古交矿区大气污染的模式预测及其与实测值的比较

本文采用商斯烟羽模式或变天气条件烟团模式(点源),结合ATDL模式(面源),预测了古交煤矿区域各关心位置的大气污染物(SO_2、尘等)的年均浓度,典型日浓度、最大小时浓度,并利用相关系数r、符合指数d等统计学指标与实测值作了统计比较,结果表明,模式基本可行,但计算日均浓度的体源烟团模式,其性能明显优于计算年均浓度的高斯烟羽模式。

The Model Prediction of Atmospheric Pollu-tion and Its Comparison with the Observed Data in the Area of Gujiao Mine

The Gaussian plumemodel or volume puff model under changing weather conditions (for a point source) cee perated with ATDL (for an area source) has been used to predict the following quantities of atmospheric pollutants (SO₂, dust etc.) at several sites of interest in the area of Gujiao coal Mine:annual average concentration, typical average day concentration, and maximum hour concentration, the predicted values are statistically compared with measured ones based on the correlation coefficient r and the index of agreement d. The results show that the models adopted are applicable while the performance of the volume puff model is obviously better than the Gaussian plume model.