Literature DB >> 15801501

The effects of wind and altitude in the 400-m sprint.

Mike D Quinn1.   

Abstract

In this paper I use a mathematical model to simulate the effect of wind and altitude on men's and women's 4400-m race performances. Both wind speed and direction were altered to calculate the effect on the velocity profile and the final time of the sprinter. The simulation shows that for a constant wind velocity, changing the wind direction can produce a large variation in the race time and velocity profile. A wind of velocity 2 m x s(-1) is generally a disadvantage to the 400-m runner but this is not so for all wind directions. Constant winds blowing from some directions can provide favourable conditions for the one-lap runner. Differences between the running lanes can be reduced or exaggerated depending on the wind direction. For example, a wind blowing behind the runner in the back straight increases the advantage of lane 8 over lane 1. Wind conditions can change the velocity profile and in some circumstances produce a maximum velocity much later than is evident in windless conditions. Lower air density at altitude produces a time advantage of around 0.06 s for men (0.07 s for women) for each 500-m increase in elevation.

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Year:  2004        PMID: 15801501     DOI: 10.1080/02640410410001730016

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  5 in total

1.  The effect of different first 200-m pacing strategies on blood lactate and biomechanical parameters of the 400-m sprint.

Authors:  Ploutarchos J Saraslanidis; Vassilios Panoutsakopoulos; George A Tsalis; Efthymios Kyprianou
Journal:  Eur J Appl Physiol       Date:  2010-12-29       Impact factor: 3.078

Review 2.  Sprint Running Performance Monitoring: Methodological and Practical Considerations.

Authors:  Thomas Haugen; Martin Buchheit
Journal:  Sports Med       Date:  2016-05       Impact factor: 11.136

Review 3.  Effects of Altitude/Hypoxia on Single- and Multiple-Sprint Performance: A Comprehensive Review.

Authors:  Olivier Girard; Franck Brocherie; Grégoire P Millet
Journal:  Sports Med       Date:  2017-10       Impact factor: 11.136

4.  Optimizing running a race on a curved track.

Authors:  Amandine Aftalion; Pierre Martinon
Journal:  PLoS One       Date:  2019-09-05       Impact factor: 3.240

5.  A Model for World-Class 10,000 m Running Performances: Strategy and Optimization.

Authors:  Quentin Mercier; Amandine Aftalion; Brian Hanley
Journal:  Front Sports Act Living       Date:  2021-01-20
  5 in total

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