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Effect of Cu-ZSM-5 catalysts with different CuO particle size on selective catalytic oxidation of N,N-Dimethylformamide

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Frontiers of environmental science & engineering 2022年第10期16卷 1-10页

作者： Xin Xing Na Li Dandan Liu Jie Cheng Zhengping Hao College of Environmental Science and Engineering Taiyuan University of Science and TechnologyTaiyuan 030024China National Engineering Laboratory for VOCs Pollution Control Material&Technology Research Center for Environmental Material and Pollution Control TechnologyUniversity of Chinese Academy of SciencesBeijing 101408China

N,N-Dimethylformamide(DMF),a nitrogen-containing volatile organic compound(NVOC)with high emissions from the spray industry,has attracted increasing *** this study,Cu-ZSM-5 catalysts with different CuO particle sizes of 3,6,9 and 12 nm were synthesized and tested for DMF selective catalytic *** crystal structure and physicochemical properties of the catalyst were studied by various characterization *** catalytic activity increases with increasing CuO particle size,and complete conversion can be achieved at 300-350℃.The Cu-12 nm catalyst has the highest catalytic activity and can achieve complete conversion at 300℃.The Cu-6 nm sample has the highest N_(2)selectivity at lower temperatures,reaching 95%at 300℃.The activity of the catalysts is determined by the surface CuO cluster species,the bulk CuO species and the chemisorbed surface oxygen *** high N_(2)selectivity of the catalyst is attributed to the ratio of isolated Cu2+and bulk CuO species,and weak acidity is beneficial to the formation of N_(2).The results in this work will provide a new design of NVOC catalytic oxidation catalysts.

关键词： N,N-Dimethylformamide Selective catalytic oxidation Cu-ZSM-5 CuO particle size

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Structural Isomers:Small Change with Big Difference in Anion Storage

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Nano-Micro Letters 2024年第1期16卷 222-234页

作者： Huichao Dai Yuan Chen Yueyue Cao Manli Fu Linnan Guan Guoqun Zhang Lei Gong Mi Tang Kun Fan Chengliang Wang School of Integrated Circuits Wuhan National Laboratory for Optoelectronics(WNLO)Huazhong University of Science and TechnologyWuhan 430074People’s Republic of China Wenzhou Advanced Manufacturing Institute Huazhong University of Science and TechnologyWenzhou 325035People’s Republic of China Hubei Key Laboratory of Polymer Materials School of Materials Science and EngineeringHubei UniversityWuhan 430062People’s Republic of China School of Chemistry and Environmental Engineering Wuhan Institute of TechnologyWuhan 430073People’s Republic of China

Organic electrode materials are promising for ***,the reported organic electrodes are often facing the challenges of low specific capacity,low voltage,poor rate capability and vague charge storage mechanisms,*** are good platform to investigate the charge storage mechanisms and enhance the performance of batteries,which,however,have not been focused in ***,two isomers are reported for *** a result,the isomer tetrathiafulvalene(TTF)could store two monovalent anions reversibly,deriving an average discharge voltage of 1.05 V and a specific capacity of 220 mAh g−1 at a current density of 2 *** the other hand,the other isomer tetrathianaphthalene could only reversibly store one monovalent anion and upon further oxidation,it would undergo an irreversible solid-state molecular rearrangement to *** molecular rearrangement was confirmed by electrochemical performances,X-ray diffraction patterns,nuclear magnetic resonance spectra,and 1H detected heteronuclear multiple bond correlation *** results suggested the small structural change could lead to a big difference in anion storage,and we hope this work will stimulate more attention to the structural design for boosting the performance of organic batteries.

关键词： Zinc-organic batteries Isomers Solid-state molecular rearrangement Anion storage P-type organic electrode materials

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Enhanced Inverter Hybrid Fault Diagnosis through RAM and CNN Integration 14

Enhanced Inverter Hybrid Fault Diagnosis through RAM and CNN...

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14th International Conference on reliability, Maintainability and Safety, ICRMS 2023

作者： Meng, Linghui Li, Lin Jiang, Yuanyuan Science and Technology on Reliability Physics and Application of Electronic Component Laboratory China Electronic Product Reliability and Environmental Testing Research Institute Guangdong Guangzhou China Anhui University of Science and Technology School Institute of Artificial Intelligence Anhui Huainan China

ISBN: (纸本)9798350329988

Deep learning has been widely used in inverter open-circuit fault diagnosis;however, traditional neural networks only extract signal features of inverter faults without distinguishing between significant and minor features. To address this limitation, this paper proposes a diagnostic method for inverter hybrid faults that combine reverse attention mechanism (RAM) and convolutional neural networks. The proposed method highlights important features by utilizing RAM to reverse the attention and prune the minor features. In addition, long short-term memory is used to learn temporal information between the features. Finally, fault classification is performed using fully connected layers. Simulation experiments indicate that the proposed diagnostic method significantly improves fault diagnosis accuracy. Compared to traditional neural network fault diagnosis methods, our proposed method achieves up to 8.07% higher diagnosis accuracy, thereby validating its effectiveness. © 2023 IEEE.

