Multifractal analysis of atmospheric sub-micron particle data

Rubén Darío Arizabalo; Eugenio González-Ávalos; Gabor Korvin

doi:10.1016/j.atmosres.2014.11.008

Multifractal analysis of atmospheric sub-micron particle data

Rubén Darío Arizabalo^*, Eugenio González-Ávalos, Gabor Korvin

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Multifractal analysis was used to describe air pollution by sub-micrometric atmospheric particles. Atmospheric particle concentrations were studied from March 31 to April 21, 2006, as part of the MILAGRO campaign at the Jasso Station by means of an SMPS. Sixteen campaign days were selected to carry out the multifractal analysis of the experimental data through Singularity Spectra f(α). In this work, the roughness/smoothness feature of atmospheric particle distributions was studied by means of the Hölder exponent (α), which can be associated with the intensity of particle emissions through time and the randomness of the external emission sources. Multifractal analysis has been found to be a useful tool to establish intensity fluctuations of atmospheric data.

Original language	English
Pages (from-to)	191-203
Number of pages	13
Journal	Atmospheric Research
Volume	154
DOIs	https://doi.org/10.1016/j.atmosres.2014.11.008
State	Published - 1 Mar 2015

Bibliographical note

Publisher Copyright:
© 2014 Elsevier B.V.

Keywords

Atmospheric particles
Hölder exponent
Multifractal analysis
Singularity spectra

ASJC Scopus subject areas

Atmospheric Science

Access to Document

10.1016/j.atmosres.2014.11.008

Cite this

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title = "Multifractal analysis of atmospheric sub-micron particle data",

abstract = "Multifractal analysis was used to describe air pollution by sub-micrometric atmospheric particles. Atmospheric particle concentrations were studied from March 31 to April 21, 2006, as part of the MILAGRO campaign at the Jasso Station by means of an SMPS. Sixteen campaign days were selected to carry out the multifractal analysis of the experimental data through Singularity Spectra f(α). In this work, the roughness/smoothness feature of atmospheric particle distributions was studied by means of the H{\"o}lder exponent (α), which can be associated with the intensity of particle emissions through time and the randomness of the external emission sources. Multifractal analysis has been found to be a useful tool to establish intensity fluctuations of atmospheric data.",

keywords = "Atmospheric particles, H{\"o}lder exponent, Multifractal analysis, Singularity spectra",

author = "Arizabalo, \{Rub{\'e}n Dar{\'i}o\} and Eugenio Gonz{\'a}lez-{\'A}valos and Gabor Korvin",

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year = "2015",

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doi = "10.1016/j.atmosres.2014.11.008",

language = "English",

volume = "154",

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journal = "Atmospheric Research",

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T1 - Multifractal analysis of atmospheric sub-micron particle data

AU - Arizabalo, Rubén Darío

AU - González-Ávalos, Eugenio

AU - Korvin, Gabor

PY - 2015/3/1

Y1 - 2015/3/1

N2 - Multifractal analysis was used to describe air pollution by sub-micrometric atmospheric particles. Atmospheric particle concentrations were studied from March 31 to April 21, 2006, as part of the MILAGRO campaign at the Jasso Station by means of an SMPS. Sixteen campaign days were selected to carry out the multifractal analysis of the experimental data through Singularity Spectra f(α). In this work, the roughness/smoothness feature of atmospheric particle distributions was studied by means of the Hölder exponent (α), which can be associated with the intensity of particle emissions through time and the randomness of the external emission sources. Multifractal analysis has been found to be a useful tool to establish intensity fluctuations of atmospheric data.

AB - Multifractal analysis was used to describe air pollution by sub-micrometric atmospheric particles. Atmospheric particle concentrations were studied from March 31 to April 21, 2006, as part of the MILAGRO campaign at the Jasso Station by means of an SMPS. Sixteen campaign days were selected to carry out the multifractal analysis of the experimental data through Singularity Spectra f(α). In this work, the roughness/smoothness feature of atmospheric particle distributions was studied by means of the Hölder exponent (α), which can be associated with the intensity of particle emissions through time and the randomness of the external emission sources. Multifractal analysis has been found to be a useful tool to establish intensity fluctuations of atmospheric data.

KW - Atmospheric particles

KW - Hölder exponent

KW - Multifractal analysis

KW - Singularity spectra

UR - https://www.scopus.com/pages/publications/84916896359

U2 - 10.1016/j.atmosres.2014.11.008

DO - 10.1016/j.atmosres.2014.11.008

M3 - Article

AN - SCOPUS:84916896359

SN - 0169-8095

VL - 154

SP - 191

EP - 203

JO - Atmospheric Research

JF - Atmospheric Research

ER -

Multifractal analysis of atmospheric sub-micron particle data

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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