Groundwater geochemistry and irrigation suitability in the semi-arid Melur block of Madurai district, south India

Environmental Earth Sciences, Год журнала: 2025, Номер 84(5)

Опубликована: Фев. 26, 2025

Язык: Английский

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Evolution of chemical characteristics and irrigation suitability of groundwater in arid and semi-arid regions

Agricultural Water Management, Год журнала: 2025, Номер 311, С. 109361 - 109361

Опубликована: Фев. 22, 2025

Язык: Английский

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Unravelling integrated groundwater management in pollution-prone agricultural cities: a synergistic approach combining probabilistic risk, source apportionment and artificial intelligence

Journal of Hazardous Materials, Год журнала: 2024, Номер 481, С. 136514 - 136514

Опубликована: Ноя. 15, 2024

Язык: Английский

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Regional Irrigation Water Quality Index for the Old Brahmaputra River, Bangladesh: A Multivariate and GIS-Based Spatiotemporal Assessment

Results in Engineering, Год журнала: 2024, Номер unknown, С. 103667 - 103667

Опубликована: Дек. 1, 2024

Язык: Английский

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Assessing groundwater quality and suitability in Qatar: Strategic insights for sustainable water management and environmental protection

Environmental and Sustainability Indicators, Год журнала: 2025, Номер unknown, С. 100582 - 100582

Опубликована: Янв. 1, 2025

Язык: Английский

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Hydrogeochemical process, multivariate statistical, geospatial and index approach for evaluation of groundwater quality for irrigation purposes at Visakhapatnam region, Southern India

Environmental Geochemistry and Health, Год журнала: 2025, Номер 47(5)

Опубликована: Апрель 3, 2025

Язык: Английский

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Impacts of land use changes on the spatiotemporal evolution of groundwater quality in the Yinchuan area, China, based on long-term monitoring data

Physics and Chemistry of the Earth Parts A/B/C, Год журнала: 2024, Номер 136, С. 103722 - 103722

Опубликована: Авг. 30, 2024

Язык: Английский

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A hybrid machine learning approach for imbalanced irrigation water quality classification

Desalination and Water Treatment, Год журнала: 2024, Номер unknown, С. 100910 - 100910

Опубликована: Ноя. 1, 2024

Язык: Английский

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Characterization of Groundwater Hydrochemistry and Temporal Dynamics of Water Quality in the Northern Baiquan Spring Basin

Water, Год журнала: 2024, Номер 16(17), С. 2519 - 2519

Опубликована: Сен. 5, 2024

Groundwater represents a critical resource for sustaining the livelihoods of both urban and rural populations, facilitating economic social development, preserving ecological equilibrium. This study leverages groundwater quality monitoring data from northern Baiquan spring basin (NBSB) to elucidate hydrochemical characteristics decipher temporal variability in water quality. Findings suggest that within NBSB is predominantly weakly alkaline characterized as hard-fresh, with HCO3− Ca2+ predominant ions, which collectively demarcate type HCO3-Ca. The principal constituents are influenced by weathering carbonates silicates alongside dissolution gypsum halite. Moreover, agricultural operations similar human activities have exerted an impact on attributes NBSB’s groundwater. Generally, fluctuations anion concentrations over time more pronounced than those cations, exemplified significant upward trend major ion at BQ03 site later stages. While general deemed satisfactory, most sites experienced escalation indices time, notably BQ03, warrants serious attention. findings this research contribute efficient management sustainable utilization resources NBSB.

Язык: Английский

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A Multivariate Investigation of Groundwater Chemistry Data in Barak River Valley, South Assam, India

Environmental Quality Management, Год журнала: 2024, Номер 34(2)

Опубликована: Сен. 9, 2024

ABSTRACT The present study investigated seven physico‐chemical parameters (depth, pH, chloride, and hardness) trace elements (arsenic [As], copper [Cu], iron [Fe]) in the shallow aquifers of Barak River valley Assam, India. All were within guideline value except pH; approximately 37.5% samples below (6.5–8.5). As ranged from 0 to 270 µg/L, Fe 1.43 61.03 mg/L, Cu concentration 0.25 mg/L. for Fe, 83.33% 70.84% above as prescribed by WHO or BIS. Further, data subjected multivariate statistical analysis (MSA), including principal component (PCA) cluster (CA), investigate pollution sources. PCA identified three components, accounting 72.42% total variance. R‐mode CA two clusters, while Q‐mode six clusters. MSA results signified that human activities more responsible than natural geogenic processes deterioration groundwater quality area.

Язык: Английский

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