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| Titel |
Air-chemistry "turbulence": power-law scaling and statistical regularity |
| VerfasserIn |
H.-M. Hsu, C.-Y. Lin, A. Guenther, J. J. Tribbia, S. C. Liu |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7316
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 11, no. 16 ; Nr. 11, no. 16 (2011-08-18), S.8395-8413 |
| Datensatznummer |
250010011
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| Publikation (Nr.) |
 copernicus.org/acp-11-8395-2011.pdf |
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| Zusammenfassung |
| With the intent to gain further knowledge on the spectral structures and
statistical regularities of surface atmospheric chemistry, the chemical
gases (NO, NO2, NOx, CO, SO2, and O3) and aerosol
(PM10) measured at 74 air quality monitoring stations over the island
of Taiwan are analyzed for the year of 2004 at hourly resolution. They
represent a range of surface air quality with a mixed combination of
geographic settings, and include urban/rural, coastal/inland, plain/hill, and industrial/agricultural locations. In addition to the well-known semi-diurnal and diurnal
oscillations, weekly, and intermediate (20 ~ 30 days) peaks are also
identified with the continuous wavelet transform (CWT). The spectra indicate
power-law scaling regions for the frequencies higher than the diurnal and
those lower than the diurnal with the average exponents of −5/3 and −1,
respectively. These dual-exponents are corroborated with those with the
detrended fluctuation analysis in the corresponding time-lag regions. These
exponents are mostly independent of the averages and standard deviations of
time series measured at various geographic settings, i.e., the spatial
inhomogeneities. In other words, they possess dominant universal structures.
After spectral coefficients from the CWT decomposition are grouped according
to the spectral bands, and inverted separately, the PDFs of the
reconstructed time series for the high-frequency band demonstrate the
interesting statistical regularity, −3 power-law scaling for the heavy
tails, consistently. Such spectral peaks, dual-exponent structures, and
power-law scaling in heavy tails are important structural information, but
their relations to turbulence and mesoscale variability require further
investigations. This could lead to a better understanding of the processes
controlling air quality. |
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