首页> 外文期刊>International Journal of Environmental Research and Public Health >A Rapid, Accurate, and Efficient Method to Map Heavy Metal-Contaminated Soils of Abandoned Mine Sites Using Converted Portable XRF Data and GIS
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A Rapid, Accurate, and Efficient Method to Map Heavy Metal-Contaminated Soils of Abandoned Mine Sites Using Converted Portable XRF Data and GIS

机译:使用转换后的便携式XRF数据和GIS快速,准确,高效地绘制废弃矿场重金属污染土壤的图

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The use of portable X-ray fluorescence (PXRF) and inductively coupled plasma atomic emission spectrometry (ICP-AES) increases the rapidity and accuracy of soil contamination mapping, respectively. In practice, it is often necessary to repeat the soil contamination assessment and mapping procedure several times during soil management within a limited budget. In this study, we have developed a rapid, inexpensive, and accurate soil contamination mapping method using a PXRF data and geostatistical spatial interpolation. To obtain a large quantity of high quality data for interpolation, in situ PXRF data analyzed at 40 points were transformed to converted PXRF data using the correlation between PXRF and ICP-AES data. The method was applied to an abandoned mine site in Korea to generate a soil contamination map for copper and was validated for investigation speed and prediction accuracy. As a result, regions that required soil remediation were identified. Our method significantly shortened the time required for mapping compared to the conventional mapping method and provided copper concentration estimates with high accuracy similar to those measured by ICP-AES. Therefore, our method is an effective way of mapping soil contamination if we consistently construct a database based on the correlation between PXRF and ICP-AES data.
机译:便携式X射线荧光(PXRF)和电感耦合等离子体原子发射光谱法(ICP-AES)的使用分别提高了土壤污染测绘的速度和准确性。在实践中,通常需要在有限的预算范围内重复几次土壤污染评估和测绘程序。在这项研究中,我们使用PXRF数据和地统计空间插值方法开发了一种快速,廉价且准确的土壤污染测绘方法。为了获得大量高质量的数据进行插值,使用PXRF和ICP-AES数据之间的相关性,将在40个点处分析的原位PXRF数据转换为转换后的PXRF数据。该方法已应用于韩国的一个废弃矿场,以生成铜的土壤污染图,并经过了调查速度和预测准确性的验证。结果,确定了需要土壤修复的区域。与传统的映射方法相比,我们的方法大大缩短了映射所需的时间,并提供了与ICP-AES相似的高精度铜浓度估算。因此,如果我们始终根据PXRF和ICP-AES数据之间的相关性构建数据库,那么我们的方法是绘制土壤污染的有效方法。

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