環保專案成果報告查詢系統

專案計畫編號	EPA-930091428
經費年度	093
計畫經費	980 千元
專案開始日期	2004/11/13
專案結束日期	2005/11/12
專案主持人	郭崇義
主辦單位	彰化縣環境保護局
承辦人
執行單位	郭崇義,張時獻
專案分類	大氣空氣
中文關鍵字	粗細粒徑，重金屬，陰陽離子
英文關鍵字	PM2.5、PM10-2.5、aerosol、heavy metal
協同主持人	張時獻
共同主持人
計畫聯絡人	郭崇義
計畫聯絡電話	24730022-11792
計畫聯絡信箱	kcy@csmu.edu.tw

中文摘要	本計畫選擇彰化、二林、湖東及線西等測站，進行兩次粗粒徑(PM10-2.5)及細粒徑(PM2.5)懸浮微粒之密集採樣及其重要污染物之分析。兩次採樣期間分別為94年4月3日至94年4月9日及7月29日至8月3日，分析之項目包括陰陽離子、含碳物質及重金屬等三大類污染。調查結果發現彰化地區之大氣懸浮微粒以細粒徑懸浮微粒為主要成份，約佔PM10之70%左右，兩次採樣結果均發現細粒徑元素碳(EC)之濃度遠高於粗粒徑元素碳之濃度，顯示元素碳主要來自燃燒所排放之污染源。粗細粒徑微粒中之陰陽離子濃度其空間差異大都未達統計上之顯著，但其在時間上之差異卻相當明顯，由於第一次連續7日之採樣期間其氣團變化較大，其時間上之差異較第二次採樣結果更為明顯。第一次採樣之結果，發現陰陽離子濃度在3日及6日均有一較高濃度，但3日其硫酸銨濃度偏高而6日則硝酸銨之濃度偏高，配合逆軌跡及其他污染物資料，推斷3日之高硫酸鹽為長程傳輸之結果，而6日之高硝酸鹽則屬本土性污染之結果。在粗細粒徑微粒中衍生性鹽類之比較上，發現粗粒徑衍生性鹽類(NH4+，SO42-及NO3-)約佔粗粒徑微粒之20%左右，而細粒徑衍生性鹽類佔細粒徑微粒之百分比已超過50%，顯示細粒徑衍生性鹽類在彰化地區對PM2.5具有相當高之貢獻量，此種貢獻量又會隨事件日之嚴重性而增加。在重金屬方面，地殼元素(Fe及Al)有較高之濃度，其他元素之濃度均不高。銅元素兩次採樣彰化測站之濃度均很高，另發現吹南風或西南風時其單位粗粒徑或細粒徑懸浮微粒之Cu含量均高於吹東北風時之含量，推測彰化測站西南向可能有Cu之污染源。
中文關鍵字	粗細粒徑，重金屬，陰陽離子

中文摘要

本計畫選擇彰化、二林、湖東及線西等測站，進行兩次粗粒徑(PM10-2.5)及細粒徑(PM2.5)懸浮微粒之密集採樣及其重要污染物之分析。兩次採樣期間分別為94年4月3日至94年4月9日及7月29日至8月3日，分析之項目包括陰陽離子、含碳物質及重金屬等三大類污染。調查結果發現彰化地區之大氣懸浮微粒以細粒徑懸浮微粒為主要成份，約佔PM10之70%左右，兩次採樣結果均發現細粒徑元素碳(EC)之濃度遠高於粗粒徑元素碳之濃度，顯示元素碳主要來自燃燒所排放之污染源。粗細粒徑微粒中之陰陽離子濃度其空間差異大都未達統計上之顯著，但其在時間上之差異卻相當明顯，由於第一次連續7日之採樣期間其氣團變化較大，其時間上之差異較第二次採樣結果更為明顯。第一次採樣之結果，發現陰陽離子濃度在3日及6日均有一較高濃度，但3日其硫酸銨濃度偏高而6日則硝酸銨之濃度偏高，配合逆軌跡及其他污染物資料，推斷3日之高硫酸鹽為長程傳輸之結果，而6日之高硝酸鹽則屬本土性污染之結果。在粗細粒徑微粒中衍生性鹽類之比較上，發現粗粒徑衍生性鹽類(NH4+，SO42-及NO3-)約佔粗粒徑微粒之20%左右，而細粒徑衍生性鹽類佔細粒徑微粒之百分比已超過50%，顯示細粒徑衍生性鹽類在彰化地區對PM2.5具有相當高之貢獻量，此種貢獻量又會隨事件日之嚴重性而增加。在重金屬方面，地殼元素(Fe及Al)有較高之濃度，其他元素之濃度均不高。銅元素兩次採樣彰化測站之濃度均很高，另發現吹南風或西南風時其單位粗粒徑或細粒徑懸浮微粒之Cu含量均高於吹東北風時之含量，推測彰化測站西南向可能有Cu之污染源。

