環保專案成果報告查詢系統

專案計畫編號	YLEPB-105-025
經費年度	105
計畫經費	10,100 千元
專案開始日期	2016/06/08
專案結束日期	2017/06/07
專案主持人	林毓珣
主辦單位	雲林縣環境保護局
承辦人	何冠勳
執行單位	勤智興業有限公司
專案分類	大氣空氣
中文關鍵字	PM2.5檢測/指紋圖譜、PM2.5排放係數/排放量、空氣品質預報/分析系統優化、污染來源分析(事件日/氣象)、策略減量效益評估
英文關鍵字	PM2.5 sources profile, Emission coefficients, Air quality forecast/analysis model, PM2.5 pollution source(Meteorological), Control strategies assessment
協同主持人
共同主持人
計畫聯絡人	白凱棣
計畫聯絡電話	02-22261158#306
計畫聯絡信箱	al1990918@chinjet.com.tw

中文摘要	本計畫統計105年6月8日至106年6月7日為止，完成12根次排放管道、5點次非稻稈農廢燃燒及13點次揚塵PM2.5採樣分析及指紋建置、PM2.5排放量推估、空品預報系統優化提升準確度、PM2.5污染分析系統及展示網頁建置、本縣PM2.5污染來源解析、管制及應變策略成效評估等指標工作，並完成防護宣導會10場次、電台專訪與廣播各1式、「雲嘉嘉聯合管制二行程機車記者會」及「PM2.5污染防制座談會」等宣導活動。在本縣污染源PM2.5指紋建置工作，建立30筆污染源指紋資料，包含12筆固定源(排放管道)、18筆逸散源(非稻廢燃燒5筆、揚塵13筆)資料。其中燃煤鍋爐、燃油鍋爐、木材鍋爐等燃燒爐採樣結果顯示不同製程PM2.5排放係數差異相當大，大型鍋爐因製程操作與控制相當嚴謹，PM2.5排放係數最低，而中小型鍋爐PM2.5排放係數較高，因防制設備的維護及效率較難掌握驗證，污染應受重視。不同燃燒型製程化學組成皆以硫酸鹽(SO42-)與碳成份佔比最高，以木材鍋爐(Cl-、K+)及燃油鍋爐(Ni、V)產生之特徵物種較顯著。非稻梗農廢燃燒PM2.5採樣結果，化學組成以有機碳、鉀、硫、鉀鹽為主要物種，且發現硫酸鹽(SO42-)亦有不低佔比。所排放之PM2.5相較稻梗燃燒，產生原生性硝酸鹽、硫酸鹽、元素碳、鋅及鎂之貢獻較高，而氯鹽含量顯著低於稻梗燃燒，能區分稻作及非稻作農廢燃燒污染源的貢獻。在揚塵採樣部分，以懸浮微粒主要粒徑分布PM10以下進行分析，本縣街道揚塵PM2.5/PM10比值介於22.9~44.6%，海線鄉鎮較山線有更高的原生性PM2.5排放潛勢，化學組成以元素碳、鋁、有機碳、鉀、鐵、硝酸鹽佔比最高。濁水溪揚塵以中游河灘地具有較高的PM10及PM2.5負荷潛勢，出海口河沙PM2.5/PM10最高達77.60%，排放組成以鋁、有機碳、元素碳為主。營建工地揚塵之PM2.5/PM10為不同揚塵類型中最低的，其塵土具有較少細微粒比例的特徵。本年度空品預報系統(AQF2)完成氣象模擬Nudging優化、模式版本升級、加入東亞境外污染源以及河川揚塵模組更新，PM2.5預報準確度明顯提升，與觀測值比對均符合環保署模擬性能評估規範標準；並完成即時PM2.5污染分析系統建置及展示網頁架設，可解析PM2.5事件日之點源、線源、面源、境外污染及大型工廠污染貢獻，提供應變啟動參考。分析短期空品不良日影響斗六及崙背測站之污染來源主要來自台中、彰化至雲林海線一帶，主要可能為台中電廠、六輕、斗六工業區及中龍鋼鐵等工廠，以及沿著國道一號分布之移動源及逸散源所貢獻。短期空品惡化應變改善評估，台中電廠降載40%對本縣減量可達15%，而六輕工業區降載40%主要改善嘉義地區，減量效益可達7.8% (本縣改善麥寮台西站約2.1-5.8%)；另模擬本縣各項PM2.5管制對策，評估對雲嘉南地區的空氣品質改善情形，針對固定源(加嚴生煤及石油焦)、移動源(全數汰換老舊柴油車)及逸散源(營建工地管制)為例，對雲嘉南地區2016整年平均改善效益分別可達0.76 g/m3 (3.15%)、0.039 g/m3 (0.13%)、0.134 g/m3 (0.45%)。宣導作業部分，共完成村里及國小防護宣導10場次，計892人次參與，另外於空品不良期間進行282檔次廣播及1式電台專訪，有效宣導民眾照護工作，並召開「雲嘉嘉聯合管制二行程機車記者會」，呼籲民眾配合縣府汰舊換新補助政策減少使用高污染機車，另外藉由辦理「PM2.5污染防制座談會」，傳達中部雲嘉南空品區空污聯防，推動跨縣市空氣污染聯合管制策略的決心。
中文關鍵字	PM2.5檢測/指紋圖譜、PM2.5排放係數/排放量、空氣品質預報/分析系統優化、污染來源分析(事件日/氣象)、策略減量效益評估

