The Geological Survey of India (GSI) is a scientific agency of India. It was founded in 1851, is a Government of India organization under the Ministry of Mines, one of the oldest of such organisations in the world and the second oldest survey in India after Survey of India (founded in 1767), for conducting geological surveys and studies of India, and also as the prime provider of basic earth science information to government, industry and general public, as well as the official participant in steel, coal, metals, cement, power industries and international geoscientific forums..
This study evaluates the hydrogeochemical status of the aquifers within the Chhattisgarh Basin overlying the concealed, metallogenic Sonakhan Greenstone Belt. By integrating pH, electrical conductivity (EC), major ions, and heavy metals (As, Cu, Fe, Mn, Ni, and Zn) from 53 groundwater samples, we evaluate the influence of mineral-rich basement within the shallow hydrologic regime. The findings indicate that the groundwater quality for both drinking and irrigation is primarily governed by silicate weathering and secondary carbonate dissolution, which remains well within the permissible limits. Localized enrichments of Na+, Cl−, and F− near Churela and Sarsiwa suggest limited anthropogenic overprints and evaporative effects, implying that the regional hydrological system is in a state of natural rock-water equilibrium. Non-carcinogenic health hazard from heavy metals for both adults and children is negligible, which reveals a total absence of heavy metal mobilization into the overlying aquifers, despite the presence of hydrothermal mineralized zones in the basement. Our findings suggest that the dense, hydrogeologically competent Mesoproterozoic sedimentary cover functions as a robust geochemical barrier, sequestering the mineralized basement and hindering the upward migration of toxic solutes.
The selection of efficient landfill sites is a major problem in waste management for rapidly growing urban cities. In this study, a GIS-based approach combined with the Multi-Criteria Decision Making (MCDM) was used to identify the suitable landfill sites in Dindigul, India. The key parameters, such as slope, drainage, surface water body, habitation, protected areas, road and railway network, soil, landuse pattern, geomorphology, geology, groundwater level, and other site-specific parameters, were analyzed following Central Pollution Control Board 2007 guidelines. Thematic maps were developed and analysed using a GIS-based MCDM technique, identifying 13 preliminary sites. After assessing the Google Earth imagery, 7 potential sites were found. Following an appropriate field investigation, two sites, namely Site-3 and Site-5, with an area of 44.56 hectares and 12.85 hectares, were found to be suitable for Municipal Solid Waste disposal, respectively. Furthermore, both identified facilities are located away from the residential area and outside the city ensuring public health safety. The methodology also aligns with the Sustainable Development Goals (SDGs), especially SDG 11 (Sustainable Cities and Communities), SDG 12 (Responsible Consumption and Production), and SDG 15 (Life on Land). The proposed method is adoptable for waste management planning in other cities, promoting sustainable landfill site selection.
Landslide susceptibility assessment in basaltic terrain of the Deccan Volcanic Province, India, remains challenging due to complex geomorphic controls and limited evaluation of integrated modelling approaches. This study aims to compare commonly used statistical and heuristic models and to examine whether their integration improves susceptibility prediction. Bivariate statistical models of Modified Frequency Ratio (MFR), Statistical Index, Weight of Evidence and the heuristic Analytic Hierarchy Process (AHP) models were applied using six conditioning factors: slope inclination, slope aspect, slope curvature, geomorphology, land use and land cover and slope forming material. A landslide inventory comprising 99 documented landslides was used for model development and validation. Landslide Susceptibility Index and Landslide Occurrence Favourability Scores were calculated to generate four susceptibility maps, which were evaluated using Receiver Operating Characteristic analysis. Binary classification using mean, median and Natural Breaks (Jenks) thresholds enabled accuracy assessment through contingency tables, including Type I and Type II errors. Among individual models, MFR showed the best performance and was therefore integrated with AHP. The integrated model achieved an Area Under the Curve of 0.827, representing improvements of 4.9
Crustal assimilation is a fundamental process that significantly contributes to magmatic evolution and diversification. Distinguishing between crustal contamination and source contamination (subduction-related recycling of the crustal material), largely based on geochemical data, presents significant challenges and often leads to misleading petrogenetic interpretations. In this study, we evaluate the role of crustal assimilation in the magmatic evolution of mafic dyke swarms through petrological, geochemical, and multi-isotopic (Sr-Nd-Pb-Hf) study on NNW to NW and E-W trending mafic dykes from the tectonic contact between the Bastar Craton and the Eastern Ghat Mobile Belt, India. All the studied dykes show ophitic texture, and the major mineralogy includes compositionally zoned clinopyroxenes, plagioclase, and hydrous mafic silicates such as amphiboles and mica. The presence of significant amounts of myrmekitic intergrowths of quartz and plagioclase in the groundmass indicates the assimilation of granitic country rock into the evolving magma. Geochemical data classify these rocks as basaltic/gabbroic to basaltic andesitic/gabbroic diorite. The NNW to NW trending mafic dykes exhibit substantial geochemical similarity to the similar to 1.88 Ga Narayanpur Kondagaon mafic dykes of the Bastanar swarm, while the E-W trending mafic dykes resemble the spatially proximal E-W trending similar to 2.25 Ga Churra dyke swarm. All the mafic dykes show arc-related geochemical signatures, including negative Nb, Ta, and Ti anomalies on primitive mantle-normalized multi-element patterns, as well as an enrichment of large ion lithophile elements over high field strength elements. Our petrological and geochemical study reveals a strong influence of crustal contamination on magmatic evolution. Geochemical indicators of crustal input, such as prominent negative Nb anomaly (Nb/Nb*), low Ce/Pb and Nb/U ratios, demonstrate a strong correlation with increasing silica content in these rocks, indicating the assimilation of granitic country rock. The initial Sr-87/Sr-86 ratios in the studied dykes show an increasing trend with silica, while the initial Nd-143/Nd-144 and Hf-176/Hf-177 ratios decrease with increasing silica, reflecting the strong control of crustal assimilation on the geochemistry of these rocks. A similar trend with silica is observed in the initial Pb-208/Pb-204 and Pb-206/Pb-204, further supporting a strong control of crustal assimilation. AFC modelling using alpha-MELTS also reveals crustal contamination during magma evolution, with modelling results consistent with late-stage assimilation of the cold continental crust. We suggest that the arc-related signatures of the mafic dykes can be potentially deceptive and have been significantly influenced by the assimilation of continental crust during their ascent to the surface. The presence of magmatic amphiboles in the least contaminated dykes points towards the derivation of primary melts from a hydrous sub-continental lithospheric mantle enriched by ancient subduction/accretion-related processes during the Archean evolution of the craton.
Intertrappean bole horizons occurring between successive basaltic lava flows represent periods of volcanic quiescence during which weathering and soil formation took place. These horizons preserve geochemical signatures that can be used to reconstruct paleoclimatic conditions. Twenty-eight samples of red bole and green bole horizons were analyzed for major oxides, trace elements and rare earth elements. Chemical Index of Alteration (CIA), trace-element relationships (Cr–Ni, V–Cr, Sr–CaO, Zr–TiO₂) and REE correlations (La–Ce) were used to evaluate weathering intensity and paleoclimate. Red bole horizons show higher CIA values and enrichment of immobile elements, indicating intense chemical weathering under humid climatic conditions, whereas green bole horizons represent comparatively less weathered material formed under moderate weathering conditions. The results suggest that bole horizons represent paleosol layers developed during warm and humid climatic intervals between basaltic eruptions.