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- 2017
基于MF-DCCA的港口与非港口地区PM2.5与NOX互相关性分析
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Abstract:
针对PM2.5与NOX序列间的互相关性特征，采用多重分形去趋势波动互相关分析法(MF-DCCA)，对香港葵涌(港口)和沙田(非港口)地区的PM2.5与NOX浓度序列进行了研究.首先，基于整体数据进行研究，发现港口和非港口地区的PM2.5与NOX的互相关性均具有长程相关性和多重分形特征，港口地区的多重分形特征比非港口地区的要弱.然后，对四季数据进行研究，结果表明港口和非港口地区的PM2.5与NOX的互相关性在四个季节均具有长程相关性和多重分形特征.而且PM2.5和NOX互相关性多重分形特征具有明显的季节变化，春、夏、秋季时港口地区的PM2.5与NOX的互相关性多重分形特征比非港口地区的弱，冬季则相反.
In order to get a better understanding of the cross-correlation between PM2.5 and NOX time series, multifractal detrended cross-correlation analysis (MF-DCCA) was made to study the concentration of PM2.5 and NOX sequences in KwaiChung (a port) or in ShaTin (a non-port area) in Hong Kong. First, an analysis of all the relevant data showed that the cross-correlation between PM2.5 and NOX had long-range correlation and multifractal characteristics either in KwaiChung or in ShaTin, the multifractal characteristics being weaker in KwaiChung than in ShaTin. Then, based on an analysis of the seasonal data, the cross-correlation between PM2.5 and NOX was shown to have long-range correlation and multifractal characteristics in all the four seasons both in KwaiChung and ShaTin. The multifractal characteristics between PM2.5 and NOX exhibited a marked seasonal variation, being weaker in KwaiChung than in ShaTin in spring, summer and autumn, and the opposite was true in winter
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