中文摘要

本計畫統計105年6月8日至106年6月7日為止，完成12根次排放管道、5點次非稻稈農廢燃燒及13點次揚塵PM2.5採樣分析及指紋建置、PM2.5排放量推估、空品預報系統優化提升準確度、PM2.5污染分析系統及展示網頁建置、本縣PM2.5污染來源解析、管制及應變策略成效評估等指標工作，並完成防護宣導會10場次、電台專訪與廣播各1式、「雲嘉嘉聯合管制二行程機車記者會」及「PM2.5污染防制座談會」等宣導活動。在本縣污染源PM2.5指紋建置工作，建立30筆污染源指紋資料，包含12筆固定源(排放管道)、18筆逸散源(非稻廢燃燒5筆、揚塵13筆)資料。其中燃煤鍋爐、燃油鍋爐、木材鍋爐等燃燒爐採樣結果顯示不同製程PM2.5排放係數差異相當大，大型鍋爐因製程操作與控制相當嚴謹，PM2.5排放係數最低，而中小型鍋爐PM2.5排放係數較高，因防制設備的維護及效率較難掌握驗證，污染應受重視。不同燃燒型製程化學組成皆以硫酸鹽(SO42-)與碳成份佔比最高，以木材鍋爐(Cl-、K+)及燃油鍋爐(Ni、V)產生之特徵物種較顯著。非稻梗農廢燃燒PM2.5採樣結果，化學組成以有機碳、鉀、硫、鉀鹽為主要物種，且發現硫酸鹽(SO42-)亦有不低佔比。所排放之PM2.5相較稻梗燃燒，產生原生性硝酸鹽、硫酸鹽、元素碳、鋅及鎂之貢獻較高，而氯鹽含量顯著低於稻梗燃燒，能區分稻作及非稻作農廢燃燒污染源的貢獻。在揚塵採樣部分，以懸浮微粒主要粒徑分布PM10以下進行分析，本縣街道揚塵PM2.5/PM10比值介於22.9~44.6%，海線鄉鎮較山線有更高的原生性PM2.5排放潛勢，化學組成以元素碳、鋁、有機碳、鉀、鐵、硝酸鹽佔比最高。濁水溪揚塵以中游河灘地具有較高的PM10及PM2.5負荷潛勢，出海口河沙PM2.5/PM10最高達77.60%，排放組成以鋁、有機碳、元素碳為主。營建工地揚塵之PM2.5/PM10為不同揚塵類型中最低的，其塵土具有較少細微粒比例的特徵。本年度空品預報系統(AQF2)完成氣象模擬Nudging優化、模式版本升級、加入東亞境外污染源以及河川揚塵模組更新，PM2.5預報準確度明顯提升，與觀測值比對均符合環保署模擬性能評估規範標準；並完成即時PM2.5污染分析系統建置及展示網頁架設，可解析PM2.5事件日之點源、線源、面源、境外污染及大型工廠污染貢獻，提供應變啟動參考。分析短期空品不良日影響斗六及崙背測站之污染來源主要來自台中、彰化至雲林海線一帶，主要可能為台中電廠、六輕、斗六工業區及中龍鋼鐵等工廠，以及沿著國道一號分布之移動源及逸散源所貢獻。短期空品惡化應變改善評估，台中電廠降載40%對本縣減量可達15%，而六輕工業區降載40%主要改善嘉義地區，減量效益可達7.8% (本縣改善麥寮台西站約2.1-5.8%)；另模擬本縣各項PM2.5管制對策，評估對雲嘉南地區的空氣品質改善情形，針對固定源(加嚴生煤及石油焦)、移動源(全數汰換老舊柴油車)及逸散源(營建工地管制)為例，對雲嘉南地區2016整年平均改善效益分別可達0.76 g/m3 (3.15%)、0.039 g/m3 (0.13%)、0.134 g/m3 (0.45%)。宣導作業部分，共完成村里及國小防護宣導10場次，計892人次參與，另外於空品不良期間進行282檔次廣播及1式電台專訪，有效宣導民眾照護工作，並召開「雲嘉嘉聯合管制二行程機車記者會」，呼籲民眾配合縣府汰舊換新補助政策減少使用高污染機車，另外藉由辦理「PM2.5污染防制座談會」，傳達中部雲嘉南空品區空污聯防，推動跨縣市空氣污染聯合管制策略的決心。

