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A critical review of sulfate aerosol formation mechanisms during winter polluted periods

Journal of Environmental Sciences 2023年第1期123卷 387-399页

作者： Can Ye Keding Lu Huan Song Yujing Mu Jianmin Chen Yuanhang Zhang State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention Department of Environmental Science and EngineeringInstitute of Atmospheric SciencesFudan UniversityShanghai 200438China

Sulfate aerosol contributes to particulate matter pollution and plays a key role in aerosol radiative forcing,impacting human health and climate *** models tend to substantially underestimate sulfate concentrations during haze episodes,indicating that there are still missing mechanisms not considered by the *** recent good progress in understanding the missing sulfate sources,knowledge on different sulfate formation pathways during polluted periods still involves large uncertainties and the dominant mechanism is under heated debate,calling for more field,laboratory,and modeling ***,we review the traditional sulfate formation mechanisms in cloud water and also discuss the potential factors affecting multiphase S(Ⅳ)*** recent progress in multiphase S(Ⅳ)oxidation mechanisms is *** formation rates by different prevailing oxidation pathways under typical winter-haze conditions are also calculated and *** on the literature reviewed,we put forward control of the atmospheric oxidation capacity as a means to abate sulfate aerosol ***,we conclude with a concise set of research priorities for improving our understanding of sulfate formation mechanisms during polluted periods.

关键词： Sulfate aerosol Formation mechanisms Multiphase oxidation Transition metal ions Reactive oxygen species

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Particle-bound polycyclic aromatic hydrocarbons in typical urban of Yunnan-Guizhou Plateau:Characterization,sources and risk assessment

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Frontiers of Environmental Science & Engineering 2022年第9期16卷 25-38页

作者： Yaoqian Zhong Bingxin Xia Jianwu Shi Ping Ning Chaoneng Zhang Xinyu Han Jiming Hao Faculty of Environmental Science and Engineering Kunming University of Science and TechnologyKunming 650500China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China

Monthly particle-phase ambient samples collected at six sampling locations in Yuxi,a high-altitude city on the edge of Southeast Asia,were measured for particle-associated *** trace substances,polycyclic aromatic hydrocarbons(PAHs)are susceptible to the influences of meteorological conditions,emissions,and gas-particulate partitioning and it is challenging job to precise quantify the source and define the transmission *** daily concentrations of total PM_(2.5)-bound PAHs ranged from 0.65 to 80.76 ng/m^(3),with an annual mean of 11.94 ng/m^(3).Here,we found that the concentration of PM_(2.5)-bound PAHs in winter was significantly higher than that in summer,which was mainly due to source and meteorology *** increase of fossil combustion and biomass burning in cold season became the main contributors of PAHs,while precipitation and low temperature exacerbated this *** to the concentration variation trend of PM_(2.5)-bound PAHs and their relationship with meteorological conditions,a new grouping of PAHs is applied,which suggested that PAHs have different environmental fates and migration paths.A combination of source analysis and trajectory model supported local sources from combustion of fossil fuel and vehicle exhaust contributed to the major portion on PAHs in particle,but on the Indochina Peninsula the large number of pollutants emitted by biomass burning during the fire season would affect the composition of PAHs through long-range *** assessment in spatial and temporal variability suggested that citizens living in industrial areas were higher health risk caused by exposure the PM_(2.5)-bound PAHs than that in other regions,and the risk in winter was three times than in summer.

关键词： Particle-associated PAHs Fine particle Source appointment Group analysis Risk assessment Biomass burning

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Effect of different reduction methods on Pd/Al_(2)O_(3) for o-xylene oxidation at low temperature

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Journal of Environmental Sciences 2023年第3期125卷 95-100页

作者： Mingyu Fan Yafei Wang Jianghao Zhang Changbin Zhang Xue Han Beijing Institute of Petrochemical Technology Beijing 102617China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-environmental SciencesChinese Academy of SciencesBeijing 100085China General Research Institute for Non-Ferrous Metals Beijing 100088China

