Assessment of
particulate matters from vehicular emission using operational street pollution model
at Panjrapole, Ahmedabad (India)
Patel Bina Birenkumar and Patel Sonali D.
Res. J. Chem. Environ; Vol. 27(8); 66-75;
doi: https://doi.org/10.25303/2708rjce066075; (2023)
Abstract
Indian cities are evolving at an ever-increasing rate in terms of economy and infrastructure
facilities. Subsequently, the transportation systems have also become robust in
addition to become a basic necessity for urban landscapes. This has unraveled numerous
problems relating to regional air quality due to increased traffic volumes, especially
where the street is not wide enough and is encompassed by buildings creating a canyon
effect. This study has been conducted on an identified street (i.e. Panjrapole)
of Ahmedabad to assess the vehicular air pollutants i.e. PM10 and PM2.5 using operational
street pollution model (OSPM). To run as well as to validate the model for identified
street, primary data like traffic volume count and street configuration along with
secondary data which includes meteorologica conditions and background pollution
data from reference grade ambient air quality measuring locations deployed by municipal
authority, has been analyzed for the month of December.
OSPM study indicates excess prediction in concentrations of PM10 and PM2.5 by 2%
and 3% respectively as compared to the actual air pollutant concentrations during
the study period. However, this can be a useful tool to achieve reliable vehicular
air pollutants data using input data only and the same will be useful for decision
making authorities including town planners, environmental engineers, urban designers
etc. to mitigate and prevent the air pollution.
