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SSRN 2024年

作者： Wang, Zuobin Zhang, Qingbo Liu, Misha Yin, Jifu Mao, Xiaodan Hong, Guojun Cai, Xiang Zhang, Zhiqiang Xia, Siqing National Engineering Research Center of Dredging Technology and Equipment Key Laboratory of Dredging Technology CCCC Shanghai200082 China State Key Laboratory of Pollution Control and Resource Reuse Key Laboratory of Urban Water Supply Water Saving and Water Environment Governance in the Yangtze River Delta of Ministry of Water Resources College of Environmental Science and Engineering Tongji University Shanghai200092 China Ocean College Zhejiang University Hangzhou310058 China College of Geography and Environmental Sciences Zhejiang Normal University Jinhua321004 China

Significant quantities of saline sediments are dredged annually as part of coastal engineering and harbor maintenance operations. The valorization of saline dredged materials (DM) is highly important for minimizing environmental damage and promoting sustainable development. Using DM for geopolymer production has emerged as a sustainable alternative to saline DM disposal. Nevertheless, the impact of the salt content in DM on the process of geopolymer synthesis remains uncertain. This study synthesized geopolymers by mixing DM with fly ash (FA) and ground granulated blast furnace slag (GGBS), as well as an alkaline activator, and investigated the influence of salt content on the efflorescence and compressive strength properties of the produced geopolymers. The findings demonstrated that it is feasible to make a DM-FA/GGBS geopolymer with satisfactory resistance to efflorescence and compressive strength, as long as the salt content in DM remains below 2%. An excessive salt content led to the oversaturation of sodium chloride (NaCl), resulting in NaCl crystal formation both on the surface and within the produced geopolymer. The presence of an excessive amount of sodium ions inhibited the geopolymerization reaction, causing a reduction in the length of the geopolymer chains and the loosening of the geopolymer matrix. This could potentially lead to a decrease in the compressive strength of the DM-based geopolymer. Furthermore, a response surface methodology (RSM) study was performed to investigate the effects and interactions of DM addition, Na2O concentration, and activator modulus. The results demonstrated that the interaction effect of DM addition and Na2O concentration on the compressive strength was significant. © 2024, The Authors. All rights reserved.

关键词： Compressive strength

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Density-Functional Theory Study of Snse/Gese Heterostructure for Gaseous Sulfur Hexafluoride Decomposition Products Sensing

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SSRN 2024年

作者： Shi, Yijie Hao, Jiongyue Dong, Yingchun Guo, Xuezheng Liang, Chengyao Kibet, Evans He, Yuhui Ge, Liang Gao, Chao Miao, Xiangshui Meng, Gang He, Yong Key Laboratory of Optoelectronic Technology and Systems The Education Ministry of China College of Optoelectronic Engineering Chongqing University Chongqing400044 China State Key Laboratory of Coal Mine Disaster Dynamic and Control Chongqing University Chongqing400044 China School of Integrated Circuits Huazhong University of Science and Technology Wuhan430074 China College of Mechanical and Electronic Engineering Southwest Petroleum University Chengdu610500 China Key Laboratory of Photovoltaic and Energy Conservation Materials Anhui Institute of Optics and Fine Mechanics Chinese Academy of Sciences Hefei230031 China

Partial discharge and local overheating will lead to the decomposition of superior dielectric gas sulfur hexafluoride (SF6) used in gas insulated substations (GIS). Detecting SF6 decomposition gases by gas sensors to diagnose early latent insulation failures is a potential approach to guarantee safety and reliability of GIS. However, the main difficulties lie in sensitivity, operating temperature and sulfur poisoning of the sensor. Metal oxide semiconductor-based gas sensors suffer from high working temperature and sulfur poisoning. Two-dimensional selenides have shown the potential of room temperature gas sensing. Compared with pristine materials, heterostructures usually have narrower band gaps and higher carrier mobility, which promise sensitivity. In this work, a SnSe/GeSe van der Waals heterostructure model is constructed to investigate the gas sensing properties by density functional theory calculations. The SnSe/GeSe heterostructure exhibits huge adsorption energy and comparatively large charge transfer to the SF6 decomposition gases. The calculation results suggest that the excellent sensing properties are contributed to the synergistic effect between the SnSe and the GeSe layers. Besides, the physical adsorption avoids sulfur poisoning of the material. This study provides theoretical bases for the repeatable detection of SF6 decomposition products by SnSe/GeSe heterostructure and its potential in the design of electronic noses. © 2024, The Authors. All rights reserved.

