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The present study aimed at exploring the sources of salinity and the link it shares with the enrichment of As (arsenic) and F- (fluoride) in the groundwater of Rachna Doab. Total Dissolved Solids (TDS) were used as the measure of salinity to classify samples into three groups: TDS <1000 mg/L (freshwater), 1000-3000 mg/L (slightly saline) and 3000-10,000 mg/L (moderately saline). The stable isotope analysis (δH and δO relative to VSMOW) were used to explore the sources of salinity and a conceptual model, based on secondary data was used for comparing the current and past scenarios of groundwater salinization sources. Groundwater ion chemistry and geochemical modeling (PHREEQC) were used to develop a link between the occurrence of salinity and enrichment patterns of As and F- in the groundwater of study area. TDS, As and F- concentrations in groundwater ranged from 234 to 4557 mg/L, below detection limit to 240 μg/L and below detection limit to 3.9 mg/L, respectively. Mineral dissolution, ion exchange processes, and partial input of evaporation were identified as the factors affecting groundwater salinity in the region in accordance with the conceptual model developed based on secondary data. Groundwater salinity accounts as one of the factors that positively influence the enrichment of F- in groundwater, whereas As shows no clear relationship with saline groundwaters.
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http://dx.doi.org/10.1016/j.envpol.2020.115710 | DOI Listing |
Environ Res
December 2024
School of Hydraulic Engineering, Dalian University of Technology, Dalian, 116024, China.
Groundwater pollution has become a global challenge, posing significant threats to human health and ecological environments. Machine learning, with its superior ability to capture non-linear relationships in data, has shown significant potential in addressing the groundwater pollution issues. This review presents a comprehensive bibliometric analysis of 1,462 articles published between 2000 and 2023, offering an overview of the current state of research, analyzing development trends, and suggesting future directions.
View Article and Find Full Text PDFSci Rep
December 2024
Centre for Ecology, Environment and Sustainable Development, Tata Institute of Social Sciences, Guwahati, Assam, 781013, India.
The current study investigates groundwater contamination in Darrang district, situated in the flood-prone Brahmaputra Valley. This research evaluates the concentrations and geospatial distributions of iron, fluoride, and arsenic in groundwater samples (n = 347) and assesses their potential ecotoxicological risks to human health. Multivariate statistical techniques were used to investigate the sources and the mobilization mechanism of the contaminants in the aquifer system.
View Article and Find Full Text PDFSci Total Environ
December 2024
Department of Zoology, Visva-Bharati, Santiniketan 731235, West Bengal, India. Electronic address:
Chronic exposure to inorganic arsenic (iAs) and fluoride (F) affect gut health and potentially damage organs. The present study investigates the interplay between gut bacteria and oxidative stress (measured by MDA level, GSH level, catalase activity, Nrf2 translocation and expression) in zebrafish exposed to F (NaF 15 ppm) and As (AsO 50 ppb) alone or in combination. Combined exposure to As and F reduced gut bacterial alteration and imposed less oxidative stress compared to F- exposure alone.
View Article and Find Full Text PDFJ Environ Manage
December 2024
Department of Earth and Environmental Sciences and Williamson Research Centre for Molecular Environmental Science, The University of Manchester, Williamson Building, Oxford Road, Manchester, M13 9PL, UK. Electronic address:
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