Articles | Volume 17, issue 12
https://doi.org/10.5194/nhess-17-2163-2017
© 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-17-2163-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Dec 2017
Research article |
| 06 Dec 2017
Damage assessment in Braunsbach 2016: data collection and analysis for an improved understanding of damaging processes during flash floods
University of Potsdam, Institute of Earth and Environmental Science, Karl-Liebknecht-Strasse 24–25, 14476 Potsdam, Germany
Viktor Rözer
GFZ German Research Centre for Geosciences, Department of Hydrology, Telegrafenberg, 14473 Potsdam, Germany
Tobias Sieg
University of Potsdam, Institute of Earth and Environmental Science, Karl-Liebknecht-Strasse 24–25, 14476 Potsdam, Germany
GFZ German Research Centre for Geosciences, Department of Hydrology, Telegrafenberg, 14473 Potsdam, Germany
Kristin Vogel
University of Potsdam, Institute of Earth and Environmental Science, Karl-Liebknecht-Strasse 24–25, 14476 Potsdam, Germany
Annegret H. Thieken
University of Potsdam, Institute of Earth and Environmental Science, Karl-Liebknecht-Strasse 24–25, 14476 Potsdam, Germany
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Cited
42 citations as recorded by crossref.
- Preface: Damage of natural hazards: assessment and mitigation H. Kreibich et al. 10.5194/nhess-19-551-2019
- Toward an adequate level of detail in flood risk assessments T. Sieg et al. 10.1111/jfr3.12889
- Field survey assessment of flood loads and related building damage from the July 2021 event in the Ahr Valley (Germany) D. Wüthrich et al. 10.1111/jfr3.13024
- Residential building and sub-building level flood damage analysis using simple and complex models R. Paulik et al. 10.1007/s11069-024-06756-1
- Identifying Driving Factors in Flood‐Damaging Processes Using Graphical Models K. Vogel et al. 10.1029/2018WR022858
- Assessment of urban flood vulnerability using the social-ecological-technological systems framework in six US cities H. Chang et al. 10.1016/j.scs.2021.102786
- Providing guidance on efficient flash flood documentation: an application based approach M. Kaiser et al. 10.1016/j.jhydrol.2019.124466
- Gridded flood depth estimates from satellite-derived inundations S. Bryant et al. 10.5194/nhess-22-1437-2022
- Impact of an Integrated Approach in Disaster Management O. Njoku et al. 10.4018/IJOCI.2020040102
- Empirical flash flood vulnerability functions for residential buildings C. Arrighi et al. 10.1007/s42452-020-2696-1
- Impact‐Based Forecasting for Pluvial Floods V. Rözer et al. 10.1029/2020EF001851
- Multi-hazard vulnerability of structures and lifelines due to the 2015 Gorkha earthquake and 2017 central Nepal flash flood D. Gautam & Y. Dong 10.1016/j.jobe.2018.02.016
- A data-mining approach towards damage modelling for El Niño events in Peru F. Brill et al. 10.1080/19475705.2020.1818636
- Deep Learning–Based Building Attribute Estimation from Google Street View Images for Flood Risk Assessment Using Feature Fusion and Task Relation Encoding F. Chen et al. 10.1061/(ASCE)CP.1943-5487.0001025
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- Spatiotemporal analysis of heavy rain-induced flood occurrences in Germany using a novel event database approach M. Kaiser et al. 10.1016/j.jhydrol.2021.125985
- Remote sensing‐based mapping of structural building damage in the Ahr valley G. Samprogna Mohor et al. 10.1111/jfr3.12983
- Forensic analysis of flash flood response M. Borga et al. 10.1002/wat2.1338
- Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method F. Hosseini et al. 10.1016/j.scitotenv.2019.135161
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- The 2021 extreme rainfall in Gävle, Sweden: impacts on municipal welfare services and actions towards more resilient premises and operations E. Glaas et al. 10.2166/nh.2024.107
- Application of statistical techniques to proportional loss data: Evaluating the predictive accuracy of physical vulnerability to hazardous hydro-meteorological events C. Chow et al. 10.1016/j.jenvman.2019.05.084
- Flash Flood Risk Assessment and Mitigation in Digital-Era Governance Using Unmanned Aerial Vehicle and GIS Spatial Analyses Case Study: Small River Basins Ș. Bilașco et al. 10.3390/rs14102481
