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Environmental Chemistry and Ecotoxicology 2025年 7卷 1142-1157页

作者： Jia Zhang Dan Li Ying Yuan Kunlong Hui Wenbing Tan State Key Laboratory of Environmental Criteria and Risk Assessment State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution Chinese Research Academy of Environmental Sciences Beijing 100012 China

Brominated flame retardants (BFRs) have become significant contaminants of emerging concern (CECs), resulting in detrimental effects on soil health, human health, and ecosystem sustainability. Their environmental impacts have spurred extensive research into environmental chemistry and ecotoxicology. Despite the widespread detection of both BFRs and Novel Brominated Flame Retardants (NBFRs) in soils, there are few assessments of the environmental behavior and fate of the BFRs. Therefore, this review comprehensively identifies the sources, distribution, transport, transformation, ecotoxicological effects, and remediation strategies of BFRs in soils. Principal findings indicate that adsorption-desorption, mostly influenced by soil organic matter, controls the mobility and transformation of BFRs. Photolysis dominates surface soils, while aerobic and anaerobic biodegradation predominate in subsurface layers. The main factors influencing the bioavailability of BFRs are shed light on in this review. These factors such as the physicochemical properties of BFRs, soil characteristics, and combined pollution are specifically discussed. Moreover, the development, physiological, and biochemical responses of soil organisms to exposure to the BFRs are summarized. Single strategies for addressing BFRs have certain limitations. Urgent actions are needed to focus on environmental behavior and remediation strategies under the “One Health” framework to enrich research gap areas of BFRs, NBFRs, and transformation products.

关键词： Brominated flame retardants Soil Transport Transformation Bioavailability Toxicity

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Enhanced Ru–Ce interface electron transfer and reverse oxygen spillover promote chlorobenzene catalytic oxidation

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Applied Catalysis B: Environmental 2025年 373卷

作者： Chen, Deli Si, Wenzhe Wang, Rong Yuan, Xing Zhou, Bin Chen, Zhen Peng, Yue Li, Junhua State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China

The catalytic oxidation of chlorinated volatile organic compounds (CVOCs) is still a big challenge due to chlorine poisoning and the polychlorinated byproducts. Ru-loaded CeO2 catalysts have attracted much attention in CVOCs oxidation. To optimize the surface electronic structure of Ru/CeO2, we reduced the CeO2 support to enhance the metal-support interaction of the Ru/CeO2 catalyst, resulting in higher Ru dispersion and stronger interface electron transfer. The Reduction treatment not only enhances the activation of O2 molecules by promoting the generation of interface electron-rich units but also stimulates stronger reverse oxygen spillover (ROS). The improved oxygen activation and migration ability accelerates the decomposition of intermediate products. Besides, the lower surface electrostatic potential also weakens the chlorine adsorption of the catalyst. After the modification, the oxidation rate of chlorobenzene increased by more than 1.5 times at 240–320 °C and the T90 decreased by about 50 °C. © 2025

关键词： Catalytic oxidation

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Forest Mercury Deposition Observation in Chongqing: Evaluating Effectiveness of Mercury Pollution control over the Past Decade in Southwestern China

ACS ES&T Air

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ACS ES&T Air 2025年第2期2卷 286-294页

作者： Ziyi Zhan Dongwei Lv Huang Zhou Qingru Wu Yuying Cui Lei Duan State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University 100084 Beijing China School of the Environment Nanjing University 210023 Nanjing China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University 100084 Beijing China；State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Tsinghua University 100084 Beijing China

As the largest Hg reservoir in terrestrial ecosystems, forests provide valuable insights into atmospheric Hg levels through observations of mercury deposition. In this study, we conducted a one-year observation of Hg deposition, by both throughfall and litterfall, in a forest located in Chongqing, an industrial hub in southwestern China, in 2021. We compared the results with observations made at the same sampling site in 2010–2011. The results showed that there were significant decreases in both Hg concentrations (from 115 μg·kg–1to 80.2 μg·kg–1for litterfall and from 68.4 ng·L–1to 4.01 ± 2.09 ng·L–1for throughfall) and Hg deposition fluxes (from 89.8 μg·m–2·yr–1to 19.9 μg·m–2·yr–1for total deposition, decreasing by 77.8%) in the forest from 2010 to 2021. The decrease in deposition might result from the synergistic effect of reduction in both anthropogenic (inventory-listed or nonquantitative) and re-emission sources. Over the decade since the initiation of theMinamata Convention on Mercury, atmospheric Hg levels have decreased significantly, mainly due to the co-benefits of conventional air pollutant control, indicating the effectiveness of China’s Hg pollution control policies.

