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Synergetic roadmap of carbon neutrality and clean air for China

Environmental Science and Ecotechnology 2023年第4期16卷 1-25页

作者： Qiang Zhang Zhicong Yin Xi Lu Jicheng Gong Yu Lei Bofeng Cai Cilan Cai Qimin Chai Huopo Chen Hancheng Dai Zhanfeng Dong Guannan Geng Dabo Guan Jianlin Hu Cunrui Huang Jianing Kang Tiantian Li Wei Li Yongsheng Lin Jun Liu Xin Liu Zhu Liu Jinghui Ma Guofeng Shen Dan Tong Xuhui Wang Xuying Wang Zhili Wang Yang Xie Honglei Xu Tao Xue Bing Zhang Da Zhang Shaohui Zhang Shaojun Zhang Xian Zhang Bo Zheng Yixuan Zheng Tong Zhu Jinnan Wang Kebin He Ministry of Education Key Laboratory for Earth System Modelling Department of Earth System ScienceTsinghua UniversityBeijing100084China Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science&TechnologyNanjing210044China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China Institute for Carbon Neutrality Tsinghua UniversityBeijing100084China State Key Joint Laboratory for Environment Simulation and Pollution Control College of Environmental Sciences and Engineering and Center for Environment and HealthPeking UniversityBeijing100871China Center of Air Quality Simulation and System Analysis Chinese Academy of Environmental PlanningBeijing100012China Center for Carbon Neutrality Chinese Academy of Environmental PlanningBeijing100012China National Center for Climate Change Strategy and International CooperationBeijing100035China Nansen-Zhu International Research Centre Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing100029China College of Environmental Sciences and Engineering Peking UniversityBeijing100871China Institute of Environmental Policy Management Chinese Academy of Environmental PlanningBeijing100012China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control School of Environmental Science and EngineeringCollaborative Innovation Center of Atmospheric Environment and Equipment TechnologyNanjing University of Information Science and TechnologyNanjing210044China Vanke School of Public Health Tsinghua UniversityBeijing100084China Center for Energy and Environmental Policy Research Beijing Institute of TechnologyBeijing100081China China CDC Key Laboratory of Environment and Population Health National Institute of En

It is well recognized that carbon dioxide and air pollutants share similar emission sources so that synergetic policies on climate change mitigation and air pollution control can lead to remarkable co-benefits on greenhouse gas reduction,air quality improvement,and improved *** the context of carbon peak,carbon neutrality,and clean air policies,this perspective tracks and analyzes the process of the synergetic governance of air pollution and climate change in China by developing and monitoring 18 *** 18 indicators cover the following five aspects:air pollution and associated weather-climate conditions,progress in structural transition,sources,inks,and mitigation pathway of atmospheric composition,health impacts and benefits of coordinated control,and synergetic governance system and *** tracking the progress in each indicator,this perspective presents the major accomplishment of coordinated control,identifies the emerging challenges toward the synergetic governance,and provides policy recommendations for designing a synergetic roadmap of Carbon Neutrality and Clean Air for China.

关键词： Carbon neutrality Clean air Synergetic roadmap

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A Novel Agricultural Data Sharing Mode Based on Rice Disease Identification

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Plant Diseases and Pests 2024年第2期15卷 9-16页

作者： Mengmeng ZHANG Xiujuan WANG Mengzhen KANG Jing HUA Haoyu WANG Feiyue WANG State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of SciencesBeijing 100190China Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China State Key Laboratory for Management and Control of Complex System Institute of AutomationChinese Academy of SciencesBeijing 100190China

In this paper,a variety of classical convolutional neural networks are trained on two different datasets using transfer learning *** demonstrated that the training dataset has a significant impact on the training results,in addition to the optimization achieved through the model ***,the lack of open-source agricultural data,combined with the absence of a comprehensive open-source data sharing platform,remains a substantial *** issue is closely related to the difficulty and high cost of obtaining high-quality agricultural data,the low level of education of most employees,underdeveloped distributed training systems and unsecured data *** address these challenges,this paper proposes a novel idea of constructing an agricultural data sharing platform based on a federated learning(FL)framework,aiming to overcome the deficiency of high-quality data in agricultural field training.

