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Entropy 2015, 17(5), 2749-2763; doi:10.3390/e17052749

Detection of Changes in Ground-Level Ozone Concentrations via Entropy

Department Mathematics and Statistics, York University, 4700 Keele Street, Toronto, Ontario M3J 1P3, Canada
Department Statistics and Finance, University of Science and Technology of China, Hefei, Anhui, China
Air Quality Research Division, Science and Technology Branch, Environment Canada, Toronto, Ontario, M3H 5T4, Canada
Author to whom correspondence should be addressed.
Academic Editor: Kevin H. Knuth
Received: 4 March 2015 / Revised: 30 March 2015 / Accepted: 28 April 2015 / Published: 30 April 2015
(This article belongs to the Special Issue Entropy and Space-Time Analysis in Environment and Health)
View Full-Text   |   Download PDF [2195 KB, uploaded 30 April 2015]   |  


Ground-level ozone concentration is a key indicator of air quality. Theremay exist sudden changes in ozone concentration data over a long time horizon, which may be caused by the implementation of government regulations and policies, such as establishing exhaust emission limits for on-road vehicles. To monitor and assess the efficacy of these policies, we propose a methodology for detecting changes in ground-level ozone concentrations, which consists of three major steps: data transformation, simultaneous autoregressive modelling and change-point detection on the estimated entropy. To show the effectiveness of the proposed methodology, the methodology is applied to detect changes in ground-level ozone concentration data collected in the Toronto region of Canada between June and September for the years from 1988 to 2009. The proposed methodology is also applicable to other climate data. View Full-Text
Keywords: change-point detection; Box–Cox transformation; entropy; ozone concentration; spatial dependence; simultaneous autoregressive modelling change-point detection; Box–Cox transformation; entropy; ozone concentration; spatial dependence; simultaneous autoregressive modelling

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wu, Y.; Jin, B.; Chan, E. Detection of Changes in Ground-Level Ozone Concentrations via Entropy. Entropy 2015, 17, 2749-2763.

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