SBAS-InSAR Based Deformation Monitoring of Tailings Dam: The Case Study of the Dexing Copper Mine No.4 Tailings Dam.

The No.4 tailings pond of the Dexing Copper Mine is the second largest in Asia. The tailing pond is a dangerous source of man-made debris flow with high potential energy. In view of the lack of effective and low-cost global safety monitoring means in this region, in this paper, the time-series InSAR technology is innovatively introduced to monitor the deformation of tailings dam and significant key findings are obtained. First, the surface deformation information of the tailings pond and its surrounding areas was extracted by using SBAS-InSAR technology and Sentinel-1A data. Second, the cause of deformation is explored by analyzing the deformation rate, deformation accumulation, and three typical deformation rate profiles of the representative observation points on the dam body. Finally, the power function model is used to predict the typical deformation observation points. The results of this paper indicated that: (1) the surface deformation of the tailings dam can be categorized into two directions: the upper portion of the dam moving away from the satellite along the Line of Sight (LOS) at a rate of -40 mm/yr, whereas the bottom portion approaching the satellite along the LOS at a rate of 8 mm/yr; (2) the deformation of the dam body is mainly affected by the inventory deposits and the construction materials of the dam body; (3) according to the current trend, deformation of two typical observation points in the LOS direction will reach the cumulative deformation of 80 mm and -360 mm respectively. The research results can provide data support for safety management of No.4 tailings dam in the Dexing Copper Mine, and provide a method reference for monitoring other similar tailings dams.

Spatial dispersion hot spots of contamination and human health risk assessments of PTEs in surface sediments of streams around porphyry copper mine, Iran.

This comprehensive research has been conducted to consider the distribution of PTEs in the surface sediments of a recently developed Dar-e-Allo copper mine in dependence on the potential ecological and human health risks. Field sampling was carried out discreetly at preselected sampling spots including the natural background, the streams around the mine, waste rock drainages, evaporative deposits, sediments containing Fe oxy-hydroxides and secondary phases. Distribution of target elements (Al, As, Cd, Co, Cr, Cu, Fe, Mn, Mo, Ni, Pb, S, Sb, Se, and Zn) showed high levels of crustal elements. As regards, Fe, Al, and S are identified to exist as the most copious elements in the earth's crust, so have the major portion of potentially toxic elements (PTEs) in the sediment concentrations. Evaluating environmental indices reflected that in general, Cu, S, and Mo have a higher quota of contamination in sedimentary systems. the pollution load index (PLI), modified contamination degree (mCd), Contamination factor (Cf), Sediment potential index (SPI), Geo-accumulation index (Igeo) and Contamination degree (Cd) confirm that sedimentary systems of mining area are heavily contaminated by PTEs and were not found within the guideline acceptable values. The potential ecological risk index (PERI) displayed a high or severe risk level for Cu with a peak in green-blue sediments containing secondary minerals. The results of total carcinogenic risk (TCRs) show that As has high toxicity level and carries a risk of carcinogenicity among children and adults. The TCRs for Cd, Cr, Ni, and Pb with carcinogenic potential are found only in children and they are classified as the prime concern elements that have serious dangers to children's public health. The results of contamination source presumed that the sources of PTEs contamination were principally geogenic along with the anthropogenic sources in the study area. Therefore, the present study has highlighted the implication of human health risks of PTEs in sedimentary systems of copper mining, also will grant advice for prime stakeholders, including mine managers, Environmental Protection Agency, the government and public organizations in connection to protecting the environment, aquatic biota and consumer's health.

Evaluation of copper tailing amendments through poultry waste and ammonium nitrate.

