Articles | Volume 16, issue 6
https://doi.org/10.5194/nhess-16-1323-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/nhess-16-1323-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Jun 2016
Research article |
| 08 Jun 2016
A spatial Bayesian network model to assess the benefits of early warning for urban flood risk to people
Stefano Balbi
CORRESPONDING AUTHOR
BC3, Basque Centre for Climate Change, 48940 Leioa, Spain
Ferdinando Villa
BC3, Basque Centre for Climate Change, 48940 Leioa, Spain
IKERBASQUE, Basque Foundation for Science, 48013 Bilbao, Spain
Vahid Mojtahed
Ca' Foscari University of Venice, Department of Economics and Venice Centre for Climate Studies, 30123 Venice, Italy
Fera Science Ltd., York YO41 1LZ, UK
Karin Tessa Hegetschweiler
Swiss Federal Institute for Forest, Snow and Landscape Research – WSL, 8903 Birmensdorf, Switzerland
Carlo Giupponi
Ca' Foscari University of Venice, Department of Economics and Venice Centre for Climate Studies, 30123 Venice, Italy
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Cited
27 citations as recorded by crossref.
- Multi-risk assessment in mountain regions: A review of modelling approaches for climate change adaptation S. Terzi et al. 10.1016/j.jenvman.2018.11.100
- Establishment of an integrated decision-making method for planning the ecological restoration of terrestrial ecosystems K. Guo et al. 10.1016/j.scitotenv.2020.139852
- Decision Support for Integrated Management of Local-Level Adaptation to Climate Changes: The Case of Serbia P. Vranić et al. 10.1007/s13753-021-00357-3
- Flash in action I. Sabek et al. 10.14778/3352063.3352078
- Economic Evaluation of Mental Health Effects of Flooding Using Bayesian Networks T. Sedighi et al. 10.3390/ijerph18147467
- Developing an Automated Medium-Range Flood Awareness System for Switzerland Based on Probabilistic Forecasts of Integrated Water Vapor Fluxes I. Mahlstein et al. 10.1175/WAF-D-18-0189.1
- A comprehensive review of Bayesian statistics in natural hazards engineering Y. Zheng et al. 10.1007/s11069-021-04729-2
- Assessing Flood Risk Dynamics in Data-Scarce Environments—Experiences From Combining Impact Chains With Bayesian Network Analysis in the Lower Mono River Basin, Benin M. Wetzel et al. 10.3389/frwa.2022.837688
- A Review of Bayesian Networks for Spatial Data C. Krapu et al. 10.1145/3516523
- Machine learning for ecosystem services S. Willcock et al. 10.1016/j.ecoser.2018.04.004
- Floods, landscape modifications and population dynamics in anthropogenic coastal lowlands: The Polesine (northern Italy) case study D. Viero et al. 10.1016/j.scitotenv.2018.09.121
- An integrated risk-based early warning system to increase community resilience against disaster A. Haque et al. 10.1016/j.pdisas.2023.100310
- A Bayesian network approach for multi-sectoral flood damage assessment and multi-scenario analysis R. Harris et al. 10.1016/j.crm.2022.100410
- Flash I. Sabek 10.1145/3383653.3383654
- A review of graphical methods to map the natural hazard-to-wellbeing risk chain in a socio-ecological system J. Monge et al. 10.1016/j.scitotenv.2021.149947
- A unified discharge capacity formula of clogged grate inlets J. Xia et al. 10.1080/1573062X.2023.2204861
- Dynamic simulation of urbanization and eco-environment coupling: Current knowledge and future prospects X. Cui et al. 10.1007/s11442-020-1731-x
- Key Disaster-Causing Factors Chains on Urban Flood Risk Based on Bayesian Network S. Huang et al. 10.3390/land10020210
- The Resilience of the Built Environment to Flooding: The Case of Alappuzha District in the South Indian State of Kerala A. Choorapulakkal et al. 10.3390/su16125142
- Reasoning Disaster Chains with Bayesian Network Estimated Under Expert Prior Knowledge L. Huang et al. 10.1007/s13753-023-00530-w
- How suitable are current approaches to simulate flood risk under future urbanization trends? V. Zwirglmaier et al. 10.1088/1748-9326/ad536f
- Urban flood disaster risk evaluation based on ontology and Bayesian Network Z. Wu et al. 10.1016/j.jhydrol.2020.124596
- A spatially explicit decision support framework for parcel- and community-level resilience assessment using Bayesian networks D. Sanderson et al. 10.1080/23789689.2021.1966164
- Towards better flood risk management using a Bayesian network approach G. Wessels et al. 10.1051/matecconf/202237007001
- Incorporating Uncertainty of the System Behavior in Flood Risk Assessment—Sava River Case Study T. Kekez et al. 10.3390/w12102676
- Preface: Natural hazard event analysis for risk reduction and adaptation K. Schröter et al. 10.5194/nhess-18-963-2018
- Reviewing Bayesian Networks potentials for climate change impacts assessment and management: A multi-risk perspective A. Sperotto et al. 10.1016/j.jenvman.2017.07.044
26 citations as recorded by crossref.
