Using a mobile measurement to characterize number, surface area, and mass concentrations of ambient fine particles with spatial variability during and after a PM episode

Chin Yu Hsu, Ming Yeng Lin, Hung Che Chiang, Mu Jean Chen, Tzu Yu Lin, Yu Cheng Chen

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Fine particles play a key role in regional air quality deterioration. Commonly used central-site monitoring data, which offer rough determinations of spatial particulate matter (PM) distributions, is insufficient to estimate potential local emissions or population exposure levels. This study characterizes the spatial variability of fine particles in suburban and rural regions during and after a winter episode of elevated PM (PM episode). Commercial instruments of high time resolution in a mobile laboratory platform were deployed to measure the distribution, number, surface area, and mass concentrations of fine particles. Spatial variations of those particle properties were mainly affected by regional feature, PM episode, local primary source and wind speed. Particle concentrations and size distributions were found to differ considerably during and after PM episode. The PM episode was found to exhibit a lower degree of spatial concentration contrast with respect to particle number, surface area and mass, where similar particle size patterns were distributed across all study regions with decreased particle number under nucleation and Aitken modes and increased number under the accumulation mode. The mobile measurement may supplement information on spatial particle distributions for estimating levels of population exposure and for characterizing detailed physical properties of short-term, high-exposed scenarios.

Original languageEnglish
Pages (from-to)1416-1426
Number of pages11
JournalAerosol and Air Quality Research
Volume16
Issue number6
DOIs
Publication statusPublished - 2016 Jun

Fingerprint

Particulate Matter
particulate matter
surface area
Air quality
Particles (particulate matter)
Deterioration
Nucleation
Physical properties
Particle size
Monitoring
particle
nucleation
air quality
spatial variation
physical property
wind velocity
particle size
winter

All Science Journal Classification (ASJC) codes

  • Environmental Chemistry
  • Pollution

Cite this

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title = "Using a mobile measurement to characterize number, surface area, and mass concentrations of ambient fine particles with spatial variability during and after a PM episode",
abstract = "Fine particles play a key role in regional air quality deterioration. Commonly used central-site monitoring data, which offer rough determinations of spatial particulate matter (PM) distributions, is insufficient to estimate potential local emissions or population exposure levels. This study characterizes the spatial variability of fine particles in suburban and rural regions during and after a winter episode of elevated PM (PM episode). Commercial instruments of high time resolution in a mobile laboratory platform were deployed to measure the distribution, number, surface area, and mass concentrations of fine particles. Spatial variations of those particle properties were mainly affected by regional feature, PM episode, local primary source and wind speed. Particle concentrations and size distributions were found to differ considerably during and after PM episode. The PM episode was found to exhibit a lower degree of spatial concentration contrast with respect to particle number, surface area and mass, where similar particle size patterns were distributed across all study regions with decreased particle number under nucleation and Aitken modes and increased number under the accumulation mode. The mobile measurement may supplement information on spatial particle distributions for estimating levels of population exposure and for characterizing detailed physical properties of short-term, high-exposed scenarios.",
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Using a mobile measurement to characterize number, surface area, and mass concentrations of ambient fine particles with spatial variability during and after a PM episode. / Hsu, Chin Yu; Lin, Ming Yeng; Chiang, Hung Che; Chen, Mu Jean; Lin, Tzu Yu; Chen, Yu Cheng.

In: Aerosol and Air Quality Research, Vol. 16, No. 6, 06.2016, p. 1416-1426.

Research output: Contribution to journalArticle

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