges under environmental protection tax laws. The model ensures fairness and efficiency across river basin management levels.

Keywords:
Bi-level modelEfficiency and fairnessEnvironmental protection taxMultiobjectiveWaste load allocationWei River

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Area of Science:

  • Environmental science
  • Water resource management
  • Environmental economics

Background:

  • Existing waste load allocation (WLA) models often fail to integrate fairness and efficiency principles across river basin management levels.
  • The implementation of environmental protection tax laws introduces complexities to traditional WLA approaches.
  • Effective WLA is crucial for sustainable river basin management and pollution control.

Purpose of the Study:

  • To propose a novel bi-level multiobjective allocation model for waste load allocation (WLA) that incorporates fairness and efficiency under environmental protection tax laws.
  • To address the limitations of existing WLA models in multi-level river basin management.
  • To provide a decision-making framework that accounts for both environmental and economic objectives.

Main Methods:

  • Development of a bi-level multiobjective allocation model with distinct upper and lower-level objectives.
  • Upper-level objectives: minimizing the environmental Gini coefficient and unit pollutant emission cost, considering environmental tax impacts.
  • Lower-level objectives: maximizing industrial output value and minimizing unevenness in reduction rates.

Main Results:

  • The proposed bi-level multiobjective allocation model effectively solves the WLA problem under environmental protection tax law.
  • Application to the Wei River basin demonstrated the model's practical utility.
  • The model successfully balances fairness and efficiency principles in load distribution across different management levels.

Conclusions:

  • The bi-level multiobjective allocation model offers a superior approach to WLA compared to existing methods, especially under environmental tax regulations.
  • It provides a robust framework for decision-makers to achieve equitable and efficient pollution load distribution in river basins.
  • The model's integrated approach enhances the sustainability of river basin management by considering multiple objectives and management levels.