Articles | Volume 23, issue 11
https://doi.org/10.5194/hess-23-4453-2019
https://doi.org/10.5194/hess-23-4453-2019
Research article
 | 
30 Oct 2019
Research article |  | 30 Oct 2019

Assessing the impacts of reservoirs on downstream flood frequency by coupling the effect of scheduling-related multivariate rainfall with an indicator of reservoir effects

Bin Xiong, Lihua Xiong, Jun Xia, Chong-Yu Xu, Cong Jiang, and Tao Du

Viewed

Total article views: 3,936 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,455 1,415 66 3,936 176 61 73
  • HTML: 2,455
  • PDF: 1,415
  • XML: 66
  • Total: 3,936
  • Supplement: 176
  • BibTeX: 61
  • EndNote: 73
Views and downloads (calculated since 19 Mar 2019)
Cumulative views and downloads (calculated since 19 Mar 2019)

Viewed (geographical distribution)

Total article views: 3,936 (including HTML, PDF, and XML) Thereof 3,497 with geography defined and 439 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (preprint)

Latest update: 23 Nov 2024
Download
Short summary
We develop a new indicator of reservoir effects, called the rainfall–reservoir composite index (RRCI). RRCI, coupled with the effects of static reservoir capacity and scheduling-related multivariate rainfall, has a better performance than the previous indicator in terms of explaining the variation in the downstream floods affected by reservoir operation. A covariate-based flood frequency analysis using RRCI can provide more reliable downstream flood risk estimation.