Impact of land-use dynamics on land surface temperature in Mumbai city, India: A geospatial approach

S. Waghchaure, R. Vijay, J. Dey, C. Thakre
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Abstract

To assess and monitor the environmental dynamics on a regional or global scale, Land Surface Temperature (LST) has been estimated for South Mumbai, using Landsat data for the years 2000, 2010, 2015, and 2020. The urban heat island (UHI) effect has also been assessed by analysing the LST pattern in the study area. The normalized difference vegetation index (NDVI) analysis shows that LST and UHI effects are less when vegetation cover is high. On the contrary, the normalized difference built-up index (NDBI) is directly proportional to LST which indicates the impact of human activities on LST as well as UHI. The relationship between LST of the study area and ambient air temperature has shown a strong correlation with an increasing trend of LST from 2000 to 2020. The study reveals that the average LST of Mumbai has been increased from 27.1 to 32.7 °C in the last twenty years. The ward-wise temperature profile analysis has been carried out to address the worst thermal discomfort zone and associated population. The study suggests increasing the green space for maintaining the average LST in Mumbai. This study provides a baseline for future studies like LST and human health, climate change, assessment of the ecological status, etc. of the urban environment.
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印度孟买城市土地利用动态对地表温度的影响:地理空间方法
为了评估和监测区域或全球尺度上的环境动态,利用2000年、2010年、2015年和2020年的Landsat数据估算了孟买南部的地表温度(LST)。通过分析研究区地表温度分布,对城市热岛效应进行了评价。归一化植被指数(NDVI)分析表明,当植被覆盖度高时,地表温度和城市热岛效应较小。归一化差异累积指数(NDBI)与地表温度成正比,反映了人类活动对地表温度和城市热岛指数的影响。2000 ~ 2020年,研究区地表温度与环境气温的关系表现出较强的相关性,地表温度呈上升趋势。研究表明,在过去的20年里,孟买的平均地表温度从27.1°C增加到32.7°C。进行了纵向温度分布分析,找出了最严重的热不适区和相关人群。该研究建议增加绿化空间以维持孟买的平均地表温度。本研究为未来城市环境地表温度与人类健康、气候变化、生态状况评价等研究提供了基础。
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