Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/91686
標題: 中部空品區PM2.5排放污染源分析
Analysis on the source of PM2.5 in Central Taiwan Air Quality District
作者: Zheng-Wei Chen
陳正暐
關鍵字: PM2.5
相關性
迴歸分析
單因子變異數分析
PM2.5
Correlation coefficient
Regression Analysis
Analysis of variance
引用: 環保署,空氣品質改善維護資訊網, http://air.epa.gov.tw/Public/suspended_particles.aspx。 環保署,空氣品質監測網, http://taqm.epa.gov.tw/taqm/zh-tw/default.aspx。 環保署,空氣污染排放量查詢系統, http://ivy2.epa.gov.tw/air-ei/new_news.htm。 資料分析暨導引系統,Pearson’s correlation coefficient, http://www.r-web.com.tw/index.php。 賀泓、王新明、王躍思、王自發、劉建國、陳運法,2013,大氣灰霾追因與控制,中國科學院院刊,第28卷第3期。 楊之遠,2001,大陸沙塵暴影響台灣地區空氣品質之監測與預報,物理雙月刊23卷第3期。 雷侑蓁,2005,移動污染源微粒空氣污染動物毒性試驗。 王瑋琦,2013,中部地區懸浮微粒特性及污染來源分析,中國醫藥大學公共衛生研究所碩士論文。 吳奎縉,2007,中部空品區PM2.5污染來源分析,國立中興大學環境工程系研究所論文。 趙重周,2011,臺中工業區與中科園區污染源排放特性分析,國立中興大學環境工程系研究所論文。 吳昱穎,2011,台中都會區秋冬季節PM2.5和PM2.5-10微粒的特性之研究,國立中興大學環境工程系研究所論文。 王曉玲,2009,台中都會區大氣懸浮微粒長期觀測之研究,國立中興大學環境工程系研究所論文。 許美華,2007,應用CMB受體模式解析中台灣沿海與都會區空氣懸浮微粒污染來源,國立中興大學環境工程系研究所論文。 施韋羽,2013,台灣都會區細懸浮微粒(PM2.5)濃度變化影響因子、污染來源及其對大氣能見度影響,國立中央大學環境工程研究所碩士論文。 于培倫,2010,中部空品區天氣型態與二次氣膠之探討分析,東海大學環境科學與工程系研究所碩士論文。 Woodruff, T. J., Parker, J. D., & Schoendorf, K. C. (2006). Fine particulate matter (PM2.5) air pollution and selected causes of postneonatal infant mortality in California. Environmental Health Perspectives, 114(5), 786. Cheng, T. J., MD and ScD., Cardiovascular Toxicity of PM2.5, 2011 International Conference on Aerosol Science and Technology and 2011 Symposium of PM2.5 Regulated Standard and Control Strategy Abstract Book, pp.4-5, Taiwan Association for Aerosol Research, Tainan.(2011) Rogge, W. F., Mazurek, M. A., Hildemann, L. M., Cass, G. R., & Simoneit, B. R. (1993). Quantification of urban organic aerosols at a molecular level: identification, abundance and seasonal variation. Atmospheric Environment. Part A. General Topics, 27(8), 1309-1330. Cohen, A. J., Ross Anderson, H., Ostro, B., Pandey, K. D., Krzyzanowski, M., Kunzli, N., ... & Smith, K. (2005). The global burden of disease due to outdoor air pollution. Journal of Toxicology and Environmental Health, Part A, 68(13-14), 1301-1307. Van Aardenne, J.A., Dentener, F.J., Olivier, J.G.J., Klein Goldewijk, C.G.M. and J. Lelieveld, “Global biogeochemical cycles”, Vol 15, Issue 4, pp.909-928.(2001) Pilinis, C., & Seinfeld, J. H. (1988). Development and evaluation of an Eulerian photochemical gas-aerosol model. Atmospheric Environment (1967), 22(9), 1985-2001. Fang, G. C., Chang, C. N., Wu, Y. S., Fu, P. P. C., Yang, C. J., Chen, C. D., & Chang, S. C. (2002). Ambient suspended particulate matters and related chemical species study in central Taiwan, Taichung during 1998–2001. Atmospheric Environment, 36(12), 1921-1928. Marlborough district council, “Smoke and smog”, http://www.marlborough.govt.nz/Environment/Air-Quality/Smoke-and--Smog.aspx.
摘要: 本次研究目的在於瞭解中部空品區四縣市PM2.5主要排放來源,並探討PM2.5與各項空氣污染物(NMHC、CO、SO2、NOx、O3)之間關係,透過相關性分析、線性迴歸分析、單因子變異數分析結果,以評估四縣市排放PM2.5主要區域、排放類別(類型)、對象,並針對未來PM2.5減量策略方向進行探討。 經由行政院環保署建置之排放清冊資料庫系統(TEDS7.1)統計98年1月至101年12月數據結果,中部空品區PM2.5排放類型主要以逸散源為主(營建施工、車輛行駛揚塵),並以臺中縣排放量占最大40.9%(5,988公噸/年),第二為彰化縣29.7%(4,346公噸/年),第三為南投縣18.6%(2,730公噸/年),最低為臺中市10.8%(1,579公噸/年)。 分析中部空品區空氣品質監測站各項空氣污染物對於PM2.5相關性結果, CO及O3+NOx相關性高於SO2、NOx及NMHC。在臺中市PM2.5與CO線性迴歸係數(R2)為0.46到0.51、O3+NOx線性迴歸結果R2為0.49到0.51。臺中縣PM2.5與CO線性迴歸R2為0.42到0.60、O3+NOx線性迴歸R2為0.44到0.50。彰化縣PM2.5與CO線性迴歸R2為0.45到0.55、O3+NOx其R2為0.36到0.48。南投縣PM2.5與CO線性迴歸R2為0.38到0.55、O3+NOx其R2為0.46到0.49。因此推估中部空品區影響PM2.5排放主要來源為移動源,次要部分為固定源(電力業、鋼鐵業)。 透過單因子變異數分析(ANOVA)結果,中部空品區以南投縣PM2.5濃度最高(35.46μg/m3),第二為臺中市(34.96μg/m3),第三為彰化縣(34.64μg/m3),第四為臺中縣(33.33μg/m3),但前三者者間並無顯著差異。臺中市區域內PM2.5排放以忠明站為主要排放污染源,但與西屯站無顯著差異(p-value為0.831)。臺中縣區域以大里站為主要排放污染源,並與豐原站及沙鹿站呈現顯著差異(p-value為0.000)。彰化縣區域以彰化站為主要排放污染源,並與線西站及二林站呈現顯著差異(p-value為0.000)。南投縣區域以南投站為主要排放污染源,並與竹山站及埔里站呈現顯著差異(p-value為0.000)。因此可知在中部空品區PM2.5排放(包括原生性及衍生性)主要來源為逸散源及移動污染源。