关键词： Density functional theory

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Large potential of strengthening the land carbon sink in China through anthropogenic interventions

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Science Bulletin 2024年第16期69卷 2622-2631页

作者： Xu Yue Hao Zhou Yang Cao Hong Liao Xiaofei Lu Zhen Yu Wenping Yuan Zhu Liu Yadong Lei Stephen Sitch Jürgen Knauer Huijun Wang Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment TechnologySchool of Environmental Science and EngineeringNanjing University of Information Science&Technology(NUIST)Nanjing 210044China College of Meteorology and Oceanography National University of Defense TechnologyChangsha 410073China Jiangsu Nanjing Environmental Monitoring Center Nanjing 210013China Key Laboratory of Agrometeorology of Jiangsu Province Institute of EcologySchool of Applied MeteorologyNUISTNanjing 210044China Institute of Carbon Neutrality Sino-French Institute for Earth System ScienceCollege of Urban and Environmental SciencesPeking UniversityBeijing 100871China Department of Earth System Science Tsinghua UniversityBeijing 100084China State Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of CMA Chinese Academy of Meteorological SciencesBeijing 100081China College of Life and Environmental Sciences University of ExeterExeter EX44RJUK Hawkesbury Institute for the Environment Western Sydney UniversityPenrith 2751Australia Key Laboratory of Meteorological Disaster Ministry of EducationJoint International Research Laboratory of Climate and Environment ChangeCollaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNUISTNanjing 210044China

The terrestrial ecosystem in China mitigates 21%-45%of the national contemporary fossil fuel CO_(2) emissions every *** and strengthening the land carbon sink is essential for reaching China’s target of carbon ***,this sink is subject to large uncertainties due to the joint impacts of climate change,air pollution,and human ***,we explore the potential of strengthening land carbon sink in China through anthropogenic interventions,including forestation,ozone reduction,and litter removal,taking advantage of a well-validated dynamic vegetation model and meteorological forcings from 16 climate *** anthropogenic interventions,considering Shared Socioeconomic Pathways(SSP)scenarios,the land sink is projected to be 0.26-0.56 Pg C a^(-1) at 2060,to which climate change contributes 0.06-0.13 Pg C a^(-1) and CO_(2) fertilization contributes 0.08-0.44 Pg C a^(-1) with the stronger effects for higher emission *** anthropogenic interventions,under a close-to-neutral emission scenario(SSP1-2.6),the land sink becomes 0.47-0.57 Pg C a^(-1) at 2060,including the contributions of 0.12 Pg C a^(-1) by conservative forestation,0.07 Pg C a^(-1) by ozone pollution control,and 0.06-0.16 Pg C a^(-1) by 20%litter removal over planted *** sink can mitigate 90%-110% of the residue anthropogenic carbon emissions in 2060,providing a solid foundation for the carbon neutrality in China.

