Study of Atmospheric Particulates’ Fractal Feature Based on Fractal Combined with Bior 3.7 Wavelet

DOI

10.2991/isrme-15.2015.436How to use a DOI?

Keywords

Atmospheric Particulates; Bior 3.7 Wavelet; Fractal Feature

Abstract

A method based on fractal combined with Bior 3.7 wavelet is proposed to analyze atmospheric particulates’ fractal feature. By the use of microscope, atmospheric particulate samples were taken into digital images. After a series of image processing including Bior 3.7 wavelet decomposition and reconstruction, and fractal-dimension calculation. Results indicate that: There is a inverse relation between particulates’ fractal dimension and grain size. Larger the fractal dimension of particulate is, the higher content of fine particulate matter it will have; Smaller the particulate’s fractal dimension is, greater its degree of sphericility is and smaller its specific surface area is; To a higher level’s detail signal of atmospheric particulates, the fractal dimension of this detail signal turns small. What’s more, the H signal, V signal and D signal are the same as atmospheric particulates’ detail signal. So, higher level’s detail signal of atmospheric particulates includes more large diameter particles

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yan Wang
AU  - Xuezhen Cheng
AU  - Peng Wang
AU  - Aying Wei
PY  - 2015/04
DA  - 2015/04
TI  - Study of Atmospheric Particulates’ Fractal Feature Based on Fractal Combined with Bior 3.7 Wavelet
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 2107
EP  - 2110
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.436
DO  - 10.2991/isrme-15.2015.436
ID  - Wang2015/04
ER  -