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中文摘要：
针对合肥市环境空气中的 PM2．5污染，使用残差分析、相关系数等方法，建立多元线性回归、污染指数、改进的高斯等模型，运用 Matlab、Eviews、Surfer 等软件，对数据进行处理，得出结论：1）影响 PM2．5浓度的主要影响因素是 CO、PM10的浓度；2）该地区 PM2．5的时空分布和传播规律为沿市区向周围污染逐渐降低；3）自然因素对 PM2．5的传播主要受到风速、温度的影响且随着温度升高污染程度降低，风速越大污染程度越高。
英文摘要：
For the problem about Hefei’s air pollution by PM2.5 , the authors use residual analysis, correlation coefficient method and other methods to set up multivariate linear regression model, the pollution index model, improved Gaussian model.Then the data are processed by using Matlab, Eviews, and Surfer software and so on.Firstly, it is concluded that the main factors affecting the concentrations of PM2.5 are CO and PM10 , the temporal and spatial distribution and propagation about PM2.5 in the region that gradually reduce pollution from center to the surroundings.Secondly, natural factors for PM2.5 spread mainly are wind speed and temperature.And as the temperature increases pollution level gets lower, the higher the wind speed, the greater the degree of pollution gets higher.
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