globalchange  > 气候变化与战略
DOI: 10.1007/s11069-021-04504-3
论文题名:
Bayesian network reasoning and machine learning with multiple data features: air pollution risk monitoring and early warning
作者: Xie X.; Zuo J.; Xie B.; Dooling T.A.; Mohanarajah S.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
卷: 107, 期:3
起始页码: 2555
结束页码: 2572
语种: 英语
中文关键词: Air pollution risk ; AQI prediction ; Bayesian network ; Machine learning ; Statistical analysis
英文关键词: accuracy assessment ; algorithm ; artificial neural network ; atmospheric pollution ; Bayesian analysis ; comparative study ; early warning system ; machine learning ; pollution monitoring ; probability ; risk assessment ; China
英文摘要: From a macro-perspective, based on machine learning and data-driven approach, this paper utilizes multi-featured data from 31 provinces and regions in China to build a Bayesian network (BN) analysis model for predicting air quality index and warning the air pollution risk at the city level. Further, a two-layer BN for analyzing influencing factors of various air pollutants is developed. Subsequently, the model is applied to forecast the trends of temporal and spatial changes in the form of probabilistic inference and to investigate the degree of impact incurred from individual influencing factors. From the comparisons with the results obtained from other machine learning approaches and algorithms such as neural networks, it is concluded that by comprehensively using the established BN, one can not only reach a monitoring and early warning accuracy rate of 90% but also scrutinize and diagnose the main cause of air pollution risk changes from the perspective of probability. © 2021, The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature.
Citation statistics:
被引频次[WOS]:2   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/169474
Appears in Collections:气候变化与战略

Files in This Item:

There are no files associated with this item.


作者单位: College of Mathematics and Statistics, Hunan University of Technology and Business, Changsha, 410205, China; Institute of Big Data and Internet Innovation, Hunan University of Technology and Business, Changsha, 410205, China; Key Laboratory of Hunan Province for Statistical Learning and Intelligent Computation, Hunan University of Technology and Business, Changsha, 410205, China; Department of Chemistry and Physics, University of North Carolina At Pembroke, Pembroke, NC 28372, United States; Department of Mathematics and Computer Science, University of North Carolina At Pembroke, Pembroke, NC 28372, United States

Recommended Citation:
Xie X.,Zuo J.,Xie B.,et al. Bayesian network reasoning and machine learning with multiple data features: air pollution risk monitoring and early warning[J]. Natural Hazards,2021-01-01,107(3)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Xie X.]'s Articles
[Zuo J.]'s Articles
[Xie B.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Xie X.]'s Articles
[Zuo J.]'s Articles
[Xie B.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Xie X.]‘s Articles
[Zuo J.]‘s Articles
[Xie B.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.