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Study on the relationship between PM2.5 and the interaction between air pressure and temperture based on GAM model

机译:基于GAM模型的PM2.5与气压与温度相互作用的研究

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摘要

This paper studies the influence of the interaction of two factors on the important air quality monitoring index PM2.5. Specifically, the GAM model based on the interaction of air pressure and temperature and the PM2.5 value is used to obtain the nonlinear relationship between air pressure, temperature and PM2.5. The GAM model has a high degree of fit, that is, the interaction of air pressure and temperature has a greater impact on the PM2.5 value. Therefore, the interaction between pressure and temperature can be used to predict the response variable PM2.5 accurately. Keywords: GAM model;interaction;PM2.5
机译:本文研究了两个因素对重要空气质量监测指标PM2.5的影响的影响。具体地,用于基于空气压力和温度和PM2.5值的相互作用的GAM模型来获得气压,温度和PM2.5之间的非线性关系。 GAM模型具有高度的贴合性,即气压和温度的相互作用对PM2.5的值具有更大的影响。因此,压力和温度之间的相互作用可用于精确地预测响应变量PM2.5。关键词:Gam模型;互动; PM2.5

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