Combined Effects of Urban Morphology on Land Surface Temperature and PM2.5 Concentration Across Fine-scale Urban Blocks in Hangzhou, China

摘要

本研究调查了中国杭州精细尺度城市街区城市形态对地表温度（LST）和PM2.5浓度的直接和中介效应。利用遥感数据和土地利用回归（LUR）模型进行PM2.5降尺度分析，研究分析了夏季和冬季杭州城市街区内的城市形态指标、LST和PM2.5浓度。采用非线性回归模型（NRM）和 bootstrapping 中介分析来探索复杂关系。主要发现揭示了城市形态对LST和PM2.5有不同的影响，其中LST在冬季PM2.5关系中起着重要的中介作用。研究强调了控制建筑密度和高度的重要性，并提出了侧重于中等密度和高层低密度开发的城市规划策略，以减轻热量和污染。该研究有助于更好地理解城市环境挑战，并为可持续城市规划提供数据驱动的见解。

Abstract

This study investigates the direct and mediating effects of urban morphology on land surface temperature (LST) and PM2.5 concentrations at the fine-scale urban block level in Hangzhou, China. Utilizing remote sensing data and a land use regression (LUR) model for PM2.5 downscaling, the research analyzes urban morphology metrics, LST, and PM2.5 concentrations within urban blocks during summer and winter. Nonlinear regression models (NRM) and bootstrapping mediation analysis are employed to explore complex relationships. Key findings reveal that urban morphology has distinct impacts on LST and PM2.5, with LST acting as a significant mediator in the winter PM2.5 relationship. The study highlights the importance of controlling building density and height and suggests urban planning strategies focused on moderate density and high-rise, low-density development to mitigate heat and pollution. The research contributes to a better understanding of urban environmental challenges and provides data-driven insights for sustainable urban planning.

引用格式

@article{2025_be_urban_morphology_lst,
  title={Combined effects of urban morphology on land surface temperature and PM2.5 concentration across fine-scale urban blocks in Hangzhou, China},
  author={X. Chen and 蔚芳},
  journal={Building and Environment},
  year={2025},
  doi={None}
}