In this study, two amendments, poultry waste and ammonium nitrate, were evaluated to condition and stabilize a mine tailing and thus help the vegetation cover settle. Individually, ammonium nitrate was tested as a nitrogen source and chicken bone ash as a phosphate source. For this, laboratory tests were made on soil columns from the area to be remediated. The mobility and availability of metals and nutrients were determined by analyzing their leachates chemically. The results showed that the use of chicken bone ash decreases soluble metal concentrations, particularly in Fe and soluble Mn. On the other hand, experimental conditions proved that the acidification produced by ammonium nitrate nitrification does not significantly increase the lechate metal content. Therefore, its use for fertilization does not involve phytotoxicity risks. Regarding the availability of macronutrients as well as trace elements, the results showed that the concentrations lie within the ranges suitable for plant nutrition. So, the treatments are effective both for fertilization and phytoremediation.

Bioaccumulation of Cu, Fe, Mn and Zn in native Brachystegia longifolia naturally growing in a copper mining environment of Mufulira, Zambia.

Heavy metal contamination in the soil and the subsequent accumulation in Brachystegia longifolia were investigated as a function of the wind direction and distance from a copper mine in Mufulira, Zambia. Soil and leaves of B. longifolia were collected along transects up to 12 km downwind and 19 km upwind. The total concentration of trace elements in the soil and leaves was determined through pXRF. Plant-available Cu, Fe, Mn, and Zn were extracted in a Mehlich III solution and analyzed using ICP-AES. The degree of soil contamination illustrates that Cu and Fe from the copper mine strongly pollute Mufulira and the surrounding forests. Bioavailable Cu, Fe, Mn, and Zn reduced with increasing distance from the mine. An average of 296 mg/kg Cu, 2337 mg/kg Fe, 1101 mg/kg Mn, and 109 mg/kg Zn were recorded in leaves at the most polluted site. Similarly, 55.21 mg/kg Cu, 516.4 mg/kg Fe, 3196 mg/kg Mn, and 154 mg/kg Zn were recorded at an unpolluted site 19 km upwind. The concentration of Cu and Fe reduced significantly with increasing distance, while Mn and Zn increased significantly. It was further established that B. longifolia leaves accumulated Mn (× 38) and Zn (× 15) more than their respective total concentration in the soil. The concentrations of Cu and Fe found in leaves near the mine, as well as the Mn concentration in leaves across the study sites, could be stressful for B. longifolia tree growth.

Culture-dependent hunt and characterization of iron-oxidizing bacteria in Baiyin Copper Mine, China, and their application in metals extraction.

The exploration of microbial diversity in extremely acidic habitats has provided a vital base for the progression of minerals biotechnology. Three indigenous iron-oxidizing acidophilic bacterial strains were isolated through serial dilution of enriched bacterial culture from Baiyin Copper Mine Stope, China. The morphological, biochemical, physiological, and phylogenetic characteristics of isolates were investigated. These isolates were motile, Gram-negative, and curved shape with pleomorphism except isolate WG101 that was a straight rod. The optimum growth pH and temperature for all isolates were 1.5 and 30 °C, respectively, and showed extreme acidophilic nature. All the isolates showed obligate chemoautotrophic nature and used ferrous iron and pyrite as an energy source, however, isolates WG102 and WG103 were unable to use sulfur, while isolate WG101 could use elemental sulfur and reduced inorganic sodium thiosulfate as an energy source. The phylogenetic analyses based on 16S rRNA sequences revealed that the isolates WG101, WG102, and WG103 were homologous with Acidithiobacillus ferrooxidans strain AS2 (99%), Leptospirillum ferriphilum strain YSK (98%), and Leptospirillum ferrooxidans strain L15 (98%), respectively. These bacterial isolates showed efficient copper and zinc dissolution from the ore. The metals dissolution rate of At. ferrooxidans strain WG101 was 54.5 ± 4.33% (copper) and 49.6 ± 5% (zinc). The metals recovery rate of L. ferriphilum strain WG102 was 45.7 ± 3.5% (copper) and 40.5 ± 2.5% (zinc). The recovery rate of copper and zinc was 49.6 ± 4% and 46.5 ± 3% respectively in the case of L. ferrooxidans strain WG103. The findings of this study are consistent with the notion that the indigenous bacteria are more efficient in minerals dissolution.