关键词： Convolutional neural networks

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Development of an automated photolysis rates prediction system based on machine learning

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Journal of environmental sciences 2025年第5期151卷 211-224页

作者： Weijun Pan Sunling Gong Huabing Ke Xin Li Duohong Chen Cheng Huang Danlin Song State Key Laboratory of Severe Weather&Key Laboratory of Atmospheric Chemistry of CMA Chinese Academy of Meteorological SciencesBeijing 100081China College of Environmental Sciences and Engineering Peking UniversityBeijing 100871China State Environmental Key Laboratory of Reginal Air Quality Monitoring Guangdong Ecological Environmental Monitoring CenterGuangzhou 510308China State Environmental Protection Key Laboratory of Formation and Prevention of the Urban Air Complex Shanghai Academy of Environmental SciencesShanghai 200233China Chengdu Academy of Environmental Sciences Chengdu 610072China National Observation and Research Station of Coastal Ecological Environments in Macao Macao Environmental Research InstituteMacao University of Science and TechnologyMacao 999078China

Based on observed meteorological elements,photolysis rates(J-values)and pollutant concentrations,an automated J-values predicting system by machine learning(J-ML)has been developed to reproduce and predict the J-values of O^(1)D,NO_(2),HONO,H_(2)O_(2),HCHO,and NO_(3),which are the crucial values for the prediction of the atmospheric oxidation capacity(AOC)and secondary pollutant concentrations such as ozone(O_(3)),secondary organic aerosols(SOA).The J-ML can self-select the optimal“Model+Hyperparameters”without human *** evaluated results showed that the J-ML had a good performance to reproduce the J-values wheremost of the correlation(R)coefficients exceed 0.93 and the accuracy(P)values are in the range of 0.68-0.83,comparing with the J-values from observations and from the tropospheric ultraviolet and visible(TUV)radiation model in Beijing,Chengdu,Guangzhou and Shanghai,*** hourly prediction was also well performed with R from 0.78 to 0.81 for next 3-days and from 0.69 to 0.71 for next 7-days,*** with O_(3)concentrations by using J-values from the TUV model,an emission-driven observation-based model(e-OBM)by using the J-values from the J-ML showed a 4%-12%increase in R and 4%-30%decrease in ME,indicating that the J-ML could be used as an excellent supplement to traditional numerical *** feature importance analysis concluded that the key influential parameter was the surface solar downwards radiation for all J-values,and the other dominant factors for all J-values were 2-m mean temperature,O_(3),total cloud cover,boundary layer height,relative humidity and surface pressure.

关键词： J-values Automated prediction system Machine learning Short-term prediction O_(3)simulated improvement

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Recent progress in online detection methods of bioaerosols

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Fundamental Research 2024年第3期4卷 442-454页

作者： Taicheng An Zhishu Liang Zhen Chen Guiying Li Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health Guangdong Key Laboratory of Environmental Catalysis and Health Risk ControlInstitute of Environmental Health and Pollution controlGuangdong University of TechnologyGuangzhou 510006China Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control Guangdong Key Laboratory of Environmental Catalysis and Health Risk ControlSchool of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China

The aerosol transmission of coronavirus disease in 2019,along with the spread of other respiratory diseases,caused significant loss of life and property;it impressed upon us the importance of real-time bioaerosol *** complexity,diversity,and large spatiotemporal variability of bioaerosols and their external/internal mixing with abiotic components pose challenges for effective online bioaerosol *** methods focus on directly capturing bioaerosols before subsequent time-consuming laboratory analysis such as culture-based methods,preventing the high-resolution time-based characteristics necessary for an online *** a comprehensive literature assessment,this review highlights and discusses the most commonly used real-time bioaerosol monitoring techniques and the associated commercially available *** applied in online bioaerosol monitoring,including adenosine triphosphate bioluminescence,laser/light-induced fluorescence spectroscopy,Raman spectroscopy,and bioaerosol mass spectrometry are *** working principles,characteristics,sensitivities,and efficiencies of these real-time detection methods are compared to understand their responses to known particle types and to contrast their *** developed to analyze the substantial data sets obtained by these instruments and to overcome the limitations of current real-time bioaerosol monitoring technologies are also ***,an outlook is proposed for future instrumentation indicating a need for highly revolutionized bioaerosol detection technologies.

