Environmental Pollution最新文献_第6页

Green remediation of REEs-contaminated soil by biodegradable chelators with optimization and risk assessment

IF 7.6 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Pollution

Pub Date : 2025-02-11 DOI: 10.1016/j.envpol.2025.125841

Hongbo Li , Shiqin Long , Shoushu Wei , Qingze Chen , Xiaoju Lin , Xiaoliang Liang , Jianxi Zhu , Runliang Zhu

The omnipresence of rare earth elements (REEs) in the environment, driven by their extensive industrial applications and common occurrence in some weathered crusts, has raised significant concerns as emerging pollutants. Soil washing has been recognized as an effective approach to remediate REEs-contaminated soils. However, traditional washing agents frequently lead to soil acidification and salinization, adversely affecting soil microbial communities and plant growth. This study explored the use of biodegradable chelators (BCs)—specifically N,N-bis(carboxymethyl)-L-glutamic acid (GLDA), iminodisuccinic acid (ISA), and polyaspartic acid (PASP)—as alternatives for removing REEs from contaminated agricultural soils. Our findings demonstrated that the removal efficiency of REEs positively correlates with BCs concentration, liquid-to-solid ratio, and washing time, while showing a negative correlation with solution pH. Through response surface analysis, we determined the optimal parameters for the washing process, revealing that GLDA, ISA, and PASP achieved total REEs removal efficiencies of 50.8%, 40.5%, and 23.2%, respectively. Statistical analysis confirmed that the concentration of BCs was the primary factor influencing washing effectiveness. Moreover, washing with BCs significantly removed reducible REEs—those bound to iron/manganese oxides—thereby decreasing the mobility and bioavailability of REEs in soil. The reduction in bioavailable REEs significantly lowered the environmental risk associated with contaminated soil. Notably, the activity of soil enzymes improved post-washing with BCs, indicating a positive impact on soil health. This study provides valuable insights into the remediation of REEs-contaminated soils using BCs, with GLDA emerging as a particularly effective agent.

{"title":"Green remediation of REEs-contaminated soil by biodegradable chelators with optimization and risk assessment","authors":"Hongbo Li , Shiqin Long , Shoushu Wei , Qingze Chen , Xiaoju Lin , Xiaoliang Liang , Jianxi Zhu , Runliang Zhu","doi":"10.1016/j.envpol.2025.125841","DOIUrl":"10.1016/j.envpol.2025.125841","url":null,"abstract":"<div><div>The omnipresence of rare earth elements (REEs) in the environment, driven by their extensive industrial applications and common occurrence in some weathered crusts, has raised significant concerns as emerging pollutants. Soil washing has been recognized as an effective approach to remediate REEs-contaminated soils. However, traditional washing agents frequently lead to soil acidification and salinization, adversely affecting soil microbial communities and plant growth. This study explored the use of biodegradable chelators (BCs)—specifically N,N-bis(carboxymethyl)-L-glutamic acid (GLDA), iminodisuccinic acid (ISA), and polyaspartic acid (PASP)—as alternatives for removing REEs from contaminated agricultural soils. Our findings demonstrated that the removal efficiency of REEs positively correlates with BCs concentration, liquid-to-solid ratio, and washing time, while showing a negative correlation with solution pH. Through response surface analysis, we determined the optimal parameters for the washing process, revealing that GLDA, ISA, and PASP achieved total REEs removal efficiencies of 50.8%, 40.5%, and 23.2%, respectively. Statistical analysis confirmed that the concentration of BCs was the primary factor influencing washing effectiveness. Moreover, washing with BCs significantly removed reducible REEs—those bound to iron/manganese oxides—thereby decreasing the mobility and bioavailability of REEs in soil. The reduction in bioavailable REEs significantly lowered the environmental risk associated with contaminated soil. Notably, the activity of soil enzymes improved post-washing with BCs, indicating a positive impact on soil health. This study provides valuable insights into the remediation of REEs-contaminated soils using BCs, with GLDA emerging as a particularly effective agent.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"369 ","pages":"Article 125841"},"PeriodicalIF":7.6,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143393703","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}

引用次数: 0

Microplastics in 132 Iowa lakes and variability in relation to abiotic, biotic, and anthropogenic factors

IF 7.6 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Pollution

Pub Date : 2025-02-10 DOI: 10.1016/j.envpol.2025.125839

Psalm Amos , William G. Crumpton , Grace Wilkinson , Djuradj Milošević , Danielle Eads , Boris Jovanović