Phytoremediation of heavy metal contaminated soil potential by woody plants on Tonglushan ancient copper spoil heap in China.

Fast-growing metal-accumulating woody plants are considered potential candidates for phytoremediation of metals. Tonglushan mining, one of the biggest Cu production bases in China, presents an important source of the pollution of environment. The sample was collected at Tonglushan ancient copper spoil heap. The aims were to measure the content of heavy metal in the soil and woody plants and to elucidate the phytoremediation potential of the plants. The result showed that soil Cu, Cd and Pb were the main contamination, the mean contents of which were 3166.73 mg/kg, 3.66 mg/kg and 137.06 mg/kg respectively, which belonged to severe contamination. Fourteen species from 14 genera of 13 families were collected and investigated; except for Ligutrum lucidum, the other 13 woody plants species were newly recorded in this area. In addition, to assess the ability of metal accumulation of these trees, we proposed accumulation index. Data suggested that Platanus × acerilolia, Broussonetia papyrifera, Ligutrum lucidum, Viburnum awabuki, Firmiana simplex, Robina pseudoacacia, Melia azedarach and Osmanthus fragrans exhibited high accumulated capacity and strong tolerance to heavy metals. Therefore, Platanus × acerilolia and Broussonetia papyrifera can be planted in Pb contaminated areas; Viburnum awabuki, Firmiana simplex, Robina pseudoacacia and Melia azedarach are the suitable trees for Cd contaminated areas; Viburnum awabuki, Melia azedarach, Ligutrum lucidum, Firmiana simplex, Osmanthus fragrans and Robina pseudoacacia are appropriate to Cu, Pb and Cd multi-metal contaminated areas.

Environmental geochemistry of the abandoned Mamut Copper Mine (Sabah) Malaysia.

The Mamut Copper Mine (MCM) located in Sabah (Malaysia) on Borneo Island was the only Cu-Au mine that operated in the country. During its operation (1975-1999), the mine produced 2.47 Mt of concentrate containing approximately 600,000 t of Cu, 45 t of Au and 294 t of Ag, and generated about 250 Mt of overburden and waste rocks and over 150 Mt of tailings, which were deposited at the 397 ha Lohan tailings storage facility, 15.8 km from the mine and 980 m lower in altitude. The MCM site presents challenges for environmental rehabilitation due to the presence of large volumes of sulphidic minerals wastes, the very high rainfall and the large volume of polluted mine pit water. This indicates that rehabilitation and treatment is costly, as for example, exceedingly large quantities of lime are needed for neutralisation of the acidic mine pit discharge. The MCM site has several unusual geochemical features on account of the concomitant occurrence of acid-forming sulphide porphyry rocks and alkaline serpentinite minerals, and unique biological features because of the very high plant diversity in its immediate surroundings. The site hence provides a valuable opportunity for researching natural acid neutralisation processes and mine rehabilitation in tropical areas. Today, the MCM site is surrounded by protected nature reserves (Kinabalu Park, a World Heritage Site, and Bukit Hampuan, a Class I Forest Reserve), and the environmental legacy prevents de-gazetting and inclusion in these protected area in the foreseeable future. This article presents a preliminary geochemical investigation of waste rocks, sediments, secondary precipitates, surface water chemistry and foliar elemental uptake in ferns, and discusses these results in light of their environmental significance for rehabilitation.

Effects of coal spoil amendment on heavy metal accumulation and physiological aspects of ryegrass (Lolium perenne L.) growing in copper mine tailings.

