Mapping Copper and Lead Concentrations at Abandoned Mine Areas Using Element Analysis Data from ICP-AES and Portable
Hyeongyu Lee1, Yosoon Choi2, Jangwon Suh3
1Department of Energy Resources Engineering, Pukyong National University, Busan 48513, Korea. lhg6197@gmail.com.
Mapping soil contamination from potentially toxic trace elements (PTEs) is crucial for mining areas. Combining inductively coupled plasma atomic emission spectrometry (ICP-AES) and portable X-ray fluorescence (PXRF) data improves spatial accuracy for soil contamination maps.
Area of Science:
- Environmental Science
- Geochemistry
- Geostatistics
Background:
- Spatial variation of potentially toxic trace elements (PTEs) in soil requires mapping for effective contamination management in mining areas.
- Existing geostatistical studies often rely solely on ICP-AES data, which is limited by high costs and long analysis times.
- This limitation hinders comprehensive soil contamination assessment, especially in abandoned mine sites.
Purpose of the Study:
- To compare the prediction performance of different geostatistical approaches for mapping soil PTEs.
- To evaluate the effectiveness of integrating ICP-AES and portable X-ray fluorescence (PXRF) data for improved spatial accuracy.
- To identify the optimal method for generating soil contamination maps in abandoned mining areas.
Main Methods:
- Employed ordinary kriging and co-kriging geostatistical methods.
- Utilized both ICP-AES and portable X-ray fluorescence (PXRF) analysis data for copper and lead concentrations.
- Compared four approaches: ordinary kriging with ICP-AES data, PXRF data, combined ICP-AES and transformed PXRF data, and co-kriging with ICP-AES and PXRF data.
- Validated results using an independent dataset.
Main Results:
- Ordinary kriging applied to both ICP-AES and transformed PXRF data demonstrated the highest accuracy in mapping copper and lead concentrations.
- This combined approach effectively captured spatial distribution and minimized estimation errors.
- The study identified a superior method for soil contamination assessment in abandoned mines.
Conclusions:
- Integrating ICP-AES and transformed PXRF data with ordinary kriging offers a more accurate and efficient method for soil contamination mapping.
- This approach overcomes the limitations of relying solely on expensive and time-consuming ICP-AES analysis.
- The findings provide a practical strategy for environmental management and remediation of mining-affected soils.
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