Heavy metal pollution and ecological risk assessment of tailings in the Qinglong Dachang antimony mine, China

Luo, Guangfei; Han, Zhiwei; Xiong, Jianyin; He, Yinping; Liao, Jiahao; Wu, Pan

doi:10.1007/s11356-021-12987-7

Cited by 35 publications

(16 citation statements)

References 29 publications

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“…The results show that the soil is seriously polluted by heavy metals, especially Sb and As. Heavy metal pollution has spread from mining and agricultural activities to the mining area, and Sb is mainly due to mining and smelting activities in the area (Wang et al, 2010a;Luo et al, 2021). Ecological risk levels for all heavy metals in all sampling areas are high (substantial), with Sb, Cd, and A considered to contribute significantly to the risk index (RI) (Long et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Heavy metal pollution characteristics and potential ecological risk assessment of soils around three typical antimony mining areas and watersheds in China

Wei

Zhao

et al. 2022

Front. Environ. Sci.

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China is the largest antimony resource globally. The mining and smelting of antimony will inevitably have a significant impact on the surrounding and downstream farmlands of the mining area, Therefore, it is necessary to understand the pollution characteristics of antimony and evaluate its potential environmental risks. In this paper, three typical antimony mining areas were used as research districts to analyze the contents of heavy metals in soils of the mining areas and watersheds. The single-factor pollution index method, Nemerow comprehensive pollution index method, geo-accumulation index method, and potential ecological risk index method were used to comprehensively evaluate the pollution status and ecological risk of heavy metals in soils around the mining areas. The soil around the Lengshuijiang tin mine was polluted by As, Cd, Zn, and Sb, it was a heavily polluted soil and at a high ecological risk level. The arable soil around the Nandan tea mountain antimony mine was polluted by As, Cd, Cu, Pb, Sb, and Zn, and it was a heavily polluted soil with very high ecological risk level. The soil around the Xunyang antimony mine was mainly polluted by Sb and it was a moderately polluted soil with moderate ecological risk level. The results revealed that the overall soil heavy metal levels in the Lengshuijiang mining area and the Nandan mining area were in a high-risk state, most likely due to the mining and smelting of metal ores and the weathering of mineralised rocks. showing a high-potential ecological risk in these mining areas. We expect to provide a scientific basis for the safe utilization of farmland and pollution control around the antimony mining areas and watersheds in China.

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Section: Introductionmentioning

confidence: 99%

Heavy metal pollution characteristics and potential ecological risk assessment of soils around three typical antimony mining areas and watersheds in China

Wei

Zhao

et al. 2022

Front. Environ. Sci.

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“…Tailings have a great impact on environmental pollution and the ecological landscape (Jiang et al, 2021;Luo et al, 2021;Zhang et al, 2021). There are many kinds and quantities of tailing ponds in China, and most of them are in mountainous and upstream water source areas.…”

Section: Introductionmentioning

confidence: 99%

3D Visualization Monitoring and Early Warning System of a Tailings Dam—Gold Copper Mine Tailings Dam in Zijinshan, Fujian, China

et al. 2022

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A 3D tailings dam visualization early warning system was developed based on GIS (geographic information system) combining ARIMA (autoregressive integrated moving average model) and 3S (RS, GIS, GPS) technology for prediction of phreatic line changes and tailing dam deformation. It was applied for monitoring and early warning for the gold–copper tailing dam in Zijinshan Dadongbei tailing pond. The system consists of equipment management, data management, prediction, monitoring and early warning, and 3D visualization modules. It is able to do data management, visualization and disaster prediction, and early warning based on 79 monitoring points of rainfall, infiltration line, and deformation of the tailing dam in the Zijinshan mine. The design and application of the system reflect its features of rich functionality, high practicality, intuitive effect, and high reference value. The system solves the problems of low visualization of monitoring data, poor management of multiple data, and feasible prediction and early warning of point–surface combination. It realizes high-precision prediction of key factors and real-time warning of disaster.

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“…With regard to tailings dams, Stefaniak and Wróżyńska ( 2018 ) stated that the collapse of a tailings dam is no accident. Moreover, following the failure of the Brumadinho tailings dam in Brazil, Ligia Noronha, head of UNEP’s economics department, commented that although the development of mineral resources is crucial, the premise should be to ensure the safety of people and ecosystems (Luo et al 2021 ). Mining operation data show that the number of tailings from ore processing constitutes 97–99% of the total ore (Adiansyah et al 2015 ).…”

Section: Introductionmentioning

confidence: 99%

Scientometric analysis on the review research evolution of tailings dam failure disasters

et al. 2022

Environ Sci Pollut Res

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As the most severe damage form of tailings ponds, dam failure causes a serious threat and damage to the surrounding lives and environment. Therefore, based on the systematic collection and consultation of relevant data at home and abroad, the literature source analysis on tailings dam failure disasters is conducted using the CiteSpace scientometric tool. The research on tailings dam failure disasters can be classified into two stages: the preliminary germination stage and rapid development stage. Based on the scientometric knowledge map, the research hotspots of tailings dam failure disasters are analyzed and summarized as three main research directions: environmental impact, risk assessment, and mechanical behavior. With the maturity of the research on ecological problems caused by tailings leakage, ecological restoration has also gradually become a hot research topic. Through the analysis of keyword bursts and co-cited bursts, the research frontier of tailings dam break disaster is explored. “Risk management,” “real-time monitoring,” and “tailings characteristic” represent the current research frontier. Among them, risk management is burst for the longest time and is expected to be a very important research direction in the future. Finally, a tailings pond risk management and control suggestion is proposed with risk management as the core, emphasizing risk monitor, and combined with dynamic risk control, which provides a foundation for the construction of tailings dam safety management and dynamic monitoring systems.

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Heavy metal pollution and ecological risk assessment of tailings in the Qinglong Dachang antimony mine, China

Cited by 35 publications

References 29 publications

Heavy metal pollution characteristics and potential ecological risk assessment of soils around three typical antimony mining areas and watersheds in China

Heavy metal pollution characteristics and potential ecological risk assessment of soils around three typical antimony mining areas and watersheds in China

3D Visualization Monitoring and Early Warning System of a Tailings Dam—Gold Copper Mine Tailings Dam in Zijinshan, Fujian, China

Scientometric analysis on the review research evolution of tailings dam failure disasters

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