Arid
DOI10.1016/j.jclepro.2023.137175
Identification of climate change impact and thermal comfort zones in semi-arid regions of AP, India using LST and NDBI techniques
Kumar, B. Pradeep; Anusha, B. N.; Babu, K. Raghu; Sree, P. Padma
通讯作者Kumar, BP
来源期刊JOURNAL OF CLEANER PRODUCTION
ISSN0959-6526
EISSN1879-1786
出版年2023
卷号407
英文摘要Andhra Pradesh, in southern India, frequently experiences warm summers and winters. However, the year-round greater relative humidity and the positioning of the summer hot spots are linked to actual weather heat exhaustion during the warmest months. Climate change is a significant-and frequently disregarded-factor in the relationship between climate and mortality. With the use of the Land Surface Temperature (LST) and Normalized Difference Built-up Index (NDBI), we sought to identify the climatic change in this research. Additionally, we attempted to identify the Thermal Comfort Zones (TCZs) in Andhra Pradesh, South India's semi-arid regions. Arc GIS and ERDAS Imagine were used to process the satellite data of Landsat 4-5 (TM & MSS), Landsat 7 ETM+, and Landsat 8 OLI for the development of LST and NDBI. The research was conducted for the past thirty years from 1990 to 2020. The resultant thermal comfort zones map was classified into four zones, Zone -I (Safe zone), Zone - II (Moderately safe zone), Zone - III (Risk Zone), and Zone-IV (Highly Risk Zone). The relation between the LST and NDBI is also revealed using correlation regression analysis in the study region. It has been noted that urban centre and high-density regions had greater LST than rural locations. The study finds that although this differs from one ecological zone to another and the distribution of LST intensity in the urban area depends on its changing LULC, various types of land cover within an urban region might impact the spatial pattern of urban LST. The main conclusions of this study might help policymakers understand the need of enabling more sustainable urban development in cities.
英文关键词Thermal comfort zones Climate change LST NDBI Remote sensing And GIS
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000985008000001
WOS关键词LAND-SURFACE TEMPERATURE ; ANANTAPUR DISTRICT ; OUTDOOR ; WINDOW ; CITY
WOS类目Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS研究方向Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/397222
推荐引用方式
GB/T 7714
Kumar, B. Pradeep,Anusha, B. N.,Babu, K. Raghu,et al. Identification of climate change impact and thermal comfort zones in semi-arid regions of AP, India using LST and NDBI techniques[J],2023,407.
APA Kumar, B. Pradeep,Anusha, B. N.,Babu, K. Raghu,&Sree, P. Padma.(2023).Identification of climate change impact and thermal comfort zones in semi-arid regions of AP, India using LST and NDBI techniques.JOURNAL OF CLEANER PRODUCTION,407.
MLA Kumar, B. Pradeep,et al."Identification of climate change impact and thermal comfort zones in semi-arid regions of AP, India using LST and NDBI techniques".JOURNAL OF CLEANER PRODUCTION 407(2023).
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