A 3D CNN-based Approach To Integrate The Air Pollution Diffusion Equation
Author(s)
G. Nunnari
Abstract
A 3D CNN-based approach to integrate the air
pollution diffusion equation
' G. Nunnari
I Dkartimento di Ingegneria Elettrica, Elettronica e dei Sistemi,
University of Catamia, Italy
Abstract
This paper deals with integration of the PDE equation which describes the air
pollutant dispersion process, based on the use of an array of Cellular Neural
Networks. In particular the template expressions, needed to program these
analog devices in the case of multiple point sources with a constant rate of
emission and a turbulent diffusivity tensor independent from the spatial
coordinates are given. The 3D integration scheme studied has been provisorily
implemented by using an ad-hoc software package that is briefly described in the
paper. The advantages deriving from the use of the proposed integration scheme
are also outlined.
1 Introduction
It is known that the numerical solution of partial differential equations, such as
the Navier-Stokes equation considered in fluid dynamics, requires powerful
compu
Keywords
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