Estimation and uncertainty analysis of impacts of future heat waves on mortality in the eastern United States
Climate change is anticipated to influence heat-related mortality in the future. However, estimates of excess mortality attributable to future heat waves are subject to large uncertainties and have not been projected under the latest greenhouse gas emission scenarios. We estimated future heat wave m...
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creator | Wu, Jianyong Zhou, Ying Gao, Yang Fu, Joshua S Johnson, Brent A Huang, Cheng Kim, Young-Min Liu, Yang |
description | Climate change is anticipated to influence heat-related mortality in the future. However, estimates of excess mortality attributable to future heat waves are subject to large uncertainties and have not been projected under the latest greenhouse gas emission scenarios.
We estimated future heat wave mortality in the eastern United States (approximately 1,700 counties) under two Representative Concentration Pathways (RCPs) and investigated sources of uncertainty.
Using dynamically downscaled hourly temperature projections for 2057-2059, we projected heat wave days that were defined using four heat wave metrics and estimated the excess mortality attributable to them. We apportioned the sources of uncertainty in excess mortality estimates using a variance-decomposition method.
Estimates suggest that excess mortality attributable to heat waves in the eastern United States would result in 200-7,807 deaths/year (mean 2,379 deaths/year) in 2057-2059. Average excess mortality projections under RCP4.5 and RCP8.5 scenarios were 1,403 and 3,556 deaths/year, respectively. Excess mortality would be relatively high in the southern states and eastern coastal areas (excluding Maine). The major sources of uncertainty were the relative risk estimates for mortality on heat wave versus non-heat wave days, the RCP scenarios, and the heat wave definitions.
Mortality risks from future heat waves may be an order of magnitude higher than the mortality risks reported in 2002-2004, with thousands of heat wave-related deaths per year in the study area projected under the RCP8.5 scenario. Substantial spatial variability in county-level heat mortality estimates suggests that effective mitigation and adaptation measures should be developed based on spatially resolved data. |
doi_str_mv | 10.1289/ehp.1306670 |
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We estimated future heat wave mortality in the eastern United States (approximately 1,700 counties) under two Representative Concentration Pathways (RCPs) and investigated sources of uncertainty.
Using dynamically downscaled hourly temperature projections for 2057-2059, we projected heat wave days that were defined using four heat wave metrics and estimated the excess mortality attributable to them. We apportioned the sources of uncertainty in excess mortality estimates using a variance-decomposition method.
Estimates suggest that excess mortality attributable to heat waves in the eastern United States would result in 200-7,807 deaths/year (mean 2,379 deaths/year) in 2057-2059. Average excess mortality projections under RCP4.5 and RCP8.5 scenarios were 1,403 and 3,556 deaths/year, respectively. Excess mortality would be relatively high in the southern states and eastern coastal areas (excluding Maine). The major sources of uncertainty were the relative risk estimates for mortality on heat wave versus non-heat wave days, the RCP scenarios, and the heat wave definitions.
Mortality risks from future heat waves may be an order of magnitude higher than the mortality risks reported in 2002-2004, with thousands of heat wave-related deaths per year in the study area projected under the RCP8.5 scenario. Substantial spatial variability in county-level heat mortality estimates suggests that effective mitigation and adaptation measures should be developed based on spatially resolved data.</description><identifier>ISSN: 0091-6765</identifier><identifier>EISSN: 1552-9924</identifier><identifier>DOI: 10.1289/ehp.1306670</identifier><identifier>PMID: 24192064</identifier><language>eng</language><publisher>United States: National Institute of Environmental Health Sciences</publisher><subject>Calibration ; Censuses ; Climate change ; Climate Change - statistics & numerical data ; Coastal zone ; Death ; Emissions ; Energy consumption ; Estimates ; excess mortality ; Greenhouse gases ; Health ; Health risks ; Heat ; heat wave ; Heat waves ; Heatstroke ; Hot Temperature - adverse effects ; Humans ; Impact analysis ; Mortality ; Mortality risk ; Population growth ; Projection ; Ratios ; Representative Concentration Pathway ; Risk ; Rural areas ; sensitivity analysis ; Simulation ; Temperature ; Temperature effects ; Uncertainty ; uncertainty analysis ; United States ; Urban areas ; Weather</subject><ispartof>Environmental Health Perspectives, 122(1):10-16, 2014-01, Vol.122 (1), p.10-16</ispartof><rights>Copyright National Institute of Environmental Health Sciences Jan 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c568t-75bbb9851ee95bddd135e348de37b0b41c349ddd1562bc9ebd5060e873d60f2d3</citedby><cites>FETCH-LOGICAL-c568t-75bbb9851ee95bddd135e348de37b0b41c349ddd1562bc9ebd5060e873d60f2d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3888568/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3888568/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24192064$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/1130241$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Wu, Jianyong</creatorcontrib><creatorcontrib>Zhou, Ying</creatorcontrib><creatorcontrib>Gao, Yang</creatorcontrib><creatorcontrib>Fu, Joshua S</creatorcontrib><creatorcontrib>Johnson, Brent A</creatorcontrib><creatorcontrib>Huang, Cheng</creatorcontrib><creatorcontrib>Kim, Young-Min</creatorcontrib><creatorcontrib>Liu, Yang</creatorcontrib><creatorcontrib>Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)</creatorcontrib><creatorcontrib>Pacific Northwest National Lab. (PNNL), Richland, WA (United States)</creatorcontrib><title>Estimation and uncertainty analysis of impacts of future heat waves on mortality in the eastern United States</title><title>Environmental Health Perspectives, 122(1):10-16</title><addtitle>Environ Health Perspect</addtitle><description>Climate change is anticipated to influence heat-related mortality in the future. However, estimates of excess mortality attributable to future heat waves are subject to large uncertainties and have not been projected under the latest greenhouse gas emission scenarios.
We estimated future heat wave mortality in the eastern United States (approximately 1,700 counties) under two Representative Concentration Pathways (RCPs) and investigated sources of uncertainty.
Using dynamically downscaled hourly temperature projections for 2057-2059, we projected heat wave days that were defined using four heat wave metrics and estimated the excess mortality attributable to them. We apportioned the sources of uncertainty in excess mortality estimates using a variance-decomposition method.
Estimates suggest that excess mortality attributable to heat waves in the eastern United States would result in 200-7,807 deaths/year (mean 2,379 deaths/year) in 2057-2059. Average excess mortality projections under RCP4.5 and RCP8.5 scenarios were 1,403 and 3,556 deaths/year, respectively. Excess mortality would be relatively high in the southern states and eastern coastal areas (excluding Maine). The major sources of uncertainty were the relative risk estimates for mortality on heat wave versus non-heat wave days, the RCP scenarios, and the heat wave definitions.
Mortality risks from future heat waves may be an order of magnitude higher than the mortality risks reported in 2002-2004, with thousands of heat wave-related deaths per year in the study area projected under the RCP8.5 scenario. Substantial spatial variability in county-level heat mortality estimates suggests that effective mitigation and adaptation measures should be developed based on spatially resolved data.</description><subject>Calibration</subject><subject>Censuses</subject><subject>Climate change</subject><subject>Climate Change - statistics & numerical data</subject><subject>Coastal zone</subject><subject>Death</subject><subject>Emissions</subject><subject>Energy consumption</subject><subject>Estimates</subject><subject>excess mortality</subject><subject>Greenhouse gases</subject><subject>Health</subject><subject>Health risks</subject><subject>Heat</subject><subject>heat wave</subject><subject>Heat waves</subject><subject>Heatstroke</subject><subject>Hot Temperature - adverse effects</subject><subject>Humans</subject><subject>Impact analysis</subject><subject>Mortality</subject><subject>Mortality risk</subject><subject>Population growth</subject><subject>Projection</subject><subject>Ratios</subject><subject>Representative Concentration Pathway</subject><subject>Risk</subject><subject>Rural areas</subject><subject>sensitivity analysis</subject><subject>Simulation</subject><subject>Temperature</subject><subject>Temperature effects</subject><subject>Uncertainty</subject><subject>uncertainty analysis</subject><subject>United States</subject><subject>Urban