The global annual plastic production rate is approaching 400 million metric tons, with substantial amounts invading aquatic environments yearly. Numerous studies have been conducted monitoring marine plastic litter. An understanding of plastic litter's magnitude in freshwater ecosystems is lagging, particularly for microplastics (MP(s) 100 nm to 5 mm in length/diameter). Their ubiquitous presence and small sizes are concerning since MP effects remain inadequately understood. Our objective was to identify MP, measure concentration in lake surface waters and investigate how abiotic, biotic, and anthropogenic elements explain MP concentration variability among lakes. We sampled MPs in 132 Iowa lakes, collected throughout the water column using a Wisconsin net (53 μm mesh size). A fully automated custom-built Bruker LUMOS-II Fourier-transform infrared (FTIR) spectro-microscope was employed to identify MPs. Average MP concentration across all lakes was 5 particles/L, with dimensions averaging 145 μm in length and 80 μm in width. Predominant MP polymers collected were polyvinyl chloride (46% of all MPs), polyester (30%), and polyethylene (11%). Two variance partitioning analysis models were created to explore variability in MP concentration. The first classical model explained 7.5% of data variability based on roads, developed medium and high-intensity land cover, sewage plants, and thermocline. The second model, built according to Louvain Groups, explained 8.3% of data variability based on lake area, maximum lake depth, zooplankton tow depth, Secchi depth, lake perimeter, lake shoreline development factor, evergreen forest cover, and thermocline. Roads and developed intensity cover were positively correlated with MP concentrations, alongside household visits standardized to the lake area. Maximum lake depth, zooplankton tow depth, and Secchi depth were negatively correlated with MP concentration. MP concentration was significantly lower if the thermocline was present at the time of sample collection. In seven lakes, MP concentrations exceeded half-value of the modeled hazardous concentration, affecting 5% of aquatic species.

{"title":"Microplastics in 132 Iowa lakes and variability in relation to abiotic, biotic, and anthropogenic factors","authors":"Psalm Amos , William G. Crumpton , Grace Wilkinson , Djuradj Milošević , Danielle Eads , Boris Jovanović","doi":"10.1016/j.envpol.2025.125839","DOIUrl":"10.1016/j.envpol.2025.125839","url":null,"abstract":"<div><div>The global annual plastic production rate is approaching 400 million metric tons, with substantial amounts invading aquatic environments yearly. Numerous studies have been conducted monitoring marine plastic litter. An understanding of plastic litter's magnitude in freshwater ecosystems is lagging, particularly for microplastics (MP(s) 100 nm to 5 mm in length/diameter). Their ubiquitous presence and small sizes are concerning since MP effects remain inadequately understood. Our objective was to identify MP, measure concentration in lake surface waters and investigate how abiotic, biotic, and anthropogenic elements explain MP concentration variability among lakes. We sampled MPs in 132 Iowa lakes, collected throughout the water column using a Wisconsin net (53 μm mesh size). A fully automated custom-built Bruker LUMOS-II Fourier-transform infrared (FTIR) spectro-microscope was employed to identify MPs. Average MP concentration across all lakes was 5 particles/L, with dimensions averaging 145 μm in length and 80 μm in width. Predominant MP polymers collected were polyvinyl chloride (46% of all MPs), polyester (30%), and polyethylene (11%). Two variance partitioning analysis models were created to explore variability in MP concentration. The first classical model explained 7.5% of data variability based on roads, developed medium and high-intensity land cover, sewage plants, and thermocline. The second model, built according to Louvain Groups, explained 8.3% of data variability based on lake area, maximum lake depth, zooplankton tow depth, Secchi depth, lake perimeter, lake shoreline development factor, evergreen forest cover, and thermocline. Roads and developed intensity cover were positively correlated with MP concentrations, alongside household visits standardized to the lake area. Maximum lake depth, zooplankton tow depth<u>,</u> and Secchi depth were negatively correlated with MP concentration. MP concentration was significantly lower if the thermocline was present at the time of sample collection. In seven lakes, MP concentrations exceeded half-value of the modeled hazardous concentration, affecting 5% of aquatic species.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"369 ","pages":"Article 125839"},"PeriodicalIF":7.6,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143385486","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}

引用次数: 0

Polyethylene microplastics inhibit the growth and reproduction of Colorado potato beetle and the predation efficiency of Stinkbug