Copper mine tailings pose many threats to the surrounding environment and human health, and thus, their remediation is fundamental. Coal spoil is the waste by-product of coal mining and characterized by low levels of metals, high content of organic matter, and many essential microelements. This study was designed to evaluate the role of coal spoil on heavy uptake and physiological responses of Lolium perenne L. grown in copper mine tailings amended with coal spoil at rates of 0, 0.5, 1, 5, 10, and 20%. The results showed that applying coal spoil to copper mine tailings decreased the diethylenetriaminepentaacetic acid (DTPA)-extractable Cd, Cu, Pb, and Zn contents in tailings and reduced those metal contents in both roots and shoots of the plant. However, application of coal spoil increased the DTPA-extractable Cr concentration in tailings and also increased Cr uptake and accumulation by Lolium perenne L. The statistical analysis of physiological parameters indicated that chlorophyll and carotenoid increased at the lower amendments of coal spoil followed by a decrease compared to their respective controls. Protein content was enhanced at all the coal spoil amendments. When treated with coal spoil, the activities of superoxide dismutases (SOD), peroxidase (POD), and catalase (CAT) responded differently. CAT activity was inhibited, but POD activity was increased with increasing amendment ratio of coal spoil. SOD activity increased up to 1% coal spoil followed by a decrease. Overall, the addition of coal spoil decreased the oxidative stress in Lolium perenne L., reflected by the reduction in malondialdehyde (MDA) contents in the plant. It is concluded that coal spoil has the potential to stabilize most metals studied in copper mine tailings and ameliorate the harmful effects in Lolium perenne L. through changing the physiological attributes of the plant grown in copper mine tailings.

[Serum cystathionine ß-synthase (CBS), cystathionine γ-lyase (CSE ) and cytochrome c oxidase (COX) in copper mine miners potentially expose d to hydrogen sulfide]. / ß-syntaza cystationiny (CBS), γ-liaza cystationiny (CSE) i oksydaza cytochromu c (COX) w surowicy górników kopalni miedzi potencjalnie narazonych na emisje siarkowodoru.

BACKGROUND: The aim of the study was to evaluate serum levels of the target enzyme for H2S toxicity--cytochrome c oxidase (COX) and enzymes involved in the synthesis of H2S--cystathionine ß-synthase (CBS) and cystathionine γ-lyase (CSE) in copper mine miners. MATERIAL AND METHODS: The initial and basic study was conducted respectively in 237 and 88 miners, working in 2 mining shafts: I--no H2S emissions recorded in the last 10 years (study group A) and II--H2S emissions occurred (study group B). A medical examination was performed and 10 ml of blood was collected from miners immediately after exiting the mine. RESULTS: There were no clinical or biochemical changes typical for H2S toxicity. Sulfhemoglobine was undetectable and there were no changes in the red-ox system. However, in group B, regulatory changes were found; a tendency to higher concentration of CBS and CSE, a higher activity of angiotensin converting enzyme (ACE) compared to group A (p<0.05) and a linear relationship between ACE and CSE (r=0.6927; p<0.001). It has been shown that cigarette smoking decreases COX (p<0.05), however, in miners working in shaft II, the decreased level of COX may result also from the presence of H2S in the gaseous emissions. CONCLUSIONS: COX concentration can be a sensitive indicator of exposure to H2S. The measurements of blood H2S concentrations carried out in workplaces should explain the cause of the changes observed in the COX, CBS and CSE activity.

Personal respirable dust and respirable crystalline silica exposure in two shafts and a concentrator of a Zambian copper mine.

