Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/33008
DC FieldValueLanguage
dc.contributor黃隆明zh_TW
dc.contributor.author張台聖zh_TW
dc.contributor.authorChang, Tai-Shengen_US
dc.contributor.other水土保持學系所zh_TW
dc.date2012en_US
dc.date.accessioned2014-06-06T07:44:41Z-
dc.date.available2014-06-06T07:44:41Z-
dc.identifierU0005-2008201215471600en_US
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dc.identifier.urihttp://hdl.handle.net/11455/33008-
dc.description.abstract本研究採用FDM(Fugitive Dust Model)數值模式來模擬烏溪鄰近地區揚塵擴散之情形。研究中從事風洞試驗重新建立烏溪揚塵量(PM10)與風速之關係式,以修正揚塵量之高估,並探討無探空資料時混合層高度參數應用之方法,另外,在FDM中採用面源設置,以配合河川裸露地面積及位置之變化,而後針對烏溪下游裸露地進行FDM揚塵模擬。首先,分析不同裸露地塊數模擬值之比對,據以說明FDM對河川揚塵推估之適用性,接著探討鄰近測站氣象資料之選用順序,並以Arc-GIS與Surfer進行繪圖與後續處理分析。 風洞試驗結果:將風洞高度剖面設置十個量測點並以控制體積之方式進行計算,其有效修正揚塵量高估之情況,而修正後烏溪揚塵量(PM10)與風速之關係式為: E = "5.63×" 〖" 10" 〗^"-7" 〖" U" 〗^"2.6952" 混合層高度參數之結果:以台中試區驗證結果說明,Nozaki法的正確性優於Holzworth法,因此,在無探空資料時,應用Nozaki法估算混合層高度能獲得較佳之結果。 烏溪FDM模式之執行結果:基準值7.4 (μg/m3-hr)介於三塊裸露地模擬值0.73 (μg/m3-hr)與四塊裸露地模擬值8.1 (μg/m3-hr)之間,應屬合理,因此,FDM應用於烏溪河川揚塵推估是值得信賴的。在氣象資料選用順序中,優先順序為新庄國小測站、西屯測站、彰化測站、沙鹿測站,最後為線西測站,然而,風向及風速是影響FDM揚塵範圍及濃度值的重要因素,因此,使用不同測站之氣象資料進行模擬時仍會有差異存在。zh_TW
dc.description.abstractThe research adopted the digital model of FDM (Fugitive Dust Model) to simulate the fugitive dust dispersion situation at the neighboring regions of Wu River. In the research, the wind tunnel test was implemented to re-establish the relation between Wu River fugitive dust quantity (PM10) and wind speed. This was to correct the overestimation of fugitive dust quantity. The application method of mixing layer height parameter at the time without sounding data was explored. Besides, area source setting was adopted in FDM to cooperate with the change of area and location of bare lands of the river. Then, the research aimed at the bare lands in downstream areas of Wu River to do FDM fugitive dust simulation later. Method: First of all, the simulation values of different number of bare lands were analyzed, and the comparison was done. Based on it, FDM’s applicability in river fugitive dust estimation could be explained. Next, the preferred order of meteorological data of nearby general air quality test stations was probed. Arc-GIS and Surfer were used to do drafting and subsequent analysis. Wind tunnel test results: To set up ten measuring points at the cross-section of the height of wind tunnel and use the way of volume control to do calculation could effectively correct the situation of fugitive dust quantity overestimation. The relation between Wu River fugitive dust quantity (PM10) and wind speed after revision was as follows: E = "5.63×" 〖" 10" 〗^"-7" 〖" U" 〗^"2.6952" The results of mixing layer height parameter: The test and verification results of Taichung Research Test Area could explain that the correctness of Nozaki method was more excellent than that of Holzworth method. Therefore, when there were no sounding data, applying Nozaki method to estimate mixing layer height could get better results. The execution results of Wu River FDM Model: The reference value 7.4 (μg/m3-hr) was between the simulation value of three pieces of bare land 0.73 (μg/m3-hr) and the simulation value of four pieces of bare land 8.1 (μg/m3-hr), and it was reasonable. Hence, the application of FDM in Wu River fugitive dust estimation was trustworthy. Regarding the preferred order of meteorological data, the preferred order was: General Air Quality Test Station of Sinjhuang Elementary School, of Xitun, of Changhua, of Shalu, and finally of Xianxi. However, the wind direction and wind speed were the important factors of influencing FDM particle pollution scope and the value of density. Therefore, the difference still existed when using meteorological data of different general air quality test station to do simulation.en_US
dc.description.tableofcontents摘要 I Abstract II 符號說明表 IX 第一章、緒論 1 1.1 前言 1 1.2 研究動機 2 1.3 研究目的 2 第二章、文獻回顧 4 2.1 風速與揚塵之相關研究 4 2.2 混合層高度之相關研究 6 2.3 懸浮微粒PM10之相關研究 9 2.4 FDM揚塵模式之相關研究 10 第三章、材料與方法 12 3.1 試區概況與FDM理論背景 12 3.1.1 試區概況 12 3.1.2 FDM理論背景 13 3.2 FDM簡介與模式之參數設定 15 3.2.1 FDM簡介 15 3.2.2 模式之參數設定 16 3.3 FDM前置作業 17 3.3.1整數參數 17 3.3.2 實數參數 19 3.3.3 汙染源參數設定 21 3.3.4 氣象資料參數設定 25 3.4 FDM模擬值之比對方法 28 3.5 烏溪FDM模式之執行 30 3.5.1 不同裸露地塊數之比對 30 3.5.2 氣象資料之選用順序 30 第四章、結果與討論 31 4.1 風速與揚塵排放率關係式之建立 31 4.2 混合層高度取得依據 37 4.2.1 台北與花蓮混合層高度相關性之探討 37 4.2.2 台中混合層高度估算法之比較 41 4.3 烏溪FDM模式之執行 45 4.3.1 不同裸露地塊數之比對 47 4.3.2 氣象資料之選用順序 51 第五章、結論與建議 67 5.1 結論 67 5.2 建議 68 參考文獻 69 附錄 72zh_TW
dc.language.isozh_TWen_US
dc.publisher水土保持學系所zh_TW
dc.relation.urihttp://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-2008201215471600en_US
dc.subjectFDMzh_TW
dc.subjectFDMen_US
dc.subject風洞zh_TW
dc.subject混合層高度zh_TW
dc.subjectWind tunnelen_US
dc.subjectMixing layer heighten_US
dc.titleFDM應用於烏溪揚塵推估之探討zh_TW
dc.titleA Study on Estimation of Wu River Fugitive Dust by FDMen_US
dc.typeThesis and Dissertationzh_TW
item.grantfulltextnone-
item.openairetypeThesis and Dissertation-
item.cerifentitytypePublications-
item.fulltextno fulltext-
item.languageiso639-1zh_TW-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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