Articles | Volume 17, issue 3
https://doi.org/10.5194/hess-17-913-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-17-913-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| Highlight paper
| 
04 Mar 2013
Research article | Highlight paper |
| 04 Mar 2013
A statistical analysis of insurance damage claims related to rainfall extremes
M. H. Spekkers
Delft University of Technology, Department of Water Management, Delft, the Netherlands
M. Kok
Delft University of Technology, Department of Hydraulic Engineering, Delft, the Netherlands
F. H. L. R. Clemens
Delft University of Technology, Department of Water Management, Delft, the Netherlands
J. A. E. ten Veldhuis
Delft University of Technology, Department of Water Management, Delft, the Netherlands
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- Pluvial flood risk and opportunities for resilience B. Rosenzweig et al. 10.1002/wat2.1302
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- The robustness of flood insurance regimes given changing risk resulting from climate change J. Lamond & E. Penning-Rowsell 10.1016/j.crm.2014.03.001
49 citations as recorded by crossref.
- Analyzing explanatory factors of urban pluvial floods in Shanghai using geographically weighted regression C. Wang et al. 10.1007/s00477-016-1242-6
- The undebated issue of justice: silent discourses in Dutch flood risk management M. Kaufmann et al. 10.1007/s10113-016-1086-0
- Opportunities for multivariate analysis of open spatial datasets to characterize urban flooding risks S. Gaitan & J. ten Veldhuis 10.5194/piahs-370-9-2015
- Critical rainfall thresholds for urban pluvial flooding inferred from citizen observations X. Tian et al. 10.1016/j.scitotenv.2019.06.355
- 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
- Exploring the potential of multivariate depth‐damage and rainfall‐damage models L. Van Ootegem et al. 10.1111/jfr3.12284
- Urban flood damage claim analyses for improved flood damage assessment S. Mobini et al. 10.1016/j.ijdrr.2022.103099
- 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
- Guidance on field survey programme design for basement flooding assessment A. Jiang et al. 10.1080/02626667.2020.1782412
- Chronicle of a forecast flood: exposure and vulnerability on the south-east coast of Spain R. Giménez-García et al. 10.1007/s11069-022-05400-0
- Evaluating Flood Risk Reduction by Urban Blue-Green Infrastructure Using Insurance Data J. Sörensen & T. Emilsson 10.1061/(ASCE)WR.1943-5452.0001037
- Sensitivity of Australian roof drainage structures to design rainfall variability and climatic change L. Verstraten et al. 10.1016/j.buildenv.2019.106230
- Pluvial flood risk and opportunities for resilience B. Rosenzweig et al. 10.1002/wat2.1302
- Risk analysis of probable maximum precipitation estimates A. Singh 10.15406/ijh.2018.02.00105
- Characterizing precipitation events leading to surface water flood damage over large regions of complex terrain D. Bernet et al. 10.1088/1748-9326/ab127c
- Commercial microwave links for urban drainage modelling: The effect of link characteristics and their position on runoff simulations J. Pastorek et al. 10.1016/j.jenvman.2019.109522
- Statistical model for economic damage from pluvial floods in Japan using rainfall data and socioeconomic parameters R. Bhattarai et al. 10.5194/nhess-16-1063-2016
- Solids dynamics in gully pots M. Rietveld et al. 10.1080/1573062X.2020.1823430
- Surface water floods in Switzerland: what insurance claim records tell us about the damage in space and time D. Bernet et al. 10.5194/nhess-17-1659-2017
- A joint modelling framework for daily extremes of river discharge and precipitation in urban areas K. Breinl et al. 10.1111/jfr3.12150
- Rainfall-driven machine learning models for accurate flood inundation mapping in Karachi, Pakistan U. Rasool et al. 10.1016/j.uclim.2023.101573
- Pluvial, urban flood mechanisms and characteristics – Assessment based on insurance claims J. Sörensen & S. Mobini 10.1016/j.jhydrol.2017.09.039
- 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
- Development of Flood Damage Regression Models by Rainfall Identification Reflecting Landscape Features in Gangwon Province, the Republic of Korea H. Choi 10.3390/land10020123
- Economic damages due to extreme precipitation during tropical storms: evidence from Jamaica D. Collalti & E. Strobl 10.1007/s11069-021-05025-9
- 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
- Rapid mapping of urban development from historic Ordnance Survey maps: An application for pluvial flood risk in Worcester F. Visser 10.1080/17445647.2014.893847
- On the occurrence of rainstorm damage based on home insurance and weather data M. Spekkers et al. 10.5194/nhess-15-261-2015
- GIS-Based Social Cost–Benefit Analysis on Integrated Urban Water Management in China: A Case Study of Sponge City in Harbin . Fan & . Matsumoto 10.3390/su11195527
- Decision-tree analysis of factors influencing rainfall-related building structure and content damage M. Spekkers et al. 10.5194/nhess-14-2531-2014
- Impact‐Based Forecasting for Pluvial Floods V. Rözer et al. 10.1029/2020EF001851
- Community-Level Flood Mitigation Effects on Household-Level Flood Insurance and Damage Claims Payments E. Frimpong 10.2139/ssrn.2940429
- Changes in flood damage with global warming on the eastern coast of Spain M. Cortès et al. 10.5194/nhess-19-2855-2019
- Contribution of historical precipitation change to US flood damages F. Davenport et al. 10.1073/pnas.2017524118
- Multivariate pluvial flood damage models L. Van Ootegem et al. 10.1016/j.eiar.2015.05.005
- Are flood damage models converging to “reality”? Lessons learnt from a blind test D. Molinari et al. 10.5194/nhess-20-2997-2020
- Risk communication nudges and flood insurance demand P. Robinson et al. 10.1016/j.crm.2021.100366
- Insurance risk assessment in the face of climate change: Integrating data science and statistics V. Lyubchich et al. 10.1002/wics.1462
- 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
- Driving Factors and Risk Assessment of Rainstorm Waterlogging in Urban Agglomeration Areas: A Case Study of the Guangdong-Hong Kong-Macao Greater Bay Area, China F. Liu et al. 10.3390/w13060770
- Analysis of pluvial flood damage costs in residential buildings – A case study in Malmö S. Mobini et al. 10.1016/j.ijdrr.2021.102407
- Mapping cumulative compound hydrometeorological and marine-induced risks on the NW Mediterranean coast R. Romero-Martín et al. 10.1038/s41598-024-53899-z
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- Can urban pluvial flooding be predicted by open spatial data and weather data? S. Gaitan et al. 10.1016/j.envsoft.2016.08.007
- Exploring the relationship between flood insurance claims, crowdsourced rainfall, and tide levels for coastal urban communities: Case study for the mid-Atlantic United States A. Chen et al. 10.1016/j.jhydrol.2023.130123
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3 citations as recorded by crossref.
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- Multivariate pluvial flood damage models L. Van Ootegem et al. 10.1016/j.eiar.2015.05.005
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