Spatial statistics of atmospheric particulate matter in China
Spatial statistics of atmospheric particulate matter in China
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DOI：
10.1016/j.atmosenv.2016.03.052
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发表时间：
2016-06
影响因子：
5
通讯作者：
Shenghui Gao;Yangjun Wang;Y. Huang;Quan Zhou;Zhiming Lu;Xiang Shi;Yu-lu Liu
中科院分区：
文献类型：
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作者：
Shenghui Gao;Yangjun Wang;Y. Huang;Quan Zhou;Zhiming Lu;Xiang Shi;Yu-lu Liu
本文对大气颗粒物的空间动力学进行了研究。使用湍流方法研究PM 10和PM 2.5。实验发现，空间相关函数ρ (r)在中尺度范围内表现为对数规律，即50≤r≤500 km，实验标度指数β= 0.45。在中尺度90≤r≤500 km范围内，空间结构函数表现为幂律行为。实验标度指数ζ (q)是凸的，表明间歇性校正是相关的表征颗粒物质的空间动态。测得的奇异谱f （α）也表现出多重分形的性质。实验表明，颗粒物质比被动标量更具间歇性，这可能部分是由于大气的中尺度运动，也可能是由于当地来源，如当地工业活动。
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, ie, 50≤ r≤ 500 km, with an experimental scaling exponent β= 0.45. The spatial structure function shows a power-law behavior on the mesoscale range 90≤ r≤ 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 mesoscale movements of the atmosphere, and also due to local sources, such as local industry activities.