Kai Li, Guanghui Guo, Shiqi Chen, Mei Lei, Long Zhao, Tienan Ju, Jinlong Zhang
{"title":"Advancing source apportionment of soil potentially toxic elements using a hybrid model: a case study in urban parks, Beijing, China.","authors":"Kai Li, Guanghui Guo, Shiqi Chen, Mei Lei, Long Zhao, Tienan Ju, Jinlong Zhang","doi":"10.1007/s10653-024-02273-z","DOIUrl":"10.1007/s10653-024-02273-z","url":null,"abstract":"<p><p>Identifying the source-specific health risks of potentially toxic elements (PTE) in urban park soils is essential for human health protection. However, previous studies have mostly focused on the deterministic source-specific health risks, ignoring the health risk assessment from a probabilistic perspective. To fill this gap, we developed a hybrid model that incorporated machine learning (ML) interpretability into positive matrix factorization (PMF) and probability health risk assessment (PHRA) based on the Monte Carlo simulation. The results indicated that concentrations of soil PTEs except for Mn and Sb were significantly higher than their corresponding background values. Random forest (RF) was regarded as the best ML model to identify key drivers for As, Cd, Cr, Cu, Ni, Pb, and Zn, with R<sup>2</sup> > 0.60, but was less effective for other soil PTEs (R<sup>2</sup> < 0.49). Specifically, the contributions of the four potential pollution sources were mixed sources, traffic emission, fuel combustion, and building materials, with contribution rate of 24.88%, 30.56%, 28.99%, and 15.56%, respectively. Fuel combustion contributed the most to non-carcinogenic for children (39.45%), male (43.84%), and female (43.76%), and the non-carcinogenic risk could be considered negligible for human. However, building materials was the major contributor to carcinogenic risk for children (36.1%), male (44.9%), and female (43.2%). The integration of the RF model with PMF and PHRA improved the accuracy of the results by identifying and quantifying the specific sources of each soil PTE using the relative importance analysis from the RF model. The results of this study assisted in providing efficient strategies for risk management and control of soil PTEs in Beijing parks.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"46 12","pages":"501"},"PeriodicalIF":3.2,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142603685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lalita Zakharikhina, Anna Paltseva, Polina Lesnikova, Elena Rogozhina, Vadim Kerimzade
{"title":"Application of a new multi-elevation method for determining the elemental composition of atmospheric precipitation in coastal marine zones.","authors":"Lalita Zakharikhina, Anna Paltseva, Polina Lesnikova, Elena Rogozhina, Vadim Kerimzade","doi":"10.1007/s10653-024-02265-z","DOIUrl":"10.1007/s10653-024-02265-z","url":null,"abstract":"<p><p>Assessing local air quality using traditional methods, such as analyzing precipitation composition, is often difficult due to the complex data, which is influenced by a variety of chemical elements from distant atmospheric sources and cyclone formation areas. This study presents a new approach to overcome these challenges: a multi-elevation sampling method that improves the accuracy of local air quality measurements. By collecting precipitation samples at different ground elevations, the technique takes advantage of the natural process where raindrops and snowflakes collect more elements as they fall through the air. This method helps to distinguish local air quality from background levels found at higher, non-industrial elevations. The primary goal was to isolate and identify the elemental fingerprints of marine influences, while excluding contributions from cyclones. In February 2023, 51 meltwater samples were collected from 17 observation points in the city of Sochi under southeast wind conditions. These samples revealed a spectrum of chemical elements, predominantly of marine origin (Mg > Na > Sr > Ca > K > Ce > Mn). The results showed significant differences in elemental concentrations between upland and coastal areas. The Geochemical Indicator of Marine Origin (GIM) ranged from 22 to 3235, confirming the strong influence of marine aerosols in the area. These findings demonstrate the effectiveness of the multi-elevation sampling method in providing robust environmental assessments. This approach, combined with the GIM index, offers valuable insights for improving environmental policies and public health, particularly in coastal regions affected by marine aerosols.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"46 12","pages":"504"},"PeriodicalIF":3.2,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142603687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiaoying Li, Tong Li, Fushun Wang, Xueping Chen, Yong Qin, Yongsheng Chu, Ming Yang, Zi-Feng Zhang, Jing Ma
