Answer: The CALINE4 Model along with Geographic Information System were utilized for
the current study to forecast CO concentrations and formulate thematic
maps pertaining to the study area.
CALINE4 is an advanced model aimed at predicting carbon
monoxide concentration impacts adjacent to roads. The California Department of
Transportation (CALTRANS) developed this model with the objective of aiding
planners in mitigating public health risks resulting from carbon monoxide exposure.
The model's predictions, combined with GIS-based analysis, assist in establishing
air shed levels of CO. CALINE4 operates as a straightforward line source
Gaussian plume dispersion model. Users can define the geometry of the proposed roadways, adverse meteorological conditions, projected traffic volumes
and receptor locations to estimate pollutant concentrations.
With a graphical user interface, CALINE4 aims to
facilitate data entry and enhance online help functionalities. Originally designed to predict concentrations of largely inert pollutants such
as carbon monoxide, it is also applicable for numerous other pollutants like NO2
and SPM. This model relies on a finely tuned Gaussian diffusion equation and utilizes the mixing zone concept to delineate pollutant dispersion across
roadways. By integrating emission concentrations, meteorological details, and site layout, the model allows for pollutant concentration predictions across various experiments.
Explanation:
