Reducing PM2.5 and O3 through optimizing urban ecological land form based on its size thresholds

摘要

本研究识别了长江经济带1068个县的城市生态用地（UEL），并使用横截面阈值回归模型分析了UEL尺寸对PM2.5和O3浓度的阈值效应。研究还探讨了UEL形态在不同尺寸区间内的影响。通过象限分析，将县域根据主要污染物和UEL尺寸分为六类，以制定差异化的规划策略。主要发现包括：UEL尺寸对PM2.5浓度回归呈现4.302%、8.055%和23.742%的三个阈值效应，对O3浓度回归呈现3.275%的单一阈值效应。UEL形态指标在相同污染物下不同尺寸区间的显著性存在差异。研究表明，分散和不规则的UEL形态更有利于减少PM2.5，而聚集形态则有利于O3的减少。最后，研究提出了一个与县域发展阶段和污染物特征相匹配的进化式UEL规划策略。

Abstract

This study identifies Urban Ecological Land (UEL) in 1068 counties within the Yangtze River Economic Belt (YREB) and analyzes the threshold effect of UEL size on PM2.5 and O3 concentrations using a cross-sectional threshold regression model. It also investigates the impact of UEL form across different size intervals. Quadrant analysis categorizes counties into six types based on their primary pollutants and UEL sizes, enabling differentiated planning strategies. Key findings indicate triple threshold effects for PM2.5 at 4.302%, 8.055%, and 23.742%, and a single threshold effect for O3 at 3.275%. UEL form metrics show varying significances across size intervals. Dispersed and irregular UEL forms are more effective for PM2.5 reduction, while aggregated forms benefit O3 reduction. An evolutionary UEL planning strategy is proposed, tailored to county-specific development stages and pollutant characteristics.

引用格式

@article{2025_apr_ecological_land,
  title={Reducing PM2.5 and O3 through optimizing urban ecological land form based on its size thresholds},
  author={Xin Chen and 蔚芳},
  journal={Atmospheric Pollution Research},
  year={2025},
  doi={https://doi.org/10.1016/j.apr.2025.102466}
}