Browsing by Author "Saurabh Kumar Barman"

Now showing 1 - 3 of 3

Abundance of trace and rare earth elements (Ree) in ferromanganese nodules of the central Indian ocean basin
(Books and Journals Private Ltd., 2021) Saurabh Kumar Barman; Sanjay Kumar Tiwari; Girijesh Kumar; Ishwar Chandra Rahi
Ferromanganese nodules of CIOB contains significant concentrations of Mn, Cu, Ni, Zn, Co and rare earth elements (REEs). To decide occurrence and enrichment processes of those metals in nodules, we carried out excessive-resolution mineralogical and geochemical research on Mn-nodules. Nodules display an excessive average abundance of Mn (avg. 25.63%), slight Fe (avg. 8.91%) and low contents of trace elements and REEs compared to moderate content of nodules from different oceanic areas. Some crucial metals of economic interest, notably Co, Cu, Ni, Mo, and Zn are lower in nodules of CIOB than in nodules from different oceans. They are rich in REEs, Fe, Mn, Cu, Co, Mo, Ni, Zn and other useful metals. Here, Inductively Coupled Plasma-Mass Spectrometry (ICP-MS), an experimental technique with characteristics of correct principle, apparent interference, smooth operation, and reliable results have been used for bulk chemical analyses for trace and REEs of various size nodules. Twenty-nine elements viz. V, Cr, Mn, Co, Ni, Zn, Rb, Sr, Nb, Mo, Cs, Ba, La, Ce, Pr, Nd, Sm, Eu, Gd, Dy, Ho, Er, Tm, Yb, Lu, Hf, Pb, Th and U were measured. The concentrations of these twenty-nine elements in nodules are strategic REEs resource and could be used for resource exploration, environmental assessment and will likely catalyze further advanced analysis investigation of seabed resources in CIOB. © 2021, Books and Journals Private Ltd.. All rights reserved.
ASSESSMENT OF HEAVY METAL CONTAMINANTS IN GROUNDWATER AROUND MINING AREA BY USING METAL POLLUTION INDICES MULTIVARIATE ANALYSIS AND GIS TECHNIQUE
(University of Chemical Technology and Metallurgy, 2024) Vijayendra Pratap Dheeraj; Chandra Shekhar Singh; Ashwani Kumar Sonkar; Saurabh Kumar Barman
An opencast and underground coal mining each have the potential to have a negative impact on the groundwater table in terms of both its quantity and quality. Leachates from overburden dumps and industrial waste are another issue worldwide; they infiltrate into the groundwater and have a negative impact on the quality of it. A concern is that groundwater will become contaminated with heavy metals. Therefore, in the current study, the groundwater sample have been collected systematically from different sources of water in pre monsoon season (May) of 2022 around Korba coalfield (KCF). The collected water samples were examined for 9 different heavy metals by using ICP-MS (Inductively Coupled Plasma Mass Spectrometer-Perkin Elmer, Optima 4300 DV) instrument. In general, the concentrations of few metals such as Aluminium, Cadmium, Copper, Iron, Lead, and Zinc were found to be well below the acceptable limits of World Health Organization (WHO) and Bureau of Indian Standards (BIS) standard, however Manganese, Barium, and Nickel concentrations were observed to be above to desirable limits of WHO and BIS standard at a few sites which is similar to the results obtained by previous studies. These laboratory data were applied for the calculation of heavy metal pollution indices such as Heavy Metal Pollution Index (HPI), Heavy Metal Evaluation Index (HEI), and Contamination Index (Cd). The multiple approach used to evaluate the metal indices identifies that 80 % of HPI, 85 % of HEI, and 95 % of Cd for groundwater samples mostly classified as “low to medium” class. The spatial diagram of these different indices showed a higher value in the south east part of the region suggesting that the heavy metal leaching from mining activities has little impact on the groundwater in the south east of the examined area. Multivariate statistical studies, like principal component analysis (PCA) analysis reveals that Fe, Pb, and Zn originate from anthropogenic sources like coal mining, while Al and Cd originate from both lithogenic and anthropogenic sources. © (2024), (University of Chemical Technology and Metallurgy). All Rights Reserved.
Delineation of groundwater potential zones in Singrauli coalfield using remote sensing, GIS and multi-influencing factor (MIF) techniques, India
(Springer Science and Business Media Deutschland GmbH, 2023) Ashwani Kumar Sonkar; Ramita Varshney; Ashish Kumar Vishwakarma; Aarif Jamal; Saurabh Kumar Barman
The present research was carried out for delineation of groundwater potential zones in the Singrauli coalfield utilizing combined application of remote sensing, GIS and multi-influencing factor techniques (MIF). The groundwater potential zones (GWPZ) were delineated using six thematic layers like lineament density, land use–land cover (LULC), geology, drainage, slope, and soil. Various tools of ArcGIS were used to digitize and convert these thematic maps into raster data. In addition to it, MIF technique was used to assign fixed score and weight to the components of these raster maps. Furthermore, each weighted thematic layer was statistically calculated to get the GWPZ. The obtained resulting GWPZ were classified into four classes, namely very good, good, very poor, and poor. The groundwater potential zone map indicated very good to good groundwater potential in the plains including cropland, while gentle to moderate slope was found in Talchir and Barakar formation as well as in the pediplains. The LULC, slope and geology have played a major role in the formation of very good groundwater potential zone. Poor to very poor groundwater potential was found in and around the mining area, forest/hilly area with a steep slope, metamorphic terrain and built-up area. These findings may further help the local authorities for enhancing groundwater resource planning in the study area. © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.