Sensitivity of flood loss estimates to building representation and flow depth attribution methods in micro-scale flood modelling

Bermúdez, María; Zischg, Andreas Paul (2018). Sensitivity of flood loss estimates to building representation and flow depth attribution methods in micro-scale flood modelling. Natural Hazards, 92(3), pp. 1633-1648. Springer 10.1007/s11069-018-3270-7

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Thanks to modelling advances and the increase in computational resources in recent years, it is now feasible to perform 2-D urban flood simulations at very high spatial resolutions and to conduct flood risk assessments at the scale of single buildings. In this study, we explore the sensitivity of flood loss estimates obtained in such micro-scale analyses to the spatial representation of the buildings in the 2D flood inundation model and to the hazard attribution methods in the flood loss model. The results show that building representation has a limited effect on the exposure values (i.e. the number of elements at risk), but can have a significant impact on the hazard values attributed to the buildings. On the other hand, the two methods for hazard attribution tested in this work result in remarkably different flood loss estimates. The sensitivity of the predicted flood losses to the attribution method is comparable to the one associated with the vulnerability curve. The findings highlight the need for incorporating these sources of uncertainty into microscale flood risk prediction methodologies.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Geography
10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR)
Graduate Schools > Graduate School of the Humanities (GSH)
08 Faculty of Science > Institute of Geography > Physical Geography > Unit Hydrology
08 Faculty of Science > Institute of Geography > Physical Geography
10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR) > MobiLab

UniBE Contributor:

Zischg, Andreas Paul

Subjects:

500 Science > 550 Earth sciences & geology
900 History > 910 Geography & travel

ISSN:

0921-030X

Publisher:

Springer

Projects:

[245] Mobiliar Lab für Naturrisiken Official URL

Language:

English

Submitter:

Hélène Christine Louise Barras

Date Deposited:

03 May 2018 09:51

Last Modified:

05 Dec 2022 15:12

Publisher DOI:

10.1007/s11069-018-3270-7

Uncontrolled Keywords:

Inundation modeling, Micro-scale, Building representation, Flood loss estimation

BORIS DOI:

10.7892/boris.113678

URI:

https://boris.unibe.ch/id/eprint/113678

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