環保專案成果報告查詢系統

專案計畫編號
經費年度	112
計畫經費	18,000 千元
預算科目	固定污染源管制
專案開始日期	2023/01/01
專案結束日期	2023/12/31
專案主持人	周崇光
主辦單位	國環院環境治理研究中心
承辦人	林佳慧
執行單位	中央研究院環境變遷研究中心
專案分類	環境監測及檢測
中文關鍵字	PM2.5化學成分長期監測、PM2.5污染源解析、衍生性污染物鑑識
英文關鍵字	PM2.5 long-term monitoring, PM2.5 source apportionment, CPM identification
協同主持人	李崇德；紀凱獻；張士昱；莊銘棟；許文昌；榮建誠
共同主持人
計畫聯絡人	黃譯樘
計畫聯絡電話	02-27875983#
計畫聯絡信箱	yitang@rcec.sinica.edu.tw

中文摘要	本計畫在臺灣北、中、南和東部共選六個環境部空氣品質監測站（花蓮、板橋、忠明、斗六、嘉義和小港站）進行九天一次PM2.5採樣與化學成分分析，計畫從2017年執行至今已累積了七年的長期觀測數據。七年的PM2.5以及化學成分分析結果顯示臺灣各地PM2.5及主要化學成分質量濃度都有下降，特別是SO42-減量最顯著，NO3-是主要污染成分中減量相對少且在PM2.5高濃度事件及能見度（IMPROVE 方法）降低中貢獻最高的化學成分，因此NO3-及前驅污染物的管制會是未來的重點。PMF分析出十個可能的污染因子，其中，各站的「燃油」因子在2020年Q1顯著下降，應受到全球限硫令對船舶用油管制的影響；「工業重金屬污染」因子近七年並沒有明顯的降低，未來應評估是否需要針對重金屬排放進行管制，以減少對人民健康的危害。在台中地區執行環境的周界採樣掌握區域PM2.5污染特性，配合中要污染排放源的煙道採樣解析台中地區污染特性，煙道排放結果顯示CPM對PM2.5的貢獻遠大於FPM不容忽視，另外，DEHP也出現在各煙道採樣中，是否與SRF的使用有關需持續追蹤釐清。為了在將來能提高PM2.5污染分布的時間解析度，本計畫比較高流量採樣器與標準方法採樣器（低流量）的PM2.5化學成分分析結果，大多成分質量濃度相當一致，惟部分成分有些差異需再進一步釐清原因。
中文關鍵字	PM2.5化學成分長期監測、PM2.5污染源解析、衍生性污染物鑑識

中文摘要

本計畫在臺灣北、中、南和東部共選六個環境部空氣品質監測站（花蓮、板橋、忠明、斗六、嘉義和小港站）進行九天一次PM2.5採樣與化學成分分析，計畫從2017年執行至今已累積了七年的長期觀測數據。七年的PM2.5以及化學成分分析結果顯示臺灣各地PM2.5及主要化學成分質量濃度都有下降，特別是SO42-減量最顯著，NO3-是主要污染成分中減量相對少且在PM2.5高濃度事件及能見度（IMPROVE 方法）降低中貢獻最高的化學成分，因此NO3-及前驅污染物的管制會是未來的重點。PMF分析出十個可能的污染因子，其中，各站的「燃油」因子在2020年Q1顯著下降，應受到全球限硫令對船舶用油管制的影響；「工業重金屬污染」因子近七年並沒有明顯的降低，未來應評估是否需要針對重金屬排放進行管制，以減少對人民健康的危害。在台中地區執行環境的周界採樣掌握區域PM2.5污染特性，配合中要污染排放源的煙道採樣解析台中地區污染特性，煙道排放結果顯示CPM對PM2.5的貢獻遠大於FPM不容忽視，另外，DEHP也出現在各煙道採樣中，是否與SRF的使用有關需持續追蹤釐清。為了在將來能提高PM2.5污染分布的時間解析度，本計畫比較高流量採樣器與標準方法採樣器（低流量）的PM2.5化學成分分析結果，大多成分質量濃度相當一致，惟部分成分有些差異需再進一步釐清原因。