Pd/Al_(2)O_(3)was pretreated by CO,H_(2)and NaBH_(4)reduction,*** reduced catalysts were tested for o-xylene oxidation and characterized by power X-ray diffraction(XRD),transmission electron microscopy (TEM),X-ray photoelectron spectroscopy (XPS) and temperature-programmed decomposition of palladium hydride (TPDH).The characterizations indicate the pretreatments lead to distinct Pd particle sizes and amount of surface activated oxygen species,which are responsible for the catalytic *** with H_(2)and NaBH_(4)reduction methods,CO reduction shows a strong interaction between Pd and Al_(2)O_(3)with smaller Pd particle size and more surface activated *** exhibited excellent catalytic performance,complete oxidation of 50 ppmV o-xylene at 85℃with a WHSV of 60,000 mL/(g·hr).

关键词： Pd Reduction method Catalytic oxidation o-Xylene

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Assessing the effectiveness of PM_(2.5) pollution control from the perspective of interprovincial transport and PM_(2.5) mitigation costs across China

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Environmental Science and Ecotechnology 2024年第6期22卷 168-177页

作者： Yihao Wang Xuying Wang Zeyuan Liu Shaoliang Chao Jing Zhang Yixuan Zheng Yu Zhang Wenbo Xue Jinnan Wang Yu Lei Center of Air Quality Simulation and System Analysis Chinese Academy for Environmental Planning100012BeijingChina College of Environmental&Resource Sciences Zhejiang UniversityHangzhou310058China State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation Chinese Academy of Environmental PlanningBeijing100012China Technical Centre for Soil Agriculture and Rural Ecology and EnvironmentMinistry of Ecology and EnvironmentBeijing100012China State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental SciencesBeijing100012China

Due to the transboundary nature of air pollutants,a province's efforts to improve air quality can reduce PM_(2.5) concentration in the surrounding *** inter-provincial PM_(2.5) pollution transport could bring great challenges to related environmental management work,such as financial fund allocation and subsidy policy ***,we examined the transport characteristics of PM_(2.5) pollution across provinces in 2013 and 2020 via chemical transport modeling and then monetized inter-provincial contributions of PM_(2.5) improvement based on pollutant emission control *** found that approximately 60%of the PM_(2.5) pollution was from local sources,while the remaining 40%originated from outside ***,about 1011 billion RMB of provincial air pollutant abatement costs contributed to the PM_(2.5) concentration decline in other provinces during 2013-2020,accounting for 41.2%of the total abatement *** with lower unit improvement costs for PM_(2.5),such as Jiangsu,Hebei,and Shandong,were major contributors,while Guangdong,Guangxi,and Fujian,bearing higher unit costs,were among the main *** study identifies provinces that contribute to air quality improvement in other provinces,have high economic efficiency,and provide a quantitative framework for determining inter-provincial *** study also reveals the uneven distribution of pollution abatement costs(PM_(2.5) improvement/abatement costs)due to transboundary PM_(2.5) transport,calling for adopting inter-provincial economic compensation *** mechanisms ensure equitable cost-sharing and effective regional air quality management.

关键词： PM_(2.5) Air pollution PM_(2.5)abatement cost Economic indicator Inter-provincial transport Economic compensation

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Efficient production of hydrogen peroxide in microbial reverse-electrodialysis cells coupled with thermolytic solutions

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Frontiers of Environmental Science & Engineering 2023年第9期17卷 137-146页

作者： Xi Luo Ao Li Xue Xia Peng Liang Xia Huang College of Life and Environmental Sciences Minzu University of ChinaBeijing 100081China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Yangtze Ecology and Environment Co. Ltd.Wuhan 430062China

