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arXiv · 1809.09998

Spatial statistics of atmospheric particulate matter in China

Shenghui Gao·Yangjun Wang·Yongxiang Huang·Quan Zhou·Zhiming Lu·Xiang Shi·Yulu Liu
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Abstract

In this paper, the spatial dynamics of the atmospheric particulate matters (resp. PM$_{10}$ and PM$_{2.5}$) are studied using turbulence methodologies. It is found experimentally that the spatial correlation function $ρ(r)$ shows a log-law on the mesoscale range, i.e., $50\le r\le 500\,{km}$, with an experimental scaling exponent $β=0.45$. The spatial structure function shows a power-law behavior on the mesoscale range $90\le r\le 500\,{km}$. The experimental scaling exponent $ζ(q)$ is convex, showing that the intermittent correction is relevant in characterizing the spatial dynamic of particulate matter. The measured singularity spectrum $f(α)$ also shows its multifractal nature. Experimentally, the particulate matter is more intermittent than the passive scalar, which could be partially due to the \red{mesoscale movements} of the atmosphere, and also due to local sources, such as local industry activities.

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Shenghui Gao, Yangjun Wang, Yongxiang Huang, Quan Zhou, Zhiming Lu, Xiang Shi, Yulu Liu. 2018-09-20. Spatial statistics of atmospheric particulate matter in China. https://doi.org/10.1016/j.atmosenv.2016.03.052

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