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Hexavalent chromium (Cr(VI)) is a recognized carcinogen that poses significant risks to public health. The Xianyang area in China is characterized by groundwater Cr(VI) pollution. In this study, a coupled framework was developed by incorporating hydrochemical method, geo-statistical analysis, correlation analysis, principal component analysis (PCA), positive matrix factorization (PMF) and the geo-detector model to identify pollution characteristics, pollution sources and associated driving factor of Cr(VI) in groundwater. The results indicate that groundwater is primarily characterized by HCO-Ca·Mg and HCO-Na types, while high Cr(VI) samples are mainly associated with SO·Cl-Na and HCO-Na types. Cr(VI) concentrations are higher in unconfined groundwater (average: 48.7 μg/L) than in confined groundwater (average: 40.9 μg/L). Multivariate statistical analysis indicates that Cr(VI) primarily originates from rock weathering and anthropogenic inputs. The geo-detector analysis further suggests that natural factors contribute 83.2% to the high Cr(VI) in unconfined groundwater, with pH (26%) and mean annual precipitation (22.7%) being the key environmental variables influencing the spatial variability of Cr(VI). The Cr(VI) pollution is influenced by dual-factor combinations, with the combinations between mean annual precipitation and pH (0.378), as well as Eh and pH (0.373), being the most significant factors affecting Cr(VI) distribution. The geo-detector analysis also reveals the contribution of traffic-related factors and industrial activities to Cr(VI) contamination. The study results improve the understanding of Cr(VI) pollution characteristics in the region and provide a reliable framework for identifying the sources and drivers of high-risk pollutants.
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http://dx.doi.org/10.1007/s10653-025-02731-2 | DOI Listing |
Integr Environ Assess Manag
September 2025
School of Public Health, Taipei Medical University, New Taipei City, 235040Taiwan.
Incorporating bioaccessibility into health risk assessments enhances the accuracy of exposure estimates for heavy metal (HM) pollution, supports targeted remediation, and informs public health and policy decisions, particularly for vulnerable populations. Because HM bioaccessibility depends on local soil and geographic characteristics, identifying its relationship with soil properties is crucial for assessing soil pollution potential. Although HM concentrations can be measured relatively easily, bioaccessibility requires complex laboratory procedures, limiting routine applications in regulatory contexts.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
September 2025
A.O. Kovalevsky Institute of Biology of the Southern Seas, Russian Academy of Sciences, Sevastopol, Russia.
The emergence of new types of pollutants and the increase of anthropogenic load on the environment provoked an increased interest of researchers to study the toxic effects of pollutants on living organisms. This study is devoted to investigate the physiological response of the Black Sea phytoplankton community to the effects of ZnO, CuO and TiO nanoparticles (NPs) of different concentrations by creating in vitro model microcosms. Trends of changes in the ratio between phytoplankton groups (cyanobacteria-picoeukaryotic algae-nano-microphytoplankton), species composition, growth rates and functional state of cells under the influence of the studied nanoparticles were revealed.
View Article and Find Full Text PDFJ Environ Manage
September 2025
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Science, Beijing, 100012, China.
The fragmented ecological environment in the mining ecosystem has a significant impact on the microbial community and affects ecosystem stability. Arbuscular mycorrhizal fungi (AMF) facilitate nutrient exchange and element cycling between soil and plants, which play a crucial role in the functionality and stability of soil ecosystems. However, the mechanism of ecological environment factors influencing AMF community assembly in mining areas is still unclear.
View Article and Find Full Text PDFAdv Sci (Weinh)
September 2025
Faculty of Engineering, University of Technology Sydney, P.O. Box 123, Broadway, Sydney, NSW, 2007, Australia.
Microalgae-bacteria symbiosis system is significant for sustainable and low-carbon wastewater treatment, with self-aggregation being key to its stable operation and effective pollutant removal. Cellular motility is the main driving force behind self-aggregation, crucial for symbiosis stability, but the characteristics and patterns involved still remain largely unexplored. Here, cellular movement dynamics into the microalgae-activated sludge model (ASM3) is incorporated, enabling synchronized simulation of metabolic activities and movement behaviors through physical and biochemical interactions in bioreactor systems.
View Article and Find Full Text PDFFront Microbiol
August 2025
State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China.
Introduction: Manganese-oxidizing bacteria (MOB) play a critical role in converting soluble Mn(II) to insoluble Mn(III/IV) oxides, which have been widely applied for environmental remediation, particularly in heavy metal pollution control. Therefore, the discovery of novel MOB strains is of great significance for advancing pollution mitigation and ecosystem restoration.
Methods: In this study, a manganese-oxidizing bacterial strain was isolated from Mn-contaminated soil near an electroplating factory using selective LB medium supplemented with 10 mmol/L manganese chloride (MnCl), and the Leucoberbelin Blue (LBB) assay was employed to screen and identify strains with strong Mn(II)-oxidation ability.