TY - GEN
T1 - Estimating joint return periods for flooding due to storm surge
AU - De León, Alicia E.Díaz
AU - Hatzikyriakou, Adam
AU - Lin, Ning
N1 - Publisher Copyright:
© 2018 American Society of Civil Engineers.
PY - 2018
Y1 - 2018
N2 - Exposure to coastal flooding has traditionally been studied by estimating the likelihood of flooding at a single location using return level curves. While a cornerstone of flood risk analysis, this approach neglects the spatial impact of flood events capable of affecting assets over large areas simultaneously. Understanding the joint likelihood of flooding at multiple locations is important when studying critical infrastructure systems comprising interdependent networks of energy, fuel, and water systems. Recent events such as Superstorm Sandy (2012), which led to power outages to over 8.5 million customers and severe fuel shortages, highlight the devastating consequences of cascading failures both within and across infrastructures systems due to flooding. In this study, a bivariate copula is used to estimate the joint return period of storm surge flooding at two locations flooded during Sandy (the East 14 Con Edison electrical substation and the Port Reading Hess refinery). The analysis is based on simulated storm surge from a database of 566 synthetic cyclone events.
AB - Exposure to coastal flooding has traditionally been studied by estimating the likelihood of flooding at a single location using return level curves. While a cornerstone of flood risk analysis, this approach neglects the spatial impact of flood events capable of affecting assets over large areas simultaneously. Understanding the joint likelihood of flooding at multiple locations is important when studying critical infrastructure systems comprising interdependent networks of energy, fuel, and water systems. Recent events such as Superstorm Sandy (2012), which led to power outages to over 8.5 million customers and severe fuel shortages, highlight the devastating consequences of cascading failures both within and across infrastructures systems due to flooding. In this study, a bivariate copula is used to estimate the joint return period of storm surge flooding at two locations flooded during Sandy (the East 14 Con Edison electrical substation and the Port Reading Hess refinery). The analysis is based on simulated storm surge from a database of 566 synthetic cyclone events.
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U2 - 10.1061/9780784482018.079
DO - 10.1061/9780784482018.079
M3 - Conference contribution
AN - SCOPUS:85091699218
T3 - Forensic Engineering 2018: Forging Forensic Frontiers - Proceedings of the 8th Congress on Forensic Engineering
SP - 818
EP - 826
BT - Forensic Engineering 2018
A2 - Liu, Rui
A2 - Lester, Michael P.
A2 - Diaz de Leon, Alicia E.
A2 - Drerup, Michael J.
PB - American Society of Civil Engineers (ASCE)
T2 - 8th Congress on Forensic Engineering 2018: Forging Forensic Frontiers
Y2 - 29 November 2018 through 2 December 2018
ER -