文化大學機構典藏 CCUR:Item 987654321/48920
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    Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/48920


    Title: The Temporal Evolution of PM2.5 Pollution Events in Taiwan: Clustering and the Association with Synoptic Weather
    Authors: Su, SH (Su, Shih-Hao)
    Chang, CW (Chang, Chiao-Wei)
    Chen, WT (Chen, Wei-Ting)
    Contributors: 大氣系
    Keywords: PM2.5
    air pollution events
    clustering
    synoptic weather events
    Date: 2020-11
    Issue Date: 2020-12-15 13:51:31 (UTC+8)
    Abstract: This study conducted a cluster analysis on the fine particulate matter (PM2.5) data over Taiwan from 2006 to 2015 and diagnosed their association with the synoptic weather patterns. Five clusters are identified via a hierarchical clustering algorithm; three of them correspond to severe events, each with a distinct pattern of temporal evolution within the 240-h window. The occurrence of the different clusters exhibits strong seasonal variation. Two of the polluted clusters are more frequently associated with weak synoptic weather, while the other one is related to northeasterly winds and fronts. Detailed case studies show that the weather patterns' temporal evolutions clearly modulate the transition among various pollution clusters by influencing the changes in local circulation and atmospheric stability. In winter, the clusters characterizing severe PM2.5 pollution events occur when Taiwan is influenced by persistent weak synoptic condition, while in autumn, the long-range transport by strong northerly winds leads to the occurrence of severe PM2.5 pollution. The current results shed light on the potential of combining the data-driven approach and the numerical weather forecasting model to provide extended range forecasts of local air pollution forecasts.
    Relation: ATMOSPHERE 卷冊: 11 期: 11 文獻號碼: 1265
    Appears in Collections:[大氣系所] 期刊論文

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