Present and future sea level rise at the intersection of race and poverty in the Carolinas: A geospatial analysis

Sea level rise (SLR) has and will continue to impact coastal communities in the coming decades. Despite the widespread availability of data on SLR projections, little is known about the differential impact of SLR on minority or economically disadvantaged populations. In this study, we aim to identif...

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Autores principales:	Leah R. Handwerger, Margaret M. Sugg, Jennifer D. Runkle
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Sea level rise Climate change Racial segregation Poverty GIS coast Public aspects of medicine RA1-1270 Meteorology. Climatology QC851-999
Acceso en línea:	https://doaj.org/article/eb18e93799e74cea9c32c517b1948736
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spelling	oai:doaj.org-article:eb18e93799e74cea9c32c517b19487362021-11-18T04:53:52ZPresent and future sea level rise at the intersection of race and poverty in the Carolinas: A geospatial analysis2667-278210.1016/j.joclim.2021.100028https://doaj.org/article/eb18e93799e74cea9c32c517b19487362021-08-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2667278221000250https://doaj.org/toc/2667-2782Sea level rise (SLR) has and will continue to impact coastal communities in the coming decades. Despite the widespread availability of data on SLR projections, little is known about the differential impact of SLR on minority or economically disadvantaged populations. In this study, we aim to identify the geographic areas in which low-income and communities of color along the North and South Carolina coastline in the United States will experience the most severe effects of SLR. Geospatial mapping was performed to estimate the total area impacted by 1) SLR, 2) tidal inundation, and 3) low-lying areas separately for three scenarios (0-, 2-, and 4-feet). Findings project that over 2.2 million people and at least 370,000 Black or economically disadvantaged individuals will be impacted by SLR by 2100. Results showed that the most economically deprived and racially segregated communities are already experiencing the effects of SLR, including more frequent tidal inundation and low-lying flooding. Inland flooding is seven times more likely to occur in low-income Black communities compared to high-income white communities. Findings highlight the urgent need for additional resources and adaptive measures that target low-income, black communities who will continue to be disproportionately impacted by SLR in coastal Carolina.Leah R. HandwergerMargaret M. SuggJennifer D. RunkleElsevierarticleSea level riseClimate changeRacial segregationPovertyGIScoastPublic aspects of medicineRA1-1270Meteorology. ClimatologyQC851-999ENThe Journal of Climate Change and Health, Vol 3, Iss , Pp 100028- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Sea level rise Climate change Racial segregation Poverty GIS coast Public aspects of medicine RA1-1270 Meteorology. Climatology QC851-999
spellingShingle	Sea level rise Climate change Racial segregation Poverty GIS coast Public aspects of medicine RA1-1270 Meteorology. Climatology QC851-999 Leah R. Handwerger Margaret M. Sugg Jennifer D. Runkle Present and future sea level rise at the intersection of race and poverty in the Carolinas: A geospatial analysis
description	Sea level rise (SLR) has and will continue to impact coastal communities in the coming decades. Despite the widespread availability of data on SLR projections, little is known about the differential impact of SLR on minority or economically disadvantaged populations. In this study, we aim to identify the geographic areas in which low-income and communities of color along the North and South Carolina coastline in the United States will experience the most severe effects of SLR. Geospatial mapping was performed to estimate the total area impacted by 1) SLR, 2) tidal inundation, and 3) low-lying areas separately for three scenarios (0-, 2-, and 4-feet). Findings project that over 2.2 million people and at least 370,000 Black or economically disadvantaged individuals will be impacted by SLR by 2100. Results showed that the most economically deprived and racially segregated communities are already experiencing the effects of SLR, including more frequent tidal inundation and low-lying flooding. Inland flooding is seven times more likely to occur in low-income Black communities compared to high-income white communities. Findings highlight the urgent need for additional resources and adaptive measures that target low-income, black communities who will continue to be disproportionately impacted by SLR in coastal Carolina.
format	article
author	Leah R. Handwerger Margaret M. Sugg Jennifer D. Runkle
author_facet	Leah R. Handwerger Margaret M. Sugg Jennifer D. Runkle
author_sort	Leah R. Handwerger
title	Present and future sea level rise at the intersection of race and poverty in the Carolinas: A geospatial analysis
title_short	Present and future sea level rise at the intersection of race and poverty in the Carolinas: A geospatial analysis
title_full	Present and future sea level rise at the intersection of race and poverty in the Carolinas: A geospatial analysis
title_fullStr	Present and future sea level rise at the intersection of race and poverty in the Carolinas: A geospatial analysis
title_full_unstemmed	Present and future sea level rise at the intersection of race and poverty in the Carolinas: A geospatial analysis
title_sort	present and future sea level rise at the intersection of race and poverty in the carolinas: a geospatial analysis
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/eb18e93799e74cea9c32c517b1948736
work_keys_str_mv	AT leahrhandwerger presentandfuturesealevelriseattheintersectionofraceandpovertyinthecarolinasageospatialanalysis AT margaretmsugg presentandfuturesealevelriseattheintersectionofraceandpovertyinthecarolinasageospatialanalysis AT jenniferdrunkle presentandfuturesealevelriseattheintersectionofraceandpovertyinthecarolinasageospatialanalysis
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Present and future sea level rise at the intersection of race and poverty in the Carolinas: A geospatial analysis

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