- Multi-risk assessment in mountain regions: A review of modelling approaches for climate change adaptation S. Terzi et al. 10.1016/j.jenvman.2018.11.100
- Establishment of an integrated decision-making method for planning the ecological restoration of terrestrial ecosystems K. Guo et al. 10.1016/j.scitotenv.2020.139852
- Decision Support for Integrated Management of Local-Level Adaptation to Climate Changes: The Case of Serbia P. Vranić et al. 10.1007/s13753-021-00357-3
- Flash in action I. Sabek et al. 10.14778/3352063.3352078
- Economic Evaluation of Mental Health Effects of Flooding Using Bayesian Networks T. Sedighi et al. 10.3390/ijerph18147467
- Developing an Automated Medium-Range Flood Awareness System for Switzerland Based on Probabilistic Forecasts of Integrated Water Vapor Fluxes I. Mahlstein et al. 10.1175/WAF-D-18-0189.1
- A comprehensive review of Bayesian statistics in natural hazards engineering Y. Zheng et al. 10.1007/s11069-021-04729-2
- Assessing Flood Risk Dynamics in Data-Scarce Environments—Experiences From Combining Impact Chains With Bayesian Network Analysis in the Lower Mono River Basin, Benin M. Wetzel et al. 10.3389/frwa.2022.837688
- A Review of Bayesian Networks for Spatial Data C. Krapu et al. 10.1145/3516523
- Machine learning for ecosystem services S. Willcock et al. 10.1016/j.ecoser.2018.04.004
- Floods, landscape modifications and population dynamics in anthropogenic coastal lowlands: The Polesine (northern Italy) case study D. Viero et al. 10.1016/j.scitotenv.2018.09.121
- An integrated risk-based early warning system to increase community resilience against disaster A. Haque et al. 10.1016/j.pdisas.2023.100310
- A Bayesian network approach for multi-sectoral flood damage assessment and multi-scenario analysis R. Harris et al. 10.1016/j.crm.2022.100410
- Flash I. Sabek 10.1145/3383653.3383654
- A review of graphical methods to map the natural hazard-to-wellbeing risk chain in a socio-ecological system J. Monge et al. 10.1016/j.scitotenv.2021.149947
- A unified discharge capacity formula of clogged grate inlets J. Xia et al. 10.1080/1573062X.2023.2204861
- Dynamic simulation of urbanization and eco-environment coupling: Current knowledge and future prospects X. Cui et al. 10.1007/s11442-020-1731-x
- Key Disaster-Causing Factors Chains on Urban Flood Risk Based on Bayesian Network S. Huang et al. 10.3390/land10020210
- The Resilience of the Built Environment to Flooding: The Case of Alappuzha District in the South Indian State of Kerala A. Choorapulakkal et al. 10.3390/su16125142
- Reasoning Disaster Chains with Bayesian Network Estimated Under Expert Prior Knowledge L. Huang et al. 10.1007/s13753-023-00530-w
- How suitable are current approaches to simulate flood risk under future urbanization trends? V. Zwirglmaier et al. 10.1088/1748-9326/ad536f
- Urban flood disaster risk evaluation based on ontology and Bayesian Network Z. Wu et al. 10.1016/j.jhydrol.2020.124596
- A spatially explicit decision support framework for parcel- and community-level resilience assessment using Bayesian networks D. Sanderson et al. 10.1080/23789689.2021.1966164
- Towards better flood risk management using a Bayesian network approach G. Wessels et al. 10.1051/matecconf/202237007001
- Incorporating Uncertainty of the System Behavior in Flood Risk Assessment—Sava River Case Study T. Kekez et al. 10.3390/w12102676
- Preface: Natural hazard event analysis for risk reduction and adaptation K. Schröter et al. 10.5194/nhess-18-963-2018
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Discussed (final revised paper)
Latest update: 13 Dec 2024
Short summary
This study develops a novel methodology to assess flood risk to people by integrating people’s vulnerability and ability to cushion hazards through coping and adapting. The model is used to estimate the effect of improving an existing early warning system. The proposed approach extends traditional risk assessments beyond material damages, complements quantitative and semi-quantitative data with subjective and local knowledge, and improves the use of commonly available information.
This study develops a novel methodology to assess flood risk to people by integrating people’s...
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