Environmental Research最新文献

{"title":"Unraveling the response mechanism of soil dissolved organic matter to petroleum hydrocarbon contamination: Insights from a wood preservation site study","authors":"Changjian Zou ,&nbsp;Yunde Liu ,&nbsp;Liwen Huang ,&nbsp;Ling Zheng ,&nbsp;Aiguo Zhou ,&nbsp;Jing Hua ,&nbsp;Yuxiao Jiang ,&nbsp;Yuanzheng Zhang","doi":"10.1016/j.envres.2026.123744","DOIUrl":"10.1016/j.envres.2026.123744","url":null,"abstract":"<div><div>Petroleum hydrocarbons in soil can alter the optical properties of dissolved organic matter (DOM) directly via physical mixing and indirectly by modifying microbial community structure and metabolism, thereby affecting DOM transformation and composition. However, the specific responses and underlying mechanisms of soil DOM to petroleum hydrocarbon contamination remain unclear. In this study, a wood preservation site in southern China contaminated with long-chain hydrocarbons (C₁₀-C₄₀) was selected as the study area. The soil DOM was analyzed by fluorescence excitation emission matrix (EEM)-parallel factor analysis (PARAFAC), with the tryptophan-like component (C1), petroleum-derived DOM component (C2), and humic-like component (C3) as the main fluorescence components. Results of 16S rRNA suggested that C₁₀-C₄₀ contamination led to a decrease in the microbial community's diversity and a notable rise in the abundance of potential hydrocarbon-degrading microorganisms (<em>Pseudomonas</em> and <em>Sphingomonas</em> genera). Spearman's correlation demonstrated that C₁₀-C₄₀ contamination significantly enhanced the fluorescence intensity of soil DOM. According to the partial least squares structural equation model, soil C₁₀-C₄₀ pollution increased the percentage of C1 (%Fmax-C1) and C2 (%Fmax-C2) but decreased the humification degree through direct mixing. Meanwhile, petroleum hydrocarbon contamination indirectly increased the %Fmax-C2 and reduced the humification degree of DOM by stimulating the metabolism of hydrocarbon-degrading microorganisms. Moreover, the (%Fmax-C2)/(%Fmax-C1) ratio demonstrated a significant positive correlation with the abundance of hydrocarbon-degrading bacteria, whereas no significant correlation was observed with C₁₀-C₄₀ concentration. These results indicated that %Fmax-C1 and (%Fmax-C2)/(%Fmax-C1) ratio could be used as potential indicators for the rapid screening of petroleum hydrocarbon pollution and its natural attenuation, respectively.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"293 ","pages":"Article 123744"},"PeriodicalIF":7.7,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145951076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Retraction notice to ‘Antimicrobial, antioxidant, anticancer, and antithrombotic, competency of saponins from the root of Decalepis hamiltonii’ [Environ. Res. 231 (2023) 116096]","authors":"Jayaraman Gitanjali ,&nbsp;Duraisamy Sumathi Dinesh Ram ,&nbsp;Kavitha R ,&nbsp;Venkatesan Amalan ,&nbsp;Tahani Awad Alahmadi ,&nbsp;Sulaiman Ali Alharbi ,&nbsp;Sabariswaran Kandasamy ,&nbsp;Rajasree Shanmuganthan ,&nbsp;Natesan Vijayakumar","doi":"10.1016/j.envres.2026.123717","DOIUrl":"10.1016/j.envres.2026.123717","url":null,"abstract":"","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"293 ","pages":"Article 123717"},"PeriodicalIF":7.7,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145975162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Predicting heavy metal distribution coefficient in global soil via machine learning: The effect of mineral heterogeneity","authors":"Wenping Zuo ,&nbsp;Huangling Gu ,&nbsp;Qinpeng Liao ,&nbsp;Jin Chao ,&nbsp;Chongchong Qi ,&nbsp;Junqin Liu ,&nbsp;Yuancai Lv ,&nbsp;Chen Tian ,&nbsp;Zhang Lin","doi":"10.1016/j.envres.2026.123957","DOIUrl":"10.1016/j.envres.2026.123957","url":null,"abstract":"<div><div>Heavy metal adsorption by soil particles significantly influences its pollution risk in global soil. However, the global distribution of soil adsorption ability is still lacking due to the difficulty of obtaining large-scale adsorption data. Here, we proposed a novel method to evaluate the adsorption ability in a global scale through predicting the distribution coefficient (<em>K</em>_d) of HMs in soil <em>via</em> machine learning and big data. Based on the data selected, which included soil properties, adsorption properties, and mineral contents, the Random Forest (RF) achieved prediction accuracies of 0.91, 0.85, 0.90, and 0.87 for <em>K</em>_d values of As, Cd, Cr, and Pb, respectively. The main factor influencing <em>K</em>_d values was found to be the mineral contents. The corresponding contents of Fe_oxide, chlorite, and kaolinite exhibited significant