Analytical Solution of the advection diffusion equation using Fourier and square complement methods and comparing with Gaussian model

Two approaches have been used to solve the two-dimensional atmospheric diffusion problem analytically. First, the integration has been solved using the separation of variables, Fourier transform, and square complement methods. Next, the normalized cross-wind integrated concentration of pollutants at the earth's surface with variable eddy diffusivity and wind speed with power in vertical height and downwind distance has been obtained using the Gaussian plume model. creating a Gaussian plume model by using the dispersion parameters of Briggs and Brookhaven National Laboratories. Sulfur Hexafluoride (SF6) tracer data sets from the northern portion of Copenhagen, Denmark, and Iodine-135 data sets under unstable conditions, are used to validate the current and Gaussian models.

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Publication Details

Journal
Technium Romanian Journal of Applied Sciences and Technology
Published
2025-05-30
DOI
https://doi.org/10.47577/technium.v30i.12869
Primary Topic
Hydrological Forecasting Using AI
Type
article
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article

Analytical Solution of the advection diffusion equation using Fourier and square complement methods and comparing with Gaussian model

Khaled S. M. Essa, H. Taha, Esmat M. S Elfeky
Technium Romanian Journal of Applied Sciences and Technology
Hydrological Forecasting Using AI
article

Analytical Solution of the advection diffusion equation using Fourier and square complement methods and comparing with Gaussian model

Khaled S. M. Essa, H. Taha, Esmat M. S Elfeky
article en

Abstract

Two approaches have been used to solve the two-dimensional atmospheric diffusion problem analytically. First, the integration has been solved using the separation of variables, Fourier transform, and square complement methods. Next, the normalized cross-wind integrated concentration of pollutants at the earth's surface with variable eddy diffusivity and wind speed with power in vertical height and downwind distance has been obtained using the Gaussian plume model. creating a Gaussian plume model by using the dispersion parameters of Briggs and Brookhaven National Laboratories. Sulfur Hexafluoride (SF6) tracer data sets from the northern portion of Copenhagen, Denmark, and Iodine-135 data sets under unstable conditions, are used to validate the current and Gaussian models.

Technium Romanian Journal of Applied Sciences and TechnologyVol. 30
Egyptian Atomic Energy Authority (EG), National Water Research Center (EG)
Openalex Percentile: Top 89%
Hydrological Forecasting Using AI
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