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An Investigation into the Spatial Variability of Near-Surface Air Temperatures in the Detroit, Michigan, Metropolitan Region

机译:密歇根州都会区底特律市近地面气温的空间变异性调查

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On an annual basis, heat is the chief cause of weather-related deaths in the United States. Therefore, understanding the temperature structure where people live is important for reducing the health burden imposed by hot weather. This study focused on the air temperatures in the Detroit, Michigan, metropolitan region during the summer of 2009. An observational network was established that included 1) monitors sited in the backyards of residential participants, 2) National Weather Service standard observations, and 3) a network of monitors operated by the State of Michigan. Daily high and low temperatures were analyzed for spatial pattern, magnitude of spatial variability, and relationships with weather conditions. The existence of spatial variability was confirmed specifically during weather that was considered to be dangerous to public health. The relationships between temperature observations and distance to water, distance to city center, and local percent of impervious surface were investigated. The spatial variability during the daily low was typically stronger in magnitude and the spatial pattern was more consistent than were those during the daily high. The largest correlation with land-cover and location attributes was between values of percent of impervious surface and daily low temperatures. Daily high temperatures were most correlated with distance to water. Consistent with previous studies on spatial variability in urban environments, the results suggest a need for sensitivity to the spatially variable nature of exposure to heat events in both public health and urban planning. For example, these results showed that the downtown area experienced elevated temperatures during nights and that the eastern portions of Detroit experienced decreased temperatures during afternoons.
机译:每年,热量是美国与天气有关的死亡的主要原因。因此,了解人们居住的温度结构对于减轻炎热天气造成的健康负担很重要。这项研究的重点是2009年夏季密歇根州底特律都会区的气温。建立了一个观测网络,其中包括1)安置在居民参与者后院的监视器,2)国家气象局的标准观测值和3)由密歇根州运营的监视器网络。分析每日的高温和低温的空间格局,空间变异性的大小以及与天气状况的关系。特别是在认为对公共健康构成危险的天气期间,确认了空间变异性的存在。研究了温度观测值与距水的距离,距市中心的距离以及不透水表面的局部百分比之间的关系。与每日高点相比,每日低点期间的空间变异性通常更强,空间格局更一致。与土地覆盖物和位置属性的最大相关性是在不透水表面的百分比与每日低温之间的百分比值之间。每日高温与到水的距离最相关。与先前关于城市环境中空间变异性的研究一致,结果表明在公共卫生和城市规划中都需要对热事件暴露的空间变异性敏感。例如,这些结果表明,市中心地区夜间气温升高,底特律东部地区下午气温降低。

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