The purpose of this study is to understand the main emission sources of PM2.5 in the four counties (Taichung City, Taichung County, Changhua County and Nantou County) of Central Taiwan air quality districts and explore the relationship between PM2.5 and associated air pollutants (NMHC, CO, SO2, NOX and O3). The emission sources of main regional, categories (type), objects of PM2.5 in the four counties were evaluated using the correlation analysis, linear regression analysis, one-way ANOVA analysis results to assess and discuss the PM2.5 reduction strategies in the future. Four-year data from January 2009 to December 2012 were collected from Taiwan emissions data system (TEDS7.1). Central Taiwan PM2.5 emissions were mainly from fugitive sources including building construction and dust vehicle. The contribution of PM2.5 emission to Central Taiwan air quality districts followed the order: Taichung County, (5,988Mt/yr, 40.9%) > Changhua County (4,346Mt/yr, 29.7%) >Nantou County (2,730Mt/yr, 18.6%)> Taichung City (1,579Mt/yr, 10.8%). CO and O3+NOx appeared better correlation with correlation with PM2.5 than other pollutants. The correlated coefficients (R2) of CO and O3+NOx respectively were from 0.46 to 0.51 and 0.49 to 0.51 in Taichung City, from 0.42 to 0.60 and 0.44 to 0.50 in Taichung County, from 0.45 to 0.55 and 0.36 to 0.48 in Changhua County, and from 0.38 to 0.55 and 0.46 to 0.49 in Nantou County. The major and secondary influence factors of PM2.5 are mobile source and stationary source, respectively. According to one-way ANOVA analysis, the mean concentration of PM2.5 showed highest in Nantou County (35.46 μg/m3) followed by Taichung City (34.96μg/m3), Changhua County (34.64μg/m3), and then Taichung County (33.33 μg/m3). However, the differences in PM2.5 concentration among Nantou County, Taichung City and Chunghua County displayed insignificant. PM2.5 emission in the region of Chungming monitoring station is the main source of Taichung City but there are no significant differences between Chungming monitoring station and Xitun monitoring station with a p-value of 0.831. PM2.5 emission in the region of Dali monitoring station is the main source of Taichung County and there is a significant difference with Fengyuan and Shalu monitoring stations with a p-value of 0.000. PM2.5 emissions in the region of Changhua and Nantou monitoring stations are the main sources of Changhua County and Nantou County. There are significant differences with the other monitoring stations. The results revealed that the primary source and secondary source of PM2.5 pollution were from the emission of fugitive source and mobile source at four different characteristic counties in Central Taiwan.
URI: http://hdl.handle.net/11455/91686
文章公開時間: 2017-06-24
Appears in Collections:環境工程學系所

文件中的檔案:

取得全文請前往華藝線上圖書館

Show full item record
 
 
Citations:


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.