检索结果-内蒙古大学图书馆

Ecological risks linked with ecosystem services in the upper reach of the Yellow River under global changes

Journal of Integrative Agriculture 2025年第3期24卷 966-983页

作者： Ruowei Li Jian Sun Guodong Han Zixuan Qi Yunhui Li Junhe Chen Wen He Mengqi Zhang Chaowei Han Jieji Duo State Key Laboratory of Tibetan Plateau Earth System Science(LATPES) Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China Key Laboratory of Grassland Resources of the Ministry of Education College of GrasslandResources and EnvironmentInner Mongolia Agricultural UniversityHohhot 010019China Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds School of EcologyEnvironment and ResourcesGuangdong University of TechnologyGuangzhou 510006China Institute for Disaster Management and Reconstruction Sichuan University–The Hong Kong Polytechnic UniversityChengdu 610207China Institute of Grassland Research Chinese Academy of Agricultural SciencesHohhot 010010China Haixi Forest Pest Control and Quarantine Center Delingha 817099China

There is growing interest in introducing ecological risks(ERs)and ecosystem services(ESs)into environmental policies and ***,the integration of ESs and ERs into actual decision-making remains *** simulated the spatiotemporal dynamics of ESs(e.g.,carbon storage,water yield,habitat quality,and soil conservation)and ERs in the upper reach of the Yellow River(URYR)from 2000 to ***,we explored their relationships by combining the InVEST model and a landscape ecological risk model with CMIP6 *** main findings showed that regional ERs change in response to land use and environmental ***,the ER area decreased by 27,673 m^(2) during 2000-2020,but it is projected to increase by 13,273,438,and 68 m^(2)under the SSP1-2.6,SSP2-4.5,and SSP5-8.5 scenarios,*** also observed remarkable spatial differences in ESs and ERs between past and future *** instance,the source area of the URYR exhibited high ESs and low ERs(P<0.001),while the ESs and ERs are declining and increasing,respectively,in the northeastern URYR(P<0.05).Finally,we proposed a spatial optimization framework to improve ESs and reduce ERs,which will support regional sustainable development.

关键词： climate change CMIP6 Yellow River basin Tibetan Plateau adaptive management sustainable development

来源：评论

学校读者我要写书评

暂无评论

Advances in human organs-on-chips and applications for drug screening and personalized medicine

引用

Fundamental Research 2025年第3期5卷 1258-1272页

作者： Zhou, Chenyang Li, Zhangjie Lu, Kangyi Liu, Yijun Xuan, Lian Mao, Hongju Wang, Xiaolin Department of Micro/Nano Electronics School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai 200240 China Institute of Medical Robotics Shanghai Jiao Tong University Shanghai 200240 China State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai 200050 China National Key Laboratory of Advanced Micro and Nano Manufacture Technology Shanghai Jiao Tong University Shanghai 200240 China National Center for Translational Medicine (Shanghai) SHU Branch Shanghai University Shanghai 200444 China

The limitations of conventional animal tests and two-dimensional cell culture hinder their advancement in fundamental research and clinical/translational applications. As an emerging alternative technology, organ-on-a-chip serves as a platform that faithfully simulates the key phenotypical, physiological, and functional features of human tissues/organs through the accurate regulation of the parameters such as physical and biochemical microenvironment, as well as cellular patterns. In this review, we mainly introduce the recent progress in the organ-on-a-chip field, including lung, gut, heart, liver, vasculature and multiorgan studies. Furthermore, we highlight the potential applications in drug screening and personalized medicine. Finally, we conclude the review by addressing the current challenges and future perspective in the technology and commercialization of organ-on-chips. We anticipate that the development of organ-on-a-chip technology will revolutionize the studies on biology and medicine by providing new understanding of mechanisms of diseases and insights into clinical therapeutics. © 2024

关键词： Drug screening Microfluidics Organ-on-a-chip Organoid Personalized medicine

来源：评论

学校读者我要写书评

暂无评论

Non-permanent Pole-to-pole Fault Restoration Strategy for Flexible DC Distribution Network

引用

Journal of Modern Power systems and Clean Energy 2021年第6期9卷 1339-1351页

作者： Zainan Li Jiandong Duan Wenchao Lu Xiaotong Du Wei Yang Siyu Tu School of Electrical Engineering Xi’an University of Technology State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University) State Grid Hubei Maintenance Company

As the structures of multiple branch lines(MBLs)will be widely applied in the future flexible DC distribution network,there is a urgent need for improving system reliability by tackling the frequent non-permanent pole-to-pole(P-P)fault on distribution lines.A novel fault restoration strategy based on local information is proposed to solve this *** strategy firstly splits a double-ended power supply network into two single-ended power supply networks through the timing difference characteristics of a hybrid direct current circuit breaker(HDCCB)entering the ***,a method based on the characteristic of the transient energy of fault current is proposed to screen the faulty branch line in each single-ended power supply ***,a four-terminal flexible DC distribution network with MBLs is constructed on PSCAD to demonstrate the efficacy of the proposed *** factors such as noise,fault location,and DC arc equivalent resistance are considered in the simulation model for *** results prove that the proposed strategy for fault restoration is effective,and features high performance and scalability.

