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Volatile Organic Compound Emissions from Polluted and Natural Soils: Influences of environmental Factors

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ACS ES&T Air

ACS ES&T Air 2025年第3期2卷 386-395页

作者： Yaxi Liu Jianhuai Ye Yan Yang Chen Yu Fan Yang Bi Chen Jianguo Zhou Gan Yang Xinning Wang Xiaohui Lu Jianmin Chen Zimeng Wang Lin Wang Xiaofei Wang Xin Yang Department of Resource and Environment Moutai Institute Renhuai 564507 China；Chishui River Middle Basin Watershed ecosystem Observation and Research Station of Guizhou Province Renhuai 564501 China；Department of Environmental Science and Engineering Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3) Fudan University Shanghai 200438 China；Academy of Science and Technology Kweichow Moutai Group Renhuai 564501 China Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen 518055 China；Guangdong Provincial Observation and Research Station for Coastal Atmosphere and Climate of the Greater Bay Area Shenzhen 518055 China Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen 518055 China Department of Resource and Environment Moutai Institute Renhuai 564507 China；Chishui River Middle Basin Watershed ecosystem Observation and Research Station of Guizhou Province Renhuai 564501 China Chishui River Middle Basin Watershed ecosystem Observation and Research Station of Guizhou Province Renhuai 564501 China；Academy of Science and Technology Kweichow Moutai Group Renhuai 564501 China Department of Environmental Science and Engineering Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3) Fudan University Shanghai 200438 China

Volatile organic compounds (VOCs) impact urban air quality and human health. Soil represents a potentially important source of VOCs. However, the VOC emission characteristics of soils from different urban and natural environments remain unclear. In this study, the composition and flux of VOCs emitted from various soil types were examined. Results reveal significantly elevated VOC emissions from polluted soils, with levels 2 orders of magnitude higher than those from their natural counterparts. Influences of light, soil water content, and temperature on VOC emissions were explored. Light exposure notably enhanced the emissions of certain VOCs, such as acetonitrile, from highly polluted industrial soils. Simultaneously, reductions in VOCs such as terpenes were observed, possibly driven by photochemical degradation processes. By comparison, soils from less polluted environments exhibited minimal changes in VOC emissions under light exposure, emphasizing the distinct behaviors of different soil types. Soil water content was inversely correlated with VOC emission rates, likely due to reduced soil porosity and permeability at higher moisture levels, whereas temperature exhibited intricate effects on soil emissions that varied with VOC species. Factors such as soil VOC storage, VOC “affinity” to soil, and microbial activities may play roles and warrant future investigation. Results from this study highlight soil emissions as non-negligible contributors to ambient VOC levels and underscore the crucial impacts of environmental factors in modulating these emissions.

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Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms

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Geoscience Frontiers 2021年第1期12卷 441-452页

作者： Pin Zhang Zhen-Yu Yin Yin-Fu Jin Tommy HTChan Fu-Ping Gao Department of Civil and Environmental Engineering The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina School of Civil Engineering&Built Environment Science and Engineering FacultyQueensland University of Technology(QUT)BrisbaneQld4001Australia Key Laboratory for Mechanics in Fluid Solid Coupling Systems Institute of MechanicsChinese Academy of SciencesBeijing100190China China School of Engineering Science University of Chinese Academy of SciencesBeijing100049China

Compression index Ccis an essential parameter in geotechnical design for which the effectiveness of correlation is still a *** paper suggests a novel modelling approach using machine learning(ML)*** performance of five commonly used machine learning(ML)algorithms,***-propagation neural network(BPNN),extreme learning machine(ELM),support vector machine(SVM),random forest(RF)and evolutionary polynomial regression(EPR)in predicting Cc is comprehensively investigated.A database with a total number of 311 datasets including three input variables,*** void ratio e0,liquid limit water content wL,plasticity index Ip,and one output variable Cc is first *** algorithm(GA)is used to optimize the hyper-parameters in five ML algorithms,and the average prediction error for the 10-fold cross-validation(CV)sets is set as thefitness function in the GA for enhancing the robustness of ML *** results indicate that ML models outperform empirical prediction formulations with lower prediction *** yields the lowest error followed by BPNN,ELM,EPR and *** the ranges of input variables in the database are large enough,BPNN and RF models are recommended to predict ***,if the distribution of input variables is continuous,RF model is the best ***,EPR model is recommended if the ranges of input variables are *** predicted correlations between input and output variables using five ML models show great agreement with the physical explanation.

