Ambient PM2.5 in the residential area near industrial complexes: Spatiotemporal variation, source apportionment, and health impact

doi:10.1016/j.scitotenv.2017.02.212

CNU IR > College of Sustainable Environment and Recreation > Dept. of Environmental Engineering and Science (including master's program) > Periodical Articles > Item 310902800/31779

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Title:	Ambient PM2.5 in the residential area near industrial complexes: Spatiotemporal variation, source apportionment, and health impact
Authors:	Hsu, Chin-Yu Chiang, Hung-Che Chen, Mu-Jean Chuang, Chun-Yu Tsen, Chao-Ming Fang, Guor-Cheng Tsai, Ying-I Chen, Nai-Tzu Lin, Tzu-Yu Lin, Sheng-Lun Chen, Yu-Cheng
Contributors:	Natl Hlth Res Inst, Natl Inst Environm Hlth Sci Natl Tsing Hua Univ, Dept Biomed Engn & Environm Sci Agr Chem & Toxic Subst Res Inst, Council Agr, Residue Control Div Hungkuang Univ, Dept Safety Hlth & Environm Engn Chia Nan Univ Pharm & Sci, Dept Environm Engn & Sci Cheng Shiu Univ, Super Micro Mass Res & Technol Ctr China Med Univ, Dept Occupat Safety & Hlth
Keywords:	Fine particle Source apportionment Chemical constituents Respiratory physician visits
Date:	2017-07-15
Issue Date:	2018-11-30 15:56:26 (UTC+8)
Publisher:	Elsevier Science Bv
Abstract:	This study systemically investigated the ambient PM2.5 (n = 108) with comprehensive analyses of the chemical composition, identification of the potential contributors, and estimation of the resultant respiratory physician visits in the residential regions near energy-consuming and high-polluting industries in central Taiwan. The positive matrix fraction (PMF) model with chemical profiles of trace metals, water-soluble ions, and organic/elemental carbons (OC/EC) was applied to quantify the potential sources of PM2.5. The influences of local sources were also explored using the conditional probability function (CPF). Associations between the daily PM2.5 concentration and the risk of respiratory physician visits for the elderly (>= 65 years of age) were estimated using time-series analysis. A seasonal variation, with higher concentrations of PM2.5, metals (As, Cd, Sb, and Pb), OC/EC and ions (i.e., NO3-, SO42- and NH4+) in the winter than in the spring and summer, was observed. Overall, an increase of 10 mu g m(-3) in the same day PM2.5 was associated with an similar to 2% (95% CI: 1.5%-2.5%) increase in respiratory physician visits. Considering the health benefits of an effective reduction, we suggest that the emission from coal combustion (23.5%), iron ore and steel industry (17.1%), and non-ferrous metallurgy (14.4%), accounting for similar to 70% of the primary PM2.5 in the winter are prioritized to control. (C) 2017 Elsevier B.V. All rights reserved.
Relation:	Science of The Total Environment, v.590, pp.204-214
Appears in Collections:	[Dept. of Environmental Engineering and Science (including master's program)] Periodical Articles

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