关键词： Flexible DC distribution network pole-to-pole fault fault restoration strategy reclosing strategy transient energy of fault current

来源：评论

学校读者我要写书评

暂无评论

Short Circuit Fault Characteristics of Low Frequency AC Transmission system Based on Modular Multilevel Matrix Converter

Short Circuit Fault Characteristics of Low Frequency AC Tran...

引用

2023 International Conference on Power Energy systems and Applications, ICoPESA 2023

作者： Zhao, Zexin Han, Bin Zhao, Guoliang Xu, Yunfei Lu, Zhengang Xiang, Nianwen Wang, Shulai China Electric Power Research Institute Power System Department Beijing China State Grid Smart Grid Research Institute State Key Laboratory of Advanced Power Transmission Technology Beijing China Hefei University of Technology School of Electrical Engineering and Automation Hefei China

ISBN: (纸本)9798350345605

Compared with power frequency AC transmission and DC transmission, low frequency AC transmission has its unique advantages, which is suitable for long distance transmission, large scale renewable generation and regulation of regional power grid. The fault characteristics affect the system design and operation, which is necessary to study. From the perspective of system topology and converter control, the characteristics of three-phase short circuit fault are analyzed and a simulation model is built on PSCAD for verification in this paper. After a fault occurs, it can be divided into two stages before and after the control responses. Before the control responses, the overvoltage is generated between the terminals of branch reactors and modular capacitors discharges. After the control responses, system characteristics are related to fault location and control strategy. The control and modulation of the converter can make the low frequency and power frequency systems interact with each other. This study can provide a reference for the parameters of equipment and converter control, as well as fault protection in low frequency systems. © 2023 IEEE.

关键词： Timing circuits

来源：评论

学校读者我要写书评

暂无评论

Research on Wind Turbine Control Hardware in Loop Real-time Simulation and its Application

Research on Wind Turbine Control Hardware in Loop Real-time ...

引用

2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023

作者： Zeng, Guanming Tu, Liang Zhu, Yihua Li, Chengxiang Liu, Mingqun He, Peng State Key Laboratory of HVDC and CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangdong Provincial Key Laboratory of Intelligent Operation Control for New Energy Power System Guangdong Guangzhou China Yunnan Power Grid Co. Ltd. Electric Power Research Institute Yunnan Kunming China

ISBN: (纸本)9798350322699

With the construction of new power system, high-capacity renewable energy sources including wind power are integrated into the power system, whose transient response characteristics have a significant impact on the safe and stable operation of both renewable energy sources and power system. Real-time simulation has become an effective method to study interaction between high-capacity renewable energy sources and power system because of its high accuracy and reliability, and precise wind turbine real-time simulation model is of great significance in research mentioned above. Therefore, the wind turbine control hardware in loop (CHIL) real-time simulation method is proposed in the paper, whose feasibility and accuracy are also verified by comparing simulation data from CHIL platform and on-site testing data. It's further used in the analysis of large-scale offshore wind farm cluster and connected power system as a practical reference case. © 2023 IEEE.

关键词： control hardware in loop power system analysis real-time simulation wind turbine

来源：评论

学校读者我要写书评

暂无评论

Multi-agent Deep Reinforcement Learning Based Multi-objective Charging Control for Electric Vehicle Charging Station 7th

Multi-agent Deep Reinforcement Learning Based Multi-objectiv...

引用

7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023

作者： Gong, Jiabao Fu, Weiming Kang, Yu Qin, Jiahu Xiao, Feng Department of Automation University of Science and Technology of China Hefei230027 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing102206 China

ISBN: (纸本)9789819733279

This paper proposes a multi-agent deep reinforcement learning (MADRL) based algorithm for charging control of multiple electric vehicles (EVs) in an electric vehicle charging station (EVCS) with dynamic operations. By taking the uncertainties of EV users’ behaviors and charging prices into consideration, a Markov game with multiple objectives is first established, where the individual objective of reducing EV charging costs and the collective objective of mitigating charging load fluctuations are both studied. Then, a multi-agent actor-double-critic (MAADC) algorithm with a unified advantage actor-critic framework is proposed, where two advantage functions are designed as the local and global critics, and the integrated actor is employed to balance the learning towards the individual and collective objectives. The simulation results obtained in a delicately built EVCS environment show the effectiveness of MAADC. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Nonlinear E-field Simulation of HVDC Converter Transformer Busing and Its Structure Optimization With RBF Neural Network and NSGA-II Algorithm 13

Nonlinear E-field Simulation of HVDC Converter Transformer B...