关键词： Compressibility Clays Machine learning Optimization Random forest Genetic algorithm

Influence of Applied Tensile/Compressive Stress on He-Irradiated SiC: Examining Defect Evolution Through Experimental Investigation and DFT Simulations

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SSRN 2024年

作者： Liu, Chun Daghbouj, Nabil Zhang, Chao Wu, Zhongzheng Cheng, Wei Polcar, Tomas Li, Bingsheng School of Materials Science and Engineering Anhui University of Science and Technology Huainan232001 China Department of Control Engineering Faculty of Electrical Engineering Czech Technical University in Prague Technická Prague 6216000 Czech Republic State Key Laboratory for Environment Friendly Energy Materials Southwest University of Science and Technology Mianyang621010 China College of Nuclear Science and Technology Beijing Normal University Beijing100875 China

In reactor environments, structural materials experience mechanical strain, and understanding how this strain affects defect generation is crucial for predicting microstructural evolution and damage accumulation. A study on He irradiation into SiC at 750°C (1 x 1017 He/cm2) demonstrated that platelet formation is dependent on strain. Tensile stress promotes platelet growth, while compression slows it down. Density functional theory (DFT) simulations confirmed that under tensile strain, carbon vacancies (Cv) and He atoms have low energy barriers for migration, facilitating platelet growth in line with experimental observations. This research has significant implications for SiC applications in nuclear structural materials, where it is important to avoid tensile strain. However, in the context of semiconductor thin film transfer (Smart-cut), He implantation under tensile stress can be advantageous, as it allows for lower He fluence and reduces the cost of the operation. © 2024, The Authors. All rights reserved.

关键词： Silicon carbide

Efficiency Of Talcum-Biochars To Mitigate Heavy Metals and Growth Of Brassica Chinensis In Contaminated Agricultural Soil

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SSRN 2024年

作者： Lyu, Hao-Hao Cheng, Kai He, Li-Li Yang, Sheng-Mao Liu, Yu-Xue You, Ling-Cong Wang, Yu-Ying State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products Institute of Environment Resource Soil and Fertilizer Zhejiang Academy of Agricultural Sciences Hangzhou310021 China Engineering Research Center of Biochar of Zhejiang Province Hangzhou310021 China College of Resource and Environment Anhui Science and Technology University Chuzhou310014 China

Soil contamination with multiple heavy metals poses a significant threat to the global environment. This study aimed to evaluate the ability of a novel talcum-modified biochar as a soil amendment to improve soil properties and remediation performance in agricultural soils contaminated with various heavy metals. The talcum-biochar composites exhibited superior immobilization efficacy for multiple heavy metals compared to pristine biochar. CaCl2-heavy metal contents decreased under the treatment with talcum-biochar, in contrast to the control. Sequential extraction procedures revealed that the more accessible forms of heavy metals were converted into less accessible forms. The application of talcum-biochar reduced the Cu, Zn, Cr, and Cd concentrations in Brassica chinensis, potentially due to a decrease in their bioavailability in the soil. Following the addition of talcum-biochar composites, increases in soil pH, available P and K levels, total N content, and organic matter concentrations were observed. Additionally, a significant enhancement in catalase and urease activities was noted, whereas acid phosphatase activity was inhibited. The Cd content in B. chinensis and available Cd in the soil had a highly significant positive correlation with pH, physicochemical properties, soil enzyme activities, and the quantity of talcum added to the talcum-biochar composites. Therefore, the utilization of talcum-biochar composites as amendments has great potential for enhancing the soil environment and remediating multiple heavy metal-contaminated soils, making it an eco-friendly and cost-effective approach. © 2024, The Authors. All rights reserved.

关键词： Cost effectiveness

Temperature-Controlled Tunable Zigzag Metamaterial Beams to Manipulate Flexural Waves

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SSRN 2023年

作者： Zhang, Xuebin Li, Kangling Li, Lin Gao, Xia Zhang, Jun Hu, Ning Zhang, Chuanzeng College of Aerospace Engineering Chongqing University Chongqing400044 China Chongqing Institute of Green and Intelligent Technology Chinese Academy of Sciences Chongqing400714 China Chongqing Key Laboratory of Heterogeneous Material Mechanics Chongqing University Chongqing400044 China Department of Civil Engineering University of Siegen SiegenD-57068 Germany State Key Laboratory of Reliability and Intelligence Electrical Equipment Hebei University of Technology Tianjin300130 China National Engineering Research Center for Technological Innovation Method and Tool School of Mechanical Engineering Hebei University of Technology Tianjin300401 China