关键词： Rice disease and pest identification Convolutional neural networks Distributed training Federated learning(FL) Open-source data sharing platform

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Dynamic Passenger Demands Oriented Optimization of Virtually Coupled Train Formation Scheduling

Dynamic Passenger Demands Oriented Optimization of Virtually...

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Chinese Automation Congress (CAC)

作者： Haobei Zhang Tao Tang Hongjie Liu Yinghui Lang School of Electronics and Information Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing China

The research on virtual coupling technology in metros is a hot topic recently. Intelligent automatic train units can flexibly form virtually coupled train formations (VCTFs) when needed, so that the train capacity would be able to adapt to passenger demands, which are changing dynamically with time and space. However, matching the capacity of trains with passenger demands is a difficult decision-making optimization problem. In this work, we propose a collaborative control problem to decide when and how to create a VCTF to meet the dynamic passenger demands in a metro system. A mathematical model is formulated which can simultaneously optimize the number of related train units in a VCTF, the train dwelling time at a station and the running time in a section. Performance indicators such as train load factor and number of stranded passengers are adopted to measure the satisfaction of the operators and passengers. Then, a multi-objective genetic algorithm is adopted to obtain the Pareto optimum solutions. Finally, simulation experiments are conducted, and the relationship between line efficiency and passenger demand in different discrete time periods is analyzed to verify the correctness and feasibility of the model. Compared with the traditional timetabling method, adopting the virtual coupling technology can better adapt the train capacity to meet the time changing passenger demands, which is welcomed by both metro operators and passengers in reality.

关键词： Couplings Road transportation Rails Adaptation models Analytical models Dynamic scheduling Vehicle dynamics

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Efficient Computer Vision-Based Excavator Bucket Fill Estimation Using Depth Map and Faster R-Cnn

SSRN

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SSRN 2023年

作者： Helian, Bobo Huang, Xiaoqian Yang, Meng Bian, Yongming Geimer, Marcus Institute of Mobile Machines Karlsruhe Institute of Technology Karlsruhe76131 Germany State Key Laboratory of Fluid Power and Mechatronic System Zhejiang University Hangzhou310027 China School of Mechanical Engineering Tongji University Shanghai201804 China Shanghai Engineering Research Center for Safety Intelligent Control of Building Machinery Shanghai200032 China

Excavators play an essential role in the construction industry, and the development of autonomous excavator systems is important for increasing productivity and improving worker safety. Accurate estimation of the volume of material in the excavator bucket is a key metric for monitoring and evaluating system automation performance. In this study, a novel solution is proposed that utilizes 2D depth maps as input to a faster region convolutional neural network (Faster R-CNN) model for bucket volume fill estimation. This approach achieves a high estimation accuracy while maintaining a fast real-time processing speed. In addition, a custom loss function is proposed specifically for the classification-regression task of this study to improve the network's generalization despite the data out of distribution. Comparative experiments show that the proposed approach achieves an impressive 96.91% accuracy in fill factor estimation, demonstrating its advantages and promising potential in the practical estimation of automated excavator operations. © 2023, The Authors. All rights reserved.

关键词： Automation

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A 4-Channel Ultrafast Wavelength-Swept REC-DFB Laser Array for Fiber Bragg Grating Interrogation

A 4-Channel Ultrafast Wavelength-Swept REC-DFB Laser Array f...

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Asia Communications and Photonics Conference and Exhibition (ACP)

作者： Lingxin Meng Pan Dai Qilu Ban Kaichuan Xu Jiacheng Wang Zhen Li Feng Wang Jie Zeng Shaobo Li Xiang Ma Xiangfei Chen Key Laboratory of Intelligent Optical Sensing and Manipulation of the Ministry of Education & Engineering National Laboratory of Solid State Microstructures Research Center of Precision Photonics Integration and System Application of the Ministry of Education College of Engineering and Applied Sciences Nanjing University Nanjing China State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and Astronautics Nanjing China Optical Communication Research and Development Center the 54th Research Institute of China Electronics Technology Group Corporation Shijiazhuang China

