城市热岛
城市气候
城市规划
环境科学
城市环境
索引(排版)
市区
植被(病理学)
热舒适性
自然(考古学)
城市密度
人口
自然地理学
气象学
地理
计算机科学
环境规划
土木工程
生态学
工程类
考古
人口学
社会学
病理
万维网
生物
医学
作者
Yueyao Wang,Ze Liang,Jiaqi Ding,Jiashu Shen,Feili Wei,Shuangcheng Li
出处
期刊:Atmosphere
[MDPI AG]
日期:2022-09-14
卷期号:13 (9): 1493-1493
标识
DOI:10.3390/atmos13091493
摘要
The urban thermal environment is affected by multiple urban form and natural environment factors; research on the accurate prediction of the urban thermal environment, considering the interaction among different urban environmental factors, is still lacking. The development of a machine learning model provides a good means of solving complex problems. This study aims to clarify the relationship between urban environmental variables and the urban thermal environment through high-precision machine learning models as well as provide scenarios of future urban thermal environment developments. We defined an urban thermal environment index (UTEI), considering twelve urban form and natural indicators sourced from the remote sensing data of 150 cities in the Jing-Jin-Ji region from 2000 to 2015. We achieved accurate predictions of UTEI through training a gradient-boosted regression trees model. By unpacking the model, we found that the contribution rate of elevation (ELEV) was the highest. Among all the urban form indicators, the elongation index (ELONG), urban population (POP), nighttime light intensity (NLI), urban area size (AREA), and urban shape index (SHAPE) also had high contributions. We set up five scenarios to simulate the possible impact of different urban form factors on the overall urban thermal environment quality in the region. Under extremely deteriorated patterns that do not control urban expansion and vegetation reduction, the average UTEI could be as high as 0.55–0.76 °C in summer and 0.24–0.29 °C in winter, yet in the extremely optimized situation, UTEI decreased by 0.69 °C in summer and 0.56 °C in winter. Results showed that better urban form improves the quality of urban environments and can provide important insights for urban planners to mitigate urban heat island problems.
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