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大气污染主成分回归预报模型及试报分析
引用本文:姜信君. 大气污染主成分回归预报模型及试报分析[J]. 辽东学院学报(自然科学版), 2010, 17(3)
作者姓名:姜信君
作者单位:辽东学院,辽宁,丹东,118003
摘    要:针对丹东城区SO2污染的实际情况及与气象因子的关系,建立了主成分回归预报模型,并在实际预报中进行了模拟、试报和应用、模型拟合及预报效果检验,结果发现:模型模拟值与实际值的变化趋势基本一致,模型可以用于各季SO2浓度预报。并与现行预报模型进行比较,预报误差有所减小,精度进一步提高,模型更符合丹东城区SO2污染的实际情况。

关 键 词:大气污染  预报  模型  主成分回归

A Prediction Model for Air Pollution based on Principal Component Regression Analysis and Its Test Report
JIANG Xin-jun. A Prediction Model for Air Pollution based on Principal Component Regression Analysis and Its Test Report[J]. Journal of Liaodong University(Natural Sciences), 2010, 17(3)
Authors:JIANG Xin-jun
Affiliation:JIANG Xin-jun(Teacher's College,Eastern Liaoning University,D,ong 118003,China)
Abstract:A prediction model for air pollution based on principal component regression was established according to the relationship between the actual situation of sulfur dioxide pollution and the meteorological factors in Dandong city.The practical prediction report shows that the simulation results have a similar tendency with the true values;therefore,this model can be used for concentration prediction of sulfur dioxide in every season.
Keywords:air pollution  prediction  model  principal component regression  
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