安阳市采暖期环境空气质量多元回归统计预报模型的构建

Construction of Forecast Mode for Multiple Regression Statistics of Ambient Air Quality During Heating Period in Anyang City

本文根据安阳市空气污染情况的调查分析,采暖期与其他季节之间存在明显变化,采取经典的逐步回归统计法对空气质量建立预报模型,并对预测值与实测值进行效果对比,系统的预报准确率比较高。

According to the survey for the condition of air pollution in Anyang City, distinct change of air pollution condition exists between heating period and other seasons. This paper adopts the classic stepwise regression statistics to construct forecast model for air quality, and contrasts the effects of predictive value and measured value. Theforecast accuracy of this system is higher than others.