Correlation analysis of AQI(air quality index)including the six basic monitoring indicators was conducted with statistical method. The specific relationship between PM2.5 and the other five indicators was achieved. As the dispersivity of pol-lution sources of PN2.5,the location and its relevant parameters of the equivalent pollution source were calculated according to monitoring data. Besides,the math model describing the PM2.5 concentration and its evolution was established based on the in-stantaneous Gauss model and Duhamel integral. According to the“Ambient Air Quality Standards”(GB3095-2012),the se-riously polluted and safe areas changing with time are illustrated dynamically.%采用统计学方法对西安地区监测点空气质量指数AQI包含的6个基本监测指标进行相关性分析。得出了PM2.5与其余5项监测指标的具体关系。由于PM2.5污染源具有分散性，通过监测数据求得当量污染源位置及相关参数，并基于瞬时高斯模型和杜哈梅积分建立了描述区域PM2.5浓度及其演变的数学模型。根据《环境空气质量标准》（GB3095-2012）动态地给出随时间变化的重度污染区域以及安全区域。
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机译：Assessing Correlation between PM2.5 and Meteorological Variables and Projecting the Impact of Climate Change on PM2.5 =PM2.5与气象因子的相关性分析及气候变化对PM2.5的影响
