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SSRN 2023年

作者： Sun, Yi-Lu Zhang, Xue-Ning Wang, Han-Lin Shao, Chen-Yang Zhuang, Wei-Qin Cheng, Hao-Yi Yang, Ji-Xian Wang, Ai-Jie Key Laboratory of Environmental Biotechnology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing100085 China State Key Laboratory of Urban Water Resource and Environment Harbin Institute of Technology Harbin150090 China Department of Civil and Environmental Engineering Faculty of Engineering The University of Auckland Auckland1010 New Zealand School of Civil and Environmental Engineering Harbin Institute of Technology Shenzhen Shenzhen518055 China

Elemental sulfur packed-bed (S0PB) bioreactors are increasingly employed for treating secondary effluents from wastewater treatment plants. The availability of inorganic nutrients, including ammonium, phosphate, and inorganic carbon, remains limited and significantly governs the growth of autotrophic microorganisms and the efficiency of denitrification. This study investigated the constraining thresholds of inorganic nutrients on the elemental sulfur autotrophic denitrification process. In any absence of ammonium, phosphate, and bicarbonate, the denitrification rate exhibited a decreasing pattern. Particularly, the ammonium assimilation process could be substituted by nitrate assimilation pathways, resulting in a 29.5% decline in denitrification efficiency when ammonium-N feed was reduced from 2.0 to 0 mg-N/L. However, the absence of phosphate-P and bicarbonate-C led to substantial drops in denitrification efficiency by 66.7% and 77.5%, respectively. This was primarily attributed to diminished biomass yield, manifested by reductions of 77.8–82.6% in ATP and 35.7–44.3% in protein content, along with a 12.4%–14.7% decrease in the relative abundances of the dominant sulfur-oxidizing bacteria. Through correlation analyses, specific thresholds concerning the desired nitrate removal amounts were established for ammonium-N, phosphate-P, and bicarbonate-C: 0.131, 0.053, and 0.597, respectively. These thresholds provided valuable guidance for modifying real-life wastewater using external supplementation when employing a pilot-scale S0PB bioreactor, leading to a notable improvement in denitrification efficiency. This study emphasizes the importance of considering the concentrations of inorganic nutrients in wastewater when deploying S0PB bioreactors, a context often overlooking potential negative impacts. © 2023, The Authors. All rights reserved.

关键词： Bioreactors

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Designing a Dual-Functional Ultrathin Zif-L@Go Adsorbent for Simultaneous Removal of Phosphate and Tetracycline Hydrochloride: Adsorption Capacity and Mechanism

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SSRN 2023年

作者： Zou, Xiyang Zhang, Haichuan Xiang, Li Huang, Chou Li, Ji Jiangsu Key Laboratory of Anaerobic Biotechnology School of Environment and Civil Engineering Jiangnan University Wuxi214122 China Jiangsu College of Water Treatment Technology Material Collaborative Innovation Center Suzhou215009 China

Inorganic phosphate and organic antibiotics, usually co-existing in wastewater, were difficult to simultaneously remove by common mono-functional adsorbents. In this work, by in-situ coating zeolitic imidazolate frameworks (ZIF-L) on graphene oxide (GO), a dual-functional ultrathin ZIF-L@GO-25 adsorbent was successfully prepared for efficient and simultaneous removal of phosphate and representative tetracycline hydrochloride (TC) from wastewater. ZIF-L@GO-25 exhibited maximum adsorption capacity for phosphate and TC respectively reached 116.3±2.1 mg g−1 and 338.6±6.7 mg g−1, benefiting abundant Zn-defect sites and dimethylimidazole rings exposed on its surface. Moreover, thanks to the specific innersphere complexation of Zn-defect/phosphate and π-π interaction between dimethylimidazole rings/TC molecules, >95% removal efficiencies were achieved when the concentration of five competitive matters (Cl−, NO3−, SO42−, CO32− and humic acid) were 10 times that of phosphate/TC. Even with the binary pollutants co-existing system, only ~3% removal decreases occurred on both phosphate and TC. Thus, this work proposed a novel preparation method of developing ZIF-based composite adsorbents for the deep treatment of actual phosphate/antibiotics-polluted wastewater. © 2023, The Authors. All rights reserved.

