Correlation Analysis between Ozone and Other Atmosphere Characteristics

The correlation between ozone and other atmosphere characteristics is important for air pollution analysis. It is complicated to model and analyse. In this paper, a correlation analysis method based on neural network and mean impact value (NN-MIV) is proposed. In NN-MIV correlation analysis method,...

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Main Authors: Y. Ding, G. Liu, X. Guo, C. Mei, P. Yang
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2017-10-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/342
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author Y. Ding
G. Liu
X. Guo
C. Mei
P. Yang
author_facet Y. Ding
G. Liu
X. Guo
C. Mei
P. Yang
author_sort Y. Ding
collection DOAJ
description The correlation between ozone and other atmosphere characteristics is important for air pollution analysis. It is complicated to model and analyse. In this paper, a correlation analysis method based on neural network and mean impact value (NN-MIV) is proposed. In NN-MIV correlation analysis method, the external correlation of key variable (ozone) and auxiliary variables (other atmosphere characteristics) is calculated by MIV and internal correlation is calculated by NN. By this means, stable correlations are obtained. The correlation value shows that ozone is most related to NO2, followed by humidity, PM2.5, temperature and pressure. The correlation result is then analysed and some valuable conclusions are presented. Finally, an NN correlation model (or soft sensing model) of ozone is constructed by the 5 most correlated variables and a good soft sensing result is obtained.
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spelling doaj.art-9510bbac0335492f88509174414e06f22022-12-21T23:08:01ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162017-10-016110.3303/CET1761289Correlation Analysis between Ozone and Other Atmosphere CharacteristicsY. DingG. LiuX. GuoC. MeiP. YangThe correlation between ozone and other atmosphere characteristics is important for air pollution analysis. It is complicated to model and analyse. In this paper, a correlation analysis method based on neural network and mean impact value (NN-MIV) is proposed. In NN-MIV correlation analysis method, the external correlation of key variable (ozone) and auxiliary variables (other atmosphere characteristics) is calculated by MIV and internal correlation is calculated by NN. By this means, stable correlations are obtained. The correlation value shows that ozone is most related to NO2, followed by humidity, PM2.5, temperature and pressure. The correlation result is then analysed and some valuable conclusions are presented. Finally, an NN correlation model (or soft sensing model) of ozone is constructed by the 5 most correlated variables and a good soft sensing result is obtained.https://www.cetjournal.it/index.php/cet/article/view/342
spellingShingle Y. Ding
G. Liu
X. Guo
C. Mei
P. Yang
Correlation Analysis between Ozone and Other Atmosphere Characteristics
Chemical Engineering Transactions
title Correlation Analysis between Ozone and Other Atmosphere Characteristics
title_full Correlation Analysis between Ozone and Other Atmosphere Characteristics
title_fullStr Correlation Analysis between Ozone and Other Atmosphere Characteristics
title_full_unstemmed Correlation Analysis between Ozone and Other Atmosphere Characteristics
title_short Correlation Analysis between Ozone and Other Atmosphere Characteristics
title_sort correlation analysis between ozone and other atmosphere characteristics
url https://www.cetjournal.it/index.php/cet/article/view/342
work_keys_str_mv AT yding correlationanalysisbetweenozoneandotheratmospherecharacteristics
AT gliu correlationanalysisbetweenozoneandotheratmospherecharacteristics
AT xguo correlationanalysisbetweenozoneandotheratmospherecharacteristics
AT cmei correlationanalysisbetweenozoneandotheratmospherecharacteristics
AT pyang correlationanalysisbetweenozoneandotheratmospherecharacteristics