Articles | Volume 17, issue 7
https://doi.org/10.5194/nhess-17-1047-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-17-1047-2017
© 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 Jul 2017
Research article |
| 06 Jul 2017
Flood loss modelling with FLF-IT: a new flood loss function for Italian residential structures
Roozbeh Hasanzadeh Nafari
CORRESPONDING AUTHOR
Centre for Disaster Management and Public Safety (CDMPS), Department
of Infrastructure Engineering, University of Melbourne, Melbourne, 3010,
Australia
Bushfire & Natural Hazards Cooperative Research Centre, Melbourne,
3002, Australia
Mattia Amadio
Fondazione Eni Enrico Mattei (FEEM), Island of San Giorgio Maggiore, Venice, Italy
Risk Assessment and Adaptation Strategies Division, Euro-Mediterranean Center on Climate Change (CMCC), Island of San Giorgio Maggiore, Venice, Italy
Tuan Ngo
Director of the Advanced Protective Technologies for Engineering
Structures (APTES) Group, Department of Infrastructure Engineering,
University of Melbourne, Melbourne, 3010, Australia
Jaroslav Mysiak
Fondazione Eni Enrico Mattei (FEEM), Island of San Giorgio Maggiore, Venice, Italy
Risk Assessment and Adaptation Strategies Division, Euro-Mediterranean Center on Climate Change (CMCC), Island of San Giorgio Maggiore, Venice, Italy
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Cited
14 citations as recorded by crossref.
- Probabilistic Assessment of Pluvial Flood Risk Across 20 European Cities: A Demonstrator of the Copernicus Disaster Risk Reduction Service for Pluvial Flood Risk in Urban Areas A. Essenfelder et al. 10.1142/S2382624X22400070
- Calculating Economic Flood Damage through Microscale Risk Maps and Data Generalization: A Pilot Study in Southern Italy G. Festa et al. 10.3390/su14106286
- Flood Depth‒Damage Curves for Spanish Urban Areas E. Martínez-Gomariz et al. 10.3390/su12072666
- Developing a multivariable lookup table function for estimating flood damages of rice crop in Vietnam using a secondary research approach N. Nguyen et al. 10.1016/j.ijdrr.2021.102208
- Characterization of damages in buildings after floods in Vega Baja County (Spain) in 2019. The case study of Almoradí municipality R. Moya Barbera et al. 10.1016/j.cscm.2024.e03004
- Quantitative Flood Risk Assessment in Drammenselva River, Norway S. Hailemariam & K. Alfredsen 10.3390/w15050920
- Development and assessment of uni- and multivariable flood loss models for Emilia-Romagna (Italy) F. Carisi et al. 10.5194/nhess-18-2057-2018
- Testing empirical and synthetic flood damage models: the case of Italy M. Amadio et al. 10.5194/nhess-19-661-2019
- Multivariate Flood Loss Estimation of the 2018 Bago Flood in Myanmar W. Zin et al. 10.20965/jdr.2020.p0300
- A Bayesian network approach for multi-sectoral flood damage assessment and multi-scenario analysis R. Harris et al. 10.1016/j.crm.2022.100410
- Flood damage functions based on a single physics- and data-based impact parameter that jointly accounts for water depth and velocity T. Lazzarin et al. 10.1016/j.jhydrol.2022.127485
- Economic and Environmental Evaluation of a Single-Story Steel Building in Its Life Cycle: A Comprehensive Analysis S. Vela et al. 10.3390/su142114638
- Estimating direct economic impacts of severe flood events in Turkey (2015–2020) G. Koç et al. 10.1016/j.ijdrr.2021.102222
- Developing Flood Vulnerability Functions through Questionnaire Survey for Flood Risk Assessments in the Meghna Basin, Bangladesh I. Khairul et al. 10.3390/w14030369
14 citations as recorded by crossref.
- Probabilistic Assessment of Pluvial Flood Risk Across 20 European Cities: A Demonstrator of the Copernicus Disaster Risk Reduction Service for Pluvial Flood Risk in Urban Areas A. Essenfelder et al. 10.1142/S2382624X22400070
- Calculating Economic Flood Damage through Microscale Risk Maps and Data Generalization: A Pilot Study in Southern Italy G. Festa et al. 10.3390/su14106286
- Flood Depth‒Damage Curves for Spanish Urban Areas E. Martínez-Gomariz et al. 10.3390/su12072666
- Developing a multivariable lookup table function for estimating flood damages of rice crop in Vietnam using a secondary research approach N. Nguyen et al. 10.1016/j.ijdrr.2021.102208
- Characterization of damages in buildings after floods in Vega Baja County (Spain) in 2019. The case study of Almoradí municipality R. Moya Barbera et al. 10.1016/j.cscm.2024.e03004
- Quantitative Flood Risk Assessment in Drammenselva River, Norway S. Hailemariam & K. Alfredsen 10.3390/w15050920
- Development and assessment of uni- and multivariable flood loss models for Emilia-Romagna (Italy) F. Carisi et al. 10.5194/nhess-18-2057-2018
- Testing empirical and synthetic flood damage models: the case of Italy M. Amadio et al. 10.5194/nhess-19-661-2019
- Multivariate Flood Loss Estimation of the 2018 Bago Flood in Myanmar W. Zin et al. 10.20965/jdr.2020.p0300
- A Bayesian network approach for multi-sectoral flood damage assessment and multi-scenario analysis R. Harris et al. 10.1016/j.crm.2022.100410
- Flood damage functions based on a single physics- and data-based impact parameter that jointly accounts for water depth and velocity T. Lazzarin et al. 10.1016/j.jhydrol.2022.127485
- Economic and Environmental Evaluation of a Single-Story Steel Building in Its Life Cycle: A Comprehensive Analysis S. Vela et al. 10.3390/su142114638
- Estimating direct economic impacts of severe flood events in Turkey (2015–2020) G. Koç et al. 10.1016/j.ijdrr.2021.102222
- Developing Flood Vulnerability Functions through Questionnaire Survey for Flood Risk Assessments in the Meghna Basin, Bangladesh I. Khairul et al. 10.3390/w14030369
Latest update: 14 Dec 2024
Short summary
Floods are frequent natural hazards in Italy, triggering significant adverse consequences on the economy every year. Their impact is expected to worsen in the near future due to socio-economic development and climate variability. To be able to reduce the probability and magnitude of expected economic losses, flood risk managers need to be correctly informed about the potential damage from flood hazards. In this study, we have developed a new and accurate model for Italian residential buildings.
Floods are frequent natural hazards in Italy, triggering significant adverse consequences on the...
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