OBJECTIVES: Since the 1920s, Zambia's mining sector has experienced growth, which has increased the number of mine workers employed in the industry. Consequently, the potential for occupational exposure and prevalence of occupational diseases have also increased. Unfortunately, Zambia does not currently have legislative guidelines for workplace air monitoring and compliance. This study's objectives were to evaluate copper miners' personal exposure to respirable dust and respirable crystalline silica (RCS) and to assess workplace compliance using the European Standard for workplace air monitoring and measurement (EN689:2018). METHODS: This cross-sectional study collected 100 personal respirable dust exposure samples at a Zambian copper mine in 2023. These samples were weighed using NIOSH method 0600 and analyzed for crystalline silica using Fourier transform infrared spectroscopy (KBr pellet) (NIOSH method 7602). Additionally, 253 respirable dust exposure measurements collected at the mine between 2017 and 2022 were included for comparison. RESULTS: The median respirable dust exposure for the 2023 exposure measurements was 0.200 mg/m3 (95th percentile 2.871 mg/m3) compared to 0.400 mg/m3 (95th percentile 3.050 mg/m3) for the historic data. The median RCS exposure was 0.012 mg/m3 (95th percentile 0.163 mg/m3). Using EN689:2018, it was found that from 15 work areas, only six work areas complied with the standard for respirable dust exposure and only seven work areas complied with the standard for RCS exposure. CONCLUSIONS: At the mining site, several work areas had substantial exposure to respirable dust and RCS. Therefore, management needs to prioritize these areas when implementing control measures to reduce dust exposure. For the Zambia mining industry to manage exposure to respirable dust and RCS, it is necessary to implement standardized monitoring strategies. This study has demonstrated that EN689:2018 can be used successfully to determine compliance among Zambian mining work areas.

Knowledge, Attitude, Behavior Practices and Compliance of Workers Exposed to Respirable Dust in a Zambian Copper Mine.

Work in the copper mining industry is often associated with exposure to respirable dust and respirable crystalline silica. This exposure has the potential to cause silicosis, an incurable occupational respiratory lung disease. This study aimed at establishing the relationship between knowledge, attitudes, work behavioral practices and compliance with safety standards and workers' exposure to respirable dust. A cross-sectional descriptive survey was conducted on 528 mine workers. The Statistical Package for Social Sciences (SPSS) was used for the descriptives. Structural equation modeling (SEM) with latent variables and partial least squares (LVPLS) analysis were employed to determine the relationship among these variables. The results indicated that of the four hypotheses, two were supported, and two were rejected, showing that there is a significant relationship between exposure to respirable dust and work behavioral practices, as well as compliance with safety standards. Knowledge and attitudes toward respirable dust exposure did not significantly influence exposure. According to the results from the survey, positive work behavioral practices as well as compliance with safety standards were significantly associated with exposure to respirable dust. It is recommended that mines should focus on the miners' work behavioral practices and compliance with safety standards.

Socio-Environmental Risks Linked with Mine Tailings Chemical Composition: Promoting Responsible and Safe Mine Tailings Management Considering Copper and Gold Mining Experiences from Chile and Peru.

There is a need to define mine tailings in a clear, precise, multidisciplinary, transdisciplinary, and holistic manner, considering not only geotechnical and hydraulic concepts but also integrating environmental and geochemical aspects with implications for the sustainability of mining. This article corresponds to an independent study that answers questions concerning the definition of mine tailings and the socio-environmental risks linked with mine tailings chemical composition by examining the practical experience of industrial-scale copper and gold mining projects in Chile and Peru. Definitions of concepts and analysis of key aspects in the responsible management of mine tailings, such as characterization of metallic-metalloid components, non-metallic components, metallurgical reagents, and risk identification, among others, are presented. Implications of potential environmental impacts from the generation of acid rock drainage (ARD) in mine tailings are discussed. Finally, the article concludes that mine tailings are potentially toxic to both communities and the environment, and cannot be considered as inert and innocuous materials; thus, mine tailings require safe, controlled, and responsible management with the application of the most high management standards, use of the best available technologies (BATs), use of best applicable practices (BAPs), and implementation of the best environmental practices (BEPs) to avoid risk and potential socio-environmental impact due to accidents or failure of tailings storage facilities (TSFs).

Abundant microbial communities act as more sensitive bio-indicators for ecological evaluation of copper mine contamination than rare taxa in river sediments.

