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Health benefits from the rapid reduction in ambient exposure to air pollutants after China's clean air actions:progress in efficacy and geographic equality

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National Science Review 2024年第2期11卷 103-113页

作者： Tao Xue Ruohan Wang Meng Wang Yanying Wang Dan Tong Xia Meng Conghong Huang Siqi Ai Fangzhou Li Jingyuan Cao Mingkun Tong Xueqiu Ni Hengyi Liu Jianyu Deng Hong Lu Wei Wan Jicheng Gong Shiqiu Zhang Tong Zhu Institute of Reproductive and Child Health National Health Commission Key Laboratory of Reproductive Health/Department of Epidemiology and Biostatistics Ministry of Education Key Laboratory of Epidemiology of Major Diseases(PKU) School of Public Health Peking University Health Science Centre State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management and Center for Environment and Health Peking University Advanced Institute of Information Technology Peking University Department of Epidemiology and Environmental Health School of Public Health and Health ProfessionsUniversity at Buffalo State Key Joint Laboratory of Environment Simulation and Pollution Control College of Environmental Sciences and EngineeringPeking University Department of Earth System Science Tsinghua University School of Public Health Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of HealthFudan University College of Land Management Nanjing Agricultural University National&Local Joint Engineering Research Center for Rural Land Resources Use and Consolidation Clean Air Asia

Clean air actions （CAAs） in China have been linked to considerable benefits in public ***,whether the beneficial effects of CAAs are equally distributed geographically is *** high-resolution maps of the distributions of major air pollutants (fine particulate matter[PM2.5]and ozone[O3]) and population,we aimed to track spatiotemporal changes in health impacts from,and geographic inequality embedded in,the reduced exposures to PM2.5and O3from 2013 to *** used a method established by the Global Burden of Diseases *** analyzing the changes in loss of life expectancy（LLE） attributable to PM2.5and O3,we calculated the gain of life expectancy （GLE） to quantify the health benefits of the air-quality ***,we assessed the geographic inequality embedded in the GLE using the Gini index （GI）.Based on risk assessments of PM2.5and O3,during the first stage of CAAs（2013 to 2017）,the mean GLE was 1.87 *** of the sum of the GLE was disproportionally distributed in about one quarter of the population exposed （GI 0.44）.During the second stage of CAAs（2017 to 2020）,the mean GLE increased to 3.94 months and geographic inequality decreased （GI 0.18）.According to our assessments,CAAs were enhanced,from the first to second stages,in terms of not only preventing premature mortality but also ameliorating health *** enhancements were related to increased sensitivity to the health effects of air pollution and synergic control of PM2.5and *** findings will contribute to optimizing future CAAs.

关键词： clean air action public health inequality fine particulate matter ozone

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Buck Circuit control Based on Interval Type II Fuzzy PI 17th

Buck Circuit Control Based on Interval Type II Fuzzy PI

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17th Annual Conference of China Electrotechnical Society, CES 2022

作者： Zhang, Tingsen Huang, Xiaorong Zhao, Yuyou Peng, Yiqiang Liu, Xinran School of Automobile and Transportation Xihua University Chengdu610039 China Vehicle Measurement Control and Safety Key Laboratory of Sichuan Province Chengdu610039 China Provincial Engineering Research Center for New Energy Vehicle Intelligent Control and Simulation Test Technology of Sichuan Chengdu610039 China

ISBN: (纸本)9789819904075

The existing BUCK circuit control strategy has difficulty in maintaining dynamic regulation over a wide voltage range and fast response during large load start-up and load throw. To address this problem, a dual closed-loop PI control strategy with an outer voltage loop and an inner current loop is proposed, and an interval type II fuzzy control is used to optimize the outer voltage loop so that the BUCK circuit can maintain fast response and high accuracy output even under sudden load changes. Finally, the effectiveness of the proposed control strategy is demonstrated by comparing the dual closed-loop PI and the type I fuzzy dual closed-loop PI by building a realistic simulation in MATLAB/SIMULINK. The results show that the transient output of the system is significantly improved when the load is suddenly changed. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Timing circuits

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Noise-Tolerant ZNN-Based Data-Driven Iterative Learning control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 344-361页

作者： Yunfeng Hu Chong Zhang Bo Wang Jing Zhao Xun Gong Jinwu Gao Hong Chen State Key Laboratory of Automotive Simulation and Control Jilin UniversityJilin UniversityChangchun 130025China College of Communication Engineering Jilin UniversityJilin UniversityChangchun 130025China Department of Electromechanical Engineering University of MacaoMacao 999078China School of Artificial Intelligence Jilin UniversityChangchun 130012China IEEE College of Electronics and Information Engineering Tongji UniversityShanghai 200092China

Aiming at the tracking problem of a class of discrete nonaffine nonlinear multi-input multi-output(MIMO) repetitive systems subjected to separable and nonseparable disturbances, a novel data-driven iterative learning control(ILC) scheme based on the zeroing neural networks(ZNNs) is proposed. First, the equivalent dynamic linearization data model is obtained by means of dynamic linearization technology, which exists theoretically in the iteration domain. Then, the iterative extended state observer(IESO) is developed to estimate the disturbance and the coupling between systems, and the decoupled dynamic linearization model is obtained for the purpose of controller synthesis. To solve the zero-seeking tracking problem with inherent tolerance of noise,an ILC based on noise-tolerant modified ZNN is proposed. The strict assumptions imposed on the initialization conditions of each iteration in the existing ILC methods can be absolutely removed with our method. In addition, theoretical analysis indicates that the modified ZNN can converge to the exact solution of the zero-seeking tracking problem. Finally, a generalized example and an application-oriented example are presented to verify the effectiveness and superiority of the proposed process.