H_(2)O_(2) was produced at an appreciable rate in microbial reverse-electrodialysis cells(MRCs)coupled with thermolytic solutions,which can simultaneously capture waste heat as electrical *** determine the optimal cathode and membrane stack configurations for H_(2)O_(2) production,different catalysts,catalyst loadings and numbers of membrane cell pairs were *** black(CB)outperformed activated carbon(AC)for H_(2)O_(2) production,although AC showed higher catalytic activity for oxygen *** optimum CB loading was 10 mg/cm^(2) in terms of both the H_(2)O_(2) production rate and power *** optimum number of cell pairs was determined to be three based on a tradeoff between H_(2)O_(2) production and capital costs.A H_(2)O_(2) production rate as high as 0.99±0.10 mmol/(L·h)was achieved with 10 mg/cm^(2) CB loading and 3 cell pairs,where the H_(2)O_(2) recovery efficiency was 52±2%and the maximum power density was 780±37 mW/m^(2).Increasing the number of cell pairs to five resulted in an increase in maximum power density(980±21 mW/m^(2))but showed limited effects on H_(2)O_(2) *** results indicated that MRCs can be an efficient method for sustainable H_(2)O_(2) production.

关键词： Microbial reverse-electrodialysis cell Hydrogen peroxide production Ammonium bicarbonate Electrolysis cell Optimization

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Research on the Application of Big Data in Transient Stability simulation of Power systems 4

Research on the Application of Big Data in Transient Stabili...

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4th International Conference on Energy, Power and Electrical Engineering, EPEE 2024

作者： Zhang, Jie Guo, Haiping Zhao, Yanjun Huang, Libin Hu, Binjiang Luo, Hui Zhang, Jingyue State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Guangzhou510663 China National Energy Power Grid Technology R&d Centre Guangzhou510663 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou510663 China Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou5106633 China

ISBN: (纸本)9798331518066

With the rapid expansion of smart grids, there is a growing complexity in power system dynamics, which increases the availability of real-time operational data and underscores the need for advanced transient stability simulations. Traditional transient stability analysis methods are constrained by their computational demands and may compromise accuracy. Furthermore, deep learning-based methods often focus on the application of a single algorithm, lacking a systematic consideration of the entire simulation process. To address these challenges, this study proposes a novel approach that leverages big data to enhance transient stability simulations. By integrating deep learning and ensemble learning techniques, the model significantly improves the accuracy and efficiency of predicting transient instabilities. The methodology utilizes a multi-source data acquisition and fusion scheme to ensure data comprehensiveness and a distributed storage architecture to handle large-scale datasets effectively. Advanced visualization technologies are also employed to enhance the interpretability of the simulation results. This comprehensive framework aims to support the safe and stable operation of power systems amid increasing complexity and data availability. © 2024 IEEE.

关键词： Transient stability

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Distribution of antibiotic resistance genes and their association with bacteria and viruses in decentralized sewage treatment facilities

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Frontiers of Environmental Science & Engineering 2022年第3期16卷 91-104页

作者： Jiaheng Zhao Bing Li Pin Lv Jiahui Hou Yong Qiu Xia Huang School of Energy and Environmental Engineering University of Science and Technology BeijingBeijing 100083China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China

The distribution of antibiotic resistance genes(ARGs)has been intensively studied in large-scale wastewater treatment plants and livestock ***,small-scale decentralized sewage treatment facilities must also be explored due to their possible direct exposure to *** this study,six wastewater treatment facilities in developed rural areas in eastern China were investigated to understand their risks of spreading *** metagenomics and network analysis tools,ARGs and bacterial and viral communities were identified in the influent(INF)and effluent(EFF)*** dominant ARGs belonged to the bacitracin class,which are different from most of municipal wastewater treatment plants(WWTPs).The dominant hosts of ARGs are Acidovorax in bacterial communities and Prymnesiovirus in viral ***,a positive relationship was found between ARGs and *** ARGs significantly correlated with phages were all hosted by specific genera of bacteria,indicating that phages had contributed to the ARG’s proliferation in sewage treatment *** significant concern on the possible enhanced risks caused by bacteria,viruses and their related ARGs in decentralized sewage treatment facilities is necessary.

关键词： Decentralized sewage treatment facilities Antibiotic resistance genes Virus Metagenomics Network analysis

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Short-Term Prediction of Wind Power Based on NWP Error Correction with TimeGAN and LSTM-TCN 4th

Short-Term Prediction of Wind Power Based on NWP Error Corre...

