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波士顿马拉松赛的创纪录成绩:生物气象学因素

Record performances at the Boston Marathon: biometeorological factors.

作者信息

Trapasso L M, Cooper J D

机构信息

Dept. of Geography and Geology, Western Kentucky, University, Bowling Green, Ky.

出版信息

Int J Biometeorol. 1989 Dec;33(4):233-7. doi: 10.1007/BF01051083.

DOI:10.1007/BF01051083
PMID:2613367
Abstract

Air temperature and relative humidity have long been suspected of affecting the performance of marathon runners. Though these factors are important in their extremes, we show that other factors are even more indicative of race performances. Performances of the top 3 finishers in the last 30 Boston Marathons were correlated with hourly meteorological data for each race day. These 90 individual performances were classified as: record breaking performances (31), average performances (35), and unusually slow performances (24). The factors that help predict record breaking and unusually slow performances are: (i) wet bulb temperature, (ii) percent sky cover, and (iii) presence or absence of a light precipitation. Record breaking performances are characterized by a wet bulb temperature of less than 7.8 degrees C, and 100% sky cover. A light drizzle is also conducive to better performances. On the other hand, unusually low performances are accompanied by a wet bulb temperature of greater than 7.8 degrees C, and a sky cover of 50% or less. No light precipitation was recorded on any of the unusually slow race days. A graphic analysis clearly shows these relationships to exist. In addition, a multiple regression analysis confirms the importance of these variables. The authors advise that these are reliable predictors; however, when considering marathon races held in various geographical regions and differing climatic regimes, the exact numerical thresholds used here may not apply.

摘要

长期以来,人们一直怀疑气温和相对湿度会影响马拉松运动员的表现。尽管这些因素在极端情况下很重要,但我们发现其他因素对比赛成绩的指示性更强。过去30届波士顿马拉松赛中前三名完赛者的成绩与每个比赛日的每小时气象数据相关。这90个个人成绩被分类为:破纪录成绩(31个)、平均成绩(35个)和异常缓慢的成绩(24个)。有助于预测破纪录和异常缓慢成绩的因素有:(i)湿球温度,(ii)天空覆盖率,以及(iii)是否有小雨。破纪录成绩的特点是湿球温度低于7.8摄氏度,天空覆盖率为100%。小雨也有利于取得更好的成绩。另一方面,异常低的成绩伴随着湿球温度高于7.8摄氏度,天空覆盖率为50%或更低。在任何异常缓慢的比赛日都没有记录到小雨。图形分析清楚地表明了这些关系的存在。此外,多元回归分析证实了这些变量的重要性。作者建议这些是可靠的预测指标;然而,在考虑在不同地理区域和不同气候条件下举行的马拉松比赛时,这里使用的确切数值阈值可能不适用。

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