Environmental Geochemistry and Health最新文献

{"title":"Migration characteristics and simulation prediction of high ammonia nitrogen groundwater pollution in landfills in Southwest China.","authors":"Wen Zhang, Yujiao Tu, Mingtan Zhu, YUjie Zhao, Guo Liu, Yudi Chen","doi":"10.1007/s10653-025-02435-7","DOIUrl":"10.1007/s10653-025-02435-7","url":null,"abstract":"<p><p>A total of 31 groundwater samples were obtained and analyzed in this research endeavor from a conventional rural landfill situated in the red-layer region of northern Sichuan province, China. The concentrations of NH₄-N in groundwater varied from 0.025 to 17.3 mg/L, with 51.61% of samples surpassing the limit of 0.5 mg/L established by the World Health Organization for drinking water. The groundwater chemistry in the studied area was primarily affected by cation exchange, human activities, and the weathering of carbonate rocks, according to the Gibbs plot, ionic ratio analysis, and SI calculations. According to the calculated weighted water quality index (EWQI), the majority of the groundwater quality indicators in the study area were classified as poor or very poor, with NH₄-N concentration being the primary determinant. Numerical simulation results showed that the diffusion area of the NH₄-N pollution plume in the horizontal plane along the direction of groundwater flow was 5618 m², 10,142 m², and 11,695 m² for 1, 5, and 10 years of waste leachate leakage, respectively. In conclusion, the findings of this research offer a scientific basis for the remediation of groundwater attributable to the landfill situated in the red-layer region of northern Sichuan, China.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 5","pages":"156"},"PeriodicalIF":3.2,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143794551","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":"Risks of respiratory and circulatory system diseases induced by exposure to PM_2.5 in high humidity and low solar radiation environments: disease types, genes, and functions.","authors":"Xiaomeng Li, Liru Zhang, Zhengliang Zhang, Xuan Li, Jingli Qian, Jiawei Zhou, Hanxiong Che, Yan Han, Xin Qi, Fumo Yang, Yu Huang, Chao Peng, Yang Chen, Yan Xing, Shumin Zhang","doi":"10.1007/s10653-025-02465-1","DOIUrl":"10.1007/s10653-025-02465-1","url":null,"abstract":"<p><p>Epidemiological investigation has found that PM_2.5 from high humidity and low solar radiation environments (HHLR-PM_2.5) induces the highest premature mortality rates from respiratory and circulatory diseases in China. However, the disease types and pathogenic mechanisms of the respiratory and circulatory diseases induced by HHLR-PM_2.5 have not been completely revealed. In this study, we explore the risks of commonly existing diseases induced by HHLR-PM_2.5 in the respiratory and circulatory systems. For neoplasms, HHLR-PM_2.5 significantly induces malignant mesothelioma and arteriovenous hemangioma, the former through the CDKN1A and KIT genes, and the latter through IL6, blood vessel morphogenesis, and transforming growth factor beta binding. Patent ductus arteriosus-persisting type and chronic thromboembolic pulmonary hypertension are the most prominent cardiopulmonary diseases caused by HHLR-PM_2.5, with the key molecular target being ACTA2 for the former and CDH5 for the latter. For congenital, hereditary, and neonatal diseases and abnormalities, HHLR-PM_2.5 obviously contributes to bronchopulmonary dysplasia and congenital arteriovenous malformation, the former by targeting HMOX1, response to glucocorticoid, and heparin binding, and the latter by targeting IL6, blood vessel morphogenesis, and transforming growth factor beta binding. This study helps to clarify the risks of HHLR-PM_2.5 to the respiratory and circulatory systems, supporting and supplementing epidemiology data.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 5","pages":"155"},"PeriodicalIF":3.2,"publicationDate":"2025-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143794565","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":"Spatiotemporal evolution of environmental factors in representative tributaries of the Yellow River: insights from a decade of monitoring data.","authors":"Siyi Chen, Yanyun Luo, Yuhao Qiu, Donghua Wang, Ruizhong Gao, Guoqiang Wang, Keling Wang, Bing Sun, Tingxi Liu, Limin Duan","doi":"10.1007/s10653-025-02442-8","DOIUrl":"10.1007/s10653-025-02442-8","url":null,"abstract":"<p><p>The Yellow River, recognized as the cradle of Chinese civilization, has experienced significant environmental transformations due to rapid urbanization, which has substantially increased wastewater discharge into its basin, thereby altering its hydrological and water quality dynamics. Based on nearly a decade of