Distribution and health risk assessment of heavy metals in soil surrounding a lead and zinc smelting plant in Zanjan, Iran

Jamal, Ashraf; Delavar, Mohammad Amir; Naderi, Arman; Nourieh, Naifseh; Medi, Bijan; Mahvi, Amir Hossein

doi:10.1080/10807039.2018.1460191

Cited by 61 publications

(17 citation statements)

References 32 publications

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“…However, other investigations have collected only a few top centimeters (0–5 cm) [ 48 ]. Generally, Topsoil samples were obtained at deeps of (0–10 cm) [ 49 ], (0–15 cm) [ 50 ], and (0–20 cm) [ 50 , 51 , 52 , 53 , 54 ]. In 2009 [ 52 ] took six soil profiles sampled from 70-cm depths in forested and prairie sites at varied ranges from the (Cu) smelting plant, and the soil cores were typically 60, 80, or 100 cm deep [ 50 ].…”

Section: Investigational Methodsmentioning

confidence: 99%

Research Progress on Heavy Metals Pollution in the Soil of Smelting Sites in China

Adnan

Xiao

et al. 2022

Toxics

103

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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.

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Section: Investigational Methodsmentioning

confidence: 99%

Research Progress on Heavy Metals Pollution in the Soil of Smelting Sites in China

Adnan

Xiao

et al. 2022

Toxics

103

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“…Kim loại Pb được coi là một trong những nguyên tố độc hại nhất trong môi trường [10]. Chì có thể gây hại cho hệ thần kinh trung ương, thận, hệ thống tạo máu, hệ xương và hệ thống miễn dịch [11]. Các chỉ số đánh giá mức độ ô nhiễm môi trường như chỉ số tích luỹ địa chất (Igeo), chỉ số đánh giá mức độ rủi ro (RAC) đã được nhiều nghiên cứu sử dụng để đánh giác mức độ và rủi ro ô nhiễm môi trường của kim loại nặng trong đất [12]- [15].…”

Section: Mở đầUunclassified

PHÂN TÍCH DẠNG HÓA HỌC VÀ ĐÁNH GIÁ NGUY CƠ Ô NHIỄM MÔI TRƯỜNG BỞI Pb TRONG ĐẤT THẢI CỦA MỎ QUẶNG Pb/Zn LÀNG HÍCH, HUYỆN ĐỒNG HỶ, TỈNH THÁI NGUYÊN

Xuân¹,

Thuý²,

Thảo³

et al. 2021

TNUJST

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Việc phân tích dạng hóa học của các kim loại chì là cần thiết để đánh giá chính xác mức độ ô nhiễm và nguy cơ gây ô nhiễm tới môi trường xung quanh của Pb trong đất bãi thải ở vực khai thác khoáng sản. Nghiên cứu này áp dụng quy trình chiết Tessier để xác định các dạng kim loại của chì (Pb) trong các mẫu đất bãi thải ở khu vực mỏ chì/kẽm làng Hích, huyện Đồng Hỷ, tỉnh Thái Nguyên bằng phương pháp ICP-MS. Kết quả cho thấy, Pb tồn tại chủ yếu ở dạng cacbonat (F2) và ít nhất ở dạng liên kết hữu cơ (F4), ngoài ra còn tìm thấy ở dạng liên kết với Fe-Mn oxihydroxide (F3); dạng trao đổi (F1) và dạng cặn dư (F5). Thông qua chỉ số tích luỹ địa chất (Igeo), chỉ số đánh giá rủi ro (RAC) và quy chuẩn kỹ thuật quốc gia về chất lượng đất (QCVN 03-MT: 2015/BTNMT) đã đánh giá được hàm lượng Pb trong các mẫu đất ở khu vực bãi thải của mỏ chì/kẽm ở mức độ ô nhiễm cao và mức độ rủi ro môi trường rất cao.

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“…Although coal mining promotes local economies, it also causes serious environmental pollution [ 1 , 2 , 3 ]. Heavy metals in coal and coal spoil can enter soil through various routes, leading to the contamination of soil around mining areas [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Rapid Determination of Low Heavy Metal Concentrations in Grassland Soils around Mining Using Vis–NIR Spectroscopy: A Case Study of Inner Mongolia, China

Han

Lü

Song

et al. 2021

Sensors

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Proximal sensing offers a novel means for determination of the heavy metal concentration in soil, facilitating low cost and rapid analysis over large areas. In this respect, spectral data and model variables play an important role. Thus far, no attempts have been made to estimate soil heavy metal content using continuum-removal (CR), different preprocessing and statistical methods, and different modeling variables. Considering the adsorption and retention of heavy metals in spectrally active constituents in soil, this study proposes a method for determining low heavy metal concentrations in soil using spectral bands associated with soil organic matter (SOM) and visible–near-infrared (Vis–NIR). To rapidly determine the concentration of heavy metals using hyperspectral data, partial least squares regression (PLSR), principal component regression (PCR), and support vector machine regression (SVMR) statistical methods and 16 preprocessing combinations were developed and explored to determine an optimal combination. The results showed that the multiplicative scatter correction and standard normal variate preprocessing methods evaluated with the second derivative spectral transformation method could accurately determine soil Cr and Ni concentrations. The root-mean-square error (RMSE) values of Vis–NIR model combinations with PLSR, PCR, and SVMR were 0.34, 3.42, and 2.15 for Cr, and 0.07, 1.78, and 1.14 for Ni, respectively. Soil Cr and Ni showed strong spectral responses to the Vis–NIR spectral band. The R2 value of the Vis–NIR-based PLSR model was higher than 0.99, and the RMSE value was 0.07–0.34, suggesting higher stability and accuracy. The results were more accurate for Ni than Cr, and PLSR showed the best performance, followed by SVMR and PCR. This perspective has critical implications for guiding quantitative biogeochemical analysis using proximal sensing data.

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Distribution and health risk assessment of heavy metals in soil surrounding a lead and zinc smelting plant in Zanjan, Iran

Cited by 61 publications

References 32 publications

Research Progress on Heavy Metals Pollution in the Soil of Smelting Sites in China

Research Progress on Heavy Metals Pollution in the Soil of Smelting Sites in China

PHÂN TÍCH DẠNG HÓA HỌC VÀ ĐÁNH GIÁ NGUY CƠ Ô NHIỄM MÔI TRƯỜNG BỞI Pb TRONG ĐẤT THẢI CỦA MỎ QUẶNG Pb/Zn LÀNG HÍCH, HUYỆN ĐỒNG HỶ, TỈNH THÁI NGUYÊN

Rapid Determination of Low Heavy Metal Concentrations in Grassland Soils around Mining Using Vis–NIR Spectroscopy: A Case Study of Inner Mongolia, China

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