IF 7.6 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Pollution

Pub Date : 2025-02-10 DOI: 10.1016/j.envpol.2025.125840

Jiebo Zhang, Yang Hu, Yi Zhang, Bingyu He, Jianan Wang, Yurun Li, Chao Li

Microplastics, as an environmental pollutant, are receiving increasing attention due to their ubiquitous presence in ecosystems and their ability to transfer and accumulate through food chains. Although it is well known that microplastics can enter plants through nutrient and water uptake by plant roots, the effects of microplastics on the growth, development and predation efficiency of herbivorous insects and predatory natural enemies after transfer from plants are still lacking. In order to investigate the impacts of polyethylene microplastics (PE-MPs) on the growth, reproduction of herbivorous insects and the predation efficiency of their predatory natural enemies, the quarantine pest globally - Leptinotarsa decemlineata and its predatory natural enemy - the Arma chinensis were selected as the research objects. Constructed a transfer system of polyethylene microplastics (PE-MPs) soil - potato plants - L. decemlineata and PE-MPs feed - Tenebrio molitor - A. chinensis. The key attention is paid to the reproduction, growth, and development of the L. decemlineata, as well as changes in the predation behavior and ability of A. chinensis against the L. decemlineata. We found that PE-MPs treatment reduced the egg production of adult L. decemlineata, prolonged their developmental time, and decreased their survival rate. Additionally, it extended the resting time, searching time, paralyzing time, and the latent period of A. chinensis, while decreasing the predation amount of A. chinensis on L. decemlineata larvae. Although the effects of PE-MPs on the growth and reproduction of L. decemlineata and the predatory efficiency of armpit A. chinensis were limited, our study still revealed the adverse effects of PE-MPs on phytophagous pests and predatory natural enemies. Finally, the mechanisms underlying these effects remain uncertain, necessitating further research to assess whether microplastics have potential long-term impacts on interactions between herbivorous insects and their predatory enemies. Collectively, these studies provide new insights into the effects of microplastics on herbivorous insects and predatory natural enemies.

{"title":"Polyethylene microplastics inhibit the growth and reproduction of Colorado potato beetle and the predation efficiency of Stinkbug","authors":"Jiebo Zhang, Yang Hu, Yi Zhang, Bingyu He, Jianan Wang, Yurun Li, Chao Li","doi":"10.1016/j.envpol.2025.125840","DOIUrl":"10.1016/j.envpol.2025.125840","url":null,"abstract":"<div><div>Microplastics, as an environmental pollutant, are receiving increasing attention due to their ubiquitous presence in ecosystems and their ability to transfer and accumulate through food chains. Although it is well known that microplastics can enter plants through nutrient and water uptake by plant roots, the effects of microplastics on the growth, development and predation efficiency of herbivorous insects and predatory natural enemies after transfer from plants are still lacking. In order to investigate the impacts of polyethylene microplastics (PE-MPs) on the growth, reproduction of herbivorous insects and the predation efficiency of their predatory natural enemies, the quarantine pest globally - <em>Leptinotarsa decemlineata</em> and its predatory natural enemy - the <em>Arma chinensis</em> were selected as the research objects. Constructed a transfer system of polyethylene microplastics (PE-MPs) soil - potato plants - <em>L. decemlineata</em> and PE-MPs feed - <em>Tenebrio molitor</em> - <em>A. chinensis</em>. The key attention is paid to the reproduction, growth, and development of the <em>L. decemlineata</em>, as well as changes in the predation behavior and ability of <em>A. chinensis</em> against the <em>L. decemlineata</em>. We found that PE-MPs treatment reduced the egg production of adult <em>L. decemlineata</em>, prolonged their developmental time, and decreased their survival rate. Additionally, it extended the resting time, searching time, paralyzing time, and the latent period of <em>A. chinensis</em>, while decreasing the predation amount of <em>A. chinensis</em> on <em>L. decemlineata</em> larvae. Although the effects of PE-MPs on the growth and reproduction of <em>L. decemlineata</em> and the predatory efficiency of armpit <em>A. chinensis</em> were limited, our study still revealed the adverse effects of PE-MPs on phytophagous pests and predatory natural enemies. Finally, the mechanisms underlying these effects remain uncertain, necessitating further research to assess whether microplastics have potential long-term impacts on interactions between herbivorous insects and their predatory enemies. Collectively, these studies provide new insights into the effects of microplastics on herbivorous insects and predatory natural enemies.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"369 ","pages":"Article 125840"},"PeriodicalIF":7.6,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143385487","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}

引用次数: 0

Drivers of civil aviation emissions in China: Considering spatial heterogeneity and interdependence

