Urban Heat Island Assessment for a Tropical Urban Airshed in India

• 作者: Anurag Kandya B. R. Gurjar Koichi Ogawa Manju Mohan Shweta Bhati Yukihiro Kikegawa
• 来源期刊: 大气和气候科学(英文)
• 学科: 地球科学
• 关键词: Urban Heat ISLAND Land-Use LAND-COVER Micrometeorological Experiments Remote Sensing ANTHROPOGENIC Emissions
• 年，卷（期）: 2012,（2）
• 页码范围: 127-138
• 页数: 12页
• 分类号: P4

摘要

There has been paucity of field campaigns in India in past few decades on the urban heat island intensities (UHI). Remote sensing observations provide useful information on urban heat island intensities and hotspots as supplement or proxy to in-situ surface based measurements. A case study has been undertaken to assess and compare the UHI and hotspots based on in-situ measurements and remote sensing observations as the later method can be used as a proxy in absence of in-situ measurements both spatially and temporally. Capital of India, megacity Delhi has grown by leaps and bounds during past 2 - 3 decades and strongly represents tropical climatic conditions where such studies and field campaigns are practically non-existent. Thus, a field campaign was undertaken during summer, 2008 named DELHI-I (Delhi Experiments to Learn Heat Island Intensity-I) in this megacity. Urban heat island effects were found to be most dominant in areas of dense built up infrastructure and at commercial centers. The heat island intensity (UHI) was observed to be higher in magnitude both during afternoon hours and night hours (maximum up to 8.3?C) similar to some recent studies. The three high ranking urban heat island locations in the city are within commercial and/or densely populated areas. The results of this field campaign when compared with MODIS-Terra data of land surface temperature revealed that UHI hotspots are comparable only during nighttime. During daytime, similar comparison was less satisfactory. Further, available relationship of maximum UHI with population data is applied for the current measurements and discussed in the context of maximum UHI of various other countries.