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Predicted Future Mortality Attributed to Increases in Temperature and PM10 Concentration under Representative Concentration Pathway Scenarios

Bibliographic Data

ID15499691
AuthorsJiyun Jung (0000-0002-8235-0316, Seoul National University), Jae Young Lee (0000-0002-2164-1195, Seoul National University), Hyewon Lee (0000-0002-5960-535X, Seoul National University), Ho Kim (0000-0001-7472-3752, Seoul National University, corresponding author)
Year2020
Volume17
Issue7
Pages2600-2600
Publication date2020-04-10
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17072600
PMID32290146
OpenAlexW3015432337
LanguageEN
Citations received4
References cited36

As climate change progresses, understanding the impact on human health associated with the temperature and air pollutants has been paramount. However, the predicted effect on temperature associated with particulate matter (PM 10 ) is not well understood due to the difficulty in predicting the local and regional PM 10 . We compared temperature-attributable mortality for the baseline (2003-2012), 2030s (2026-2035), 2050s (2046-2055), and 2080s (2076-2085) based on a distributed lag non-linear model by simultaneously considering assumed levels of PM 10 on historical and projected temperatures under representative concentration pathway (RCP) scenarios. The considered projected PM 10 concentrations of 35, 50, 65, 80, and 95 μg/m 3 were based on historical concentration quantiles. Our findings confirmed greater temperature-attributable risks at PM 10 concentrations above 65 μg/m 3 due to the modification effect of the pollutants on temperature. In addition, this association between temperature and PM 10 was higher under RCP8.5 than RCP4.5. We also confirmed regional heterogeneity in temperature-attributable deaths by considering PM 10 concentrations in South Korea with higher risks in heavily populated areas. These results demonstrated that the modification association of air pollutants on health burdens attributable to increasing temperatures should be considered by researchers and policy makers

Air pollutants · Air pollution · Atmospheric sciences · Baseline (sea · Biology · Climate change · Climate model · Climatology · Confidence interval · Econometrics · Effect modification · Environmental health · Particulates · Pollutant · Quantile · Representative Concentration Pathways · Statistics · Surface air temperature · Air Quality and Health Impacts · Chemistry · Climate Change and Health Impacts · Environmental Science · Global Health Care Issues · Mathematics · Medicine · Ecology

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Citations per year1
Citation span2022 - 2026 (5)
Highly citedNo

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