IF 7.6 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Pollution

Pub Date : 2025-02-10 DOI: 10.1016/j.envpol.2025.125838

Simeng Ma , Wenhui Zheng , Bo Han , Zhiqiang Deng , Jinglei Yu , Jingbo Zhao , Chen Zhang , Jian Yu , Philip K. Hopke

CO₂ and NO_x emissions from aviation transportation are critical components of overall transportation-related emissions, significantly impacting both climate and air quality. To implement more targeted and effective measures for mitigating emissions in this sector, it is essential to conduct empirical analyses that deepen our understanding of the factors influencing aviation emissions. Previous studies have predominantly focused on emissions from the entire transportation sector, with limited research specifically addressing aviation emissions. Notably, past research has often overlooked the existence of spatial autocorrelation patterns in aviation emissions. Here, we developed a civil aviation emission inventory at the provincial scale for China using a bottom-up approach based on daily flight schedules from 2012 to 2019. By utilizing the STIRPAT and spatial Durbin models, we identified key factors affecting civil aviation CO₂ and NO_x emissions and assessed their spatial effects at the provincial level in China. Spatial-temporal analysis revealed distinct patterns and spatial non-stationarity in CO₂ and NO_x emissions from civil aviation. The results also highlighted that GDP, per capita GDP, the transportation price index, and per capita consumption expenditure positively drive. The results emphasize the importance of close collaboration among different provinces to effectively decarbonize and reduce pollution in the civil aviation sector given the significant observed spatial dependencies. These findings provide valuable insights for policymakers in formulating strategies to reduce aviation emissions and understanding the influence of different socioeconomic activities on emissions.

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引用次数: 0

Machine learning-based evolution of water quality prediction model: An integrated robust framework for comparative application on periodic return and jitter data

IF 7.6 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Pollution

Pub Date : 2025-02-09 DOI: 10.1016/j.envpol.2025.125834

Xizhi Nong , Yi He , Lihua Chen , Jiahua Wei

Accurate water quality prediction is paramount for the sustainable management of surface water resources. Current deep learning models face challenges in reliably forecasting water quality due to the non-stationarity of environmental conditions and the intricate interactions among various environmental factors. This study introduces a novel, multi-level coupled machine learning framework that integrates data denoising, feature selection, and Long Short-Term Memory (LSTM) networks to enhance predictive accuracy. The findings demonstrate that the LSTM model incorporates data denoising pre-processing, capturing non-stationary water quality patterns more effectively than the baseline model, enhancing prediction performance (R² increased by 1.01%). The most adept model with wavelet transform exhibited superior adaptability and predictability, achieving a modest but statistically significant increase in R² values of 0.81% and 0.51% relative to incorporate moving average and complete ensemble empirical mode decomposition with adaptive noise techniques, respectively. The integrated models varied in their suitability for time series characterized by different patterns of variability (stability vs. instability, periodicity vs. non-periodicity). We conducted multi-step ahead predictions (t+1 and t+3 days) and employed two training configurations (80-20% and 70-30% splits) for dissolved oxygen and the permanganate index across four monitoring stations within the world's largest long-distance inter-basin water diversion project, to assess the reliability and robustness of the proposed water quality prediction models under varying conditions. The integration of data denoising techniques with LSTM networks substantially improves the prediction of dynamic water quality indices in complex environmental settings. Future research should explore the scalability of this framework across different geographical and climatic conditions to further validate its effectiveness and utility in global water resource management.

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引用次数: 0

A PM2.5 spatiotemporal prediction model based on mixed graph convolutional GRU and self-attention network

IF 8.9 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Pollution

Pub Date : 2025-02-08 DOI: 10.1016/j.envpol.2025.125748

Zhao Guyu, Yang Xiaoyuan, Shi Jiansen, He Hongdou, Wang Qian

The increase in atmospheric pollution has made it essential to develop accurate models for predicting pollutant concentrations. The current researches have faced challenges such as the neglect of significant information selection from local and neighboring stations, as well as insufficient attention to long-term historical data patterns. Therefore, this paper proposes a spatiotemporal prediction model called MGCGRU-SAN, which leverages long-term historical data to predict PM_2.5 concentration values across multiple stations and multiple time steps in the future. Firstly, we employ the Mixed Graph Convolutional GRU(MGCGRU) module to capture the spatiotemporal dependencies in short-term historical time series from various stations. Secondly, the long-term PM_2.5 historical time series (e.g. one week) is divided into uniformly sized segments and fed into the Self-Attention Network(SAN) module to capture the long-term potential temporal patterns. These enable the model to not only capture short-term fluctuations, but also identify and track long-term temporal patterns and trends in the prediction process. Finally, we conduct extensive comparative and ablation experiments using historical air pollutant and meteorological data from the Beijing-Tianjin-Hebei region. The experimental results demonstrate that the model, after capturing the long-term latent temporal patterns, achieve improvements of 9.62%, 6.33%, and 4.98% in the RSE, MAE, and RMSE evaluation metrics during multi-step prediction. Overall, the model outperforms the best baseline model by an average of 8.34%, 6.12%,4.06%, and 2.60% in RSE, MAE, RMSE, and Correlation metrics, respectively, showing superior performance in multi-station long-term predictions.