positive correlations with As, Cd, and Cr, respectively. The pollution risk areas were further delineated based on the U.S. EPA metrics of <em>K</em>_d. It is noteworthy that the environmental risk areas of farmland on each continent exceed 20%, with Asia had 72%, 64% and 58% of the risk areas for As, Cd and Cr, which are obviously larger than those on other continents. Moreover, the distributions of these high - risk areas were consistent with those of the corresponding minerals below or close to the global mean contents. The approach proposed in this study enables the prediction of <em>K</em>_d values and pollution risk assessment of soils globally, revealing the impact of mineral heterogeneity on <em>K</em>_d values. These results are valuable for evaluating environmental risks and formulating soil remediation strategies.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"295 ","pages":"Article 123957"},"PeriodicalIF":7.7,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146140556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Heavy metal and Microplastic exposure from sports protein Supplements: Integrated health risk modeling and scenario analysis","authors":"MeiTong Chen ,&nbsp;Ruiqing Dong ,&nbsp;WenZhou Lai","doi":"10.1016/j.envres.2026.123988","DOIUrl":"10.1016/j.envres.2026.123988","url":null,"abstract":"<div><div>This study presents an integrated co-exposure assessment of toxic metals and microplastics in 30 commercially available sports protein supplements in China by combining targeted analytical measurements with scenario-based and probabilistic health-risk modeling. Arsenic (As), cadmium (Cd), lead (Pb), and mercury (Hg) were quantified via closed-vessel microwave digestion and inductively coupled plasma mass spectrometry (ICP-MS), validated through duplicate analyses and reference materials. While all samples contained at least one target metal, plant-derived products exhibited higher mean Pb (0.18 mg/kg) and Cd (0.05 mg/kg) levels compared to dairy-derived products (0.06 and 0.01 mg/kg, respectively; P &lt; 0.01). Notably, a brown rice and cocoa-flavored product emerged as an outlier (Pb 0.60 mg/kg; Cd 0.15 mg/kg; As 0.30 mg/kg), whereas Hg concentrations were predominantly &lt;0.01 mg/kg, except for one collagen sample (0.02 mg/kg). Microplastic particles were isolated via peroxide–alkali digestion and identified by micro-Fourier transform infrared (μFTIR) and micro-Raman spectroscopy (μRaman). Microplastics were detected in all samples, ranging from 2 to 19 particles per 30 g serving (mean 8 ± 5); these were predominantly comprised of fibers (40–50%) and fragments (∼30%), with typical sizes of 100–500 μm and polymers including polyethylene, polypropylene, and polyethylene terephthalate. ∗∗ regarding exposure risks∗∗, deterministic modeling yielded a hazard index (HI) of 0.45 for 30 g/day and 0.90 for 90 g/day (driven primarily by As and Cd), while Monte Carlo simulation (10,000 iterations) indicated a 95th-percentile HI of 1.28 under high-use conditions; predicted blood Pb increments remained &lt;3 μg/dL. Collectively, these results offer a quantitative basis for prioritizing contaminant control in high-consumption scenarios and for informing athletes, manufacturers, and regulators about combined contaminant burdens. These findings align with emerging evidence of ubiquitous microplastic presence in protein products and underscore the necessity for consumption-scenario-based risk evaluation regarding heavy metals.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"295 ","pages":"Article 123988"},"PeriodicalIF":7.7,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146140564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Mechanisms and optimization Strategies for surfactant-mediated enhancement of enzymatic hydrolysis of Poly(ethylene terephthalate)","authors":"Jundan Feng ,&nbsp;Yujie Wang ,&nbsp;Yuzheng Lu ,&nbsp;Cavaco-paulo Artur ,&nbsp;Jiajia Fu","doi":"10.1016/j.envres.2026.123883","DOIUrl":"10.1016/j.envres.2026.123883","url":null,"abstract":"<div><div>Polyethylene terephthalate (PET) pollution has become a worldwide environmental challenge, and enzymatic hydrolysis represents a green and sustainable strategy to address this contamination. To enhance enzymatic PET hydrolysis, this study systematically compared the effects of five common surfactants—sodium dodecyl sulfate (SDS), cetyltrimethylammonium bromide (CTAB), di-rhamnolipid (DRL), lauryl betaine (LAB), and polyethylene glycol (PEG300)—on <em>Humicola insolens</em> cutinase (HiC)-catalyzed PET hydrolysis with two different crystallinities. Integrated experimental and computational approaches elucidated the