Climate change and health: indoor heat exposure in vulnerable populations.
Climate change and health: indoor heat exposure in vulnerable populations.
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DOI：
10.1016/j.envres.2011.10.008
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发表时间：
2012-01
影响因子：
8.3
通讯作者：
O'Neill MS
中科院分区：
文献类型：
--
作者：
White-Newsome JL;Sánchez BN;Jolliet O;Zhang Z;Parker EA;Dvonch JT;O'Neill MS
在许多城市环境中，气候变化增加了热浪和炎热天气的频率。老年人更容易受到热的影响，但他们大部分时间都在室内度过。很少有发表的研究涉及老年人居住的室内热暴露。本研究的目的是探讨老年人居住的家中室外和室内温度之间的关系，并确定室内温度的其他预测因素。我们收集了30个不同家庭每小时的室内温度测量数据；我们使用混合线性回归模型来模拟室内温度对天气、住房和环境特征的响应，并评估我们基于室外条件预测室内热暴露的能力。所有地点室内平均最高温度为34.85℃，比室外平均最高温度高13.8℃。用乙烯基墙板或木墙板建造的单户住宅的室内温度比砖砌房屋对室外温度变化和内部热量增加更敏感。室外温度、太阳辐射和露点温度预测了室内温度变化的38%。底特律的室内热暴露超过了老年居住者的舒适范围，这可以通过室外温度、住房存量特征和周围环境来预测
Climate change is increasing the frequency of heat waves and hot weather in many urban environments. Older people are more vulnerable to heat exposure but spend most of their time indoors. Few published studies have addressed indoor heat exposure in residences occupied by an elderly population. The purpose of this study is to explore the relationship between outdoor and indoor temperatures in homes occupied by the elderly and determine other predictors of indoor temperature. We collected hourly indoor temperature measurements of 30 different homes; outdoor temperature, dewpoint temperature, and solar radiation data during summer 2009 in Detroit, MI. We used mixed linear regression to model indoor temperatures’ responsiveness to weather, housing and environmental characteristics, and evaluated our ability to predict indoor heat exposures based on outdoor conditions. Average maximum indoor temperature for all locations was 34.85 °C, 13.8 °C higher than average maximum outdoor temperature. Indoor temperatures of single family homes constructed of vinyl paneling or wood siding were more sensitive than brick homes to outdoor temperature changes and internal heat gains. Outdoor temperature, solar radiation, and dewpoint temperature predicted 38% of the variability of indoor temperatures. Indoor exposures to heat in Detroit exceed the comfort range among elderly occupants, and can be predicted using outdoor temperatures, characteristics of the housing stock and surroundings
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影响因子：
56.9
作者：
Meehl, GA;Tebaldi, C
通讯作者：
Tebaldi, C
影响因子：
6.7
作者：
Evans, JM
通讯作者：
Evans, JM
影响因子：
5
作者：
O'Neill, MS;Zanobetti, A;Schwartz, J
通讯作者：
Schwartz, J
DOI：
10.1175/1520-0450(2001)040
发表时间：
2001-01-01
期刊：
JOURNAL OF APPLIED METEOROLOGY
影响因子：
--
作者：
Robinson, PJ
通讯作者：
Robinson, PJ