{"title":"A PM2.5 spatiotemporal prediction model based on mixed graph convolutional GRU and self-attention network","authors":"Zhao Guyu, Yang Xiaoyuan, Shi Jiansen, He Hongdou, Wang Qian","doi":"10.1016/j.envpol.2025.125748","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.125748","url":null,"abstract":"The increase in atmospheric pollution has made it essential to develop accurate models for predicting pollutant concentrations. The current researches have faced challenges such as the neglect of significant information selection from local and neighboring stations, as well as insufficient attention to long-term historical data patterns. Therefore, this paper proposes a spatiotemporal prediction model called MGCGRU-SAN, which leverages long-term historical data to predict PM<sub>2.5</sub> concentration values across multiple stations and multiple time steps in the future. Firstly, we employ the Mixed Graph Convolutional GRU(MGCGRU) module to capture the spatiotemporal dependencies in short-term historical time series from various stations. Secondly, the long-term PM<sub>2.5</sub> historical time series (e.g. one week) is divided into uniformly sized segments and fed into the Self-Attention Network(SAN) module to capture the long-term potential temporal patterns. These enable the model to not only capture short-term fluctuations, but also identify and track long-term temporal patterns and trends in the prediction process. Finally, we conduct extensive comparative and ablation experiments using historical air pollutant and meteorological data from the Beijing-Tianjin-Hebei region. The experimental results demonstrate that the model, after capturing the long-term latent temporal patterns, achieve improvements of 9.62%, 6.33%, and 4.98% in the RSE, MAE, and RMSE evaluation metrics during multi-step prediction. Overall, the model outperforms the best baseline model by an average of 8.34%, 6.12%,4.06%, and 2.60% in RSE, MAE, RMSE, and Correlation metrics, respectively, showing superior performance in multi-station long-term predictions.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"9 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143367606","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}

引用次数: 0

Interactions between selenium species and pyrogenic carbonaceous materials in water and soil relevant to selenium control and remediation: A molecular-level perspective

IF 7.6 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Pollution

Pub Date : 2025-02-08 DOI: 10.1016/j.envpol.2025.125831

Yi Yang , Mengxue Liu , Joseph J. Pignatello

In the environment, selenium (Se) has dual impacts on living organisms, as it is an essential element but high concentrations can be toxic. Current technologies for treating Se in real applications are not cost effective. Pyrogenic carbonaceous materials (PCM) with high surface area and redox properties have been proposed to remove Se. The objective of this review is to evaluate recent developments in fabrication of PCM and functionalized PCM for Se sorption and reduction in environmental remediation, as well as their potential impacts on crop growth. The sorptive removal of Se by PCM depends on the combined effects of electrostatic interactions, steric constraints, and complexation with metal species. The reduction property of PCM facilitates the conversion the ionic Se into solid state. The sorption of Se on PCM can also find applications in crop growth and the inhibition of heavy metal ions. We provide an outlook of terminal treatment of Se on PCM including immobilizing Se as solid species or applying PCM with sorbed Se as micronutrient soil amendment.

{"title":"Interactions between selenium species and pyrogenic carbonaceous materials in water and soil relevant to selenium control and remediation: A molecular-level perspective","authors":"Yi Yang , Mengxue Liu , Joseph J. Pignatello","doi":"10.1016/j.envpol.2025.125831","DOIUrl":"10.1016/j.envpol.2025.125831","url":null,"abstract":"<div><div>In the environment, selenium (Se) has dual impacts on living organisms, as it is an essential element but high concentrations can be toxic. Current technologies for treating Se in real applications are not cost effective. Pyrogenic carbonaceous materials (PCM) with high surface area and redox properties have been proposed to remove Se. The objective of this review is to evaluate recent developments in fabrication of PCM and functionalized PCM for Se sorption and reduction in environmental remediation, as well as their potential impacts on crop growth. The sorptive removal of Se by PCM depends on the combined effects of electrostatic interactions, steric constraints, and complexation with metal species. The reduction property of PCM facilitates the conversion the ionic Se into solid state. The sorption of Se on PCM can also find applications in crop growth and the inhibition of heavy metal ions. We provide an outlook of terminal treatment of Se on PCM including immobilizing Se as solid species or applying PCM with sorbed Se as micronutrient soil amendment.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"369 ","pages":"Article 125831"},"PeriodicalIF":7.6,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143367607","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}

