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DOI10.1016/j.scs.2024.105204
Advantages of modeling the urban heat island intensity: A tool for implementing nature-based solutions
Oukawa, Gabriel Yoshikazu; Krecl, Patricia; Targino, Admir Creso; Batista, Ligia Flavia Antunes
发表日期2024
ISSN2210-6707
EISSN2210-6715
起始页码102
卷号102
英文摘要Climate change affects the lives of billions of urban residents worldwide. Amidst this scenario, the urban heat island (UHI) exacerbates heat stress and worsens thermal discomfort. Here, we approach the UHI phenomenon from the perspectives of both machine learning and nature-based solutions (NBS). Random forest models were built by integrating in situ air temperature (Tair) data and a pool of on- and off-site variables, within the context of Local Climate Zones (LCZ). The models utilized both Tair and the urban heat island intensity (UHII) as response variables. All models achieved a high explanatory power (R2 >= 0.82). However, those directly modeling UHII proved more suitable because LCZ emerged as the primary contributors of UHII's variance. The NBS interventions showed that even modest increments of 10% in tree cover have the potential to reduce the UHII by up to 65% in winter and 55% in summer. This underscores the potential of modifying land use and cover as a tool to mitigate the UHI. This methodology holds the potential for application in other cities with similar climate. Our high-performing models pave the way for a streamlined approach in developing and implementing NBS, offering an efficient means to assess their impact and effectiveness.
英文关键词Random forests; Nature -based solutions; Local Climate Zones; SHAP values
语种英语
WOS研究方向Construction & Building Technology ; Science & Technology - Other Topics ; Energy & Fuels
WOS类目Construction & Building Technology ; Green & Sustainable Science & Technology ; Energy & Fuels
WOS记录号WOS:001172557900001
来源期刊SUSTAINABLE CITIES AND SOCIETY
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/295960
作者单位Universidade Tecnologica Federal do Parana; Universidade Tecnologica Federal do Parana
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GB/T 7714
Oukawa, Gabriel Yoshikazu,Krecl, Patricia,Targino, Admir Creso,et al. Advantages of modeling the urban heat island intensity: A tool for implementing nature-based solutions[J],2024,102.
APA Oukawa, Gabriel Yoshikazu,Krecl, Patricia,Targino, Admir Creso,&Batista, Ligia Flavia Antunes.(2024).Advantages of modeling the urban heat island intensity: A tool for implementing nature-based solutions.SUSTAINABLE CITIES AND SOCIETY,102.
MLA Oukawa, Gabriel Yoshikazu,et al."Advantages of modeling the urban heat island intensity: A tool for implementing nature-based solutions".SUSTAINABLE CITIES AND SOCIETY 102(2024).
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