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Urban Heat Island Assessment with Temperature Maps Using High Resolution Datasets Measured at Street Level

机译:使用街道上测得的高分辨率数据集的温度图进行城市热岛评估

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The impact of heat on human health has been subject of many studies showing that during extreme weather events, mortality increases in urban areas. Cities, such as New York, form heat islands all year round. This is primarily due to land surface modifications, radiative trapping in urban canyons and lack of cooling through evapotranspiration caused by displaced trees and vegetation. Urban Heat Island (UHI) refers to an increase in air and surface temperature in urban centers compared to surrounding suburban and rural areas. Large scale environmental forcing can cause subdivisions of UHI throughout a city. The combined effects leads to the formation of hot pockets within the cities at micro-scale and it is difficult to pick out these physically defined regions using satellite remote sensing which has traditionally focused on regional and global scale. The highest spatial resolution available on an environmental satellite is 30 meters in visible and 60-100 meters in thermal infrared bands. The main challenge in using satellite data to study UHI in urban environment is the complexity of the system and lack of information on near surface air temperature in fine scale. This work consists of high resolution data sets measured at the street level in Manhattan, New York to produce temperature maps showing smallest hotspots which could not be identified using high resolution satellite. Data from two consecutive years of field campaigns at street level, plus various significant parameters that control temperature in an urban setting such as building height, building density, vegetation, water, elevation and albedo were used to create temperature maps using statistical model to locate hot spots in the system.
机译:热量对人体健康的影响已成为许多研究的主题,这些研究表明,在极端天气事件中,城市地区的死亡率会增加。纽约等城市终年形成热岛。这主要是由于土地表面的变化,城市峡谷中的辐射陷阱以及由于树木和植被的移位而引起的蒸散作用而缺乏冷却。城市热岛(UHI)是指与周围的郊区和农村地区相比,城市中心的空气和地表温度升高。大规模的环境强迫可能导致整个城市的UHI细分。这些综合效应导致在微观规模的城市中形成热区,并且难以使用传统上集中于区域和全球规模的卫星遥感技术来挑选出这些物理上定义的区域。环境卫星上可​​用的最高空间分辨率是:可见光30米,热红外波段60-100米。在城市环境中使用卫星数据研究超高热的主要挑战是系统的复杂性以及缺乏精细尺度的近地表气温信息。这项工作包括在纽约曼哈顿街头水平测量的高分辨率数据集,以生成显示最小热点的温度图,这些热点无法使用高分辨率卫星识别。使用连续两年在街道一级进行的野外活动的数据,以及控制城市环境中的温度的各种重要参数(例如建筑物高度,建筑物密度,植被,水,海拔和反照率),使用统计模型来创建温度图,以定位热点系统中的斑点。

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