引用

13th International Conference on Power and Energy systems, ICPES 2023

作者： He, Yongsheng Zhang, Shiling Lu, Zongxiang Wang, Pengbo State Grid Chongqing Electric Power Company Chongqing Electric Power Research Institute Chongqing China State Key Lab of Control and Simulation of Power Systems and Generation Equipment Haidian China Transmission Equipment and System Security and New Technology Dept Name of State Key Laboratory of Power Chongqing China

ISBN: (纸本)9798350345063

Static DC and PR are typical operation conditions of HVDC converter transformer bushing outlet device, moreover, the electrical parameters of RIP, transformer oil and OIP have the nonlinear relationship with E-field stress and temperature. Under the temperature gradient, the electrical parameters will modify the static DC and PR E-field distribution of the composite insulation. In order to simulate static DC and PR electric field of the composite insulation structure, this paper established the full model of the converter transformer outlet. Then, the structure parameters of converter transformer outlet have been optimized using combined RBF neural network and NSGA-II algorithm. Moreover, electric field verification calculation has been carried out under AC and PR conditions. The results show that under uniform temperature condition, E-field strength is larger than that under iso-thermal condition. The overshoot coefficient of the bushing end and barrier reach 65% and 45%, respectively. The study can provide reference for the design of outlet structure of the converter transformer. © 2023 IEEE.

关键词： DC transformers

来源：评论

学校读者我要写书评

暂无评论

Research on ASVs Formation Obstacle Avoidance Based on Virtual Structure and Artificial Potential Field

Research on ASVs Formation Obstacle Avoidance Based on Virtu...

引用

International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Chen, Yihai Zhang, Jinfen Han, Bing Ma, Feng Tian, Wuliu State Key Laboratory of Maritime Technology and Safety Shanghai Wuhan China Intelligent Transportation System Research Center Wuhan University of Technology Wuhan430070 China Shanghai Ship and Shipping Research Institute Co. Ltd. Shanghai200137 China Beibu Gulf University Qinzhou535011 China

ISBN: (纸本)9789819639649

The new mode of ship formation navigation can significantly enhance the level of ship intelligence and improve navigation efficiency. To address the obstacle avoidance problem of ship formations under obstacle-constrained environments, a control model for Autonomous Surface Vessel (ASV) formation is constructed using the virtual structure method, decomposing the formation control problem into path tracking control and path parameter coordination. Considering both dynamic/static obstacles during the navigation of ASVs formation, an obstacle avoidance control strategy based on artificial potential fields is proposed. It achieves formation maintenance and obstacle avoidance control for ASVs in complex environments. Simulation results show that ASVs can track paths in desired formation and effectively avoid obstacles. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Ships

来源：评论

学校读者我要写书评

暂无评论

Clustering and Equivalent Modeling Method for Direct-Drive Wind Farms Based on Particle Swarm Neural Network 4

Clustering and Equivalent Modeling Method for Direct-Drive W...

引用

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

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

ISBN: (纸本)9798331518066

In the realm of large-scale integration of wind farms or clusters into power grids, the fault transient characteristics of these grids have experienced significant transformations. Unfortunately, the prevalent single-machine equivalent models are inadequate in accurately depicting the fault transient behavior of wind farms or clusters. Moreover, their simulation computations are exceedingly intensive, resulting in suboptimal simulation efficiency. To address these challenges, this paper introduces a clustering and equivalent modeling approach tailored for direct-drive wind farms, leveraging the capabilities of a particle swarm neural network. Initially, a transient model for direct-drive wind turbines is formulated, and fault characteristic influence factors are established through theoretical analysis. These factors encompass the distance between the wind turbine and the point of common coupling (PCC), the implementation of DC-side current limiting measures, wind speed, and reactive power at the outlet. Following this, the Euclidean distance of the influence factor set is computed, and the initial cluster centers of wind turbines are derived using an enhanced max-min distance method. Ultimately, an equivalent clustering model is formulated by utilizing the influence factors and initial cluster centers as the training set. Simulation outcomes reveal that, in comparison to the single-machine equivalent model, this method enhances simulation efficiency by a range of 62% to 67% and reduces the steady-state error in fault current simulation by 0.8% to 1.9%. © 2024 IEEE.

关键词： Windmill

来源：评论

学校读者我要写书评

暂无评论

Aeronautical Communication Traffic Simulation Based on Kernel Density Estimation Method 12

Aeronautical Communication Traffic Simulation Based on Kerne...

引用

12th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2024

作者： Zhang, Yingxi Jiang, Dapeng Shao, Fengwei Wu, Tong Liang, Xianling Chen, Jingfeng China Ship Development and Design Center Wuhan China Shanghai Spacecom Satellite Technology Ltd. Shanghai China Shanghai Jiao Tong University Shanghai China State Key Laboratory of Avionics Integration and Aviation System-of-Systems Synthesis China

ISBN: (纸本)9798350351019

Low Earth Orbit (LEO) satellite networks have been emerging as a revolutionary solution for ubiquitous communication in the upcoming sixth generation (6 G) wireless communication network. Efficient resource allocation in these satellite networks requires precise analysis of communication traffic demand. To simulate an accurate representation of the spatial-temporal communication traffic pattern worldwide, this paper utilizes Kernel Density Estimation (KDE) to simulate aircraft positions and employs a time-varying communication intensity model. The effectiveness of this approach is validated through numerical simulation results. © 2024 IEEE.

关键词： Satellite communication systems

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：