Articles | Volume 17, issue 9
https://doi.org/10.5194/nhess-17-1659-2017
© Author(s) 2017. 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-17-1659-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Sep 2017
Research article |
| 29 Sep 2017
Surface water floods in Switzerland: what insurance claim records tell us about the damage in space and time
Daniel B. Bernet
CORRESPONDING AUTHOR
Institute of Geography & Oeschger Centre for Climate Change Research & Mobiliar Lab for Natural Risks, University of Bern, Bern, Switzerland
Volker Prasuhn
Agroscope, Research Division, Agroecology and Environment, Zurich, Switzerland
Rolf Weingartner
Institute of Geography & Oeschger Centre for Climate Change Research & Mobiliar Lab for Natural Risks, University of Bern, Bern, Switzerland
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Cited
34 citations as recorded by crossref.
- Modellierung pluvialer Sturzfluten – Anforderungen und Sensitivitäten der 2D-hydraulischen Modellierung A. Huber et al. 10.1007/s00506-021-00749-1
- Proxy Data of Surface Water Floods in Rural Areas: Application to the Evaluation of the IRIP Intense Runoff Mapping Method Based on Satellite Remote Sensing and Rainfall Radar A. Cerbelaud et al. 10.3390/w14030393
- Material damage caused by high-magnitude rainfall based on insurance data: Comparing two flooding events in the Lisbon Metropolitan Area and Madeira Island, Portugal M. Leal et al. 10.1016/j.ijdrr.2020.101806
- How much does an extreme rainfall event cost? Material damage and relationships between insurance, rainfall, land cover and urban flooding M. Leal et al. 10.1080/02626667.2019.1595625
- A climate services perspective on Norwegian stormwater-related databases N. Labonnote et al. 10.1016/j.cliser.2019.01.006
- Urban surface water flood modelling – a comprehensive review of current models and future challenges K. Guo et al. 10.5194/hess-25-2843-2021
- Impact of an Integrated Approach in Disaster Management O. Njoku et al. 10.4018/IJOCI.2020040102
- An Efficient GPU Implementation of a Coupled Overland-Sewer Hydraulic Model with Pollutant Transport J. Fernández-Pato & P. García-Navarro 10.3390/hydrology8040146
- Preface: Damage of natural hazards: assessment and mitigation H. Kreibich et al. 10.5194/nhess-19-551-2019
- The relationship between precipitation and insurance data for floods in a Mediterranean region (northeast Spain) M. Cortès et al. 10.5194/nhess-18-857-2018
- Residential flood loss estimated from Bayesian multilevel models G. Mohor et al. 10.5194/nhess-21-1599-2021
- Real-time river level estimation based on variations of radar reflectivity—a case study of the Quitandinha River watershed, Petrópolis, Rio de Janeiro (Brazil) F. da Silva et al. 10.1007/s42865-021-00030-z
- Estimating the Impact of Climate and Vegetation Changes on Runoff Risk across the Hawaiian Landscape L. Berio Fortini et al. 10.3390/conservation3020020
- Assessing present and future risk of water damage using building attributes, meteorology, and topography* C. Heinrich-Mertsching et al. 10.1093/jrsssc/qlad043
- Mapping Pluvial Flood-Induced Damages with Multi-Sensor Optical Remote Sensing: A Transferable Approach A. Cerbelaud et al. 10.3390/rs15092361
- The use of insurance data in the analysis of Surface Water Flood events – A systematic review K. Gradeci et al. 10.1016/j.jhydrol.2018.10.060
- Runoff reaction from extreme rainfall events on natural hillslopes: a data set from 132 large-scale sprinkling experiments in south-western Germany F. Ries et al. 10.5194/essd-12-245-2020
- Natural hazard insurance outcomes at national, regional and local scales: A comparison between Sweden and Portugal M. Leal et al. 10.1016/j.jenvman.2022.116079
- Urban flood damage claim analyses for improved flood damage assessment S. Mobini et al. 10.1016/j.ijdrr.2022.103099
- Modeling the extent of surface water floods in rural areas: Lessons learned from the application of various uncalibrated models D. Bernet et al. 10.1016/j.envsoft.2018.08.005
