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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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HESS | Articles | Volume 23, issue 5
Hydrol. Earth Syst. Sci., 23, 2261–2278, 2019
https://doi.org/10.5194/hess-23-2261-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 23, 2261–2278, 2019
https://doi.org/10.5194/hess-23-2261-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 10 May 2019

Research article | 10 May 2019

Using a coupled agent-based modeling approach to analyze the role of risk perception in water management decisions

Jin-Young Hyun et al.
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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (07 Apr 2019) by Pieter van der Zaag
AR by Lorena Grabowski on behalf of the Authors (11 Apr 2019)  Author's response
ED: Publish subject to minor revisions (review by editor) (14 Apr 2019) by Pieter van der Zaag
AR by Lorena Grabowski on behalf of the Authors (18 Apr 2019)  Author's response
ED: Publish as is (19 Apr 2019) by Pieter van der Zaag
AR by Yi-Chen Ethan Yang on behalf of the Authors (21 Apr 2019)  Author's response    Manuscript
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Short summary
This study applies a two-way coupled agent-based model (ABM) with a river-reservoir management model (RiverWare) to analyze the role of risk perception in water management decisions using the Bayesian inference mapping joined with the cost–loss model. The calibration results capture the dynamics of historical irrigated area and streamflow changes and suggest that the proposed framework improves the representation of human decision-making processes compared to conventional rule-based ABMs.
This study applies a two-way coupled agent-based model (ABM) with a river-reservoir management...
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