Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/5021
DC FieldValueLanguage
dc.contributor.advisor林明德zh_TW
dc.contributor.advisorLin Min-Deren_US
dc.contributor.author林界宏zh_TW
dc.contributor.authorLin, Jieh-Horngen_US
dc.date1998zh_TW
dc.date.accessioned2014-06-06T06:33:49Z-
dc.date.available2014-06-06T06:33:49Z-
dc.identifier.urihttp://hdl.handle.net/11455/5021-
dc.description.abstract本研究主要目的是藉由地理資訊系統空間整合分析的能力,將反軌跡模式 與克力金插值法經由Avenue程式語言設計整合於地理資訊系統ArcView當 中,使之成為適合空氣品質分析的模組化工具,以輔助空氣污染問題之解 析與相關行政管理決策之形成。本研究主要利用環保署位於台灣中部地區 現有的十處一般空氣品質監測站之監測資料進行研究,並針對1997年高臭 氧事件日的濃度趨勢分佈之成因與臭氧前驅污染物之軌跡傳輸路徑進行個 案調查,亦應用克力金標準偏差探討現行空氣品質監測站之站址規畫,配 合中彰投地區各鄉鎮之人口密度統計及選址模擬程式運算,選擇出適合增 設新站之地點。經由案例選址模擬後之結果,彰化縣田中鎮附近為日後考 慮於中部地區新增測站時之最佳設站位置。研究結果發現,運用地理資訊 系統的確能有效管理具空間分佈特性的空氣品質監測資料,亦能迅速地進 行整合分析與模擬,而透過分析模擬結果的展示,使得對於空氣污染物的 傳輸、擴散及濃度分佈更可清楚的掌握,因此使得空氣污染問題的成因得 以澄清。zh_TW
dc.description.abstractThe focus of this research is placed on the application of geographic information systems (GIS) to the routine work of air quality monitoring. Avenue, the built-in programming language of ArcView, is used to integrate GIS with the backward trajectory model and the Kriging interpolation method in order to make GIS a modular tool that supports analysis of the air pollution problems and decision making of the decision makers. This research utilizes the air quality monitoring data of EPA in 1997 to study the air quality situation of the midland of Taiwan, especially the trend of ozone concentration distribution and the reasons resulting in ozone episode days. The transport path of precursors of ozone in ozone episode day is also studied. Furthermore, Kriging standard deviation associated with population density are applied as indexes for the planning of air quality monitoring network in the midland of Taiwan.The results of Kriging analysis for several specific cases indicate that Tienchung town of Changhua county is considered the optimum place for EPA to build a new air quality monitoring station if necessary.This study shows that GIS is a powerful tool which is able to efficiently manage spatially distributed air quality monitoring data. The visualization of the simulated results make the transportation, diffusion and distribution pattern of air pollutant more clear and understandable which is useful for researchers and decision makers to figure out the reasons and solutions of air pollution problems.en_US
dc.language.isoen_USzh_TW
dc.publisher環境工程學系zh_TW
dc.subjectGISen_US
dc.subject地理資訊系統zh_TW
dc.subjectBackward trajectory modelen_US
dc.subjectKriging interpolation methoden_US
dc.subjectArcviewen_US
dc.subjectAvenueen_US
dc.subjectair quality monitoringen_US
dc.subject反軌跡模式zh_TW
dc.subject克力金插值法zh_TW
dc.subject空氣品質監測zh_TW
dc.subject空氣品質資料庫zh_TW
dc.subject監測站選址zh_TW
dc.title地理資訊系統在空氣品質監測上之應用zh_TW
dc.titleThe Application of Geographic Information Systems to The Routine Work of Air Quality Monitoringen_US
dc.typeThesis and Dissertationzh_TW
item.languageiso639-1en_US-
item.openairetypeThesis and Dissertation-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.fulltextno fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:環境工程學系所
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