- Validation of 2D flood models with insurance claims A. Zischg et al. 10.1016/j.jhydrol.2017.12.042
- The utility of impact data in flood forecast verification for anticipatory actions: Case studies from Uganda and Kenya F. Mitheu et al. 10.1111/jfr3.12911
- A 38-year record of muddy flooding at Breaky Bottom: Learning from a detailed case study J. Boardman 10.1016/j.catena.2020.104493
- Participatory development of storymaps to visualize the spatiotemporal dynamics and impacts of extreme flood events for disaster preparedness L. Munz et al. 10.1016/j.ijdrr.2023.104039
- Changes in flood damage with global warming on the eastern coast of Spain M. Cortès et al. 10.5194/nhess-19-2855-2019
- Off‐site impacts of soil erosion and runoff: Why connectivity is more important than erosion rates J. Boardman et al. 10.1111/sum.12496
- Analyzing Twitter communication about heavy precipitation events to improve future risk communication and disaster reduction in Germany L. Netzel et al. 10.1080/1573062X.2021.1878241
- Analysis of pluvial flood damage costs in residential buildings – A case study in Malmö S. Mobini et al. 10.1016/j.ijdrr.2021.102407
- Characterizing precipitation events leading to surface water flood damage over large regions of complex terrain D. Bernet et al. 10.1088/1748-9326/ab127c
- Quantifying damage contributions from convective and stratiform weather types: How well do precipitation and discharge data indicate the risk? K. Schroeer & M. Tye 10.1111/jfr3.12491
- A Generalization of the Drainage Capacity in Data-Scarce Urban Areas: An Improved Equivalent Infiltration Method J. Liu et al. 10.3390/w16040589
- Systemic Inequity in Urban Flood Exposure and Damage Compensation S. Mobini et al. 10.3390/w12113152
- Analytical flow duration curves for summer streamflow in Switzerland A. Santos et al. 10.5194/hess-22-2377-2018
- A comparison of building value models for flood risk analysis V. Röthlisberger et al. 10.5194/nhess-18-2431-2018
34 citations as recorded by crossref.
- Modellierung pluvialer Sturzfluten – Anforderungen und Sensitivitäten der 2D-hydraulischen Modellierung A. Huber et al. 10.1007/s00506-021-00749-1
- Proxy Data of Surface Water Floods in Rural Areas: Application to the Evaluation of the IRIP Intense Runoff Mapping Method Based on Satellite Remote Sensing and Rainfall Radar A. Cerbelaud et al. 10.3390/w14030393
- Material damage caused by high-magnitude rainfall based on insurance data: Comparing two flooding events in the Lisbon Metropolitan Area and Madeira Island, Portugal M. Leal et al. 10.1016/j.ijdrr.2020.101806
- How much does an extreme rainfall event cost? Material damage and relationships between insurance, rainfall, land cover and urban flooding M. Leal et al. 10.1080/02626667.2019.1595625
- A climate services perspective on Norwegian stormwater-related databases N. Labonnote et al. 10.1016/j.cliser.2019.01.006
- Urban surface water flood modelling – a comprehensive review of current models and future challenges K. Guo et al. 10.5194/hess-25-2843-2021
- Impact of an Integrated Approach in Disaster Management O. Njoku et al. 10.4018/IJOCI.2020040102
- An Efficient GPU Implementation of a Coupled Overland-Sewer Hydraulic Model with Pollutant Transport J. Fernández-Pato & P. García-Navarro 10.3390/hydrology8040146
- Preface: Damage of natural hazards: assessment and mitigation H. Kreibich et al. 10.5194/nhess-19-551-2019
- The relationship between precipitation and insurance data for floods in a Mediterranean region (northeast Spain) M. Cortès et al. 10.5194/nhess-18-857-2018
- Residential flood loss estimated from Bayesian multilevel models G. Mohor et al. 10.5194/nhess-21-1599-2021
- Real-time river level estimation based on variations of radar reflectivity—a case study of the Quitandinha River watershed, Petrópolis, Rio de Janeiro (Brazil) F. da Silva et al. 10.1007/s42865-021-00030-z
