Study of Atmospheric Particulates’ Fractal Feature Based on Fractal Combined with Bior 3.7 Wavelet
- https://doi.org/10.2991/isrme-15.2015.436How to use a DOI?
- Atmospheric Particulates; Bior 3.7 Wavelet; Fractal Feature
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
- © 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/).
Cite this article
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 - https://doi.org/10.2991/isrme-15.2015.436 ID - Wang2015/04 ER -