Annual, seasonal, and morning rush hour Land Use Regression models for black carbon in a school catchment area of Milan, Italy.

08:00 EDT 3rd June 2019 | BioPortfolio

Summary of "Annual, seasonal, and morning rush hour Land Use Regression models for black carbon in a school catchment area of Milan, Italy."

The European Environment Agency has identified Northern Italy as one of the most polluted areas in Europe. Among air contaminants, black carbon (BC) has been identified as a sensitive marker of traffic related air pollution. This study aims to investigate the spatial distribution of BC in the catchment area of an elementary school of Milan, the biggest city in Northern Italy, using Land Use Regression (LUR) models and focusing especially on Morning Rush Hour (MRH).


Journal Details

This article was published in the following journal.

Name: Environmental research
ISSN: 1096-0953
Pages: 108520


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