This paper is published in Volume-4, Issue-3, 2018
Area
Air Pollution
Author
Kulshresth Singh
Org/Univ
Indian Institute of Engineering Science and Technology, Shibpur, West Bengal, India
Pub. Date
21 May, 2018
Paper ID
V4I3-1522
Publisher
Keywords
Air Pollutant dispersion model, Gaussian dispersion model, Point source, and Plume dispersion.

Citationsacebook

IEEE
Kulshresth Singh. Air pollution modelling, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Kulshresth Singh (2018). Air pollution modelling. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.

MLA
Kulshresth Singh. "Air pollution modelling." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.

Abstract

Industrial chimney releases pollutant to the environment which causes air pollution. As an air pollutant is transported from a source to a potential receptor the pollutant disperses into the surrounding air so that it arrives at a much lower concentration than it was on leaving the source. Air pollution modeling helps to determine the mathematical relationship between the effects of source emission of pollutant on ground level concentration. Many dispersion models have been developed and used to estimate the downwind ambient concentration of air pollutants from sources such as industrial plants, vehicular traffic or accidental chemical release. Air Pollution emission plume i.e., the flow of pollutant in the form of smoke released into the air. Throughout many dispersion models, Gaussian Dispersion Models perhaps the oldest (circa 1936) and perhaps the most commonly used model type. The primary algorithm used in Gaussian modeling is the Generalized Dispersion Equation for a continuous point source plume. This paper reviews the air pollution modeling which relates the effects of source emission on ground level concentration by mathematical equations and terminology.