乌鲁木齐PM_(2.5)与其他空气污染物的去趋势互相关系数分析

Detrended Cross-Correlation Coefficient Analysis of PM_(2.5) and Other Air Pollutants in Urumqi

为了避免时间趋势对相关性的影响,深入了解乌鲁木齐市PM_(2.5)与其他空气污染物的相关关系,本文基于乌鲁木齐市2015-2018年监测站点空气质量实时监测数据,使用新方法—去趋势互相关系数分析法来探索乌市PM_(2.5)与PM_(10)、SO_(2)、NO_(2)、CO、O_(3)五种空气污染物之间的关系.一方面,通过去趋势互相关系数分析法分别对以“天”为单位和以“小时”为单位的数据进行分析,发现PM_(2.5)与PM_(10)、SO_(2)、NO_(2)、CO之间呈正相关性,与O_(3)呈负相关性,并发现CO相比其他空气污染物与PM_(2.5)的关系最为显著.另一方面,去趋势互相关系数分析法的等值线图可以直接观察到乌市PM_(2.5)与其他空气污染物在不同时间点和不同时间尺度下的相关关系变化状况,从而为乌市空气质量问题的治理,降低人类健康风险提供理论支持.

In order to avoid the impact of time trend on correlation and deeply understand the correlation between PM_(2.5)and other air pollutants in Urumqi,based on the real-time air quality monitoring data of monitoring stations in Urumqi from 2015 to 2018,this paper used a new method which is detrended cross-correlation coefficient analysis to explore the correlation between PM_(2.5)and five air pollutants(PM_(10)、SO_(2)、NO_(2)、CO、O_(3)) in Urumqi.On the one hand,through the detrended cross-correlation coefficient analysis method to analyze the data in "day " and "hour " respectively,it was found that there is a positive correlation between PM_(2.5)and PM_(10)、SO_(2)、NO_(2)、CO,and a negative correlation with O_(3),and it was found that compared with other air pollutants,the relationship between CO and PM_(2.5)is the most significant.On the other hand,the contour map of detrended cross-correlation coefficient analysis method can directly observe the changes of the correlation between PM_(2.5)and other air pollutants in Urumqi at different time points and different time scales,so as to provide theoretical support for the treatment of air quality problems in Urumqi and reduce human health risks.