EventsThe 4th International Electronic Conference on Atmospheric Sciences
Published
with-doi10.3390/ecas2021-10355 (registering DOI)
This submission belongs to the session S7. Atmospheric Techniques, Instrumentation, and Modelling of the event The 4th International Electronic Conference on Atmospheric Sciences
Published date
22 Jun, 2021
Academic Editor
author-avatarAnthony Lupo
Citation
Saisantosh Vamshi Harsha Madiraju, Ashok Kumar, Development of an Analytical Line Source Dispersion Model to Predict Ground Level Concentration for Particulate Matter (PM) in Different Particle Size Ranges, in Proceedings of The 4th International Electronic Conference on Atmospheric Sciences, 16 July–31 July 2021, MDPI: Basel, Switzerland, doi: 10.3390/ecas2021-10355
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Development of an Analytical Line Source Dispersion Model to Predict Ground Level Concentration for Particulate Matter (PM) in Different Particle Size Ranges

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1. The University of Toledo
Abstract

Particulate matter (PM) is released from mobile sources depending on the type of fossil fuel used in combustion. Long-term exposure to PM can affect both lungs and heart. According to the USEPA, PM exposure can cause a variety of problems like premature deaths, nonfatal heart attacks, irregular heartbeat, asthma, reduced lung function, and respiratory issues. Therefore, it is necessary to predict the downwind concentrations near highways for regulatory work. The current study concentrates on developing an analytical line source dispersion model for particulate matter in different particle size ranges. Available line source models do not consider explicitly different ranges of particle size present in the exhaust. The present study discusses the development of a dispersion model to predict downwind concentrations of PM by incorporating a range of particle sizes. The deposition of particles is also considered during development. Emission rate, wind speed, wind direction, atmospheric turbulence, and dry deposition velocity of the particles are the model inputs. The sensitivity of the model is determined by varying the independent input variables.

Keywords
Line Source Model
Dispersion
Particulate Matter
Particle size
Dry deposition
Sensitivity Analysis
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