关键词： Adsorption

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Engineered (110) Phase Induced Flame-Made Tio2 for Efficient Photocatalytic Degradation of Organic Dyes

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SSRN 2024年

作者： Sarkodie, Bismark Saty, Malik Yonis Hassan Asinyo, Benjamin K. Liu, Haijin Xu, Changhai Quan, Feng Hu, Yanjie Anhui Polytechnic University China Qingdao University China School of Environment Henan Normal University Key Laboratory for Yellow River and Huaihe River Water Environment and Pollution Control Ministry of Education Henan Key Laboratory for Environmental Pollution Control Xinxiang453007 China Kwame Nkrumah University of Science and Technology Private Mail Bag Kumasi Ghana School of Textiles and Garment Anhui Polytechnic University Anhui Wuhu China School of Materials Science and Engineering East China University of Science and Technology Shanghai China

Flame spray pyrolysis is a quick fabrication technique that presents unique and better option for the synthesis of nanomaterials within a short time at a large scale. Herein, TiO2 nanoparticles produced using flame spray pyrolysis were engineered into (110) phase induced-TiO2 via calcination for photocatalytic degradation of methylene blue (MB) and Rhodamine B (RhB). The characterization results show that (110) phased induced flame-made TiO2 nanoparticles (TiO2-FSP) had good dispersion and abundant vacancy defect, with concomitant large surface area, good light adsorption property and lower band gap than conventional hydrothermally fabricated TiO2 (TiO2-HT). The TiO2-FSP exhibits complete degradation of highly concentrated MB and RhB dye molecules within 10 min. The reaction rate of TiO2-FSP was about 12-21 times greater than that of TiO2-HT. The superior performance was assigned to the high vacancy defect that led to a lower bandgap, large surface area, enhanced electron transfer and good charge separation. The superoxide and holes were identified as the major active radicals for MB and RhB degradation, respectively. Additionally, TiO2-FSP obtained good recyclability over 5 runs. This study provides a platform for the extensive use of flame spray pyrolysis strategy in the production of simple, cheap, unique, and novel catalysts for water treatment. © 2024, The Authors. All rights reserved.

关键词： Spray pyrolysis

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Role of Bp-Ann in Simulating Greenhouse Gas Emissions from Global Aquatic Ecosystems Via Carbon Component-environmental Factor Coupling

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SSRN 2024年

作者： Liu, Jiayuan Bianhe, Lu Liu, Yuhong Wang, Lixin Liu, Fude Chen, Yixue Mustafa, Ghulam Qin, Zhirui Lv, Chaoqun Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes Ministry of Education Hohai University Nanjing210098 China College of Environment Hohai University Nanjing210098 China College of Ecology and Environment Inner Mongolia University Hohhot010021 China Tianjin Key Laboratory of Hazardous Waste Safety Disposal and Recycling Technology School of Environmental Science and Safety Engineering Tianjin University of Technology Tianjin300384 China Department of Ecology Evolution and Organismal Biology Iowa State University IA50011 United States

Inland waters (IW), estuarine areas (EA), and offshore areas (OA) function as aquatic systems in which the transport of carbon components results in the release of greenhouse gases (GHGs). Interconnected subsystems exhibit a greater greenhouse effect than individual systems. Despite this, there is a lack of research on how carbon loading and its components impact GHG emissions in various aquatic systems. In this study, we analyzed 430 aquatic sites to explore tradeoff mechanisms among dissolved organic carbon (DOC), particulate organic carbon, dissolved inorganic carbon (DIC), and GHGs. The findings revealed that IW emerged as the most significant GHG source, possessing a comprehensive global warming potential (GWP) of 0.78±0.08 (10-2 Pg CO2 -ep ha-1 year-1) for combined carbon dioxide, methane, and nitrous oxide. This surpassed the cumulative potentials of EA and OA (0.35 ± 0.05 (10-2 Pg CO2 -ep ha-1 year-1)). Additionally, structural equation modeling indicated that GHG emissions resulted from a combination of carbon component loading and environmental factors. DOC exhibited a positive correlation with GWPs when influenced by biodegradable DOC. Total alkalinity and pH influenced DIC, leading to elevated pCO2 in aquatic systems, thereby enhancing GWPs. Predictive modeling using backpropagation artificial neural networks (BP-ANN) for GWPs, incorporating carbon components and environmental factors, demonstrated a good fit between observed and predicted values. Enhancing the estimation of aquatic region feedback to GHG changes was achieved by incorporating corresponding water quality parameters. In summary, this study underscores the pivotal role of carbon components and environmental factors in aquatic regions for GHG emissions. The application of BP-ANN to estimate greenhouse effects from aquatic regions is highlighted, providing theoretical and experimental support for future advancements in monitoring and modeling the impact of water quality on GHG emissions. © 20

