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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (11 Mar 2020) by Pieter van der Zaag
AR by Xudong Chen on behalf of the Authors (08 Apr 2020)  Author's response    Manuscript
ED: Publish subject to technical corrections (02 May 2020) by Pieter van der Zaag
AR by Xudong Chen on behalf of the Authors (02 May 2020)  Author's response    Manuscript
Download
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.