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A 3D CNN-based approach to integrate the air pollution diffusion equation

机译:基于3D CNN的方法,用于整合空气污染扩散方程

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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.
机译:本文根据使用蜂窝神经网络阵列的使用,涉及描述空气污染物分散过程的PDE方程的集成。特别地,在给出具有恒定发射率的多个点源的情况下,所需的模板表达式,并且给出了独立于空间坐标的湍流漫射张量。研究的3D集成方案通过使用本文简要描述的ad-hoc软件包来实现。还概述了所提出的集成方案的优点。

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