A Rapid, Accurate, and Efficient Method to Map Heavy Metal-Contaminated Soils of Abandoned Mine Sites Using Converted Portable XRF Data and GIS
Bibliographic Data
| ID | 15468498 |
|---|---|
| Authors | Jangwon Suh (0000-0002-5724-428X, Pennsylvania State University), Hyeongyu Lee (Korea Environment Institute), Yosoon Choi (0000-0001-9616-3725, Pukyong National University, corresponding author) |
| Year | 2016 |
| Volume | 13 |
| Issue | 12 |
| Pages | 1191-1191 |
| Publication date | 2016-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph13121191 |
| PMID | 27916970 |
| OpenAlex | W2558580399 |
| Language | EN |
| Citations received | 5 |
| References cited | 26 |
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
Contamination · Environmental remediation · Inductively coupled plasma · Inductively coupled plasma atomic emission spectroscopy · Interpolation (computer graphics · Multivariate interpolation · Soil contamination · Soil Remediation · Soil test · Soil water · Computer Science · Environmental Science · Geochemistry and Geologic Mapping · Heavy metals in environment · Soil Geostatistics and Mapping · Soil Science
Heavy Metals in Archaeological Soils
Assessing impacts of mining
Modeling of Chromium, Copper, Zinc, Arsenic and Lead Using Portable X-ray Fluorescence Spectrometer Based on Discrete Wavelet Transform
Assessing Statistically Significant Heavy-Metal Concentrations in Abandoned Mine Areas via Hot Spot Analysis of Portable XRF Data
Assessing Lead, Nickel, and Zinc Pollution in Topsoil from a Historic Shooting Range Rehabilitated into a Public Urban Park
| Citations per year | 0.56 |
|---|---|
| Citation span | 2017 - 2021 (5) |
| Highly cited | No |