Spatial-temporal heterogeneity of vegetation reduces concentration of atmospheric pollution particles in the East China Metropolitan Area

• Vegetation reduces PM in eastern China’s urban agglomerations using remote sensing data • Air quality improvement from vegetation dry deposition has steadily increased • LAI is the key factor affecting vegetation dry deposition of PM 2.5 and PM 10 • Broadleaf trees have the strongest ability to dry deposit PM 10 Air pollution, particularly PM 2.5 and PM 10 , presents substantial challenges in China’s major urban agglomerations: Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD), and Pearl River Delta (PRD). Vegetation reduces fine particles in the air via dry deposition, offering a natural, green, and cost-effective means of alleviating air pollution. This study used multi-source satellite remote sensing data as a substitute for traditional ground station data and applied an improved UFORE model to analyze the spatiotemporal distribution of vegetation dry deposition from 2001 to 2020 in these regions. The results of this study revealed the following: 1) PRD showed the highest per-unit area deposition, particularly for PM 10 . Peak deposition occurred in 2013, followed by a decline in pollutant concentrations, whereas air quality improvement increased. 2) Dry deposition showed a strong positive correlation with the leaf area index, with a maximum correlation of 0.91. Excessive pollutant concentrations suppressed dry deposition. 3) Forest land generally has a strong dry deposition capacity; however, in some areas, farmlands exhibited relatively high unit area deposition, with farmland dry deposition accounting for 30–50% of the total dry deposition in those regions. These findings are valuable for air pollution control, green space planning, and sustainable development in urban regions.

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Publication Details

Journal
Ecological Indicators
Published
2024-12-01
DOI
https://doi.org/10.1016/j.ecolind.2024.112902
Citations
4
Primary Topic
Urban Green Space and Health
Type
article
Field-Weighted Citation Impact
1.26

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article

Spatial-temporal heterogeneity of vegetation reduces concentration of atmospheric pollution particles in the East China Metropolitan Area

Qingyang Wu, Yongqiang Cao, Tong Liu, Jiaqi Yao et al.
4 citations
Ecological Indicators
Urban Green Space and Health
1.26
article

Spatial-temporal heterogeneity of vegetation reduces concentration of atmospheric pollution particles in the East China Metropolitan Area

Qingyang Wu, Yongqiang Cao, Tong Liu, Jiaqi Yao, Haoran Zhai, Tianling Qin, Zihua Liu, Fan Mo, Haiying Gong
article en
4 citations

Abstract

• Vegetation reduces PM in eastern China’s urban agglomerations using remote sensing data • Air quality improvement from vegetation dry deposition has steadily increased • LAI is the key factor affecting vegetation dry deposition of PM 2.5 and PM 10 • Broadleaf trees have the strongest ability to dry deposit PM 10 Air pollution, particularly PM 2.5 and PM 10 , presents substantial challenges in China’s major urban agglomerations: Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD), and Pearl River Delta (PRD). Vegetation reduces fine particles in the air via dry deposition, offering a natural, green, and cost-effective means of alleviating air pollution. This study used multi-source satellite remote sensing data as a substitute for traditional ground station data and applied an improved UFORE model to analyze the spatiotemporal distribution of vegetation dry deposition from 2001 to 2020 in these regions. The results of this study revealed the following: 1) PRD showed the highest per-unit area deposition, particularly for PM 10 . Peak deposition occurred in 2013, followed by a decline in pollutant concentrations, whereas air quality improvement increased. 2) Dry deposition showed a strong positive correlation with the leaf area index, with a maximum correlation of 0.91. Excessive pollutant concentrations suppressed dry deposition. 3) Forest land generally has a strong dry deposition capacity; however, in some areas, farmlands exhibited relatively high unit area deposition, with farmland dry deposition accounting for 30–50% of the total dry deposition in those regions. These findings are valuable for air pollution control, green space planning, and sustainable development in urban regions.

Ecological IndicatorsVol. 169
Tianjin Normal University (CN), University of California, Los Angeles (US), China Institute of Water Resources and Hydropower Research (CN), China Centre for Resources Satellite Data and Application (CN), Remote Sensing Application Center (BG)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 20%
Urban Green Space and Health
1.26
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