A LCR analysis model for the influence of meteorological conditions on AQI level
Wu, Jiadong; Cheng, Jianjun; Zhang, Long; Chen, Mei; Pan, Lina; Chen, XY(陈晓云)
收录类别EI
2014-11-15
发表期刊Journal of Computational Information Systems
卷号10期号:22页码:9839-9848
出版者Binary Information Press
出版地Bethel
摘要Air quality is closely related to people's health. As an aspect of urban computing, air quality prediction is an important issue in air pollutants control and reduction. In this paper, we impose a Latent Class Regression model to analyse the correlation between Air Quality Index level and meteorological conditions in different times. The experiments show reasonable analysis results by using our method.
关键词Air pollutants Air quality indices Air quality prediction Analysis models Latent class Meteorological condition Regression model Urban computing
作者部门(1) School of Information Science and Engineering, Lanzhou University, Lanzhou , China
学科领域Air Pollution Control ; Quality Assurance And Control ; Mathematical Statistics
DOI10.12733/jcis13128
ISSN1553-9105
文章类型Article
语种英语
EI记录号20150300436114
IR记录号20150300436114
第一机构
Citation statistics
文献类型期刊论文
条目标识符http://ir.lzu.edu.cn/handle/262010/128228
Collection信息科学与工程学院
通讯作者Chen, Xiaoyun
Recommended Citation:
GB/T 7714
Wu, Jiadong,Cheng, Jianjun,Zhang, Long,et al. A LCR analysis model for the influence of meteorological conditions on AQI level[J]. Journal of Computational Information Systems,2014,10(22):9839-9848.
APA Wu, Jiadong,Cheng, Jianjun,Zhang, Long,Chen, Mei,Pan, Lina,&Chen, Xiaoyun.(2014).A LCR analysis model for the influence of meteorological conditions on AQI level.Journal of Computational Information Systems,10(22),9839-9848.
MLA Wu, Jiadong,et al."A LCR analysis model for the influence of meteorological conditions on AQI level".Journal of Computational Information Systems 10.22(2014):9839-9848.
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