Environmental Geochemistry and Health最新文献

{"title":"Impact of photovoltaics on soil and water by metal(loid)s including technology critical elements: preliminary study.","authors":"George Yandem, Katarzyna Grygoyć, Magdalena Jabłońska-Czapla","doi":"10.1007/s10653-025-02686-4","DOIUrl":"10.1007/s10653-025-02686-4","url":null,"abstract":"<p><p>The increasing adoption of photovoltaic farms is driven by the growing demand for clean, renewable energy. As advancements in solar technology continue and costs decrease, large-scale solar farms are becoming essential for reducing carbon emissions and enhancing energy security. While PV farms offer a sustainable energy solution, they also pose environmental risks. During their operational lifetime, PV panels can be damaged, potentially releasing hazardous materials into the environment. Additionally, stormwater runoff from solar installations may carry pollutants into soil and water sources. Mitigating these risks is crucial to ensuring that solar energy remains both sustainable and environmentally responsible. This work aims to evaluate PV panels' environmental impact, especially on the soil in one of the oldest PV installations in Poland, comparing it with other sources of pollution in the region, such as mining. Therefore, soil and water samples underwent chemical analysis, statistical analysis, pollution indices assessment, and geospatial analysis to determine potential pollution sources for the observed elemental chemical matrix. Also, the chemical composition of PV material was analyzed. The results indicate that In and Sb are emerging pollutants at moderate levels, potentially originating from long-term use of PV installations. In contrast, elements such as Cd, Cr, Pb, and Zn, which come from mining and smelting activities, present significantly higher environmental risks. This study suggests conducting further similar research across various geological backgrounds to draw broader conclusions. Besides, it is vital to develop experiments that assess the impact of PV panels as hazardous waste materials on soil and water.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 9","pages":"389"},"PeriodicalIF":3.8,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12356717/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144854932","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}

{"title":"Bioengineering of iron oxide nanoparticles using leaves extract of Dalbergia sissoo for the removal of diclofenac and tetracycline from water: optimization by BBD approach.","authors":"Himani Sabherwal, Ravi Kumar, Suresh Ghotekar, Chandra Mohan, Navish Kataria","doi":"10.1007/s10653-025-02674-8","DOIUrl":"10.1007/s10653-025-02674-8","url":null,"abstract":"<p><p>Pharmaceutical compounds like tetracycline and diclofenac are causing significant environmental pollution, posing health risks and necessitating effective techniques for their elimination from water-based ecosystems. This study explores the potential of green-synthesized iron oxide nanoparticles (Fe₂O₃) in the adsorption of tetracycline (TC) and diclofenac (DF) and optimized the process using the Box-Behnken Design (BBD) approach. The average particle size of the synthesized Fe₂O₃ was found 15.71 nm. The BET results revealed that surface area, pore volume, and average pore diameter was 13.16 m²/g, 3.18 cm³/g, and 21.48 nm, respectively. At optimal conditions, TC and DF removal were 88.2-90.51%, respectively. with desirability function one. The Langmuir maximum adsorption capacity was 56.68 mg/g for TC and 62.36 mg/g for DF. The primary rate-limiting step is proposed to be chemisorption. The thermodynamics results confirm adsorption onto Fe₂O₃ that occurs spontaneously, endothermically, and randomly. The green Fe₂O₃ nanoparticles efficiently absorbed TC and DF from aqueous solutions upto five cycles, with efficiency declined from 87.9 to 67.23% and 90.01 to 65.23%, respectively, which showed economic applicability of materials. This study illustrates the efficacy of green-synthesized Fe₂O₃ nanoparticles in eliminating pharmaceutical pollutants and their significance in promoting sustainable water treatment technologies in accordance with circular economy and SDG objectives.