Identifying sources of mixed groundwater contamination using PMF and stable isotopes: a case study of an industrial park

Groundwater contamination in industrial parks often involves overlapping inputs of nitrogen, chlorinated solvents, and dissolved salts, making source identification difficult. In this study, 45 shallow groundwater samples from a typical industrial park on the northern margin of the Hohhot Basin were investigated using hydrochemical analysis, PMF, and nitrate dual isotopes coupled with MixSIAR. The results showed pronounced salinity enrichment, high mineralization, elevated ammonium, and chlorinated hydrocarbon contamination. NH4+ exceeded the Chinese groundwater standard in 77.78% of samples, whereas vinyl chloride exceeded the WHO guideline value in all samples. Hydrochemical analysis indicated that groundwater chemistry still retained a water-rock interaction background, but had been significantly overprinted by anthropogenic inputs. PMF resolved six factors and showed that groundwater pollution was mainly controlled by high mineralization, high-ammonium wastewater input, and dissolved inorganic salt enrichment, whereas chlorinated-solvent industrial pollution had strong diagnostic significance. MixSIAR identified industrial wastewater as the largest nitrate contributor under both prior settings, followed by fertilizer-derived nitrification, whereas mountain-front soil background contributed comparatively less. These results indicate that the combined PMF-MixSIAR framework is effective for identifying mixed groundwater contamination in industrial parks.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-05-21
DOI
https://doi.org/10.1038/s41598-026-53795-8
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

Identifying sources of mixed groundwater contamination using PMF and stable isotopes: a case study of an industrial park

Hengxing Zhang, Fenggang Dai, Wenrui Fang, Lijie Wu et al.
Scientific Reports
Groundwater and Isotope Geochemistry
article

Identifying sources of mixed groundwater contamination using PMF and stable isotopes: a case study of an industrial park

Hengxing Zhang, Fenggang Dai, Wenrui Fang, Lijie Wu, Rui Hao Wang, Xiaohan Li
article en

Abstract

Groundwater contamination in industrial parks often involves overlapping inputs of nitrogen, chlorinated solvents, and dissolved salts, making source identification difficult. In this study, 45 shallow groundwater samples from a typical industrial park on the northern margin of the Hohhot Basin were investigated using hydrochemical analysis, PMF, and nitrate dual isotopes coupled with MixSIAR. The results showed pronounced salinity enrichment, high mineralization, elevated ammonium, and chlorinated hydrocarbon contamination. NH4+ exceeded the Chinese groundwater standard in 77.78% of samples, whereas vinyl chloride exceeded the WHO guideline value in all samples. Hydrochemical analysis indicated that groundwater chemistry still retained a water-rock interaction background, but had been significantly overprinted by anthropogenic inputs. PMF resolved six factors and showed that groundwater pollution was mainly controlled by high mineralization, high-ammonium wastewater input, and dissolved inorganic salt enrichment, whereas chlorinated-solvent industrial pollution had strong diagnostic significance. MixSIAR identified industrial wastewater as the largest nitrate contributor under both prior settings, followed by fertilizer-derived nitrification, whereas mountain-front soil background contributed comparatively less. These results indicate that the combined PMF-MixSIAR framework is effective for identifying mixed groundwater contamination in industrial parks.

Scientific Reports
Chinese Academy of Geological Sciences (CN), Institute of Hydroecology (CN), Hebei GEO University (CN)
Hebei Provincial Department of Bureau of Science and Technology
Openalex Percentile: Top 6%
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.