EventsThe 3rd International Electronic Conference on Atmospheric Sciences
Published
This submission belongs to the session S7. Atmospheric Techniques, Instruments, and Modeling of the event The 3rd International Electronic Conference on Atmospheric Sciences
Published date
14 Nov, 2020
Citation
Ashok Kumar, Saisantosh Vamshi Harsha Madiraju, Development of a Line Source Dispersion Model for Gaseous Pollutants by Incorporating Wind Shear near the Ground under Stable Atmospheric Conditions, in Proceedings of The 3rd International Electronic Conference on Atmospheric Sciences, 16 November–30 November 2020, MDPI: Basel, Switzerland, doi: 10.3390/ecas2020-08154
Share
Email
Facebook
Twitter
LinkedIn

Development of a Line Source Dispersion Model for Gaseous Pollutants by Incorporating Wind Shear near the Ground under Stable Atmospheric Conditions

image
image
1. Department of Civil and Environmental Engineering, The University of Toledo
2. The University of Toledo, Dept. of Civil and Environmental Engineering, United States Minor Outlying Islands
Abstract

Transportation sources are a major contributor to air pollution in urban areas. The role of air quality modelling is vital in the formulation of air pollution control and management strategies. Many models have appeared in the literature to estimate near-field ground level concentrations from mobile sources moving on a highway. However, current models do not account explicitly for the effect of wind shear (magnitude) near the ground while computing the ground level concentrations near highways from mobile sources. This study presents an analytical model based on the solution of the convective-diffusion equation by incorporating the wind shear near the ground for gaseous pollutants. The model input includes emission rate, wind speed, wind direction, turbulence, and terrain features. The dispersion coefficients are based on the near field parameterization. The sensitivity of the model to compute ground level concentrations for different inputs is presented for three different downwind distances. In general, the model shows Type III sensitivity (i.e. the errors in the input will show a corresponding change in the computed ground level concentrations) for most of the input variables. However, the model equations should be re-examined for three input variables (wind velocity at the reference height and two variables related to the vertical spread of the plume) to make sure that that the model is valid for computing ground level concentrations.

Keywords
Line Source
Gaseous Pollutants
Wind shear
Manuscript
Oral Presentation
Poster
sciforum-035167_PPT.pdf
The causal relationship between agricultural practices, climate change and greenhouse gas recovery
Multifractal detrended fluctuation analysis of relative humidity over Greece