Identifying seasonal heat islands in urban settings of Delhi (India) using remotely sensed data - An anomaly based approach

被引：53

作者：

Sharma, Richa ^{[1
,2
]}

Joshi, P. K. ^{[1
]}

机构：

[1] TERI Univ, Dept Nat Resources, 10 Inst Area, New Delhi 110070, India

[2] Natl Inst Urban Affairs, New Delhi 110003, India

来源：

URBAN CLIMATE | 2014年 / 9卷

关键词：

Landsat TM; LST; UHI intensity; Anomaly; Seasonal variation;

D O I：

10.1016/j.uclim.2014.05.003

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Delhi, the capital city of India is a rapidly urbanizing agglomeration. The city thus experiences various environmental challenges that are true for all the global cities. urban heat island (UHI) is one such issue that the city is facing. Being a tropical city, Delhi's UHI behaves differentially in comparison to developed cold country cities. This paper analyzes seasonal variation in spatial patterns of UHI in the semi-arid environmental settings of Delhi. Temporal variation in distribution and magnitude of UHI was also studied and analyzed with respect to land use land cover practices using Landsat TM data of all the five seasons (winter, spring, summer, monsoon and post-monsoon) for year 2010-11. An anomaly based approach was attempted to quantify seasonal and annual UHI intensities. Maximum and minimum seasonal UHI intensities were observed in summer (intensity = 16.7 degrees C) and winter (intensity = 7.4 degrees C), respectively. Mean annual LST anomaly map aided in identifying UHI vulnerable locations in the city. Major commercial and industrial sites across the city, and the airport area in south experienced higher UHI effects and were found to be the most vulnerable locations. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：19 / 34

页数：16

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