干旱区生态环境知识资源中心(Arid): Explaining the role of land use changes on land surface temperature in an arid and semi-arid metropolitan area with multi-scale spatial regression analysis

Arid

DOI	10.1007/s10661-023-12241-2
	Explaining the role of land use changes on land surface temperature in an arid and semi-arid metropolitan area with multi-scale spatial regression analysis
	Dadashpoor, Hashem; Khaleghinia, Ali; Shabrang, Amirhosein
通讯作者	Dadashpoor, H
来源期刊	ENVIRONMENTAL MONITORING AND ASSESSMENT
ISSN	0167-6369
EISSN	1573-2959
出版年	2024
卷号	196 期号:2
英文摘要	Urban Heat Islands (UHIs), Land Surface Temperature (LST), and Land Use Land Cover (LULC) changes are critical environmental concerns that require continuous monitoring and assessment, especially in cities within arid and semi-arid (ASA) climates. Despite the abundance of research in tropical, Mediterranean, and cold climates, there is a significant knowledge gap for cities in the Middle East with ASA climates. This study aimed to examine the effects of LULC change, population, and wind speed on LST in the Mashhad Metropolis, a city with an ASA climate, over a 30-year period. The research underscores the importance of environmental monitoring and assessment in understanding and mitigating the impacts of urbanization and climate change. Our research combines spatial regression models, multi-scale and fine-scale analyses, seasonal and city outskirts considerations, and long-term change assessments. We used Landsat satellite imagery, a crucial tool for environmental monitoring, to identify LULC changes and their impact on LST at three scales. The relationships were analyzed using Ordinary Least Squares (OLS) and Spatial Error Model (SEM) regressions, demonstrating the value of these techniques in environmental assessment. Our findings highlight the role of environmental factors in shaping LST. A decrease in vegetation and instability of water bodies significantly increased LST over the study period. Bare lands and rocky terrains had the most substantial effect on LST. At the same time, built-up areas resulted in Urban Cooling Islands (UCIs) due to their lower temperatures compared to surrounding bare lands. The Normalized Difference Vegetation Index (NDVI) and Dry Bare-Soil Index (DBSI) were the most effective indices impacting LST in ASA regions, and the 30x30 m2 micro-scale provides more precise results in regression models, underscoring their importance in environmental monitoring. Our study provided a comprehensive understanding of the relationship between LULC changes and LST in an ASA environment, contributing significantly to the literature on environmental change in arid regions and the methodologies for monitoring such changes. Future research should aim to validate and expand additional LST-affecting factors and test our approach and findings in other ASA regions, considering the unique characteristics of these areas and the importance of tailored environmental monitoring and assessment approaches.
英文关键词	Land Surface Temperature (LST) Land Use Land Cover (LULC) change Urban Heat Island (UHI) Spatial regression model Multi-scale grid analysis Arid and semi-arid (ASA) climate
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001138686900003
WOS关键词	URBAN HEAT-ISLAND ; COVER CHANGES ; CLIMATE-CHANGE ; IMPACT ; PATTERN ; INDEX ; NDVI ; URBANIZATION ; QUALITY ; FORM
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403587
推荐引用方式 GB/T 7714	Dadashpoor, Hashem,Khaleghinia, Ali,Shabrang, Amirhosein. Explaining the role of land use changes on land surface temperature in an arid and semi-arid metropolitan area with multi-scale spatial regression analysis[J],2024,196(2).
APA	Dadashpoor, Hashem,Khaleghinia, Ali,&Shabrang, Amirhosein.(2024).Explaining the role of land use changes on land surface temperature in an arid and semi-arid metropolitan area with multi-scale spatial regression analysis.ENVIRONMENTAL MONITORING AND ASSESSMENT,196(2).
MLA	Dadashpoor, Hashem,et al."Explaining the role of land use changes on land surface temperature in an arid and semi-arid metropolitan area with multi-scale spatial regression analysis".ENVIRONMENTAL MONITORING AND ASSESSMENT 196.2(2024).