Paper Info
Title
Study On The Influence Of Surrounding Urbanso(2),No2, Andcoon Haze Formation In Beijing Based Onmf-Dccaand Boosting Algorithms
Abstract
The formation of haze depends on the complex evolution behavior of SO2, NO2, and CO. We explore the influence of surrounding urban oxides on haze formation in Beijing. From the perspective of time evolution, multifractal detrended cross-correlation analysis (MF-DCCA) method quantitatively shows that all oxides reveal persistent cross-correlations (h(xy): 0.640 sim; 0.995) in the short term and long term. The correlation characteristics of the same oxide in different regions are compared. In the short term, Zhangjiakou (SO2/NO2) and Tianjin (CO) have the strongest multifractal features, while Zhangjiakou (SO2/NO2/CO) is more prominent in the long term. Their sources are mainly Fat-tailed. Ignoring the characteristics of timing, the fitting degree (R-2) of LightGBM model to PM2.5 concentration regression is 0.862 after the addition of neighboring oxides, an increase of 2.0%. CatBoost'sR(2)improves by 6.4%. The feature importance score indicates that Langfang's SO(2)and Chengde's CO contribute the most to the formation of PM2.5. This study has certain reference value for the formulation of oxide emission strategy in the surrounding area of Beijing.
Year
DOI
Venue
2020
10.1002/cpe.5921
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Keywords
DocType
Volume
Beijing, China, boosting algorithm, MF-DCCA, oxides, PM2, 5
Journal
32
Issue
ISSN
Citations 
24
1532-0626
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Xinxin Zhang100.34
Leilei Gu200.34
Chen Hong32111.66
Guozhu Jia4192.84