Using FGM(1,1) model to predict the number of the lightly polluted day in Jing-Jin-Ji region of China

被引：31
作者：
Wu, Lifeng [1 ]
Zhao, Hongying [1 ]
机构：
[1] Hebei Univ Engn, Coll Management Engn & Business, Handan 056038, Peoples R China
来源：
ATMOSPHERIC POLLUTION RESEARCH | 2019年 / 10卷 / 02期
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
The lightly polluted day; The Jing-Jin-Ji region; Fractional order accumulation GM(1,1) model; Air quality; Annual average concentration of PM2.5; EARLY WARNING SYSTEM; PM2.5; CONCENTRATIONS; ENSEMBLE MODEL;
D O I：
10.1016/j.apr.2018.10.004
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper focuses on the problem of poor air quality in Jing-Jin-Ji region of China. According to the data of the report on the state of the environment in Jing-Jin-Ji region in 2013-2016, the fractional order accumulation GM (1,1) model was adopted to predict the number of the lightly polluted day and the annual average concentration of PM2.5 in the Jing-Jin-Ji region in 2020. The forecasting results show that it will be difficult for the Jing-Jin-Ji region to achieve the goal of more than 80% lightly polluted day in 2020. The Jing-Jin-Ji region should adjust measures according to the local conditions, to achieve a significant improvement of air quality.
引用
收藏
页码：552 / 555
页数：4
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