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| Titel |
Spatial Statistics of atmospheric particulate matter in China |
| VerfasserIn |
Yongxiang Huang, Yangjun Wang, Yulu Liu |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250148683
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| Publikation (Nr.) |
 EGU/EGU2017-12962.pdf |
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| Zusammenfassung |
| In this work, the spatial dynamics of the atmospheric particulate matters (resp. PM10 and
PM2.5) are studied using turbulence methodologies. The hourly concentrations of particulate
matter were released by the Chinese government (http://www.cnemc.cn). We first processed
these data into daily average concentrations. Totally, there are 305 monitor stations with an
observations period of 425 days. It is found experimentally that the spatial correlation
function ρ(r) shows a log-law on the mesoscale range, i.e., 50 ≤ r ≤ 500 km, with an
experimental scaling exponent β = 0.45. The spatial structure function shows a power-law
behavior on the mesoscale range 90 ≤ r ≤ 500 km. The experimental scaling exponent ζ(q)
is convex, showing that the intermittent correction is relevant in characterizing the
spatial dynamics of particulate matter. The measured singularity spectrum f(α)
also shows its multifractal nature. Experimentally, the particulate matter is more
intermittent than the passive scalar, which could be partially due to the mesoscale
movements of the atmosphere, and also due to local sources, such as local industry
activities. |
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