Predict the particulate matter concentrations in 128 cities of China

Date

2020-03-26

Advisors

Journal Title

Journal ISSN

ISSN

1873-9318

Volume Title

Publisher

Springer

Type

Article

Peer reviewed

Yes

Abstract

To predict the concentrations of PM2.5 and PM10 in the 128 cities of China, the discrete grey prediction model with fractional order accumulation (DFGM(1,1)) was used to predict the annual average PM2.5 and PM10 concentrations from 2019 to 2023. The result is as following: the annual average PM2.5 concentrations of Xi'an, Xuzhou, Ordos, Jingmen, Meizhou, Huizhou, Panzhihua, Kunming, Jixi and Yichun are increasing from 2019 to 2023. The annual average PM2.5 concentrations in the 118 other cities are decreasing from 2019 to 2023. While the annual average PM10 concentrations of Taiyuan, Ordos, Dongguan, Karamay, Foshan, Yichun, Qitaihe, Jinzhou and Heihe are increasing from 2019 to 2023. The annual average PM10 concentrations in the 119 other cities are decreasing from 2019 to 2023.

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

PM2.5, PM10, grey prediction model with fractional order accumulation, buffer operators, Grey Wolf Optimizer

Citation

Meng, D., Xu, Z., Wu, L. and Yang, Y. (2020) Predict the particulate matter concentrations in 128 cities of China. Air Quality, Atmosphere & Health,13, pp. 399–407.

Rights

Research Institute

Institute of Artificial Intelligence (IAI)