Articles | Volume 19, issue 8
https://doi.org/10.5194/hess-19-3557-2015
https://doi.org/10.5194/hess-19-3557-2015
Research article
 | 
12 Aug 2015
Research article |  | 12 Aug 2015

Improving multi-objective reservoir operation optimization with sensitivity-informed dimension reduction

J. Chu, C. Zhang, G. Fu, Y. Li, and H. Zhou

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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: Reconsider after major revisions (24 Jun 2015) by Dimitri Solomatine
AR by Chi Zhang on behalf of the Authors (25 Jun 2015)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (25 Jun 2015) by Dimitri Solomatine
RR by Anonymous Referee #1 (02 Jul 2015)
RR by Andreja Jonoski (13 Jul 2015)
ED: Publish subject to technical corrections (31 Jul 2015) by Dimitri Solomatine
AR by Chi Zhang on behalf of the Authors (04 Aug 2015)  Author's response    Manuscript
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Short summary
This study investigates the effectiveness of a sensitivity-informed method for multi-objective operation of reservoir systems, which uses a global sensitivity analysis method to screen out insensitive decision variables and thus forms simplified problems with a significantly reduced number of decision variables. We find that it is important to consider variable interactions when formulating simplified problems, and problem decomposition dramatically improves search efficiency and effectiveness.