Study on the Optimal Allocation of Water Resources Based on the Perspective of Water Rights Trading

Author:

Wang Guangyao1,Zhang Xinyue23,Du Lijuan23,Lei Bo23,Xu Zhenghe1

Affiliation:

1. College of Water Conservancy and Environment, University of Jinan, 336 Nanxinzhuang West Road, Shizhong District, Jinan 250022, China

2. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, A-1 Fuxing Road, Haidian District, Beijing 100038, China

3. China Institute of Water Resources and Hydropower Research (IWHR), A-1 Fuxing Road, Haidian District, Beijing 100038, China

Abstract

Water rights trading plays an important role in the market mechanism to optimize the allocation of water resources. This study takes Luxian county of Sichuan province as the research area. Based on the prediction of water supply and demand, this study aims to achieve minimum water shortage and maximum economic benefits for regional water distribution, and introduces a water-saving reward and water price punishment mechanism to construct a two-layer collaborative regulation model of water rights trading for water users. The self-improved elite strategy and cogenetic algorithm (NSGA II-S) are used to solve the optimization model, and the optimal allocation of water resources and water rights trading in different towns in the planning year (2025 and 2030) under different flat and dry scenarios is studied. The results show that there would be an obvious problem in the uneven distribution of water resources between supply and demand in 2025 and 2030. The overall water shortage rates in the flat and dry scenario areas in 2025 are 13.71% and 31.99%, respectively, and the overall water shortage rates in the flat and dry scenario areas in 2030 are 11.55% and 31.94%, respectively. Water rights trading can increase the economic benefit value, with the economic benefit increasing by an average of CNY 614 million in all scenarios, an average increase of 8.68%. The research results could be helpful in alleviating the contradiction between the supply and demand of regional water resources and provide a theoretical basis for optimizing water resource allocation by means of water rights trading in the region.

Funder

Bo Lei

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference31 articles.

1. Tan, L. (2019). Research on the Calculation Model of Binary Water Right Transaction Price Driven by Agricultural Water Saving in Irrigation Area. [Master’s Thesis, Zhengzhou University].

2. The United Nations (2019). World Water Development Report 2015-Water for a Sustainable World, The United Nations Educational, Scientific and Cultural Organization.

3. The United Nations (2019). World Water Development Report 2019-Leaving No One Behind, The United Nations Educational, Scientific and Cultural Organization.

4. Research on the basic pricing model of water rights trading based on the shadow price of buyers and sellers;Wu;Soft Sci.,2019

5. Understanding water rights and water trading systems in China: A systematic framework;Zheng;Water Secur.,2021

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