关键词： Carbon sink Forestation Ozone Litter removal

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Synergistic Removal of Total Petroleum Hydrocarbons and Antibiotic Resistance Genes in Yellow River Delta Wetlands Contaminated Soil Composting Regulated by Biogas Slurry Addition

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SSRN 2024年

作者： He, Liangzi Wang, Yan Xi, Beidou Zhao, Xinyu Cai, Danmei Sun, Yiwen Du, Yuewei Zhang, Chuanyan State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing100012 China State Environmental Protection Key Laboratory of Hazardous Waste Identification and Risk Control Chinese Research Academy of Environmental Sciences Beijing100012 China College of Life Science Northeast Agricultural University Harbin150030 China School of Environmental Science and Engineering Guilin University of Technology Guilin541000 China

The interactive effects between the emerging contaminant antibiotic resistance genes (ARGs) and the traditional pollutant total petroleum hydrocarbons (TPH) in contaminated soils remain unclear. The synergistic removal of TPH and ARGs from composted contaminated soil, along with the microbial mechanisms driven by the addition of biogas slurry, have not yet been investigated. This study explored the impact of biogas slurry on the synergistic degradation mechanisms and bacterial community dynamics of ARGs and TPH in compost derived from contaminated soil. The addition of biogas slurry resulted in a reduction of targeted ARGs and mobile genetic elements (MGEs) by 9.96%-95.70% and 13.32%-97.66%, respectively. Biogas slurry changed the succession of bacterial communities during composting, thereby reducing the transmission risk of ARGs. Pseudomonas, Cellvibrio, and Devosia were identified as core microorganisms in the synergistic degradation of ARGs and TPH. According to the partial least squares path model, temperature and NO3- indirectly influenced the removal of ARGs and TPH by directly regulating the abundance and composition of host microbes and MGEs. In summary, the results of this study contribute to the high-value utilization of biogas slurry and provide methodological support for the low-cost remediation of contaminated soils. © 2024, The Authors. All rights reserved.

关键词： Contamination

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Experimental Research on Bolt-Strengthening Effect Under Static and Dynamic Coupled Loading with Sand-Powder 3d Printing

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SSRN 2024年

作者： Wu, Xingyu Jiang, Lishuai Tao, Ming Mitri, Hani S. Xiang, Gongliang State Key Laboratory of Mining Disaster Prevention and Control Shandong University of Science and Technology Qingdao266590 China School of Resources and Safety Engineering Central South University Changsha410083 China Department of Mining and Materials Engineering McGill University MontrealH3A0E8 Canada

In deep mining, surrounding rock mass are subjected to high in-situ stress and dynamic loading, which leads to the difficulties in maintaining the roadway stability. Therefore, it is important to investigate the mechanical characteristics of rock bolts and their ability to enhance stability when exposed to static and dynamic coupled loading (SDCL). Split Hopkinson pressure bar (SHPB) used in this research to conduct SDCL testing on 3D printing specimens with varying bolted lengths. The strength characteristics with different bolted lengths under SDCL of specimens were explored. The macroscopic fragmentation and microscopic electron microscope scanning were used to reveal the dynamic failure characteristics of specimens. The study shows that static, dynamic and combined strength are positively correlated with bolted length. The bolted length used will have a significant effect on the strength of the specimens when subjected to different loading conditions. The dynamic strength is negatively correlated with the axial stress, and the combined strength initially increases and then subsequently decreases as the axial stress increases. The dynamic strength and the combined strength are positively correlated with the impact pressure. With an increase in both static and dynamic loads, the fragmentation becomes progressively finer while the impact of dynamic loads outweighs that of static loads. Efficient prevention of specimen fracture was achieved by increasing the length of the bolted connection. It can be found that at the meso-scale, when the specimen is only under the static loads, the cross-section particles are fractured along particle bonding, and under the SDCL, there are two failure modes of fracture along particle bonding and fracture through particle. The conclusions obtained can offer a theoretical foundation for investigating the disaster mechanism and stability control of the surrounding rock in a deep dynamic pressure roadway. © 2024, The Authors. All rights

关键词： Bolts

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A Faster Neural Network for High-speed Railroad Environment Safety Hazard Segmentation and Risk Evaluation Using UAV Imagery

A Faster Neural Network for High-speed Railroad Environment ...

