Mining pollution control using biogrouting

Doostmohammadi, R.; Olfati, Maryam; Roodsari, Forouzan Ghasemian

doi:10.1134/s1062739117022248

Cited by 8 publications

(2 citation statements)

References 35 publications

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“…They also seep through the soil pores. But the presence of heavy metal mainly in crop soils or agriculture soils pose a greater threat as these metal contaminants tend to accumulate in the plants and biologically magnify (Awadh 2015;Doostmohammadi et al 2017;Haque et al 2019) throughout the food chain and impact the human health (Singh, Verma and Kumar, 2018). Some of these minerals are permissible to a certain extent like iron and act as micronutrients for plants and humans, but metals like arsenic can be fatal in even the slightest dose (Jain, Sharma and Singh, 2018;Hasan et al 2019).…”

Section: Heavy Metal Pollution Assessmentmentioning

confidence: 99%

Soil quality and pollution assessment around Jumar watershed of Jharkhand, India

2021

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This work aimed to analyze the soil quality and heavy metal contamination in the Jumar watershed of Jharkhand and suggests possible measures that could be taken to guarantee suitable management practices. Therefore, in the present work, the soil sampling was done at 8 locations, selected based on site visit. The GPS coordinates of the sampling sites were noted. The soil samples were collected during pre-monsoon and post-monsoon seasons for 2017 and 2018 at a depth of 20 cm from the top. Water samples were collected from the river flowing closer to the sampling points. Then, soil quality parameters such as pH; electrical conductivity; bulk density; moisture content; and surface water quality parameters such as pH, EC, TDS, DO, COD, BOD, alkalinity, turbidity, and nutrients (N & P) were studied. For heavy metal analysis (Pb, Zn, Cu, As, Ni), both soil and water samples were analyzed using an inductive coupled plasma-optical emission spectrophotometer (ICP-OES). Statistical tools like descriptive statistics, multivariate analysis, principal component analysis, correlation coefficient, and ANOVA were applied using SPSS version 21. The data indicate that the values of moisture content varied between 22.06 and 45.7%, soil bulk density varied between 1.20 and 1.55 g/cm 3 , pH varied between 7.79 and 8.17, and EC varied between 116.66 and 207.08 μS/cm. The concentrations of heavy metals in the pre-monsoon season were higher (Zn 0.183 mg/l, Cu 0.09 mg/l, Ni 0.061 mg/l) than those in the post-monsoon season (Zn 0.17 mg/l, Cu 0.076 mg/l, Ni 0.138 mg/l). The water quality index found using pH, EC, TDS, DO, COD, BOD, alkalinity, turbidity, BOD, COD, nutrients, and heavy metals indicated that most sites had excellent water quality, especially in the pre-monsoon period. But in the post-monsoon period of 2017, the water quality index showed that water was in poor condition. Overall water quality was found to be good. It was found that the soil had very slight traces of heavy metals and was slightly alkaline indicating the need for better watershed management practices for the future. PCA showed that the component variables like pH and EC were principal components specially for both pre-monsoon seasons, whereas through ANOVA, it was found that the variable has strong relationship among themselves.

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Section: Heavy Metal Pollution Assessmentmentioning

confidence: 99%

Soil quality and pollution assessment around Jumar watershed of Jharkhand, India

2021

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“…Biogrouting, bacterial hydrolysis to form calcium carbonate, was investigated in the stability and permeability of the sulfide soil in the Angouran mine, the largest lead and zinc mine in the Middle East (Doostmohammadi et al, 2017). The protrusion of water inside depots was prevented by biogrout, mitigating acidic drainage and heavy metals into the ground.…”

Section: Laboratory Kinetic Leach Column Experimentsmentioning

confidence: 99%

Characterization and Treatment of Mine Drainage

Wei¹,

Zhang²,

Han³

et al. 2018

Water Environment Research

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The recent research and development on mine drainage published in 2017 was summarized in this review. In particular, this review was focused on three main aspects: 1) mine drainage and its environmental impact, 2) prediction and prevention, and 3) treatment technologies. The first section covers physiochemical characterization, microbiological characterization, and environmental impacts. The second section includes mine drainage prediction and prevention. The final section focuses physiochemical treatment, biological treatment, passive treatment, and beneficial uses of mine drainage and treatment wastes.

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