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4th International Conference on Energy Power and Automation Engineering, ICEPAE 2023

作者： Li, Shuona Ma, Wei Liu, Zhao Duan, Yuge Tian, Chengwei School of Electrical Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9789819988778

The data quality of numerical weather prediction has a great influence on the accuracy of wind power prediction technology. In order to improve the short-term forecasting effect of wind power, we proposed a combined LSTM-TCN forecasting model based on NWP error correction model with TimeGAN. First, minimal redundancy maximal relevance (mRMR) algorithm is used to extract original NWP features and measured meteorological features, respectively. Then, TimeGAN is used to correct initial NWP data according to the internal hidden associations with the measured weather features. After that, the corrected NWP features combined with historical wind power are applied to establish a wind power short-term prediction hybrid model based on LSTM and TCN network. Finally, the performance of the hybrid model is tested by a wind farm dataset in China, which verified effectiveness of this method. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Wind power

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Fault Condition Testing of Photovoltaic Inverter controller Based on Active Support Technology using Hardware-In-the-Loop in RTDS 1

Fault Condition Testing of Photovoltaic Inverter Controller ...

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2024 1st International Conference on Smart Grids and Power systems, ICSGPS 2024

作者： Li, Shengnan Hu, Yun He, Xin Zhu, Yihua He, Tingyi Tu, Liang Deng, Can Luo, Chao Su, Mingzhang Zeng, Guanming Yunnan Electric Power Research Institute Kunming China National Energy Power Grid Technology R&D Centre Guangzhou China State Key Laboratory of HVDC Electric Power Research Institute CSG Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

Photovoltaic power generation is an important component of sustainable power generation and has been widely utilized. Grid connected inverters are key equipment in photovoltaic integrated systems, which directly affect the stability of the system. In this paper, the transient model of photovoltaic inverter controller based on active support technology is derived. The transient mathematical model and corresponding self-closing loop control strategy are analyzed. Based on the RTDS, a hardware controller semi-physical simulation platform is established to simulate and test photovoltaic inverters under different fault and control methods. Finally, the simulation data obtained from the self-closing loop control method and the hardware control method are compared to verify the stability and reliability of the photovoltaic inverter hardware controller. © 2024 Published under licence by IOP Publishing Ltd.

关键词： controllers

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The performance and mechanism of iron-mediated chemical oxidation:Advances in hydrogen peroxide,persulfate and percarbonate oxidation

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Journal of Environmental Sciences 2023年第6期128卷 181-202页

作者： Mengqi Han Hui Wang Wei Jin Wenhai Chu Zuxin Xu State Key Laboratory of Pollution Control and Resources Reuse College of Environmental Science and EngineeringTongji UniversityShanghai 200092China Ministry of Education Key Laboratory of Yangtze River Water Environment Tongji UniversityShanghai 200092China International Joint Research Center for Sustainable Urban Water System Tongji UniversityShanghai 200092China

Many studies have successfully built iron-mediatedmaterials to activate or catalyze Fentonlike reactions,with applications in water and wastewater treatment being ***,the developed materials are rarely compared with each other regarding their performance of organic contaminant *** this review,the recent advances of Fentonlike processes in homogeneous and heterogeneous ways are summarized,especially the performance and mechanism of activators including ferrous iron,zero valent iron,iron oxides,iron-loaded carbon,zeolite,and metal organic framework ***,this work mainly compares three O-O bond containing oxidants including hydrogen dioxide,persulfate,and percarbonate,which are environmental-friendly oxidants and feasible for in-situ chemical *** influence of reaction conditions,catalyst properties and benefits are analyzed and *** addition,the challenges and strategies of these oxidants in applications and the major mechanisms of the oxidation process have been *** work can help understand the mechanistic insights of variable Fenton-like reactions,the role of emerging iron-based materials,and provide guidance for choosing appropriate technologies when facing real-world water and wastewater applications.

关键词： Fenton-like reactions Iron-based catalyst Activation mechanism Chemical oxidation

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