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  9. Air Pollution Modelling And Control
  11. Associations Between Community Green View Index And Fine Particulate Matter From Airboxes

Associations between community green view index and fine particulate matter from Airboxes

Jia-Hong Tang1, Ying-Jhen Huang2, Ping-Hsien Lee1

  • 1Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan.

The Science of the Total Environment
|February 24, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

Urban greenery, especially trees, can significantly reduce fine particulate matter (PM2.5) air pollution in communities. Visual greenness metrics like the Green View Index (GVI) are more effective than satellite-based NDVI for this purpose.

Area of Science:

  • Environmental Science
  • Urban Planning
  • Public Health

Background:

  • Urban greenery improves air quality and community health.
  • Air pollution, particularly PM2.5, poses significant health risks in urban areas.
  • Effective greenspace planning is crucial for mitigating urban air pollution.

Purpose of the Study:

  • To investigate the role of urban greenery in reducing community-level air pollution in Tainan City, Taiwan.
  • To identify greenness metrics and tree types most effective at absorbing PM2.5.
  • To provide evidence for urban greenspace planning to reduce air pollution.

Main Methods:

  • Utilized air quality sensors and street-view imagery in Tainan City.
  • Collected data on road trees and identified species for PM2.5 absorption.
Keywords:
Air pollutionGSVGVILUR

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  • Employed Normalized Difference Vegetation Index (NDVI) and Green View Index (GVI) for greenness assessment.
  • Applied Land-use Regression (LUR) for statistical analysis.

    • Main Results:

    • A higher GVI within a 500m buffer was significantly linked to decreased PM2.5 levels.
    • NDVI metrics within a 500m buffer did not show a significant association with PM2.5 reduction.
    • Evergreen trees were associated with lower ambient PM2.5 compared to deciduous and semi-deciduous trees.

    Conclusions:

    • Visual assessment of urban greenery (GVI) is a strong indicator for PM2.5 reduction.
    • Evergreen trees are more effective than deciduous trees in lowering PM2.5.
    • Findings support targeted urban greenspace planning for improved air quality and public health.
    NDVI
    Urban greenery