Identification of key controlling factors of groundwater chemistry and probabilistic health risk assessment using kernel density estimation

·Cl-Na. Groundwater samples were categorized into seven groups by the SOM method: Group I (73%)-freshwater, and Groups II-VII containing excessive total iron, fluoride, sulfate, chloride, arsenic, and nitrate, respectively. Hydrogeochemical graphical method and PMF model demonstrated that natural processes acted as the main controlling factor governing the groundwater chemistry (>66.4%), among which 27.3% accounted for the fluoride and arsenic pollution caused by geogenic processes. Anthropogenic factors also played a significant role (≥11.9%), primarily responsible for the elevated nitrate levels. Long-term ingestion of contaminated groundwater may increase the likelihood of both non-carcinogenic and carcinogenic health effects, particularly among children. Groundwater arsenic concentrations in southern Baicheng demand particular attention, as they represent both the primary contributors to health risks and the most sensitive parameters for carcinogenic/non-carcinogenic risk assessments. These insights facilitate targeted regional groundwater management and remediation strategies.

Authors

Institutions

Publication Details

Journal
Ecotoxicology and Environmental Safety
Published
2026-05-18
DOI
https://doi.org/10.1016/j.ecoenv.2026.120270
Primary Topic
Groundwater and Isotope Geochemistry
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of key controlling factors of groundwater chemistry and probabilistic health risk assessment using kernel density estimation

Gexi Zheng, Meizhuang Zhu, Weifei Yang, Qiule He et al.
Ecotoxicology and Environmental Safety
Groundwater and Isotope Geochemistry
article

Identification of key controlling factors of groundwater chemistry and probabilistic health risk assessment using kernel density estimation

Gexi Zheng, Meizhuang Zhu, Weifei Yang, Qiule He, Xinkang Wang, Xiujuan Liang, Xiaoyan Shi, Xingxing Kuang, Changlai Xiao
article en

Abstract

·Cl-Na. Groundwater samples were categorized into seven groups by the SOM method: Group I (73%)-freshwater, and Groups II-VII containing excessive total iron, fluoride, sulfate, chloride, arsenic, and nitrate, respectively. Hydrogeochemical graphical method and PMF model demonstrated that natural processes acted as the main controlling factor governing the groundwater chemistry (>66.4%), among which 27.3% accounted for the fluoride and arsenic pollution caused by geogenic processes. Anthropogenic factors also played a significant role (≥11.9%), primarily responsible for the elevated nitrate levels. Long-term ingestion of contaminated groundwater may increase the likelihood of both non-carcinogenic and carcinogenic health effects, particularly among children. Groundwater arsenic concentrations in southern Baicheng demand particular attention, as they represent both the primary contributors to health risks and the most sensitive parameters for carcinogenic/non-carcinogenic risk assessments. These insights facilitate targeted regional groundwater management and remediation strategies.

Ecotoxicology and Environmental SafetyVol. 318
Jilin University (CN), Southern University of Science and Technology (CN), Urban Planning & Design Institute of Shenzhen (China) (CN)
National Natural Science Foundation of China
Clean water and sanitation
Openalex Percentile: Top 7%
Groundwater and Isotope Geochemistry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.