Predict the particulate matter concentrations in 128 cities of China

被引:8
|
作者
Dun Meng [1 ]
Xu Zhicun [1 ]
Wu, Lifeng [1 ]
Yang, Yingjie [2 ]
机构
[1] Hebei Univ Engn, Coll Management Engn & Business, Handan 056038, Peoples R China
[2] De Montfort Univ, Ctr Computat Intelligence, Leicester LE1 9BH, Leics, England
来源
AIR QUALITY ATMOSPHERE AND HEALTH | 2020年 / 13卷 / 04期
基金
中国国家自然科学基金;
关键词
PM2; 5; PM10; Gray prediction model with fractional order accumulation; Buffer operators; Gray wolf optimizer; MODELS;
D O I
10.1007/s11869-020-00819-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:399 / 407
页数:9
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