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Prognostics and System Health Management Conference (PHM-Qingdao)

作者： Pengshuai Liu Fanteng Meng Yong Qin Changhong Shao Huaizhi Yang Yulin Ma Zhonghua Gou State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Beijing China Key Laboratory of Railway Industry of Proactive Safety and Risk Control Beijing Jiaotong University Beijing China Beijing-Shanghai High Speed Railway Company Limited Beijing China Jinan West Engineering Section China Railway Jinan Bureau Group Company Limited Jinan China

ISBN: (数字)9798350354010

ISBN: (纸本)9798350354027

Environmental safety hazards along the high-speed railroad (e.g. rubbish, plastic tarps, and temporary dwellings) will threaten the safety operation of train. However, existing deep learning-based approaches are constrained by scale-significance differences in safety hazards and limited semantic information, as well as inadequate risk evaluation of hazard instances. This paper proposes a faster neural network named FRESeg for environment safety hazard segmentation and risk evaluation using UAV (Unmanned Aerial Vehicle) imagery. Firstly, a novel cross stage partial connection module integrating partial convolution is developed and assembled into the FRESeg for mining rich feature information while keeping a low latency. Second, an image-to-real-world mapping model taking advantage of key UAV parameters (such as, flight altitude, lens focal length, etc.) is also integrated in the FRESeg for more complete estimation of risk distance and area. Finally, the comprehensive experiment results utilizing the complex UAV high-speed railroad dataset show that proposed method acquires a faster inference speed yet maintains a higher detection rate.

关键词： Training Image segmentation Neural networks Evaluation models Semantics Autonomous aerial vehicles Hazards Reliability Low latency communication Unsupervised learning

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Consistent and Asymptotically Efficient Localization from Range-Difference Measurements

arXiv

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arXiv 2023年

作者： Zeng, Guangyang Mu, Biqiang Shi, Ling Chen, Jiming Wu, Junfeng The School of Data Science Chinese University of Hong Kong Shenzhen Shenzhen China The Department of Automation University of Science and Technology of China Hefei China Key Laboratory of Systems and Control Institute of Systems Science Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China The Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong The College of Control Science and Engineering The State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou310027 China

We consider signal source localization from range-difference measurements. First, we give some readily-checked conditions on measurement noises and sensor deployment to guarantee the asymptotic identifiability of the model and show the consistency and asymptotic normality of the maximum likelihood (ML) estimator. Then, we devise an estimator that owns the same asymptotic property as the ML one. Specifically, we prove that the negative log-likelihood function converges to a function, which has a unique minimum and positive definite Hessian at the true source's position. Hence, it is promising to execute local iterations, e.g., the Gauss-Newton (GN) algorithm, following a consistent estimate. The main issue involved is obtaining a preliminary consistent estimate. To this aim, we construct a linear least-squares problem via algebraic operation and constraint relaxation and obtain a closed-form solution. We then focus on deriving and eliminating the bias of the linear least-squares estimator, which yields an asymptotically unbiased (thus consistent) estimate. Noting that the bias is a function of the noise variance, we further devise a consistent noise variance estimator that involves 3-order polynomial rooting. Based on the preliminary consistent location estimate, a one-step GN iteration suffices to achieve the same asymptotic property as the ML estimator. Simulation results demonstrate the superiority of our proposed algorithm in the large sample case. Copyright © 2023, The Authors. All rights reserved.

关键词： Iterative methods

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Parallel Theaters in CPSS: From Shadows of ISDOS to Intelligence of Decision Theaters

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IEEE/CAA Journal of Automatica Sinica 2025年第6期12卷 1059-1062页

作者： Qinghua Ni Buday Viktória Fei Lin Jun Huang Levente Kovács Nan Zheng Fei-Yue Wang Department of Engineering Science Faculty of Innovation Engineering Macau University of Science and Technology Macau China Innovation Management Doctoral School Obuda University Budapest Hungary John von Neumann Faculty of Informatics Obuda University Budapest Hungary State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China DeSci Center of Parallel Intelligence and the University Research and Innovation Center at Obuda University State Key Laboratory for Management and Control of Complex Systems Chinese Academy of Sciences Beijing China

