Flood losses in private households: Analysis of influencing factors and implications for flood loss modelling

IAHS-AISH Publication

Volumn , Issue 317, 2007, Pages 312-316

  Thieken, Annegret H ^a   Kreibich, Heidi ^a   Meike Muller ^b   Nicklisch, Matthias ^a   Merz, Bruno ^a  

^a GFZ GERMAN RESEARCH CENTRE FOR GEOSCIENCES   (Germany)

^b Deutsche Ruckversicherung AG   (Germany)

Author keywords

Elbe; Flood damage; Flow velocity; Germany; Hydrological impact; Private households

Indexed keywords

CLUSTER ANALYSIS; FLOOD DAMAGE; FLOODS; FLOW VELOCITY; INFORMATION MANAGEMENT; NEURAL NETWORKS; WATER ANALYSIS; WATER LEVELS; WATER POLLUTION;

ELBE; FLOOD DURATIONS; FLOOD LOSSES; FLOOD WATERS; GERMANY; HYDROLOGICAL IMPACT; IMPACT VARIABLES; INFLUENCING FACTORS; PRIVATE HOUSEHOLDS;

WATER RESOURCES;

CLUSTER ANALYSIS; FLOOD DAMAGE; FLOW VELOCITY; HYDROLOGICAL CHANGE;

EID: 55849100418     PISSN: 01447815     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. Kreibich, H., Thieken, A. H. Petrow, T., Müller, M. & Merz, B. (2005) Flood loss reduction of private households due to building retrofitting - Lessons learned from the Elbe floods in August 2002. NHESS 5, 117-126.
3. Merz, B., Kreibich, H. Thieken, A. & Schmidtke, R. (2004) Estimation uncertainty of direct monetary flood damage to buildings. NHESS 4(1), 153-163.
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7. Zhai, G., Fukuzono, T. & Ikeda, S. (2005) Modeling flood damage: case of Tokai Flood 2000. J. Am. Water Resour. Assoc. 41(1), 77-92.