Hydrogeochemical Insights into the Sustainable Prospects of Groundwater Resources in an Alpine Irrigation Area on Tibetan Plateau DOI Open Access

Shaokang Yang,

Zhen Zhao, Shengbin Wang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9229 - 9229

Published: Oct. 24, 2024

The Tibetan Plateau is the “Asia Water Tower” and pivotal for Asia whole world. Groundwater essential sustainable development in its alpine regions, yet chemical quality increasingly limits usability. present research examines hydrochemical characteristics origins of phreatic groundwater irrigation areas. study probes signatures, quality, regulatory mechanisms a representative area Plateau. findings indicate that maintains slightly alkaline fresh status, with pH values ranging from 7.07 to 8.06 Total Dissolved Solids (TDS) between 300.25 638.38 mg/L. composition mainly HCO3-Ca type, minority HCO3-Na·Ca types, closely mirroring profile river water. Nitrogen contaminants, including NO3−, NO2−, NH4+, exhibit considerable concentration fluctuations within aquifer. Approximately 9.09% sampled groundwaters exceed NO2− threshold 0.02 mg/L, 28.57% surpass NH4+ limit 0.2 mg/L potable water standards. All are below permissible NO3− (50 mg/L). Phreatic exhibits relatively good potability, as assessed by entropy-weighted index (EWQI), 95.24% having an EWQI value 100. However, potential health risks associated elevated levels, rather than merit attention when such consumed minors at certain sporadic sampling locations. does not sodium hazards or soil permeability damage, salinity require attention. makeup primarily dictated rock–water interactions, silicate weathering cation exchange reactions, occasional influences dissolution evaporites carbonates, well reverse cation-exchange processes. While agricultural activities have caused notable rise salinity, they main contributors nitrogen pollution area’s groundwater. Agricultural-derived pollutants vigilant monitoring avert extensive deterioration ensure management resources

Language: Английский

Comparative Assessment of Machine Learning Models for Groundwater Quality Prediction Using Various Parameters DOI
Majid Niazkar, Reza Piraei, Mohammad Reza Goodarzi

et al.

Environmental Processes, Journal Year: 2025, Volume and Issue: 12(1)

Published: Feb. 11, 2025

Language: Английский

Citations

4

Application of multi-criteria group decision-making for water quality management DOI
Amin Karbasi Ahvazi, Taghi Ebadi, Mahdi Zarghami

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(8)

Published: July 2, 2024

Language: Английский

Citations

5

Comprehensive evaluation of groundwater quality in population-dense and extensive agricultural regions and study on its relationship with agricultural production and human activities DOI
Beibei Zhang, Xin Hu,

Yu Yang

et al.

Environmental Geochemistry and Health, Journal Year: 2025, Volume and Issue: 47(3)

Published: Jan. 30, 2025

Language: Английский

Citations

0

Hydrogeochemical processes regulating groundwater quality and its suitability for drinking purposes in the recent alluvial plain, Blue Nile Region, Sudan DOI

Yousif Hassan Mohamed Salh,

Chunli Su, Javed Iqbal

et al.

Environmental Geochemistry and Health, Journal Year: 2025, Volume and Issue: 47(4)

Published: March 5, 2025

Language: Английский

Citations

0

A Novel Dual-Optimization Paradigm for Fuzzy Logic Controller Design and Refinement Using the Walrus Tuna Whale Optimization Algorithm DOI

N. Vaishnavi,

P Vijayalakshmi,

S. Balamurugan

et al.

Algorithms for intelligent systems, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 20

Published: Jan. 1, 2025

Language: Английский

Citations

0

Assessment of groundwater quality for irrigation using a new customized irrigation water quality index DOI
Oualid Boukich,

Rihab Ben-tahar,

Mohamed Brahmi

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102346 - 102346

Published: March 30, 2025

Language: Английский

Citations

0

Geospatial mapping and multivariate statistical analysis for assessing groundwater quality in Bou Arada-El Aroussa plain, Northwestern Tunisia DOI Creative Commons
Imed Ben Slimène,

Amor Ben Moussa,

S. Geyer

et al.

Acque Sotterranee-Italian Journal of Groundwater, Journal Year: 2025, Volume and Issue: 14(1)

Published: April 1, 2025

This paper presents an integrated study of groundwater quality for irrigation and its spatial distribution in the Bou Arada-El Arroussa plain to guide decision-makers development sustainable resource management plans. Assessing water this involves a process that begins with statistical analysis determine similarities between samples group them into clusters. is followed by principal component on physico-chemical data relationships variables visualize their independence correlation matrix. Statistical analyses combined graphical approach through diagrams such as Piper, Gibbs, Wilcox USSL are used better assess properties, facies interactions minerals within aquifer. In addition, geographic information system (GIS) tools were combine indices create map distribution. Clustering results reveal three types water: first type includes F04, F05 P01, characterized high concentration TDS. The second consists solely well P23, distinguished elevated level K+, Mg2+ NO3– ions. third can be divided two subsets: one dominated SO42– other Cl–, additional ions HCO3–, Ca2+ Na+. Major show order abundance was SO42–>Cl–>HCO3–>Ca2+>Mg2+>NO3–>K+. Piper ion ratios revealed similar obtained from cluster dendrogram: Ca-Mg-SO4, mixed Na-Cl facies. hardness index (TH) classifies hard-brackish category due magnesium calcium content, which crucial plant growth especially agricultural area. investigation relationship chemistry mineralogical composition studied aquifer reveals all fall field corresponding water-rock interaction, exception F04 showing predominant evaporation. Chadha diagram shows majority located reverse exchange zone, reflecting clay minerals. belong C3-S1 category, not suitable salinity content. Evaluation using standards use. A multi-criteria layers (SAR, SSP, PS, RSC, Na% IWQI) created synthesis quality. western part Bou-Arada El contains good-quality water, while Eastern poorest related upwelling poor-quality deep water.

Language: Английский

Citations

0

Integrating principal component weighted water quality index (PCWQI) model with GIS for evaluation groundwater quality in Gangetic West Bengal, India DOI
Jadab Chandra Halder

Environmental Pollution, Journal Year: 2025, Volume and Issue: unknown, P. 126167 - 126167

Published: April 1, 2025

Language: Английский

Citations

0

Integrated approach to understand the multiple natural and anthropogenic stresses on intensively irrigated coastal aquifer in the Mediterranean region DOI
Jamila Hammami Abidi,

Hussam Eldin Elzain,

S. Chidambaram

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 252, P. 118757 - 118757

Published: March 26, 2024

Language: Английский

Citations

2

A fuzzy logic approach within the DPSIR framework to address the inherent uncertainty and complexity of water security assessments DOI Creative Commons
Liang Yuan, Zhijie Zhou,

Weijun He

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 170, P. 112984 - 112984

Published: Dec. 28, 2024

Language: Английский

Citations

2