中文關鍵字

PM2.5化學成分長期監測、PM2.5污染源解析、衍生性污染物鑑識

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	112年度細懸浮微粒（PM2.5）化學成分監測及分析計畫.pdf	24MB		2024/1/15 上午 12:00:00

摘要	This project conducts routine PM2.5 sampling and chemical composition analysis at six Environmental Protection Administration air quality monitoring stations in northern, central, southern, and eastern Taiwan (Hualien, Banqiao, Chungli, Douliu, Chiayi, and Xiaogang stations) every nine days. The project, ongoing since 2017, has accumulated seven years of long-term observational data. Over the seven-year period, the results of PM2.5 and chemical composition analyses indicate a decrease in PM2.5 and major chemical component mass concentrations across Taiwan. Particularly significant is the reduction in SO42-, while NO3- shows relatively less reduction. NO3- is the highest contributing chemical component in PM2.5 high concentration events and visibility reduction (IMPROVE method). Therefore, the control of NO3- and its precursor pollutants will be a future focus. PMF analysis identified ten potential pollution factors, with the "Oil combustion" factor at each station significantly decreasing in 2020 Q1, likely influenced by global sulfur restrictions on ship fuel. The "industrial heavy metal pollution" factor did not exhibit a noticeable decrease over the past seven years, prompting the need to evaluate whether controls on heavy metal emissions are necessary to reduce health risks. Environmental perimeter sampling in the Taichung region, combined with stack sampling for key pollution sources, revealed that CPM's contribution to PM2.5 is far greater than that of FPM, emphasizing its significance. Additionally, DEHP appeared in various stack samples, raising questions about its association with the use of solid recovered fuel (SRF), requiring ongoing tracking and clarification. To enhance the temporal resolution of PM2.5 pollution distribution in the future, this project compared the results of PM2.5 chemical composition analysis between high-volume samplers and standard method samplers (low-volume). In general, most component mass concentrations were consistent; however, some differences in specific components need further clarification.
英文關鍵字	PM2.5 long-term monitoring, PM2.5 source apportionment, CPM identification

摘要

This project conducts routine PM2.5 sampling and chemical composition analysis at six Environmental Protection Administration air quality monitoring stations in northern, central, southern, and eastern Taiwan (Hualien, Banqiao, Chungli, Douliu, Chiayi, and Xiaogang stations) every nine days. The project, ongoing since 2017, has accumulated seven years of long-term observational data. Over the seven-year period, the results of PM2.5 and chemical composition analyses indicate a decrease in PM2.5 and major chemical component mass concentrations across Taiwan. Particularly significant is the reduction in SO42-, while NO3- shows relatively less reduction. NO3- is the highest contributing chemical component in PM2.5 high concentration events and visibility reduction (IMPROVE method). Therefore, the control of NO3- and its precursor pollutants will be a future focus. PMF analysis identified ten potential pollution factors, with the "Oil combustion" factor at each station significantly decreasing in 2020 Q1, likely influenced by global sulfur restrictions on ship fuel. The "industrial heavy metal pollution" factor did not exhibit a noticeable decrease over the past seven years, prompting the need to evaluate whether controls on heavy metal emissions are necessary to reduce health risks. Environmental perimeter sampling in the Taichung region, combined with stack sampling for key pollution sources, revealed that CPM's contribution to PM2.5 is far greater than that of FPM, emphasizing its significance. Additionally, DEHP appeared in various stack samples, raising questions about its association with the use of solid recovered fuel (SRF), requiring ongoing tracking and clarification. To enhance the temporal resolution of PM2.5 pollution distribution in the future, this project compared the results of PM2.5 chemical composition analysis between high-volume samplers and standard method samplers (low-volume). In general, most component mass concentrations were consistent; however, some differences in specific components need further clarification.

英文關鍵字

PM2.5 long-term monitoring, PM2.5 source apportionment, CPM identification