气候变化领域集成服务门户(CCPortal): Monitoring the climatic effects of street tree plantation in different urban patterns by synthetic image based BPNN simulations

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DOI	10.1016/j.buildenv.2024.111173
	Monitoring the climatic effects of street tree plantation in different urban patterns by synthetic image based BPNN simulations
	Simsek, Cagdas Kuscu; Arabaci, Derya; Yucel, Cengiz; Ozturk, Buesra
发表日期	2024
ISSN	0360-1323
EISSN	1873-684X
起始页码	250
卷号	250
英文摘要	One of the most effective, economical, environmentally friendly, and easily applied methods used to combat the overheating of urban areas is properly arranging the urban landscape. In particular, road networks play an important role in the heating of urban areas and occupy the most area among the different types of public spaces. Hence, it is evident that street landscape design methods represent a significant resource for enhancing urban climate change resilience. In this study, the effect of plantation of streets with trees on the local climate was investigated for Istanbul and Antalya in Turkey. In the comparison of these two cities, four pattern types (discrete low-rise, discrete mid-rise, discrete high-rise, compact low/mid-rise) that are common in both were used. The simulations were performed by BPNN method that used the synthetic images obtained by manipulating the original satellite images. By this way, as a result of the simulations, the synthetic surface temperature images of planted streets were obtained. The climatic changes were examined by applying thermal change detection analysis and cooling distance analysis for the streets that were planted with trees. According to these results, street tree plantation leads to a cooling effect that extends up to 50 m in Istanbul and up to 300 m in Antalya varying according to the urban pattern type. When the results were compared between the discrete pattern types, it was found that the cooling effect due to street tree planting in the low-rise was effective up to longer distances than the high-rise pattern types.
英文关键词	Back propagation neural network; Street tree planting; Synthetic satellite image; Thermal change detection; Urban climate; Urban surface temperature
语种	英语
WOS研究方向	Construction & Building Technology ; Engineering
WOS类目	Construction & Building Technology ; Engineering, Environmental ; Engineering, Civil
WOS记录号	WOS:001156164100001
来源期刊	BUILDING AND ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/300213
作者单位	Akdeniz University; Adnan Menderes University
推荐引用方式 GB/T 7714	Simsek, Cagdas Kuscu,Arabaci, Derya,Yucel, Cengiz,et al. Monitoring the climatic effects of street tree plantation in different urban patterns by synthetic image based BPNN simulations[J],2024,250.
APA	Simsek, Cagdas Kuscu,Arabaci, Derya,Yucel, Cengiz,&Ozturk, Buesra.(2024).Monitoring the climatic effects of street tree plantation in different urban patterns by synthetic image based BPNN simulations.BUILDING AND ENVIRONMENT,250.
MLA	Simsek, Cagdas Kuscu,et al."Monitoring the climatic effects of street tree plantation in different urban patterns by synthetic image based BPNN simulations".BUILDING AND ENVIRONMENT 250(2024).