引用次数: 0

Enhanced Activation of Peroxymonosulfate by Nickel Sulfide with Sulfur Vacancies for Ultrafast Organic Pollutants Degradation: Roles of Active Sites and Mechanism

IF 8.9 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Pollution

Pub Date : 2025-02-08 DOI: 10.1016/j.envpol.2025.125789

Cai-Wu Luo, Liang Jiang, Xian-Feng Li, Qiang-Mao Wan, Tian-Jiao Jiang, Sen-Ping Mao, Jing-Qian Guo, Run-Ze Zhao, Chao Xie

The transition metal sulfide-activated peroxymonosulfate (PMS) has been proven to be a promising alternative for removing organic pollutants. However, the interaction among active sites was not fully elucidated. To clarify this issue, a simple nickel sulfide with sulfur vacancies (NSHC10-400) via the hydrothermal-calcination successive treatments was successfully fabricated and employed for activating PMS for Acid Orange II (AOII) removal. The results showed that the Ni²⁺, reductive sulfur species and sulfur vacancies acted as main active sites on the activation of PMS. Due to their synergistic effect, the NSHC10-400 exhibited extraordinary catalytic activity, degrading nearly complete AOII only for 1.0 min with small PMS concentration. Besides, it still kept high degradation in the existence of foreign interference. The electron spin resonance and quenching experiments indicated that both radical and non-radical species jointly contributed to the degradation of AOII. Finally, the bio-toxicity of solution was reduced after the reaction. Overall, this work provided an effective process for removing organic pollutants from the wastewater.

{"title":"Enhanced Activation of Peroxymonosulfate by Nickel Sulfide with Sulfur Vacancies for Ultrafast Organic Pollutants Degradation: Roles of Active Sites and Mechanism","authors":"Cai-Wu Luo, Liang Jiang, Xian-Feng Li, Qiang-Mao Wan, Tian-Jiao Jiang, Sen-Ping Mao, Jing-Qian Guo, Run-Ze Zhao, Chao Xie","doi":"10.1016/j.envpol.2025.125789","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.125789","url":null,"abstract":"The transition metal sulfide-activated peroxymonosulfate (PMS) has been proven to be a promising alternative for removing organic pollutants. However, the interaction among active sites was not fully elucidated. To clarify this issue, a simple nickel sulfide with sulfur vacancies (NSHC10-400) <em>via</em> the hydrothermal-calcination successive treatments was successfully fabricated and employed for activating PMS for Acid Orange II (AOII) removal. The results showed that the Ni<sup>2+</sup>, reductive sulfur species and sulfur vacancies acted as main active sites on the activation of PMS. Due to their synergistic effect, the NSHC10-400 exhibited extraordinary catalytic activity, degrading nearly complete AOII only for 1.0 min with small PMS concentration. Besides, it still kept high degradation in the existence of foreign interference. The electron spin resonance and quenching experiments indicated that both radical and non-radical species jointly contributed to the degradation of AOII. Finally, the bio-toxicity of solution was reduced after the reaction. Overall, this work provided an effective process for removing organic pollutants from the wastewater.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"162 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143367608","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}

引用次数: 0

Association between exposure to airborne endocrine disrupting chemicals and asthma in children or adolescents: A systematic review and meta-analysis

IF 7.6 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Pollution

Pub Date : 2025-02-08 DOI: 10.1016/j.envpol.2025.125830

Georges Hatem , Ana Margarida Faria , Mariana Bessa Pinto , João Paulo Teixeira , Amina Salamova , Carla Costa , Joana Madureira

