Modeling Ambient Carbon Monoxide Pollutant Due to Road Traffic
Rapid urbanization, industrialization and population
growth have led to an increase in number of automobiles that cause
air pollution. It is estimated that road traffic contributes 60% of air
pollution in urban areas. A case by case assessment is required to
predict the air quality in urban situations, so as to evolve certain
traffic management measures to maintain the air quality levels with
in the tolerable limits. Calicut city in the state of Kerala, India has
been chosen as the study area. Carbon Monoxide (CO) concentration
was monitored at 15 links in Calicut city and air quality performance
was evaluated over each link. The CO pollutant concentration values
were compared with the National Ambient Air Quality Standards
(NAAQS), and the CO values were predicted by using CALINE4 and
IITLS and Linear regression models. The study has revealed that
linear regression model performs better than the CALINE4 and
IITLS models. The possible association between CO pollutant
concentration and traffic parameters like traffic flow, type of vehicle,
and traffic stream speed was also evaluated.
[1] Ditty R, (1995), ÔÇÿÔÇÿEvaluation of Ambient Air Quality Levels due to road
Traffic in Calicut City--, unpublished M. Tech thesis, Department of
Civil Engineering, Regional Engineering College, Calicut.
[2] Goyal, P. and Rama Krishan, T.V.B.P.S. (1999), "A line source model
for Delhi" Transportation Research Part D, Vol.14, No.4, pp 241-249.
[3] Hitoshi Kono , Shozo Ito, 1990, ÔÇÿ A Micro scale Dispersion for Motor
Vehicle Exhaust Gas in Urban Areas-, Journal of Atmospheric
Environment , Vol 24 B , No.2, pp 243- 251.
[4] Liping Xia and Yapang Shao (2005), ÔÇÿModeling of Traffic Flow and Air
Pollution Emission with application to Hong Kong Island-, Journal of
Environmental Modeling and Software 20, pp 1175-1188.
[5] Mrinal K. Ghose, R. Paul, S.K. Banerjee (2004), ÔÇÿAssessments of
Impacts of vehicular Emissions on urban air quality and its Management
in Indian context-, Journal of Enviroenment Science and Policy, 7, pp
345-351.
[6] Nagendra, S.M.S. and Khare, M. (2002), "Line source emission
modeling" Atmospheric Environment, No.36, pp 2083-2098.
[7] Potogolu, D. and Kanarogolu, P.S. (2004), "CO emissions from
passenger vehicles" Canada CSPA.
[8] Shin-ichi O Komato, Keizo Kobayachi (1990), ÔÇÿComparative Study on
Estimation Methods for NOx Emissions for a Roadway, Journal of
Atmospheric Environment-, Vol 24 A, No.6, pp 1535- 1544.
[9] Venkatram, A. and Horst, T.w. (2005), "Approximating dispersion from
a finite line source" Atmospheric Environment, No.40, pp 2401-2408.
[10] Yu Meng , Debbie A. Neimmer, (1998), ÔÇÿ Project Level Carbon
Monoxide Hot- spot Analysis for Level of Service D Intersections-,
Transportation Research Record No. 1641, pp 73-80.
[1] Ditty R, (1995), ÔÇÿÔÇÿEvaluation of Ambient Air Quality Levels due to road
Traffic in Calicut City--, unpublished M. Tech thesis, Department of
Civil Engineering, Regional Engineering College, Calicut.
[2] Goyal, P. and Rama Krishan, T.V.B.P.S. (1999), "A line source model
for Delhi" Transportation Research Part D, Vol.14, No.4, pp 241-249.
[3] Hitoshi Kono , Shozo Ito, 1990, ÔÇÿ A Micro scale Dispersion for Motor
Vehicle Exhaust Gas in Urban Areas-, Journal of Atmospheric
Environment , Vol 24 B , No.2, pp 243- 251.
[4] Liping Xia and Yapang Shao (2005), ÔÇÿModeling of Traffic Flow and Air
Pollution Emission with application to Hong Kong Island-, Journal of
Environmental Modeling and Software 20, pp 1175-1188.
[5] Mrinal K. Ghose, R. Paul, S.K. Banerjee (2004), ÔÇÿAssessments of
Impacts of vehicular Emissions on urban air quality and its Management
in Indian context-, Journal of Enviroenment Science and Policy, 7, pp
345-351.
[6] Nagendra, S.M.S. and Khare, M. (2002), "Line source emission
modeling" Atmospheric Environment, No.36, pp 2083-2098.
[7] Potogolu, D. and Kanarogolu, P.S. (2004), "CO emissions from
passenger vehicles" Canada CSPA.
[8] Shin-ichi O Komato, Keizo Kobayachi (1990), ÔÇÿComparative Study on
Estimation Methods for NOx Emissions for a Roadway, Journal of
Atmospheric Environment-, Vol 24 A, No.6, pp 1535- 1544.
[9] Venkatram, A. and Horst, T.w. (2005), "Approximating dispersion from
a finite line source" Atmospheric Environment, No.40, pp 2401-2408.
[10] Yu Meng , Debbie A. Neimmer, (1998), ÔÇÿ Project Level Carbon
Monoxide Hot- spot Analysis for Level of Service D Intersections-,
Transportation Research Record No. 1641, pp 73-80.
@article{"International Journal of Earth, Energy and Environmental Sciences:49770", author = "Anjaneyulu M.V.L.R. and Harikrishna M. and Chenchuobulu S.", title = "Modeling Ambient Carbon Monoxide Pollutant Due to Road Traffic", abstract = "Rapid urbanization, industrialization and population
growth have led to an increase in number of automobiles that cause
air pollution. It is estimated that road traffic contributes 60% of air
pollution in urban areas. A case by case assessment is required to
predict the air quality in urban situations, so as to evolve certain
traffic management measures to maintain the air quality levels with
in the tolerable limits. Calicut city in the state of Kerala, India has
been chosen as the study area. Carbon Monoxide (CO) concentration
was monitored at 15 links in Calicut city and air quality performance
was evaluated over each link. The CO pollutant concentration values
were compared with the National Ambient Air Quality Standards
(NAAQS), and the CO values were predicted by using CALINE4 and
IITLS and Linear regression models. The study has revealed that
linear regression model performs better than the CALINE4 and
IITLS models. The possible association between CO pollutant
concentration and traffic parameters like traffic flow, type of vehicle,
and traffic stream speed was also evaluated.", keywords = "CO pollution, Modelling, Traffic stream parameters.", volume = "2", number = "5", pages = "37-4", }