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研究生:楊晴晴
研究生(外文):Ching-Ching Yang
論文名稱:地理統計結合X-射線螢光光譜分析應用於推估土壤重金屬的空間分佈
論文名稱(外文):Application of Geostatistics Combined with XRF Analysis to the Estimation of Heavy-Metal Spatial Distributions in Soil
指導教授:莊愷瑋莊愷瑋引用關係
指導教授(外文):Kai-Wei Juang
學位類別:碩士
校院名稱:國立嘉義大學
系所名稱:農藝學系研究所
學門:農業科學學門
學類:一般農業學類
論文種類:學術論文
畢業學年度:100
語文別:中文
論文頁數:105
中文關鍵詞:土壤污染重金屬X射線螢光光譜空間變異克利金法
外文關鍵詞:soil pollutionheavy metalX-ray fluorescence spectroscopyspatial variationkriging
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土壤重金屬的空間分佈是界定危害範圍與擬定污染整治策略的重要依據,然而取得正確可靠的重金屬空間分佈資訊,常必須仰賴密集採樣的土壤調查與大量的化學檢測分析。本研究將採集的土樣分別以不同篩目規格與含水量,以攜帶式X-射線螢光光譜儀(PXRF)檢測土壤銅和鋅濃度,並與所有樣本的王水萃取-原子吸收光譜法(王水/AAS法)之測值做比較。結果顯示,多數的XRF讀值雖低於王水/AAS法的測值,但兩者間仍有顯著的高度相關,可經由建立兩者的直線迴歸模式,修正XRF分析受基質效應干擾的偏差,故僅需少數的王水/AAS法測值資料以建構與XRF讀值的關係模式,便可將XRF讀值修正換算成相對應於王水/AAS法的估算值。再者,以地理統計的空間推估模式,將XRF讀值資料經關係模式換算成對應於王水/AAS法的估算值,應用於推估土壤重金屬濃度的空間分佈,其推估的準確度高,可提供界定污染危害範圍的可靠依據。因此,本研究提出以地理統計結合XRF分析的應用策略,確實能有效減少王水/AAS法的分析樣本數,並正確推估出重金屬濃度的空間分佈。
Spatial distribution of heavy metals in soil is essential for delineating hazardous areas and determining remediation strategies. However, intensive sampling for soil survey and large amounts of chemical analysis and measurements are required for obtaining the reliable information about the spatial distribution of heavy metals. In this study, the samples were divided in different mesh and moistures, measuring the concentration of copper and zinc in soil by using the portable X-ray fluorescence spectrometer (PXRF), and compared with the measurements of aqua regia extraction/ atomic absorption spectroscopy (aqua regia/ AAS) for each sample. In the results, even the most of XRF readings were lower than aqua regia/ AAS measuring, both of them were have significantly correlation. The linear regression models between XRF reading and aqua regia/AAS measuring were created for adjustments in XRF reading to prevent from violation of the matrix effect. If one obtains enough data by aqua regia/AAS measuring to develop a relationship model between XRF reading and aqua regia/AAS measuring, XRF readings thus can be transformed into the aqua regia/AAS measuring domain. In addition, the reliable estimation of spatial distribution of heavy metals in soil was performed by using the spatial estimation model of geostatistics with the transformed data of aqua regia/AAS measuring from XRF readings. The results indicated that geostatisctics combined with XRF analysis could be used to estimate the spatial distribution of heavy metals correctly with a least dataset obtained by aqua regia/AAS.
中文摘要……………………………………………………………… II
英文摘要……………………………………………………………… III
表目錄……………………………………………………………… VIII
圖目錄………………………………………………………………… X
附表………………………………………………………………… XIV
第一章、 緒論……………………………………………………………1
第二章、 材料與方法………………………………………………… 10
第一節、原理……………………………………………………… 10
2.1.1、X-射線螢光光譜儀………………………………………10
2.1.2、地理統計…………………………………………………14
第二節、研究區域位置與採樣方法……………………………… 17
第三節、樣本處理與分析………………………………………… 19
2.3.1、XRF對土壤銅、鋅濃度的測定…………………………19
2.3.2、王水萃取-原子吸收光譜法對土壤銅、鋅濃度的測定…20
第四節、資料分析………………………………………………… 21
2.4.1、統計分析…………………………………………………21
2.4.2、地理統計結合XRF分析推估土壤重金屬濃度的空間分佈
……………………………………………………………21
第三章、 結果與討論………………………………………………… 24
第一節、 土壤粒徑對XRF判讀的影響…………………………… 24
3.1.1、各篩目土壤的銅、鋅濃度數據統計分析………………24
3.1.2、各篩目土壤的銅、鋅濃度相關性分析…………………34
1. 各分層間濃度的相關性……………………………………34
2. XRF與王水/AAS檢測濃度的相關性…………………… 37
3.1.3、各篩目土壤銅、鋅濃度的空間分佈……………………40
第二節、土壤含水量對XRF判讀的影響………………………… 59
3.2.1、各含水量土壤的銅、鋅濃度數據統計分析……………59
3.2.2、各含水量土壤的銅、鋅濃度相關性分析………………66
1. 各分層間濃度的相關性……………………………………66
2. XRF與王水/AAS檢測濃度的相關性……………………68
3.2.3、各含水量土壤銅、鋅濃度的空間分佈…………………71
第三節、地理統計結合XRF分析推估土壤銅濃度的空間分佈… 85
3.3.1、土壤銅濃度資料的基本統計量與相關分析……………85
3.3.2、土壤銅濃度的XRF讀值與王水/AAS測值之迴歸模式
……………………………………………………………87
3.3.3、土壤銅濃度的空間相依性………………………………89
3.3.4、土壤銅濃度的空間分佈推估……………………………90
第四章、 結論………………………………………………………… 93
參考文獻……………………………………………………………… 94

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