The study of artificially structured materials to control waves is ongoing, owing to their unprecedented properties. However, their narrow working frequency ranges significantly hinder their applications. In this study, a kind of tunable zigzag metamaterial beams with wider working frequency ranges are proposed by incorporating springs and damping elements into our previously proposed pure zigzag beams. The complex band structures of these tunable zigzag metamaterial beams are characterized by the spectral element method (SEM), and a parametric analysis of spring rigidity and damping is conducted. The results show that the full stopbands of our tunable zigzag metamaterial beams are highly sensitive to spring rigidity, which confirms their good tunability. Actuators serving as spring and damping elements are then designed and 3D printed using a thermally sensitive material, VeroPureWhite. The actuators are glued to pure zigzag aluminum beams to generate integrated tunable zigzag metamaterial beams. The transmission spectra are measured for the integrated tunable zigzag metamaterial beams under several thermal loading cycles. Both the numerical and experimental results demonstrate the wide tunability of our proposed tunable metamaterial beams. © 2023, The Authors. All rights reserved.

关键词： Metamaterials

The novel biochar-based organic semiconductor toward broadband and direct radicals transfer enhanced photocatalytic degradations

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Journal of environmental Management 2025年 386卷 125689页

作者： Wang, Yuchen Pan, Qianqian Cai, Songlin Liang, Liwei Chen, Liangsheng Zhang, Ruirui Liu, Liu Yin, Yanzhen Yang, Tao Zhu, Hongxiang Liu, Tao School of Resources Environment and Materials School of Light Industry Technology and Engineering Guangxi University Nanning530004 China Guangxi Key Laboratory of Green Chemical Materials and Safety Technology Beibu Gulf University Qinzhou535000 China Guangxi Liuzhou Luosifen Research Center of Engineering Technology College of Biological and Chemical Engineering Guangxi University of Science and Technology Liuzhou545006 China Centre for Mechanical Technology and Automation Department of Mechanical Engineering University of Aveiro Aveiro3810-193 Portugal

Organic semiconductor materials manifest themselves as fascinating light absorbers and high-speed carrier transport for applications in photocatalytic degradation and solar energy harvesting. The essential challenges lie in harvesting the complex synthesis processes and poor recyclability. To this end, a synergistic deposition strategy utilizing organic semiconductor materials extracted from discarded solar cells and natural adsorbent biochar has been proposed to mitigate these two challenges. Specifically, by utilizing impregnation method, we successfully constructed the D-A heterojunction organic semiconductor photocatalytic materials on the surface of biochar. Organic photocatalytic materials, PCE10:PC71BM, has the wide absorption spectrum within the range of 400–800 nm, which allows for the massive generation of electrons and holes for photoreactions under illumination. Hence, such catalyzer can completely remove Malachite Green at a concentration of 80 mg/L within 15 min under weaken light condition (30 mW/cm2) due to the utilization of light energy by the organic semiconductor material to generate a large number of radicals with strong redox properties (Such as h+/·OH/·O2−/1O2), which ultimately degrade the pollutants into non-toxic and harmless small molecules. © 2025 Elsevier Ltd

关键词： Carrier transport

Elucidating Applied Voltage on the Fate of Antibiotic Resistance Genes in Microbial Electrolysis Cell: Focusing on its Transmission between Anolyte and Biofilm Microbes

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SSRN 2023年

作者： Liu, Shiguang Zhang, Zengshuai Gu, Peng Yang, Kunlun Huang, Xin Li, Manman Miao, Hengfeng School of Environment and Civil Engineering Jiangnan University Jiangsu Wuxi214122 China Jiangsu Key Laboratory of Anaerobic Biotechnology Jiangnan University Wuxi214122 China Jiangsu Engineering Laboratory of Biomass Energy and Carbon Reduction Technology Jiangnan University Wuxi214122 China Water Treatment Technology and Material Innovation Center Suzhou University of Science and Technology Suzhou215009 China

Microbial electrolysis cell (MEC) system to treat wastewater containing antibiotics has been researched actively in past years. However, the fate of antibiotic resistant genes (ARGs) in MEC is not fully revealed. The effect of applied voltage on the migration of ARGs between anolyte and biofilm microbes via examining the microbial physiology and abundances of macrolide resistance genes (MRGs) and mobile genetic elements (MGEs) was elucidated in this research. Results showed that the abundance of MRGs and MGEs was decreased in the anolyte, but the abundance of MRGs and MGEs was increased on the electrode biofilm, indicating their transmission from anolyte to biofilm microbes. Increased applied voltage enhanced adenosine triphosphate (ATP), reactive oxygen species (ROS), and cell membrane permeability of electrode microorganisms. The structure of the electrode microbial community was shifted through applied voltage, and the abundance of electroactive microorganisms (Geobacter, Azospirillum and Dechlorobacter) was significantly improved. Network analysis revealed that Geobacter and Geothrix were potential hosts for MRGs. Therefore, the horizontal and vertical gene transfer of ARGs could be increased by the applied voltage, leading to the enriched ARGs at the electrode biofilm. This study provides evidence and insights into the transmission of ARGs between anolyte and biofilm microbes. © 2023, The Authors. All rights reserved.

