English  |  正體中文  |  简体中文  |  Items with full text/Total items : 17776/20117 (88%)
Visitors : 11046823      Online Users : 603
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://ir.cnu.edu.tw/handle/310902800/31779

    標題: Ambient PM2.5 in the residential area near industrial complexes: Spatiotemporal variation, source apportionment, and health impact
    作者: 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
    貢獻者: 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
    關鍵字: Fine particle
    Source apportionment
    Chemical constituents
    Respiratory physician visits
    日期: 2017-07-15
    上傳時間: 2018-11-30 15:56:26 (UTC+8)
    出版者: Elsevier Science Bv
    摘要: 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.
    關聯: Science of The Total Environment, v.590, pp.204-214
    Appears in Collections:[環境工程與科學系(所)] 期刊論文

    Files in This Item:

    File Description SizeFormat

    All items in CNU IR are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback