碩士 / 弘光科技大學 / 環境工程研究所 / 104 / Due to the limited budget and time, the field potable X-ray fluorescence (FPXRF) has frequently applied for the soil heavy metal analysis during investigation and remediation of the contaminated farmland sites in Taiwan recently. It was proved to be a very good qualification tool on site to fast screen the soil samples with the higher concentrations which were delivered to the certified labs for further quantification. Fast screen may improve the efficiency of sampling and analysis that is more important especially for the contaminated sites with giant area.
This study conducted the sampling and analysis of farmland soils from central Taiwan costal area including Taichung and Changhua. The total 59 soil samples were analyzed with 8 heavy metals including As, Cd, Cr, Cu, Hg, Ni, Pb and Zn by FPXRF and ICP-OES with pretreatment of microwave assisted aqua regia digestion, respectively. The soil samples with dried or without dried were also compared. The objective of this study was to develop the correlations of heavy metal concentrations with statistic methods by FPXRF and ICP-OES while obtaining the standard operation procedure of FPXRF as the field fast screen tool.
From the results, the 8 elements such as As, Cd, Cr, Cu, Hg, Ni, Pb and Zn were analyzed concentration distributions, relations and linear regression by FPXRF and ICP-OES. Though the concentrations of Cd and Hg were under the detection limits, the results of 6 elements as below:
1. Most of the metal concentrations were lower than the regulated values.
2. The high significant corrections by SPSS and linear regression analysis were observed for 6 elements. The correlation coefficients range were (1) dried and wet soil by FPXRF : 0.851-0.949; (2) dried and wet soil by FPXRF (moisture < 20%) : 0.899-0.961; (3) dried and wet soil by FPXRF (moisture > 20%) : 0.830 - 0.968; (4) wet soil by FPXRF and ICP-OES : 0.799-0.948; (5) wet soil by FPXRF (moisture < 20%) and ICP-OES : 0.830-0.968; (6) wet soil by FPXRF (moisture > 20%) and ICP-OES : 0.782-0.963; (7) dried soil by FPXRF and ICP-OES : 0.883-0.994;
3. The linear regression R2 range: (1) dried and wet soil by FPXRF : 0.7243-0.9015, As < Zn < Cu < Ni < Pb < Cr; (2) dried and wet soil by FPXRF (moisture < 20%) : 0.8075-0.9244, Ni < As < Cu < Zn < Pb < Cr; Thus, the correlation was better between wet soil with moisture < 20% and dried soil by FPXRF. (3) dried and wet soil (moisture > 20%) by FPXRF : 0.6889-0.9366, As < Zn < Cu < Ni < Pb < Cr. Thus, the correlation was worse between wet soil (moisture > 20%) and dried soil by FPXRF. (4) wet soil by FPXRF and ICP-OES : 0.6383-0.8984, As < Cu < Zn < Ni < Pb < Cr; (5) wet soil by FPXRF (moisture < 20%) and ICP-OES : 0.6890-0.9367, As < Cu < Zn < Ni < Pb < Cr. Thus, the relation was better between wet soil (moisture < 20%) by FPXRF and ICP-OES. (6) wet soil by FPXRF (moisture > 20%) and ICP-OES : 0.6122-0.9266, As < Cu < Zn < Ni < Pb < Cr. Thus, the relation was worse between wet soil (moisture > 20%) by FPXRF and ICP-OES. (7) dried soil by FPXRF and ICP-OES : 0.7811-0.9888, As < Cu < Pb < Ni < Zn < Cr.
| Identifer | oai:union.ndltd.org:TW/104HKU00515018 |
| Date | January 2016 |
| Creators | YAO, BO-JYUN, 姚伯軍 |
| Contributors | CHANG, MING-CHIN, 張明琴 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 109 |
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