Articles | Volume 23, issue 2
Hydrol. Earth Syst. Sci., 23, 1145–1162, 2019
https://doi.org/10.5194/hess-23-1145-2019
Hydrol. Earth Syst. Sci., 23, 1145–1162, 2019
https://doi.org/10.5194/hess-23-1145-2019

Research article 28 Feb 2019

Research article | 28 Feb 2019

Incorporating the logistic regression into a decision-centric assessment of climate change impacts on a complex river system

Daeha Kim et al.

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Interactive discussion

Status: closed
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: Reconsider after major revisions (further review by editor and referees) (24 Sep 2018) by Graham Jewitt
AR by Si Jung Choi on behalf of the Authors (05 Nov 2018)  Author's response    Manuscript
ED: Reconsider after major revisions (further review by editor and referees) (12 Nov 2018) by Graham Jewitt
ED: Referee Nomination & Report Request started (30 Nov 2018) by Graham Jewitt
RR by Anonymous Referee #1 (24 Dec 2018)
RR by Caitlin Spence (01 Feb 2019)
ED: Publish subject to minor revisions (review by editor) (05 Feb 2019) by Graham Jewitt
AR by Si Jung Choi on behalf of the Authors (13 Feb 2019)  Author's response    Manuscript
ED: Publish subject to technical corrections (20 Feb 2019) by Graham Jewitt
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Short summary
In this study, we proposed an approach for gauging the risks of non-successful water supply and environmental reliabilities varying across a large river basin. The proposed method enables the measurement of system robustness to climate change with consideration of conflicting stakeholder interests. We simply converted the expected system performance under climate stresses into binary outcomes and applied them to the logistic regressions. A case study for a South Korean river basin is provided.