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The 2011 flood event in the Mekong Delta: preparedness, response, damage and recovery of private households and small businesses

  • Floods frequently cause substantial economic and human losses, particularly in developing countries. For the development of sound flood risk management schemes that reduce flood consequences, detailed insights into the different components of the flood risk management cycle, such as preparedness, response, flood impact analyses and recovery, are needed. However, such detailed insights are often lacking: commonly, only (aggregated) data on direct flood damage are available. Other damage categories such as losses owing to the disruption of production processes are usually not considered, resulting in incomplete risk assessments and possibly inappropriate recommendations for risk management. In this paper, data from 858 face-to-face interviews among flood-prone households and small businesses in Can Tho city in the Vietnamese Mekong Delta are presented to gain better insights into the damage caused by the 2011 flood event and its management by households and businesses.

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Author details: Do Thi Chinh, Philip BubeckORCiDGND, Nguyen Viet Dung, Heidi KreibichORCiDGND
DOI:https://doi.org/10.1111/disa.12171
ISSN:0361-3666
ISSN:1467-7717
Title of parent work (English):Disasters : the journal of disaster studies, policy and management
Publisher:Wiley-Blackwell
Place of publishing:Hoboken
Publication type:Article
Language:English
Year of first publication:2016
Publication year:2016
Release date:2020/03/22
Tag:Can Tho; Mekong Delta; Vietnam; flood damage; flood loss; flood risk management; floods
Volume:40
Number of pages:26
First page:753
Last Page:778
Funding institution:German Ministry of Education and Research (BMBF); Vietnamese Ministry of Science and Technology (MOST)
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften
Peer review:Referiert
Institution name at the time of the publication:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Erd- und Umweltwissenschaften
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