Modeling the short-term effect of traffic on air pollution in Torino with generalized additive models
AbstractVehicular traffic typically plays an important role in atmospheric pollution. This is especially true in urban areas, where high pollutant concentrations are often observed. In this paper, we consider hourly measures of concentrations of nitrogen oxides (NO, NO2 and NOx), carbon oxide (CO) and particulate matter (PM), collected at the stations distributed throughout the city of Turin. To help explain the short-term behavior of the concentrations of these pollutants, we propose using generalized additive models (GAM), focusing in particular on traffic along with the meteorological predictors. All the data are collected during the period from December 2003 to April 2005.
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Bibliographic InfoPaper provided by ICER - International Centre for Economic Research in its series ICER Working Papers with number 10-2009.
Length: 26 pages
Date of creation: Jun 2009
Date of revision:
urban area; air quality; vehicular traffic; CO; NO2; NOx; NO; PM; generalized additive models;
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This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-07-03 (All new papers)
- NEP-ENV-2009-07-03 (Environmental Economics)
- NEP-URE-2009-07-03 (Urban & Real Estate Economics)
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