中文關鍵字

PM2.5檢測/指紋圖譜、PM2.5排放係數/排放量、空氣品質預報/分析系統優化、污染來源分析(事件日/氣象)、策略減量效益評估

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	105年PM2.5計畫期末報告定稿本(全).pdf	28MB	期末報告定稿本	2018/3/1 上午 12:00:00

摘要	This year project implementation period from June 8, 2016 to June 7, 2017, completed 12 times discharge pipes flue gas, 5 times non-rice agricultural waste burning and 13 times dust PM2.5 sampling and chemical composition analysis, to establish the source profile , PM2.5 emission analysis, Air quality forecasting/ analysis system improvement, PM2.5 pollution source analysis in different Meteorological Parameters ,and control strategy benefit assessment. And the completion of the 10 times protection propaganda, "Press conference and PM2.5 prevention seminar", and other advocacy activities. The overall progress towards rate is 100%. In PM2.5 sources profile build achievement, this year has been establish 30 pollution sources profile, including 12 stationary sources (discharge pipes flue gas) data, 18 fugitive sources (5 pen of non-rice agricultural waste burning ＆ 13 pen of dust) data. The results show that the emission coefficient of PM2.5 is quite large, and the large-scale boiler is very strict in the operation and control of the process, the PM2.5 emission coefficient is the lowest, and the small and medium-sized boiler PM2.5 emission factor is higher, because the maintenance of equipment maintenance and efficiency is difficult to grasp the verification, pollution should be taken seriously. The chemical composition analysis of different combustion processes, the highest proportion is sulfate (SO42-) and carbon. In addition wood boiler (Cl-, K+) and oil-fired boiler (Ni, V) is the characterized species compare with other boiler process. The non-rice agricultural waste burning PM2.5 sampling results showed the major chemical composition was organic carbon(OC), potassium(K), sulfur(S) and potassium ion(K+). Also found that the sulfate (SO42-) content was not low. The emission of PM2.5 composition, nitrate(NO3-), sulfate, elemental carbon(EC), zinc(Zn) and magnesium(Mg) was higher than rice agricultural waste, and the content of chloride was significantly lower than that of rice stem, which could distinguish PM2.5 contribution for rice and non-rice agricultural waste burning. In the dust sampling part, the PM2.5/PM10 ratio of the street dust is between 22.9 and 44.6%, showed the PM2.5 emission potential of coastal area is higher than the inland area. Street dust PM2.5 major composition was elemental carbon, aluminum(Al), organic carbon, potassium, iron(Fe) and nitrate. River dust at coastal area also has a high PM10 and PM2.5 emission potential, the PM2.5/PM10 ratio up to 77.60%, and the major composition was aluminum, organic carbon, elemental carbon. The PM2.5/PM10 ratio for the construction site dust is the lowest among the different dust types, has a smaller proportion of fine particles characterized. This year's Air Forecasting System (AQF2) improved work including the meteorological simulation Nudging optimization, the model version upgrade, the addition of pollution sources in East Asia and the river dust module update. PM2.5 forecast accuracy improved significantly, compared with the observation values are in line according to EPA model performance evaluation Standardize. And complete the PM2.5 source analysis system ＆ display webpage, when PM2.5 event day occurred can instantly analyze contribution ratio from point source, line source, surface source, foreign transmission and large factory pollution, to provide response start reference. The short-term emission reduction strategies in PM2.5 event day, improve assessment result showed Taichung power plant reduce operation 40%, the Yunlin county PM2.5 concertation can impove up to 15%. While the Mailiao Industrial Zone down 40% can improve the Chiayi county PM2.5 concertation up to 7.8% (Yunlin county PM2.5 improvement is about 2.1-5.8%). The other is the PM2.5 control measures to assess the air quality improvement situation at Yunlin, Chiayi, and Tainan area. Take fixed sources (raw coal reduce), mobile sources (old diesel vehicles replaced) and area sources(Construction site control) for example, the average benefit of the year 2016 was 0.76 g/m3 (3.15%), 0.039 g/m3 (0.13%), and 0.134 g/m3 (0.45%). In PM2.5 propaganda, this year completed total 892 visitors of 10 times self- protection propaganda at village and elementary school. In addition the 282 times broadcast radio in 45 days, effectively warn people make self-protection when PM2.5 event occurred. Furthermore to hold "press conference" and "PM2.5 prevention seminar", show the county government determined to launch air pollution defense, promote cross-city air pollution control strategy cooperation.
英文關鍵字	PM2.5 sources profile, Emission coefficients, Air quality forecast/analysis model, PM2.5 pollution source(Meteorological), Control strategies assessment

