Articles | Volume 20, issue 10
https://doi.org/10.5194/nhess-20-2647-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-2647-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Oct 2020
Research article |
| 06 Oct 2020
| 06 Oct 2020
Building hazard maps with differentiated risk perception for flood impact assessment
Chair of Hydrology and River Basin Management, Department of Civil,
Geo and Environmental Engineering,
Technical University of Munich, Arcisstrasse 21, 80333 Munich, Germany
Jorge Leandro
Chair of Hydrology and River Basin Management, Department of Civil,
Geo and Environmental Engineering,
Technical University of Munich, Arcisstrasse 21, 80333 Munich, Germany
Markus Disse
Chair of Hydrology and River Basin Management, Department of Civil,
Geo and Environmental Engineering,
Technical University of Munich, Arcisstrasse 21, 80333 Munich, Germany
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Cited
15 citations as recorded by crossref.
- Analysis of Small and Medium–Scale River Flood Risk in Case of Exceeding Control Standard Floods Using Hydraulic Model Z. Wang et al. 10.3390/w14010057
- Improved building-specific flood risk assessment and implications of depth-damage function selection E. Gnan et al. 10.3389/frwa.2022.919726
- Integrating LiDAR-derived DEM, rainfall radar data, and SAR imagery for 2D HEC-RAS modelling to assess the severity of pluvial flash floods induced by Storm Boris in SE Romania A. Mihu-Pintilie et al. 10.1080/19475705.2025.2488190
- Flood Mapping and Damage Assessment in Vietnam’s Kon and Ky Lo River Basins using Radar Remote Sensing and Google Earth Engine V. Tho Phan et al. 10.1088/1755-1315/1501/1/012005
- A novel expert opinion-based approach to compute estimations of flood damage to property in dense urban environments. Barcelona case study E. Martínez-Gomariz et al. 10.1016/j.jhydrol.2021.126244
- Probabilistic Flood Hazard Maps from Monte Carlo Derived Peak Flow Values—An Application to Flood Risk Management in Zamora City (Spain) J. Garrote et al. 10.3390/app11146629
- Mapping Compound Flooding Risks for Urban Resilience in Coastal Zones: A Comprehensive Methodological Review H. Sun et al. 10.3390/rs16020350
- A practical probabilistic approach for simulating life loss in an urban area associated with a dam-break flood A. EL Bilali et al. 10.1016/j.ijdrr.2022.103011
- Urban Population Flood Impact Applied to a Warsaw Scenario J. Nowak Da Costa et al. 10.3390/resources10060062
- Is HEC-RAS 2D accurate enough for storm-event hazard assessment? Lessons learnt from a benchmarking study based on rain-on-grid modelling P. Costabile et al. 10.1016/j.jhydrol.2021.126962
- Quantitative flood hazard assessment methods: A review A. Maranzoni et al. 10.1111/jfr3.12855
- GIS-Based Urban Flood Risk Assessment and Management—A Case Study of Delhi National Capital Territory (NCT), India P. Tomar et al. 10.3390/su132212850
- A Bayesian framework to assess and create risk maps of groundwater flooding P. Merchán-Rivera et al. 10.1016/j.jhydrol.2022.127797
- Parameter Uncertainties in Flood Hazard Analysis of Heavy Rain Events A. Sauer & R. Ortlepp 10.1061/AJRUA6.0001125
- AHP and TOPSIS based flood risk assessment- a case study of the Navsari City, Gujarat, India A. Pathan et al. 10.1007/s10661-022-10111-x
14 citations as recorded by crossref.
- Analysis of Small and Medium–Scale River Flood Risk in Case of Exceeding Control Standard Floods Using Hydraulic Model Z. Wang et al. 10.3390/w14010057
- Improved building-specific flood risk assessment and implications of depth-damage function selection E. Gnan et al. 10.3389/frwa.2022.919726
- Integrating LiDAR-derived DEM, rainfall radar data, and SAR imagery for 2D HEC-RAS modelling to assess the severity of pluvial flash floods induced by Storm Boris in SE Romania A. Mihu-Pintilie et al. 10.1080/19475705.2025.2488190
- Flood Mapping and Damage Assessment in Vietnam’s Kon and Ky Lo River Basins using Radar Remote Sensing and Google Earth Engine V. Tho Phan et al. 10.1088/1755-1315/1501/1/012005
- A novel expert opinion-based approach to compute estimations of flood damage to property in dense urban environments. Barcelona case study E. Martínez-Gomariz et al. 10.1016/j.jhydrol.2021.126244
- Probabilistic Flood Hazard Maps from Monte Carlo Derived Peak Flow Values—An Application to Flood Risk Management in Zamora City (Spain) J. Garrote et al. 10.3390/app11146629
- Mapping Compound Flooding Risks for Urban Resilience in Coastal Zones: A Comprehensive Methodological Review H. Sun et al. 10.3390/rs16020350
- A practical probabilistic approach for simulating life loss in an urban area associated with a dam-break flood A. EL Bilali et al. 10.1016/j.ijdrr.2022.103011
- Urban Population Flood Impact Applied to a Warsaw Scenario J. Nowak Da Costa et al. 10.3390/resources10060062
- Is HEC-RAS 2D accurate enough for storm-event hazard assessment? Lessons learnt from a benchmarking study based on rain-on-grid modelling P. Costabile et al. 10.1016/j.jhydrol.2021.126962
- Quantitative flood hazard assessment methods: A review A. Maranzoni et al. 10.1111/jfr3.12855
- GIS-Based Urban Flood Risk Assessment and Management—A Case Study of Delhi National Capital Territory (NCT), India P. Tomar et al. 10.3390/su132212850
- A Bayesian framework to assess and create risk maps of groundwater flooding P. Merchán-Rivera et al. 10.1016/j.jhydrol.2022.127797
- Parameter Uncertainties in Flood Hazard Analysis of Heavy Rain Events A. Sauer & R. Ortlepp 10.1061/AJRUA6.0001125
1 citations as recorded by crossref.
Latest update: 03 Jul 2025
Short summary
In operational flood risk management, a single best model is used to assess the impact of flooding, which might misrepresent uncertainties in the modelling process. We have used quantified uncertainties in flood forecasting to generate flood hazard maps that were combined based on different exceedance probability scenarios with the purpose to differentiate impacts of flooding and to account for uncertainties in flood hazard maps that can be used by decision makers.
In operational flood risk management, a single best model is used to assess the impact of...
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