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Related Experiment Video

Updated: Mar 22, 2026

Wastewater Irrigation Impacts on Soil Hydraulic Conductivity: Coupled Field Sampling and Laboratory Determination of Saturated Hydraulic Conductivity
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Waste load equilibrium allocation: a soft path for coping with deteriorating water systems.

Liming Yao1,2, Jiuping Xu3,4, Mengxiang Zhang1,2

  • 1State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, 610064, People's Republic of China.

Environmental Science and Pollution Research International
|April 16, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a novel bi-level optimization model for equitable waste load allocation in river basins. The model balances regional equity, economic benefits, and decision-maker strategies to improve water quality.

Keywords:
Bi-level multi-objective optimization modelSoft pathStackelberg-Nash-Cournot equilibriumWater quality

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Area of Science:

  • Environmental Science
  • Water Resource Management
  • Operations Research

Background:

  • Improving river water quality often involves waste load allocation, an alternative to technology-based approaches.
  • River basins face challenges in balancing regional equity, economic benefits, and decision-maker strategies for waste management.

Purpose of the Study:

  • To propose a bi-level multi-objective optimization model for optimal waste load allocation in river basins.
  • To incorporate regional equity, subarea economic benefits, and Stackelberg-Nash-Cournot equilibrium into the allocation model.
  • To develop a novel Gini coefficient for measuring waste load allocation equity.

Main Methods:

  • Development of a bi-level multi-objective optimization model.
  • Definition of a new Gini coefficient considering economic level and wastewater quantity for equity measurement.
  • Application and validation of the model using a case study on the Tuojiang River.

Main Results:

  • The proposed model effectively allocates waste loads while considering multiple objectives.
  • The novel Gini coefficient provides a robust measure of allocation equity.
  • The Tuojiang River case study demonstrates the model's practical applicability and effectiveness.

Conclusions:

  • The bi-level optimization model offers an effective framework for sustainable river basin waste load allocation.
  • The model aids decision-makers in managing deteriorating water systems by balancing competing interests.
  • Equitable and economically beneficial waste load allocation strategies are crucial for water quality improvement.