关键词： Airborne microorganisms Real-time monitoring Adenosine triphosphate luminescence Laser/light-induced fluorescence Raman spectroscopy Bioaerosol mass spectrometry

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Toxic effects of three perfluorinated or polyfluorinated compounds(PFCs)on two strains of freshwater algae:Implications for ecological risk assessments

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Journal of environmental sciences 2023年第9期131卷 48-58页

作者： Liangliang Zhang Xiaowei Zheng Xianglin Liu Jue Li Yanyao Li Zeming Wang Nan Zheng Xiangrong Wang Zhengqiu Fan Department of Environmental Science and Engineering Fudan UniversityShanghai 200433China Laboratory of Industrial Water and Ecotechnology Department of Green Chemistry and TechnologyGhent UniversityKortrijk 8500Belgium Jinan Environmental Research Academy Jinan 250102China

Perfluorinated or polyfluorinated compounds(PFCs)continue entering to the environmental as individuals or mixtures,but their toxicological information remains largely ***,we investigated the toxic effects and ecological risks of Perfluorooctane sulfonic acid(PFOS)and its substitutes on prokaryotes(Chlorella vulgaris)and eukaryotes(Microcystis aeruginosa).Based on the calculated EC50 values,the results showed that PFOS was significantly more toxic to both algae than its alternatives including Perfluorobutane sulfonic acid(PFBS)and 6:2 Fluoromodulated sulfonates(6:2 FTS),and the PFOS-PFBS mixture was more toxic to both algae than the other two PFC *** action mode of binary PFC mixtures on Chlorella vulgaris was mainly shown as antagonistic and on Microcystis aeruginosa as synergistic,by using Combination index(CI)model coupled with Monte Carlo *** mean risk quotient(RQ)value of three individual PFCs and their mixtures were all below the threshold of 10^(−1),but the risk of those binary mixtures were higher than that of PFCs individually because of their synergistic *** findings contribute to enhance the understanding of the toxicological information and ecological risks of emerging PFCs and provide a scientific basis for their pollution control.

关键词： Toxicity Combination index model Monte Carlo simulation Action mode Algae

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Landslide Damming Threats Along the Jinsha River,China

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engineering 2024年第11期42卷 326-339页

作者： Shihao Xiao Limin Zhang Te Xiao Ruochen Jiang Dalei Peng Wenjun Lu Xin He Department of Civil and Environmental Engineering The Hong Kong University of Science and TechnologyHong Kong 999077China The Hong Kong University of Science and Technology Shenzhen–Hong Kong Collaborative Innovation Research Institute Shenzhen 518000China State Key Laboratory of Geo-hazard Prevention and Geo-environment Protection Chengdu University of TechnologyChengdu 610000China

The 2280 km long Jinsha River has been blocked at least four times in the past 30 years.A landslide dam-ming hazard chain can endanger communities and infrastructures hundreds of kilometers downstream from the damming site in alpine *** damming events have resulted in severe consequences,demanding a thorough assessment of damming threats along the entire Jinsha *** study digitizes the Jinsha River and visualizes its topographic,tectonic,hydrologic,and climate characteristics in detail.A two-stage full-probability method is proposed for assessing the damming threats along this river,mak-ing it possible to identify potential damming hotspots and high-priority zones for hazard *** is found that the upper reach of the Jinsha River poses the greatest damming threat,and the threat level gradually decreases *** 33.4%,36.7%,20.5%,and 9.4%of the entire length of the Jinsha River are classified as low,moderate,high,and very high threat levels,*** with existing hydropower projects,future projects in the upper reach are more likely to be exposed to landslide *** highlight the value of basin-scale spatial threat analysis and envisage that our findings will promote more targeted local-scale risk assessments for potential damming *** outcomes provide the basis for managing the risks of river damming and hydropower infras-tructure along the Jinsha River.

关键词： Landslide dam Landslides Jinsha River Risk analysis Hydropower

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A model-free deep learning-based health prognosis methodology with epistemic and aleatoric uncertainties

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Expert Systems with Applications 2025年 284卷

作者： Sun, Bo Pan, Junlin Wu, Zeyu Feng, Qiang Lu, Chen Wang, Zili School of Reliability and Systems Engineering Beihang University Beijing100191 China State Key Laboratory of Reliability and Environmental Engineering Technology Beijing100191 China Intelligent Science & Technology Academy of CASIC Beijing100043 China

