Application of GM (1, 1) model in PM2.5 content prediction

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/).

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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  -