We present a four-channel ultrafast wavelength-swept distributed feedback (DFB) semiconductor laser array based on the reconstruction-equivalent-chirp (REC) technique using instantaneous injection current modulation. With the aid of our designed laser driving circuit system consists of the microcontroller unit (MCU), field-programmable gate array (FPGA) and negative metal-oxide-semiconductor field effect transistors (n-MOSFETs), the precise pulse driving current for the 4-channel wavelength-swept REC-DFB laser array can be generated and a fast tuning of 16.424 nm within 10 μs is achieved. To further investigate the tuning performance of the proposed wavelength-swept laser source, we then applied it to the fiber Bragg grating (FBG) interrogation system and four FBG temperature sensor arrays were successfully demodulated. The development of high-efficient optical sensing systems heavily relies on the significance of the ultrafast wavelength-swept laser source, which has the potential to greatly enhance FBG interrogator performance in the future.

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Alleviating effects and mechanisms of action of large-leaf yellow tea drinking on diabetes and diabetic nephropathy in mice

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Food Science and Human Wellness 2023年第5期12卷 1660-1673页

作者： Guangshan Zhao Jianyuan Teng Ruixia Dong Qiuyan Ban Lian Yang Kang Du Yifei Wang Hanlin Pu Chung S.Yang Zhe Ren Innovation Team of Food Nutrition and Safety Control College of Food Science&TechnologyHenan Agricultural UniversityZhengzhou 450002China Biology Postdoctoral Research Station Department of Cell BiologyCollege of Life Science and TechnologyJinan UniversityGuangzhou 510632China College of Horticulture Jinling Institute of TechnologyNanjing 211169China Department of Forestry and Technology Lishui Vocational and Technical CollegeLishui 323000China Department of Tea Science College of HorticultureHenan Agricultural UniversityZhengzhou 450002China Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System School of PharmacyGuangdong Pharmaceutical UniversityGuangzhou 510006China Department of Chemical Biology Ernest Mario School of PharmacyRutgersThe State University of New JerseyPiscataway 08901USA International Joint Research Laboratory of Tea Chemistry and Health Effects Anhui Agricultural UniversityHefei 230036China

Our previous study found that large-leaf yellow tea(LYT)had interesting hypoglycemic activity in high-fat diet-induced obese mice and highly safety in healthy mice. To study the anti-diabetic potential of LYT, the present study further investigated the preventive effects and mechanisms of action of LYT administration on diabetes and diabetic nephropathy in high-fat diet plus streptozotocin-induced diabetic mice. Results showed that LYT infusions(1/100 and 1/50, m/V)as drinking fluid for 4 weeks reduced diabetic polydipsia and polyuria, enhanced glucose tolerance and insulin sensitivity, and lowered fasting blood glucose level. The underlying mechanisms involve downregulation of gluconeogenesis(lower protein levels of TXNIP and FBP and enzyme activity of FBP), upregulation of lipid catabolism(higher protein levels of CPT-1α and PPARα), downregulation of lipogenesis(lower protein level of SREBP-1), and modification of the structure and abundance of gut microbiota to modulate metabolic homeostasis. Moreover, LYT administration prevented diabetic nephropathy, possibly due to reduced glucose-caused osmotic diuresis and lowered levels of renal PKC-β2, NLRP3 as well as membrane PKC-α, AQP2 and glycosylated AQP2 proteins. Taken together, LYT exhibits the activities in alleviating diabetic symptoms, ameliorating glucose and lipid dysmetabolism and fatty liver, and preventing diabetic nephropathy in diabetic mice. These activities may be explored for the prevention and treatment of diabetes in humans.

关键词： Diabetes Glucose and lipid metabolism Gut microbiota Diabetic nephropathy Large-leaf yellow tea

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Crowdsourced GNSS Satellite SNR in Degraded Environments for Dependability Improvement 22

Crowdsourced GNSS Satellite SNR in Degraded Environments for...

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22nd International Conference on Electromagnetics in Advanced Applications, ICEAA 2021

作者： Sun, Hao Lu, Debiao Cai, Baigen Xiao, Yu Beijing Jiaotong Univ. Beijing Eng. Research Center of Emc and Gnss Technology for Rail Transport School of Electronic and Information Engineering Frontiers Science Center for Smart High-speed Railway System Beijing China Beijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety School of Electronic and Information Engineering Frontiers Science Center for Smart High-speed Railway System Beijing China Aalto University School of Electrical Engineering Department of Communications and Networking Espoo Finland

ISBN: (纸本)9781665413862

Global Navigation Satellite systems (GNSS) localization uses time of arrival (TOA) to measure the distance between satellite and rover antenna. The key for TOA technique is the signal propagation should be straight geometrically. However, when the train runs in harsh environments, the GNSS signal quality can be degraded due to obstacles. GNSS signals are usually blocked by buildings and other obstacles, resulting in reflection and reflection, which leads to multipath positioning errors of LOS and NLOS. In the case of LOS multipath error, the GNSS receiver tracks the direct and reflected / diffracted composite signal, and the reflected / diffracted signal affects the correlation function tracking loop of the direct signal in GNSS. In the case of NLOS multipath error, GNSS receiver directly tracks reflected or diffracted signal because there is no direct satellite signal. In both cases, the multipath signal will have a large noise error range which is reflected in the change of SNR. In the GNSS solution, various GNSS receivers are used to obtain the SNR of each satellite to achieve the fully coverage of the satellite signal reception quality. Thus with limited GNSS receiver observation results, of the crowdsourcing of NLOS signal inspection will deliver the observation results in a more convenient way. In the open environment scenario, the relationship between elevation angle and SNR can be fitted by a linear function. However, in GNSS signal reception degraded environments (urban canyon etc.), The SNR at the elevation angle of the occlusion boundary will be drastically reduced. This will give us the boundary of the occlusion range. Based on this principle, we can map the environmental characteristics of different sections of the railway. The railway environment can generally be divided into open scenario, road cutting scenario, half sky scenario, urban canyon scenario and tunnel scenario. 5 typical scenario all have distinct environmental characteristics. By matching

关键词： Satellites

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Analysis of a hybrid system combining solar-assisted methanol reforming and fuel cell power generation

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Energy Conversion and Management 2023年 297卷

作者： Zhao, Ke Kong, Hui Tan, Sicong Yang, Xiao-Guang Zheng, Hongfei Yang, Tao Wang, Hongsheng School of Mechanical Engineering Beijing Institute of Technology Beijing100081 China State Key Laboratory of Power System Operation and Control Department of Thermal Engineering Tsinghua-BP Clean Energy Center Tsinghua University Beijing100084 China Shenzhen Automotive Research Institute Beijing Institute of Technology Guangdong Shenzhen518118 China & Department of Materials Science and Engineering City University of Hong Kong Hong Kong SAR Kowloon China

The proton exchange membrane fuel cell (PEMFC) is an efficient and clean power unit that has become a research hotspot for scholars around the world, but the hydrothermal management of the PEMFC limits the cell performance and hinders its large-scale application. In the paper, a hybrid system combining solar-assisted reforming of methanol and fuel cell power generation is proposed, in which methanol is used as a coolant in the hydrothermal management of the PEMFC subsystem to take away the waste heat, and further reformed for hydrogen production with the assistance of the solar energy subsystem to improve the hybrid system efficiency. The study is carried out at both the single cell level and system level to investigate the effect of solar energy on the performance of the hybrid system by simulation results, which are obtained from the finite element software, such as the performance of the PEMFC. The results show that the novel hydrothermal management method using methanol and water in the single cell can control the temperature at 60–80 °C. The highest power density of the single cell reaches 0.595 W/cm2 at a water-to-alcohol ratio of 1:1 and a coolant flow rate of 2.846 mol/s. In addition, the exergy of this hybrid system improves by 76.36% compared to the exergy of the solar thermochemical methanol reforming system at a reaction temperature of 200 °C when the methanol reforming reaction is more complete. The system efficiency can reach up to 59.15%, compared to the solar thermochemical methanol reforming system and the methanol reforming system heated by combustion of methanol, which can only reach 51.10% and 43.18%, respectively. This study provides a novel method for addressing the hydrothermal management issue of PEMFC and a new idea for the efficient utilization of solar energy. © 2023 Elsevier Ltd

关键词： Solar energy

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Deciphering dissolved organic matter by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS): from bulk to fractions and individuals

