Work

Gray Prediction of Air Pollutants in Beijing Based on Improved Residual GM (1, 1) Model

Year: 2016
Type: conference-paper
Abstract: Based on the gray system theory, the original gray predicting model, the residual correction model and the residual model have been established for PM 10 , SO 2 and NO 2 , which are the major atmospheric pollution factors in Beijing.After comparing those three models, this paper established a new improved residual model, and the results show that: the improved residual model has reached a better accuracy in forecasting.This model can be used to predict the concentration of common pollutants in air in Beijing for the next few years as well as to forecast the development of air pollutants.
Authors: Yong Shao, Yang Zhang, Changshun Yan
Language: English
Open Access status: hybrid
OpenAlex ID: W2575688540
FWCI:
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Cited by: 1
Related to: 10