Theory Mathematics and Physics Model Fitting of Kinematic Parameter for Usain Bolt 100 Metres Sprint at Beijing Olympic Games 2008

2019 ◽  
Vol 886 ◽  
pp. 201-205
Author(s):  
Nichapat Thongsit ◽  
Yosita Sangnok ◽  
Wannee Wannapak ◽  
Kan Khoomsab ◽  
Surachest Iamsamang ◽  
...  
Keyword(s):  
Kinetic Energy ◽  
Olympic Games ◽  
Model Fitting ◽  
Kinematic Parameter ◽  
Time Dependent ◽  
Mechanical Power ◽  
Beijing Olympic Games ◽  
Acceleration Time ◽  
Physics Model ◽  
Mathematics And Physics

In this paper, we develop a mathematical and physics model or formula of displacement-time dependent, velocity-time dependent, acceleration-time dependent, kinetic energy-time dependent and mechanical power-time dependent for Usain Bolt in the 100 m sprint at Beijing olympic games 2008. We use data of distance, velocity, time for Usain Bolt from Mackata Krzysztof and Antti Mero analysis kinematic parameter of Usain Bolt to compare the mathematical and physics model. The mathematical and physics model corresponding velocity, and acceleration as shown in the book entitled Introduction to sport biomechanics of Roger Bartlett(pp.83-92).

Comparison of the Mathematics and Physics Models Fitting of Velocity Time-Dependent for Usain Bolt in the 100 Metres Sprint

2017 ◽  
Vol 31 ◽  
pp. 11-21 ◽  
Author(s):  
Artit Hutem ◽  
Aunchana Chansrakaew ◽  
Tanaporn Sornchai ◽  
Supaporn Hutem
Keyword(s):  
Mass Velocity ◽  
Research Study ◽  
Olympic Games ◽  
Center Of Mass ◽  
Research Paper ◽  
Kinematic Parameter ◽  
Applied Force ◽  
Time Dependent ◽  
Beijing Olympic Games ◽  
Mathematics And Physics

In this research paper, we will develop a theory about the mathematical and physics models for the velocity-time of Usain Bolt in the 100 metres sprint during the Beijing olympic games 2008, Berlin world championships in Athletics 2009, and London olympic in 2012. We will use data from Usain Bolt’s distance, velocity and time as shown in K. Mackata and M. Antti research study of Usain Bolt’s kinematic parameter and will analyze them using mathematical and physics models in order to formulate a theoretical equations showing the power vitality of the sprinter value and his speed endurance as well. We will also use the Introduction to Sport Biomechanics by Roger Bartlett (pp.83-92) which covers the study of the hypothetical center of mass velocity time-dependent. And the comparison of the applied force is time-dependent oscillator which are all obtained from the mathematical and physics models1 and the applied force is time-dependent oscillator in mathematical and physics models2 and the experimentation done by in figure (1)-(3)

scholarly journals Status of Beijing Olympic Games Brands in Establishment of a Sports Power

2011 ◽  
Vol 7 (6) ◽  
Author(s):  
Houzhong Jin ◽  
Hongquan Li ◽  
Guoying Yuan
Keyword(s):  
Olympic Games ◽  
Beijing Olympic Games

scholarly journals Emission controls versus meteorological conditions in determining aerosol concentrations in Beijing during the 2008 Olympic Games

2011 ◽  
Vol 11 (23) ◽  
pp. 12437-12451 ◽  
Author(s):  
Y. Gao ◽  
X. Liu ◽  
C. Zhao ◽  
M. Zhang
Keyword(s):  
Olympic Games ◽  
Regional Scale ◽  
Emission Control ◽  
Meteorological Conditions ◽  
Control Measures ◽  
Total Particulate Matter ◽  
Beijing Olympic Games ◽  
Budget Analysis ◽  
Emission Controls ◽  
2008 Beijing Olympic Games

Abstract. A series of emission control measures were undertaken in Beijing and the adjacent provinces in China during the 2008 Beijing Olympic Games on 8–24 August 2008. This provides a unique opportunity for investigating the effectiveness of emission controls on air pollution in Beijing. We conducted a series of numerical experiments over East Asia for the period of July to September 2008 using a coupled meteorology-chemistry model (WRF-Chem). Model can generally reproduce the observed variation of aerosol concentrations. Consistent with observations, modeled concentrations of aerosol species (sulfate, nitrate, ammonium, black carbon, organic carbon, total particulate matter) in Beijing were decreased by 30–50% during the Olympic period compared to the other periods in July and August in 2008 and the same period in 2007. Model results indicate that emission controls were effective in reducing the aerosol concentrations by comparing simulations with and without emission controls. In addition to emission controls, our analysis suggests that meteorological conditions (e.g. wind direction and precipitation) were also important in producing the low aerosol concentrations appearing during the Olympic period. Transport from the regions surrounding Beijing determined the daily variation of aerosol concentrations in Beijing. Based on the budget analysis, we suggest that to improve the air quality over Beijing, emission control strategy should focus on the regional scale instead of the local scale.

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