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移動污染源排放總量推估及排放管理專案工作計畫

中文摘要 移動污染源(後稱移污)為造成空氣品質不良的污染源之一,自空氣污染防制法落實並歷經修正,因移污排放受到車齡分佈、平均車行里程、用油量、燃油效率、車流量及道路長度等因子影響,各項管制策略至今仍難以透過定性、定量的方式來解釋貢獻量及政策推動間的關係,故持續精進移污排放總量推估,結合政策減量的量化需求與排放量結果有其必要性。 移污管制及政策推動需與排放量分布聯結,故本計畫著重研修各參數之合宜性,使模式更加本土化,同時具備反映出政策推動成效之機制。此外,移污排放減量因涉及私人運具管理、交通管制手段、公共運具推廣及低污染運具推動等面向,需進行跨部會協商、資料統合,以有效針對國家各行政單位間相關政策進行勾稽,協助環保署與其他各部會進行協商亦為落實移污排放管理之重要的一環。 為精進移污管制成效,掌握其各項活動指標及環境負荷,將複雜數據並轉化為有效且易於理解之圖表化方式呈現,作為後續各項移污管制精進依據,本計畫成果摘述如下: (一)完成彙整移動污染源各項活動強度指標從發布單位、發布頻率及歷史資料,並更新至108年度資料。 (二)完成106、107及108年度排放量推估,依成果數據顯示108年受車輛汰舊換新影響,排放量較105年削減20 % ~ 24 %。 (三)完成106年度各車種排放量時空權重分配,新增國道附屬路段之應用,空間結果顯示排放量主要集中於都會區、國道及部分省道路段。 (四)建立微觀移動污染源排放推估模型,獲得標準路徑下目標路段之各污染物排放總量與微觀排放係數。 (五)針對老舊大型柴油車實車測試結果,激烈駕駛行為之PM、CO及NOX排放係數高於正常駕駛30 %~146 %、3 %~54 %及2 %~37 %。 (六)針對七期燃油機車實車測試結果,CO及NOX與新車審驗結果具較顯著之誤差區間,將作為後續清冊系數建立之參考。 (七)計畫期間針對柴油大貨車減量因子及排放係數,發表1篇研討會論文及投稿1篇SCI國際期刊論文。 (八)針對轉移至大眾運輸意願問卷調查結果,70 %以上對於空污具有一定的認知及策略方向認同感;但僅49 %願意為了改善空污轉為使用大眾運輸或低污染運具。 (九)針對排放清冊分析結果,檢視區域整體公車路網及增加其路線班次、強化空氣品質維護區域管理及劃設、高里程燃油機車使用者提供里程補助誘以汰換為電動機車等方案,係為目前推動大眾運輸最佳可行策略手段。 (十)完成16種排放減量係數及其計算公式,提供不同管制策略推廣情境下之排放減量及其計算評估方法。 (十一)完成空氣污染防制方案最新進度彙整,109年1月至10月間移動污染源減少主要空氣污染物排放2萬9,380.7公噸。 (十二)空品不良期間採取現行或禁止高污染車輛,可降低4 %~20 %總揮發性有機物濃度。
中文關鍵字 排放清冊、移動污染源、車載量測系統、管制策略

基本資訊

專案計畫編號 經費年度 108 計畫經費 12620 千元
專案開始日期 2019/10/29 專案結束日期 2020/12/31 專案主持人 蔡志賢
主辦單位 空保處 承辦人 yingjhih.jhou 執行單位 景丰科技股份有限公司

成果下載

類型 檔名 檔案大小 說明
期末報告 移動污染源排放總量推估及排放管理專案工作計畫108A409.pdf 48MB

Estimating the Total Quantity of Mobile Sources and Emission Management Plan

英文摘要 The mobile source is one of pollution sources which causes poor air quality. The Air Pollution Control Act has been implemented and revised. Because emissions of the mobile source are affected by factors such as vehicle usage age, average driving mile, fuel consumption, fuel efficiency, traffic flow, road length and so on, the various control strategies are still hard to characterize. To quantify the contribution of mobile sources to air quality and evaluate the relationship between the contribution and policy promotion, it’s necessary to continuously improve the estimation for total amount of mobile source emissions, combined with the quantitative demand and emission results of policy reduction. The control and policy promotion of mobile sources need to be linked to emissions distribution. Therefore, this project evaluates and corrects the appropriateness of each parameter so that the model can be applied to Taiwan and capable of reflecting the effectiveness of policy promotion. In addition, the reduction of emissions from mobile sources, involved in private transportation mode management, traffic control, public transportation promotion, requires cross-departmental consultations and data integration to effectively clarify relevant policies among the various administrative units of the country. Negotiating with other ministries is also a part of the important work. In order to improve the effectiveness of mobile source control, comprehend the various activity indicators and environmental load of mobile sources, present complex data in useful and easily understandable graphical manners and provide suggestions on the improvement of various mobile source controls to the department, the results of this project are summarized as follows: 1. Collections of various activity intensity indicators for mobile sources from announcement units, announcement frequency and historical data have been completed. And the data up to 2019 has been updated. 2. The results of the estimation for emissions in 2017, 2018 and 2019 have been completed. Because of replacing old vehicles with new ones, the amount of emissions in 2019 were reduced by 20% to 24%, compared with that in 2016. 3. The weight distribution of time and space for various vehicles in 2017 has been completed. The result shows that emissions are mainly concentrated in metropolitan area, freeway and part of provincial highways. 4. The microscopic model for estimating emissions of mobile sources has been constructed. In the model, with the pollution from various vehicle models or vehicle types, emission factors and total amount of various pollution on target roads can be retrieved. 5. According to the actual test results of the old diesel trucks, the emission factors of PM, CO and NOX with aggressive driving behavior are obviously higher than those with normal driving behavior. 6. According to the actual test results of the seven-phase locomotive, the PM, CO and NOX emission coefficients of aggressive driving behaviors are 30% ~ 146%, 3% ~ 54% and 2% ~ 37% higher than normal driving. 7. According to reduction factors and emission factors of diesel trucks, publishing a conference paper and submitting a journal paper to the SCI is planned. 8. According to the results of questionnaire about people’s intention to transferring to public transit, 70% of interviewees have consciousness of air pollution and agree with the strategies; however, only 49% of them are willing to transfer to public transit or low emission vehicles to improve air pollution. 9. According to the results of analyzing emission inventory, strategies for promoting public transit such as inspecting whole bus road network in areas, increasing bus shifts, enhancing management and planning of air quality maintenance zones, subsidy for high-mile motorcycle users to replace vehicles with electric ones are feasible. 10. Sixteen kinds of emission reduction factors and their calculating formula have been completed. They provide the reduction of emission and calculation method under the circumstances with different control strategies. 11. Collections of the latest progress for the Air Pollution Control Act have been completed. The amount of mobile sources is reduced by 29,380.7 metric tons for air pollution emissions from January to October 2020. 12. The total concentration of VOCs is able to decrease by 4% to 20% with prohibiting high-emission vehicles during the times of poor air quality.
英文關鍵字 Emissions Inventory, Mobile Source, Portable Emission Measurement System, Control Strategy