Application of Multiple-Stepwise and Kalman Filtering in Haze Forecast

Authors

Yunhao Xian, 1.School of Computer and Software, Nanjing University of Information science and Technology, Nanjing 210044, China; ;
Hengde Zhang, 2.Nation Meteorological Center of CMA, Beijing 100081, China; ;
Yonghua Xie, 1.School of Computer and Software, Nanjing University of Information science and Technology, Nanjing 210044, China; ;3.Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information and Technology, Nanjing 210044, China;
Le Yang, 1.School of Computer and Software, Nanjing University of Information science and Technology, Nanjing 210044, China; ;

Abstract

Abstract: Considering the importance of objective haze forecast and the low accuracy rate of haze forecast, a new haze objective forecast correction method based on the multiple stepwise regression algorithms and the Kalman filtering algorithm is proposed. The multiple stepwise regression method is used to control the physical factor of the dependent variable, and the visibility forecast equation is established. The Kalman filtering method is adopted to correct the regression coefficient in multivariate stepwise regression algorithm according to the actual data, and the haze objective forecast correction model is established. The experiments are carried out in Beijing, Guangzhou, Nanjing and Hangzhou. The experimental results show that comparing with the operational running fog - haze numerical prediction system (CUACE), the prediction accuracy of the multiple stepwise regression and Kalman filtering method is improved.

Recommended Citation

Xian, Yunhao; Zhang, Hengde; Xie, Yonghua; and Yang, Le (2019) "Application of Multiple-Stepwise and Kalman Filtering in Haze Forecast," Journal of System Simulation: Vol. 30: Iss. 4, Article 33.
DOI: 10.16182/j.issn1004731x.joss.201804033
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss4/33

First Page

1482

Revised Date

2016-07-11

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201804033

Last Page

1489

CLC

TP391.9

Recommended Citation

Xian Yunhao, Zhang Hengde, Xie Yonghua, Yang Le. Application of Multiple-Stepwise and Kalman Filtering in Haze Forecast[J]. Journal of System Simulation, 2018, 30(4): 1482-1489.

DOI

10.16182/j.issn1004731x.joss.201804033