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 9","pages":"387"},"PeriodicalIF":3.8,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144854930","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 distribution of polycyclic aromatic hydrocarbons pollution and the characteristics of microbial diversity in the soil of coal mining areas.","authors":"Mengyun Zhang, Xing Chen, Yixing Zhu, Jie Hu, Min Hu, Irfan Muhammad, Liugen Zheng","doi":"10.1007/s10653-025-02676-6","DOIUrl":"10.1007/s10653-025-02676-6","url":null,"abstract":"<p><p>The distribution of polycyclic aromatic hydrocarbons (PAHs) in soil and their impact on soil bacterial communities have garnered significant attention. In this study, we selected the representative Huainan Panji coal mining area as our research site to analyze the diversity of bacterial communities in four distinct zones within the mining area, as well as the relationship between environmental factors and PAHs contamination. A total of 16 PAHs were found to be enriched in the soil, with notably higher concentrations in the coal gangue hill area compared to other regions. Proteobacteria, Acidobacteriota, Actinobacteriota, Bacteroidota, and Chloroflexi emerged as the dominant bacterial communities across all soil samples. As the concentration of PAHs increased, the relative abundance of Proteobacteria and Acidobacteriota also rose, while the relative abundance of Nitrospirota exhibited a negative correlation with PAH concentrations. Furthermore, the impacts of PAHs, total organic carbon (TOC), total nitrogen (TN), and total sulfur (TS) on the dominant bacterial communities differed among different soil zones within the mining area. The findings of this study provide insights into the contamination characteristics of PAHs in mining area soils and the associated bacterial communities, serving as a valuable basis for further research in this field.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 9","pages":"386"},"PeriodicalIF":3.8,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144854936","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":"Post-pandemic assessment: A 3-year study of heavy metal risks in Mizoram's paddy agroecosystem.","authors":"Hmingremhlua Sailo, Lalremliani, Laldinliana Khiangte, Malsawmthanga, Laldinfeli Ralte, Remruattluanga Hnamte, Lalfakzuala Ralte, Y Tunginba Singh","doi":"10.1007/s10653-025-02640-4","DOIUrl":"10.1007/s10653-025-02640-4","url":null,"abstract":"<p><p>This study examines the impact of easing COVID-19 restrictions on heavy metal concentrations in paddy soil and rice in Mizoram, India (2021-2023). Concentrations of copper, manganese, zinc, iron, nickel, lead, arsenic, and cadmium were measured using ICP-MS. The Bioaccumulation Factor, Pollution Index, and Health Risk Index were calculated, which assessed metal uptake, pollution level, and health hazards, respectively. Post-pandemic, average heavy metal levels in soil increased significantly, likely due to resumed anthropogenic activities. Notably, nickel reached 0.94 mg/kg (N. Vanlaiphai), lead 0.93 mg/kg (Champhai), and arsenic 1.47 mg/kg (Kolasib), exceeded the permissible limits. Corresponding increases in average concentration of heavy metal in rice were also recorded, with lead up to 0.18 mg/kg (N. Vanlaiphai) and arsenic between 0.04 and 0.05 mg/kg in all the sites, again surpassing the permissible limits. Spearman correlation analysis revealed a strong soil-to-rice correlation for cadmium (0.77) and moderate correlations (0.5-0.6) for copper, manganese, zinc, iron, and lead, indicating that elevated soil levels directly influence rice contamination. However, Bioaccumulation Factor values remained < 1, suggesting that local rice cultivars restrict metal uptake. Pollution Index values > 1 indicated contamination from arsenic (1.3) and lead (1.0) in both soil and rice, identifying them as key pollutants. Health Risk Index values > 1 for arsenic further imply potential health risks from rice consumption, particularly when 500 g of rice is consumed per day. These findings highlight rising environmental and health concerns linked to heavy metal accumulation in the post-pandemic period. We stress the need for targeted mitigation strategies, including phytoremediation, regulation of pollutant inputs, and regular environmental monitoring.