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Exploring the Spatio-temporal pattern of regional heat island (RHI) in an urban agglomeration of secondary cities in Eastern India
Urban Climate ( IF 6.4 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.uclim.2020.100679
Ipsita Dutta , Arijit Das

UHI is a global phenomenon that causes the variation in local environment. It often creates regional urban heat island (RHI). This study attempted to study these changes at regional level of English Bazar UA and its surroundings. Satellite images from 1990 to 2015 were used in this study. Four class of RHI were identified. Contribution of land use on RHI was quantified by Land contribution Index. To study the spatio-temporal patterns of RHI, nearest-neighbor ratio (NNR), Moran's Index, landscape matrices were computed. The study found (1) RHI is found in the main urban centre and also in its surroundings which forms agglomeration of RHI. (2) The result of NNR shows the value of NNR is increasing with the increase of RHI classes. The value for RHI class 2<RLST≤4 is stable over time which is categorized as high-risk areas. (3) Landscape indices also indicate that RHI class with RLST≥2 has the highest impact in the area. It occupies the largest patch index and largest patch size. Finally, this study suggests that areas with RLST>2°C may be ideal for defining RHI in other agglomerations too. This study can also help the urban planner and provide significant thoughts into urban thermal environment study.



中文翻译:

探索印度东部二线城市群中的区域热岛(RHI)的时空格局

UHI是导致局部环境变化的全球现象。它通常会创建区域城市热岛(RHI)。这项研究试图研究英语Bazar UA及其周围地区的这些变化。本研究使用1990年至2015年的卫星图像。确定了四类RHI。RHI的土地利用贡献通过土地贡献指数进行量化。为了研究RHI的时空格局,最近邻比(NNR),Moran指数,景观矩阵。研究发现(1)在主要城市中心及其周围地区都发现了RHI,这形成了RHI的集聚。(2)NNR的结果表明,随着RHI等级的增加,NNR的值在增加。RHI 2级<RLST≤4的值在一段时间内是稳定的,被归类为高风险区域。(3)景观指数还表明,RLST≥2的RHI等级对该地区的影响最大。它占用最大的补丁索引和最大的补丁大小。最后,这项研究表明,RLST> 2°C的区域对于定义其他集聚区的RHI也可能是理想的。该研究还可以帮助城市规划者,并为城市热环境研究提供重要的思路。

更新日期:2020-09-01
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