A Systematic Review on Plant-Atmosphere Synergy: Dual Purification Strategies for PM 2.5 and O 3 Pollution

Globally, the combined pollution of fine particulate matter (PM 2.5 ) and ground-level ozone (O 3 ) poses severe challenges to public health and sustainable urban development. Recent data indicate that the annual average PM 2.5 concentration in the vast majority of cities worldwide fails to meet World Health Organization safety standards, with air pollution causing millions of premature deaths annually. As a nature-based solution, the purification efficacy of vegetation remains poorly quantified due to unclear coupling mechanisms with local meteorological conditions. This study systematically reviewed and synthesized 229 empirical studies published between 2000 and 2025 from Web of Science and China National Knowledge Infrastructure (CNKI), aiming to clarify the quantitative relationships and regulatory mechanisms of plant–meteorological synergistic purification of PM 2.5 –O 3 . Following double-blind independent screening (κ = 0.85) and data extraction, a quantitative minimal feasible synthesis approach was adopted due to high data heterogeneity. The results indicated the following. (1) The median canopy purification efficiency of urban vegetation for PM 2.5 was 18.2% (IQR: 12.5–30.1%, n = 17), with a median dry deposition velocity (Vd–PM) of 0.05 cm s −1 (0.02–30 cm s −1 , n = 15). The median dry deposition velocity (Vd–O 3 ) for O 3 was 0.55 cm s −1 (0.12–1.82 cm s −1 , n = 8), with non-stomatal deposition contributing approximately 35%. (2) Meteorological factors exhibit nonlinear regulation: relative humidity (RH) > 70% significantly enhances PM 2.5 adsorption, wind speeds of 1.5–3.0 m s −1 are optimal for PM 2.5 deposition, and temperatures > 30 °C generally inhibit plant uptake of both pollutants (n = 7). (3) Functional traits strongly correlate with purification efficacy: species with high leaf roughness (R 2 = 0.8), high stomatal conductance, and low BVOC emissions (e.g., Ginkgo biloba , Platycladus orientalis ) exhibit optimal synergistic purification potential. Species with high BVOC emissions ( Populus przewalskii , Eucalyptus robusta ) can increase daily net O 3 pollution equivalents by up to 86 g and must be strictly avoided. Based on quantitative evidence, a green space planning decision matrix indexed by climate zone and pollution type was developed, specifying vegetation configuration patterns, functional group selection, and key design parameters (canopy closure, green belt width, etc.) for different scenarios. This study provides an actionable scientific basis for precision planning and climate-adaptive management of urban green infrastructure.