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

Viewed

Total article views: 2,389 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,682 658 49 2,389 44 38
  • HTML: 1,682
  • PDF: 658
  • XML: 49
  • Total: 2,389
  • BibTeX: 44
  • EndNote: 38
Views and downloads (calculated since 22 Aug 2019)
Cumulative views and downloads (calculated since 22 Aug 2019)

Viewed (geographical distribution)

Total article views: 2,389 (including HTML, PDF, and XML) Thereof 2,091 with geography defined and 298 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Apr 2024
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.