ArticleEnvironmental science and pollution research international2017
Integrated waste load allocation for river water pollution control under uncertainty: a case study of Tuojiang River, China.
Article in Environmental science and pollution research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Interactive Allocation of Water Pollutant Initial Emission Rights in a Basin under Total Amount Control: A Leader-Follower Hierarchical Decision Model.International journal of environmental research and public health · 2023Article
- Incorporating a constructed wetland system into a water pollution emissions permit system: a case study from the Chaohu watershed, China.Environmental science and pollution research international · 2021Article
- A practical approach for the determination of environmental quality standards-based discharge limits: the case of Tersakan sub-basin of Yeşilırmak River in Turkey.Environmental science and pollution research international · 2021Article
- The ecological state of Boyuk Shor lake of Azerbaijan.Environmental monitoring and assessment · 2020Article
- Leader-follower optimized approach for carbon-economy equilibrium in the municipal solid waste (MSW) incineration industry.Environmental science and pollution research international · 2020Article
- Equilibrium strategy based waste load allocation using simulated annealing optimization algorithm.Environmental monitoring and assessment · 2020Article
- A bi-level multiobjective optimization model for waste load allocation in rivers.Environmental science and pollution research international · 2020Article
- Does Information Asymmetry Impact Sub-Regions' Cooperation of Regional Water Resource Allocation?International journal of environmental research and public health · 2019Article
- A fuzzy multi-stakeholder socio-optimal model for water and waste load allocation.Environmental monitoring and assessment · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
This paper presents a bi-level optimization waste load allocation programming model under a fuzzy random environment to assist integrated river pollution control. Taking account of the leader-follower decision-making in the water function zones framework, the proposed approach examines the decision making feedback relationships and conflict coordination between the river basin authority and the regional Environmental Protection Agency (EPA) based on the Stackelberg-Nash equilibrium strategy. In the pollution control system, the river basin authority, as the leader, allocates equitable emissions rights to different subareas, and the then subarea EPA, as the followers, reallocates the limited resources to various functional zones to minimize pollution costs. This research also considers the uncertainty in the water pollution management, and the uncertain input information is expressed as fuzzy random variables. The proposed methodological approach is then applied to Tuojiang River in China and the bi-level linear programming model solutions are achieved using the Karush-Kuhn-Tucker condition. Based on the waste load allocation scheme results and various scenario analyses and discussion, some operational policies are proposed to assist decision makers (DMs) cope with waste load allocation problem for integrated river pollution control for the overall benefits.
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