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 language | English |
|---|---|
| Pages (from-to) | 1416-1426 |
| Number of pages | 11 |
| Journal | Aerosol and Air Quality Research |
| Volume | 16 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2016 Jun |
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All Science Journal Classification (ASJC) codes
- Environmental Chemistry
- Pollution
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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 journal › Article
TY - JOUR
T1 - 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
AU - Hsu, Chin Yu
AU - Lin, Ming Yeng
AU - Chiang, Hung Che
AU - Chen, Mu Jean
AU - Lin, Tzu Yu
AU - Chen, Yu Cheng
PY - 2016/6
Y1 - 2016/6
N2 - 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.
AB - 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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UR - http://www.scopus.com/inward/citedby.url?scp=84970968863&partnerID=8YFLogxK
U2 - 10.4209/aaqr.2014.12.0311
DO - 10.4209/aaqr.2014.12.0311
M3 - Article
AN - SCOPUS:84970968863
VL - 16
SP - 1416
EP - 1426
JO - Aerosol and Air Quality Research
JF - Aerosol and Air Quality Research
SN - 1680-8584
IS - 6
ER -