关键词： Greenhouse gases

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A specific model of resting-state functional brain network in MRI-negative temporal lobe epilepsy

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Heliyon 2025年第4期11卷 e42695页

作者： Yang, Xue Ge, Manling Chen, Shenghua Wang, Kaiwei Cheng, Hao Zhang, Zhiqiang School of Life Science and Health Engineering Hebei University of Technology Tianjin China Hebei Province Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability Hebei University of Technology Tianjin China Department of Medical Imaging Clinical School of Nanjing University School of Medicine (affiliated to Jinling Hospital) Nanjing China

Purpose: Without any visible indicator on structure magnetic resonance imaging (MRI), the diagnosis of MRI-negative temporal lobe epilepsy (NTLE) gets harder. By considering healthy control (HC), a specific functional connectivity (FC) model was constructed in a network topology to improve FC computation to a high-level. Methods: MRI data of 20 NTLE patients and 60 HC were pre-processed. Relative to HC, a network-level specific FC model of each network index was built to score the network functions for each NTLE patient. The specific brain areas (regarded as ROIs) were extracted for NTLE by sensitivity analysis of scores. By considering scores of specific ROIs as feature vectors to input into a SVM respectively, a specific NTLE classifier was constructed. Both 10-fold cross validation and hold-out method were utilized to validate the classification and to evaluate the effectiveness of our specific FC models. Simultaneously, the specific FC model was compared to the conventional FC model of Pearson correlation. Results: By the constructed model for specific FC at a network-level, 11 specific ROIs, such as, frontal lobe, temporal lobe, parietal lobe, hippocampus, and occipital lobe, were extracted for NTLE. Accuracy of our specific NTLE classifier could reach up nearly 93 %, over 6 % greater than conventional FC model of Pearson correlation. Conclusions: The network-level specific FC model might provide a new methodology for machine-aiding detection of functional abnormal lesions of NTLE by resting-state functional MRI. © 2025

关键词： Functional brain network Machine learning MRI-negative temporal lobe epilepsy Resting-state fMRI Specific FC model

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A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions:A case study in the Pearl River Delta,China

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Journal of environmental Sciences 2022年第4期34卷 233-248页

作者： Guanglin Jia Zhijiong Huang Xiao Tang Jiamin Ou Menghua Lu Yuanqian Xu Zhuangmin Zhong Qing’e Sha Huangjian Wu Chuanzeng Zheng Tao Deng Duohong Chen Min He Junyu Zheng School of Environment and Energy South China University of TechnologyUniversity Town CampusGuangzhou 510006China Institute for Environmental and Climate Research Jinan UniversityGuangzhou 511486China Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China Faculty of Social and Behavioural Sciences Utrecht UniversityUtrechtCH 3584the Netherlands Guangzhou Institute of Tropical and Marine Meteorology China Meteorological AdministrationGuangzhou 510640China State Environmental Protection Key Laboratory of Regional Air Quality Monitoring Guangdong Environmental Monitoring CenterGuangzhou 510308China Department of Environmental Science and Engineering College of Architecture and EnvironmentSichuan UniversityChengdu 610065China