intrinsic mechanism of surfactant-regulated enzymatic PET hydrolysis. Enzymatic hydrolysis results showed that SDS and CTAB inhibit PET hydrolysis, while DRL and LAB slightly enhance it. Notably, 4% (w/v) PEG300 significantly increased the degradation rates of low-crystallinity PET and high-crystallinity PET by 60.23% and 59.28%, respectively, compared with HiC alone. Subsequent studies on surface wettability, enzyme stability, and molecular simulations demonstrated that PEG enhanced enzymatic hydrolysis by regulating the hydrophilicity at the PET interface and the activity and stability of HiC. This study proposes a universal and highly efficient interfacial regulation strategy, laying the foundation for developing enzyme protectants and advancing green and sustainable PET hydrolysis.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"295 ","pages":"Article 123883"},"PeriodicalIF":7.7,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146148646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"OneWater-driven waste-to-watt innovation: Electroactive Polymer–Metal oxide nanostructures for integrated energy production and reuse of wastewater","authors":"Lakeswer Dadsena ,&nbsp;Tungabidya Maharana ,&nbsp;Satya Eswari Jujjavarapu","doi":"10.1016/j.envres.2026.123764","DOIUrl":"10.1016/j.envres.2026.123764","url":null,"abstract":"<div><div>The OneWater paradigm emphasizes integrated and circular management of water resources, promoting technologies that simultaneously address water scarcity, energy demand, and environmental sustainability. Microbial fuel cells (MFCs) support these objectives by converting organic pollutants into renewable bioelectricity while treating wastewater. In this study, high-performance bioanodes based on polypyrrole–titanium dioxide (PPy–TiO₂) nanocomposites were developed on nickel foam (PPy–TiO₂/NF) and graphite sheet (PPy– TiO₂/GS) substrates to enhance electrochemical activity and microbial electron transfer. Comprehensive structural characterization (XRD, FTIR, SEM, TEM, SAED, EDX) confirmed the uniform incorporation of anatase-phase TiO₂ within a conductive PPy matrix, forming a porous and electroactive surface. Electrochemical analyses revealed significantly reduced charge-transfer resistance and enhanced pseudocapacitive behavior for PPy–TiO₂/NF, which translated into superior MFC performance. When operated with <em>Citrobacter freundii</em>, the PPy– TiO₂/NF anode achieved a peak voltage of 998 ± 10 mV, maximum power density of 2411 ± 30 mW/m², current density of 2416 ± 25 mA/m², and high treatment efficiency with 86.40 ± 0.8 % COD removal and 35.56 ± 1.7 % coulombic efficiency. Dense, viable biofilms on the 3D nickel foam scaffold further supported enhanced electron recovery. To assess practical scalability, three PPy–TiO₂/NF-based MFC units were successfully stacked in series, generating &gt;2.0 V sufficient to illuminate an LED bulb. Following treatment, the effluent was UV-disinfected and safely reused for non-potable applications such as landscape irrigation, demonstrating direct integration of wastewater treatment, energy recovery, and water reuse. These results highlight PPy–TiO₂-modified electrodes as robust and sustainable candidates for decentralized circular water–energy systems under OneWater frameworks.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"293 ","pages":"Article 123764"},"PeriodicalIF":7.7,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145984204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Prenatal arsenic speciation and thyroid hormone levels during pregnancy and adolescence","authors":"Sabrina Llop ,&nbsp;Julia Lönnqvist ,&nbsp;Maria-Jose Lopez-Espinosa ,&nbsp;Mario Murcia ,&nbsp;Loreto Santa-Marina ,&nbsp;Ferran Ballester ,&nbsp;Amaia Irizar ,&nbsp;Simone Braeuer ,&nbsp;Ana Esplugues ,&nbsp;Manuel Lozano ,&nbsp;Jorge Vallejo-Ortega ,&nbsp;Gonzalo García-Baquero ,&nbsp;Ziortza Barroeta ,&nbsp;Florencia Harari ,&nbsp;Raquel Soler-Blasco","doi":"10.1016/j.envres.2026.123773","DOIUrl":"10.1016/j.envres.2026.123773","url":null,"abstract":"<div><div>This study aimed to evaluate the association between prenatal exposure to inorganic arsenic (iAs) and maternal and offspring thyroid hormone levels, assessed during pregnancy and at 15 years of age. We also evaluated the role of genetic polymorphisms in the <em>DIO1</em> and <em>DIO2</em> genes in this association.