Browsing by Author "Surendra Kumar Chandniha"

Now showing 1 - 4 of 4

A synergetic approach for quantification and analysis of coal fires in Jharia Coalfield, India
(Elsevier Ltd, 2023) Ashwani Raju; Anjali Singh; Surendra Kumar Chandniha
Temporal monitoring and understanding of the dynamics of coal fires in the Jharia Coalfield (JCF) are required to reduce its effect on sustainable industrial growth, environment & human safety. This research explores temporal dataset of Landsat 8 OLI Thermal Infrared Sensor (TIRS) from 2015 to 2019 to detect, map and quantify coal fire affected areas in JCF at the colliery level. The results indicated that the East Barora, Sijua, Katras, Kusunda, Kustore, Pootkee Balihari, Bastacolla, Jharia, and Lodna are intensely fire-affected collieries with a significant increase in risk area from 4.57 km2 in 2015 to 11.43 km2 in 2019. The central part of the area is highly affected. The extent of coal fire shows temporal fluctuation between 2015 and 2019, but overall exhibit a significant increase from 2.76 km2 to 7.52 km2. Sijua, Katras, Kusunda, Lodna, and Kustor occupying the central and southeastern parts of the JCF, respectively, constitute nearly ∼85% of the total fire. However, in comparison to the information inferred from the field-based knowledge, the results derived from satellite-based observations are slightly underestimated due to the reason that the coal fire-derived thermal anomalies are the function of depth, intensity and proportion of coal fire in a coarse resolution TIR pixel, structural attributes, interventions from the mining operation and regional land use planning. Further, the risk areas map out using the TIR-based approach have been integrated with the prevailing structural attributes and Landsat 8 OLI-derived surface thermal anomalies, which enabled an understanding of the dynamics of coal fire propagation in JCF. © 2023 Elsevier Ltd
Correction to: Hydrogeochemical characterization of groundwater and their associated potential health risks (Environmental Science and Pollution Research, (2022), 30, 6, (14993-15008), 10.1007/s11356-022-23222-2)
(Springer Science and Business Media Deutschland GmbH, 2023) Anjali Singh; Ashwani Raju; Surendra Kumar Chandniha; Lipi Singh; Inderjeet Tyagi; Rama Rao Karri; Ajay Kumar
The correct affiliations for 5th,6th and 7th Author is presented in this paper. © 2022 Springer-Verlag GmbH Germany, part of Springer Nature.
Hydrogeochemical characterization of groundwater and their associated potential health risks
(Springer Science and Business Media Deutschland GmbH, 2023) Anjali Singh; Ashwani Raju; Surendra Kumar Chandniha; Lipi Singh; Inderjeet Tyagi; Rama Rao Karri; Ajay Kumar
The present study assessed the human health risk exposure from the consumption of poor quality groundwater in the Lucknow area, a part of Central Ganga alluvial plain in India. Around 27 (n = 27) groundwater samples were collected from the study area. The analytical results of the samples (n = 27) collected indicate silicate and carbonate weathering is the dominant process along with cation exchange, sulfide oxidation, and reverse ion exchange. The type of groundwater is Ca2–Na–HCO3− type having all cations and anions within permissible WHO limits except for iron (Fe2+) and nitrate (NO3−). The high concentrations of Fe2 and NO3− in samples indicate the possibility of a non-geogenic point source for the same in an urban-influenced environment. The ionic concentration of dissolved constituents is used in weighted overlay analysis to generate the water quality index (WQI). WQI indicates that most urban areas (~ 98.52%) have fallen in the good to excellent category except few situated in the highly populated parts of Lucknow. The ionic concentrations of Fe2+ and NO3− have been further used to estimate human health risk by integrating regional urban population density data in Lucknow. The risk map shows alarming risks in the west-central part, where nearly ~ 35% of the total area is at moderate to high health risk. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Integrated Assessment of the Hydrogeochemical and Human Risks of Fluoride and Nitrate in Groundwater Using the RS-GIS Tool: Case Study of the Marginal Ganga Alluvial Plain, India
(Multidisciplinary Digital Publishing Institute (MDPI), 2024) Dev Sen Gupta; Ashwani Raju; Abhinav Patel; Surendra Kumar Chandniha; Vaishnavi Sahu; Ankit Kumar; Amit Kumar; Rupesh Kumar; Samyah Salem Refadah
Groundwater contamination with sub-lethal dissolved contaminants poses significant health risks globally, especially in rural India, where access to safe drinking water remains a critical challenge. This study explores the hydrogeochemical characterization and associated health risks of groundwater from shallow aquifers in the Marginal Ganga Alluvial Plain (MGAP) of northern India. The groundwater chemistry is dominated by Ca-Mg-CO3 and Ca-Mg-Cl types, where there is dominance of silicate weathering and the ion-exchange processes are responsible for this solute composition in the groundwater. All the ionic species are within the permissible limits of the World Health Organization, except fluoride (F−) and nitrate (NO3−). Geochemical analysis using bivariate relationships and saturation plots attributes the occurrence of F− to geogenic sources, primarily the chemical weathering of granite-granodiorite, while NO3− contaminants are linked to anthropogenic inputs, such as nitrogen-rich fertilizers, in the absence of a large-scale urban environment. Multivariate statistical analyses, including hierarchical cluster analysis and factor analysis, confirm the predominance of geogenic controls, with NO3−-enriched samples derived from anthropogenic factors. The spatial distribution and probability predictions of F− and NO3− were generated using a non-parametric co-kriging technique approach, aiding in the delineation of contamination hotspots. The integration of the USEPA human health risk assessment methodology with the urbanization index has revealed critical findings, identifying approximately 23% of the study area as being at high risk. This comprehensive approach, which synergizes geospatial analysis and statistical methods, proves to be highly effective in delineating priority zones for health intervention. The results highlight the pressing need for targeted mitigation measures and the implementation of sustainable groundwater management practices at regional, national, and global levels. © 2024 by the authors.