- Forensic hydro-meteorological analysis of an extreme flash flood: The 2016-05-29 event in Braunsbach, SW Germany A. Bronstert et al. 10.1016/j.scitotenv.2018.02.241
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- Evaluation of residential building damage for the July 2021 flood in Westport, New Zealand R. Paulik et al. 10.1186/s40562-024-00323-z
- Innovative Vulnerability and Risk Assessment of Urban Areas against Flood Events: Prognosis of Structural Damage with a New Approach Considering Flow Velocity H. Maiwald et al. 10.3390/w14182793
- Identification of torrential valleys using GIS and a novel hybrid integration of artificial intelligence, machine learning and bivariate statistics R. Costache et al. 10.1016/j.catena.2019.104179
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- Advocating integration of human responses in the flood resilience framework for inland cities of northern China M. Liu et al. 10.2166/wp.2024.253
- Multi-risk assessment in a historical city C. Arrighi et al. 10.1007/s11069-021-05125-6
- Compilation method of a catalogue of reasonable worst-case rainfall series for flash flood simulations of short, convective rainstorms E. Paton et al. 10.1016/j.jhydrol.2024.131091
- Rare flash floods and debris flows in southern Germany U. Ozturk et al. 10.1016/j.scitotenv.2018.01.172
41 citations as recorded by crossref.
- Preface: Damage of natural hazards: assessment and mitigation H. Kreibich et al. 10.5194/nhess-19-551-2019
- Toward an adequate level of detail in flood risk assessments T. Sieg et al. 10.1111/jfr3.12889
- Field survey assessment of flood loads and related building damage from the July 2021 event in the Ahr Valley (Germany) D. Wüthrich et al. 10.1111/jfr3.13024
- Residential building and sub-building level flood damage analysis using simple and complex models R. Paulik et al. 10.1007/s11069-024-06756-1
- Identifying Driving Factors in Flood‐Damaging Processes Using Graphical Models K. Vogel et al. 10.1029/2018WR022858
- Assessment of urban flood vulnerability using the social-ecological-technological systems framework in six US cities H. Chang et al. 10.1016/j.scs.2021.102786
- Providing guidance on efficient flash flood documentation: an application based approach M. Kaiser et al. 10.1016/j.jhydrol.2019.124466
- Gridded flood depth estimates from satellite-derived inundations S. Bryant et al. 10.5194/nhess-22-1437-2022
- Impact of an Integrated Approach in Disaster Management O. Njoku et al. 10.4018/IJOCI.2020040102
- Empirical flash flood vulnerability functions for residential buildings C. Arrighi et al. 10.1007/s42452-020-2696-1
- Impact‐Based Forecasting for Pluvial Floods V. Rözer et al. 10.1029/2020EF001851
- Multi-hazard vulnerability of structures and lifelines due to the 2015 Gorkha earthquake and 2017 central Nepal flash flood D. Gautam & Y. Dong 10.1016/j.jobe.2018.02.016
- A data-mining approach towards damage modelling for El Niño events in Peru F. Brill et al. 10.1080/19475705.2020.1818636
- Deep Learning–Based Building Attribute Estimation from Google Street View Images for Flood Risk Assessment Using Feature Fusion and Task Relation Encoding F. Chen et al. 10.1061/(ASCE)CP.1943-5487.0001025
- Flood, landslides, forest fire, and earthquake susceptibility maps using machine learning techniques and their combination H. Pourghasemi et al. 10.1007/s11069-023-05836-y
- Spatiotemporal analysis of heavy rain-induced flood occurrences in Germany using a novel event database approach M. Kaiser et al. 10.1016/j.jhydrol.2021.125985
- Remote sensing‐based mapping of structural building damage in the Ahr valley G. Samprogna Mohor et al. 10.1111/jfr3.12983
- Forensic analysis of flash flood response M. Borga et al. 10.1002/wat2.1338
- Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method F. Hosseini et al. 10.1016/j.scitotenv.2019.135161
- Efficient Histogram-Based Gradient Boosting Approach for Accident Severity Prediction With Multisource Data M. Tamim Kashifi & I. Ahmad 10.1177/03611981221074370
