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首页> 外文会议>Asian conference on remote sensing;ACRS >TEMPORAL ANALYSIS OF SUMMER-TIME URBAN HEAT ISLAND INTENSITY OVER FIVE METROPOLITAN CITIES IN INDIA
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TEMPORAL ANALYSIS OF SUMMER-TIME URBAN HEAT ISLAND INTENSITY OVER FIVE METROPOLITAN CITIES IN INDIA

机译：印度五个大城市夏季城市热岛强度的时间分析

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摘要

The world is undergoing an unprecedented rate of urbanization. About 70% of global energy is consumed in urban areas, which accounts for around 2% of the world's land surface. Energy consumption in urban areas correlates positively with changes in urban micro-climate which contribute to elevated air temperature compared to rural areas with the temperature differences being between 1 and 3 °C. This phenomenon is called Urban Heat Island (UHI), which is traditionally studied by measuring air temperature using thermometers. With the advent of remote sensing technology. Land Surface Temperature (LST) (which explains most of the variation in air temperature) is used to map the impact of UHI over a large area. The present study examined the intensity of UHI over five selected Indian metropolitan cities (Ahmedabad, Chennai, Delhi, Kolkata and Mumbai) for the period 1981-2016. These cities were chosen based on climate, demography and rate of urbanisation. The cloud free Landsat level 1 data sets are processed using numerical models developed by our research group. The LST intensity and its spatial and temporal variations during the summer season are appraised in this study. The statistically significant hot spot and cold spot regions were identified using Getis-Ord Gi statistical approach. The mean difference between LST estimated for the span of 25 years is showing positive trend and quantified as 10 °C, 11 °C, 18 °C, 11 °C and 13 °C in the case of Ahmedabad, Chennai, Delhi, Kolkata and Mumbai respectively. The relationship between LST and few surface characteristics is also studied. The result shows water bodies, soil moisture and greeneries plays a vital role in reducing both surface and air temperature considerably in the adjoining areas. The results of this study would help policy makers and urban planners to monitor and mitigate UHI effectively.
机译：世界正在经历前所未有的城市化速度。全球约70％的能源消耗在城市地区，约占世界陆地面积的2％。与农村地区相比，城市地区的能源消耗与城市小气候的变化呈正相关，而微气候的变化导致气温升高，而农村地区的温度差在1-3°C之间。这种现象称为城市热岛（UHI），传统上是通过使用温度计测量空气温度来研究的。随着遥感技术的出现。地表温度（LST）（解释了大部分气温变化）用于绘制UHI在大面积上的影响。本研究调查了1981年至2016年期间五个选定的印度大都市（艾哈迈达巴德，金奈，德里，加尔各答和孟买）的城市居民密集指数强度。这些城市是根据气候，人口统计学和城市化率选择的。使用我们研究小组开发的数值模型处理无云Landsat 1级数据集。本研究评估了夏季LST强度及其时空变化。使用Getis-Ord Gi统计方法确定了统计上显着的热点和冷点区域。对于艾哈迈达巴德（Ahmedab​​ad），金奈（Chennai），德里（Delhi），加尔各答（Kolkata）和孟买分别。还研究了LST与少量表面特性之间的关系。结果表明，水体，土壤水分和绿色植物在显着降低毗邻地区的地表温度和空气温度方面起着至关重要的作用。这项研究的结果将有助于政策制定者和城市规划者有效地监测和缓解UHI。

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