TY - JOUR
T1 - Storm surge damage to residential areas
T2 - a quantitative analysis for Hurricane Sandy in comparison with FEMA flood map
AU - Xian, Siyuan
AU - Lin, Ning
AU - Hatzikyriakou, Adam
N1 - Funding Information:
This research was supported by NSF Grant CMMI-1314649 and the Project X Fund of Princeton University’s School of Engineering and Applied Science. The damage survey team included Ning Lin, Margaret Owensby, Emmi Yonekura, Luca Nagy, and Jonathan Glassman from Princeton University and Andrew Kennedy, Richard Estes, Tori Tomiczek, and Trenton Jackson from University of Notre Dame.
Publisher Copyright:
© 2015, Springer Science+Business Media Dordrecht.
PY - 2015/8/22
Y1 - 2015/8/22
N2 - A quantitative assessment of storm surge damage is used to analyze structural vulnerability and evaluate the performance of flood risk mapping by the Federal Emergency Management Agency (FEMA). Using a survey of about 380 structures in heavily impacted Ortley Beach, New Jersey, following Hurricane Sandy (2012), we first assess component-level damage to each side and story of a structure based on a percentage scale. For each structure, these physical damage percentages are then integrated into a single indicator of overall damage—the economic loss ratio. These performance assessments are combined with building information to develop an integrated Geographic Information System database. This detailed database allows for a quantitative analysis of damage features and causes. Damage at the overall, story, side, and component levels all decrease as the distance to the coast increases, with most severely damaged houses concentrated in a near-shore region. Despite being heavily damaged however, this region was assessed as a low-risk zone according to FEMA’s current flood risk map. In contrast, a neighboring inland region which experienced significantly less damage was assigned as a high-risk zone. The preliminary new FEMA flood map for the area is improved by increasing the risk category for the near-shore region, but the fundamental problem, likely induced by insufficient wave modeling, needs to be addressed further. This study demonstrates a method of quantitatively assessing and documenting storm surge damage and applying the damage information to evaluate flood risk maps.
AB - A quantitative assessment of storm surge damage is used to analyze structural vulnerability and evaluate the performance of flood risk mapping by the Federal Emergency Management Agency (FEMA). Using a survey of about 380 structures in heavily impacted Ortley Beach, New Jersey, following Hurricane Sandy (2012), we first assess component-level damage to each side and story of a structure based on a percentage scale. For each structure, these physical damage percentages are then integrated into a single indicator of overall damage—the economic loss ratio. These performance assessments are combined with building information to develop an integrated Geographic Information System database. This detailed database allows for a quantitative analysis of damage features and causes. Damage at the overall, story, side, and component levels all decrease as the distance to the coast increases, with most severely damaged houses concentrated in a near-shore region. Despite being heavily damaged however, this region was assessed as a low-risk zone according to FEMA’s current flood risk map. In contrast, a neighboring inland region which experienced significantly less damage was assigned as a high-risk zone. The preliminary new FEMA flood map for the area is improved by increasing the risk category for the near-shore region, but the fundamental problem, likely induced by insufficient wave modeling, needs to be addressed further. This study demonstrates a method of quantitatively assessing and documenting storm surge damage and applying the damage information to evaluate flood risk maps.
KW - FEMA flood map
KW - Hurricane Sandy
KW - Storm surge damage
KW - Structural vulnerability
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U2 - 10.1007/s11069-015-1937-x
DO - 10.1007/s11069-015-1937-x
M3 - Article
AN - SCOPUS:84947036935
SN - 0921-030X
VL - 79
SP - 1867
EP - 1888
JO - Natural Hazards
JF - Natural Hazards
IS - 3
ER -