Division of Sports Science and Physical Education, North China University of Science and Technology, Tangshan 063210, China.
Division of Sports Science and Physical Education, Tsinghua University, Beijing 100084, China.
Int J Environ Res Public Health. 2021 Dec 29;19(1):320. doi: 10.3390/ijerph19010320.
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 under different temperatures, humidity and sports levels, and then recommend the best pacing strategy for rowing teams of China. The model proposed in this paper complements the absence of meteorological features in the arena environment assessment and provides an algorithm basis for improving the forecast performance of pacing strategies in outdoor sports.
掌握比赛场馆环境的信息是运动员优化身体负荷模式的前提。因此，提高比赛场馆条件的预测精度是竞技体育中的一项紧迫任务。本文挖掘了对赛艇等户外赛事有重大影响的气象特征及其对配速策略的影响。我们选取了 1979 年至 2020 年东京的气象数据，对东京 2021 年奥运会期间的气象进行预测，分析了不同温度、湿度和运动水平下运动员的配速选择，然后为中国队的赛艇队推荐最佳的配速策略。本文提出的模型弥补了比赛场馆环境评估中气象特征的缺失，为提高户外运动配速策略的预测性能提供了算法基础。