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Carbon research 2022年第1期1卷 1-22页

作者： Qi, Yulin Xie, Qiaorong Wang, Jun-Jian He, Ding Bao, Hongyan Fu, Qing-Long Su, Sihui Sheng, Ming Li, Si-Liang Volmer, Dietrich A. Wu, Fengchang Jiang, Guibin Liu, Cong-Qiang Fu, Pingqing Institute of Surface-Earth System Science School of Earth System Science Tianjin University Tianjin China Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim Tianjin University Tianjin China Haihe Laboratory of Sustainable Chemical Transformations Tianjin China State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen China The Hong Kong University of Science and Technology Hong Kong State Key Laboratory of Marine Environmental Science College of Ocean and Earth Sciences Xiamen University Xiamen China School of Environmental Studies China University of Geosciences Wuhan China Department of Chemistry Humboldt-Universität zu Berlin Berlin Germany State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing China

Exploring the source, transformation pathways, and the fate of natural organic matter (NOM) is critical to understanding the regional/global carbon cycle and carbon budget. The dissolved fraction of NOM, i.e., dissolved organic matter (DOM), is a complex mixture resulting from the transformation of plant, animal and microbial matter and plays a crucial role in many biogeochemical processes at the land-ocean-atmosphere interfaces. The advance of Fourier transform ion cyclotron resonance mass spectrometer (FT-ICR MS) makes the detailed characterization of DOM at the molecular level possible. On the other hand, elucidation of complex DOM sample also presents significant analytical challenges, and these challenges also act as a driving force for the instrumentation and methodology development on FT-ICR MS. This review article has been written to aid those working in biogeochemistry, environmental and atmospheric chemistry, and related areas which investigate elemental cycles and DOM transformations. First, the fundamental theory, historical perspective, and recent advances in the field have been introduced. The detailed molecular characterization of environmental and geological samples continues to present significant analytical challenges, and it also has become a driving force for the development of the instrumentation and experimental methods. These achievements in DOM analysis have had an impact upon the fields of environmental science, geochemistry, and analytical chemistry. Next, varieties of applications of FT-ICR MS have also been described, followed by our view of the future of this technique in earth science research. We believe that this review covers the essential pairing of FT-ICR MS and collectively offers environmental and geochemical scientists a substantial resource for their research. Graphical abstract: [Figure not available: see fulltext.]. © 2022, The Author(s).

关键词： Budget control

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The effectiveness of bisulfite-activated permanganate technology to enhance the coagulation efficiency of Microcystis aeruginosa

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Chinese Chemical Letters 2020年第6期31卷 1545-1549页

作者： Yating Zhu Jinfeng Ling Lei Li Xiaohong Guan State Key Laboratory of Pollution Control and Resources Reuse College of Environmental Science and EngineeringTongji UniversityShanghai 200092China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092China International Joint Research Center for Sustainable Urban Water System Tongji UniversityShanghai 200092China

The effects of bisulfite-activated permanganate technology(PM/BS)as a pre-oxidation process on enhancing Microcystis aeruginosa(***)removal by post coagulation were *** results demonstrated that pretreatment with PM/BS process effectively promoted the algae removal by coagulation with Al2(SO4)3 as the coagulant and this phenomenon was more obvious with the increase of water *** to the sole coagulation,PM/BS pre-oxidation combing with coagulation could neutralize the zeta potential of algal cells effectively,decrease the algal cell size,and lead to the formation of more compact flocs due to the in-situ generated *** effect of oxidant dosages on algal organic matter(AOM)was also studied and no obvious release of macromolecular substances was observed with the dosage of KMn04 increasing from 3.0 mg/L to 7.0 mg/L,suggesting the integrity of algal cells at a high KMn04 ***,PM/BS pre-oxidation could lead to the decrease of most analyzed disinfection by-products(DBPs)at a Al2(SO4)3 dosage of 40.0 mg/*** algae removal efficiency was also significantly enhanced by PM/BS pre-oxidation in the test using real algae-laden *** study indicated that PM/BS process might be a potential assistant technology for algae removal by subsequent coagulation.

关键词： Microcystis aeruginosa Permanganate Bisulfite Pre-oxidation Coagulation

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