Aleatoric uncertainty inherent in degradation data and epistemic uncertainty introduced by a research method directly affect the trustworthiness of health prognosis, specifically in terms of the state of health (SOH) and remaining useful life (RUL). In this paper, a deep learning methodology integrating Bayesian deep learning (BDL) and model-free approaches is proposed to eliminate the influence of uncertainties and improve the accuracy of the prediction results. First, an advanced dropout approach is introduced to quantify the epistemic uncertainty due to the neural network model parameters in a model-free manner. Then, a data augmentation approach and an arbitrary polynomial chaos expansion method are used in a model-free manner to quantify the aleatoric uncertainty inherent in the data distribution. Next, a model-free BDL model is constructed for health probability prognosis that incorporates two types of uncertainty. In addition, an incremental learning approach based on an asynchronous calibration strategy is presented to adaptively update the prediction model. To verify the effectiveness of the proposed method, lithium-ion battery SOH prognosis and turbofan engine RUL prediction experiments are conducted using degradation datasets. The results show that the proposed method can provide more accurate point estimations and more trustworthy interval estimations. © 2025 Elsevier Ltd

关键词： Size distribution

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Efficient photocatalytic NADH regeneration with Rh-loaded Z-scheme mediator-free system

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Chinese Chemical Letters 2024年第2期35卷 496-500页

作者： Yi Zhou Yiling He Ming Gao Ningkai Ding Juying Lei Yanbo Zhou State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process East China University of Science and TechnologyShanghai 200237China National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery East China University of Science and TechnologyShanghai 200237China Shanghai Engineering Research Center for Multi-media Environmental Catalysis and Resource Utilization East China University of Science and TechnologyShanghai 200237China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092China

Nicotinamide adenine dinucleotide(NADH)regeneration is necessary for the sustainable application of enzymatic *** Rh-based complex[Cp^(*)Rh(bpy)(H)]+has been widely used as an important mediator in NADH regeneration systems,but it is limited by complexity and high ***,a Z-scheme was constructed by loading Rh onto carbon nitride nanosheets/carbon nitride quantum dots(CN-CNQD).The resultant catalyst achieved a high yield of NADH in a mediator-free(M-free)system of 0.283 mmol L^(−1) g^(−1) min^(−1),which is 5.29 times that of pure *** enzyme introduction experiments confirmed that the enzyme active product 1,4-NADH could reach 34.21%selectivity in the M-free *** research revealed that the heterojunction between CNs and CNQDs improved the NADH regeneration activity in the traditional M-involved system,while Rh loading was proved to optimize the yield and selectivity of 1,4-NADH in M-free *** immobilized Rh shows more competitiveness than[Cp^(*)Rh(bpy)(H)]^(+).This study contributes to the construction of an M-free system for further application in greener,lower-cost enzymatic processes.

关键词： Photocatalysis NADH regeneration Mediator-free Carbon nitride Z-scheme

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A multi-objective optimization approach for harnessing rainwater in changing climate

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Advances in Climate Change Research 2024年第5期15卷 976-987页

作者： Ling-Yu MENG Zhan TIAN Dong-Li FAN Frans H.M.VAN DE VEN Laixiang SUN Qing-Hua YE San-Xiang SUN Jun-Guo LIU Laura NOUGUES Daan ROOZE School of Chemical and Environmental Engineering Shanghai Institute of TechnologyShanghai 201418China Guangdong Provincial Key Laboratory of Soil and Groundwater Poution Control School of Environmental Science and EngineeringSouthern University of Scienceand TechnologyShenzhen 518055China Pengcheng Laboratory Shenzhen 518000China Deltares Delft 2629 HVNetherlands Water Management Faculty of Civil Engineering and GeosciencesDelft University of TechnologyDelft 2628 CNNetherlands Department of Geographical Sciences University of MarylandMaryland 20742United States School of Environmental and Municipal Engineering Lanzhou Jiaotong UniversityLanzhou 730070China

As the world grapples with the profound impacts of climate change,water scarcity has become a pressing ***,there is a shortage of in-depth research on the trade-offs between water resource dependence and the economic,ecological,and social needs of arid and semi-arid regions like Lanzhou,*** cultivation in Lanzhou relies heavily on the Yellow River,often overlooking the potential of natural *** we first calibrated a water balance model through artificial precipitation experiments in a Soil and Water Conservation Demonstration Park in *** then developed a multi-objective optimization model to balance the cost-benefit considerations of various plausible measures across economic,ecological,and social dimensions in the searching for solutions that are more adaptable to climate change and local devel-opment *** simulations show that the solutions we designed can effectively manage water-shortage days,significantly reduce Yellow River water extraction,and improve cost-effectiveness,meeting 66%-80%of water needs for flower cultivation in the studied *** findings highlight the potential of rainwater collection and utilization solutions to mitigate water scarcity in arid and semi-arid cities,thereby enriching water resource management.

关键词： Rainwater harvesting Rainwater resource utilization Climate change adaptation Multi-objective decision making Arid and semi-arid regions

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