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In urban environments, the measured levels of ozone are the result of the interaction between emissions of precursors (VOCs and NOx mainly) and meteorological effects. In this work, time series of daily values of ozone measured at three locations in Bilbao (Spain) have been built. Then, after removing meteorological effects, ozone and traffic data have been analyzed jointly. The goal was to identify traffic situations and link them to ozone levels in the area of Bilbao. Analysis of these long-term fractions of ozone has made possible the identification of two long-term traffic targets for the whole area, associated with different profiles of ozone forming capability. The first one favours low ozone forming capability, and is associated with a situation of fluent traffic. The second one shows high ozone forming capability and represents congestion.
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Ibarra‐Berastegi et al. (2004) studied this question.
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