- Residential building flood damage: Insights on processes and implications for risk assessments R. Paulik et al. 10.1111/jfr3.12832
- Hydrogeomorphological analysis and modelling for a comprehensive understanding of flash-flood damage processes: the 9 October 2018 event in northeastern Mallorca J. Estrany et al. 10.5194/nhess-20-2195-2020
- Use of Soil Infiltration Capacity and Stream Flow Velocity to Estimate Physical Flood Vulnerability under Land-Use Change Scenarios Y. Hernández-Atencia et al. 10.3390/w15061214
- The 2021 extreme rainfall in Gävle, Sweden: impacts on municipal welfare services and actions towards more resilient premises and operations E. Glaas et al. 10.2166/nh.2024.107
- Application of statistical techniques to proportional loss data: Evaluating the predictive accuracy of physical vulnerability to hazardous hydro-meteorological events C. Chow et al. 10.1016/j.jenvman.2019.05.084
- Flash Flood Risk Assessment and Mitigation in Digital-Era Governance Using Unmanned Aerial Vehicle and GIS Spatial Analyses Case Study: Small River Basins Ș. Bilașco et al. 10.3390/rs14102481
- Forensic hydro-meteorological analysis of an extreme flash flood: The 2016-05-29 event in Braunsbach, SW Germany A. Bronstert et al. 10.1016/j.scitotenv.2018.02.241
- More than heavy rain turning into fast-flowing water – a landscape perspective on the 2021 Eifel floods M. Dietze et al. 10.5194/nhess-22-1845-2022
- Influences of a debris flow disaster chain on buildings in remote rural areas, Southwest China L. Zeng et al. 10.1080/19475705.2022.2132183
- Flash floods versus river floods – a comparison of psychological impacts and implications for precautionary behaviour J. Laudan et al. 10.5194/nhess-20-999-2020
- Impact of Scientific Scrutiny after the 2016 Braunsbach Flash Flood on Flood-Risk Management in the State of Baden-Württemberg, Germany A. Witting et al. 10.3390/w12041165
- Urban flood hazard mapping using machine learning models: GARP, RF, MaxEnt and NB M. Norallahi & H. Seyed Kaboli 10.1007/s11069-020-04453-3
- Understanding flood risk in urban environments: spatial analysis of building vulnerability and hazard areas in the Lisbon metropolitan area P. Santos et al. 10.1007/s11069-024-06731-w
- Enhancement of large-scale flood risk assessments using building-material-based vulnerability curves for an object-based approach in urban and rural areas J. Englhardt et al. 10.5194/nhess-19-1703-2019
- Evaluation of residential building damage for the July 2021 flood in Westport, New Zealand R. Paulik et al. 10.1186/s40562-024-00323-z
- Innovative Vulnerability and Risk Assessment of Urban Areas against Flood Events: Prognosis of Structural Damage with a New Approach Considering Flow Velocity H. Maiwald et al. 10.3390/w14182793
- Identification of torrential valleys using GIS and a novel hybrid integration of artificial intelligence, machine learning and bivariate statistics R. Costache et al. 10.1016/j.catena.2019.104179
- Compound inland flood events: different pathways, different impacts and different coping options A. Thieken et al. 10.5194/nhess-22-165-2022
- Advocating integration of human responses in the flood resilience framework for inland cities of northern China M. Liu et al. 10.2166/wp.2024.253
- Multi-risk assessment in a historical city C. Arrighi et al. 10.1007/s11069-021-05125-6
- Compilation method of a catalogue of reasonable worst-case rainfall series for flash flood simulations of short, convective rainstorms E. Paton et al. 10.1016/j.jhydrol.2024.131091
1 citations as recorded by crossref.
Latest update: 14 Dec 2024
Short summary
The flash flood in Braunsbach, Germany, in May 2016 was a severe and rather unfamiliar event which caused high monetary losses and heavy damage to buildings. Between 7 and 8 June we investigated all affected houses and conducted damage assessment to gain insights into the damage driving factors of those events. We conclude that the damage driving factors are complex and also differ partly from those of riverine floods, pointing out the need for further research.
The flash flood in Braunsbach, Germany, in May 2016 was a severe and rather unfamiliar event...
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