基于地面监测站的慈溪PM2.5动态分布特征研究

Dynamic Distribution of PM 2.5 in Cixi Based on Ground Monitor Data

PM2.5己成为当前我国大中城市的首要空气污染物,是造成灰霾天气的主要原因。通过对慈溪的环保大楼、实验小学2个监测站点进行监测,获得2014年6月1日至2017年4月30日的PM2.5日平均浓度数据。利用统计学方法,定量分析慈溪PM2.5的污染程度和时空分布特征,并简要探讨影响PM2.5污染的因素。结果表明,慈溪PM2.5污染逐年下降;PM2.5浓度季节变化和月变化规律明显,均呈"U"型分布;两个监测站点PM2.5浓度分布特征基本一致,具有空间相似性。

The major air pollutant — PM 2.5 is the main cause of the smog weather in China currently. The PM 2.5 daily average density data in Cixi, based on the monitoring of the two monitoring sites in Cixi, were obtained from June 1, 2014 to April 30, 2017. The spatial and temporal distribution of PM 2.5 as well as the degree of smoggy pollution is analyzed in a quantitative way through statistical methods, and the factors that affect the PM2.5 pollution are briefly discussed. The results show that, Cixi PM 2.5 pollution is declining yearly and the seasonal variation and the monthly variation of PM 2.5 concentration are obvious, distributing in an ＂U＂ type distribution. Besides, the distribution of PM 2.5 concentration in the two monitoring sites is basically the same, bearing the spatial similarity.