{"title":"Distribution and sources of polycyclic aromatic hydrocarbons in cascade reservoir sediments: influence of anthropogenic activities and reservoir hydrology.","authors":"Xiaoying Li, Tong Li, Fushun Wang, Xueping Chen, Yong Qin, Yongsheng Chu, Ming Yang, Zi-Feng Zhang, Jing Ma","doi":"10.1007/s10653-024-02256-0","DOIUrl":"10.1007/s10653-024-02256-0","url":null,"abstract":"<p><p>The construction of dams has caused disruptions to river connectivity, leading to alterations in the deposition of hydrophobic organic contaminants in reservoir sediments. Further investigation is warranted to explore the impact of cascade reservoirs with differing hydrological characteristics on polycyclic aromatic hydrocarbons (PAHs) distribution in sediment. This study examines the presence of 30 PAHs in the sediments collected from six cascade reservoirs situated in the Wujiang River basin during January and July 2017. The results showed that Σ30 PAHs ranged from 455-3000 ng/g dw (mean 1030 ng/g dw). Anthropogenic activities and reservoir hydrology determined the distribution trend of PAHs in sediments, with an overall increase from upstream to midstream and then a decrease downstream. The PAH levels were highly linked to the secondary industry (P < 0.05). This was further supported by the relationship between the PAH emissions from coal combustion and traffic sources analyzed by the positive matrix factorization model and economic parameters in the wet season (P < 0.01). At the same time, reservoir age (RA) showed a positive correlation with PAH concentrations (P < 0.05), while hydraulic retention time (HRT) exhibited a negative correlation with PAH levels (P = 0.03). The relationship between total organic carbon (TOC) and PAHs in stream sediments worldwide was nonlinear (P < 0.01), with PAH concentrations initially rising and then falling as TOC levels increased. Concerns regarding carcinogenic risk were raised due to contributions from coal and vehicular sources, with the risk increasing with RA.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"46 12","pages":"487"},"PeriodicalIF":3.2,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142603746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Environmental factors influencing the development and spread of resistance in erythromycin-resistant streptococcus pneumoniae.","authors":"Zhi-Hua Sun, Yi-Chang Zhao, Jia-Kai Li, Huai-Yuan Liu, Wei Cao, Feng Yu, Bi-Kui Zhang, Miao Yan","doi":"10.1007/s10653-024-02264-0","DOIUrl":"10.1007/s10653-024-02264-0","url":null,"abstract":"<p><p>Bacterial drug resistance is becoming increasingly serious, this study aims to investigate the relationship between the resistance rate of erythromycin-resistant Streptococcus pneumoniae (SP) and reasons for the epidemic under complex geographical and climatic factors in China. Data spanning from 2014 to 2021, including drug resistance rates, isolate rates, meteorological variables, and demographic statistics, were collected from the China Antimicrobial Resistance Monitoring System, the China Statistical Yearbook and China Meteorological Website. Our analysis involved nonparametric tests and the construction of multifaceted regression models for rigorous multivariate analysis. Single-factor analysis revealed significant differences in the resistance rate and isolate rate of erythromycin-resistant SP across different regions characterized by Hu Huanyong lines or different climate types. Multivariate regression analysis indicated positive correlations between the drug resistance rate and temperature, Subtropical climate, Gross Domestic Product (GDP), Hu Huanyong line, and the highest temperature in the past period (Tm); the isolate rate showed a positive correlation with regional GDP and a negative correlation with monsoon climate. The model developed in this study provides valuable insights into the resistance rate and potential relationships of erythromycin-resistant SP under complex meteorological conditions in China.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"46 12","pages":"488"},"PeriodicalIF":3.2,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142603769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhiliang Wu, Qingye Hou, Zhongfang Yang, Tao Yu, Dapeng Li, Kun Lin, Xuezhen Li, Bo Li, Changchen Huang, Jiaxin Wang
{"title":"Driving factors of molybdenum (Mo) bioconcentration in maize in the Longitudinal Range-Gorge Region of Southwestern China.","authors":"Zhiliang Wu, Qingye Hou, Zhongfang Yang, Tao Yu, Dapeng Li, Kun Lin, Xuezhen Li, Bo Li, Changchen Huang, Jiaxin Wang","doi":"10.1007/s10653-024-02278-8","DOIUrl":"10.1007/s10653-024-02278-8","url":null,"abstract":"<p><p>Molybdenum (Mo) plays an important role in maintaining plant growth and human health. Assessment studies on the driving factors of Mo migration in soil-crop systems are crucial for ensuring optimal agricultural and human health. The Mo bioconcentration factor (BCF-Mo) is a useful tool for evaluating Mo bioavailability in soil-crop systems. However, the influence pathways and degrees of different environmental factors on BCF-Mo remain poorly understood. In this context, 109 rhizosphere and maize grain