The conventional Ensemble Kalman filter(EnKF),which is now widely used to calibrate emission inventories and to improve air quality simulations,is susceptible to simulation errors of meteorological inputs,making accurate updates of high temporal-resolution emission inventories *** this study,we developed a novel meteorologically adjusted inversion method(MAEInv)based on the EnKF to improve daily emission *** new method combines sensitivity analysis and bias correction to alleviate the inversion biases caused by errors of meteorological *** demonstration,we used the MAEInv to inverse daily carbon monoxide(CO)emissions in the Pearl River Delta(PRD)region,*** the case study,60%of the total CO simulation biases were associated with sensitive meteorological inputs,which would lead to the overestimation of daily variations of posterior *** the new inversion method,daily variations of emissions shrank dramatically,with the percentage change decreased by 30%.Also,the total amount of posterior CO emissions estimated by the MAEInv decreased by 14%,indicating that posterior CO emissions might be overestimated using the conventional *** evaluations using independent observations revealed that daily CO emissions estimated by MAEInv better reproduce the magnitude and temporal patterns of ambient CO concentration,with a higher correlation coefficient(R,+37.0%)and lower normalized mean bias(NMB,-17.9%).Since errors of meteorological inputs are major sources of simulation biases for both low-reactive and reactive pollutants,the MAEInv is also applicable to improve the daily emission inversions of reactive pollutants.

关键词： Emission inversion Daily emissions Meteorological adjustment Ensemble Kalman filter

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Coupled thermomechanical analysis of stress distributions in a ceramic matrix composites turbine vane considering the anisotropic properties 9

Coupled thermomechanical analysis of stress distributions in...

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9th Global Conference on Materials Science and engineering, CMSE 2020

作者： Fang, G.W. Gao, X.G. Song, Y.D. School of Mechanical Engineering Anhui University of Technology Ma'anshan243002 China Key Laboratory of Aero-engine Thermal Environment and Structure Ministry of Industry and Information Technology Nanjing University of Aeronautics and Astronautics Nanjing210016 China

The prediction of the stress distribution plays a key role when replacing conventional metallic components with ceramic matrix composites (CMCs) ones in the turbine engine. Furthermore, the complete thermal-mechanical properties of a CMCs component cannot be obtained through experimentation. Accordingly, a numerical method to calculate the thermal-mechanical properties of a CMCs component should be established. In this work, a 3D finite element model of CMCs turbine vane was applied. Then, the stresses due to thermal and pressure loads were simulated. Based on the simulation results, the maximum thermal residual stresses are about 40MPa and occur at the surface of the vane. It can be concluded that the thermal residual stresses should not be neglected for the studied CMCs turbine vane. The load cases have significant effects on the stress distributions. The maximum spanwise stress reached the level of 300MPa and it was larger than the hoop stress and through thickness stress. The locations of maximum and minimum stresses also vary with load cases. © Published under licence by IOP Publishing Ltd.

关键词： Ceramic matrix composites

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System Dynamics Modelling for Evaluating Permafrost environment Along Chai-Mu Railway, China

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SSRN 2024年

作者： Ye, Yi-Ning Chou, Ya-Ling Cao, Wei Xu, Jia-Wei Wang, Ai-Jun School of Civil Engineering Lanzhou University of Technology Lanzhou730050 China School of Spatial Planning and Design Hangzhou City University Hangzhou310015 China State Key Laboratory of Frozen Soil Engineering Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou730000 China

As the concept of sustainable development continues to evolve, the changes in permafrost environment under the influence of engineering construction and climate change have received more and more attention from scholars at home and abroad. Herein, to solve the dependence of each index on time and complexity of the interactions among factors in permafrost environment system, an assessment model based on system dynamics (SD), DPSRC, entropy method and AHP method was proposed. Firstly, the regional permafrost environment system was divided into thermal stability, ecological fragility, and freezing-thawing erosion sensitivity subsystems according to its properties. Subsequently, the expression of permafrost environment assessment was defined and utilized to ensure consistency in assessment objectives. Ultimately, using Vensim to analyze the loop structure of permafrost environment influenced by climate change (CC), engineering construction (EC), and artificial prevention measures (APM), then a stock-flow diagram was established on this basis to conduct validity test and scenarios simulation. This paper took the Chai-Mu Railway as the research section and set whether to use artificial prevention measures (APM) as the simulation condition to obtain the regional permafrost environment assessment under different scenarios. The assessment results show that artificial prevention measures (APM) were necessary for regional permafrost environment affected by climate change (CC) and engineering construction (EC). Among artificial prevention measures (APM), special subgrade (thermosyphon subgrade) treatment was more effective than ecological protection investment. The model is objective and reliable, and can provide a basis for the protection and management of permafrost environment in railway areas in the future. © 2024, The Authors. All rights reserved.