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 9","pages":"384"},"PeriodicalIF":3.8,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144854934","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":"Evaluating the quality of groundwater from aquifers in São Paulo State, Brazil: scenarios revealed by hydrochemical, stable isotopes, and radionuclides data.","authors":"Marco Petitta, Daniel Marcos Bonotto","doi":"10.1007/s10653-025-02708-1","DOIUrl":"10.1007/s10653-025-02708-1","url":null,"abstract":"<p><p>Historically, in the past years, the Pardo River watershed in the Brazilian State of São Paulo has provided enough water resources for people living there. However, with an increasing population, growing urbanization, industrialization, and higher living standards, groundwater became extensively exploited from bores that reached various aquifer systems occurring in that hydrographic basin. Hydrogeochemical surveys involve the acquisition of mandatory parameters to evaluate the water quality and to understand some processes taking place in the aquifers. Despite such importance, they are incipient at the Pardo River watershed, in which a previous investigation pointed out the diffuse pollution of lead and motivated the development of this study. Eleven deep tubular wells drilled there have been selected from the Information System of Groundwater (SIAGAS) sustained by the Brazilian Geological Survey (CPRM), which exploits groundwater from different aquifer systems of the Paraná Sedimentary Basin (PSB). A large hydrogeochemical dataset was obtained for the groundwater sampled, involving measurements of temperature, DO-dissolved oxygen, pH, Eh-redox potential, EC-electrical conductivity, SiO₂, Na⁺, K⁺, Ca²⁺, Mg²⁺, alkalinity, Cl^-, NO₃^-, SO₄^2-, F^-, PO₄^3-, Br^-, NO₂^-, N-NH₃, Fe, Sr, Ni, Cu, Zn, Mn, Cr, Ba, Pb, stable isotopes in water (H-2 and O-18), stable isotopes in dissolved inorganic carbon (C-13 and O-18), radioactive cosmogenic C-14, radioactive potassium (K-40), and radionuclides occurring in the decay series of uranium (U-238, U-234, Ra-226, Rn-222, Pb-210, and Po-210) and thorium (Ra-228 and Ra-224). Several analytical methods were utilized for data acquisition, for instance, potentiometry, colorimetry, Total Reflection X-Ray Fluorescence Spectroscopy (TXRF), Mass Spectrometry, Accelerator Mass Spectrometry (AMS), gamma-ray spectrometry, and alpha-spectrometry. The results obtained have been interpreted taking into account the lithologies of the aquifers and highlighting parameters relevant to assure the water quality for human consumption as those waters are chiefly utilized for such purposes.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 9","pages":"385"},"PeriodicalIF":3.8,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144854931","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":"Synthesis of hydroxyapatite-iron oxides nanocomposite for fluoride adsorption in groundwater samples.","authors":"V N Scheverin, L N Schmidt, E M Diaz, M F Horst, V L Lassalle","doi":"10.1007/s10653-025-02702-7","DOIUrl":"10.1007/s10653-025-02702-7","url":null,"abstract":"<p><p>Fluoride contamination in groundwater is a major environmental concern due to its serious health implications. Among various remediation strategies, hydroxyapatite-based adsorbents are promising due to their high affinity for fluoride ions. This study evaluates the performance of two hydroxyapatite-iron oxide nanocomposites, Hap-IONp-1 and Hap-IONp-2, synthesized via a hydrothermal method with varying iron oxide content. The materials were characterized by X-ray diffraction, scanning electron microscopy, and Fourier-transform infrared spectroscopy. Kinetic and equilibrium adsorption experiments were conducted in model solutions, with the pseudo-second-order and Freundlich models providing the best fit. The influence of pH on fluoride removal was also assessed. Further evaluation was performed using three groundwater samples from different regions of Argentina, all exceeding the World Health Organization limits for fluoride and arsenic. The samples differed in fluoride concentration, hardness, alkalinity, and other dissolved species. Adsorption experiments over six reuse cycles revealed that Hap-IONp-1, with a lower iron oxide content, consistently achieved higher fluoride removal, particularly in waters with moderate fluoride levels and high hardness. However, the efficiency of both materials decreased in samples with high alkalinity and fluoride concentrations, likely due to ion competition. These findings highlight the importance of water chemistry in adsorbent selection and support the development of tailored materials for effective fluoride remediation in natural waters.