How does urbanization process affect urban heat island effect? Interpretation of 31 cities in China based on local climate zones

城市化 中国 城市热岛 情感(语言学) 城市气候 经济地理学 地理 口译(哲学) 气候变化 环境科学 过程(计算) 气候学 自然地理学 气象学 经济增长 经济 地质学 心理学 海洋学 计算机科学 考古 操作系统 程序设计语言 沟通
作者
Hanguang Yu,Le Yu,Chunxiao Zhang,Yan Qi
出处
期刊:Environmental Research Letters [IOP Publishing]
标识
DOI:10.1088/1748-9326/ae0da5
摘要

Abstract Urbanization has dramatically reshaped the urban landscape and intensified the urban heat island (UHI) effect in recent decades. This study investigates the spatiotemporal dynamics of UHI across 31 major Chinese cities from 2000 to 2020, using the local climate zone (LCZ) framework, MODIS-derived land surface temperature (LST), and machine learning models. Existing research has found significant differences in the level of UHI variation among different cities, but few studies attributing it from the perspective of urban morphology changes. We quantify urbanization processes through nine LCZ-derived indicators and assess their influence on daytime and nighttime UHI in summer. Results show that UHI intensity increased in 80.6% of cities during the day and in 77.4% at night, with over half experiencing statistically significant intensification (p < 0.05). Daytime UHI was stronger in southern cities (mean: 3.12 °C), while nighttime UHI was more prominent in northern regions (mean: 1.86 °C). Urban expansion (UE) and vegetation reduction (VR) were identified as the primary contributors to UHI intensification, with random forest and SHAP analyses indicating that UE accounted for up to 28.3% of UHI variance. Functional transformation (FT) of urban areas showed mixed thermal effects, with stronger nighttime impact. High-rise (LCZ4) and mid-rise (LCZ5) building expansions were particularly linked to elevated LST. Moreover, three land use indices, exhibited significant correlations with UHI trends, especially in cities with significant UHI growth. This study provides a comprehensive attribution analysis of UHI dynamics at the national scale, offering empirical evidence to guide sustainable urban planning and climate-adaptive city design.
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