Developing a methodology to predict PM10 concentrations in urban areas using generalized linear models

Environmental Technology
J M GarciaM G Carvalho

Abstract

A methodology to predict PM10 concentrations in urban outdoor environments is developed based on the generalized linear models (GLMs). The methodology is based on the relationship developed between atmospheric concentrations of air pollutants (i.e. CO, NO2, NOx, VOCs, SO2) and meteorological variables (i.e. ambient temperature, relative humidity (RH) and wind speed) for a city (Barreiro) of Portugal. The model uses air pollution and meteorological data from the Portuguese monitoring air quality station networks. The developed GLM considers PM10 concentrations as a dependent variable, and both the gaseous pollutants and meteorological variables as explanatory independent variables. A logarithmic link function was considered with a Poisson probability distribution. Particular attention was given to cases with air temperatures both below and above 25°C. The best performance for modelled results against the measured data was achieved for the model with values of air temperature above 25°C compared with the model considering all ranges of air temperatures and with the model considering only temperature below 25°C. The model was also tested with similar data from another Portuguese city, Oporto, and results found to behave similarly....Continue Reading

References

Dec 9, 2000·Journal of the Air & Waste Management Association·W G CobournM C Hubbard
May 23, 2002·International Journal of Hygiene and Environmental Health·Jacqueline Moya, Linda Phillips
Jan 24, 2006·Scandinavian Journal of Work, Environment & Health·Tage S KristensenVilhelm Borg
Jun 5, 2012·Chemical Society Reviews·Mathew R HealRoy M Harrison
Feb 8, 2014·Environment International·Prashant KumarRex Britter

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Citations

May 19, 2020·Environmental Science and Pollution Research International·Zhili ZhaoRuisheng Zhang
Jul 8, 2017·International Journal of Environmental Research and Public Health·Alejandro Ivan Aguirre-SaladoCarlos Soubervielle-Montalvo
Nov 23, 2018·The Science of the Total Environment·Zhigen ShangXiaohui Duan

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Software Mentioned

Statistical Package software for Social Sciences ( SPSS

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