As Artificial Intelligence (AI) is moving fast from Large Language Models (LLMs) to AI Agents and Agentic Intelligence, the need to incorporate new AI into Decision Intelligence (DI) is becoming more and more urgent for both practical and theoretic reasons: both decision and process complexities would be significantly increased due to the use of advanced AI tools and agents, and both traditional and recent thinking must be rethought and reconstructed accordingly. Our perspective would like to address this important issue based on some historical milestone developments in Computer-Aided Software engineering (CASE) and recent efforts in digital theatrical technology [1].

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LVRT During-fault-stage Equilibrium Point is Unnecessary for Renewable Grid-tied Systems

LVRT During-fault-stage Equilibrium Point is Unnecessary for...

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Power System and Green Energy Conference (PSGEC)

作者： Yayao Zhang Min Cheng Meng Zhan Jiawei Yu Yihua Zhu Mingkang Wu State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China Yunnan Power Grid China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid China National Energy Power Grid Technology R&D Centre Electric Power Research Institute China Southern Power Grid China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Electric Power Research Institute China Southern Power Grid China

ISBN: (数字)9798350365573

ISBN: (纸本)9798350365580

Transient synchronous stability of renewable grid- tied systems is of paramount importance. Most of previous studies focused on the grid-tied converter in the low voltage ride through (LVRT) during-fault stage and performed stability analysis based on the belief that if the system has (or has no) a stable equilibrium point in the during-fault stage, the system will be stable (or unstable). Therefore, it has been broadly accepted that the existence and/or stability of equilibrium point in the during-fault stage is necessary. However, the whole LVRT contains four different stages and the during-fault stage is only one among them. The transient synchronous stability of whole system should be determined by the initial state in the late post-fault stage and the attraction basin of its equilibrium point. The late post-fault stage is essential for stability and all four stages are important. Clearly treating the during-fault stage as the whole LVRT stages makes the nonlinear switched dynamics problem be greatly simplified and, certainly, is incomplete. In order to clarify this point, this paper analyzes the influence of existence (or nonexistence) of equilibrium point in the during-fault stage on the transient synchronous stability of permanent magnet synchronous generator grid-tied system. We can find that the existence of an equilibrium point in the during-fault stage is only a sufficient condition, rather than a necessary condition. The theoretical analysis is also verified in the hardware-in-the-loop experiment Therefore, a large number of previous studies and results on the transient synchronous stability of renewable grid-tied systems are incomplete and questionable.

关键词： Sufficient conditions Stability criteria Switches Voltage Power system stability Synchronous generators Permanent magnets Nonlinear dynamical systems Transient analysis Magnetic switching

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Research on Power Electronics Converter Real-time Simulation Modeling Method Based on SILDP

Research on Power Electronics Converter Real-time Simulation...

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Power Science and Technology (ICPST), IEEE International Conference on

作者： Jin Liu Pengbo Han Zeqi Hong Hui Luo Siyang An Shujun Yao School of Electrical and Electronic Engineering North China Electric Power University Beijing China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

Generally, detailed model of power electronics converter is used in electromagnetic transient simulations. It will use large sources of hardware in FPGA and the speed of simulation is slow. This paper is focus on the modeling method of real-time simulation, and proposed a new model of converter which based on the semi-implicit latency decoupling and paralleling (SILDP) technology. According to the proposed model, the SILDP model of voltage source converter(VSC) is build up. Base on the comparative between the SILDP VSC model and the simulation result waveform of PSCAD model, give the verification that the accuracy and effectiveness of the proposed SILDP VSC model. Finally, the SILDP VSC model is finished the verification in the FPGA experiment platform.

关键词： Accuracy Computational modeling Simulation Voltage Mathematical models Real-time systems Numerical models

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