Various studies have explored the association between Endocrine Disrupting Chemicals (EDCs) exposure and children's and adolescents' respiratory health, showing potential long-term effects and links to asthma. This systematic review explores the association between exposure to seven EDC groups during school age and adolescence and asthma onset or exacerbation while highlighting the predominant compounds underlying these potential associations. PubMed, Web of Science, Scopus, and Cochrane Library databases were searched with no time restriction. The risk of bias and heterogeneity across the included studies were assessed using the Newcastle Ottawa scale and I2 test, respectively. Pooled Odds Ratios (OR) and their 95% Confidence Intervals (CI) were calculated using the random effect model, and the quality of evidence for each outcome was measured using the GRADE approach. The review included 64851 children and adolescents from 61 observational studies, most with a low risk of bias in the studied domains. The pooled OR for asthma onset was significant for phthalates in dust samples (OR:1.21, CI:1.02; 1.44). Due to limited studies, the overall pooled effects for the other groups were not computed. Individual compounds demonstrating significant associations with asthma onset included airborne nickel (OR:1.10, CI:1.03; 1.18) and zinc (OR:1.13, CI:1.11; 1.15), urinary Bisphenol S (OR:1.40, CI:1.13; 1.73), Bisphenol A (OR:1.57, CI:1.02; 2.40) and arsenic (OR:2.08, CI:1.33; 3.26), and DiBP (OR:1.41, CI:1.08; 1.82), DEHP (OR:1.89, CI:1.00; 3.57), and TBOEP (OR:2.61, CI:1.08; 6.30) in the dust. Individual compounds with significant associations with greater asthma exacerbation odds comprised airborne nickel (OR:1.08, CI:1.01; 1.16) and zinc (OR:1.09, CI:1.01; 1.17), and urinary MEHHP (OR:1.24, CI:1.02; 1.51), MECPP (OR:1.30, CI:1.07; 1.57), MEOHP (OR:1.30, CI:1.09; 1.55), and MCOP (OR:1.32, CI:1.11; 1.57). Exposure to EDCs was significantly associated with asthma onset and exacerbation in children and adolescents, namely for phthalates, bisphenols A and S, arsenic, nickel, and zinc. Further research is recommended to focus on the impact of synergistic and co-exposure to other indoor air pollutants.

{"title":"Association between exposure to airborne endocrine disrupting chemicals and asthma in children or adolescents: A systematic review and meta-analysis","authors":"Georges Hatem , Ana Margarida Faria , Mariana Bessa Pinto , João Paulo Teixeira , Amina Salamova , Carla Costa , Joana Madureira","doi":"10.1016/j.envpol.2025.125830","DOIUrl":"10.1016/j.envpol.2025.125830","url":null,"abstract":"<div><div>Various studies have explored the association between Endocrine Disrupting Chemicals (EDCs) exposure and children's and adolescents' respiratory health, showing potential long-term effects and links to asthma. This systematic review explores the association between exposure to seven EDC groups during school age and adolescence and asthma onset or exacerbation while highlighting the predominant compounds underlying these potential associations. PubMed, Web of Science, Scopus, and Cochrane Library databases were searched with no time restriction. The risk of bias and heterogeneity across the included studies were assessed using the Newcastle Ottawa scale and I2 test, respectively. Pooled Odds Ratios (OR) and their 95% Confidence Intervals (CI) were calculated using the random effect model, and the quality of evidence for each outcome was measured using the GRADE approach. The review included 64851 children and adolescents from 61 observational studies, most with a low risk of bias in the studied domains. The pooled OR for asthma onset was significant for phthalates in dust samples (OR:1.21, CI:1.02; 1.44). Due to limited studies, the overall pooled effects for the other groups were not computed. Individual compounds demonstrating significant associations with asthma onset included airborne nickel (OR:1.10, CI:1.03; 1.18) and zinc (OR:1.13, CI:1.11; 1.15), urinary Bisphenol S (OR:1.40, CI:1.13; 1.73), Bisphenol A (OR:1.57, CI:1.02; 2.40) and arsenic (OR:2.08, CI:1.33; 3.26), and DiBP (OR:1.41, CI:1.08; 1.82), DEHP (OR:1.89, CI:1.00; 3.57), and TBOEP (OR:2.61, CI:1.08; 6.30) in the dust. Individual compounds with significant associations with greater asthma exacerbation odds comprised airborne nickel (OR:1.08, CI:1.01; 1.16) and zinc (OR:1.09, CI:1.01; 1.17), and urinary MEHHP (OR:1.24, CI:1.02; 1.51), MECPP (OR:1.30, CI:1.07; 1.57), MEOHP (OR:1.30, CI:1.09; 1.55), and MCOP (OR:1.32, CI:1.11; 1.57). Exposure to EDCs was significantly associated with asthma onset and exacerbation in children and adolescents, namely for phthalates, bisphenols A and S, arsenic, nickel, and zinc. Further research is recommended to focus on the impact of synergistic and co-exposure to other indoor air pollutants.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"369 ","pages":"Article 125830"},"PeriodicalIF":7.6,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143367661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