Bacterial and fungal communities have been widely applied as bio-indicators for ecological evaluation of copper (Cu) mine pollution in river sediments. However, the response pattern of their abundant and rare sub-communities is still unknown, limiting the further development of biological diagnostics. Here, the alpha-diversity, community composition, environmental contribution and co-occurrence network of total, abundant and rare taxa for bacteria and fungi in the Jiaopingdu Cu Mine wastewater treatment plant (WWTP) were investigated through high-throughput sequencing. The results revealed different responses of microbial alpha-diversity for abundant and rare sub-communities. The abundant taxa were ubiquitous in all sediments, while rare taxa exhibited increases of species richness in polluted areas because of heterochthonous inputs of WWTP drainage. Nevertheless, the variations of community composition were consistent for bacterial and fungal abundant and rare taxa, all of which showed significant dissimilarity between control and polluted areas. Distance-decay relationship and canonical correlation analysis indicated that abundant taxa assemblies (rbacteria = -0.924, rfungi = -0.684) were more strongly driven by environmental changes than rare ones (rbacteria = -0.626, rfungi = -0.349), because abundant microbes had higher proportions of significant variations in abundance. Co-occurrence networks revealed more keystone species with high node degree and centrality among abundant taxa compared with rare ones. Moreover, bacterial abundant and rare taxa were more sensitive to Cu mine pollution than relevant fungal taxa owing to different Cu tolerance. In conclusion, among all microbial sub-communities, abundant bacteria had the highest environmental sensitivity, suggesting their important application in biological diagnosis of Cu mine pollution. Accordingly, the abundant taxa could act as "key reservoir" for future selection of specific indicator species, for example Thiobacillus, while rare taxa no longer need excessive in-depth analysis, which would greatly improve microbial diagnosis efficiency.

[Health Risk Assessment of Soil Heavy Metals in a Small Watershed of a Mining Area in Yunnan].

The purpose of this study was to explore the pollution of soil heavy metals and the health risk of the contaminated soil to residents, which was affected by the copper mine in a small basin of a mining area in Yunnan Province. Soil (39 samples), sediment (six samples), water, and corresponding suspended particle (six samples) and dust (one sample) samples were collected. The contents of Cd, Pb, Hg, As, Zn, Cu, Ni, and Cr in the samples and the soil pH were determined. The spatial distribution of heavy metals was analyzed, and the source of soil heavy metals was innovatively traced by the relative proportion of heavy metals in various media. The geo-accumulation index, Nemerow comprehensive pollution index, and potential ecological risk index were used to evaluate and analyze the pollution status and the potential ecological risk of soil heavy metals in the watershed, whereas the health risk model recommended by USEPA was applied to evaluate the health risk. The results showed that the heavy metals in the soil of the upstream area might be derived from the synergistic input of irrigation, atmospheric deposition, and soil erosion. In the middle reaches and lower reaches, the irrigation and the soil erosion of sloping land mainly contributed the heavy metal input, respectively. It was also found that the pollution degree in the upstream area was higher than that in the downstream area. The farmland soil was seriously polluted by Cd, Zn, Pb, and Cu, and Cd, Zn, and Pb had high potential ecological risks. Although residents did not face the risk of non-cancer diseases, the carcinogenic risk had exceeded the acceptable level, and children were at higher risk of cancer. In addition, although the content of As in the soil was lower than that of Cd, Zn, and Pb, it had a higher carcinogenic risk.

Mining tailings and alkali activation: a comprehensive bibliometric review.

Significant amounts of mining tailings are generated and disposed of every year in dams, leading to potentially serious environmental and safety problems. To identify alternatives for the disposal of these wastes, research works involving their potential application as precursors in the development of alkaline-activated materials have been published in recent years. In this context, the objective of this paper is to present an overview of the main contributions already made on the subject, identified through a bibliometric review and content analysis in the Scopus and Web of Science databases. There was an exponential growth of interest in the subject in the period 2019-2021, when more than 50% of the papers were published. The most used tailings and sub-areas of research were also identified.

Plant species selection by hybrid multiple-attribute decision-making model for promoting green mining in the Sungun copper mine, Iran.