关键词： Adaptive control control system synthesis data-driven iterative learning control neurocontroller nonlinear discrete time systems

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A Green Wave Traffic Strategy Design for Energy-saving control of Intelligent Connected Vehicle Using MPC Framework

A Green Wave Traffic Strategy Design for Energy-saving Contr...

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第43届中国控制会议

作者： Hanyu Yang Qifang Liu Dongzi Li Shuyou yu School of Communication Engineering Jilin University The State Key Laboratory of Automotive Simulation and Control (ASCL)

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

In this paper,an energy-saving driving method of automatic transmission fuel vehicle under multi-traffic lights is *** the multi-traffic light section in the city,a traffic light green wave selection method is first transformed into a single traffic light traffic problem,the corresponding speed constraint is calculated,and the problem is transformed into a cruise problem with speed *** vehicle energy consumption and engine torque into account,the model predictive control(MPC) is used to solve the problem,and the sub-optimal solution was *** green wave selection algorithm can achieve 96% of the energy saving effect of the global optimization *** with the global optimization solution time,this method will greatly reduce the solution time and complete the purpose of real-time optimization.

关键词： Green wave traffic Speed optimization Model predictive control Autonomous vehicles

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Driving Assistance Decision Method Based on Dynamic Driving Map

Driving Assistance Decision Method Based on Dynamic Driving ...

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Chinese control and Decision Conference, CCDC

作者： Maoyuan Cui Naixuan Zhu Hongyu Hu Debao Kong Zheng Lv Kewang Liu Zhenhai Gao State Key Laboratory of Comprehensive Technology on Automobile Vibration and Noise & Safety Control Changchun State Key Laboratory of Automotive Simulation and Control Changchun

ISBN: (纸本)9781665478977

Aiming at the problem of vehicle driving map modeling, this paper puts forward a method of constructing dynamic driving map(DDM). Firstly, the intention of road vehicles is identified based on hidden Markov model, which is regarded as one layer of driving map. Then, this paper hierarchically processes and fuses the current environment from four aspects: vehicle movement information, lane information, vehicle and obstacle information and vehicle prediction information, and obtains the drivability probability of each unit. Then, based on DDM, the behavior decision-making cost equation is put forward, and the decision-making model of vehicle driving behavior with minimum cost is designed by using the idea of dynamic programming. Finally, through the simulation verification, the results show that the dynamic driving map designed in this paper can accurately and effectively express the complex road environment compactly, and give reasonable driving advice according to the specific environment, which has good robustness.

关键词： Costs Roads Dynamics Vehicle driving Hidden Markov models Mathematical models Robustness

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Interface sites on vanadia-based catalysts are highly active for NO_(x) removal under realistic conditions

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Journal of Environmental Sciences 2024年第2期136卷 523-536页

作者： Zhihui Lv Guangzhi He Wenshuo Zhang Jingjing Liu Zhihua Lian Yang Yang Zidi Yan Guangyan Xu 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 Center for Excellence in Regional Atmospheric Environment and Key Laboratory of Urban Pollutant Conversion Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China Ganjiang Innovation Academy Chinese Academy of SciencesGanzhou 341000China Ningbo Research Center for Urban Environment Chinese Academy of SciencesNingbo 315800China

TiO_(2)-supported V_(2)O_(5)catalysts are commonly used in NO_(x)reduction with ammonia due to their robust catalytic *** these catalysts,it is generally considered that the active species are mainly derived from the vanadia species rather than the intrinsic structure of V-O-Ti entities,namely the interface *** reveal the role of V-O-Ti entities in NH_(3)-SCR,herein,we prepared TiO_(2)/V_(2)O_(5)catalysts and demonstrated that V-O-Ti entities were more active for NO_(x)reduction under wet conditions than the V sites(V=O)working *** the V-O-Ti entities,kinetic measurements and first principles calculations revealed that NH_(3)activation exhibited a much lower energy barrier than that on V=O *** wet conditions,the V-O-Ti interface significantly inhibited the transformation of V=O to V-OH sites thus benefiting NH_(3)*** wet conditions,meanwhile,the migration of NH_(4)^(+)from Ti site neighboring the V-O-Ti interface to Ti site of the V-O-Ti interface was exothermic;thus,V-O-Ti entities together with neighboring Ti sites could serve as channels linking NH_(3)pool and active centers for activation of NH_(4)^(+).This finding reveals that the V-O-Ti interface sites on V-based catalysts play a crucial role in NO_(x)removal under realistic conditions,providing a new perspective on NH_(3)-SCR mechanism.