引用次数: 0

Effects of particle size, seasonal variation, and acid aging on the oxidative potential of urban and industrial airborne PM in Isfahan metropolis, Iran

IF 7.6 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Pollution

Pub Date : 2025-02-08 DOI: 10.1016/j.envpol.2025.125828

Mahdi Sadeghi , Nourollah Mirghaffari , Yaghoub Hajizadeh , Mohsen Soleimani

Air pollution from particulate matter (PM) presents significant global environmental and public health challenges. PM's oxidative potential (OP) is a critical indicator integrating biological and physicochemical characteristics. This study investigates the OP of PM across different size fractions (PM_2.5, PM_10, and total suspended particles (TSP)) in urban and industrial areas of Isfahan, Iran, focusing on the effects of acid aging and seasonal variation. The oxidative potential of 92 PM samples, comprising 54 urban and 38 industrial samples, was evaluated using the dithiothreitol assay (OP^DTT). The OP^DTT values (mean ± sd) for PM_2.5, PM₁₀, and TSP of urban areas were 2.4 ± 0.8, 1.8 ± 0.6, and 1.1 ± 0.2, respectively. Corresponding values for industrial areas were 2.6 ± 0.8, 1.8 ± 0.4, and 1.0 ± 0.4 nmol min⁻¹ m⁻³, respectively. Following exposure to nitric acid and sulfuric acid, the OP^DTT values of urban PM increased by 62% and 41%, while industrial PM showed increases of 108% and 80%, respectively. Seasonal analysis revealed higher OP^DTT values during warm months compared to cold months. Fine particles (PM_2.5) exhibited greater OP^DTT than coarse particles, particularly after acid aging. Furthermore, PM_2.5 from industrial areas displayed higher toxicity than urban areas, likely attributable to particle concentration and chemical composition differences. This study highlights the importance of PM characteristics and sources in particle toxicity enhanced by acid aging. These findings underscore the importance of addressing the chemical composition and environmental factors contributing to PM toxicity, especially during warm months.

{"title":"Effects of particle size, seasonal variation, and acid aging on the oxidative potential of urban and industrial airborne PM in Isfahan metropolis, Iran","authors":"Mahdi Sadeghi , Nourollah Mirghaffari , Yaghoub Hajizadeh , Mohsen Soleimani","doi":"10.1016/j.envpol.2025.125828","DOIUrl":"10.1016/j.envpol.2025.125828","url":null,"abstract":"<div><div>Air pollution from particulate matter (PM) presents significant global environmental and public health challenges. PM's oxidative potential (OP) is a critical indicator integrating biological and physicochemical characteristics. This study investigates the OP of PM across different size fractions (PM<sub>2.5</sub>, PM<sub>10,</sub> and total suspended particles (TSP)) in urban and industrial areas of Isfahan, Iran, focusing on the effects of acid aging and seasonal variation. The oxidative potential of 92 PM samples, comprising 54 urban and 38 industrial samples, was evaluated using the dithiothreitol assay (OP<sup>DTT</sup>). The OP<sup>DTT</sup> values (mean ± sd) for PM<sub>2.5</sub>, PM<sub>10</sub>, and TSP of urban areas were 2.4 ± 0.8, 1.8 ± 0.6, and 1.1 ± 0.2, respectively. Corresponding values for industrial areas were 2.6 ± 0.8, 1.8 ± 0.4, and 1.0 ± 0.4 nmol min<sup>−1</sup> m<sup>−3</sup>, respectively. Following exposure to nitric acid and sulfuric acid, the OP<sup>DTT</sup> values of urban PM increased by 62% and 41%, while industrial PM showed increases of 108% and 80%, respectively. Seasonal analysis revealed higher OP<sup>DTT</sup> values during warm months compared to cold months. Fine particles (PM<sub>2.5</sub>) exhibited greater OP<sup>DTT</sup> than coarse particles, particularly after acid aging. Furthermore, PM<sub>2.5</sub> from industrial areas displayed higher toxicity than urban areas, likely attributable to particle concentration and chemical composition differences. This study highlights the importance of PM characteristics and sources in particle toxicity enhanced by acid aging. These findings underscore the importance of addressing the chemical composition and environmental factors contributing to PM toxicity, especially during warm months.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"369 ","pages":"Article 125828"},"PeriodicalIF":7.6,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143367609","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}

引用次数: 0