monitoring data from over 20 sections within the Dahei River basin, a pivotal tributary at the upper reaches of the Yellow River, this study analyzed the variations in seven key water quality parameters (TN, TP, NH₃-N, COD, BOD₅, DO, and COD_Mn) across regions influenced by varying degrees of human activity and differing climatic conditions over wet, normal, and dry years. The results indicated that the most suitable model for fitting the 'hydrological frequency-water quality' relationship over time was linear. The R² values ranging from 0.82 to 0.99, suggesting strong reliability of the model. Generally, the water quality concentrations exhibited gradual changes over time. Spatially, the preferred model for the 'hydrological frequency-water quality' relationship was exponential, with a greater likelihood of sudden increases in water quality concentrations, supported by R² values ranging from 0.85 to 0.99, indicating dependable fitting. During various periods, the water quality in high-activity areas consistently exhibited poorer water quality compared to the low-activity areas. Indicators negatively impacting water quality were 1.66-63.25 times higher in high-activity areas than in low-activity areas. Water quality was generally poorer during wet years. For example, total nitrogen (TN) concentrations exceeded the Class V water standard (2 mg/L) in all river sections during wet years, with 81.05% of sections surpassing this threshold in normal years and 90.36% in dry years. These findings offer valuable insights for basin managers, highlighting the need for targeted interventions to mitigate water quality deterioration and enhance pollution control strategies.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 5","pages":"152"},"PeriodicalIF":3.2,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143788073","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":"The effects of population and regional economy on the levels and distribution of hexabromocyclododecanes in soils from Jiangsu, Southeast China.","authors":"Honghua Li, Ruiqiang Yang, Wenqiang Ren, Pu Wang, Hongtao Shang, Zhensong Zhang, Qinghua Zhang","doi":"10.1007/s10653-025-02451-7","DOIUrl":"10.1007/s10653-025-02451-7","url":null,"abstract":"<p><p>China used to be the major producer and consumer of hexabromocyclododecanes (HBCDs). Although HBCDs are restricted under the Stockholm Convention, emissions from the flame-retarded materials will continue for several decades and be potentially long-term sources of HBCDs leaching to the environment, and their adverse effects on human health and the environment will continue to raise concerns globally. The levels and distribution of HBCDs in soils of different land use types in the prosperous and densely populated Yangtze River Delta region, China were investigated. The total HBCD concentrations (ΣHBCDs) ranged between 0.17 and 6.28 ng g^-1 dw (dry weight) with a mean value of 1.20 ng g^-1 dw, which was at a low level worldwide. The three HBCD stereoisomers, α-HBCD, β-HBCD and γ-HBCD contributed 37%, 11% and 52% on average, respectively. The spatial distribution of HBCDs showed that northern and southern Jiangsu regions had higher HBCD levels than those in central region. HBCD contamination differed considerably among three type of lands, industrial land > urban and commercial land > agricultural and suburban land, suggesting that anthropogenic activities such as industrial production, urbanization and commercial activities etc. are the major sources of HBCDs, especially the influence of industries. No relationships were found between HBCD concentrations and per capita GDP (gross domestic product) in northern Jiangsu, while they were significantly positively correlated in southern Jiangsu. Mass inventory of HBCDs in the surface soils of Jiangsu was 38.6 tons. The estimated daily intakes (EDIs) of HBCDs for human via soil ingestion were 0.75, 1.68-3.77, 7.83-12.9 pg kg^-1 bw d^-1 for ages > 21, 6 to 21 years and under 6 years, respectively. The mean EDIs for children under 6 years old was approximately 13 times greater than that of adult.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 5","pages":"153"},"PeriodicalIF":3.2,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143788057","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":"Evaluation of Maifanitum quality from different regions using XRF and ICP-MS, along with health risk assessment of its decoction.","authors":"Liu Zhou, Zheng Liu, Xilong Qian, Ying Zhang, Yanqiong Pan, Liwen Zheng, Yulu Ma, Fang Fang, Weihua Zhang, Xiuxiu Wang, Jing Zhao, Shengjin Liu","doi":"10.1007/s10653-025-02463-3","DOIUrl":"10.1007/s10653-025-02463-3","url":null,"abstract":"<p><strong>Background: </strong>Maifanitum, a traditional mineral medicine first documented in the \"Bencao Tujing\" during China's Song Dynasty (960-1279 AD), is reputed for its multifaceted therapeutic properties, including detoxification, tissue regeneration, diuretic effects, and life-prolonging capabilities. Beyond medicinal applications, Maifanitum is also utilized for water purification and health benefits by enhancing the content of beneficial elements in water. Variations in the composition and content of Maifanitum from different origins, parts, and applications may contribute to differences in its medicinal efficacy.