郑州市大气可吸入颗粒物浓度变化的小波分

Variation Analysis on Concentration of Inhalable Particulate Matterin Zhengzhou by Wavelet Transformation

对郑州市2005-2010年大气可吸入颗粒物浓度(PM10)的变化特征进行了分析,利用小波分析法对郑州市PM10日浓度变化曲线进行了消噪滤波分析,并结合郑州市的气候条件,讨论了造成郑州市PM10变化规律的原因.结果表明:郑州市PM10质量浓度在夏季达到最低值,冬春季节污染较严重,这与郑州所处的地理位置、自然环境以及气候、气象条件有直接关系;郑州市大气污染物中的PM10污染得到了一定控制,但二氧化硫污染天数增加较多,应该注意SO2污染的控制;小波分析后的浓度曲线较好地把由于偶然因素造成的高频信号消除,清晰显示出污染物浓度的变化规律,小波分析法在PM10浓度变化规律的分析中有明显优势.

Variation characterization of Concentration of inhalable particulate matter （PM10） in Zhengzhou during 2005 to 2010 was investigated . The denoising filtration analysis on daily variation curve of PM10 in Zhengzhou was conducted by Wavelet Transformation. The reasons causing the variation regularity of PM10 were discussed combining the climate condition of Zhengzhou. The results show that the concentration of PM10 in Zhengzhou reach its lowest value in summer of a year, and the PMlo pollution in winter and spring are more serious. This was due to the geography and nature environment, the climate and meteorology condition of Zhengzhou. The PM10 pollution was under control , whereas the days of SO2 as the principal pollutant increase; The SO2 pollution should be controlled in future. The concentration curve after wavelet transformation can well eliminate the high frequency signal caused by accident factors so that the variation regularity of the concentra- tion of pollutants can be shown clearly. The wavelet transformation has the obviously advantage in analyzing the variation regularity of the concentration of PM10.