OPEN ACCESS

Articles online

The Temporal Variations of PM10 Concentration in Taipei: A Fractal Approach

Category: Articles

Volume: 4 | Issue: 1 | Pages: 38-55
DOI: 10.4209/aaqr.2004.07.0004
PDF | RIS | BibTeX

Ding-Shun Ho1, Lain-Chuen Juang1, Yu-Ying Liao1, Cheng-Cai Wang1, Chung-Kung Lee 1, Ting-Chu Hsu1, Shaw-Yang Yang2, Chung-Chin Yu1

  • 1 Department of Environmental Engineering, Vanung University, Chung-Li, 320, Taiwan, ROC
  • 2 Department of Civil Engineering, Vanung University, Chung-Li, 320, Taiwan, ROC

Abstract

A one-year series of hourly average PM10 observations, which was obtained from the urban and national park air monitoring station at Taipei (Taiwan), was analyzed by descriptive statistics and fractal methods to examine the temporal structures of PM10 concentrations. It was found that all PM10 measurements exhibited the characteristic right-skewed unimodal frequency distribution and long-term memory. A monodimensional fractal analysis was performed by transferring the PM10 concentration time series into a useful compact form: the box-dimension (DB)-threshold (Th) and critical scale (CS)-threshold (Th) plots. Scale invariance was found in these time series and the box dimension was shown to be a decreasing function of the threshold PM10 level, implying multifractal characteristics, (i.e., the weak and intense regions scale differently). To test this hypothesis, the PM10 concentration time series were transferred into multifractal spectra, i.e., the τ(q)-q plots. The analysis confirmed the existence of multifractal characteristics. A simple two-scale Cantor set with unequal scales and weights was then used to fit the calculated τ(q)-q plots. This model fits well with the entire spectrum of scaling exponents for the examined PM10 time series. The relationship between the fractal parameters and classical statistical characteristics, as well as some problems concerning the applicability of fractal methods on air pollution, are discussed.

Keywords

PM10 Box counting Multifractal scaling analysis Multifractal cascade model Long-range dependence Scale invariance


Related Article

Critical Emissions from the Largest On-Road Transport Network in South Asia

Saroj Kumar Sahu , Gufran Beig, Neha Parkhi
Volume: 14 | Issue: 1 | Pages: 135-144
DOI: 10.4209/aaqr.2013.04.0137
PDF

Ambient Air Quality during Diwali Festival over Kolkata – A Mega-City in India

A. Chatterjee , C. Sarkar, A. Adak, U. Mukherjee, S.K. Ghosh, S. Raha
Volume: 13 | Issue: 3 | Pages: 1133-1144
DOI: 10.4209/aaqr.2012.03.0062
PDF

Exploring the Variation between EC and BC in a Variety of Locations

Gbenga Oladoyin Salako, Philip K. Hopke , David D. Cohen, Bilkis A. Begum, Swapan K. Biswas, Gauri Girish Pandit, Yong-Sam Chung, Shamsiah Abd Rahman, Mohd Suhaimi Hamzah, Perry Davy, Andreas Markwitz, Dagva Shagjjamba, Sereeter Lodoysamba, Wanna Wimolwattanapun, Supamatthree Bunprapob
Volume: 12 | Issue: 1 | Pages: 1-7
DOI: 10.4209/aaqr.2011.09.0150
PDF
;