Pollution Risk Prediction for Cadmium in Soil from an Abandoned Mine Based on Random Forest Model
Bibliographic Data
| ID | 15470874 |
|---|---|
| Authors | Jie Cao (0000-0001-8268-954X, Central South University), Zhaohui Guo (0000-0002-0916-455X, Central South University, corresponding author), Yongjun Lv (0000-0002-1879-481X), Man Xu (0000-0003-1653-8510), Chi-Yue Huang (Central South University), Huizhi Liang (Central South University) |
| Year | 2023 |
| Volume | 20 |
| Issue | 6 |
| Pages | 5097-5097 |
| Publication date | 2023-03-14 |
| Peer Reviewed | Yes |
| 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/ijerph20065097 |
| PMID | 36982005 |
| OpenAlex | W4324152546 |
| Language | EN |
| References cited | 8 |
It is highly uncertain as to the potential risk of toxic metal(loid)s in abandoned mine soil. In this study, random forest was used to predict the risk of cadmium pollution in the soils of an abandoned lead/zinc mine. The results showed that the random forest model is stable and precise for the pollution risk prediction of toxic metal(loid)s. The mean of Cd, Cu, Tl, Zn, and Pb was 6.02, 1.30, 1.18, 2.03, and 2.08 times higher than the soil background values of China, respectively, and their coefficients of variation were above 30%. As a case study, cadmium in the mine soil had "slope" hazard characteristics while the ore sorting area was the major source area of cadmium. The theoretical values of the random forest model are similar to the practical values for the ore sorting area, metallogenic belt, riparian zone, smelting area, hazardous waste landfill, and mining area. The potential risk of soil Cd in the ore sorting area, metallogenic belt, and riparian zone are extremely high. The tendency of pollution risk migrates significantly both from the ore sorting area to the smelting area and the mining area, and to the hazardous waste landfill. The correlation of soil pollution risk is significant between the mining area, the smelting area, and the riparian zone. The results suggested that the random forest model can effectively evaluate and predict the potential risk of the spatial heterogeneity of toxic metal(loid)s in abandoned mine soils
Cadmium · Hazardous waste · Metallurgy · Mining engineering · Riparian zone · Smelting · Soil contamination · Soil water · Sorting · Tailings · Waste management · Engineering · Environmental Science · Geochemistry and Geologic Mapping · Heavy metals in environment · Mine drainage and remediation techniques · Ecology · Environmental Engineering · Geology · Pollution · Soil Science
Comprehensive assessment of pollution indices, sources apportionment and ecological risk mapping of heavy metals in agricultural soils of Raebareli District, Uttar Pradesh, India, employing a GIS approach
Spatial Distribution and Migration Characteristics of Heavy Metals in Grassland Open-Pit Coal Mine Dump Soil Interface
Pollution Profiles, Source Identification and Health Risk Assessment of Heavy Metals in Soil near a Non-Ferrous Metal Smelting Plant
Comparative Evaluation of Heavy Metal Concentrations in Residents of Abandoned Metal Mines
Groundwater Quality, Health Risk Assessment, and Source Distribution of Heavy Metals Contamination around Chromite Mines
Application of Geostatistical Analysis and Random Forest for Source Analysis and Human Health Risk Assessment of Potentially Toxic Elements (PTEs) in Arable Land Soil
Dissolved Heavy Metal Pollution and Assessment of a Karst Basin around a Mine, Southwest China
Contamination Evaluation and Source Analysis of Heavy Metals in Karst Soil Using Unmix Model and Pb-Cd Isotopes
| Citation velocity | historical |
|---|---|
| Highly cited | No |