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Li L, Zhang Y, Zhang L, Wu B, Gan X. Spatial diffusion of potentially toxic elements in soils around non-ferrous metal mines. ENVIRONMENTAL RESEARCH 2024; 257:119285. [PMID: 38823614 DOI: 10.1016/j.envres.2024.119285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 05/15/2024] [Accepted: 05/29/2024] [Indexed: 06/03/2024]
Abstract
This study focuses on the diffusion patterns of principal ore-forming elements (Pb and Zn) and associated elements (Cd, Cu, Cr, and As) in lead-zinc ore. Sampling points in upwind and downwind directions of lead-zinc ore areas at various densities (1 N/km2 - 4 N/km2) were categorized. This study analyzed the statistical relationship between the content of PTEs in the soil around lead-zinc ore and the source strength and dominant wind direction, constructed one-dimensional and two-dimensional diffusion model, and simulated the EER scope caused by PTEs. The findings indicate that: (1) concerning source strength, the content of PTEs in soils of high-density ore aggregation areas is significantly higher than in low-density ore aggregation areas. However, the impact of source strength decreases with decreasing ore grade, with a difference in Pb content of 1.71 times among principal ore-forming elements and almost consistent Cd content among associated elements. (2) Regarding the transport pathways, for most PTEs, the inverse proportion coefficients downwind are higher than upwind, approximately 1.18-3.63 times, indicating greater migration distances of PTEs downwind due to atmospheric dispersion. (3) By establishing a two-dimensional risk diffusion model, the study simulates the maximum radius of risk diffusion (r = 5.7 km), the 50% probability radius (r = 3.1 km), and the minimum radius (r = 0.8 km) based on the maximum, median, and minimum values statistically obtained from the EER. This study provides a scientific basis for implementing preventive measures for PTEs accumulation in soil within different pollution ranges. Different risk prevention and control measures should be adopted for PTEs accumulation in soil within the three ranges after cutting off pollution sources. Subsequent research should further investigate the impact and contribution of atmospheric transmission and surface runoff on the diffusion of PTEs in areas with high risk near lead-zinc ore.
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Affiliation(s)
- Linlin Li
- Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China
| | - Yunlong Zhang
- Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China
| | - Lingyan Zhang
- Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, PR China
| | - Bo Wu
- Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, PR China.
| | - Xinhong Gan
- State Environmental Protection Key Laboratory of Soil Environmental Management and Pollution Control, Nanjing Institute of Environmental Science, Ministry of Ecology and Environment of China, Nanjing, 210042, PR China.
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Cai N, Wang X, Zhu H, Hu Y, Zhang X, Wang L. Isotopic insights and integrated analysis for heavy metal levels, ecological risks, and source apportionment in river sediments of the Qinghai-Tibet Plateau. ENVIRONMENTAL RESEARCH 2024; 251:118626. [PMID: 38467358 DOI: 10.1016/j.envres.2024.118626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 03/02/2024] [Accepted: 03/04/2024] [Indexed: 03/13/2024]
Abstract
The research was carried out to examine the pollution characteristics, ecological risk, and origins of seven heavy metals (Hg, As, Pb, Cu, Cd, Zn, and Ni) in 51 sediment samples gathered from 8 rivers located on the Qinghai-Tibet Plateau (QTP) in China. The contents of Hg and Cd were 5.0 and 1.1 times higher than their background values, respectively. The mean levels of other measured heavy metals were below those found naturally in the local soil. The enrichment factor showed that the study area exhibited significantly enriched Hg with 70.6% sampling sites. The Cd contents at 19.6% of sampling sites were moderately enriched. The other sampling sites were at a less enriched level. The sediments of all the rivers had a medium level of potential ecological risk. Hg was the major ecological risk factor in all sampling sites, followed by Cd. The findings from the positive matrix factorization (PMF) analysis shown agricultural activities, industrial activities, traffic emissions, and parent material were the major sources. The upper, middle, and low reaches of the Quanji river had different Hg isotope compositions, while sediments near the middle reaches were similar to the δ202Hg of the industrial source. At the upstream sampling sites, the Hg isotope content was very close to the background level. The results of this research can establish a strong scientific sound to improve the safety of the natural circumstances of rivers on the QTP.
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Affiliation(s)
- Na Cai
- Key Laboratory of Green and High-end Utilization of Salt Lake Resources, Qinghai Institute of Salt Lakes, Chinese Academy of Sciences, Xining, 810008, China; Qinghai Provincial Key Laboratory of Geology and Environment of Salt Lakes, Xining, 810008, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xueping Wang
- Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang'an University, Xi'an, 710054, China; School of Water and Environment, Chang'an University, Xi'an, 710054, China
| | - Haixia Zhu
- Key Laboratory of Green and High-end Utilization of Salt Lake Resources, Qinghai Institute of Salt Lakes, Chinese Academy of Sciences, Xining, 810008, China; Qinghai Provincial Key Laboratory of Geology and Environment of Salt Lakes, Xining, 810008, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yan Hu
- Qaidam Comprehensive Geological and Mineral Exploration Institute of Qinghai Province, Golmud, 816099, China; Qinghai Provincial Key Laboratory of Exploration and Research of Salt Lake Resources in Qaidam Basin, Golmud, 816099, China
| | - Xiying Zhang
- Key Laboratory of Green and High-end Utilization of Salt Lake Resources, Qinghai Institute of Salt Lakes, Chinese Academy of Sciences, Xining, 810008, China; Qinghai Provincial Key Laboratory of Geology and Environment of Salt Lakes, Xining, 810008, China.
| | - Lingqing Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
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