The dual role of roadside trees in shaping children’s PM exposure near schools

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

Children’s school commutes are repeated microenvironments where exposure to traffic-related particulate matter (PM) occurs at breathing height. Roadside trees are widely promoted to mitigate PM via deposition on foliage, yet dense tree crowns may also reduce near-road ventilation and increase pedestrian-level concentrations. We quantified these opposing effects along the most frequently used access routes to primary schools in Łódź (Poland). During June 2022, we measured PM2.5 and PM10 at 1 s resolution at 1.4 m height during morning and afternoon commuting periods (n = 242). Tree crown structure was characterised using two complementary indicators: horizontal crown density, quantified as leaf area index (LAI), representing potential particulate absorption surface, and vertical crown density, quantified as the proportion of the pedestrian-level field of view occupied by tree crowns, representing canopy obstruction and reduced ventilation. Foliar PM loads were determined by sequential leaf wash-off (n = 124). Mixed-effects models showed that higher vertical crown density was associated with higher airborne PM concentrations, with each one percentage-point increase corresponding to approximately 1.9% higher PM levels along routes. In contrast, higher horizontal crown density enhanced foliar retention: a 1% increase in LAI was associated with 0.52% and 0.56% higher foliar PM₁₀ and PM₂.₅, respectively, and species identity explained additional variation. Roadside trees, therefore, provide particulate deposition benefits but may simultaneously increase exposure at pedestrian height, highlighting the need for site-specific greening designs that explicitly account for both horizontal and vertical crown density.

Article activity feed