摘要

This year project implementation period from June 8, 2016 to June 7, 2017, completed 12 times discharge pipes flue gas, 5 times non-rice agricultural waste burning and 13 times dust PM2.5 sampling and chemical composition analysis, to establish the source profile , PM2.5 emission analysis, Air quality forecasting/ analysis system improvement, PM2.5 pollution source analysis in different Meteorological Parameters ,and control strategy benefit assessment. And the completion of the 10 times protection propaganda, "Press conference and PM2.5 prevention seminar", and other advocacy activities. The overall progress towards rate is 100%. In PM2.5 sources profile build achievement, this year has been establish 30 pollution sources profile, including 12 stationary sources (discharge pipes flue gas) data, 18 fugitive sources (5 pen of non-rice agricultural waste burning ＆ 13 pen of dust) data. The results show that the emission coefficient of PM2.5 is quite large, and the large-scale boiler is very strict in the operation and control of the process, the PM2.5 emission coefficient is the lowest, and the small and medium-sized boiler PM2.5 emission factor is higher, because the maintenance of equipment maintenance and efficiency is difficult to grasp the verification, pollution should be taken seriously. The chemical composition analysis of different combustion processes, the highest proportion is sulfate (SO42-) and carbon. In addition wood boiler (Cl-, K+) and oil-fired boiler (Ni, V) is the characterized species compare with other boiler process. The non-rice agricultural waste burning PM2.5 sampling results showed the major chemical composition was organic carbon(OC), potassium(K), sulfur(S) and potassium ion(K+). Also found that the sulfate (SO42-) content was not low. The emission of PM2.5 composition, nitrate(NO3-), sulfate, elemental carbon(EC), zinc(Zn) and magnesium(Mg) was higher than rice agricultural waste, and the content of chloride was significantly lower than that of rice stem, which could distinguish PM2.5 contribution for rice and non-rice agricultural waste burning. In the dust sampling part, the PM2.5/PM10 ratio of the street dust is between 22.9 and 44.6%, showed the PM2.5 emission potential of coastal area is higher than the inland area. Street dust PM2.5 major composition was elemental carbon, aluminum(Al), organic carbon, potassium, iron(Fe) and nitrate. River dust at coastal area also has a high PM10 and PM2.5 emission potential, the PM2.5/PM10 ratio up to 77.60%, and the major composition was aluminum, organic carbon, elemental carbon. The PM2.5/PM10 ratio for the construction site dust is the lowest among the different dust types, has a smaller proportion of fine particles characterized. This year's Air Forecasting System (AQF2) improved work including the meteorological simulation Nudging optimization, the model version upgrade, the addition of pollution sources in East Asia and the river dust module update. PM2.5 forecast accuracy improved significantly, compared with the observation values are in line according to EPA model performance evaluation Standardize. And complete the PM2.5 source analysis system ＆ display webpage, when PM2.5 event day occurred can instantly analyze contribution ratio from point source, line source, surface source, foreign transmission and large factory pollution, to provide response start reference. The short-term emission reduction strategies in PM2.5 event day, improve assessment result showed Taichung power plant reduce operation 40%, the Yunlin county PM2.5 concertation can impove up to 15%. While the Mailiao Industrial Zone down 40% can improve the Chiayi county PM2.5 concertation up to 7.8% (Yunlin county PM2.5 improvement is about 2.1-5.8%). The other is the PM2.5 control measures to assess the air quality improvement situation at Yunlin, Chiayi, and Tainan area. Take fixed sources (raw coal reduce), mobile sources (old diesel vehicles replaced) and area sources(Construction site control) for example, the average benefit of the year 2016 was 0.76 g/m3 (3.15%), 0.039 g/m3 (0.13%), and 0.134 g/m3 (0.45%). In PM2.5 propaganda, this year completed total 892 visitors of 10 times self- protection propaganda at village and elementary school. In addition the 282 times broadcast radio in 45 days, effectively warn people make self-protection when PM2.5 event occurred. Furthermore to hold "press conference" and "PM2.5 prevention seminar", show the county government determined to launch air pollution defense, promote cross-city air pollution control strategy cooperation.

英文關鍵字

PM2.5 sources profile, Emission coefficients, Air quality forecast/analysis model, PM2.5 pollution source(Meteorological), Control strategies assessment