Spatial distribution, source, and risk assessment of soil toxic metals in the coal-mining region of northwestern China

Abliz, Abdugheni; Shi, Qingdong; Keyimu, Maierdang; Sawut, Rukeya

doi:10.1007/s12517-018-4152-8

Cited by 24 publications

(6 citation statements)

References 76 publications

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“…The second area mostly regarded public health issues (see works [27,[54][55][56][57][58][59][60][61][62][63][64][65][66][67][68][69][70][71][72]) and the impact of heavy metals on the environment in the area where the mine operates (see works [40,62,64,68,[73][74][75][76][77][78][79][80][81][82][83][84][85][86][87][88][89][90] for soil contamination investigation and works [54,64,[91][92][93][94][95][96]…”

Section: Thematic Analysis Of the Conducted Reviewmentioning

confidence: 99%

Risk Assessment Methods in Mining Industry—A Systematic Review

Tubis

Werbińska-Wojciechowska

Wroblewski

2020

Applied Sciences

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Recently, there has been a growing interest in the mining industry in issues related to risk assessment and management, which is confirmed by a significant number of publications and reports devoted to these problems. However, theoretical and application studies have indicated that risk in mining should be analyzed not only in the human factor aspect, but also in strategic (environmental impact) and operational ones. However, there is a lack of research on systematic literature reviews and surveys of studies that would focus on these identified risk aspects simultaneously. Therefore, the purpose of this article is to develop a literature review in the area of analysis, assessment and risk management in the mining sector, published in the last decade and based on the concept of a human engineering system. Following this, a systematic search was performed with the use of Primo multi-search tool following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The main inclusion criteria were: (a) not older than 10 years, (b) article written in English, (c) publication type (scientific article, book, book chapter), (d) published in chosen electronic collections (Springer, Taylor and Francis, Elsevier, Science Direct, JSTOR). This resulted in the selection of the 94 most relevant papers in the area. First, the general bibliometric analysis was conducted. Later, the selected papers in this review were categorized into four groups and the critical review was developed. One of the main advantages of this study is that the results are obtained from different scientific sources/databases thanks to using a multi-search tool. Moreover, the authors identified the main research gaps in the area of the implementation of risk management in the mining industry.

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Section: Thematic Analysis Of the Conducted Reviewmentioning

confidence: 99%

Risk Assessment Methods in Mining Industry—A Systematic Review

Tubis

Werbińska-Wojciechowska

Wroblewski

2020

Applied Sciences

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“…However, elemental mercury (Hg 0 ) is extremely insoluble in water and difficult to absorb by dust collectors, thus leading to its escape into the atmosphere [ 133 ]. Abliz et al [ 134 ] reported that the main sources of Hg pollution are coal combustion industries and coal gangue dumps. The level of Hg in the environment has increased primarily as a result of industrialization and its byproducts [ 67 , 135 ].…”

Section: Resultsmentioning

confidence: 99%

Heavy Metal Pollution and Risk Assessment of Surface Dust in the Arid NW China

Yang

Eziz

Hayrat

et al. 2022

IJERPH

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High concentrations of heavy metals (HMs) in urban surface dust (USD) can be extremely hazardous to urban ecology and human health. Oasis cities are located at the edge of deserts and are more exposed to salt/sandstorms, and they face a significantly higher accumulation of USD than wet or semi-humid areas. However, systematic studies on the pollution and risk assessment of HMs in USD in oasis cities have rarely been conducted. This study systematically analyzed the enrichment status, spatial distribution, pollution levels, health risks, and sources of HMs in USD in a typical oasis city (Changji city). The results showed that the average concentrations of Pb, Ni, As, Cd, Hg, and Cu in the USD of Changji city were 46.83, 26.35, 9.92, 0.21, 0.047, and 59.33 mg/kg, respectively, and the results of the pollution index evaluation showed moderate Pb, Hg, and Cu pollution, mild Cd pollution, and no Ni or As pollution. The spatial distribution of HM concentrations in the USD was substantially heterogeneous. High values of Pb, Hg, and Cu concentrations were mainly observed in areas with relatively intensive transportation and commercial activities, and high values of Cd and Ni were observed in industrial areas. The health risk assessment showed that HMs do not pose non-carcinogenic risks to humans at their current level, but they pose a carcinogenic risk to children, with As contributing the largest carcinogenic and non-carcinogenic risks. The source identification of HMs showed that the main pollution of HMs were traffic sources for Pb and Cu, industrial sources for Ni and Cd, natural sources for As, and coal-fired sources for Hg. According to the results of the quantitative analysis with the positive matrix factorization, the contribution of pollution sources followed this order: industrial sources (31.08%) > traffic sources (26.80%) > coal-fired sources (23.31%) > natural sources (18.81%).

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“…The Eastern Junggar coalfield is located at the north foot of Tianshan Mountain, southeast of the Junggar Basin, within the territory of three counties (Jimsar, Qitai and Muyu) in eastern Changji Prefecture, covering an area of approximately 11,213 km 2 [33]. This region is located in the hinterland of Eurasia, which has an extremely arid and continental climate.…”

Section: A Study Area and Sampling Sitesmentioning

confidence: 99%

“…The difference between spring and autumn is not obvious. The soil types in Zhundong coal mining area mainly consist of saline soil, eolian sandy soil, gray-brown desert soil, gypsum brown desert soil, and desert alkali soil [33]. In this study the soil samples taken from the same soil type called gray-brown desert soil which was located around the coal mining region.…”

Section: A Study Area and Sampling Sitesmentioning

confidence: 99%

Hyperspectral Estimation of Soil Copper Concentration Based on Improved TabNet Model in the Eastern Junggar Coalfield

Wang

Abliz

et al. 2022

IEEE Trans. Geosci. Remote Sensing

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China is the largest coal consumer in the world. The massive exploitation and utilization of coal resources has resulted in serious problems of heavy metal pollution and environmental contamination, such as soil degradation, water pollution, crop damage, and even threatening human lives. Therefore, monitoring soil heavy metal pollution quickly and in real time is an urgent task at present. This research not only formulated a new preprocessing method enlightened by few-shot learning for soil hyperspectral data, but also combined it with other soil-related auxiliary information to extract effective information from the soil hyperspectrum, at the end of which different regression methods were adopted to predict soil heavy metal contamination. This test used 168 actual soil samples from the Eastern Junggar coalfield in Xinjiang for verification. Since copper in the soil is a trace element and the corresponding spectral characteristics are affected by other impurities, improper use of hyperspectral preprocessing methods may introduce interference information or may delete useful information, which makes the model effect unsatisfied. To effectively address the above problems, the preprocessing method of this experiment combined the second-order differential derivation, data enhancement method together with the Manuscript

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Spatial distribution, source, and risk assessment of soil toxic metals in the coal-mining region of northwestern China

Cited by 24 publications

References 76 publications

Risk Assessment Methods in Mining Industry—A Systematic Review

Risk Assessment Methods in Mining Industry—A Systematic Review

Heavy Metal Pollution and Risk Assessment of Surface Dust in the Arid NW China

Hyperspectral Estimation of Soil Copper Concentration Based on Improved TabNet Model in the Eastern Junggar Coalfield

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