Impact of tree growth form on temporal and spatial patterns of particulate matter with various particle sizes in urban street canyons.

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Tác giả: Bojun Ma, Changhui Peng, Chucai Peng, Mingjun Teng, Xiaoshuang Wang, Yang Xiang, Zhixiang Zhou

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: Netherlands : Landscape ecology , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 60021

CONTEXT: Trees play a vital role in reducing street-level particulate matter (PM) pollution in metropolitan areas. However, the optimal tree growth type for maximizing the retention of various sizes of PM remains uncertain. OBJECTIVES: This study assessed the PM reduction capabilities of evergreen and deciduous broadleaf street trees, focusing on how leaf phenology influences the dispersion of pollutants across particle sizes. METHODS: We collected data on six PM size fractions from 72 sites along streets lined with either evergreen or deciduous broadleaf trees in Wuhan, China, during the summer and winter of 2017-2018. RESULTS: Evergreen trees demonstrated superior PM reduction capabilities compared to deciduous trees, with evergreen street canyons showing 27.2% and 12.6% lower PM CONCLUSIONS: Evergreen trees showed superior PM reduction capabilities compared to deciduous trees due to their year-round leaf retention, enhanced surface properties, and denser canopies that maximize PM capture. We recommend prioritizing evergreen broadleaf trees as the primary street trees while interspersing deciduous trees at appropriate intervals. This approach will ensure that urban greenery provides maximum ecological benefits while reducing the PM concentration.
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