</p><p><strong>Methods: </strong>This study utilized X-ray Fluorescence (XRF) and Inductively Coupled Plasma Mass Spectrometry (ICP-MS) to assess the material composition and loss on ignition of Maifanitum, as well as the inorganic element content within its decoction. Based on the test results, we conducted an analysis and comparison of the material composition of Maifanitum from different origins and parts using chemometric methods such as Hierarchical Cluster Analysis (HCA), Principal Component Analysis (PCA), and Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA). Additionally, we assessed the quality of the Maifanitum decoction and its health risk implications by calculating ADI, THQ, HI, and CR values.</p><p><strong>Results: </strong>The primary chemical constituents of Maifanitum are SiO₂, Al₂O₃, K₂O, Na₂O, MnO, among others. Analyses HCA and PCA indicate a certain correlation between the chemical composition and the origin as well as the intended use of Maifanitum, with Al₂O₃ and MnO being the main differential components among different parts of Maifanitum. The aqueous extract of Maifanitum is predominantly composed of elements such as Na, Si, K, and Ca. An evaluation of the beneficial and harmful elements indicates that the quality of the Maifanitum decoction is significantly influenced by factors related to its origin and the part of Maifanitum. Notably, the \"non-rice\" portion of Maifanitum tends to receive higher scores, suggesting that a higher proportion of the \"non-rice\" portion may correlate with superior quality. Furthermore, the loss on ignition (LOI) of Maifanitum, ranging from 0.30 to 3.23%, implies variability in the water content among Maifanitum from different sources.</p><p><strong>Conclusion: </strong>This research provides significant scientific evidence for the quality control and safety assessment of Maifanitum, and there is no evidence to support that the water decoction of Maifanitum with health risk to humans.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 5","pages":"154"},"PeriodicalIF":3.2,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143788065","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":"Distribution and relationship of heavy metals, microbial communities and antibiotic resistance genes in the riparian soils of Daye Lake, China.","authors":"Liting Yang, Jing Li, Bingyao Liu, Han Xu, Xuanzi Guo, Jing Wang, Yao Zhang","doi":"10.1007/s10653-025-02468-y","DOIUrl":"10.1007/s10653-025-02468-y","url":null,"abstract":"<p><p>Heavy metals pose ecological and resistome risks to aquatic systems. To comprehensively assess the health status of aquatic ecosystems, it is necessary to quantify the ecological risks of heavy metals in riparian soils and their associations with microbial communities and antibiotic resistance genes (ARGs), yet related evidence was scarce. This study evaluated the potential ecological risk of heavy metal-contaminated riparian soils of Daye Lake, revealed the distribution of bacterial communities and ARGs by high-throughput sequencing techniques, and explored the association between heavy metals and bacterial communities and ARGs. The results showed that As, Cd, Cu, Pb, and Se were the primary polluting metals in the riparian soils of Daye Lake. Microbial community analysis presented that Proteobacteria (31.5%), Actinobacteria (30.3%), and Acidobacteria (14.1%) appeared to be the top three prevalent phylums, and seven pathogenic genera were identified based on VFDB. Correlation analysis showed that 17 bacterial communities among the top 50 bacterial genera had significant negative associations with heavy metals (r < -0.5; P < 0.05), and 10 bacterial communities had significant positive associations with heavy metals (r > 0.5; P < 0.05), indicating that heavy metals could exert co-selection forces on the microbial community. ARGs analysis presented that vancomycin, multidrug, and aminoglycoside resistance genes were the dominant ARGs. The co-occurrence of ARGs, virulence factor genes (VFGs), and mobile genetic elements (MGEs) (r > 0.8; P < 0.05) suggested high transmission risk of ARGs in environments. The significant correlations of heavy metals and ARGs (P < 0.05), co-occurrence of the resistance genes (MRGs) and ARGs (r > 0.8; P < 0.05), and significant associations between the geochemical enrichment of heavy metals and ARGs (P < 0.05) consistently indicated important impacts of heavy metals on environmental resistome risks. This research firstly revealed the associations between heavy metals and microbial communities and ARGs in riparian soils, which offers valuable insights into risk prevention and pollution control of heavy metals in the environment.