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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,佟瑞洲.大气污染主成分回归预报模型及试报分析[J].辽宁大学学报(自然科学版),2010,37(2):183-185.
作者姓名:姜信君  佟瑞洲
作者单位:1. 辽东学院,辽宁,丹东,118003
2. 朝阳师范高等专科学校,辽宁,朝阳,122000
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.

关 键 词:大气污染  预报  模型  主成分回归

The Report Analysis and Prediction Model on Principal Constituent Regression of Air Pollution
JIANG Xin-jun,TONG Rui-zhou.The Report Analysis and Prediction Model on Principal Constituent Regression of Air Pollution[J].Journal of Liaoning University(Natural Sciences Edition),2010,37(2):183-185.
Authors:JIANG Xin-jun  TONG Rui-zhou
Institution:1.Eastern Liaoning University,Dandong,118003,China;2.Chaoyang Teachers College,Chaoyang,122000,China)
Abstract:The principal constituent regression prediction model is established according to the relationship between the actual case of sulfur dioxide pollution and the meteorologic factors in Dandong city.Simulation,try report,application,model fitting and analysis of prediction effect are finished in the practice prediction.It is found that the running tendency of model simulated values is almost in conformity with that of actual values and the model may be used as concentration prediction of sulfur dioxide in every season.
Keywords:Air Pollution  Prediction  Model  Principal Constituent Regression
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