当前位置：
X-MOL 学术
›
Air Qual. Atmos. Health
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Predict the particulate matter concentrations in 128 cities of China
Air Quality, Atmosphere & Health ( IF 5.1 ) Pub Date : 2020-03-26 , DOI: 10.1007/s11869-020-00819-5 Dun Meng , Xu Zhicun , Lifeng Wu , Yingjie Yang
Air Quality, Atmosphere & Health ( IF 5.1 ) Pub Date : 2020-03-26 , DOI: 10.1007/s11869-020-00819-5 Dun Meng , Xu Zhicun , Lifeng Wu , Yingjie Yang
To predict the concentrations of PM 2.5 and PM 10 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 PM 2.5 and PM 10 concentrations from 2019 to 2023. The result is as following: the annual average PM 2.5 concentrations of Xi’an, Xuzhou, Ordos, Jingmen, Meizhou, Huizhou, Panzhihua, Kunming, Jixi, and Yichun are increasing from 2019 to 2023. The annual average PM 2.5 concentrations in the 118 other cities are decreasing from 2019 to 2023. While the annual average PM 10 concentrations of Taiyuan, Ordos, Dongguan, Karamay, Foshan, Yichun, Qitaihe, Jinzhou, and Heihe are increasing from 2019 to 2023, the annual average PM 10 concentrations in the 119 other cities are decreasing from 2019 to 2023.
更新日期：2020-03-26
京公网安备 11010802027423号