Optimal variables for describing the evolution of NO2 concentration

Physics – Data Analysis – Statistics and Probability

Scientific paper

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Scientific paper

By implementing a recent technique for determination of stochastic eigendirections of two coupled stochastic variables, we investigate the evolution of fluctuations of NO2 concentrations at two monitoring stations in the city of Lisbon, Portugal. We analyze the stochastic part of the measurements recorded at the monitoring stations by means of a method where the two concentrations are considered as stochastic variables evolving according to a system of coupled stochastic differential equations. Analysis of their structure allows for transforming the set of measured variables to a set of derived variables, one of them with reduced stochasticity. For the specific case of NO2 concentration measures, the set of derived variables are related to the total amount of NO2 concentration observed in the two stations and the relative concentration between them. Having one variable with reduced stochasticity, we briefly discuss how to increase the predictive power of the measurement series.

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