Browsing by Author "Sanjay Kumar Tiwari"

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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.
Delineation of Groundwater Potential Zones Using GIS and Analytic Hierarchy Process in Parts of Varanasi and Chandauli Districts
(Technoscience Publications, 2025) Pooja Tripathi; Birendra Pratap; Sanjay Kumar Tiwari; Rajnish Kumar; Sandeep Kumar Maddheshiya; Purnendu Shekhar Shukla; Mohammad Ashraf
This study employs Remote Sensing (RS) and Geographic Information Systems (GIS) to delineate groundwater potential zones. Various thematic layers, including geomorphology, land use and land cover, geology, rainfall, slope, soil composition, drainage density, and the Topographic Wetness Index (TWI), were integrated using a weighted linear combination in the GIS platform’s spatial analyst tool. The Analytic Hierarchy Process (AHP) was used to assign different ranks to these layers and their sublayers. Groundwater potential zones were categorized as poor (16.54%, 96.25 km2), moderate (67.20%, 391.13 km2), and good (16.26%, 94.62 km2). Validation involved observing water levels in various wells within the study area, with the results’ reliability assessed using a Receiver Operating Characteristic (ROC) curve, demonstrating an accuracy of 88%. The study area faces rapid urbanization and industrialization, stressing the aquifer’s groundwater availability. Identifying groundwater potential zones is thus crucial for effective groundwater development and management. © 2025 Technoscience Publications. All rights reserved.