</div><div>The study population comprised pregnant women-offspring pair participants in the INMA project in Spain. Free thyroxine (FT4), total triiodothyronine (TT3) and thyroid-stimulating hormone (TSH) were measured in serum samples collected during the first trimester and at 15 years of age. iAs and its metabolites (DMA, MMA) were measured in urine samples collected during the first trimester. The sum of iAs and its metabolites (SumAs) and the iAs methylation efficiency (%iAs, %DMA, %MMA) were calculated. Covariates were obtained through questionnaires. Two SNPs in the <em>DIO1</em> (rs2235544) and <em>DIO2</em> (rs12885300) genes were genotyped in maternal and offspring DNA. The association between maternal As exposure and thyroid hormone levels measured at both time points (n = 981 and n = 330) was evaluated using multivariable linear regression models. Interaction terms were included in the models in order to evaluate effect modification.</div><div>A lower methylation efficiency of maternal iAs (denoted as higher %MMA) was directly associated with maternal FT4, and maternal SumAs concentrations were directly associated with adolescent TSH levels. Additionally, these associations seemed to be modified by two SNPs in the <em>DIO1</em> and <em>DIO2</em> genes. Our results suggest that prenatal exposure to iAs could disrupt thyroid function during both pregnancy and adolescence, and that deiodinase enzymes may play a role.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"293 ","pages":"Article 123773"},"PeriodicalIF":7.7,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145987669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Harnessing solid CO2 in hybrid alkaline cement: Dry ice as a pathway to high-performance and low-emission materials","authors":"Yi-Sheng Wang ,&nbsp;Bong-Seop Lee ,&nbsp;Hongzhi Zhang ,&nbsp;Hyeong-Kyu Cho ,&nbsp;Runsheng Lin ,&nbsp;Shafiq Ishak ,&nbsp;Xiao-Yong Wang","doi":"10.1016/j.envres.2026.123926","DOIUrl":"10.1016/j.envres.2026.123926","url":null,"abstract":"<div><div>The concrete industry urgently requires innovative carbon management strategies to mitigate its substantial CO₂ footprint. Conventional carbonation curing is often constrained by equipment requirements and limited applicability to precast components, highlighting the need for alternative solutions suitable for cast-in-place concretes. This study introduces a novel method of incorporating solid CO₂ (dry ice) into hybrid alkaline cement (HAC) systems, enabling simultaneous performance enhancement and carbon storage. HAC mixtures containing 0–15% dry ice were prepared and systematically investigated in terms of hydration kinetics, mechanical strength, durability, and phase evolution. Isothermal calorimetry, XRD, TG, FTIR, and SEM were employed to reveal the mechanisms underlying the observed changes. Results demonstrate that dry ice moderates system alkalinity, promotes clinker hydration, and induces early precipitation of carbonates that subsequently transform into carbonaluminate phases. At an optimal dosage of 10%, compressive strength increased by 37.45% and surface resistivity by 22.69% at 28 days, accompanied by significant microstructural densification. However, excessive addition (15%) led to early temperature drops and reduced slag activation, which impaired overall performance. Sustainability analysis considering two boundary scenarios of CO₂ escape revealed that incorporating 10% dry ice reduced unit strength CO₂ emissions to 3.87–7.8 kg·CO₂/MPa, representing reductions of 51.9–3.23% compared with the control. These findings demonstrate that dry ice addition provides a low-cost, simple, and scalable route to integrate carbon storage with HAC development. This strategy offers new opportunities for achieving carbon-neutral cementitious materials with enhanced durability and structural performance, particularly in field applications where conventional carbonation curing is impractical.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"295 ","pages":"Article 123926"},"PeriodicalIF":7.7,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146099559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Beyond environmental exposure: Food source contribution as a critical regulator of metal bioaccumulation in mangrove gastropods","authors":"Hanyi Li ,&nbsp;Mingyu Guo ,&nbsp;Jiajia Wu ,&nbsp;Qian Huang ,&nbsp;Shengjie Wu ,&nbsp;Haoliang Lu ,&nbsp;Jingchun Liu ,&nbsp;Chonglin Yan ,&nbsp;Hao Wu ,&nbsp;Xiaoyu Zhao ,&nbsp;Hualong Hong","doi":"10.1016/j.envres.2026.123788","DOIUrl":"10.1016/j.envres.2026.123788","url":null,"abstract":"<div><div>Potentially toxic metals (PTMs) pose serious ecological threats through bioaccumulation in aquatic food webs, yet the influence of dietary pathways remains insufficiently understood. This study examined how food source contributions regulate PTM bioaccumulation in mangrove gastropods across different seasons and species. PTM concentrations were