Application of GM (1, 1) model in PM2.5 content prediction
Authors
Hongfu Ai, Ying Shi
Corresponding Author
Hongfu Ai
Available Online April 2016.
- DOI
- 10.2991/icemct-16.2016.7How to use a DOI?
- Keywords
- PM2.5; GM (1, 1) Model; Prediction
- Abstract
In recent years, the frequent occurrence of fog and haze weather phenomenon, and the governance of the haze are more difficult. In order to reduce the harm caused by the PM2.5 content of the main components of its prediction research has gradually become a hot spot. In this paper, taking Changchun city as an example, using the grey theory GM (1, 1) to establish the prediction model, the PM2.5 content in the next 2 days in Changchun city was predicted. Experimental results show that the forecast effect is good, can be used as an effective method of fog and haze weather forecast.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hongfu Ai AU - Ying Shi PY - 2016/04 DA - 2016/04 TI - Application of GM (1, 1) model in PM2.5 content prediction BT - Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16) PB - Atlantis Press SP - 31 EP - 34 SN - 2352-5398 UR - https://doi.org/10.2991/icemct-16.2016.7 DO - 10.2991/icemct-16.2016.7 ID - Ai2016/04 ER -