Adopting the most suitable plant species selection is a multi-dimensional problem. Many parameters affect judges' decisions. Accordingly, the present study aimed to develop a multi-attribute platform for plant species selection consisting of parameters such as aesthetic outlook, resistance in front of insects, plant disease resistance, economic efficiency, pollution prevention, erosion reduction, and growth rate. The plant species selection was performed according to the primary factors. Along with the priorities mentioned above, a multi-attribute decision-making (MADM) model was presented to define the selected species based on the secondary factors. This study used two methods (Entropy and AHP) to attribute weighting because plant species selection is highly case sensitive, and global weighting was fundamental. Therefore, attribute weighting was calculated by two objective and subjective methods, respectively. Then, the ELECTRE method was applied for ranking plant species in acidic and alkaline soil types in the Sungun copper mine of Iran. This case study results showed that Acer campestre, Robinia pseudoacacia, Juniperus communis, Betula pendula, Ulmus minor, and Rhus coriria had more priority in acidic soil type, respectively. Similarly, Juglans regia was the best type for alkaline soil, and either Ficus carica or Fraxinus excelsior is located in the following ranking. When the number of possible options was more significant, the outranking result taken by the ELECTRE method was more reliable.

[Pollution Characteristics and Driving Factors of Antibiotic Resistance Genes in Dexing Copper Mine].

Environmental antibiotic resistance genes (ARGs) are a type of emerging pollutant that has been widely concerning. However, investigations into the contamination of ARGs in mining areas have been scarce. Here, the types, abundances, and influencing factors of ARGs and mobile genetic elements (MGEs) were investigated in soil/sediment of the Dexing copper mine area in June 2019 by using high-throughput quantitative polymerase chain reaction (HT-qPCR). Furthermore, the influence of heavy metals and MGEs factors on ARGs was studied using the multivariate statistical analysis method. The results showed that there were a variety of ARGs in the Dexing copper mining area, and the maximum detected number of ARGs was 70. At the relative abundance level, the relative abundance of individual sites reached 0.085. In the Dexing copper mine, multidrug, MLSB, ß-lactamases, tetracycline, and aminoglycoside resistance genes were the dominant ARG classes based on their numbers. The efflux pump was the most dominant resistance mechanism, followed by antibiotic deactivation and cellular protection. There was a significant positive correlation between the abundance of ARGs and MGEs (P<0.05), and TnpA04 and Inti1 were the most important MEGs in Dexing copper mine samples, indicating that horizontal gene transfer might be an important mechanism for the spread of environmental ARGs. The results of Pearson correlation analysis and RDA analysis showed that the content of Cu was significantly positively correlated with the detected numbers and abundance of ARGs (P<0.05), suggesting that the high content of Cu in the Dexing copper mining area might be an important driving factor for the formation of ARGs.

Characterizations of heavy metal contamination, microbial community, and resistance genes in a tailing of the largest copper mine in China.

Copper mine tailings are causing great environmental concern nowadays due to their high contents of heavy metals. These hazards may release to air, water, and soil, posing great threat to the living organisms in the surroundings. In the present work, we profiled the heavy metal contents, microbiome and resistome of a mine tailing in Dexing Copper Mine, which is the largest open-pit copper mine in China. A total of 39.75 Gb clean data was generated by metagenomics sequencing and taxonomy analysis revealed Actinobacteria, Proteobacteria, Acidobacteria, Euryarchaeota, and Nitrospirae as the most abundant phylum in this tailing. In general, 76 heavy metal resistance genes (HMRGs) and 194 antimicrobial resistance genes (ARGs) were identified with merA and rpoB2 as the most abundant HMRG and ARG, respectively. We also compared the differences of heavy metal concentrations among the six sampling sites in the same tailing and found that significant differences exited in copper and zinc. Hierarchical cluster analysis showed that the samples from the six sampling sites were clustering in two groups based on heavy metal concentrations. Accordingly, clustering based on microbial composition and relative abundances of resistance genes exhibited the same clustering pattern, indicating a possible shaping influence of heavy metals on the microbiome and resistome in this tailing. Our work presented heavy metal contents, microbial composition and resistance genes in a copper mine tailing of the largest copper mine in China, and these data will of great use in the surveillance, maintenance, and remediation of this tailing.

