TY - GEN
T1 - Estimating population risk for coastal disasters using spatial models with global data
AU - Gorokhovich, Yuri
AU - Doocy, Shannon
PY - 2008
Y1 - 2008
N2 - Coastal areas present high risk in case of tsunami, hurricanes or floods due to the higher population densities. Traditional physical models or risk maps provide limited help since disaster spatial extent can not be available immediately for the emergency management. This impairs post- disaster response; more fatalities can be expected due to the uneven distribution of medical supplies, food or equipment. Geographic Information Systems analysis with global datasets on terrain and population provides new venue for the post-disaster response in the form of immediate (within 24 - 96 hours) model of affected population and geographical extent of disaster. Presented case study shows such example for the Northern Sumatra affected by tsunami of 2004. The results of presented modeling were compared with population data collected from the post- tsunami field survey. Obtained regression is statistically meaningful (R2 =0.58) and indicates that presented methodology can be a useful tool during the post-disaster management. Copyright ASCE 2008.
AB - Coastal areas present high risk in case of tsunami, hurricanes or floods due to the higher population densities. Traditional physical models or risk maps provide limited help since disaster spatial extent can not be available immediately for the emergency management. This impairs post- disaster response; more fatalities can be expected due to the uneven distribution of medical supplies, food or equipment. Geographic Information Systems analysis with global datasets on terrain and population provides new venue for the post-disaster response in the form of immediate (within 24 - 96 hours) model of affected population and geographical extent of disaster. Presented case study shows such example for the Northern Sumatra affected by tsunami of 2004. The results of presented modeling were compared with population data collected from the post- tsunami field survey. Obtained regression is statistically meaningful (R2 =0.58) and indicates that presented methodology can be a useful tool during the post-disaster management. Copyright ASCE 2008.
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U2 - 10.1061/40968(312)28
DO - 10.1061/40968(312)28
M3 - Conference contribution
AN - SCOPUS:57649244178
SN - 9780784409688
T3 - Solutions to Coastal Disasters Congress 2008 - Proceedings of the Solutions to Coastal Disasters Congress 2008
SP - 308
EP - 317
BT - Solutions to Coastal Disasters Congress 2008 - Proceedings of the Solutions to Coastal Disasters Congress 2008
PB - ASCE - American Society of Civil Engineers
T2 - Solutions to Coastal Disasters Congress 2008
Y2 - 13 April 2008 through 16 April 2008
ER -