Exploring the impacts of anthropogenic emission sectors on PM<sub>2.5</sub> and human health in South and East Asia
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Published:2019-09-24
Issue:18
Volume:19
Page:11887-11910
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Reddington Carly L.ORCID, Conibear LukeORCID, Knote ChristophORCID, Silver Ben J.ORCID, Li Yong J.ORCID, Chan Chak K.ORCID, Arnold Steve R., Spracklen Dominick V.
Abstract
Abstract. To improve poor air quality in Asia and inform effective
emission-reduction strategies, it is vital to understand the contributions
of different pollution sources and their associated human health burdens. In
this study, we use the WRF-Chem regional atmospheric model to explore the
air quality and human health benefits of eliminating emissions from six
different anthropogenic sectors (transport, industry, shipping, electricity
generation, residential combustion, and open biomass burning) over South and
East Asia in 2014. We evaluate WRF-Chem against measurements from air
quality monitoring stations across the region and find the model captures
the spatial distribution and magnitude of PM2.5 (particulate matter
with an aerodynamic diameter of no greater than 2.5 µm). We find that
eliminating emissions from residential energy use, industry, or open biomass
burning yields the largest reductions in population-weighted PM2.5
concentrations across the region. The largest human health benefit is
achieved by eliminating either residential or industrial emissions, averting
467 000 (95 % uncertainty interval (95UI): 409 000–542 000) or 283 000
(95UI: 226 000–358 000) annual premature mortalities, respectively, in India,
China, and South-east Asia, with fire prevention averting 28 000 (95UI:
24 000–32 000) annual premature mortalities across the region. We compare
our results to previous sector-specific emission studies. Across these
studies, residential emissions are the dominant cause of particulate
pollution in India, with a multi-model mean contribution of 42 % to
population-weighted annual mean PM2.5. Residential and industrial
emissions cause the dominant contributions in China, with multi-model mean
contributions of 29 % for both sectors to population-weighted annual mean
PM2.5. Future work should focus on identifying the most effective
options within the residential, industrial, and open biomass-burning emission
sectors to improve air quality across South and East Asia.
Funder
Natural Environment Research Council
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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