TY - JOUR
T1 - Acute and chronic health impacts of PM2.5 in China and the influence of interannual meteorological variability
AU - Wang, Yuanlin
AU - Wild, Oliver
AU - Chen, Huansheng
AU - Gao, Meng
AU - Wu, Qizhong
AU - Qi, Yi
AU - Chen, Xueshun
AU - Wang, Zifa
N1 - Funding Information:
We would like to acknowledge Dr Kirsti Ashworth at Lancaster Environment Centre for insightful discussion and helpful comments. We are grateful Dr Aaron J. Cohen for providing the latest version IER parameters. This work was supported by the National Natural Science Foundation of China (Grant No 41620104008 ). Yuanlin Wang is supported by a scholarship from the China Scholarship Council .
PY - 2020/5/15
Y1 - 2020/5/15
N2 - High concentrations of PM2.5 in China have an adverse impact on human health and present a major problem for air quality control. Here we evaluate premature deaths attributable to chronic and acute exposure to ambient PM2.5 at different scales in China over 2013–2017 with an air quality model at 5 km resolution and integrated exposure-response methods. We estimate that 1,210,000 (95% Confidence Interval: 720,000–1,750,000) premature deaths annually are attributable to chronic exposure to PM2.5 pollution. Chongqing exhibits the largest chronic per capita mortality (1.4‰) among all provinces. A total of 116,000 (64,000–170,000) deaths annually are attributable to acute exposure during pollution episodes over the period, with Hubei province showing the highest acute per capita mortality (0.15‰). We also find that in urban areas premature deaths are 520,000 (320,000–760,000) due to chronic and 55,000 (3,000–81,000) due to acute exposure, respectively. At a provincial level, the annual mean PM2.5 concentration varies by ±20% due to interannual variability in meteorology, and PM2.5–attributable chronic mortality varies by ±8%, and by >±5% and ±1% at a national level. Meteorological variability shows larger impacts on interannual variations in acute risks than that in chronic exposure at both provincial (>±20%) and national (±4%) levels. These findings emphasize that tighter controls of PM2.5 and precursor emissions are urgently needed, particularly under unfavorable meteorological conditions in China.
AB - High concentrations of PM2.5 in China have an adverse impact on human health and present a major problem for air quality control. Here we evaluate premature deaths attributable to chronic and acute exposure to ambient PM2.5 at different scales in China over 2013–2017 with an air quality model at 5 km resolution and integrated exposure-response methods. We estimate that 1,210,000 (95% Confidence Interval: 720,000–1,750,000) premature deaths annually are attributable to chronic exposure to PM2.5 pollution. Chongqing exhibits the largest chronic per capita mortality (1.4‰) among all provinces. A total of 116,000 (64,000–170,000) deaths annually are attributable to acute exposure during pollution episodes over the period, with Hubei province showing the highest acute per capita mortality (0.15‰). We also find that in urban areas premature deaths are 520,000 (320,000–760,000) due to chronic and 55,000 (3,000–81,000) due to acute exposure, respectively. At a provincial level, the annual mean PM2.5 concentration varies by ±20% due to interannual variability in meteorology, and PM2.5–attributable chronic mortality varies by ±8%, and by >±5% and ±1% at a national level. Meteorological variability shows larger impacts on interannual variations in acute risks than that in chronic exposure at both provincial (>±20%) and national (±4%) levels. These findings emphasize that tighter controls of PM2.5 and precursor emissions are urgently needed, particularly under unfavorable meteorological conditions in China.
KW - Acute and chronic exposure
KW - Air quality model
KW - Exposure response functions
KW - Health impacts
KW - High resolution
KW - Meteorological variability
KW - Urban and rural
UR - http://www.scopus.com/inward/record.url?scp=85082699236&partnerID=8YFLogxK
U2 - 10.1016/j.atmosenv.2020.117397
DO - 10.1016/j.atmosenv.2020.117397
M3 - Journal article
AN - SCOPUS:85082699236
SN - 1352-2310
VL - 229
JO - Atmospheric Environment
JF - Atmospheric Environment
M1 - 117397
ER -