samples were collected from the Longitudinal Range-Gorge Region (LRGR) in Linshui County, Sichuan Province, China, and analyzed for the contents of Mo and other soil physiochemical parameters to explore the spatial patterns of BCF-Mo and its driving factors. Areas with the highest BCF-Mo values were mainly observed in the southern and northern parts of the Huaying and Tongluo mountains. The influence degrees of the selected environmental factors in this study followed the order of normalized difference vegetation index (NDVI) < elevation (EL) < mean annual humidity (MAH) < slope (SL) < mean annual temperature (MAT). The MAH and NDVI directly influenced the BCF-Mo values. The EL and MAT mainly indirectly affected the BCF-Mo values by influencing the rhizosphere organic matter (OM) contents, while the SL mainly affected the BCF-Mo values by influencing the rhizosphere pH. Therefore, OM and pH of the rhizosphere were the main influencing factors of BCF-Mo in the study area. In summary, the selected environmental factors mainly exhibited indirect influences on BCF-Mo by directly affecting the physicochemical properties of the rhizosphere.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"46 12","pages":"499"},"PeriodicalIF":3.2,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142603756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aney Parven, Islam Md Meftaul, Kadiyala Venkateswarlu, Mallavarapu Megharaj
{"title":"Pre-emergence herbicides used in urban and agricultural settings: dissipation and ecological implications.","authors":"Aney Parven, Islam Md Meftaul, Kadiyala Venkateswarlu, Mallavarapu Megharaj","doi":"10.1007/s10653-024-02269-9","DOIUrl":"10.1007/s10653-024-02269-9","url":null,"abstract":"<p><p>Herbicides are widely recognized as the most cost-effective solution for weed control, but their extensive use in both urban and agricultural settings raise serious concerns about nontarget effects. We assessed the possible hazards associated with pre-emergence herbicides such as dimethenamid-P, metazachlor, and pyroxasulfone, which are frequently applied in both urban and agricultural soils. The dissipation rate constant values (k day<sup>-1</sup>: 0.010-0.024) were positively linked to total organic carbon (TOC), silt, clay, soil pH, and Al and Fe oxides, but negatively correlated with sand content. In contrast, half-life values (DT<sub>50</sub>: 29-69 days) of the herbicides showed negative correlations with TOC, clay, silt, soil pH, and Fe and Al oxides, while sand content showed a positive impact. The selected herbicides showed minimal impact on soil dehydrogenase activity (DHA). Mostly, soils with higher organic matter (OM) content exhibited increased DHA levels, highlighting the role of OM in influencing this soil enzyme across different soils. Assessment of environmental indicators like groundwater ubiquity score (GUS:1.69-6.30) and leachability index (LIX: 0.23-0.97) suggested that the herbicides might reach groundwater, posing potential risks to nontarget biota and food safety. Human non-cancer risk evaluation, in terms of hazard quotient (HQ < 1) and hazard index (HI < 1), suggests minimal or no risks from exposure to soil containing herbicide residues at 50% of the initial concentrations. Our data thus help the stakeholders and regulatory agencies while applying these pre-emergence herbicides in soils and safeguarding human and environmental health.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"46 12","pages":"493"},"PeriodicalIF":3.2,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11543765/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142603859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Md Shafiujjaman, Shankar Chandra Mandal, Mohammad Moniruzzaman, Md Habibullah-Al-Mamun, Md Aftab Ali Shaikh, Kozo Watanabe, Anwar Hossain
{"title":"Correction to: Environmental and human health risk of potentially toxic metals in freshwater and brackish water Nile tilapia (Oreochromis niloticus) aquaculture.","authors":"Md Shafiujjaman, Shankar Chandra Mandal, Mohammad Moniruzzaman, Md Habibullah-Al-Mamun, Md Aftab Ali Shaikh, Kozo Watanabe, Anwar Hossain","doi":"10.1007/s10653-024-02285-9","DOIUrl":"10.1007/s10653-024-02285-9","url":null,"abstract":"","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"46 11","pages":"484"},"PeriodicalIF":3.2,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142582560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correction: Ecological, environmental risks and sources of arsenic and other elements in soils of Tuotuo River region, Qinghai-Tibet Plateau.","authors":"Cang Gong, Lang Wen, Haichuan Lu, Shunxiang Wang, Jiufen Liu, Xiang Xia, Zihong Liao, Duoji Wangzha, Wangdui Zhaxi, Jiancai Tudan, Changhai Tan","doi":"10.1007/s10653-024-02284-w","DOIUrl":"10.1007/s10653-024-02284-w","url":null,"abstract":"","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"46 11","pages":"483"},"PeriodicalIF":3.2,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11531419/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142563999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xuan Li, Guohua Liang, Lei Wang, Yuesuo Yang, Yuanyin Li, Zhongguo Li, Bin He, Guoli Wang
