160 likes | 405 Views
Sokolniki, Poland, 20 May 2010 ( Reuters ). Overview of issues related to flood impact data availability and interpretation. Laurens M. Bouwer. Data availability and interpretation. Purpose of data collection? Classification of flood impacts and costs Availability of data:
E N D
Sokolniki, Poland, 20 May 2010 (Reuters) Overview of issues related to flood impact data availabilityand interpretation Laurens M. Bouwer
Data availability and interpretation • Purpose of data collection? • Classification of flood impacts and costs • Availability of data: • What type of floods? • What type of impacts and costs? • Comparison with other hazard types • Interpretation
Costing typologies (1) Source: Jonkman et al. 2008, JFRM
Flood types • River flood • Flash flood • Coastal flood • Local inundation due to heavy rainfall/drainage problems • (Dam break)
Approaches for direct costs(some findings from FP7 ConHaz project) • Field data collection • Estimation methods • Classification approaches (e.g. sectors, building types) • Exposure and asset assessment • Susceptibility analysis (stage-damage models) Source: Kreibich and Bubeck in prep.
Data on direct damages(some findings from FP7 ConHaz project) • Object specific databases • FHRC database for the UK (synthetic) • HOWAS 21 • (primary) insurance data (insurance policy-specific) • Event specific databases • EM-DAT • NatCatSERVICE • Swiss Re Sigma • Swiss flood and landslide damage database • DFO Source: Kreibich and Bubeck in prep.
Data availability – availability of property insurance in Europe Source: Bouwer et al. 2007 (data from CEA 2005)
Data availability – uptake of property insurance in Europe Source: Bouwer et al. 2007 (data from CEA 2005)
Direct economic damages(some findings from FP7 ConHaz project) • No common terminology across hazards • More attention to river floods, compared to droughts, coastal floods, and alpine hazards • Limited availability of exposure data • Heterogeneous damage data • Lack of object specific data • Validation of models needed Source: Kreibich and Bubeck in prep.
Data interpretation • Feeding models for impacts (e.g. loss curves, models for indirect damages) • Comparison and ranking of events • Spatial variability (different vulnerabilities across Europe) • Temporal variability: time series analysis • Identification of variations • Trends: climatic and socioeconomic drivers
Interpretation: Trend analysis of natural hazards Source: Bouwer 2011, BAMS
Interpretation: Trend analysis of natural hazards • Most studies from USA, Asia; only two from Europe • Few studies on floods Source: Bouwer 2011, BAMS
Interpretation: trend analysis of natural hazards Source: Barredo 2009, NHESS
Some conclusions • Consideration of purpose of cost estimations • Limited data available on floods • Mostly event specific data(often unclear what costs are included) • Little object specific (related to insurance cover) • Most attention to river floods (compared to coast, flash floods, local inundation) • Costing requires more information and analysis/modelling, beyond direct impact data
More information: • Project websites: conhaz.org www.adaptation.nl • E-mail:laurens.bouwer@ivm.vu.nl