Affiliation:
1. 1 State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi'an University of Technology, Xi'an, Shaanxi 710048, China
Abstract
Abstract
Scientific and effective water allocation schemes are crucial for managing water resources. Traditional allocation schemes are built on an annual basis and fixed. However, because of the drastic spatio-temporal fluctuations in the availability and demand of water resources, fixed annual allocation schemes are impracticable. This work proposed a dynamic allocation mechanism that can divide annual allocation schemes into monthly scales and dynamically correct allocation schemes to make them adapt to the above fluctuations. First, a total quantity allocation model, which focuses on fairness and efficiency, was developed to allocate annual water resources. Secondly, a combination weighting model for a monthly water allocation was built using game theory to make the allocation schemes stricter and more executable. Thirdly, a dynamic allocation mechanism was constructed to dynamically correct the allocation schemes. The results indicate that (1) coupling a total quantity allocation scheme with monthly allocation schemes is more in line with management requirements and (2) compared with static allocation schemes, rolling correction schemes can reduce the deviation between planned and actual water consumption by 10–20%. A dynamic allocation mechanism can make water resource allocation schemes more resilient to spatiotemporal changes in supply and demand of water resources.
Funder
the Natural Science Basic Research Program of Shaanxi Province
the National Natural Science Foundation of China
the Science and Technology Program of Shaanxi Province
State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi’an University of Technology
Scientific Research Program Funded by Shaanxi Provincial Education Department
Subject
Water Science and Technology
Cited by
5 articles.
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