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 5","pages":"151"},"PeriodicalIF":3.2,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143779509","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":"Hydrogeochemical process, multivariate statistical, geospatial and index approach for evaluation of groundwater quality for irrigation purposes at Visakhapatnam region, Southern India.","authors":"Eswara Venkata Ravi Kishore Vemana, Rama Mohan Kurakalva","doi":"10.1007/s10653-025-02457-1","DOIUrl":"10.1007/s10653-025-02457-1","url":null,"abstract":"<p><p>Groundwater quality is progressively declining due to over-exploitation and long-term use for irrigation needs. This study aims to assess the suitability of groundwater for irrigation use in an intense agricultural region in Visakhapatnam, southern India. Groundwater samples were collected during the pre-monsoon (PRM) (n = 75) and post-monsoon (POM) (n = 72) seasons. In-situ measurements of pH, electrical conductivity (EC), and total dissolved solids (TDS) were taken using a portable multimeter, while the major ions (Na⁺, K⁺, Ca²⁺, Mg²⁺, F^-, Cl^-, NO₃^-, SO₄^2-) were determined through ion chromatography. The Irrigation Water Quality Index (IWQI), integrated with Geographic Information Systems (GIS), revealed declining groundwater quality from south to north, with higher EC, sodium adsorption ratio (SAR), and chloride concentrations near coastal regions and thermal power plants. IWQI values ranged from 31 to 96 in the PRM and from 30 to 97 in the POM seasons. Approximately 27% of groundwater samples from the PRM and 22% from the POM were unsuitable for irrigation, particularly near industrial areas. Hydrochemical plots, including Wilcox, USSL, and Doneen classifications, highlighted salinity and permeability issues linked to local industrial pollution, affecting groundwater. Multivariate statistical analysis, including PCA, Pearson Correlation, and HCA, revealed that natural and human activities, such as seawater intrusion and agricultural runoff, significantly affect groundwater quality. Salinity, driven by sodium and chloride, persists in both seasons, while nitrate contamination from fertilizers is more prominent during the monsoon. This study highlights the necessity for continuous monitoring and targeted treatment measures for sustainable groundwater use for irrigational practices.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 5","pages":"150"},"PeriodicalIF":3.2,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143771554","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":"Co-precipitation enrichment of Pb²⁺ in water by ball-milling-enhanced diatomite: synergistic effects of crystal structure and surface activity.","authors":"Fei Jiang, Licheng Ji, Zhongpu Yu, Chengcheng Wei, Feiyue Li","doi":"10.1007/s10653-025-02454-4","DOIUrl":"10.1007/s10653-025-02454-4","url":null,"abstract":"<p><p>Pb²⁺ was a typical heavy metal pollutant in industrial pollution. The treatment method of adsorbing Pb²⁺ in the wastewater by clay minerals was considered to be a quick and efficient method. Using diatomite (DE) as raw material, ball milled diatomaceous (MDE) was obtained through ball milling modification, and its structure and surface properties were characterized. Compared with DE, the specific surface area and CEC of MDE were increased by 18.88 times and 12.45 times respectively. The significant improvement in surface characteristics, crystal and pore structure and increase in the number of functional groups are important reasons for the significant improvement in MDE adsorption performance. Through batch adsorption experiments, the adsorption kinetics of Pb²⁺ by MDE was investigated using DE as a control. The pseudo-second-order kinetic model better fits the adsorption process of Pb²⁺ by MDE, indicating that the adsorption of Pb²⁺ by MDE was a complex mechanism of synergistic effects of physical adsorption and chemical adsorption. Intra-particle diffusion was one of the steps in the adsorption of Pb²⁺ by MDE, and it was mainly in the third stage. Both the Langmuir and Freundlich models can fit the adsorption isotherm well, indicating that the adsorption process of Pb²⁺ by MDE was a relatively complex multi-layer adsorption mechanism. The Temkin model infers that there were strong electrostatic interactions and ion exchange interactions during the adsorption of Pb²⁺ by MDE. DFT theoretical calculations confirmed that MDE adsorbs Pb²⁺ through coordination bonding, functional group complexation and electrostatic interaction. MDE had good surface properties and pore structure, and had a high adsorption capacity, and had good potential for removing Pb²⁺ from water.