Articles | Volume 23, issue 5
https://doi.org/10.5194/hess-23-2261-2019
https://doi.org/10.5194/hess-23-2261-2019
Research article
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10 May 2019
Research article | Highlight paper |  | 10 May 2019

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

Jin-Young Hyun, Shih-Yu Huang, Yi-Chen Ethan Yang, Vincent Tidwell, and Jordan Macknick

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Cited articles

Ajzen, I.: The theory of planned behavior, Organ. Behav. Hum. Decis. Process., 50, 179–211, https://doi.org/10.1016/0749-5978(91)90020-T, 1991. 
An, L., Linderman, M., Qi, J., Shortridge, A., and Liu, J.: Exploring complexity in a human environment system: an agent-based spatial model for multidisciplinary and multi-scale Integration, Ann. Assoc. Am. Geogr., 95, 54–79, https://doi.org/10.1111/j.1467-8306.2005.00450.x, 2005. 
An, L., Zvoleff, A., Liu, J., and Axinn, W.: Agent-based modeling in coupled human and natural systems (CHANS): Lessons from a comparative analysis, Ann. Assoc. Am. Geogr, 104, 723–745, https://doi.org/10.1080/00045608.2014.910085, 2014. 
Annual Operating Plan for Colorado River Reservoirs: US Department of the Interior Bureau of Reclamation, available at: https://www.usbr.gov/uc/water/rsvrs/ops/aop/ (last access: 7 May 2019), 2017. 
Baggett, S., Jeffrey, P., and Jefferson, B.: Risk perception in participatory planning for water reuse, Desalination, 187, 149–158, https://doi.org/10.1016/j.desal.2005.04.075, 2006. 
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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.