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The use of random forests in modelling short-term air pollution effects based on traffic and meteorological conditions: A case study in Wrocław.

Random forests, an advanced data mining method, are used here to model the regression relationships between concentrations of the pollutants NO 2 , NO x and PM 2.5 , and nine variables describing meteorological conditions, temporal conditions and traffic flow. The study was based on hourly values of...

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Published in:Journal of Environmental Management Vol. 217; pp. 164 - 175
Main Author: Kamińska, Joanna A.
Format: Article
Published: Academic Press Inc. Jul2018
Subjects:
Random forest algorithms
Air pollutants
Humidity
Nitrogen oxides
Air traffic
Online Access:View this record in EBSCOhost