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 5","pages":"148"},"PeriodicalIF":3.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143751677","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":"Association between multiple metals mixture and diabetic retinopathy in older adults with diabetes mellitus: a cross-sectional study in China.","authors":"Shuren Ding, Yirong Xie, Feng Wang, Jieyi Liu, Hongya Li, Heng Su, Zhiqiang Zhao, Qing Wei, Shurong Pi, Fubin Chen, Qian Gu, Baixiang Xiao, Yun He","doi":"10.1007/s10653-025-02462-4","DOIUrl":"10.1007/s10653-025-02462-4","url":null,"abstract":"<p><p>Previous studies have linked single metal with diabetic retinopathy (DR), but information about the combined effects of multiple metals mixture was scarce. Thus, we performed this cross-sectional study to investigate the single and joint associations between multiple metals mixture and DR risk among elderly diabetic population in China. A total of 1127 elderly adults (aged ≥ 60) with diabetes mellitus from a large-scale DR screening program in southern China included. Metals (beryllium, magnesium, chromium, manganese, iron, nickel, copper, arsenic, thallium and lead) in serum were quantified by inductively coupled plasma mass spectrometer. DR was diagnosed according to the consensus of the global DR project group. The relationships between metals and DR risks were estimated by logistic regression, Bayesian kernel machine regression (BKMR) and weighted quantile sum (WQS) regression. Of 1127 older adults with diabetes mellitus, there were 324 DR and 803 non-DR participants. Logistic regression models found serum magnesium and iron were negatively related to DR risks. Both BKMR model and WQS regression revealed that higher serum levels of multiple metals mixture were associated with lower risks of DR, with Be contributing the most to the overall effect. Additionally, in subgroup analyses, the interaction between beryllium and blood pressure on DR risk was also observed (P_interaction = 0.008). Overall, these results provided new evidence of direct association between multiple metals mixture and DR risk among elderly diabetic population in China.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 5","pages":"149"},"PeriodicalIF":3.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143763226","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":"Comprehensive elemental and carbon profiling of Punjab's soils: distribution patterns, pollution assessment, and source attribution.","authors":"Mahesh Tiwari, Tejas Rathod, Rahul Bhangare, Sanjay Kumar Sahu, Vandana Pulhani","doi":"10.1007/s10653-025-02460-6","DOIUrl":"10.1007/s10653-025-02460-6","url":null,"abstract":"<p><p>Soil analysis is a critical tool for optimizing crop production, managing soil nutrients, preventing environmental degradation, and making informed decisions about land use and agricultural practices. This study focuses on optimizing the energy dispersive X-ray fluorescence (EDXRF) parameters for the analysis of 22 elements in soil samples collected from Punjab, India. The reported elements in the soil were classified into three categories based on their abundance: major (Al, Fe, K, Mg), minor (Ba, Mn, Zr, Rb, Ce, Sr, Cr, and V), and trace (Zn, Ni, Pb, Cu, As, Sc, Co, Br, Cs, U). Their occurrence in the soil samples is discussed. To assess the level of soil pollution with toxic elements and the anthropogenic input, the study calculated and discussed various indices, including the contamination factor, index of geoaccumulation, and pollution load index. The results indicate that As and Pb are the most contaminating elements in the soil based on the calculated pollution indices. The average pollution load index (PLI) value for soil samples collected from Punjab is 1.14, indicating slight pollution relative to the Earth's crust. Principal component analysis (PCA) of the data indicated both natural and anthropogenic sources of elements in the soil from the study area.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 5","pages":"145"},"PeriodicalIF":3.2,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11954847/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143742614","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}