Articles | Volume 20, issue 7
https://doi.org/10.5194/nhess-20-2067-2020
https://doi.org/10.5194/nhess-20-2067-2020
Research article
 | 
31 Jul 2020
Research article |  | 31 Jul 2020

A generic physical vulnerability model for floods: review and concept for data-scarce regions

Mark Bawa Malgwi, Sven Fuchs, and Margreth Keiler

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Cited articles

Adelekan, I., Johnson, C., Manda, M., Matyas, D., Mberu, B., Parnell, S., Pelling, M., Satterthwaite, D., and Vivekananda, J.: Disaster risk and its reduction: an agenda for urban Africa, Int. Dev. Plan. Rev., 37, 33–43, https://doi.org/10.3828/idpr.2015.4, 2015. 
Adeleye, B., Popoola, A., Sanni, L., Zitta, N., and Ayangbile, O.: Poor development control as flood vulnerability factor in Suleja, Nigeria, T. Reg. Plan., 74, 23–35, https://doi.org/10.18820/2415-0495/trp74i1.3, 2019. 
Akukwe, T. I. and Ogbodo, C.: Spatial analysis of vulnerability to flooding in Port Harcourt metropolis, Nigeria, SAGE Open, 5, https://doi.org/10.1177/2158244015575558, 2015. 
Asadzadeh, A., Kötter, T., Salehi, P., and Birkmann, J.: Operationalizing a concept: The systematic review of composite indicator building for measuring community disaster resilience, Int. J. Disast. Risk Re., 25, 147–162, https://doi.org/10.1016/j.ijdrr.2017.09.015, 2017. 
Attems, M.-S., Schlögl, M., Thaler, T., Rauter, M., and Fuchs, S.: Risk communication and adaptive behaviour in flood-prone areas of Austria: A Q-methodology study on opinions of affected homeowners, PLoS one, 15, e0233551, https://doi.org/10.1371/journal.pone.0233551, 2020a. 
Short summary
Mitigation planning and economic loss assessment generally rely on flood damage prediction models. However, unavailability of empirical data has limited the use of such models in data-scarce areas. This paper combines the vulnerability indicator and damage grade approach to develop a conceptual framework for predicting building damage in data-scarce regions. The framework can be implemented using only expert knowledge and facilitates transferability of flood damage models in data-scarce areas.
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