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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53595#.VMnoJCzQrzE
Author(s)
Sthephany Sedeño-Cisneros1, María Auxilio Osorio-Lama1, Miguel Ángel Valera-Pérez2, René Bernardo Elías Cabrera-Cruz3*
Affiliation(s)
1Faculty of Chemical Engineering Praiseworthy, Autonomous University of Puebla, Puebla, México.
2Institute of Sciences, Praiseworthy Autonomous University of Puebla, Puebla, México.
3Faculty of Engineering “Arturo Narro Siller”, Autonomous University of Tamaulipas, Tampico, México.
2Institute of Sciences, Praiseworthy Autonomous University of Puebla, Puebla, México.
3Faculty of Engineering “Arturo Narro Siller”, Autonomous University of Tamaulipas, Tampico, México.
ABSTRACT
The
results of dispersion modeling of carbon monoxide are reported in this
paper. The results of applying the technique of Rapid Assessment of
Sources of Environmental Pollution (RASEP) database and the Air
Monitoring State System in the City of Puebla, México, were employed.
Concentrations of carbon monoxide emitted by cars inferred by RASAP
technique with those reported by the environmental monitoring station
“Nymphs”, were compared. The date of 21 June 2005-2010 was selected
during the peak hour traffic flow. The dispersion of carbon monoxide was
modeled by software DISPER and SCRI software, in order to infer the
exposure levels of carbon monoxide in the study area. The estimated and
monitored concentrations were evaluated with the Mexican regulations for
population’s health protection. Regarding the dispersion model, SCRI
was discarded for the target validation because it only allows modeling
on specific areas. Moreover, the modeling software allowed DISPER
simulations with linear sources of car exhaust, so this advantage is
considered appropriate to continue using this program. Both estimates
obtained by RASEP, as modeled by DISPER and recorded by the monitoring
system exceed the maximum permissible limits of NOM-021-SSA1-1993
getting an impermissible for the area of influence of the assessment
monitoring station. The DISPER software has potential use for such
evaluations, but more work is required on the system for their
inferences can be validated by reproducible physical and chemical
measurements.
Cite this paper
References
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