Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2769-2020
https://doi.org/10.5194/hess-24-2769-2020
Research article
 | 
28 May 2020
Research article |  | 28 May 2020

A novel data-driven analytical framework on hierarchical water allocation integrated with blue and virtual water transfers

Liming Yao, Zhongwen Xu, Huijuan Wu, and Xudong Chen

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Short summary
Results show that coalitional strategy of blue and virtual water transfers can substantially save water and improve utilization efficiency without harming sectors' benefits and increasing ecological stresses. Under various polices, we use data-driven analysis to simulate hydrological and economic parameters, such as available water, crop import price, and water market price. Different water allocation and transfer results are obtained by adjusting hydrological and economic parameters.