关键词： Biofilms

Quantifying regional transport contributions to PM2.5-bound trace elements in a southeast coastal island of China: Insights from a machine learning approach

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environmental Pollution 2025年 377卷 126448页

作者： Chen, Naihua You, Jianyong Lin, Qing Zhang, Limei Zeng, Zhiwei Gao, Yue Zeng, Jinfeng Hu, Baoye Yang, Yuxiang College of Chemistry Chemical Engineering and Environment Minnan Normal University Zhangzhou363000 China Pingtan Environmental Monitoring Center of Fujian Pingtan350400 China Fujian Provincial Key Laboratory of Modern Analytical Science and Separation Technology Minnan Normal University Zhangzhou363000 China Fujian Province University Key Laboratory of Pollution Monitoring and Control Minnan Normal University Zhangzhou363000 China

Identifying and quantifying pollution sources and their associated health risks are essential for formulating effective pollution control policies. This study analyzed PM2.5-bound trace elements based on one year of sampling data collected from a low-PM2.5 island in southeastern coastal China. A de-weathered model based on the eXtreme Gradient Boosting (XGBoost) algorithm was applied to remove meteorological influences and estimate local baseline pollutant concentrations. By combining backward air mass trajectories with de-weathered concentrations, we quantified the variation in transport contributions among different trajectory types. Results indicated that meteorological factors reduced PM2.5 and anthropogenic trace element concentrations by 36.7 %–58.4 % in summer, but increased them by 6.4 %–26.0 % in winter. In contrast, elements related to shipping emissions showed an opposite trend. Positive matrix factorization (PMF) identified industrial and shipping emissions as the two main sources of trace elements, originating from distinct regions. Shipping emissions contributed greatly health risks in summer, while industrial emissions dominated in other seasons. The non-carcinogenic risk (NCR) remained within acceptable levels, whereas carcinogenic risks (CR) exceeded recommended thresholds. Marine airflows (MA), inland airflows (IA), and local airflows (LA) altered trace element concentrations by −3.7 %, +6.4 %, and −5.4 %, respectively. These airflow types changed NCR by −16.4 %, +8.2 %, and −13.5 %, and CR by −4.1 %, +4.7 %, and −28.9 %, respectively. These findings underscore the substantial impact of regional transport on trace elements and the critical need for coordinated regional air quality management, offering new insights into pollutant sources and their associated health risks in relatively less polluted coastal regions. © 2025 Elsevier Ltd

关键词： Health risks

Stabilizing Zn Anodes by Constructing Pegma-Based Protecting Layers for High-Performance Zinc-Ion Batteries

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SSRN 2022年

作者： Huang, Bingkun Song, Jisheng Kimura, Hideo Li, YingFan Xu, Yinyingjie Yang, Kunjie Cui, Mangwei Du, Lingyu Kang, Litao College of Environment and Materials Engineering Yantai University Yantai264005 China Shenzhen Key Laboratory of Flexible Printed Electronics Technology Center School of Materials Science and Engineering Harbin Institute of Technology Shenzhen China

As a potential candidate of grid-scale energy storage technologies, rechargeable aqueous zinc-ion batteries (ZIBs) exhibit multifaceted merits including low cost, high safety, and decent eco-benignity. However, the Zn metal anode still suffers from severe dendrite and corrosion issues, which severely restrict the practical application of ZIBs. Herein, we report a dense and uniform poly (ethylene glycol methyl ether methacrylate) (PEGMA)-based artificial protecting layer to alleviate these issues, by preventing the direct electrolyte/Zn anode contact while guiding the uniform migration of Zn2+ ions. Thanks to these merits, the cycling stability and Coulombic efficiencies (CEs) of Zn||Zn symmetric cells are remarkably improved from 248 h up to 1096 h (at 1 mA cm-2 and 1 mAh cm-2), and from 85.9% to 99.1%, respectively. Furthermore, the potential application of this strategy is further demonstrated in Zn||iodine (I2) full batteries. Compared with the Bare-Zn||I2 batteries, the PEGMA-Zn||I2 full batteries deliver better CEs (99.5% vs. 99.3% in average at 0.2 A g-1), cycling durability (capacity retention: 89.0% vs. 74.7% after 4000 cycles at 1 A g-1) and shelf life (capacity retention: 78% vs. 71% after 50 h static resting), underscoring the viability of this strategy in high-performance aqueous Zn-ion batteries. © 2022, The Authors. All rights reserved.

关键词： Anodes