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 9","pages":"383"},"PeriodicalIF":3.8,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144854935","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":"Effects of fertilizers on arsenic accumulation in ratoon rice: implications for human health risks.","authors":"Kai-Wei Juang, Han-Ting Hsu, Wan-Ting Chiao, Chien-Hui Syu, Bo-Ching Chen","doi":"10.1007/s10653-025-02690-8","DOIUrl":"10.1007/s10653-025-02690-8","url":null,"abstract":"<p><p>Rice ratooning has received increased attention in recent years since it can reduce labor, seed, and energy inputs. However, rice ratooning may result in yield loss and thus requires the addition of fertilizers. In addition, some recent research has indicated that rice ratooning can significantly reduce the concentration of grain arsenic (As). Therefore, pot experiments were conducted in the present study to delineate the effects of different fertilizers on grain As accumulation in ratoon rice from three rice genotypes commonly cultivated in Taiwan. The interaction between iron (Fe) and As in rhizosphere soil and the root surface was also determined. The results showed that fertilizer treatment had profound effects on As accumulation in Fe plaque. In addition, there was a remarkable difference in the indexes of As sequestration by Fe oxides in root plaque (IAS) among the three cultivars. Significant correlations were found between As in brown rice and IAS across three genotypes and five fertilizers treatments, with the r² value ranging from 0.3933 to 0.8708. This result implies the feasibility of reducing As concentrations in grains by managing IAS in an Fe plaque environment in the rice ratooning system. Moreover, rice husk treatment showed different effects on As accumulation in the different rice genotypes, indicating that different fertilizer application strategies should be adopted for different genotypes to reduce As accumulation in ratoon rice. Lastly, according to the assessment results, the selection of TCS17 along with the application of 0.5-1% rice husk could effectively reduce the health risks associated with consuming ratoon rice. This study clarified the effects of fertilizers on As accumulation in ratoon rice, and future research is encouraged to characterize the effects of various factors on the accumulation and translocation of As in a rice ratoon system.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 9","pages":"377"},"PeriodicalIF":3.8,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144834470","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":"Pollution source tracing and health impact of PM₁₀ elements using DN-PMF in sub-urban sites of the Indian Himalayan Region.","authors":"Sakshi Gupta, Priyanka Srivastava, Jagdish Chandra Kuniyal, Renu Lata, Soumen Raul, Anit Dawar, Sheetal Chaudhary, Archana Bawari, Anil Singh Salal, Shilpa Thakur, Manish Naja, Abhijit Chatterjee, Narayanasamy Vijayan, Preeti Tiwari, Sudhir Kumar Sharma","doi":"10.1007/s10653-025-02692-6","DOIUrl":"10.1007/s10653-025-02692-6","url":null,"abstract":"<p><p>Air pollution, once considered a problem of urban and industrial centers, is now increasingly impacting remote and ecologically fragile regions like the Indian Himalayas, threatening both environmental stability and public health. This study presents a comprehensive assessment of PM₁₀-bound elements across the Indian Himalayan Region, covering western (Mohal-Kullu), central (Almora and Nainital), and eastern (Darjeeling) Himalayas. Extensive sampling from January 2019 to December 2020 revealed a complex mixture of natural and anthropogenic emissions. Morphological characterization using field emission-scanning electron microscopy identified diverse particle types-spherical, irregular, and flocculent-indicating sources such as crustal dust, combustion, and vehicular emissions. Elemental analysis via WD-XRF quantified 23 major and trace elements (e.g., Al, Fe, Ca, Cr, Zn, Cu) consistently across all sites. Source apportionment using dispersion-normalized positive matrix factorization identified 9  major pollution sources, including road dust, industrial activities, biomass burning, and vehicular emissions. Conditional bivariate probability function and concentration weighted trajectory analyses further highlighted dominant local sources and significant regional and transboundary pollution transport. A multi-pathway health risk assessment revealed that toxic elements like Cr(VI), Mn, and As pose both carcinogenic and non-carcinogenic risks, particularly to children. Seasonal variations in PM₁₀ levels reflected region-specific emission characteristics. This study is the first of its kind to integrate source apportionment and health risk assessment across the entire IHR, providing critical insights necessary for targeted mitigation and sustainable environmental management in this under-studied but highly sensitive region.