Application of STORMTOOLS Coastal Environmental Risk Index (CERI) to Inform State and Local Planning and Decision Making along the Southern RI Shoreline

STORMTOOLS coastal environmental risk index (CERI) was applied to communities located along the southern coast of Rhode Island (RI) to determine the risk to structures located in the flood plain. CERI uses estimates of the base flood elevation (BFE), explicitly including the effects of sea level ris...

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Published in:Journal of Marine Science and Engineering
Main Authors: Malcolm L. Spaulding, Annette Grilli, Chris Damon, Teresa Crean, Grover Fugate
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:https://doi.org/10.3390/jmse8040295
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spelling ftmdpi:oai:mdpi.com:/2077-1312/8/4/295/ 2023-08-20T04:08:35+02:00 Application of STORMTOOLS Coastal Environmental Risk Index (CERI) to Inform State and Local Planning and Decision Making along the Southern RI Shoreline Malcolm L. Spaulding Annette Grilli Chris Damon Teresa Crean Grover Fugate agris 2020-04-21 application/pdf https://doi.org/10.3390/jmse8040295 EN eng Multidisciplinary Digital Publishing Institute Ocean Engineering https://dx.doi.org/10.3390/jmse8040295 https://creativecommons.org/licenses/by/4.0/ Journal of Marine Science and Engineering; Volume 8; Issue 4; Pages: 295 coastal flooding inundation and waves coastal environmental risk index (CERI) flood insurance rate maps (FIRMs) coupled wave and surge modeling base flood elevation Text 2020 ftmdpi https://doi.org/10.3390/jmse8040295 2023-07-31T23:24:15Z STORMTOOLS coastal environmental risk index (CERI) was applied to communities located along the southern coast of Rhode Island (RI) to determine the risk to structures located in the flood plain. CERI uses estimates of the base flood elevation (BFE), explicitly including the effects of sea level rise (SLR); details on the structure types, from the E911 emergency data base/parcel data, and associated first floor elevation (FFE); and damage curves from the US Army Corp of Engineers North Atlantic Coast Comprehensive Study (NACCS) to determine the damages to structures for the study area. Surge levels and associated offshore waves used to determine BFEs were obtained from the NACCS hydrodynamic and wave model predictions. The impacts of sea level rise and coastal erosion on flooding were modeled using XBeach and STWAVE and validated by observations at selected locations along the coastline. CERI estimated the structural damage to each structure in the coastal flood plain for 100 yr flooding with SLR ranging from 0 to 10 ft. The number of structures at risk was estimated to increase approximate linearly from 3700 for no SLR to about 8000 for 10 ft SLR, with about equal percentages for each of the four coastal communities (Narragansett, South Kingstown, Charlestown, and Westerly, Rhode Island (RI)). The majority of the structures in the flood plain are single/story residences without (41%) and with (46%) basements (total 87%; structures with basements are the most vulnerable). Less vulnerable are structures elevated on piles with 8.8% of the total. The remaining are commercial structures principally located either in the Port of Galilee and or Watch Hill. The analysis showed that about 20% of the structures in the 100 yr flood plain are estimated to be damaged at 50% or greater. This increases to 55% of structures as SLR rises to 5 ft. At higher SLR values the percent damaged at 50% or greater slowly declines to 45% at 10 ft SLR. This behavior is a result of the number of homes below MSL increasing dramatically as ... Text North Atlantic MDPI Open Access Publishing Journal of Marine Science and Engineering 8 4 295
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic coastal flooding
inundation
and waves
coastal environmental risk index (CERI)
flood insurance rate maps (FIRMs)
coupled wave and surge modeling
base flood elevation
spellingShingle coastal flooding
inundation
and waves
coastal environmental risk index (CERI)
flood insurance rate maps (FIRMs)
coupled wave and surge modeling
base flood elevation
Malcolm L. Spaulding
Annette Grilli
Chris Damon
Teresa Crean
Grover Fugate
Application of STORMTOOLS Coastal Environmental Risk Index (CERI) to Inform State and Local Planning and Decision Making along the Southern RI Shoreline
topic_facet coastal flooding
inundation
and waves
coastal environmental risk index (CERI)
flood insurance rate maps (FIRMs)
coupled wave and surge modeling
base flood elevation
description STORMTOOLS coastal environmental risk index (CERI) was applied to communities located along the southern coast of Rhode Island (RI) to determine the risk to structures located in the flood plain. CERI uses estimates of the base flood elevation (BFE), explicitly including the effects of sea level rise (SLR); details on the structure types, from the E911 emergency data base/parcel data, and associated first floor elevation (FFE); and damage curves from the US Army Corp of Engineers North Atlantic Coast Comprehensive Study (NACCS) to determine the damages to structures for the study area. Surge levels and associated offshore waves used to determine BFEs were obtained from the NACCS hydrodynamic and wave model predictions. The impacts of sea level rise and coastal erosion on flooding were modeled using XBeach and STWAVE and validated by observations at selected locations along the coastline. CERI estimated the structural damage to each structure in the coastal flood plain for 100 yr flooding with SLR ranging from 0 to 10 ft. The number of structures at risk was estimated to increase approximate linearly from 3700 for no SLR to about 8000 for 10 ft SLR, with about equal percentages for each of the four coastal communities (Narragansett, South Kingstown, Charlestown, and Westerly, Rhode Island (RI)). The majority of the structures in the flood plain are single/story residences without (41%) and with (46%) basements (total 87%; structures with basements are the most vulnerable). Less vulnerable are structures elevated on piles with 8.8% of the total. The remaining are commercial structures principally located either in the Port of Galilee and or Watch Hill. The analysis showed that about 20% of the structures in the 100 yr flood plain are estimated to be damaged at 50% or greater. This increases to 55% of structures as SLR rises to 5 ft. At higher SLR values the percent damaged at 50% or greater slowly declines to 45% at 10 ft SLR. This behavior is a result of the number of homes below MSL increasing dramatically as ...
format Text
author Malcolm L. Spaulding
Annette Grilli
Chris Damon
Teresa Crean
Grover Fugate
author_facet Malcolm L. Spaulding
Annette Grilli
Chris Damon
Teresa Crean
Grover Fugate
author_sort Malcolm L. Spaulding
title Application of STORMTOOLS Coastal Environmental Risk Index (CERI) to Inform State and Local Planning and Decision Making along the Southern RI Shoreline
title_short Application of STORMTOOLS Coastal Environmental Risk Index (CERI) to Inform State and Local Planning and Decision Making along the Southern RI Shoreline
title_full Application of STORMTOOLS Coastal Environmental Risk Index (CERI) to Inform State and Local Planning and Decision Making along the Southern RI Shoreline
title_fullStr Application of STORMTOOLS Coastal Environmental Risk Index (CERI) to Inform State and Local Planning and Decision Making along the Southern RI Shoreline
title_full_unstemmed Application of STORMTOOLS Coastal Environmental Risk Index (CERI) to Inform State and Local Planning and Decision Making along the Southern RI Shoreline
title_sort application of stormtools coastal environmental risk index (ceri) to inform state and local planning and decision making along the southern ri shoreline
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url https://doi.org/10.3390/jmse8040295
op_coverage agris
genre North Atlantic
genre_facet North Atlantic
op_source Journal of Marine Science and Engineering; Volume 8; Issue 4; Pages: 295
op_relation Ocean Engineering
https://dx.doi.org/10.3390/jmse8040295
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/jmse8040295
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