| Literature DB >> 35622644 |
Muhammad Adnan1,2, Baohua Xiao1, Peiwen Xiao1,2, Peng Zhao1,2, Ruolan Li1,2, Shaheen Bibi3,4.
Abstract
Contamination by heavy metals is a significant issue worldwide. In recent decades, soil heavy metals pollutants in China had adverse impacts on soil quality and threatened food security and human health. Anthropogenic inputs mainly generate heavy metal contamination in China. In this review, the approaches were used in these investigations, focusing on geochemical strategies and metal isotope methods, particularly useful for determining the pathway of mining and smelting derived pollution in the soil. Our findings indicate that heavy metal distribution substantially impacts topsoils around mining and smelting sites, which release massive amounts of heavy metals into the environment. Furthermore, heavy metal contamination and related hazards posed by Pb, Cd, As, and Hg are more severe to plants, soil organisms, and humans. It's worth observing that kids are particularly vulnerable to Pb toxicity. And this review also provides novel approaches to control and reduce the impacts of heavy metal pollution. Hydrometallurgy offers a potential method for extracting metals and removing potentially harmful heavy metals from waste to reduce pollution. However, environmentally friendly remediation of contaminated sites is a significant challenge. This paper also evaluates current technological advancements in the remediation of polluted soil, such as stabilization/solidification, natural attenuation, electrokinetic remediation, soil washing, and phytoremediation. The ability of biological approaches, especially phytoremediation, is cost-effective and favorable to the environment.Entities:
Keywords: heavy metal; hydrometallurgy; pollution; remediation; resource recovery; smelting site; soil
Year: 2022 PMID: 35622644 PMCID: PMC9147308 DOI: 10.3390/toxics10050231
Source DB: PubMed Journal: Toxics ISSN: 2305-6304
Classes of single indices of pollution.
| Index | Formula | Range of Indices | Soil Conditions | References |
|---|---|---|---|---|
| Geoaccumulation Index ( |
| Unpolluted | [ | |
| 0 ≤ | Unpolluted to moderately polluted | |||
| 1 ≤ | Moderately polluted | |||
| 2 ≤ | Moderately to strongly polluted | |||
| 3 ≤ | Strongly polluted | |||
| 4 ≤ | Strongly to extremely polluted | |||
| Extremely high polluted | ||||
| Pollution Index ( |
| Unpolluted, Low level of pollution | [ | |
| 1 < | Moderate polluted | |||
| 3 ≤ | Strong polluted | |||
| Enrichment Factor ( |
| Deficiency to minimal enrichment | [ | |
| Moderate enrichment | ||||
| Significant enrichment | ||||
| Very high enrichment | ||||
| Extremely high enrichment | ||||
| Contamination Factor ( |
| Low contamination factor | [ | |
| 1 < | Moderately contaminated factor | |||
| 3 ≤ | Considerably contaminated factor | |||
| 6 ≤ | Very high contaminated factor | |||
| Threshold Pollution Index ( |
| Unpolluted | [ | |
| 1 < | Low polluted | |||
| 2 ≤ | Moderate polluted | |||
| 3 ≤ | Strong polluted | |||
| 5 ≤ | Very strong polluted |
Average I-geo values and pollution index (PI) with heavy metals in soils around non-ferrous smelteries in China, by province. Reprinted from [41], Copyright (2021), with permission from Elsevier.
| Province |
|
|
|
| |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Cd | Cu | Pb | Zn | Cd | Cu | Pb | Zn | NIPI | |||
| Anhui | 6 | 1 | - | 1.45 | −0.27 | −0.76 | - | 0.84 | 0.11 | 0.22 | 0.65 |
| Chongqing | 8 | 1 | 7.72 | - | 7.43 | - | 128 | 0.00 | 28.4 | - | 98.0 |
| Fujian | 25 | 1 | - | 1.30 | 4.30 | 2.67 | - | 0.84 | 4.06 | 3.30 | 3.46 |
| Gansu | 24 | 2 | 7.24 | −0.49 | 5.12 | 4.37 | 87.7 | 0.26 | 3.26 | 8.53 | 64.5 |
| Guangdong | 17 | 1 | 5.04 | - | 1.97 | - | 9.23 | 0.00 | 0.70 | - | 6.94 |
| Guangxi | 104 | 3 | 7.22 | 2.90 | 6.43 | 1.33 | 206 | 3.12 | 10.3 | 1.14 | 151 |
| Guizhou | 179 | 6 | 1.73 | 1.03 | 5.99 | 0.90 | 10.9 | 0.98 | 11.2 | 1.11 | 8.99 |
| Hebei | 9 | 1 | - | - | 3.32 | - | - | - | 1.07 | - | 1.07 |
| Henan | 131 | 3 | 4.79 | −0.01 | 2.51 | 0.09 | 10.3 | 0.29 | 0.56 | 0.38 | 7.54 |
| Hubei | 11 | 2 | 7.41 | 4.56 | 3.56 | 2.27 | 147 | 10.8 | 1.57 | 2.42 | 108 |
| Hunan | 47 | 3 | 5.89 | 2.18 | 3.41 | 2.97 | 37.3 | 1.86 | 1.57 | 4.44 | 27.6 |
| Jiangsu | 38 | 1 | - | - | 4.26 | - | - | - | 2.51 | - | 2.51 |
| Jiangxi | 12 | 1 | 3.02 | 3.46 | 1.37 | −0.32 | 4.37 | 5.05 | 0.42 | 0.33 | 4.00 |
| Liaoning | 94 | 2 | 7.39 | 4.95 | 4.53 | 4.40 | 90.33 | 9.16 | 2.47 | 8.04 | 66.8 |
| Shaanxi | 305 | 12 | 6.34 | 0.53 | 2.96 | 5.04 | 38.00 | 0.46 | 0.83 | 13.7 | 28.5 |
| Sichuan | 46 | 1 | - | - | 5.09 | - | - | - | 5.26 | - | 5.26 |
| Tibet | 17 | 1 | - | - | −0.02 | - | - | - | 0.14 | - | 0.14 |
| Yunnan | 436 | 3 | 4.54 | 1.65 | 2.89 | 3.48 | 25.3 | 2.18 | 1.51 | 6.00 | 19.0 |
| Zhejiang | 284 | 4 | 4.32 | 3.51 | 2.53 | 3.13 | 7.00 | 3.01 | 0.68 | 3.70 | 5.57 |
| China | 1793 | 49 | 5.59 | 2.08 | 3.54 | 2.27 | 61.65 | 2.59 | 4.04 | 4.10 | 32.0 |
n donates datum number collected from the literatures; SN donates smelter number of provinces; - denotes the data were unavailable in the public reference.