- Estimating the Impact of Climate and Vegetation Changes on Runoff Risk across the Hawaiian Landscape L. Berio Fortini et al. 10.3390/conservation3020020
- Assessing present and future risk of water damage using building attributes, meteorology, and topography* C. Heinrich-Mertsching et al. 10.1093/jrsssc/qlad043
- Mapping Pluvial Flood-Induced Damages with Multi-Sensor Optical Remote Sensing: A Transferable Approach A. Cerbelaud et al. 10.3390/rs15092361
- The use of insurance data in the analysis of Surface Water Flood events – A systematic review K. Gradeci et al. 10.1016/j.jhydrol.2018.10.060
- Runoff reaction from extreme rainfall events on natural hillslopes: a data set from 132 large-scale sprinkling experiments in south-western Germany F. Ries et al. 10.5194/essd-12-245-2020
- Natural hazard insurance outcomes at national, regional and local scales: A comparison between Sweden and Portugal M. Leal et al. 10.1016/j.jenvman.2022.116079
- Urban flood damage claim analyses for improved flood damage assessment S. Mobini et al. 10.1016/j.ijdrr.2022.103099
- Modeling the extent of surface water floods in rural areas: Lessons learned from the application of various uncalibrated models D. Bernet et al. 10.1016/j.envsoft.2018.08.005
- Validation of 2D flood models with insurance claims A. Zischg et al. 10.1016/j.jhydrol.2017.12.042
- The utility of impact data in flood forecast verification for anticipatory actions: Case studies from Uganda and Kenya F. Mitheu et al. 10.1111/jfr3.12911
- A 38-year record of muddy flooding at Breaky Bottom: Learning from a detailed case study J. Boardman 10.1016/j.catena.2020.104493
- Participatory development of storymaps to visualize the spatiotemporal dynamics and impacts of extreme flood events for disaster preparedness L. Munz et al. 10.1016/j.ijdrr.2023.104039
- Changes in flood damage with global warming on the eastern coast of Spain M. Cortès et al. 10.5194/nhess-19-2855-2019
- Off‐site impacts of soil erosion and runoff: Why connectivity is more important than erosion rates J. Boardman et al. 10.1111/sum.12496
- Analyzing Twitter communication about heavy precipitation events to improve future risk communication and disaster reduction in Germany L. Netzel et al. 10.1080/1573062X.2021.1878241
- Analysis of pluvial flood damage costs in residential buildings – A case study in Malmö S. Mobini et al. 10.1016/j.ijdrr.2021.102407
- Characterizing precipitation events leading to surface water flood damage over large regions of complex terrain D. Bernet et al. 10.1088/1748-9326/ab127c
- Quantifying damage contributions from convective and stratiform weather types: How well do precipitation and discharge data indicate the risk? K. Schroeer & M. Tye 10.1111/jfr3.12491
- A Generalization of the Drainage Capacity in Data-Scarce Urban Areas: An Improved Equivalent Infiltration Method J. Liu et al. 10.3390/w16040589
- Systemic Inequity in Urban Flood Exposure and Damage Compensation S. Mobini et al. 10.3390/w12113152
- Analytical flow duration curves for summer streamflow in Switzerland A. Santos et al. 10.5194/hess-22-2377-2018
- A comparison of building value models for flood risk analysis V. Röthlisberger et al. 10.5194/nhess-18-2431-2018
Latest update: 18 Apr 2024
Short summary
To quantify the relevance of surface water floods in Switzerland, we introduce and analyze an exhaustive set of insurance flood damage claims. First, we present a method to classify such claims and then we analyze the classified data with respect to space and time. The results reveal that just as fluvial floods are responsible for vast damage in Switzerland, so too are surface water floods. Accordingly, surface water floods should receive similar attention like fluvial floods.
To quantify the relevance of surface water floods in Switzerland, we introduce and analyze an...
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