太原市大气污染物浓度预测方法研究  

Research on the Predict Model of Air Pollutant Density in Taiyuan

作　　者：王素平[1] 

机构地区：[1]山西大学环境与资源学院,山西太原030006

出　　处：《山西大学学报（自然科学版）》2004年第3期303-305,共3页Journal of Shanxi University(Natural Science Edition)

摘　　要：太原市是全国大气污染最严重的城市之一,其中主要污染物有SO2、总悬浮颗粒物.根据"九五"期间太原市大气中SO2浓度变化规律,使用灰色系统理论,建立GM(1,1)动态模型,对SO2浓度进行预测.结果表明,预测模型精度较高,残差最大值小于15%,预测结果与实际状况基本相符.Taiyuan is one of the heaviest pollution cities in China.The main air pollutants are SO_2 and total suspended particle.The GM(1,1) dynamic model is built to predict the SO_2 Concentration in Taiyuan air by using grey system theory.As result,the predicting model is of high precision and the incomplete difference is less than 15%.The forecasting results were basically accorded with the factual situation.

关 键 词：太原市 大气污染物 浓度预测 灰色系统理论 空气质量监测 

分 类 号：X511[环境科学与工程—环境工程] X831