摘要
从分析环境空气污染物月均值的时间变化规律入手 ,找出与污染物变化特征相对应的数学函数 ,应用曲线拟合的方法 ,结合统计回归分析 ,建立曲线拟合方程。
This paper analyzed the varying pattern of average monthly value of the environmental air pollutants, and found out the mathematical functions corresponding to the changing characters of the air pollutants Used curve fit method, combining with statistical regressive analysis we set up a series of curve fit equations The equations can be applied to middle long period forecasting of the air pollutants
出处
《中国环境监测》
CAS
CSCD
北大核心
2001年第5期40-42,共3页
Environmental Monitoring in China