Abstract

In the river basin water resources allocation (WRA) problem, an unbalanced WRA poses challenges to water resources management departments. Many studies focus on achieving a lower water shortage rate while ignoring the equilibrium relationship among the socio-economic system, water resources system and eco-environmental system, as well as the equilibrium relationship among different regions. In this study, a water resources allocation model(WRAM) based on equilibrium theory is constructed to achieve the balance between different systems and different spaces in a basin. First, the relationship among the water resources system, socio-economic system and eco-environmental system is described. Then, the regional equilibrium index and system equilibrium index are constructed. Finally, the first model based on equilibrium theory is constructed. The results show that: (1) the Pareto Front reflects the contradictory relationship between economic development and environmental sustainability; (2) with the restructuring of industry and cropping, both economic efficiency and water shortage rates improve; (3) the equilibrium of the basin could also be further improved if water resources utilisation is further improved. Therefore, this study improves the existing WRAM, which can be applied to guide the water resources management of river basin.

Details

Title
Multi-objective optimal water resources allocation in the middle and upper reaches of the Huaihe River Basin (China) based on equilibrium theory
Author
Dong Zengchuan 1 ; Zhang Jitao 2 ; Zhang, Ke 1 ; Wang Xinkui 1 ; Chen, Tian 1 

 Hohai University, College of Hydrology and Water Resources, Nanjing, China (GRID:grid.257065.3) (ISNI:0000 0004 1760 3465) 
 Hohai University, College of Hydrology and Water Resources, Nanjing, China (GRID:grid.257065.3) (ISNI:0000 0004 1760 3465); International Institute for Infrastructural, Hydraulic and Environmental Engineering, Delft, The Netherlands (GRID:grid.420326.1) (ISNI:0000 0004 0624 5658) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2653421875
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.