关键词： System theory

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Analysis of User Attention Behavior and Its Driving Factors on WeChat Public Platform

Analysis of User Attention Behavior and Its Driving Factors ...

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Algorithms, Computing and Artificial Intelligence (ACAI), International Conference on

作者： Shu Yang Weilu Hu Qanguo Kang Li Zhou Jiewei Yi Hubei Key Laboratory of Resources and Eco-Environment Geology Hubei Institute of Geoscience (Hubei Selenium Industrial Research Institute) WuHan China WSGRI Engineering & Surveying Incorporation Limited Wuhan WSGRI Smart City(Wuhan) Engineering Technology Co. Ltd. Wuhan WuHan China

ISBN: (数字)9798331529314

ISBN: (纸本)9798331529321

In recent years, with the development of new media, such as WeChat Public Platform and Tiktok have become an important source of news and knowledge for the public. All kinds of official account have sprung up one after another. How to operate them to attract more public attention, so as to better serve the science popularization and knowledge dissemination of public welfare units, is the problem faced at this stage. This paper takes the WeChat Public Platform of Hubei Institute of Geoscience as an example, based on the data of the platform, uses XGBoost algorithm to evaluate the factors that attract the public and analyze the driving factors of their attention behavior from several aspects, such as the number of posts, article types, layout design and interaction. The following conclusions can be drawn: ① The public attention behavior factor evaluation model based on XGBoost algorithm integrates machine learning technology and data mining ideas and achieves good evaluation results; ② According to the ranking of feature importance, the type of article has the greatest impact on public attention behavior, followed by interactivity the evaluation results show that the contents of the WeChat public platform of the Hubei Institute of Geoscience involve popular geological knowledge, the latest research results, project activities and other contents, taking into account the booking consultation and link functions of the Hubei Geological Museum, which can effectively serve the public. The research results provide decision-making basis for the next operation of the public platform.

关键词： Video on demand Machine learning algorithms Social networking (online) Geology Layout Machine learning Media Message services Museums Web sites

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Breaking the Activity-Stability Trade-Off of RuO2 via Metallic Ru Bilateral Regulation for Acidic Oxygen Evolution Reaction

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Angewandte Chemie - International Edition 2025年第0期 e202503733页

作者： Lu, Qian Liu, Jinjie Zou, Xiaohong Huang, Birou Wu, Weixing Yin, Jun Liu, Zhao-Qing Wang, Ying Department of Chemistry The Chinese University of Hong Kong Ma Lin building Shatin 999077 N.T. Hong Kong Department of Applied Physics The Hong Kong Polytechnic University Kowloon 999077 N.T. Hong Kong Department of Mechanical Engineering The Hong Kong Polytechnic University Kowloon 999077 N.T. Hong Kong School of Chemistry and Chemical Engineering/Institute of Clean Energy and Materials/Key Laboratory for Clean Energy and Materials Guangzhou University Guangzhou510006 China School of Environmental Science and Technology Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Nanjing University of Information Science and Technology Nanjing210044 China

Developing highly efficient acidic oxygen evolution reaction (OER) electrocatalysts is crucial for proton exchange membrane water electrolyzer. RuO2 electrocatalysts, which followed a kinetically favorable lattice oxygen mechanism, perform a preferable intrinsic activity, but poor stability for acidic OER. Recent work often sacrifices the intrinsic activity of RuO2 to enhance stability. The balance between the activity and stability of RuO2-based catalysts is still overlooked in current research. Here, we report a controlled method to introduce metallic Ru onto RuO2 catalysts to form the Ru4+─O─Ru0 interfacial structure for decreasing the Ru4+ oxidation state and promoting deprotonation kinetics. Metallic Ru can serve as the electron donor to lower the oxidation state of *Vo-RuO42− in Ru/RuO2 for stabilizing the structure of *Vo-RuO42−-Ru/RuO2 to favour the acidic OER stability. Moreover, the deprotonation kinetics via the interfacial oxygen site between Ru4+ and Ru0 is significantly enhanced on Ru/RuO2 catalysts to improve the acidic OER activity. This work offers a unique perspective to balance the acidic OER activity and stability of RuO2. © 2025 The Author(s). Angewandte Chemie International Edition published by Wiley-VCH GmbH.

关键词： Deprotonation

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