Kalman滤波法在城市空气污染预报中的应用

The application of Kalman filter approach in air pollutant forecast

利用 Kalman滤波法结合由逐步回归法选出的 T1 0 6气象因子 ,对大连市的空气质量进行预测预报 ,得出了该法与传统的多元回归法相比具有物理意义明显、准确率高的结论。

This paper discusses how to apply the Kalman filter in air pollutant forecast Seting Dalian as a example, we forecast the air pollutant with meteorological factors which come from T106 by discriminant regression, and get a satisfactory result compared to multifactor regression