Component-Based Vulnerability Analysis for Residential Structures Subjected to Storm Surge Impact from Hurricane Sandy

Hatzikyriakou, Adam; Lin, Ning; Gong, Jie; Xian, Siyuan; Hu, Xuan; Kennedy, Andrew

doi:10.1061/(asce)nh.1527-6996.0000205

Cited by 74 publications

(40 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The coastal region, due to the coupling effects of climate change and rapid population growth [3], is especially prone to flooding. Recent hurricanes serve as vivid reminders of how devastating hurricaneinduced flooding can be to coastal communities [4][5][6]. In a changing climate, hurricane-induced coastal flooding is projected to become more often and intensive in decades to come [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Predicting support for flood mitigation based on flood insurance purchase behavior

Shao

Feng

Lin

2019

Environ. Res. Lett.

Self Cite

View full text Add to dashboard Cite

What is the decision-making mechanism people rely upon to mitigate flood risk? Applying Bayesian Network modeling to a comprehensive survey dataset for the US Gulf Coast, we find that the overall support for flood mitigation can be inferred from flood insurance purchase behavior (i.e. without insurance versus with insurance purchased mandatorily, voluntarily, or both). Therefore, we propose a theoretical decision-making mechanism composed of two dimensions including informed flood risk and sense of insecurity. The informed flood risk is the primary determinant on one's overall support for flood mitigation. Risk mitigation decisions are largely contingent on the level of risk that is effectively conveyed to individuals. Additionally, sense of insecurity plays a moderate role in determining individuals' overall support for flood mitigation. The sense of insecurity can move people toward overall support for mitigation, but the effect is not as large as the informed risk. Results of this study have fundamental policy implications. The flood risk informed by Federal Emergency Management Agency's flood maps not only provides the compulsory basis for flood insurance purchase but also determines individuals' overall support for flood mitigation. Flood map inaccuracy can immensely mislead individuals' overall risk mitigation decision. Meanwhile, this flood risk mitigation decision-making mechanism inferred from a survey data in the US Gulf Coast needs to be tested and validated elsewhere.

show abstract

Section: Introductionmentioning

confidence: 99%

Predicting support for flood mitigation based on flood insurance purchase behavior

Shao

Feng

Lin

2019

Environ. Res. Lett.

Self Cite

View full text Add to dashboard Cite

show abstract

“…This can disrupt sediment transport and undermine natural landforms, like beaches and salt marshes offering protective features, with associated land loss and environmental degradation. In urban areas, coastal erosion and flooding can severely damage structures, and if unchecked, can undermine foundations, ultimately leading to building collapse, as shown during Hurricane Sandy for the New Jersey and New York regions (Hatzikyriakou et al, 2016;Hatzikyriakou and Lin, 2018).…”

Section: Increased Beach Erosionmentioning

confidence: 99%

New York City Panel on Climate Change 2019 Report Chapter 3: Sea Level Rise

Gornitz

Oppenheimer

Kopp

et al. 2019

Annals of the New York Academy of Sciences

Self Cite

View full text Add to dashboard Cite

“…Figure 5b shows hydro-static pressures applied to the wall when Z a ≥ h. Z a is the equivalent overtopping runup height on the wall (m), as defined in Equation (3), and h is the floor height (m). The maximum hydro-static pressure q w,max (KN/m 2 ), minimum hydro-static pressure q w,min (KN/m 2 ) and the average pressure q avg (KN/m 2 ) are shown in Equations (4)- (6). When Z a < h, q w,min = 0, the equivalent average hydro-static pressure over the entire wall plate is expressed as shown in Equation (6).…”

Section: Equivalent Static Loadmentioning

confidence: 99%

“…The maximum hydro-static pressure q w,max (KN/m 2 ), minimum hydro-static pressure q w,min (KN/m 2 ) and the average pressure q avg (KN/m 2 ) are shown in Equations (4)- (6). When Z a < h, q w,min = 0, the equivalent average hydro-static pressure over the entire wall plate is expressed as shown in Equation (6). Therefore, the average pressure of a wall plate q avg,S can be used to replace q k as the characteristic lateral load of a wall when it withstands hydraulic load.…”

Section: Equivalent Static Loadmentioning

confidence: 99%

“…There are no relevant data of the direct damage from wave runup overtopping on waterfront buildings either in reality or site model tests. Even though relevant research has been done for wave impacts of tsunamis [4] and surges [5,6] on coastal buildings, to the authors' knowledge, a method to assess the damage due to the runup of overtopping waves on structures on coastal dikes has not been formulated yet. y Offshore waves coming into the shallow foreshore area, increasing wave height.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Vulnerability of Buildings on Coastal Dikes due to Wave Overtopping

Chen

Jonkman

Pasterkamp

et al. 2017

Water

View full text Add to dashboard Cite

Abstract:The vulnerability of buildings on coastal dikes due to overtopping wave impacts is difficult to assess. A method is developed in this paper to quantify the vulnerability of masonry buildings on a coastal dike exposed to wave overtopping. Using previous studies, the accidental loads due to the extreme wave impacts are characterized. Using the approach from Eurocode 6, the strength of masonry buildings under these loads is assessed. Results from a case study in Belgium show that masonry buildings located 10-15 m away from the seafront would suffer from localized damage, such as windows being broken under a 1000 year storm. The building would collapse under a 10,000-year storm. The method can be used to assess the safety of existing buildings on coastal dikes and to design new buildings.

show abstract

Component-Based Vulnerability Analysis for Residential Structures Subjected to Storm Surge Impact from Hurricane Sandy

Cited by 74 publications

References 26 publications

Predicting support for flood mitigation based on flood insurance purchase behavior

Predicting support for flood mitigation based on flood insurance purchase behavior

New York City Panel on Climate Change 2019 Report Chapter 3: Sea Level Rise

Vulnerability of Buildings on Coastal Dikes due to Wave Overtopping

Contact Info

Product

Resources

About