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Machine Learning−based Weather Support for the 2022 Winter Olympics 被引量:10
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作者 Jiangjiang XIA Haochen LI +14 位作者 Yanyan KANG Chen YU Lei JI Lve WU Xiao LOU guangxiang zhu Zaiwen Wang Zhongwei YAN Lizhi WANG Jiang zhu Pingwen ZHANG Min CHEN Yingxin ZHANG Lihao GAO Jiarui HAN 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2020年第9期927-932,共6页
1.A key support for the 2022 Winter Olympics The XXIV Olympic Winter Games are scheduled to take place from 4 to 22 February 2022,followed by the Paralympic Games from 4 to 13 March,in Beijing and towns in the neighbo... 1.A key support for the 2022 Winter Olympics The XXIV Olympic Winter Games are scheduled to take place from 4 to 22 February 2022,followed by the Paralympic Games from 4 to 13 March,in Beijing and towns in the neighboring Hebei Province,China.Weather plays an extremely important role in the outcome of the games(Chen et al.,2018).It can not only cause a difference between a medal or not,but affect the safety of athletes.Success of the Winter Olympics will greatly depend on weather conditions at the outdoor competition venues,dealing with many weather elements including the snow surface temperature,apparent temperature,gust wind speed,snow,visibility,etc.To ensure that the scheduled games go smoothly,it is imperative to have hourly or even every 10-minutely forecasts as well as updated weather-related risk assessments at the venues for the next 240 hours.So far,the Beijing/Hebei Meteorological Observatory has already started intelligent weather forecasting at 3-km resolution based on the results of numerical weather prediction(NWP)models.However,these experiments have suggested that the current forecasting techniques are incapable of capturing the complex mountain weather variations around some venues.The forecasting capability of NWP is constrained partly by limited knowledge of the local weather mechanisms. 展开更多
关键词 WEATHER forecasting smoothly
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Effect of BNNTs/matrix interface tailoring on toughness and fracture morphology of hierarchical SiC_f/SiC composites 被引量:6
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作者 guangxiang zhu Qian FENG +5 位作者 Jinshan YANG Jianbao HU Hongda WANG Yudong XUE Qingliang SHAN Shaoming DONG 《Journal of Advanced Ceramics》 SCIE CSCD 2019年第4期555-563,共9页
A thin BN interphase is applied on BNNTs surface to tailor the interfacial bonding between BNNTs and SiC matrix in hierarchical SiCf/SiC composites. The thickness of BN interphase ranging from 10 to 70 nm can be optim... A thin BN interphase is applied on BNNTs surface to tailor the interfacial bonding between BNNTs and SiC matrix in hierarchical SiCf/SiC composites. The thickness of BN interphase ranging from 10 to 70 nm can be optimized by chemical vapor deposition after BNNTs are in situ grown on SiC fiber surface. Without BN interphase, the fracture toughness of hierarchical Si Cf/Si C composites can be impaired by 13.6% due to strong interfacial bonding. As long as BN interphase with 30–45 nm thickness is applied, the interfacial bonding can be optimized and fracture toughness of hierarchical composites can be improved by 27.3%. It implies that tailoring BNNTs/matrix interface by depositing a layer of BN interphase is in favor of activating energy dissipation mechanisms at nanoscale induced by BNNTs. 展开更多
关键词 boron NITRIDE nanotubes(BNNTs) INTERFACE nanocomposites TOUGHNESS and TOUGHENING
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