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Water 2017, 9(5), 313; doi:10.3390/w9050313

Flood Loss Models and Risk Analysis for Private Households in Can Tho City, Vietnam

1
GFZ German Research Centre for Geosciences, Section 5.4 Hydrology, 14473 Potsdam, Germany
2
Geography Department, Humboldt University, Berlin 12489, Germany
3
Southern Institute for Water Resources Research, Ho Chi Minh City 750062, Vietnam
*
Author to whom correspondence should be addressed.
Academic Editor: Giuseppe Tito Aronica
Received: 24 February 2017 / Revised: 17 April 2017 / Accepted: 24 April 2017 / Published: 29 April 2017
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Abstract

Vietnam has a long history and experience with floods. Flood risk is expected to increase further due to climatic, land use and other global changes. Can Tho City, the cultural and economic center of the Mekong delta in Vietnam, is at high risk of flooding. To improve flood risk analyses for Vietnam, this study presents novel multi-variable flood loss models for residential buildings and contents and demonstrates their application in a flood risk assessment for the inner city of Can Tho. Cross-validation reveals that decision tree based loss models using the three input variables water depth, flood duration and floor space of building are more appropriate for estimating building and contents loss in comparison with depth–damage functions. The flood risk assessment reveals a median expected annual flood damage to private households of US$3340 thousand for the inner city of Can Tho. This is approximately 2.5% of the total annual income of households in the study area. For damage reduction improved flood risk management is required for the Mekong Delta, based on reliable damage and risk analyses. View Full-Text
Keywords: flood risk; flood damage; residential building; household contents; validation; Mekong delta flood risk; flood damage; residential building; household contents; validation; Mekong delta
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Chinh, D.T.; Dung, N.V.; Gain, A.K.; Kreibich, H. Flood Loss Models and Risk Analysis for Private Households in Can Tho City, Vietnam. Water 2017, 9, 313.

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