空气中PM2.5的分布与演变及应急处理

摘要

为了分析空气中PM2.5分布和演化规律，以苏州地区的实测数据进行了分析与建模。首先，用Pearson相关系数分析法确定了各污染物与PM2.5量间相关关系的具体表达形式，描述了其与PM2.5的数量规律。然后，针对苏州市PM2.5的季节分布情况，分析了苏州地区PM2.5含量随时间的变化曲线来说明其分布的时间特征。在进行污染评估时，我们将污染状况进行量化，结合数据得到苏南地区的污染状况。最后，我们运用回归模型结合PM2.5的变化情况，对高浓度PM2.5可能性进行预测，并且提出应急措施，找到该地区的重度污染和可能安全的区域。%In order to analyze the distribution and evolution of PM2. 5 in the air, the measured data of Suzhou was used to analyze and modeling. Pearson correlation coefficient analysis was used to determine the specific form of expression between the amounts of pollutants associated with PM2. 5 relations, and a number of laws between the various pollutants and PM2. 5 were described. For seasonal distribution of PM2. 5 in Suzhou City, the content of PM2. 5 curve over time in the Suzhou region was analyzed to illustrate the temporal characteristics of their distribution. During pollution assessment, combined with data obtained pollution in South, we will the pollution situation was quantified. Regression model was used to combine with the change of PM2. 5. The possibility of high concentrations of PM2. 5 was predicted, and emergency measures were proposed to find heavily polluted areas of the region and possible security area.