4.5 Article

Predict the particulate matter concentrations in 128 cities of China

Journal

AIR QUALITY ATMOSPHERE AND HEALTH
Volume 13, Issue 4, Pages 399-407

Publisher

SPRINGER
DOI: 10.1007/s11869-020-00819-5

Keywords

PM2; 5; PM10; Gray prediction model with fractional order accumulation; Buffer operators; Gray wolf optimizer

Funding

  1. National Natural Science Foundation of China [71871084]
  2. Excellent Young Scientist Foundation of Hebei Education Department [SLRC2019001]

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To predict the concentrations of PM2.5 and PM10 in the 128 cities of China, the discrete gray 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.

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