干旱区生态环境知识资源中心(Arid): Spatial prediction of the urban inter-annual land surface temperature variability: An integrated modeling approach in a rapidly urbanizing semi-arid region

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DOI	10.1016/j.scs.2023.104523
	Spatial prediction of the urban inter-annual land surface temperature variability: An integrated modeling approach in a rapidly urbanizing semi-arid region
	Mokhtari, Zahra; Amani-Beni, Majid; Asgarian, Ali; Russo, Alessio; Qureshi, Salman; Karami, Ayoob
通讯作者	Mokhtari, Z
来源期刊	SUSTAINABLE CITIES AND SOCIETY
ISSN	2210-6707
EISSN	2210-6715
出版年	2023
卷号	93
英文摘要	The inter-annual land surface temperature (LST) is a meteorological indicator of urban environments, affecting energy consumption and quality of life. In this study, the annual LST variability (ALSTV) of a rapidly urbanizing region in Iran including Karaj, Shahriar and Mohammad-Shahr cities and their surrounding suburbs was esti-mated using Landsat-8 images. Pixel-based image classification and object-based segmentation techniques were employed to extract built-up patches and spectrally homogeneous regions. Using the multiple regression analysis, the ALSTV of built-up patches was modeled as a function of their structure and the spatial characteristics of other land-use patches located in their respective segments (as neighborhood factors). A Cellular Automata model was utilized to simulate the expansion of built-up area up to 5% and, therefore, estimate their future ALSTV. The mean ALSTV was highest in urban areas (33.25 +/- 7.41 degrees C), while the lowest mean value of 24.12 +/- 3.24 degrees C was in green covers. The ALSTV of built-up patches were positively associated with their area and the percentage and size of neighborhood built-up patches, while negatively with the percentage of neighborhood green patches. To create a thermally comfortable landscape, additional green patch allocation and preventing excessive urban patch growth are required in all large built-up segments.
英文关键词	Cellular automata Landscape metrics Spatial pattern Urban landscape planning Karaj
类型	Article
语种	英语
开放获取类型	Green Accepted
收录类别	SCI-E
WOS记录号	WOS:000964508000001
WOS关键词	HEAT-ISLAND ; LANDSCAPE PATTERN ; IN-SITU ; METRICS ; SYSTEM ; AREAS
WOS类目	Construction & Building Technology ; Green & Sustainable Science & Technology ; Energy & Fuels
WOS研究方向	Construction & Building Technology ; Science & Technology - Other Topics ; Energy & Fuels
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398873
推荐引用方式 GB/T 7714	Mokhtari, Zahra,Amani-Beni, Majid,Asgarian, Ali,et al. Spatial prediction of the urban inter-annual land surface temperature variability: An integrated modeling approach in a rapidly urbanizing semi-arid region[J],2023,93.
APA	Mokhtari, Zahra,Amani-Beni, Majid,Asgarian, Ali,Russo, Alessio,Qureshi, Salman,&Karami, Ayoob.(2023).Spatial prediction of the urban inter-annual land surface temperature variability: An integrated modeling approach in a rapidly urbanizing semi-arid region.SUSTAINABLE CITIES AND SOCIETY,93.
MLA	Mokhtari, Zahra,et al."Spatial prediction of the urban inter-annual land surface temperature variability: An integrated modeling approach in a rapidly urbanizing semi-arid region".SUSTAINABLE CITIES AND SOCIETY 93(2023).