Abstract

Undeniably, climate-change-induced sea-level rise has served as a powerful driving force for the occurrence of coastal storms more severe than ever before. Low-lying metropolitan coastal areas, in particular, have become increasingly vulnerable to coastal flooding as a result of the rapid expansion of urbanization along flood-prone areas. Safeguarding coastal communities from the repercussions of flooding through the utilization of best management practices (BMPs) is one of the most effective ways of alleviating the situation. However, solely relying on inshore BMPs might not be the best possible approach when the storm event’s intensity can be reduced before the storm reaches the shoreline through the installment of offshore BMPs. Moreover, many recent studies have confirmed the cost-effectiveness and usefulness of natural elements, especially when combined with engineering solutions. This paper assesses the overall suitability and effectiveness of various combinations of nature-based inshore and offshore BMPs for coastal flood mitigation of storms with different intensities with applications to the Southern Brooklyn area in New York City. Moreover, inevitable conditions stemming from climate variability and change have made the assumption of stationary recurrence of extreme events unreliable. Furthermore, historical events of remarkable impacts have not been considered differently in the attainment of the flood design values. Thus, as one of the main objectives of this study, and in order to consider both, a nonstationary partial frequency analysis is utilized, including the major historical storms jointly with the precipitation data in the study area to obtain 100-year flood design values. To achieve the goals of the study, first, the offshore simulation was carried out using the Delft3D hydrodynamic model, developed by Deltares, in order to find the water level hydrograph for the ungauged areas of interest, with and without offshore BMPs followed by the simulation of the flood events on the inland coastal area using gridded surface subsurface hydrologic analysis (GSSHA), a module of the watershed modeling system (WMS) developed by the USACE, to assess the effectiveness of inshore BMPs. The proposed scenarios are tested against Superstorm Sandy, Hurricane Irene, and the 100-year flood hydrographs. The results showed a remarkable coastal flood wave height and water level reduction when integrating offshore and inshore green BMPs.

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Data Availability Statement

All input data used in this research can be found from the publicly available domains of the NOAA data center (http://www.ncdc.noaa.gov/data-access), the City of New York (http://data.cityofnewyork.us/Environment/Sandy-Inundation-Zone), New York City’s Zoning and Land Use Maps (http://zola.planning.nyc.gov), NOAA tides and current (http://tidesandcurrents.noaa.gov) and US Geological Survey (USGS) national map service (http://viewer.nationalmap.gov/basic). Some or all data, models, or codes that support this study’s findings are available from the corresponding author upon reasonable request.

Acknowledgments

The authors would like to express their gratitude to Ali Haji Elyasi, a Ph.D. Student at the University of Tehran, whose valuable participation in the modeling efforts, comments and suggestions have greatly improved the quality of this paper.

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Journal of Hydrologic Engineering
Volume 27Issue 10October 2022

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Received: Feb 9, 2022
Accepted: May 31, 2022
Published online: Aug 8, 2022
Published in print: Oct 1, 2022
Discussion open until: Jan 8, 2023

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Professor, School of Civil Engineering, Univ. of Tehran, Tehran 11155-4563, Iran (corresponding author). ORCID: https://orcid.org/0000-0002-6573-262X. Email: [email protected]
Research Assistant, School of Civil Engineering, Univ. of Tehran, Tehran 11155-4563, Iran. ORCID: https://orcid.org/0000-0002-8884-3752. Email: [email protected]
Sadaf Mahmoudi, S.M.ASCE [email protected]
Ph.D. Student, Dept. of Civil, Construction and Environmental Engineering, Univ. of Alabama, Tuscaloosa, AL 35487-0268. Email: [email protected]

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