Damage to residential buildings due to flooding of New Orleans after hurricane Katrina

Pistrika, AK; Jonkman, SN

dc.contributor.author	Pistrika, AK	en
dc.contributor.author	Jonkman, SN	en
dc.date.accessioned	2014-03-01T01:33:06Z
dc.date.available	2014-03-01T01:33:06Z
dc.date.issued	2010	en
dc.identifier.issn	0921-030X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/20321
dc.subject	Damage	en
dc.subject	Damage function	en
dc.subject	Depth-velocity product	en
dc.subject	Flooding	en
dc.subject	Hurricane Katrina	en
dc.subject	New Orleans	en
dc.subject	Residential buildings	en
dc.subject.classification	Geosciences, Multidisciplinary	en
dc.subject.classification	Meteorology & Atmospheric Sciences	en
dc.subject.classification	Water Resources	en
dc.subject.other	building	en
dc.subject.other	damage mechanics	en
dc.subject.other	flood damage	en
dc.subject.other	flooding	en
dc.subject.other	Hurricane Katrina 2005	en
dc.subject.other	natural disaster	en
dc.subject.other	neighborhood	en
dc.subject.other	statistical analysis	en
dc.subject.other	Louisiana	en
dc.subject.other	New Orleans	en
dc.subject.other	United States	en
dc.title	Damage to residential buildings due to flooding of New Orleans after hurricane Katrina	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s11069-009-9476-y	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s11069-009-9476-y	en
heal.language	English	en
heal.publicationDate	2010	en
heal.abstract	This article analyzes the direct damage to residential buildings caused by the flooding of New Orleans after hurricane Katrina in the year 2005. A public dataset has been analyzed that contains information on the economic damage levels for approximately 95,000 residential buildings in the flooded area. The relationship between the flood characteristics and economic damage to residential buildings has been investigated. Results of hydrodynamic flood simulations have been used that give insight in water depths and flow velocities in the study area. In general, differences between the three polders in the observed distributions of damage estimates are related to differences in flood conditions. The highest damage percentages and structural damage mainly occurred in areas where higher flow velocities occurred, especially near the breaches in the Lower 9th Ward neighborhood. Further statistical analysis indicated that there is not any strong one-to-one relationship between the damage percentage and the water depth or the depth-velocity product. This suggests that there is considerable uncertainty associated with stage-damage functions, especially when they are applied to individual structures or smaller clusters of buildings. Based on the data, a more general approach has been proposed that could be used to distinguish different damage zones based on water depth and flow velocity for an area that is affected by flooding due to breaching of flood defenses. Further validation of existing damage models with the dataset and further inclusion of information on building type in the analysis of damage levels is recommended. © 2009 Springer Science+Business Media B.V.	en
heal.publisher	SPRINGER	en
heal.journalName	Natural Hazards	en
dc.identifier.doi	10.1007/s11069-009-9476-y	en
dc.identifier.isi	ISI:000280960400014	en
dc.identifier.volume	54	en
dc.identifier.issue	2	en
dc.identifier.spage	413	en
dc.identifier.epage	434	en