Descriptions of studies dedicated to soils around smelteries in China. * This data is “not available”.
| City | Locality | Smelting Operation | Contaminants (Maximum Concentrations in mg/kg) | Spatial Distribution | Soil Profiles | Mineralogy | Extractions | Isotopes | Bioavailability | Digestion | Measurement Method | Reference |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Hunan | Zhuzhou (Hunan) | Pb/Zn smelter | Zn (3349), Pb (1197), Cu (157), As (93), Cd (41.1), Hg (2.89) | * (Topsoils) | * | HNO3-HCl-H2O2 | AAS | [ | ||||
| Hunan | Zhuzhou | Pb/Zn smelter | Ag (3.71), Bi (21.4), Co (30), Cr (199) and other 6 elements | * (Topsoils) | * | HF HNO3 | ICP MS | [ | ||||
| Hunan | Xikuangshan (Hunan) | Sb smelter | Sb (5045), As (205) | * (Topsoils) | * | * (Radish) | HCl-HNO3 | ICP-AES | [ | |||
| Hunan | Zhuzhou | Zn/Pb | Hg (1.54) | * | * | ZAAS-HFM | [ | |||||
| Henan | Yuguang | Pb smelter | Cd (2.10), Cu (31.8), Ni (45.6), Pb (184), Zn (99.2) | * (Topsoils) | H2O2 HF HClO4 HNO3 | AAS | [ | |||||
| Henan | Jiyuan | Pb smelter | Pb (114 ± 2.17) | (Wheat) | HNO3-H2O2 | AAS | [ | |||||
| Zhejiang | Hangzhou (Zhejiang) | Cu smelter | Zn (11,840), Cu (716), Cd (8.67) | * | * | HCl/HNO3 | FAAS | [ | ||||
| Zhejiang | Fuyang (Zhejiang) | Cu smelter (secondary) | Hg (15) | * (Topsoils) | * | HNO3-H2O2 | AFS | [ | ||||
| Zhejiang | Zhujiawu (Zhejiang) | Cu/Zn smelter | Zn (3219), Cu (658) | * (Topsoils, transect) | * (Microbes) | HF-HClO4-HNO3 | FAAS | [ | ||||
| Jiangxi | Guixi | Lengshui Pb-Zn mining & copper smelter | Mining | * | (Vegetables) | HNO3, HF, and HClO4 | ICP-MS | [ | ||||
| Jiangxi | Dexing | Pb-Zn, Au, Cu mines | As (33.99), Cd (1.22),Cr (70.28), Cu (138.42), Mn (468.70), Ni (32.24), Pb (125.32), Zn (171.48) | * (Topsoils) | * | HNO3-HClO4-HF | ICP-AES | [ | ||||
| Jiangxi | Guixi | Cu smelter | Cu (35) | * (Topsoils) | (Rice) | (HNO3), (HF), (HClO4) | ICP | [ | ||||
| Guizhou | Magu (Guizhou) | Zn smelter | Pb (37,770), Zn (31,625), Cd (131) | * (Topsoils) | * | * | * (Pb,S) | HF-HClO4 | AAS | [ | ||
| Hubei | Daye | Cu smelting | Cd (4.87), Cu (195.26), Pb (92.65), As (35.84) | * (Crop) | HClO4, HNO3 and HF, HClO4 and HNO3, and HNO3 and H2O2 | ICP-MS | [ | |||||
| Guangxi | Nanning (Guangxi) | Pb/Sb smelter | Pb (992), Zn (597), Cu (39), Cd (22) (geometric means) | * (Topsoils) | * (Vegetables) | Soil HNO3/HCl = 1:3 | ICP-MS | [ | ||||
| China | 19 major provinces | 49 Non-ferrous smelteries | Cd (19.8), Cu (265), Pb (1536), Zn (1371) | * | HCl4-H2SO4, HCl-HNO3, HCl-HClO4-HNO3, HCl-HClO4-HF-HNO3, HCl-HClO-HNO3, HF-HNO3, HCl-HF-HNO3, HClO4-HF-HNO3, HCl-HF-HNO3-H2O2, HCl-HNO3-H2O2, HClO4-HNO3, | (AAS), | [ |
Figure 1Schematic illustrating pollution sources of heavy metals in smelter polluted soils. Reprinted from [103], Copyright (2021), with permission from Elsevier.
Figure 2Release of heavy metals and their dominant exposure and possible uptake routes to humans.
Figure 3Basic unit process of hydrometallurgical metal extraction (modified from [145]).
Figure 4Classification of basic remediation approaches.
Figure 5The mechanisms by which plants absorb heavy metals via phytoremediation technology.