Coupled models using radar network database to assess vehicular emissions in current and future scenarios.

The Science of the Total Environment
Janaina Antonino PintoTaciana Toledo de Almeida Albuquerque

Abstract

Vehicles are one of the most significant sources of air pollutant emissions in urban areas, and their real contribution always needs to be updated to predict impacts on air quality. Radar databases and traffic counts using statistical modeling is an alternative and low-cost approach to produce traffic activities data in each urban street to be used as input to predict vehicular emissions. In this work, we carried out a spatial statistical analysis of local radar data and calculated traffic flow using local radar data combined with different statistical models. Future scenarios about vehicle emission inventory to define public policies were also proposed and analyzed for Belo Horizonte (BH), a Brazilian State capital, with the third-largest metropolitan region in the country. The Normal-Neighborhood Model (i.e., the mixed effect model with random effect in the neighborhood, radar type, and in the regional area) was used to calculate traffic flow in each urban street. Results showed average reductions in CO (4.5%), NMHC (3.0%), NOx (3.0%) and PM2.5 (6.2%) emissions even with an increase in fleet composition (25% in average). The decrease is a result of the implementation of emission control programs by the government, improvement...Continue Reading

References

Mar 13, 2012·Air Quality, Atmosphere, & Health·Maria de Fatima AndradePaulo Saldiva
Mar 19, 2013·The Science of the Total Environment·Kai Zhang, Stuart Batterman
Aug 26, 2016·Environmental Science. Processes & Impacts·Prashant Kumar, Anju Goel
Sep 19, 2016·The Science of the Total Environment·Ye WuSvetlana Stevanovic
Apr 12, 2019·The Science of the Total Environment·Yee Ka WongJian Zhen Yu

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