Heavy metal(loid) pollution of a hard-rock aquifer: evidence, distribution, and source.

Composition of groundwater in the mining areas can be affected by oxidation of sulfide minerals and related reactions. Given that in the Miduk copper mine area, groundwater is the only available water resource for drinking and agriculture purposes. In the study area, assessment and measurement of groundwater physicochemical properties such as pH, TDS, EC, major cations, and major anions were performed. Physicochemical studies showed that the calcium and sulfate are the main cations and anions (Ca-SO4 water type), respectively. Groundwater in the area is mainly fresh and with a source of meteoric water infiltration. Three pollution indices, HEI, HPI, and Cd, were selected to evaluate the concentration level of ten of heavy metal(loid)s (Al, As, Cd, Cu, Fe, Mn, Mo, Ni, Pb, and Zn). To investigate the source and relations between heavy metal(loid)s, multivariate statistical analysis was executed for eleven variables. The results of pollution indices showed that samples in group 1 (mine pit area) have the highest level of pollution and considering that the samples of this group are in the closest distance to the mine pit and group 3 (springs) around the study area had the least level of pollution. Multivariate statistical analysis showed a negative correlation between heavy metal(loid)s (with the exception of arsenic and molybdenum) with the distance from the mine pit. This suggested the origin of these elements can be considered as anthropogenic source due to mining activities. The geogenic source of arsenic, molybdenum, and lead can be cited based on Spearman's correlation coefficient supported by PCA analysis.

Geochemical stability of potentially toxic elements in porphyry copper-mine tailings from Chile as linked to ecological and human health risks assessment.

The geochemical stability, in terms of potential mobility and derived ecological and human health risks of potentially toxic elements (PTEs), of diverse fresh and old porphyry Cu-mine tailings from Chile was assessed through an integrated methodology comprising four interrelated investigation levels: (1) chemical composition and contamination degree of tailings by PTEs, (2) mineralogical characterization by X-ray diffraction and quantitative automated mineralogy analysis by scanning electron microscopy (QEMSCAN®), (3) partitioning and potential mobility of PTEs within the tailings by a sequential extraction procedure (SEP) and leaching tests, and (4) ecological risk assessment (ERA) and human health risk assessment (HHRA). According to pollution indices, Cu, As, Pb, and Mo are most concerning PTEs present in the tailings. SEP shows that major portion of the PTEs are strongly fixed as residual fraction, and thus are poorly mobilizable and bioavailable. Among the PTEs, Cu, As, and Mo were identified as the PTEs most prone to mobilization. Leaching tests show that a low fraction of PTEs is water-leachable. Seawater enhances Mn and As leaching, while process water increases the leaching of Cu, Mn, and Mo. Phosphate particularly promotes leaching of As and Cu, whereas it does not mobilize or even immobilize Pb in the tailings. ERA suggests that mainly old tailings pose a very high potential risk for ecological receptors (PERI = 663-3356), mostly due to Cu and As. HHRA indicates that the old tailings pose higher potential non-carcinogenic and carcinogenic health risks, while the risk decreases in the order ingestion > dermal > inhalation for both children and adults. Non carcinogenic and carcinogenic HHRA points to As as the main PTE of concern via ingestion pathway in the tailings. Overall, the results revealed that particularly old tailings, containing mixed slag-tailings, pose considerable risks to the environment and human health due to potential PTEs mobilization and this aspect requires scrutiny for proper tailings management, including storage, sealing, and eventual tailings reprocessing and/or site rehabilitation after closure.