measured in sediments and four gastropod species (<em>Cerithidea rhizophorarum</em>, <em>Littoraria ardouiniana</em>, <em>Neritina violacea</em>, and <em>Bullacta exarata</em>) collected from the Zhangjiang Estuary, China. Food sources were identified using dual stable isotope analysis (δ¹³C and δ¹⁵N) combined with a Bayesian mixing model (SIAR). Three dominant food sources, <em>i.e.,</em> aquaculture phytoplankton (aquaPhyOM), mangrove suspended particulate organic matter (mangroveSPOM), and mudflat benthic microalgae (naturalBMA), were found to drive metal bioaccumulation in gastropod tissues. Their dietary contributions varied across seasons and species. <em>C. rhizophorarum</em> shifted from consuming 69.2 % naturalBMA in summer to 58.6 % mangroveSPOM and 34.6 % aquaPhyOM in winter. <em>B. exarata</em> mainly consumed aquaPhyOM (65.2 %), while <em>N. violacea</em> relied mainly on naturalBMA (59.9 %) during winter. <em>L. ardouiniana</em> exhibited nearly equal contributions from the three food sources (aquaPhyOM: mangroveSPOM: naturalBMA = 27.2 %: 31.5 %: 41.3 %). Notably, food sources interacted with environmental factors to influence metal bioaccumulation. Specifically, ingestion of SPOM may fundamentally change the dominant pathway of Cr uptake in <em>C. rhizophorarum</em>, whereas Mn biodilution intensified with increasing naturalBMA consumption and soft-tissue biomass. These findings redefine patterns of metal bioconcentration, highlighting that trophic pathways play a critical role in PTM transfer rather than passive environmental exposure alone. Future research should quantify metal fluxes across trophic interfaces to better predict ecosystem-level impacts.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"293 ","pages":"Article 123788"},"PeriodicalIF":7.7,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145994128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"From conventional monitoring to intelligent prediction: data-driven analysis of inorganic elements in atmospheric wet deposition at an urban site in Lanzhou","authors":"Chongbin Li,&nbsp;Liang He,&nbsp;Wen Huang,&nbsp;Shengli Wang","doi":"10.1016/j.envres.2026.123893","DOIUrl":"10.1016/j.envres.2026.123893","url":null,"abstract":"<div><div>Atmospheric wet deposition represents a key pathway linking atmospheric pollution to terrestrial ecosystems, with its chemical composition and deposition flux serving as important indicators of regional environmental quality. However, conventional monitoring approaches are labor-intensive and time-consuming, limiting their ability to support timely environmental assessment. In this study, systematic precipitation monitoring was conducted at an urban site in Lanzhou from 2018 to 2024. Based on analyses of concentration levels, deposition fluxes, reuse potential, and source contributions of 20 inorganic elements, machine learning techniques were further introduced to improve concentration prediction and monitoring efficiency. The results indicate that inorganic element deposition fluxes in Lanzhou generally fall within the typical range observed for Asian cities, while crustal-derived elements (e.g., Ca, K, and Mg) exhibit markedly elevated fluxes, reflecting a combined pattern of regional similarity and local characteristics. From a reuse perspective, precipitation shows potential for agricultural irrigation and emergency drinking water supply, although heavy metals such as Pb and Cd constitute the primary constraints on safe utilisation. Positive matrix factorization analysis revealed that the chemical composition of wet deposition is predominantly controlled by soil and construction dust, contributing approximately 68%, highlighting the combined influence of arid geographical conditions and urbanization. Furthermore, an XGBoost-based predictive model integrating conventional atmospheric pollutants and meteorological variables with newly introduced “source” and “transport” factors was developed. Incorporating information on key source regions and regional transport pathways substantially improved model performance, with the coefficient of determination (R²) increasing from 0.46 to 0.59. Overall, this modelling framework provides a promising approach for optimising wet deposition monitoring systems that rely primarily on manual sampling and laboratory analysis, and demonstrates the potential of machine learning for supporting more efficient and responsive environmental management.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"295 ","pages":"Article 123893"},"PeriodicalIF":7.7,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146103357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}