Articles | Volume 23, issue 5
https://doi.org/10.5194/hess-23-2261-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-2261-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
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
Department of Civil and Environmental Engineering, Lehigh University, Bethlehem, Pennsylvania, USA
Shih-Yu Huang
Department of Civil and Environmental Engineering, Lehigh University, Bethlehem, Pennsylvania, USA
Department of Civil and Environmental Engineering, Lehigh University, Bethlehem, Pennsylvania, USA
Vincent Tidwell
Sandia National Laboratories, Albuquerque, New Mexico, USA
Jordan Macknick
National Renewable Energy Laboratory, Golden, Colorado, USA
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- Mapping the knowledge frontiers and evolution of decision making based on agent-based modeling X. Liang et al. 10.1016/j.knosys.2022.108982
- The Effects of Model Complexity on Model Output Uncertainty in Co‐Evolved Coupled Natural‐Human Systems C. Lin & Y. Yang 10.1029/2021EF002403
- Spatially explicit agent-based approach for human–flood interaction modeling under external support K. Sung et al. 10.1016/j.jhydrol.2022.128175
- Agent-Based Approach on Water Resources Management: A Modified Systematic Review K. AYBUĞA & A. YÜCEL IŞILDAR 10.31807/tjwsm.1123808
- An agent-based conflict resolution model for urban water resources management P. Darbandsari et al. 10.1016/j.scs.2020.102112
- A survey on agent‐based modelling assisted by machine learning A. Platas‐López et al. 10.1111/exsy.13325
- An uncertain agent-based model for socio-ecological simulation of groundwater use in irrigation: A case study of Lake Urmia Basin, Iran M. Anbari et al. 10.1016/j.agwat.2021.106796
- Examining the Food-Energy-Water-Environment Nexus in Transboundary River Basins through a Human Dimension Lens: Columbia River Basin J. Zhang et al. 10.1061/(ASCE)WR.1943-5452.0001461
- An agent-based model of the dual causality between individual and collective behaviors in an epidemic G. Palomo-Briones et al. 10.1016/j.compbiomed.2021.104995
- Impact of climate change on adaptive management decisions in the face of water scarcity Y. Yang et al. 10.1016/j.jhydrol.2020.125015
- An agent-based model for water allocation optimization and comparison with the game theory approach M. Noori et al. 10.2166/ws.2021.124
- Integrating Behavioral Theories in Agent-Based Models for Agricultural Drought Risk Assessments T. Schrieks et al. 10.3389/frwa.2021.686329
- Exploring the Consistency of Water Scarcity Inferences between Large-Scale Hydrologic and Node-Based Water System Model Representations of the Upper Colorado River Basin A. Hadjimichael et al. 10.1061/JWRMD5.WRENG-5522
- Simulation of the Urban Jobs–Housing Location Selection and Spatial Relationship Using a Multi-Agent Approach H. Wang et al. 10.3390/ijgi10010016
- mosartwmpy: A Python implementation of the MOSART-WM coupled hydrologic routing and water management model T. Thurber et al. 10.21105/joss.03221
- Fuzzy cognitive maps in systems risk analysis: a comprehensive review E. Bakhtavar et al. 10.1007/s40747-020-00228-2
- Cognitive modeling of the development of complex managed systems A. Baidakov et al. 10.1088/1757-899X/873/1/012040
- Assessing Adaptive Irrigation Impacts on Water Scarcity in Nonstationary Environments—A Multi‐Agent Reinforcement Learning Approach F. Hung & Y. Yang 10.1029/2020WR029262
20 citations as recorded by crossref.
- Climate-Land-Energy-Water Nexus Models Across Scales: Progress, Gaps and Best Accessibility Practices A. Vinca et al. 10.3389/fenvs.2021.691523
- Investigating uncertainties in human adaptation and their impacts on water scarcity in the Colorado river Basin, United States F. Hung et al. 10.1016/j.jhydrol.2022.128015
- Mapping the knowledge frontiers and evolution of decision making based on agent-based modeling X. Liang et al. 10.1016/j.knosys.2022.108982
- The Effects of Model Complexity on Model Output Uncertainty in Co‐Evolved Coupled Natural‐Human Systems C. Lin & Y. Yang 10.1029/2021EF002403
- Spatially explicit agent-based approach for human–flood interaction modeling under external support K. Sung et al. 10.1016/j.jhydrol.2022.128175
- Agent-Based Approach on Water Resources Management: A Modified Systematic Review K. AYBUĞA & A. YÜCEL IŞILDAR 10.31807/tjwsm.1123808
- An agent-based conflict resolution model for urban water resources management P. Darbandsari et al. 10.1016/j.scs.2020.102112
- A survey on agent‐based modelling assisted by machine learning A. Platas‐López et al. 10.1111/exsy.13325
- An uncertain agent-based model for socio-ecological simulation of groundwater use in irrigation: A case study of Lake Urmia Basin, Iran M. Anbari et al. 10.1016/j.agwat.2021.106796
- Examining the Food-Energy-Water-Environment Nexus in Transboundary River Basins through a Human Dimension Lens: Columbia River Basin J. Zhang et al. 10.1061/(ASCE)WR.1943-5452.0001461
- An agent-based model of the dual causality between individual and collective behaviors in an epidemic G. Palomo-Briones et al. 10.1016/j.compbiomed.2021.104995
- Impact of climate change on adaptive management decisions in the face of water scarcity Y. Yang et al. 10.1016/j.jhydrol.2020.125015
- An agent-based model for water allocation optimization and comparison with the game theory approach M. Noori et al. 10.2166/ws.2021.124
- Integrating Behavioral Theories in Agent-Based Models for Agricultural Drought Risk Assessments T. Schrieks et al. 10.3389/frwa.2021.686329
- Exploring the Consistency of Water Scarcity Inferences between Large-Scale Hydrologic and Node-Based Water System Model Representations of the Upper Colorado River Basin A. Hadjimichael et al. 10.1061/JWRMD5.WRENG-5522
- Simulation of the Urban Jobs–Housing Location Selection and Spatial Relationship Using a Multi-Agent Approach H. Wang et al. 10.3390/ijgi10010016
- mosartwmpy: A Python implementation of the MOSART-WM coupled hydrologic routing and water management model T. Thurber et al. 10.21105/joss.03221
- Fuzzy cognitive maps in systems risk analysis: a comprehensive review E. Bakhtavar et al. 10.1007/s40747-020-00228-2
- Cognitive modeling of the development of complex managed systems A. Baidakov et al. 10.1088/1757-899X/873/1/012040
- Assessing Adaptive Irrigation Impacts on Water Scarcity in Nonstationary Environments—A Multi‐Agent Reinforcement Learning Approach F. Hung & Y. Yang 10.1029/2020WR029262
Discussed (preprint)
Latest update: 29 Sep 2023
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...
