NDLI: Statistical detection of abnormal ozone measurements based on Constrained Generalized Likelihood Ratio test

Content Provider	IEEE Xplore Digital Library
Author	Harrou, F. Fillatre, L. Bobbia, M. Nikiforov, I.
Copyright Year	2013
Description	Author affiliation: Chem. Eng. Program, Texas A&M Univ. at Qatar, Doha, Qatar (Harrou, F.) \|\| Air Normand, Rouen, France (Bobbia, M.) \|\| I3S Lab., Univ. of Nice Sophia-Antipolis, Sophia Anäpolis, France (Fillatre, L.) \|\| ICD/LM2S, Univ. of Technol. of Troyes, Troyes, France (Nikiforov, I.)
Abstract	Monitoring ozone concentrations is an essential requirement due to the adverse environmental and health effects of abnormal ozone pollution. The objective of this paper is twofold: first, to model ground level ozone concentrations, and second, to detect abnormal ozone measurements. Towards this end, a multidimensional Seasonal AutoRegressive Moving Average with eXogenous variable (SARMAX) model has been developed to describe ground level ozone concentrations. The database used to fit the models consists of two data sets collected from Upper Normandy region, France, via the network of air quality monitoring stations. A good description of the ambient ozone pollution may be a tool for facilitating detection of abnormalities in ozone measurements. The overarching goal of this paper is to detect abnormal pollution measurements caused by air pollution anomalies or malfunctioning sensors in the framework of regional ozone surveillance network. The proposed Constrained Generalized Likelihood Ratio (CGLR) anomaly detection scheme is successfully applied to collected data. The detection results of the proposed method are compared to that declared by Air Normand air monitoring association.
Sponsorship	IEEE Control Syst. Soc.
Starting Page	4997
Ending Page	5002
File Size	1937906
Page Count	6
File Format	PDF
ISBN	9781467357142
ISSN	07431546
e-ISBN	9781467357173
DOI	10.1109/CDC.2013.6760673
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-10
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Monitoring Gases Atmospheric measurements Pollution measurement Atmospheric modeling Air pollution Computational modeling
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

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