Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.102
IF3.102
IF 5-year value: 3.284
IF 5-year
3.284
CiteScore value: 5.1
CiteScore
5.1
SNIP value: 1.37
SNIP1.37
IPP value: 3.21
IPP3.21
SJR value: 1.005
SJR1.005
Scimago H <br class='widget-line-break'>index value: 90
Scimago H
index
90
h5-index value: 42
h5-index42
Download
Short summary
INSYDE is a multivariable synthetic model for flood damage assessment of dwellings. The analysis and use of this model highlighted some weaknesses, linked to its complexity, that can undermine its usability and correct implementation. This study proposes a simplified version of INSYDE which maintains its multivariable and synthetic nature but has simpler mathematical formulations permitting an easier use and a direct analysis of the relation between damage and its explanatory variables.
Altmetrics
Final-revised paper
Preprint
NHESS | Articles | Volume 20, issue 11
Nat. Hazards Earth Syst. Sci., 20, 2937–2941, 2020
https://doi.org/10.5194/nhess-20-2937-2020
Nat. Hazards Earth Syst. Sci., 20, 2937–2941, 2020
https://doi.org/10.5194/nhess-20-2937-2020

Brief communication 05 Nov 2020

Brief communication | 05 Nov 2020

Brief Communication: Simple-INSYDE, development of a new tool for flood damage evaluation from an existing synthetic model

Marta Galliani et al.

Related authors

Are flood damage models converging to “reality”? Lessons learnt from a blind test
Daniela Molinari, Anna Rita Scorzini, Chiara Arrighi, Francesca Carisi, Fabio Castelli, Alessio Domeneghetti, Alice Gallazzi, Marta Galliani, Frédéric Grelot, Patric Kellermann, Heidi Kreibich, Guilherme S. Mohor, Markus Mosimann, Stephanie Natho, Claire Richert, Kai Schroeter, Annegret H. Thieken, Andreas Paul Zischg, and Francesco Ballio
Nat. Hazards Earth Syst. Sci., 20, 2997–3017, https://doi.org/10.5194/nhess-20-2997-2020,https://doi.org/10.5194/nhess-20-2997-2020, 2020
Short summary

Related subject area

Risk Assessment, Mitigation and Adaptation Strategies, Socioeconomic and Management Aspects
Multi-hazard risk assessment for roads: probabilistic versus deterministic approaches
Stefan Oberndorfer, Philip Sander, and Sven Fuchs
Nat. Hazards Earth Syst. Sci., 20, 3135–3160, https://doi.org/10.5194/nhess-20-3135-2020,https://doi.org/10.5194/nhess-20-3135-2020, 2020
Short summary
Are flood damage models converging to “reality”? Lessons learnt from a blind test
Daniela Molinari, Anna Rita Scorzini, Chiara Arrighi, Francesca Carisi, Fabio Castelli, Alessio Domeneghetti, Alice Gallazzi, Marta Galliani, Frédéric Grelot, Patric Kellermann, Heidi Kreibich, Guilherme S. Mohor, Markus Mosimann, Stephanie Natho, Claire Richert, Kai Schroeter, Annegret H. Thieken, Andreas Paul Zischg, and Francesco Ballio
Nat. Hazards Earth Syst. Sci., 20, 2997–3017, https://doi.org/10.5194/nhess-20-2997-2020,https://doi.org/10.5194/nhess-20-2997-2020, 2020
Short summary
A novel approach to assessing nuisance risk from seismicity induced by UK shale gas development, with implications for future policy design
Gemma Cremen and Maximilian J. Werner
Nat. Hazards Earth Syst. Sci., 20, 2701–2719, https://doi.org/10.5194/nhess-20-2701-2020,https://doi.org/10.5194/nhess-20-2701-2020, 2020
Short summary
Rapid flood risk screening model for compound flood events in Beira, Mozambique
Erik C. van Berchum, Mathijs van Ledden, Jos S. Timmermans, Jan H. Kwakkel, and Sebastiaan N. Jonkman
Nat. Hazards Earth Syst. Sci., 20, 2633–2646, https://doi.org/10.5194/nhess-20-2633-2020,https://doi.org/10.5194/nhess-20-2633-2020, 2020
Short summary
Trends in social vulnerability to storm surges in Shenzhen, China
Huaming Yu, Yuhang Shen, Ryan M. Kelly, Xin Qi, Kejian Wu, Songlin Li, Haiqing Yu, and Xianwen Bao
Nat. Hazards Earth Syst. Sci., 20, 2447–2462, https://doi.org/10.5194/nhess-20-2447-2020,https://doi.org/10.5194/nhess-20-2447-2020, 2020
Short summary

Cited articles

Amadio, M., Scorzini, A. R., Carisi, F., Essenfelder, A. H., Domeneghetti, A., Mysiak, J., and Castellarin, A.: Testing empirical and synthetic flood damage models: the case of Italy, Nat. Hazards Earth Syst. Sci., 19, 661–678, https://doi.org/10.5194/nhess-19-661-2019, 2019. 
Dottori, F., Figueiredo, R., Martina, M. L. V., Molinari, D., and Scorzini, A. R.: INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis, Nat. Hazards Earth Syst. Sci., 16, 2577–2591, https://doi.org/10.5194/nhess-16-2577-2016, 2016.  
Kreibich, H. and Dimitrova, B.: Assessment of damages caused by different flood types, WIT Transactions on Ecology and the Environment, 133, 3–11, https://doi.org/10.2495/FRIAR100011, 2010. 
Merz, B., Kreibich, H., Schwarze, R., and Thieken, A.: Review article “Assessment of economic flood damage”, Nat. Hazards Earth Syst. Sci., 10, 1697–1724, https://doi.org/10.5194/nhess-10-1697-2010, 2010. 
Molinari, D. and Scorzini, A.: On the influence of input data quality to flood damage estimation: The Performance of the INSYDE Model, Water, 9, 688, https://doi.org/10.3390/w9090688, 2017. 
Publications Copernicus
Download
Short summary
INSYDE is a multivariable synthetic model for flood damage assessment of dwellings. The analysis and use of this model highlighted some weaknesses, linked to its complexity, that can undermine its usability and correct implementation. This study proposes a simplified version of INSYDE which maintains its multivariable and synthetic nature but has simpler mathematical formulations permitting an easier use and a direct analysis of the relation between damage and its explanatory variables.
Citation
Altmetrics
Final-revised paper
Preprint