The Storm Surge and Sub-Grid Inundation Modeling in New York City during Hurricane Sandy

Wang, Harry V.; Loftis, Jon Derek; Liu, Zhuo; Forrest, David R.; Zhang, Joe

doi:10.3390/jmse2010226

Cited by 82 publications

(60 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The National Weather Service has models that can predict flood height with a 20% relative error (Forbes et al 2014), suggesting that infrastructures and barriers can be built to withstand future severe hurricanes. Other models have also been developed to predict storm surges (Drews and Galarneau 2015; Wang et al 2014). Thus, the science is available to provide height thresholds for dunes, and thresholds for the width of salt marshes that are protective.…”

Section: Discussionmentioning

confidence: 99%

Perceptions of severe storms, climate change, ecological structures and resiliency three years post-hurricane Sandy in New Jersey

Burger

Gochfeld

2017

Urban Ecosyst

View full text Add to dashboard Cite

Global warming is leading to increased frequency and severity of storms that are associated with flooding, increasing the risk to urban, coastal populations. This study examined perceptions of the relationship between severe storms, sea level rise, climate change and ecological barriers by a vulnerable environmental justice population in New Jersey. Patients using New Jersey’s Federally Qualified Health Centers were interviewed after Hurricane [Superstorm] Sandy because it is essential to understand the perceptions of uninsured, underinsured, and economically challenged people to better develop a resiliency strategy for the most vulnerable people. Patients (N = 355) using 6 centers were interviewed using a structured interview form. Patients were interviewed in the order they entered the reception area, in either English or Spanish. Respondents were asked to rate their agreement with environmental statements. Respondents 1) agreed with experts that “severe storms were due to climate change”, “storms will come more often”, and that “flooding was due to sea level rise”, 2) did not agree as strongly that “climate change was due to human activity”, 3) were neutral for statements that “Sandy damages were due to loss of dunes or salt marshes”. 4) did not differ as a function of ethnic/racial categories, and 5) showed few gender differences. It is imperative that the public understand that climate change and sea level rise are occurring so that they support community programs (and funding) to prepare for increased frequency of storms and coastal flooding. The lack of high ratings for the role of dunes and marshes in preventing flooding indicates a lack of understanding that ecological structures protect coasts, and suggests a lack of support for management actions to restore dunes as part of a coastal preparedness strategy. Perceptions that do not support a public policy of coastal zone management to protect coastlines can lead to increased flooding, extensive property damages, and injuries or loss of life.

show abstract

Section: Discussionmentioning

confidence: 99%

Perceptions of severe storms, climate change, ecological structures and resiliency three years post-hurricane Sandy in New Jersey

Burger

Gochfeld

2017

Urban Ecosyst

View full text Add to dashboard Cite

show abstract

“…SELFE is the Semi-implicit Eulerian-Lagrangian finite-element model and has been widely used for simulating tsunami propagation [24], assessing water quality and ecosystem dynamics [25], evaluating oil spill dynamics [26], generating inundation maps [27], and inundation modeling of extreme river flow, typhoons, and hurricanes [28,29].…”

Section: Hydrodynamic Modelmentioning

confidence: 99%

Maximum Storm Tide Response to the Intensity of Typhoons and Bathymetric Changes along the East Coast of Taiwan

Liu¹,

Chen²,

Lin³

2017

Preprint

View full text Add to dashboard Cite

A typhoon-induced storm surge is considered one of the most severe coastal disasters in Taiwan. However, the combination of the storm surge and the astronomical tide called the storm tide can actually cause extreme flooding in coastal areas. This study implemented a two-dimensional hydrodynamic model to account for the interaction between tides and storm surges on the coast of Taiwan. The model was validated with observed water levels at Sauo Fish Port, Hualien Port, and Chenggong Fish Port under different historical typhoon events. The model results are in reasonable agreement with the measured data. The validated model was then used to evaluate the effects of the typhoon's intensity, bathymetric change, and the combination of the typhoon's intensity and bathymetric change on the maximum storm tide and its distribution along the east coast of Taiwan. The results indicated that the maximum storm tide rises to 1.92 m under a typhoon with an intensity of a 100-year return period. The maximum storm tide increased from a baseline of 1.26 m to 2.63 m for a 90% bathymetric rise at Sauo Fish Port under the conditions of Typhoon Jangmi (2008). The combination of the intensity of a typhoon with a 100-year return period and a 90% bathymetric rise will result in a maximum storm tide exceeding 4 m, 2 m, and 3 m at Sauo Fish Port, Hualien Port, and Chenggong Fish Port, respectively. We also found that the distribution of the maximum storm tide on the east coast of Taiwan can expand significantly subject to the bathymetric rise.

show abstract

“…Generally, these models combine a hazard model, which characterizes the intensity of the event, a susceptibility model, which describes the exposure of the subject area, and a damage model, which estimates the financial cost. In the same way, some specific models have been developed for storm surge, especially for tropical cyclones in America (Genovese et al, 2011;Wang et al, 2014) or in the Netherlands -dealing with the problematic nature of polder areas (de Moel et al, 2012;Bouwer et al, 2009). These models are most often concerned with the global economic cost, but some more specific works have concentrated on the insurance cost.…”

Section: Introductionmentioning

confidence: 99%

Estimation of insurance-related losses resulting from coastal flooding in France

Naulin¹,

Moncoulon²,

Roy

et al. 2016

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract.A model has been developed in order to estimate insurance-related losses caused by coastal flooding in France. The deterministic part of the model aims at identifying the potentially flood-impacted sectors and the subsequent insured losses a few days after the occurrence of a storm surge event on any part of the French coast. This deterministic component is a combination of three models: a hazard model, a vulnerability model, and a damage model. The first model uses the PREVIMER system to estimate the water level resulting from the simultaneous occurrence of a high tide and a surge caused by a meteorological event along the coast. A storage-cell flood model propagates these water levels over the land and thus determines the probable inundated areas. The vulnerability model, for its part, is derived from the insurance schedules and claims database, combining information such as risk type, class of business, and insured values. The outcome of the vulnerability and hazard models are then combined with the damage model to estimate the event damage and potential insured losses. This system shows satisfactory results in the estimation of the magnitude of the known losses related to the flood caused by the Xynthia storm. However, it also appears very sensitive to the water height estimated during the flood period, conditioned by the junction between seawater levels and coastal topography, the accuracy for which is still limited by the amount of information in the system.

show abstract

The Storm Surge and Sub-Grid Inundation Modeling in New York City during Hurricane Sandy

Cited by 82 publications

References 14 publications

Perceptions of severe storms, climate change, ecological structures and resiliency three years post-hurricane Sandy in New Jersey

Perceptions of severe storms, climate change, ecological structures and resiliency three years post-hurricane Sandy in New Jersey

Maximum Storm Tide Response to the Intensity of Typhoons and Bathymetric Changes along the East Coast of Taiwan

Estimation of insurance-related losses resulting from coastal flooding in France

Contact Info

Product

Resources

About