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The Value of Meteorological Data in Optimizing the Pattern of Physical Load-A Forecast Model of Rowing Pacing Strategy

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成果类型:
期刊论文
作者:
Yan, Tian;Zhu, Xiaodong;Ding, Xuesong;Chen, Liming
通讯作者:
Chen, L.
作者机构:
[Yan, Tian] North China Univ Sci & Technol, Div Sports Sci & Phys Educ, Tangshan 063210, Peoples R China.
[Zhu, Xiaodong] Tsinghua Univ, Div Sports Sci & Phys Educ, Beijing 100084, Peoples R China.
[Ding, Xuesong] Beijing Univ Posts & Telecommun, Sch Econ & Management, Beijing 100876, Peoples R China.
[Chen, Liming] Tangshan Polytech Coll, Div Sports Sci & Phys Educ, Tangshan 063299, Peoples R China.
通讯机构:
Division of Sports Science and Physical Education, Tangshan Polytechnic College, Tangshan, China
语种:
英文
关键词:
rowing;meteorological data;pacing strategy;physical load;forecast
期刊:
International Journal of Environmental Research and Public Health
ISSN:
1661-7827
年:
2022
卷:
19
期:
1
机构署名:
本校为其他机构
摘要:
Mastering the information of arena environment is the premise for athletes to optimize their patterns of physical load. Therefore, improving the forecast accuracy of the arena conditions is an urgent task in competitive sports. This paper excavates the meteorological features that have great influence on outdoor events such as rowing and their influence on the pacing strategy. We selected the meteorological data of Tokyo from 1979 to 2020 to forecast the meteorology during the Tokyo 2021 Olympic Games, analyzed the athletes’ pacing choice unde...

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