Study of Water Resource Allocation and Optimization Considering Reclaimed Water in a Typical Chinese City

Lei Fu, Junmin Wang, Shiwu Wang (), Hongxi Peng and Zihan Gui
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Lei Fu: Zhejiang Institute of Hydraulics and Estuary, Hangzhou 310020, China
Junmin Wang: Zhejiang Institute of Hydraulics and Estuary, Hangzhou 310020, China
Shiwu Wang: Zhejiang Institute of Hydraulics and Estuary, Hangzhou 310020, China
Hongxi Peng: Zhejiang Institute of Hydraulics and Estuary, Hangzhou 310020, China
Zihan Gui: Zhejiang Institute of Hydraulics and Estuary, Hangzhou 310020, China

Sustainability, 2023, vol. 15, issue 1, 1-12

Abstract: Reclaimed water is considered to be an important alternative to freshwater to solve the imbalance between the supply and demand of regional water resources; it is also recognized as an effective tool for alleviating ecological problems caused by insufficient water flow. Yiwu City is a typical area experiencing a water shortage in southeastern China because the regional water resources are limited. In this study, the multiple water resource allocations in Yiwu City are optimized, the complex coupling model of multiple water resource allocation is established, and both the economic and ecological effects of multiple water resource allocation in Yiwu City are simulated and analyzed. The simulation results of optimizing the multiple water resource allocations show an efficient way of reclaimed water utilization in this typical Chinese city. In order to ensure the future economic and social development of Yiwu City, it is necessary to introduce reclaimed water into different fields, such as residential water, industrial water, agricultural water, and environmental water. Reclaimed water has also proven to have a high capability for pollutant control and reduction, which is also important to the ecology and environmental protection.

Keywords: reclaimed water; wastewater treatment; multiple water resources; coupled model; optimal allocation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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