ORIGINAL RESEARCH
Research on the Application of Water Resources
Optimal Allocation Model Based on Fuzzy
Optimization Theory
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1
Shandong University of Science and Technology, Shandong, China
2
School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Jiangsu, China
3
School of Business, Nanjing University, Gulou District, Jiangsu, China
Submission date: 2022-02-10
Final revision date: 2022-05-06
Acceptance date: 2022-05-14
Online publication date: 2022-09-12
Publication date: 2022-11-03
Corresponding author
Jingbo Wang
Department of Finance and Economics, Shandong University of Science and Technology, China
Pol. J. Environ. Stud. 2022;31(6):5241-5251
KEYWORDS
TOPICS
ABSTRACT
The government has always emphasized the decisive role of market mechanisms in resource
allocation, but this is the least obvious in the water resources market. To achieve the goal of promoting
the improvement of water supply structure and water using structure and thus improving water
resources efficiency, it is necessary to consider both the efficiency of the same water source among
different users and the cost of water supply between different water sources for the same user. Through
creative use of fuzzy optimization theory to solve the constructed Bi-level programming model, this
paper takes the data of Qingdao from 2011 to 2020 as an example to conduct empirical analysis, and
obtain the allocation of water resources of different water sources and different users under market
competition conditions. At the same time, four scenarios such as changes in water resource fees, changes
in sewage treatment fees, full-cost pricing, and agricultural water saving are set for scenario analysis
and numerical simulation, and the total cost and water price under different scenarios are obtained.
It is conducive to promoting the sustainable development of water resources in Qingdao, and provides
a reference for the formulation of relevant policies on water resources in the future.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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