{"title":"Identifying the spatial pattern and driving factors of nitrate in groundwater using a novel framework of interpretable stacking ensemble learning.","authors":"Xuan Li, Guohua Liang, Lei Wang, Yuesuo Yang, Yuanyin Li, Zhongguo Li, Bin He, Guoli Wang","doi":"10.1007/s10653-024-02201-1","DOIUrl":"10.1007/s10653-024-02201-1","url":null,"abstract":"<p><p>Groundwater nitrate contamination poses a potential threat to human health and environmental safety globally. This study proposes an interpretable stacking ensemble learning (SEL) framework for enhancing and interpreting groundwater nitrate spatial predictions by integrating the two-level heterogeneous SEL model and SHapley Additive exPlanations (SHAP). In the SEL model, five commonly used machine learning models were utilized as base models (gradient boosting decision tree, extreme gradient boosting, random forest, extremely randomized trees, and k-nearest neighbor), whose outputs were taken as input data for the meta-model. When applied to the agricultural intensive area, the Eden Valley in the UK, the SEL model outperformed the individual models in predictive performance and generalization ability. It reveals a mean groundwater nitrate level of 2.22 mg/L-N, with 2.46% of sandstone aquifers exceeding the drinking standard of 11.3 mg/L-N. Alarmingly, 8.74% of areas with high groundwater nitrate remain outside the designated nitrate vulnerable zones. Moreover, SHAP identified that transmissivity, baseflow index, hydraulic conductivity, the percentage of arable land, and the C:N ratio in the soil were the top five key driving factors of groundwater nitrate. With nitrate threatening groundwater globally, this study presents a high-accuracy, interpretable, and flexible modeling framework that enhances our understanding of the mechanisms behind groundwater nitrate contamination. It implies that the interpretable SEL framework has great promise for providing valuable evidence for environmental management, water resource protection, and sustainable development, particularly in the data-scarce area.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"46 11","pages":"482"},"PeriodicalIF":3.2,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11522174/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142544455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
David King, Michael Watts, Elliott Hamilton, Robert Mortimer, Michael Coffey, Odipo Osano, Marcello Di Bonito
{"title":"Mercury speciation in environmental samples associated with artisanal small-scale gold mines using a novel solid-phase extraction approach to sample collection and preservation.","authors":"David King, Michael Watts, Elliott Hamilton, Robert Mortimer, Michael Coffey, Odipo Osano, Marcello Di Bonito","doi":"10.1007/s10653-024-02187-w","DOIUrl":"10.1007/s10653-024-02187-w","url":null,"abstract":"<p><p>In artisanal small-scale gold mines (ASGM), mercury (Hg) is known to pollute nearby river waters and sediments where it can be methylated to the highly bioavailable methylmercury (MeHg). The assessment of Hg speciation in water samples has been challenging for many years, with recommended procedures often not adequately allowing for analysis of samples in a suitable timeframe. Using a novel solid-phase extraction (SPE) method for sampling and preservation of Hg species, representative speciation data can be safely and easily collected and retained for up to 4-weeks (MeHg = 115 ± 8% refrigerated and 109 ± 13% unrefrigerated storage; Hg<sup>2+</sup> = 100 ± 14% refrigerated and 94 ± 12% unrefrigerated storage). Concentrations of MeHg in environmental water samples and drinking water were below detection limit across two ASGM sites in western Kenya and concentrations of Hg<sup>2+</sup> were below drinking water guidelines; however, drinking water sources contribute 20-30% of the tolerable weekly intake of Hg, indicating a need to minimise exposure of Hg from dietary sources to prevent Hg poisoning. Sediments from receiving rivers at ASGM sites showed total Hg concentrations above guideline limits (0.08-1.84 mg kg<sup>-1</sup> total Hg) along the length of the river; however, MeHg concentrations fluctuated dependent on the stagnation of the river due to damns and ponds (5.9 ± 14.3 µg kg<sup>-1</sup> MeHg). The findings show that SPE can be used as a robust sample collection and preservation approach for Hg speciation, which can better inform mitigation measures, understand ecological and human health implications, and improve environmental monitoring.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"46 11","pages":"481"},"PeriodicalIF":3.2,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11519088/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142521417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}