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巴尔的摩市内热暴露:室外温度重要吗?

Indoor heat exposure in Baltimore: does outdoor temperature matter?

机构信息

Department of Earth and Planetary Sciences, Johns Hopkins University School of Arts and Sciences, Baltimore, MD, USA.

Department of Biostatistics, Johns Hopkins University School of Public Health, Baltimore, MD, USA.

出版信息

Int J Biometeorol. 2021 Apr;65(4):479-488. doi: 10.1007/s00484-020-02036-2. Epub 2020 Oct 21.

Abstract

Heat exposure of a population is often estimated by applying temperatures from outdoor monitoring stations. However, this can lead to exposure misclassification if residents do not live close to the monitoring station and temperature varies over small spatial scales due to land use/built environment variability, or if residents generally spend more time indoors than outdoors. Here, we compare summertime temperatures measured inside 145 homes in low-income households in Baltimore city with temperatures from the National Weather Service weather station in Baltimore. There is a large variation in indoor temperatures, with daily-mean indoor temperatures varying from 10 °C lower to 10 °C higher than outdoor temperatures. Furthermore, there is only a weak association between the indoor and outdoor temperatures across all houses, indicating that the outdoor temperature is not a good predictor of the indoor temperature for the residences sampled. It is shown that much of the variation is due to differences in the availability of air conditioning (AC). Houses with central AC are generally cooler than outdoors (median difference of - 3.4 °C) while those with no AC are generally warmer (median difference of 1.4 °C). For the collection of houses with central or room AC, there is essentially no relationship between indoor and outdoor temperatures, but for the subset of houses with no AC, there is a weak relationship (correlation coefficient of 0.36). The results presented here suggest future epidemiological studies of indoor exposure to heat would benefit from information on the availability of AC within the population.

摘要

人群的热暴露通常通过应用室外监测站的温度来估计。然而,如果居民不住在监测站附近,并且由于土地利用/建筑环境的变化导致小空间尺度上的温度变化,或者如果居民通常在室内花费的时间多于室外,这可能导致暴露分类错误。在这里,我们比较了巴尔的摩市低收入家庭的 145 户家庭内测量的夏季温度与巴尔的摩国家气象局气象站的温度。室内温度变化很大,室内日平均温度比室外温度低 10°C 到高 10°C。此外,所有房屋的室内和室外温度之间的关联很弱,表明室外温度不能很好地预测采样住宅的室内温度。结果表明,大部分变化是由于空调(AC)的可用性差异造成的。装有中央 AC 的房屋通常比室外凉爽(中位数差异为-3.4°C),而没有 AC 的房屋通常更温暖(中位数差异为 1.4°C)。对于装有中央或房间 AC 的房屋集,室内和室外温度之间基本上没有关系,但对于没有 AC 的房屋子集,存在弱关系(相关系数为 0.36)。这里呈现的结果表明,未来对热暴露的室内暴露进行的流行病学研究将受益于有关人群中空调可用性的信息。

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