Air Pollution Transport Modeling

Abstract

This research effort addresses modeling of the transportation of air pollution in the atmosphere and the numerical analysis of the partial differential equations used in such modeling. Three Gaussian models are examined and compared using example problems. Several finite difference schemes are developed to solve the partial differential equations used in air pollution transport modeling. This study examines three Gaussian models: SCREEN, AFTOX, and the program GAUSPLUM. The model GAUSPLUM is developed in this study and uses the Ada programming language and the analytic solution to the advection- diffusion equation. Numerical analysis of the partial differential equations (PDE) used in air pollution modeling is also examined. The equations are generally parabolic or hyperbolic PDE's. The following are examined in this research: the advection equation; the one-, two-, and three-dimensional advection-diffusion equations; and the two-dimensional steady-state equation.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1993
Accession Number
ADA273863

Entities

People

  • David M. Paal

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Pollution
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Difference Equations
  • Differential Equations
  • Diffusion
  • Equations
  • Equations Of State
  • High Level Languages
  • Language
  • Numerical Analysis
  • Operating Systems
  • Partial Differential Equations
  • Programming Languages
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

  • Environmental Engineering.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)