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	The Mesoscale SST-Wind Coupling Characteristics in the Yellow Sea and East China Sea Based on Satellite Data and Their Feedback Effects on the Ocean 期刊论文 OAI收割 JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2024, 卷号: 12, 期号: 10, 页码: 17 作者: Cui, Chaoran; Xu, Lingjing \| 收藏 \| 浏览/下载：5/0 \| 提交时间：2024/12/20 mesoscale wind-SST coupling satellite data Yellow and East China Seas Tikhonov regularization method eddy kinetic energy
	Characterization of peroxyacetyl nitrate (PAN) under different PM2.5 concentration in wintertime at a North China rural site 期刊论文 OAI收割 JOURNAL OF ENVIRONMENTAL SCIENCES, 2022, 卷号: 114, 期号: 0, 页码: 221-232 作者: Li, Zhuoyu; Xie, Guangzhao; Chen, Hui; Zhan, Bixin; Wang, Lin \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2022/11/07 KINETIC-DATA EVALUATION ATMOSPHERIC CHEMISTRY PEROXYPROPIONYL NITRATE IUPAC SUBCOMMITTEE SEASONAL-VARIATION PHOTOCHEMICAL DATA HAZE EVENTS OZONE EVOLUTION AEROSOL
	A comparative kinetic study of ethylene polymerization mediated by iron, cobalt and chromium catalysts bearing the same N,N,N-bis(imino) trihydroquinoline 期刊论文 OAI收割 JOURNAL OF CATALYSIS, 2019, 卷号: 369, 页码: 1-9 作者: Huang, CB; Zakharov, VA; Semikolenova, NV; Matsko, MA; Solan, GA \| 收藏 \| 浏览/下载：45/0 \| 提交时间：2019/04/08 2-(1-(Arylimino)ethyl]-8-arylimino-5,6,7-tri hydroquinoline Cobalt Iron Chromium Kinetic data Ethylene polymerization
	On the global solvability of the coupled kinetic-fluid system for flocking with large initial data 期刊论文 OAI收割 MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES, 2018, 卷号: 28, 期号: 1, 页码: 1-60 作者: Ha, Seung-Yeal; Huang, Bingkang; Xiao, Qinghua; Zhang, Xiongtao \| 收藏 \| 浏览/下载：67/0 \| 提交时间：2018/11/05 Coupled Kinetic-fluid System Large Initial Data Global Classical Solutions
	Modular aircraft simulation platform based on simulink (EI CONFERENCE) 会议论文 OAI收割 2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010, August 4, 2010 - August 7, 2010, Xi'an, China Chen C.-Q.; Ji Y. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 Aircraft simulation platform is the most important supporting technology in the aircraft development process. This simulation platform can be used for validating the design of subsystem and also it provides the necessary data for the Aircraft design. Wind has great impact on the flight parameter. In order to accurately simulate the wind model and calculate the flight parameters a simulation modeling method for flight parameter simulation platform under wind field environment is established. Firstly the various sub-systems which affecting flight parameters are analyzed some mathematical models of the flight parameter simulation platform is established. Secondly the atmospheric wind field is studied to analyze the impact on its trajectory. Then the model is built in the Simulink toolbox in the Matlab which is based on the principles of hierarchy and modularity using C MEX S-function for the complex kinetic equations. Finally when the models have been established encapsulating models for several subsystem and assembling them for the Aircraft simulation platform based on the unified interface. The simulation tests (including the performance test of a certain gliding Aircraft the wind influence test of a certain uncontrolled aircraft) prove the simulation capability of the platform and its calculating step can reach 1 ms. Comparing simulation with field test data of a certain uncontrolled aircraft it shows that the relative deviation of range is 0.47% the relative deviation of maximal altitude is 2.1%. Taking relevant standards as a reference standard it is demonstrated the platform is reliable meets the engineering accuracy requirements. 2010 IEEE.