Articles | Volume 20, issue 9
https://doi.org/10.5194/nhess-20-2503-2020
© 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-20-2503-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Sep 2020
Research article |
| 22 Sep 2020
| 22 Sep 2020
The object-specific flood damage database HOWAS 21
Patric Kellermann
GFZ German Research Centre for Geosciences, Section Hydrology,
Telegrafenberg, 14473 Potsdam, Germany
Kai Schröter
GFZ German Research Centre for Geosciences, Section Hydrology,
Telegrafenberg, 14473 Potsdam, Germany
Annegret H. Thieken
Institute of Environmental Science and Geography, University of
Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
Sören-Nils Haubrock
Beyond Concepts GmbH, Adolfstr. 23, 49078 Osnabrück, Germany
Heidi Kreibich
CORRESPONDING AUTHOR
GFZ German Research Centre for Geosciences, Section Hydrology,
Telegrafenberg, 14473 Potsdam, Germany
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Cited
18 citations as recorded by crossref.
- A Zero-Order Flood Damage Model for Regional-Scale Quick Assessments A. Pogliani et al. 10.3390/w13091292
- Invited perspectives: An insurer's perspective on the knowns and unknowns in natural hazard risk modelling M. Déroche 10.5194/nhess-23-251-2023
- Quantifying flood risk using InVEST-UFRM model and mitigation strategies: the case of Adama City, Ethiopia B. Leta & D. Adugna 10.1007/s40808-024-01956-x
- Spatiotemporal clustering of streamflow extremes and relevance to flood insurance claims: a stochastic investigation for the contiguous USA K. Papoulakos et al. 10.1007/s11069-024-06766-z
- Flood Damage Assessment: A Review of Microscale Methodologies for Residential Buildings O. Aribisala et al. 10.3390/su142113817
- Interregional economic impacts of an extreme storm flood scenario considering transportation interruption: A case study of Shanghai, China W. Ding & J. Wu 10.1016/j.scs.2022.104296
- Uncovering the Dynamics of Multi‐Sector Impacts of Hydrological Extremes: A Methods Overview M. de Brito et al. 10.1029/2023EF003906
- Are preferences for soil-based ecosystem services driven by spatial phenomena? B. Bartkowski et al. 10.1016/j.soisec.2023.100120
- Residential building flood damage: Insights on processes and implications for risk assessments R. Paulik et al. 10.1111/jfr3.12832
- Exposure and vulnerability estimation for modelling flood losses to commercial assets in Europe D. Paprotny et al. 10.1016/j.scitotenv.2020.140011
- Residential flood loss estimated from Bayesian multilevel models G. Mohor et al. 10.5194/nhess-21-1599-2021
- A new framework for flood damage assessment considering the within-event time evolution of hazard, exposure, and vulnerability T. Lazzarin et al. 10.1016/j.jhydrol.2022.128687
- Residential building and sub-building level flood damage analysis using simple and complex models R. Paulik et al. 10.1007/s11069-024-06756-1
- The Discharge Forecasting of Multiple Monitoring Station for Humber River by Hybrid LSTM Models Y. Zhang et al. 10.3390/w14111794
- Assessment of Supply and Demand of Regional Flood Regulation Ecosystem Services and Zoning Management in Response to Flood Disasters: A Case Study of Fujian Delta J. Tian et al. 10.3390/ijerph20010589
- Urban flood damage claim analyses for improved flood damage assessment S. Mobini et al. 10.1016/j.ijdrr.2022.103099
- Applications of artificial intelligence for disaster management W. Sun et al. 10.1007/s11069-020-04124-3
- A probabilistic approach to estimating residential losses from different flood types D. Paprotny et al. 10.1007/s11069-020-04413-x
16 citations as recorded by crossref.
- A Zero-Order Flood Damage Model for Regional-Scale Quick Assessments A. Pogliani et al. 10.3390/w13091292
- Invited perspectives: An insurer's perspective on the knowns and unknowns in natural hazard risk modelling M. Déroche 10.5194/nhess-23-251-2023
- Quantifying flood risk using InVEST-UFRM model and mitigation strategies: the case of Adama City, Ethiopia B. Leta & D. Adugna 10.1007/s40808-024-01956-x
- Spatiotemporal clustering of streamflow extremes and relevance to flood insurance claims: a stochastic investigation for the contiguous USA K. Papoulakos et al. 10.1007/s11069-024-06766-z
- Flood Damage Assessment: A Review of Microscale Methodologies for Residential Buildings O. Aribisala et al. 10.3390/su142113817
- Interregional economic impacts of an extreme storm flood scenario considering transportation interruption: A case study of Shanghai, China W. Ding & J. Wu 10.1016/j.scs.2022.104296
- Uncovering the Dynamics of Multi‐Sector Impacts of Hydrological Extremes: A Methods Overview M. de Brito et al. 10.1029/2023EF003906
- Are preferences for soil-based ecosystem services driven by spatial phenomena? B. Bartkowski et al. 10.1016/j.soisec.2023.100120
- Residential building flood damage: Insights on processes and implications for risk assessments R. Paulik et al. 10.1111/jfr3.12832
- Exposure and vulnerability estimation for modelling flood losses to commercial assets in Europe D. Paprotny et al. 10.1016/j.scitotenv.2020.140011
- Residential flood loss estimated from Bayesian multilevel models G. Mohor et al. 10.5194/nhess-21-1599-2021
- A new framework for flood damage assessment considering the within-event time evolution of hazard, exposure, and vulnerability T. Lazzarin et al. 10.1016/j.jhydrol.2022.128687
- Residential building and sub-building level flood damage analysis using simple and complex models R. Paulik et al. 10.1007/s11069-024-06756-1
- The Discharge Forecasting of Multiple Monitoring Station for Humber River by Hybrid LSTM Models Y. Zhang et al. 10.3390/w14111794
- Assessment of Supply and Demand of Regional Flood Regulation Ecosystem Services and Zoning Management in Response to Flood Disasters: A Case Study of Fujian Delta J. Tian et al. 10.3390/ijerph20010589
- Urban flood damage claim analyses for improved flood damage assessment S. Mobini et al. 10.1016/j.ijdrr.2022.103099
Latest update: 22 Nov 2024
Short summary
The flood damage database HOWAS 21 contains object-specific flood damage data resulting from fluvial, pluvial and groundwater flooding. The datasets incorporate various variables of flood hazard, exposure, vulnerability and direct tangible damage at properties from several economic sectors. This paper presents HOWAS 21 and highlights exemplary analyses to demonstrate the use of HOWAS 21 flood damage data.
The flood damage database HOWAS 21 contains object-specific flood damage data resulting from...
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