Transformation of water resource management: a case study of the South-to-North Water Diversion project

2017 ◽  
Vol 163 ◽  
pp. 136-145 ◽  
Author(s):  
Zhen-Yu Zhao ◽  
Jian Zuo ◽  
George Zillante
2013 ◽  
Vol 12 (11) ◽  
pp. 2239-2247 ◽  
Author(s):  
Guomin Li ◽  
Haizhen Xu ◽  
Ming Li ◽  
Shouquan Zhang ◽  
Yanhui Dong ◽  
...  

Water ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 26
Author(s):  
Xinfeng Xiang ◽  
Lingzhong Kong ◽  
Huaiwei Sun ◽  
Xiaohui Lei ◽  
Ji Liang ◽  
...  

This paper addresses recent developments in the application of water Resource dispatching systems (WRDSs) in China. Through a survey of watershed managers and a literature analysis, it was found that water diversion projects should be the top priority of water resource management by considering the recovery construction of water diversion projects. Case studies of WRDSs in the South-to-North Water Diversion (SNWD) and Pearl River Basin are discussed in this article. The results show that total water consumption management (WCM), water quality monitoring and management (WQMM), minimum discharge flow management (MDFM), and water dispatch management (WDM) modules should be considered in WRDSs. Finally, strategies and needs for resolving water resource management problems are discussed, along with other applications of WRDSs in China.


Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 671
Author(s):  
Xiaoying Zhou ◽  
Feier Wang ◽  
Kuan Huang ◽  
Huichun Zhang ◽  
Jie Yu ◽  
...  

Predicting and allocating water resources have become important tasks in water resource management. System dynamics and optimal planning models are widely applied to solve individual problems, but are seldom combined in studies. In this work, we developed a framework involving a system dynamics-multiple objective optimization (SD-MOO) model, which integrated the functions of simulation, policy control, and water allocation, and applied it to a case study of water management in Jiaxing, China to demonstrate the modeling. The predicted results of the case study showed that water shortage would not occur at a high-inflow level during 2018–2035 but would appear at mid- and low-inflow levels in 2025 and 2022, respectively. After we made dynamic adjustments to water use efficiency, economic growth, population growth, and water resource utilization, the predicted water shortage rates decreased by approximately 69–70% at the mid- and low-inflow levels in 2025 and 2035 compared to the scenarios without any adjustment strategies. Water allocation schemes obtained from the “prediction + dynamic regulation + optimization” framework were competitive in terms of social, economic and environmental benefits and flexibly satisfied the water demands. The case study demonstrated that the SD-MOO model framework could be an effective tool in achieving sustainable water resource management.


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