中文關鍵字

粗細粒徑，重金屬，陰陽離子

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	彰化懸浮微粒調查分析管制計畫.pdf	0MB	公開版	2006/5/1 上午 12:00:00

摘要	High atmospheric particulate matter has become a problem in Changhua County because, except for the Siansi area, particulate matter levels (PM10) have exceeded the national air quality standard (65 g/m3) in recent years. In this study, ambient PM10 and PM2.5 were sampled at four air-quality monitoring stations, including Chang-hua, Siansi, Erhlin and Hutung during April 3 through 9, and July 29 through August 3, 2005. After collection the filters were analyzed for anions, cations, elemental carbon, organic carbon, and heavy metals. This study shows that PM2.5 was abundant in the sampled particulate matter (PM2.5/PM10=70%). The elemental carbon levels in PM2.5 were much higher than those in PM10-2.5. It suggests that most particulate matter came from combustion sources. The differences in spatial distribution of both cationic and anionic concentrations were not significant among the four air-quality monitoring stations. However, the concentrations of cations and anions changed with sampling time. Higher particulate levels were found in April 2005, compared to those sampled in August 2005. A backward trajectory model and chemical composition data were used to investigate the sources of high sulfate and nitrate levels in particulate matters. It suggests that the high sulfate and nitrate concentrations resulted from long-distance transportation sources on April 3 and local sources on April 6, respectively. Additionally, high percentages of NH4+, SO42- and NO3- were detected in the coarse particulate (20%, w/w) and fine particulate (50%, w/w), respectively. This finding suggests that these derived salts (NH4+, SO42- and NO3-) were the major composition of PM2.5 in Changhua County. As for the metals, crustal elements of Fe and Al presented high concentrations in the sampled particulate matters. The copper concentrations were profoundly high in the Changhua air-quality monitoring station when the wind directions changed to due south and southwest. It suggests that there are potential copper sources in the southwestern part of Changhua City. Further study should be conducted to confirm the copper sources.
英文關鍵字	PM2.5、PM10-2.5、aerosol、heavy metal

摘要

High atmospheric particulate matter has become a problem in Changhua County because, except for the Siansi area, particulate matter levels (PM10) have exceeded the national air quality standard (65 g/m3) in recent years. In this study, ambient PM10 and PM2.5 were sampled at four air-quality monitoring stations, including Chang-hua, Siansi, Erhlin and Hutung during April 3 through 9, and July 29 through August 3, 2005. After collection the filters were analyzed for anions, cations, elemental carbon, organic carbon, and heavy metals. This study shows that PM2.5 was abundant in the sampled particulate matter (PM2.5/PM10=70%). The elemental carbon levels in PM2.5 were much higher than those in PM10-2.5. It suggests that most particulate matter came from combustion sources. The differences in spatial distribution of both cationic and anionic concentrations were not significant among the four air-quality monitoring stations. However, the concentrations of cations and anions changed with sampling time. Higher particulate levels were found in April 2005, compared to those sampled in August 2005. A backward trajectory model and chemical composition data were used to investigate the sources of high sulfate and nitrate levels in particulate matters. It suggests that the high sulfate and nitrate concentrations resulted from long-distance transportation sources on April 3 and local sources on April 6, respectively. Additionally, high percentages of NH4+, SO42- and NO3- were detected in the coarse particulate (20%, w/w) and fine particulate (50%, w/w), respectively. This finding suggests that these derived salts (NH4+, SO42- and NO3-) were the major composition of PM2.5 in Changhua County. As for the metals, crustal elements of Fe and Al presented high concentrations in the sampled particulate matters. The copper concentrations were profoundly high in the Changhua air-quality monitoring station when the wind directions changed to due south and southwest. It suggests that there are potential copper sources in the southwestern part of Changhua City. Further study should be conducted to confirm the copper sources.

英文關鍵字

PM2.5、PM10-2.5、aerosol、heavy metal