Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/34787
標題: 揚塵懸浮微粒(PM10)與氣象因子相關性分析 -以台東縣關山鎮空氣品質監測站為例-
Correlation Analyses between Suspended Fine Particulate (PM10) of Fugitive Dust and Meteorological Factors - A Case Study of Guan-Shan Township Monitoring Station in Taitung County -
作者: Kuo, Shih-Chu
郭石柱
關鍵字: Guan-Shan township;關山鎮;Bei-Nan stream;dust concentration;dusts;meteorology;regression analysis;卑南溪;懸浮微粒濃度(PM10);揚塵;氣象因子;迴歸分析
出版社: 水土保持學系所
引用: 1. 大葉大學(2007),「濁水溪下游段河川裸露地揚塵改善策略研究」,經濟部水利署第四河川局。 2. 中央氣象局全球資訊網:http://www.cwb.gov.tw/V5/index.htm。 3. 行政院環保署:http://taqm.epa.gov.tw/emc/default.aspx。 4. 朱震達、劉恕(1989),中國北方沙漠化及其治理,北京,科學出版社,P.1~P.31。 5. 李芳君、余進利(2003),「雲林海岸地區風飛砂調查」,第二十五屆海洋工程研討會論文集,pp. 677-684。 6. 周恆(1978),「防風定砂」,黎明文化事業公司,台北。 7. 林信輝、江永哲(1979),「砂體含水量與飛砂量之關係試驗」,中華水土保持學報,10(2),pp. 173-193。 8. 林宗儀(1998),「雲林海岸的風砂活動現況」,第二十屆海洋工程研討會論文集,pp. 443-447。 9. 林宗儀(1999),「雲林海岸風砂搬運量的估算」,第二十一屆海洋工程研討會論文集,pp. 447-452。 10. 林宗儀(2003),「溼砂對風砂搬運的影響」,第二十五屆海洋工程研討會論文集,pp. 685-688。 11. 游繁結(1986),「台灣西海岸飛砂量推估之初步研究」,中華水土保持學報,17(1):107~117。 12. 國立高雄技術學院(1997),雲林縣濁水溪南岸揚塵問題特徵與減輕對測研究,雲林縣環保局。 13. 黃偉柏、龔誠山、蘇國旭、吳念祖(2004),「鹽寮福隆沙灘風吹砂之研究」,第二十六屆海洋工程研討會論文集,P.669-676。 14. 黃建達、林宗毅、戴華山、林銳敏(1999),「揚塵飛砂事件大氣懸浮微粒粒徑分佈特性研究」,第十六屆空氣污染控制技術研討會論文集,pp.505-510。 15. 許惠娟 (1999) 大陸沙暴對台灣地區空氣品質的影響,國立台灣大學大氣科學研究所碩士論文。 16. 章裕民、許文國、胡偉興、周芷玫(2006),「裸露地PM10 排放特性及植生效益評估之研究」,中華民國環境工程學會2006 空氣污染控制技術研討會。 17. 陳文福、張楨驩(2002),「河川裸地沙塵害防治對策的研究」,經濟部水利署第八河川局。 18. 郭崇義、陳柏佐、林玉崎、石宜鑫、陳玫君(2005),利用複迴歸分析探討影響中部地區PM10事件日發生之重要因素,2005年氣膠研討會。 19. 郭崇義、鄭文伯(2007),「中部地區河川揚塵對空氣品質影響評估計畫」,行政院環境保護署專案研究報告。 20. 郭崇義、林昭遠、林傳堯、黃隆明、望熙榮(2008),河川揚塵對中部大氣懸浮微粒影響程度之評估專案計畫成果報告,中山醫學大學,EPA-97-FA17-03-A042。 21. 詹俊男(1996),「台灣地區PM10污染特性分析」,國立台灣大學環境工程研究所碩士論文。 22. 顏沛華,(2004),「漂沙與地形觀測技術評析」,財團法人成大水利海洋研究發展文教基金會。 23. 簡仲和、郭晉安(2008),「卑南溪河口段風砂問題改善對策初步探討」,經濟部水利署第八河川局,財團法人成大水利海洋研究發展文教基金會。 24. 羅思懿(2002),「導致台灣地區冷季區域性PM10高污染之氣象條件分析」,國立台灣大學大氣科學研究所碩士論文。 25. 田中貞雄(1954),「風蝕防止に關する研究」,農業氣象,10(1,2),pp. 57-59。 26. Bagnold, R.A, (1941), “The physics of blown sand and desert dunes”, Mathuen, New York. 27. Bisal. F and J.Hsieh(1996),Influence of moisture on erodibility of soil by wind,Soil Science, 60:475~480. 28. Chang, J .H.,(1968), “Climate and agriculture ”, pp. 109-117. 29. Chow, J. C., (1992),”Neighborhood-scale study of PM10 source contribution in Rubidoux California”, Atmospheric Environment,26(4):693-706. 30. Carmichael, G. R.,(1996),“Seasonal variation of aerosol composition at Cheju, Korea” Atmospheric Environment, 30,(13):2407-24l6. 31. Chu, S. H. (1997), “Meteorological Conditions Conductive to Regional High Particulate Matter Episodes”, Air and Waste Management Association 90th Annual Meeting and Exhibition, June 8-13, Toronto, Ontario, Canada 97-MP112.06. 32. Fryear, D.W., (1986), “Field dust sampler”, J. of Soil and Water Conservation, 41(2),:117-120. 33. Gillies, J. A., W. G. Nickling, and G. H. McTainsh.(1996)“Dust concentrations and particle-size characteristics of an intense dust haze event: Inland delta region”. Mali, West Africa.”Atmospheric Environment, 30: 1081-1090. 34. Jeffery, R., Tom, F. and Richard, T. (1997), “The Relationship Among TSP, PM10 ,PM2.5, and Inorganic Constituents of Atmospheric Particulate Matter at Multiple Canadian Locations,” Journal of the Air and Waste Management Association, 47:2-19. 35. Kawamura, R.(1951),「Study of sand movement by wind」,Report to the Institute of Science and Technology. 36. Pye, K., Tsoar, H., (1990), “A eolian sand and sand dunes”, London Unwin Hyman, pp. 88-122. 37. Sorensen, M. (1991), “An analytical model of wind-blown sand transport”, Acta Mechanica. Supplementum , pp. 67-82. 38. Wilson, S.J., Cooke, R.U., (1980), “Wind erosion in soil erosion”, John Wiley and Sons, pp. 217-251. 39. Yang K.L. (2002) Spatial and seasonal variation of PM10 mass concentrations in Taiwan. Atmos. Environ, 36: 3403-3411.
摘要: 
研究區域─臺東縣關山鎮,位於花東縱谷南端,地質屬卑南大溪沖積原野地,在強烈東北季風或夏季颱風侵襲前外圍環流影響期間,卑南溪裸露河床地常揚起大量微塵,同時隨著風場飄揚、傳送,導致關山鎮空中瀰漫著高濃度之懸浮微粒,造成當地居民行車安全與生活品質相當大之影響。尤其,飄浮在空中之微塵(小於10μm),可深入人體肺部深處,對人體健康造成相當之危害。
為瞭解關山市區揚塵災害期間,懸浮微粒濃度(PM10)與氣象因子之特性,以供未來揚塵預警或災害防制參考,本文茲蒐集行政院環境保護署2006~2007年台東縣關山鎮空氣品質監測資料,彙整懸浮微粒濃度(PM10)年平均值達65 μg/m3以上資料,及其對應之風速、風向、氣溫、濕度、降雨量等氣象因子,進行懸浮微粒濃度與氣象因子相關性分析,並嘗試建立懸浮微粒濃度預測方程式。
由懸浮微粒濃度(PM10>65 μg/m3)與氣象因子時間歷程分析資料知,懸浮微粒濃度大致與風速成正比關係與相對濕度成反比關係。另由懸浮微粒濃度與各氣象因子(單一因子與多重因子)迴歸分析結果顯示,以夏季期間,懸浮微粒濃度與風速(E)與濕度有較高的相關性(R2 =0.85),但整體之懸浮微粒濃度與氣象因子相關性並不高;其原因乃卑南溪裸露河床自北方順時針到南方環伺關山鎮,其懸浮微粒可能來自不同方向,且關山測站位於市區內,其所測之風場已受到破壞,失去引致裸露河床揚塵風場性質。其中,本文較佳之懸浮微粒濃度(PM10)預測方程式如下:

PM10=167.94e-0.021RHe0.296W(E)
式中, RH:相對濕度(%)
W(E):風速(東分量)(m/s)

Guan-Shan Township is located at south of Hualien and Taitung Longitudinal Valley, and the geology is an alluvial plain of Bei-Nan Stream. While the bare bed of the BeiNan Stream is attacked by violent winter monsoon or outer circumfluence of typhoon, the fine dusts from the stream are often pervaded around Guan-Shan Township. This calamity made a great impact on the local traffic safe and the quality of life of the local people. Additionally, the fine dusts, the diameter size is smaller than 10 μm, can be easily breathed into the lung, and those will seriously harm healthy of local people.
To study the relationship between the dust concentration (PM10 > 65 μg/m3) and the meteorology, the monitoring data of dust concentration (PM10), wind (W), temperature (T), relative humidity (RH), and rainfall (I) at Guan-Shan station from 2006 to 2007 were collected and analyzed. The results show that the dust concentration (PM10) is directly proportional to wind speed and temperature, but the dust concentration and relative humidity are in inverse proportion. According to the regression trend of PM10, the relationship between all of dust concentration and meteorology factors is not very well. Because the fine dusts of Guan-Shan Township come from the different directions of the bare bed of the BeiNan Stream. In addition, the monitoring station is setup in Guan-Shan Township. The wind, which causes the dust of bare bed, has been destroyed by structures or buildings in the township. But this study found that using the data of east component of summer wind speed and relative humidity could give the best estimation to PM10 with an R-squared value of 0.85, and may be utilized to the forecast warning of dust in the downtown. The predicted equation is shown in following.

where RH is the relative humidity (%), W(E) is the east component of wind speed (m/sec)
URI: http://hdl.handle.net/11455/34787
其他識別: U0005-1808200912221400
Appears in Collections:水土保持學系

Show full item record
 
TAIR Related Article

Google ScholarTM

Check


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