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 9","pages":"381"},"PeriodicalIF":3.8,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144845052","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":"Assessing the impact of air pollution exposure on preterm birth risk in different subtypes of twin pregnancies and identifying critical sensitive windows.","authors":"Xue-Bing Chen, Wei-Zhen Tang, Qin-Yu Cai, Tai-Hang Liu, Fei Han, Hong-Yu Xu, Yun-Ren Pan, Niya Zhou, Yong Heng Wang, Qiao Huang","doi":"10.1007/s10653-025-02671-x","DOIUrl":"10.1007/s10653-025-02671-x","url":null,"abstract":"<p><p>Recent studies on maternal exposure to air pollution and preterm birth (PTB) have yielded inconsistent results, with varying critical windows of exposure. This study aims to explore the association between air pollution and the risk of preterm birth in different subtypes of twin pregnancies, while identifying the sensitive time windows. In this retrospective study, we analyzed 3623 twin-pregnant women, categorized by timing and clinical condition of preterm birth. We used restricted cubic splines (RCS) and multivariable logistic regression to examine the effects of air pollution on different preterm birth subtypes. The results indicate that air pollution exposure during twin pregnancy significantly increased the risk of late-PTB and sPTB. In the third trimester, exposure to PM_2.5, PM₁₀, SO₂, NO₂, and CO increased the risk of late-PTB. Six pollutants were associated with higher sPTB risk throughout pregnancy, particularly in late pregnancy, with more pronounced increase. These results suggest that late pregnancy may be a critical window for the impacts of air pollution on twin pregnancies. These findings provide important scientific evidence to manage air pollution-related PTB risks in twin pregnancy.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 9","pages":"380"},"PeriodicalIF":3.8,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144834468","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":"Assessing the robustness and generalizability of machine learning models for predicting selenium content in rice: a case study from the Pearl River Delta and Eastern Guangdong, China.","authors":"Guiqi Ye, Tingting Li, Wenda Geng, Kun Qian, Xudong Ma, Qingye Hou, Tao Yu, Zhongfang Yang, Xin Zhu","doi":"10.1007/s10653-025-02681-9","DOIUrl":"10.1007/s10653-025-02681-9","url":null,"abstract":"<p><p>Crop selenium uptake, influenced by complex factors, has prompted extensive research to predict the Se content in crop grains, leading to the development of various prediction methods. However, the practical application of these models is limited by geographical constraints and variations in independent variables. This study selected two distinct regions in Guangdong Province, China: the Pearl River Delta (PRD), a Quaternary plain region, and Heyuan, a hilly region characterized by outcrops of clastic rocks. A total of 205 paired rice and rhizosphere soil samples (PRD: 2016) and 60 paired samples (Heyuan: 2023) were collected to assess model robustness and generalizability. The results showed that 82.93% and 30.00% of soil Se ≥ 0.40 mg/kg and 72.68% and 38.33% of rice grain Se content ≥ 0.04 mg/kg were found in the PRD and Heyuan, respectively. However, no significant positive correlation was observed between soil Se and rice grain Se content in either area. Further studies found that the main influencing factors of rice grain Se content were soil SiO₂, Al₂O₃, total organic carbon (TOC), S, and pH. The model was applied to the dataset for both time periods separately, yielded strong results, indicating that the model is robust and does not fluctuate greatly with the time of sample collection. The five feature subsets were used to predict the two regions separately with significant results. This indicates that the subset of predictive model features is highly generalizable, and the differences in the lithology of the soil parent materials and topography do not significantly affect the prediction results.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 9","pages":"382"},"PeriodicalIF":3.8,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144845051","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}