根据阿联酋阿尔ain市的环境和现场数据确定当地气候带

L. Bande, Prajowal Manadhar, P. Marpu
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引用次数: 4

摘要

在过去的二十年里,阿联酋的艾因市发展迅速。艾因位于阿拉伯联合酋长国的东南部,它的起源是一片绿洲。然而,快速的城市发展增加了建成区的数量。当地气候带(LCZ)分类根据每个气候带的相似属性提供了一个城市的地图,而WUDAPT是一个促进其分析的网络。这种方法允许开发商跟踪城市的发展。这项研究是基于卫星图像和谷歌Earth Pro。高清卫星图像用于检测每个建筑形态和区域格局的细节。然后将新城市地图与ENVI-met生成的CFD模型进行比较。这些模型基于现场调查和从Al Ain市当局获得的信息,而边界条件则基于从当地气候站获得的信息。艾因气候炎热、干旱,夏季非常干燥、炎热,城市由红沙荒漠化地区组成。东边是一座影响城市气候的岩石山。这项研究将集中在春季和夏季,因为温度的极端变化。本研究的结果是对城市热岛效应(UHI)的分析。目的是检测有问题的地区,并分析其形态。城市中树木的广泛使用改善了城市热岛的影响,尽管高速建设产生了密集的建成区。LCZ和ENVI-met模拟结果用于定义本研究中分析的每个区域的UHI水平。
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DEFINITION OF LOCAL CLIMATE ZONES IN RELATION TO ENVI-MET AND SITE DATA IN THE CITY OF AL AIN, UAE
The city of Al Ain, UAE has developed rapidly over the last two decades. Located in the south east of the United Arab Emirates, the origins of Al Ain were as an oasis. However, fast urban development has increased the number of built-up areas. Local climate zone (LCZ) classification provides a map of a city based on the similar properties of each zone, and WUDAPT is a network that facilitates its analysis. This approach allows developers to track the growth of the city. This study is based on satellite images and Google Earth Pro. High-definition satellite images are used to detect the specifics of each building morphology and district pattern. The new city map is then compared with the CFD models generated by ENVI-met. The models are based on site surveys and information taken from the authorities in the municipality of Al Ain, while the boundary conditions are based on information taken from local climate stations. Al Ain has a hot, arid climate with very dry, hot summers and the city is composed of desertified areas of red sand. To the east is a rocky mountain that affects the climate of the city. This study will focus on the spring and summer seasons due to the extreme changes in temperature. The outcome of this study is an analysis of the urban heat island effect (UHI). The aim is to detect problematic districts and to analyse their morphology. The widespread use of trees in the city improves the impact of the UHI, although the high speed of construction has produced dense, built-up areas. The LCZ and the results of ENVI-met simulations are used to define the levels of UHI in each zone analysed in this study.
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