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• W2007218944 abstract "This study focuses on correlations between total number concentrations, road traffic emissions and noise levels in an urban area in the southwest of Spain during the winter and summer of 2009. The high temporal correlation between sound pressure levels, traffic intensity, particle number concentrations related to traffic, black carbon and NO x concentrations suggests that noise is linked to traffic emissions as a main source of pollution in urban areas. First, the association of these different variables was studied using PreFuRGe, a computational tool based on data mining and fuzzy logic. The results showed a clear association between noise levels and road-traffic intensity for non-extremely high wind speed levels. This behaviour points, therefore, to vehicular emissions being the main source of urban noise. An analysis for estimating the total number concentration from noise levels is also proposed in the study. The high linearity observed between particle number concentrations linked to traffic and noise levels with road traffic intensity can be used to calculate traffic related particle number concentrations experimentally. At low wind speeds, there are increases in noise levels of 1 dB for every 100 vehicles in circulation. This is equivalent to 2000 cm − 3 per vehicle in winter and 500 cm − 3 in summer. At high wind speeds, wind speed could be taken into account. This methodology allows low cost sensors to be used as a proxy for total number concentration monitoring in urban air quality networks. • We focused on correlations of total number concentrations (TNC), traffic and noise. • We apply a fuzzy logic and data mining computer tool. • We proposed a means of estimating TNC from noise levels. • Low cost sensors could be used as proxy for TNC monitoring in an air quality network. • Air quality managers could decrease TNC by limiting the number of vehicles." @default.
• W2007218944 created "2016-06-24" @default.
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• W2007218944 date "2015-04-01" @default.
• W2007218944 modified "2023-09-27" @default.
• W2007218944 title "Assessment of ultrafine particles and noise measurements using fuzzy logic and data mining techniques" @default.
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• W2007218944 doi "https://doi.org/10.1016/j.scitotenv.2015.01.036" @default.
• W2007218944 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25616226" @default.
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