Application of Haze Forecasts Based on Combined Multivariable and Probability Stepwise Regression

Authors

Yonghua Xie, 1. School of Computer and Software, Nanjing University of Information science and Technology, Nanjing 210044, China; ;2. 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; ;
Mingmin Zhang, 1. School of Computer and Software, Nanjing University of Information science and Technology, Nanjing 210044, China; ;
Hengde Zhang, 3. Nation Meteorological Center of CMA, Beijing 100081, China;

Abstract

Abstract: Aiming at the less models available and poor prediction performance of current haze forecasting, combining statistical forecast and numerical prediction, a new haze prediction model was proposed based on hybrid stepwise multivariable and probability regression. Multivariable stepwise regression was used to control physical factors which influenced depending variable and the equation for atmosphere visibility wasgenerated. A haze prediction model based on binary variables was established using probability regression combined with factors like visibility and relative humidity. Experimental results have proved that compared with the existing CUACE, which is one of the main digital haze forecasting system, the accuracy using the hybrid regression forecasting model suggested is obviously higher.

Recommended Citation

Xie, Yonghua; Yang, Le; Zhang, Mingmin; and Zhang, Hengde (2020) "Application of Haze Forecasts Based on Combined Multivariable and Probability Stepwise Regression," Journal of System Simulation: Vol. 29: Iss. 1, Article 3.
DOI: 10.16182/j.issn1004731x.joss.201701003
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss1/3

First Page

14

Revised Date

2015-06-19

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201701003

Last Page

20

CLC

TP391.9

Recommended Citation

Xie Yonghua, Yang Le, Zhang Mingmin, Zhang Hengde. Application of Haze Forecasts Based on Combined Multivariable and Probability Stepwise Regression[J]. Journal of System Simulation, 2017, 29(1): 14-20.

DOI

10.16182/j.issn1004731x.joss.201701003