Prediction of air quality indicators for the Beijing-Tianjin-Hebei region

Date

2018-06-14

Advisors

Journal Title

Journal ISSN

ISSN

0959-6526

Volume Title

Publisher

Elsevier

Type

Article

Peer reviewed

Yes

Abstract

The Beijing-Tianjin-Hebei region is facing a very serious air pollution problem. To obtain the future trend of air quality, the GM(1,1) model with the fractional order accumulation (FGM(1,1)) is used to predict the average annual concentrations of PM2.5, PM10, SO2, NO2, 8-h O3, and 24-h O3 in the Beijing-Tianjin-Hebei region from 2017 to 2020. The concentrations of PM2.5 and SO2 will decrease and the 8-h O3 and 24-h O3 will increase in this region. The concentrations of PM10 and NO2 will decrease in the Taihang-Mountain-adjacent region (Baoding, Shijiazhuang, Xingtai, Handan and Hengshui) and increase in the Northern region (Zhangjiakou, Chengde and Qinhuangdao). The concentration of PM10 will decrease and NO2 will increase in the Bohai Sea region (Tangshan, Tianjin, Cangzhou, Beijing and Langfang). Our results can be directly exploited in the decision-making processes for air quality management.

Description

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.

Keywords

Air quality indicators, Beijing-Tianjin-Hebei, GM(1,1) with fractional order accumulation

Citation

Wu, L., Li, N., Yang, Y. (2018) Prediction of air quality indicators for the Beijing-Tianjin-Hebei region. Journal of Cleaner Production,196, pp.682-687.

Rights

Research Institute

Institute of Artificial Intelligence (IAI)