areas</subject><subject>Weather</subject><issn>0091-6765</issn><issn>1552-9924</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFks1vFSEUxYnR2Gd15d4Q3TQxU2EYGNiYmKZ-JE1caNeEgTsOzQw8gal5_315fc9G3bgCLj8O3MNB6CUl57SV6h1M23PKiBA9eYQ2lPO2UartHqMNIYo2ohf8BD3L-YYQQqUQT9FJ21HVEtFt0HKZi19M8TFgExxeg4VUjA9lV9dm3mWfcRyxX7bGlvvpuJY1AZ7AFPzL3EItBrzEemr29ZQPuEyAweQCKeDr4As4_K2YAvk5ejKaOcOL43iKrj9efr_43Fx9_fTl4sNVY7mQpen5MAxKcgqg-OCco4wD66QD1g9k6KhlndqXuWgHq2BwnAgCsmdOkLF17BS9P-hu12EBZyGUZGa9TbXVtNPReP33TvCT_hFvNZNS1idUgdcHgVjt0dnWHuxkYwhgi6bV7epghc6Ot6T4c4Vc9OKzhXk2AeKaNRV9rwijiv8f5YT0ShEpKvrmH_Qmrql-xV5QUNZzfi_49kDZFHNOMD40R4nex0LXWOhjLCr96k8_HtjfOWB31220kw</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Wu, Jianyong</creator><creator>Zhou, Ying</creator><creator>Gao, Yang</creator><creator>Fu, Joshua S</creator><creator>Johnson, Brent A</creator><creator>Huang, Cheng</creator><creator>Kim, Young-Min</creator><creator>Liu, Yang</creator><general>National Institute of Environmental Health Sciences</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>4T-</scope><scope>4U-</scope><scope>7RV</scope><scope>7ST</scope><scope>7T7</scope><scope>7U7</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7S</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope><scope>SOI</scope><scope>7T2</scope><scope>7U1</scope><scope>7U2</scope><scope>7U6</scope><scope>7SU</scope><scope>KR7</scope><scope>OTOTI</scope><scope>5PM</scope></search><sort><creationdate>20140101</creationdate><title>Estimation and uncertainty analysis of impacts of future heat waves on mortality in the eastern United States</title><author>Wu, Jianyong ; 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Jianyong</au><au>Zhou, Ying</au><au>Gao, Yang</au><au>Fu, Joshua S</au><au>Johnson, Brent A</au><au>Huang, Cheng</au><au>Kim, Young-Min</au><au>Liu, Yang</au><aucorp>Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)</aucorp><aucorp>Pacific Northwest National Lab. (PNNL), Richland, WA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation and uncertainty analysis of impacts of future heat waves on mortality in the eastern United States</atitle><jtitle>Environmental Health Perspectives, 122(1):10-16</jtitle><addtitle>Environ Health Perspect</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>122</volume><issue>1</issue><spage>10</spage><epage>16</epage><pages>10-16</pages><issn>0091-6765</issn><eissn>1552-9924</eissn><abstract>Climate change is anticipated to influence heat-related mortality in the future. However, estimates of excess mortality attributable to future heat waves are subject to large uncertainties and have not been projected under the latest greenhouse gas emission scenarios.
We estimated future heat wave mortality in the eastern United States (approximately 1,700 counties) under two Representative Concentration Pathways (RCPs) and investigated sources of uncertainty.
Using dynamically downscaled hourly temperature projections for 2057-2059, we projected heat wave days that were defined using four heat wave metrics and estimated the excess mortality attributable to them. We apportioned the sources of uncertainty in excess mortality estimates using a variance-decomposition method.
Estimates suggest that excess mortality attributable to heat waves in the eastern United States would result in 200-7,807 deaths/year (mean 2,379 deaths/year) in 2057-2059. Average excess mortality projections under RCP4.5 and RCP8.5 scenarios were 1,403 and 3,556 deaths/year, respectively. Excess mortality would be relatively high in the southern states and eastern coastal areas (excluding Maine). The major sources of uncertainty were the relative risk estimates for mortality on heat wave versus non-heat wave days, the RCP scenarios, and the heat wave definitions.
Mortality risks from future heat waves may be an order of magnitude higher than the mortality risks reported in 2002-2004, with thousands of heat wave-related deaths per year in the study area projected under the RCP8.5 scenario. Substantial spatial variability in county-level heat mortality estimates suggests that effective mitigation and adaptation measures should be developed based on spatially resolved data.</abstract><cop>United States</cop><pub>National Institute of Environmental Health Sciences</pub><pmid>24192064</pmid><doi>10.1289/ehp.1306670</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Calibration Censuses Climate change Climate Change - statistics & numerical data Coastal zone Death Emissions Energy consumption Estimates excess mortality Greenhouse gases Health Health risks Heat heat wave Heat waves Heatstroke Hot Temperature - adverse effects Humans Impact analysis Mortality Mortality risk Population growth Projection Ratios Representative Concentration Pathway Risk Rural areas sensitivity analysis Simulation Temperature Temperature effects Uncertainty uncertainty analysis United States Urban areas Weather |
title | Estimation and uncertainty analysis of impacts of future heat waves on mortality in the eastern United States |
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