A degenerate reaction–diffusion system modeling atmospheric dispersion of pollutants

The Mathematics of Atmospheric Dispersion Modeling

The Gaussian plume model is a standard approach for studying the transport of airborne contaminants due to turbulent diffusion and advection by the wind. This paper reviews the assumptions underlying the model, its derivation from the advection-diffusion equation, and the key properties of the plume solution. The results are then applied to solving an inverse problem in which emission source ra...

Atmospheric dispersion modeling and health effects of PM2.5 released from automotive industries (case study of Saipa)

Background: Air pollution is one of the most important environmental problems and various industries are sources of air pollutants, especially particulate matter. The purpose of this study is to evaluate the health effects of particulate matter released in the automotive industry. Methods: In this research, after measuring the concentrations with the WESTECH, monthly during 2021, the distributi...

Development of Web-based Environment for Atmospheric Dispersion Modeling

The paper presents a new web interface to the atmospheric dispersion model HARP (HAzardous Radioactivity Propagation) which is a segmented Gaussian plume model certified for the emergency management use in the Czech Republic. Up to now, the model was available only as a desktop application. The new web-based user interface should bring the basic functionality of the model to the web environment...

Modeling Atmospheric Dispersion of Heavier-than-air Clouds Containing Aerosol

Toward a Fully Lagrangian Atmospheric Modeling System

An improved treatment of advection is essential for atmospheric transport and chemistry models. Eulerian treatments are generally plagued with instabilities, unrealistic negative constituent values, diffusion, and dispersion errors. A higher-order Eulerian model improves one error at significant cost but magnifies another error. The cost of semi-Lagrangian models is too high for many applicatio...