Urban Flood Loss Estimation and Evacuation Design Based on a 500-Year Extreme Flood Event in Syracuse City

Autor: Yunrui Si, Junli Li, Youbin Si

Publikováno v: Water; Volume 15; Issue 1; Pages: 3

To understand the potential risk of flooding in Syracuse City, New York State, USA, this research attempted to accomplish the flood hazard assessment for a simulated 500-year flood event in the downstream floodplain of Onondaga Creek within Syracuse.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f82097dff45585af8fbc543fa9bafa5
https://doi.org/10.3390/w15010003

A Robust and Transferable Model for the Prediction of Flood Losses on Household Contents

Autor: Margreth Keiler, Linda Frossard, Andreas Paul Zischg, Markus Mosimann, Rolf Weingartner

Publikováno v: Water, Vol 10, Iss 11, p 1596 (2018)
Water
Volume 10
Issue 11
Mosimann, Markus; Frossard, Linda; Keiler, Margreth; Weingartner, Rolf; Zischg, Andreas Paul (2018). A Robust and Transferable Model for the Prediction of Flood Losses on Household Contents. Water, 10(11), p. 1596. MDPI 10.3390/w10111596

Beside the flood hazard analysis, a comprehensive flood risk assessment requires the analysis of the exposure of values at risk and their vulnerability. Currently, the main focus of such analysis is on losses on building structure. However, loss on h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdf8d928186f3d2403950ed81246c90f
https://www.mdpi.com/2073-4441/10/11/1596

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Multi-Variate Analyses of Flood Loss in Can Tho City, Mekong Delta

Autor: Kreibich, Do Chinh, Animesh Gain, Nguyen Dung, Dagmar Haase, Heidi

Publikováno v: Water; Volume 8; Issue 1; Pages: 6

Floods in the Mekong delta are recurring events and cause substantial losses to the economy. Sea level rise and increasing precipitation during the wet season result in more frequent floods. For effective flood risk management, reliable losses and ri

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::a93834e5b765473a85f096f855782e18

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