%0 Journal Article
	%A Hicham Gourgue and  Ahmed Aharoune and  Ahmed Ihlal
	%D 2016
	%J International Journal of Mathematical and Computational Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 112, 2016
	%T Estimation of the Road Traffic Emissions and Dispersion in the Developing Countries Conditions
	%U https://publications.waset.org/pdf/10004164
	%V 112
	%X We present in this work our model of road traffic
emissions (line sources) and dispersion of these emissions, named
DISPOLSPEM (Dispersion of Poly Sources and Pollutants Emission
Model). In its emission part, this model was designed to keep the
consistent bottom-up and top-down approaches. It also allows to
generate emission inventories from reduced input parameters being
adapted to existing conditions in Morocco and in the other developing
countries. While several simplifications are made, all the performance
of the model results are kept. A further important advantage of
the model is that it allows the uncertainty calculation and emission
rate uncertainty according to each of the input parameters. In the
dispersion part of the model, an improved line source model has
been developed, implemented and tested against a reference solution.
It provides improvement in accuracy over previous formulas of line
source Gaussian plume model, without being too demanding in terms
of computational resources. In the case study presented here, the
biggest errors were associated with the ends of line source sections;
these errors will be canceled by adjacent sections of line sources
during the simulation of a road network. In cases where the wind
is parallel to the source line, the use of the combination discretized
source and analytical line source formulas minimizes remarkably the
error. Because this combination is applied only for a small number
of wind directions, it should not excessively increase the calculation
	%P 171 - 178