北京地区气溶胶PM2.5粒子浓度的相关因子及其估算模型

THE CORRELATION FACTORS AND POLLUTION FORECAST MODEL FOR PM2.5 CONCENTRATION IN BEIJING AREA

  • 摘要: 文中运用统计分析和气象统计预报的方法,使用北京白石桥小区的污染物观测资料和同期北京地区的气象观测资料,对影响大气污染的气象因子进行了综合分析,并分别建立了气溶胶PM2.5粒子浓度与气体污染物、气象要素场的两类统计相关拟合模型。发现气溶胶PM2.5粒子浓度与气体污染物浓度存在不同程度的相关性,且与气象条件亦存在显著的相关关系,此类时空变化及其量化估算模型具有一定实际应用价值。通过确定气象要素场和气溶胶浓度的关系可进一步研究不同地区的污染物输送和污染源扩散影响的问题。

     

    Abstract: The meteorological influencing factors on pollutions are analyzed by means of pollution data observed in Baishiqiao(Beijing) and meteorological data in Beijing ambientareas.The relationship between PM2.5 concen tration and air pollut ants are explored in terms of successive regression method.The samemet hod is used to in vestigate the relationship between PM 2.5 concentration and meteorological factors.Positive correlation exists in PM2.5 and SO2,NOx and negative correlation exists in PM 2.5 and O3.The analysis results indicate that SO2 and NOx concent ration basically fit the variety of PM 2.5 concentration.The relationship between PM 2.5 and air pollutants indicat es regional pollution characteristics in Beijing area.

     

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