首页> 外文期刊>Environment, development and sustainability >Spatiotemporal analysis of road surface temperature (RST) and building wall temperature (BWT) and its relation to the traffic volume at Jorhat urban environment, India
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Spatiotemporal analysis of road surface temperature (RST) and building wall temperature (BWT) and its relation to the traffic volume at Jorhat urban environment, India

机译:道路表面温度(RST)的时空分析及建筑墙温度(BWT)及其与Jorhat城市环境交通量的关系

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摘要

The study analyzed the pattern of building wall temperature (BWT) and road surface temperature (RST) in both urban and suburban area and its relation to traffic volume at Jorhat municipal area. The surface temperature pattern is assessed using the FLIR TG-165 spot thermal imaging camera and HTC MT-4 IR thermometer, while traffic volume is investigated through schedule survey and video recording over the selected urban roads. The study revealed a positive correlation between traffic volumes with BWT and RST, though the correlation is quite stronger with RST. The higher positive relationship between traffic volume and RST has been noticed mostly in the shadowing part of the surface, whereas on the other hand, the relationship pattern of BWT with traffic volume is also found noticeably higher at the shadowed part of the surface. In both analyses, the relationship between traffic with RST and BWT is identified as remarkably stronger at midday and afternoon period. The urban areas with maximum traffic congestion are identified as accountable for the higher BWT and RST.
机译:该研究分析了城市和郊区建筑壁温(BWT)和路面温度(RST)的模式及其与Jorhat市区交通量的关系。使用FLIR TG-165点热成像相机和HTC MT-4 IR温度计进行评估表面温度图案,而通过在所选城市道路上的时间表调查和视频录制进行调查,调查交通量。该研究揭示了BWT和RST的交通量与RST之间的正相关性,尽管相关性与RST相当强。已经注意到交通量和RST之间的较高的正关系主要是在表面的遮蔽部分中,而另一方面,BWT的关系模式在表面的阴影部分也明显较高。在这两种分析中,与RST和BWT之间的交通关系在中午和下午时期的识别出色。具有最大交通拥堵的城市地区被确定为较高的BWT和RST负责。

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