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

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (01 Jul 2019) by Jim Freer
AR by Lihua Xiong on behalf of the Authors (25 Jul 2019)  Author's response    Manuscript
ED: Publish subject to revisions (further review by editor and referees) (20 Aug 2019) by Jim Freer
ED: Referee Nomination & Report Request started (20 Aug 2019) by Jim Freer
RR by Anonymous Referee #1 (29 Aug 2019)
RR by Anonymous Referee #2 (10 Sep 2019)
ED: Publish subject to minor revisions (review by editor) (19 Sep 2019) by Jim Freer
AR by Anna Wenzel on behalf of the Authors (01 Oct 2019)  Author's response    Manuscript
ED: Publish as is (04 Oct 2019) by Jim Freer
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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.