adapt project: towards an integrated decision tool for adaptation measures case study: floods
DESCRIPTION
ADAPT Project: Towards an integrated decision tool for adaptation measures Case study: floods. Economic aspects Fourth Follow Up Committee Meeting Uccle, 12 November 2008 Eve Giron CEESE-ULB Delphine Sacré CEESE-ULB Walter Hecq CEESE-ULB. Some reminders - PowerPoint PPT PresentationTRANSCRIPT
ADAPT Project: Towards an integrated decision tool for
adaptation measuresCase study: floods
Economic aspectsFourth Follow Up Committee Meeting
Uccle, 12 November 2008Eve Giron CEESE-ULB
Delphine Sacré CEESE-ULBWalter Hecq CEESE-ULB
Economic damage categories
DirectIndirect
Tangible Tangible IntangibleIntangible
A) Some reminders Identification of categories of flood damage
- Buildings- Household goods- Cars- …
- Loss of life- Biodiversity loss- Spread of pollution & toxics- Stress / disruption of households & populations-Quality loss of water-…
- Production losses- Market disturbances- Impact on land values- Lost income- …
- Reduced competitiveness- Increased vulnerability of economic actors- Worry about the future- Stress- …
Physical water contact
No physical water contact
A) Some reminders Identification of categories of flood damage
Statistical analysis Heavy rains from 25 January to 28 February 2002 (Ourthe)
Jan - Feb 2002Esneux
Housing € Number
Household goods € Number
Business € Number
Total € Number
Souverain Pré 1.028 2 731 1 - - 1.759 3
Hony 35.227 26 25.900 25 947 1 62.074 52
Méry 5.624 10 4.784 6 5.266 1 15.674 17
Tilff 8.697 9 1.561 3 12.747 1 23.005 13
Total 50.576 47 32.976 35 18.960 3 102.511 85
B) State of progress : Damage functions (buildings)
•Literature analyses
Y = 2*x² + 2*x « Atlas du Rhin 2001 »
Y = HV * ² wd “B. Büchele & al., 2006”
Y = 7119,37 * wd + 12988,66 Collection “étude & synthèse”
Y = damages (in relative or absolute term)X = wd (m)Wd = Water depth (m)HV = House value (€)
Y = 2x2 + 2x
•Adaptation with database of our case studies and choice of the damage function
x = water level recorded during the flood in “m” Y = damage percentage in % (Example of the study of « Atlas du Rhin 2001 »)
•Estimation of the house value (HV) ( Relative Absolute)
Y = (2x2 + 2x )*HV/100
•Validation with real data (Disaster Fund)
B) State of progress : Damage functions
B) State of progress: Estimation of the house value
A) House value
• First idea: cadastral income (CI) not representative
Real value = CI / 5,3 %
• Empirical functions :
HV (€) = 125000 + 112 * CI (€) HV (€) = S (m²) * 39,4 (€/m²) * 33 C F = 0,6
B) Damage functions : Results
€
Thank you for your attention
B) Damage functions : Results Map of economic damages
Extend degree :
The ADAPT-project