关键词： NO_(x)removal Vanadia-based catalysts V-O-Ti entities Interface sites Reaction mechanism

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Response to Comment on "Comparison of Detection Methods of Microplastics in Landfill Mineralized Refuse and Selection of Degradation Degree Indexes"

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ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022年第2期56卷 1471-1472页

作者： Zhang, Ying Peng, Yawen Peng, Chu Wang, Ping Lu, Yuan He, Xiaosong Wang, Lei MOE Key Laboratory of Pollution Processes and Environmental Criteria/Tianjin Key Laboratory of Environmental Remediation and Pollution Control College of Environmental Science and Engineering Nankai University Tianjin 300350 China State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing 100012 China State Environmental Protection Key laboratory of Simulation and Control of Groundwater Pollution Chinese Research Academy of Environmental Sciences Beijing 100012 China

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An Improved Solov2 Based on Attention Mechanism and Weighted Loss Function for Electrical Equipment Instance Segmentation

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Computers, Materials & Continua 2024年第1期78卷 677-694页

作者： Junpeng Wu Zhenpeng Liu Xingfan Jiang Xinguang Tao Ye Zhang Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China School of Electrical Engineering Northeast Electric Power UniversityJilin132012China Baishan Power Supply Company State Grid Jilin Electric Power CoLtd.Jilin134300China

The current existing problem of deep learning framework for the detection and segmentation of electrical equipment is dominantly related to low *** of the reliable,safe and easy-to-operate technology provided by deep learning-based video surveillance for unmanned inspection of electrical equipment,this paper uses the bottleneck attention module(BAM)attention mechanism to improve the Solov2 model and proposes a new electrical equipment segmentation ***,the BAM attention mechanism is integrated into the feature extraction network to adaptively learn the correlation between feature channels,thereby improving the expression ability of the feature map;secondly,the weighted sum of CrossEntropy Loss and Dice loss is designed as the mask loss to improve the segmentation accuracy and robustness of the model;finally,the non-maximal suppression(NMS)algorithm to better handle the overlap problem in instance *** results show that the proposed method achieves an average segmentation accuracy of mAP of 80.4% on three types of electrical equipment datasets,including transformers,insulators and voltage transformers,which improve the detection accuracy by more than 5.7% compared with the original Solov2 *** segmentation model proposed can provide a focusing technical means for the intelligent management of power systems.

关键词： Deep learning electrical equipment attention mechanism weighted loss function

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Driver-automation shared steering control considering driver neuromuscular delay characteristics based on stackelberg game

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Green Energy and Intelligent Transportation 2022年第2期1卷 88-96页

作者： Jun Liu Hongyan Guo Wanqing Shi Qikun Dai Jiaming Zhang State Key Laboratory of Automotive Simulation and Control Jilin UniversityRenmin Street 5988Changchun130025China College of Communication Engineering Jilin UniversityRenmin Street 5988Changchun130025China

To promote the intelligent vehicle safety and reduce the driver steering workload,stackelberg game theory is adopted to design the shared steering control strategy that takes the driver neuromuscular delay characteristics into ***,a shared steering control framework with adjustable driving weight is proposed,and a coupling interaction model considering the driver neuromuscular delay characteristics is constructed by using the stackelberg game ***,the driver-automation optimal control strategy is deduced theoretically when the game equilibrium is ***,simulation and virtual driving tests are carried out to verify the superiority of the proposed *** results illustrate that the raised method can enhance the vehicle safety with low driving weight intervention,and it can achieve better auxiliary effect with less control *** addition,the driver-in-the-loop test results show that the proposed strategy can achieve better performance in assisting drivers with low driving skills.

关键词： Shared steering control Game theory Driver-automation interaction Driver neuromuscular delay characteristics

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Homogeneous and heterogeneous photolysis of nitrate in the atmosphere:state of the science,current research needs,and future prospects

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Frontiers of Environmental Science & Engineering 2023年第4期17卷 109-126页

作者： Yiqun Cao Qingxin Ma Biwu Chu Hong He State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China Center for Excellence in Regional Atmospheric Environment Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China

Nitrate is an important component of atmospheric particulate matter and affects air quality,climate,human health,and the *** was previously considered a permanent sink for nitrogen oxides(NO_(x)).However,this viewpoint has been challenged in recent years because growing research evidence has shown the transformation of nitrate into NO_(x)(i.e.,renoxification).The photolysis of nitrate/HNO3,especially in the particulate phase or adsorbed on particles,can be a significant renoxification process in the *** formation and photolysis of nitrate in aerosol not only change the diurnal variation of NO_(x),but also provide long-distance transport of NO_(x)in the form of nitrate,which affects local and regional atmospheric chemistry and air *** review summarizes recent advances in the fundamental understanding of the photolysis of nitrate/HNO3 under various atmospheric conditions,with a focus on mechanisms and key factors affecting the *** atmospheric implications are discussed and future research is recommended.

关键词： Nitrate Photolysis Renoxification Aerosol

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