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The Impact of Meteorological Factors and Canopy Structure on PM ₂.₅ Dynamics Under Different Urban Functional Zones in a Subtropical City Huang, Yichen; Cai, Yue; Jiao, Jiejie; Pan, Chunyu; Wang, Guangyu; Li, Chong; Jia, Zichen; Chen, Zhihao; Zhou, Yufeng; Zhou, Guomo
Abstract
PM₂.₅ pollution has intensified with rapid urbanization and industrialization, raising concerns about its health and environmental impacts. Both meteorological factors and urban forests play crucial roles in influencing PM₂.₅ concentrations. However, limited attention has been given to the direct impact of canopy structure on PM₂.₅ levels at a larger scale. This study analyzes the temporal variation of PM₂.₅, including seasonal and diurnal patterns, across different functional zones (park, traffic, and residential zones) in a subtropical region. It also investigates the seasonal responses of PM₂.₅ to meteorological factors (temperature, humidity, and precipitation) and canopy structure characteristics, including canopy diameter (CD), canopy thickness (CT), canopy area (CA), canopy volume (CV), canopy height ratio (CH), leaf area index (LAI), and tree canopy cover (CO). The results show that among different functional zones, PM₂.₅ concentrations were the highest in park zones, followed by traffic zones. Seasonal variations in PM₂.₅ concentrations were the highest in winter (84.00 ± 45.97 μg/m³), with greater fluctuations, and the lowest in summer (36.85 ± 17.63 μg/m³ μg/m³), with smaller fluctuations. Diurnal variation followed an “N”-shaped curve in spring, summer, and autumn, while a “W”- shaped curve was observed in winter. Correlation analysis indicated significant negative correlations between PM₂.₅ and humidity, temperature, and rainfall, while CD, CA, and CV showed positive correlations with PM₂.₅. Notably, PM₂.₅ exhibited greater sensitivity to changes in canopy structure in winter, followed by autumn. Despite these findings, the influence of canopy structure on PM₂.₅ concentrations was considerably smaller compared to meteorological factors. In particular, every 1 m² increase in canopy area could raise PM₂.₅ levels by 0.864 μg/m³, whereas an average increase of 1 mm in rainfall could raise PM₂.₅ by 13.665 μg/m³. These findings provide valuable guidance for implementing protective measures, improving air quality, optimizing urban greening strategies, and enhancing public health outcomes.
Item Metadata
| Title |
The Impact of Meteorological Factors and Canopy Structure on PM ₂.₅ Dynamics Under Different Urban Functional Zones in a Subtropical City
|
| Creator | |
| Publisher |
Multidisciplinary Digital Publishing Institute
|
| Date Issued |
2025-03-09
|
| Description |
PM₂.₅ pollution has intensified with rapid urbanization and industrialization,
raising concerns about its health and environmental impacts. Both meteorological factors
and urban forests play crucial roles in influencing PM₂.₅ concentrations. However, limited
attention has been given to the direct impact of canopy structure on PM₂.₅ levels at a
larger scale. This study analyzes the temporal variation of PM₂.₅, including seasonal and
diurnal patterns, across different functional zones (park, traffic, and residential zones) in a
subtropical region. It also investigates the seasonal responses of PM₂.₅ to meteorological
factors (temperature, humidity, and precipitation) and canopy structure characteristics,
including canopy diameter (CD), canopy thickness (CT), canopy area (CA), canopy volume
(CV), canopy height ratio (CH), leaf area index (LAI), and tree canopy cover (CO). The
results show that among different functional zones, PM₂.₅ concentrations were the highest
in park zones, followed by traffic zones. Seasonal variations in PM₂.₅ concentrations
were the highest in winter (84.00 ± 45.97 μg/m³), with greater fluctuations, and the
lowest in summer (36.85 ± 17.63 μg/m³ μg/m³), with smaller fluctuations. Diurnal
variation followed an “N”-shaped curve in spring, summer, and autumn, while a “W”-
shaped curve was observed in winter. Correlation analysis indicated significant negative
correlations between PM₂.₅ and humidity, temperature, and rainfall, while CD, CA, and
CV showed positive correlations with PM₂.₅. Notably, PM₂.₅ exhibited greater sensitivity to
changes in canopy structure in winter, followed by autumn. Despite these findings, the
influence of canopy structure on PM₂.₅ concentrations was considerably smaller compared
to meteorological factors. In particular, every 1 m² increase in canopy area could raise PM₂.₅
levels by 0.864 μg/m³, whereas an average increase of 1 mm in rainfall could raise PM₂.₅
by 13.665 μg/m³. These findings provide valuable guidance for implementing protective
measures, improving air quality, optimizing urban greening strategies, and enhancing
public health outcomes.
|
| Subject | |
| Genre | |
| Type | |
| Language |
eng
|
| Date Available |
2025-05-02
|
| Provider |
Vancouver : University of British Columbia Library
|
| Rights |
CC BY 4.0
|
| DOI |
10.14288/1.0448732
|
| URI | |
| Affiliation | |
| Citation |
Forests 16 (3): 479 (2025)
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| Publisher DOI |
10.3390/f16030479
|
| Peer Review Status |
Reviewed
|
| Scholarly Level |
Faculty; Researcher
|
| Rights URI | |
| Aggregated Source Repository |
DSpace
|
Item Media
Item Citations and Data
Rights
CC BY 4.0