Long-term variations in PM2.5 concentrations under changing meteorological conditions in Taiwan

被引:0
|
作者
Fang-Yi Cheng
Chia-Hua Hsu
机构
[1] National Central University,Department of Atmospheric Sciences
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
With emission control efforts, the PM2.5 concentrations and PM2.5 exceedance days (daily mean PM2.5 concentrations >35 µg m−3) show an apparent declining trend from 2006–2017. The PM2.5 concentrations increase from the northern to southern part of western Taiwan, and reductions in the PM2.5 concentration generally decrease from northern to southern part of western Taiwan. Thus, mitigation of the PM2.5 problem is less effective in southwestern Taiwan than in other regions in Taiwan. Analysis of a 39-year ERA-interim reanalysis dataset (1979–2017) reveals a weakening of the East Asian winter monsoon, a reduction in northeasterly (NE) monsoonal flow, and a tendency of enhanced stably stratified atmospheric structures in Taiwan and the surrounding area. The observed surface wind speed also presents a long-term decline. We can conclude that the long-term PM2.5 variations in Taiwan are mainly associated with changes in local anthropogenic emissions and modulated by short-term yearly variations due to strong haze events in China. In southwestern Taiwan, the long-term trend of PM2.5 reductions is possibly offset by worsening weather conditions, as this region is situated on the leeside of the mountains and often subject to stagnant wind when under the influence of NE monsoonal flow.
引用
收藏
相关论文
共 50 条
  • [1] Long-term variations in PM2.5 concentrations under changing meteorological conditions in Taiwan
    Cheng, Fang-Yi
    Hsu, Chia-Hua
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [2] An ensemble mixed spatial model in estimating long-term and diurnal variations of PM2.5 in Taiwan
    Wong, Pei-Yi
    Su, Huey-Jen
    Lung, Shih-Chun Candice
    Wu, Chih-Da
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 866
  • [3] Long-term Measurements of PM2.5 Concentrations in Lubbock, Texas
    Kelley, Mary C.
    Brown, Mallory M.
    Fedler, Clifford B.
    Ardon-Dryer, Karin
    AEROSOL AND AIR QUALITY RESEARCH, 2020, 20 (06) : 1306 - 1318
  • [4] Effects of Meteorological Conditions on PM2.5 Concentrations in Nagasaki, Japan
    Wang, Jianhua
    Ogawa, Susumu
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2015, 12 (08): : 9089 - 9101
  • [5] Impacts of urbanization and long-term meteorological variations on global PM2.5 and its associated health burden
    Lu, Xingcheng
    Yuan, Dehao
    Chen, Yiang
    Fung, Jimmy C. H.
    ENVIRONMENTAL POLLUTION, 2021, 270 (270)
  • [6] Influence of meteorological conditions on PM2.5 and PM2.5–10 elemental concentrations on Sado estuary area, Portugal
    M. M. Farinha
    S. M. Almeida
    M. C. Freitas
    T. G. Verburg
    H. Th. Wolterbeek
    Journal of Radioanalytical and Nuclear Chemistry, 2009, 282 : 815 - 819
  • [7] Spatiotemporal variations of PM2.5 concentrations across Thailand based on long-term remotely sensed observations
    Petchprayoon, Pakorn
    Koedkurang, Kanjana
    Uamkasem, Budsaba
    Chalermpong, Patiwet
    Kamonborisut, Karn
    REMOTE SENSING OF CLOUDS AND THE ATMOSPHERE XXVII, 2022, 12265
  • [8] Diagnostic identification of the impact of meteorological conditions on PM2.5 concentrations in Beijing
    Wang, Jizhi
    Wang, Yaqiang
    Liu, Hua
    Yang, Yuanqin
    Zhang, Xiaoye
    Li, Yi
    Zhang, Yangmei
    Deng, Guo
    ATMOSPHERIC ENVIRONMENT, 2013, 81 : 158 - 165
  • [9] Long-term variation of black carbon and PM2.5 in Beijing, China with respect to meteorological conditions and governmental measures
    Chen, Yuan
    Schleicher, Nina
    Fricker, Mathieu
    Cen, Kuang
    Liu, Xiu-li
    Kaminski, Uwe
    Yu, Yang
    Wu, Xue-fang
    Norra, Stefan
    ENVIRONMENTAL POLLUTION, 2016, 212 : 269 - 278
  • [10] Long Term Causality Analyses of Industrial Pollutants and Meteorological factors on PM2.5 concentrations in Zhejiang Province
    Wang, Bocheng
    Du, Quanquan
    Liu, Shengjuan
    Yan, Yanqin
    2018 5TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE 2018), 2018, : 301 - 305