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Stackelberg Game for Bilateral Transactions between Energy Storage and Wind Farms Considering the Day-Ahead Electricity Market

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Energy Engineering 2025年第5期122卷 1645-1668页

作者： Xingxu Zhu Guiqing Zhao Gangui Yan JunhuiLi Hongda Dong Chenggang Li Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012China Electric Power Research Institute of State Grid Jilin Electric Power Co. Ltd.Jilin130021China

The participation of wind farms in the former energymarket faces challenges such as power fluctuations and energy storage construction *** this end,this paper proposes a joint energy storage operation scheme for multiple wind farms based on a leasingmodel,which assistswind farms in bidding for participation in the former energy market through leasing services,thereby enhancing energy storage efficiency and maximizing economic *** this paper,based on theWeibull probability distribution to portray the uncertainty of wind power,and considering the lifetime capacity loss caused by charging and discharging of energy storage,we construct a bilateral transaction model aiming at maximizing the multi-objective revenue of wind farms and shared energy *** trading strategy is designed based on the Stackelberg game framework and solved jointly by the improved genetic algorithm and interior *** exploring the effects of different lease price intervals on the overall systemperformance,and analyzing the systemstate undermultiple charging and discharging *** results show that a reasonable lease price range can significantly improve the energy storage system utilization and wind *** new ideas to enhance the economic benefits of wind farms and promote the application of shared energy storage,and promotes the wide application of shared energy storage systems.

关键词： Energy storage wind power uncertainty energy market stackelberg game leasing price

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Significant changes in the physicochemical properties of BC-containing particles during the cold season in Beijing

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Journal of Environmental Sciences 2025年第5期151卷 667-676页

作者： Shuya Hu Linghan Zeng Gang Zhao Shiyi Chen Chunsheng Zhao Weilun Zhao Min Hu State Key Joint Laboratory of Environmental Simulation and Pollution Control International Joint Research Center for Atmospheric Research(IJRC)College of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China Department of Atmospheric and Oceanic Sciences School of PhysicsPeking UniversityBeijing 100871China Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science and TechnologyNanjing 210044China

The ambient air quality has improved significantly under strict emission controls in Beijing,China over the last *** carbon(BC),as a short-lived climate forcer in ambient aerosols,profoundly impacts the air quality and *** studies have demonstrated a decline in the mass concentration of *** this study,we characterized the chemical compositions and size distributions of BC-containing particles during the cold season of 2022 in Beijing using state-of-the-art instruments capable of exclusively measuring BCcontaining *** optical properties of BC-containing particles were further calculated based on the Mie ***,we compared the properties of BC-containing particles in 2022 with the results of previous *** results showed that the diameters of BC cores became larger while the coating thickness of BC-containing particles became thinner in *** the coating materials,the mass fraction of nitrate increased obviously,and even replaced organic matter as the dominant component during the peak of the pollution *** in chemical compositions and size distributions resulted in lower mass absorption cross-sections(MAC)of BC-containing particles from 10.5±1.1 m^(2)/g in 2016 to 7.3±0.8 m^(2)/g in 2022,reduced by 30.5%.Our results demonstrate the synergistic benefits of air pollution control in improving air quality and mitigating climate ***,the MAC of BC adopted in climate models should vary with the changing air pollution *** study emphasizes that it is imperative to conduct long-term observations of BC-containing particles to better estimate BC’s climate effects.

关键词： Black carbon Chemical composition Size distribution Light absorption ability

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Transient Synchronization Stability Analysis of Grid-Following Converter Power Systems Using Local Network Measurements 9th

Transient Synchronization Stability Analysis of Grid-Followi...

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9th Purple Mountain Form on Smart Grid Protection and control, PMF 2024

作者： Wei, Xiaoqiang Liu, Naiyuan He, Zhifeng Yang, Hao Sun, Zhenglong State Grid Heilongjiang Electric Power Company Limited Harbin150000 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132000 China

