Hydrogeochemistry, Water Quality, and Health Risk Analysis of Phreatic Groundwater in the Urban Area of Yibin City, Southwestern China DOI Open Access

Xiangchuan Wu,

Jinhai Yu, Shiming Yang

et al.

Water, Journal Year: 2024, Volume and Issue: 16(24), P. 3599 - 3599

Published: Dec. 13, 2024

With rapid urbanization, intensified agricultural activities, and industrialization, groundwater resources are increasingly threatened by pollution. Industrial wastewater discharge the extensive use of fertilizers in particular, have had substantial impacts on quality. This study examines 18 samples collected from main urban area Yibin City to assess hydrochemical characteristics, spatial distribution, source attribution, water quality, human health risks. Statistical analysis reveals significant exceedances TDS, NO3−, Mn, As levels groundwater, with elevated concentrations B as well. Isotopic identifies atmospheric rainfall primary recharge for area, water–rock interactions limestone dissolution playing key roles shaping its chemical composition. Applying Entropy-Weighted Water Quality Index (EWQI) a comprehensive quality assessment, found that 94.44% were rated “good”, indicating relatively high overall Deterministic risk assessments indicate 72.22% non-carcinogenic risks below threshold 1, while 66.67% carcinogenic 1.00 × 10−4. Monte Carlo simulations produced similar results, reinforcing reliability assessment. Although area’s is generally good, persists, underscoring need ensure safety drinking household local residents. provides valuable reference rational management remediation resources.

Language: Английский

Machine learning approaches to identify hydrochemical processes and predict drinking water quality for groundwater environment in a metropolis DOI Creative Commons
Zhan Xie,

Weiting Liu,

Si Chen

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 58, P. 102227 - 102227

Published: Feb. 17, 2025

Language: Английский

Citations

1

Appraisal of potential toxic elements pollution, sources apportionment, and health risks in groundwater from a coastal area of SE China DOI
Denghui Wei, Shiming Yang, Lin Zou

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 377, P. 124691 - 124691

Published: Feb. 27, 2025

Language: Английский

Citations

1

Hydrochemical insights, water quality, and human health risk assessment of groundwater in a coastal area of southeastern China DOI
Yanhong Zheng, Denghui Wei,

Jie Gan

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(10)

Published: Sept. 20, 2024

Language: Английский

Citations

5

Optimized groundwater quality evaluation using unsupervised machine learning, game theory and Monte-Carlo simulation DOI
Yuting Yan,

Yunhui Zhang,

Shiming Yang

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 371, P. 122902 - 122902

Published: Nov. 11, 2024

Language: Английский

Citations

4

Assessment of Potentially Harmful Elements in Surface and Groundwater from the granito-gneissic aquiferous formations in Bertoua city and environs, East Region, Cameroon, Central Africa: Effects on human health DOI

Sharon Ntube Ngwese,

Hassina Mouri,

Richard Ayuk II Akoachere

et al.

Groundwater for Sustainable Development, Journal Year: 2025, Volume and Issue: unknown, P. 101420 - 101420

Published: Feb. 1, 2025

Language: Английский

Citations

0

Assessment of geothermal waters in Yunnan, China: Distribution, quality and driving factors DOI
Zhaojun Zeng, Yang Li, Yuejü Cui

et al.

Geothermics, Journal Year: 2025, Volume and Issue: 130, P. 103323 - 103323

Published: March 16, 2025

Language: Английский

Citations

0

Geospatial Analysis, Source Apportionment, and Ecological–Health Risks Assessment of Topsoil Heavy Metal(loid)s in a Typical Agricultural Area DOI Creative Commons
Denghui Wei, Shiming Yang, Haidong Li

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(9), P. 913 - 913

Published: April 22, 2025

Soil environmental protection has become a pressing issue for sustainable development. This study collected 153 topsoil samples from typical agricultural area to evaluate the contamination characteristics of heavy metal(loid)s (HMs), identify their potential sources, and assess associated ecological human health risks. The results showed that mean concentration HMs was in order Zn > Cr Ni Pb Cu As Cd Hg; all were below background levels, except Cd. geo-accumulation index (Igeo) improved Nemerow (INI) revealed overall pollution level considered as no or slight contamination, while posed low risk according hazard factor (Ei) (PERI). In addition, three main sources identified through positive matrix factorization (PMF) model: natural source (48.2%; contributed As, Ni, Cu, Pb, Zn), coal burning waste disposal (24%; Hg Cd), activities (27.8%; Cr). (HHR) assessment model Monte Carlo simulation applied risks, suggested children faced higher risks than adults, with 45.83% exceeding non-carcinogenic acceptable limit. contributors carcinogenic respectively. findings local management development agriculture.

Language: Английский

Citations

0

Spatial Distribution and Trend Analysis of Groundwater Contaminants Using the ArcGIS Geostatistical Analysis (Kriging) Algorithm; The case of Gurage Zone, Ethiopia DOI Creative Commons

Abel Amsalu Ayalew,

Moges Tariku Tegenu

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 24, 2024

Abstract The study explores the spatial distribution and trends of groundwater pollutants focusing on calcium four other key water quality parameters in Gurage Zone, Ethiopia, 2024. It uses ArcGIS geostatistical analysis tool with Kriging algorithm to map analyze variability contaminants. primary aim is identify areas high levels understand patterns. identifies contamination hotspots associated natural processes human activities. Twenty-seven samples were collected from various sites, like calcium, total dissolved solids, hardness, conductivity, alkalinity measured. findings show that contaminants varies significantly across different areas, some exceeding safe drinking limits. reveals southern region has highest concentration, shallow local boreholes. deeper wells have higher conductivity. trend shows increased pollutant along X Y axes. model effectively predicted unsampled offering a reliable technique aimed at monitoring. provides important insights for authorities implement interventions protection Zone.

Language: Английский

Citations

1

Identifying the genesis of hydrothermal activities in the Xiangcheng fault belt, southwestern China: Evidence from hydrochemistry and stable isotopes DOI Creative Commons

Jinhang Huang,

Yunhui Zhang,

Chengdong Deng

et al.

Ore Geology Reviews, Journal Year: 2024, Volume and Issue: 173, P. 106221 - 106221

Published: Sept. 8, 2024

Language: Английский

Citations

0

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

Jiayi Du,

Chao Jia

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 481, P. 136514 - 136514

Published: Nov. 15, 2024

Language: Английский

Citations

0