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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
Environment, Development and Sustainability ( IF 4.7 ) Pub Date : 2020-10-17 , DOI: 10.1007/s10668-020-01047-8
Rituraj Neog , Shukla Acharjee , Jiten Hazarika

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.

中文翻译:

印度 Jorhat 城市环境中路面温度 (RST) 和建筑物壁温 (BWT) 的时空分析及其与交通量的关系

该研究分析了城市和郊区的建筑物壁温 (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 点红外热像仪和 HTC MT-4 红外温度计评估表面温度模式,同时通过选定城市道路上的时间表调查和视频记录来调查交通量。研究表明,交通量与 BWT 和 RST 之间呈正相关,但与 RST 的相关性非常强。交通量与 RST 之间较高的正相关关系主要出现在表面的阴影部分,而另一方面,在表面的阴影部分,BWT 与交通量的关系模式也明显更高。在这两种分析中,流量与 RST 和 BWT 之间的关系被认为在中午和下午时段明显更强。交通拥堵最严重的城市地区被确定为更高的 BWT 和 RST。
更新日期:2020-10-17
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