ISBN: (纸本)9789819616701

There is an urgent need to address the transient synchronization stability (TSS) problem caused by the increasing penetration of renewable resources into the power network through grid-following converters (GFL-VSCs). It is challenging to analyze the TSS in power systems with high penetration of renewable resources due to the complex interaction between a large number of GFL-VSCs and power network. Although some research has been carried out on TSS assessment of GFL-VSC systems, its application is limited because measuring the numerous internal parameters of distributed converters is hard. To fill this gap, this paper proposes a TSS analysis method using local network measurements. The present study first constructs a port energy function for PLL-controlled converters, establishing the relationship between the internal control and the transient energy of the converter. Secondly, the branch energy function is constructed using the law of energy conservation. Due to transient energy interactions between the converters and the branches, the transient instability characteristics of the converters are mapped into the network. Transient instability characteristics are extracted through PMUs in the network. On this basis, the TSS of the GFL-VSC systems is analyzed through the identified critical branches. Finally, the effectiveness of the proposed method is validated through simulations on the modified IEEE 39-BUS system and a practical power system. © state Grid Electric Power 2025.

关键词： Transient stability

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Deciphering environmental factors influencing phytoplankton community structure in a polluted urban river

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Journal of Environmental Sciences 2025年第2期148卷 375-386页

作者： Xiaxia Li Kai Chen Chao Wang Tianyu Zhuo Hongtao Li Yong Wu Xiaohui Lei Ming Li Bin Chen Beibei Chai School of Water Conservancy and Hydroelectric Power Hebei University of EngineeringHandan 056038China Collaborative Innovation Center for Intelligent Regulation and Comprehensive Management of Water Resources School of Water Conservancy and HydroelectricHebei University of EngineeringHandan 056038China Hebei Key Laboratory of Intelligent Water Conservancy Hebei University of EngineeringHandan 056038China Tianjin Water Group Binhai Water Co. Ltd.Tianjin 300308China State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower ResearchBeijing 100038China School of Architecture and Civil Engineering Xi’an University of Science and TechnologyXi’an 710054China Chengdu University of Technology Chengdu 610059China College of Natural Resources and Environment Northwest A&F UniversityYangling 712100China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentBeijing Normal UniversityBeijing 100875China

Tuojiang River Basin is a first-class tributary of the upper reaches of the Yangtze River—which is the longest river in *** phytoplankton are sensitive indicators of trophic changes inwater bodies,characterizing phytoplankton communities and their growth influencing factors in polluted urban rivers can provide new ideas for pollution ***,we used direct microscopic count and environmental DNA(eDNA)metabarcoding methods to investigate phytoplankton community structure in Tuojiang River Basin(Chengdu,Sichuan Province,China).The association between phytoplankton community structure and water environmental factors was evaluated by Mantel *** environmental monitoring data were used to pinpoint major factors that influenced phytoplankton growth based on structural equation *** the phylum level,the dominant phytoplankton taxa identified by the conventional microscopic method mainly belonged to Bacillariophyta,Chlorophyta,and Cyanophyta,in contrast with Chlorophyta,Dinophyceae,and Bacillariophyta identified by eDNA ***α-diversity analysis,eDNA metabarcoding detected greater species diversity and achieved higher precision than the microscopic *** growth was largely limited by phosphorus based on the nitrogen-to-phosphorus ratios>16:1 in all water *** analysis and structural equation modeling also confirmed that the nitrogen-to-phosphorus ratio was the principal factor influencing phytoplankton *** results could be useful for implementing comprehensive management of the river basin *** is recommended to control the discharge of point-and surface-source pollutants and the concentration of dissolved oxygen in areas with excessive nutrients(e.g.,Jianyang-Ziyang).Algae monitoring techniques and removal strategies should be improved in 201 Hospital,Hongrihe Bridge and Colmar Town areas.

关键词： Environmental DNA Microscopic count Phytoplankton growth Structural equation modeling Tuojiang River Basin

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Insight into the effects of C_(3)H_(6)on fresh and hydrothermally aged Cu-SSZ-39 catalysts

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Chinese Chemical Letters 2025年第3期36卷 164-169页

作者： Jinpeng Du Junlin Chen Yulong Shan Tongliang Zhang Yu Sun Zhongqi Liu Xiaoyan Shi Wenpo Shan Yunbo Yu Hong He State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China University of Chinese Academy of Sciences Beijing 100049China Ganjiang Innovation Academy Chinese Academy of SciencesGanzhou 341119China Center for Excellence in Regional Atmospheric Environment Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China

Hydrocarbons(HCs),as major poisoning substances,have a crucial influence on NH_(3)-SCR *** this work,the effects of C_(3)H_(6)on fresh and hydrothermally aged Cu-SSZ-39 catalysts with different copper contents were *** catalysts suffered a deactivation above 250℃,especially between 300-400℃,which was mainly related to the reaction between NH_(3)and C_(3)H_(6).However,the hydrothermally aged and the high-copper-loaded Cu-SSZ-39 catalysts could achieve a recovery of NH_(3)-SCR performance at high *** activity recovery was attributed to the oxidation of C_(3)H_(6)by CuxOy species,which therefore inhibited the reaction between NH_(3)and C_(3)H_(6).As a result,more NH_(3)could be available for the NH_(3)-SCR reaction and the Cu-SSZ-39 catalysts could maintain a good catalytic *** on these findings,we proposed that high loaded Cu-SSZ-39 catalysts with a little CuOx formed are preferred for application.

关键词： Diesel vehicle emission NO_(x)abatement NH3-SCR Cu-SSZ-39 zeolite C_(3)H_(6)poisoning

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Integrated Motion control of Interaction Safety, Stability and Path-tracking for Front-and-Rear-Independent-Drive Electric Vehicle

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IEEE Transactions on Transportation Electrification 2025年第3期11卷 8573-8583页

作者： Zeng, X.H. Duan, C.S. Song, D.F. Qian, Q.F. Yang, D.P. Zhang, X.M. Jilin University State Key Laboratory of Automotive Simulation and Control Changchun130022 China Automobile and Traffic Engineering Jiangsu University Jiangsu China

Under two vehicle interaction scenarios, the uncertain motion states of traffic participants pose significant challenges to the safety of autonomous vehicles (AVs), and AVs are susceptible to instability with emergency avoidance constraint. To address this issue, an integrated motion control of interaction safety, stability and path-tracking is proposed for front-and-rear-independent-drive electric vehicle (FRIDEV). First, a control oriented longitudinal-lateral coupled dynamic model is established. Then, a variable step model predictive control is designed to solve multi-objective optimization problems, which mainly include two parts: (i) adaptive adjustment of stability weight by an improved phase plane method, and (ii) adding an interactive safety constraint to motion control by backward reachability analysis. Finally, simulation results show that the proposed controller can effectively utilize the longitudinal and lateral tire forces and achieve an balance between stability and tracking accuracy, and reduce collision risk in the interactive scenario with milder control actions. Moreover, the hardware-in-the-loop test demonstrates that the proposed controller is effective in the real-time environment. © 2015 IEEE.

关键词： Predictive control systems

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Machine learning for membrane bioreactor research:principles,methods,applications,and a tutorial

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Frontiers of Environmental Science & Engineering 2025年第3期19卷 119-144页

作者： Yizhe Lai Kang Xiao Yifan He Xian Liu Jihua Tan Wenchao Xue Aiqian Zhang Xia Huang Beijing Yanshan Earth Critical Zone National Research Station College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijing 101408China Key Laboratory of Earth System Numerical Modeling and Application University of Chinese Academy of SciencesBeijing 101408China Environmental Chemistry Faculty College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijing 101408China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Department of Energy Environmentand Climate ChangeSchool of EnvironmentResourcesand DevelopmentAsian Institute of TechnologyP.O.Box 4Klong LuangPathumthani 12120Thailand State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China

Membrane fouling poses a significant challenge to the sustainable development of membrane bioreactor(MBR)technologies for wastewater *** accurate prediction of the membrane filtration process is of great importance for identifying and controlling *** learning methods address the limitations of traditional statistical approaches,such as low accuracy,poor generalization ability,and slow convergence,particularly in predicting complex filtration and fouling processes within the realm of big *** article provides an in-depth exposition of machine learning *** study then reviews advances in MBRs that utilize machine learning methods,including artificial neural networks(ANN),support vector machines(SVM),decision trees,and ensemble *** on current literature,this study summarizes and compares the model input and output characteristics(including foulant characteristics,solution environments,filtration conditions,operating conditions,and time factors),as well as the selection of models and optimization *** modeling procedures of SVM,random forest(RF),back propagation neural network(BPNN),long short-term memory(LSTM),and genetic algorithm-back propagation(GA-BP)methods are elucidated through a tutorial *** simulation results demonstrated that all five methods yielded accurate predictions with R2>***,the existing challenges in the implementation of machine learning models in MBRs were *** is notable that integration of deep learning,automated machine learning(AutoML)and explainable artificial intelligence(XAI)may facilitate the deployment of models in practical engineering *** insights presented here are expected to facilitate the establishment of an intelligent control framework for MBR processes in future endeavors.

关键词： Membrane bioreactor Machine learning Pollutant removal Membrane fouling Model prediction

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