Numerical dispersion models for emission monitoring by spectroscopic remote sensing methods

Stefan M. Emeis

doi:10.1117/12.274714

22 May 1997 Numerical dispersion models for emission monitoring by spectroscopic remote sensing methods

Stefan M. Emeis

Proceedings Volume 3106, Spectroscopic Atmospheric Monitoring Techniques; (1997) https://doi.org/10.1117/12.274714
Event: Environmental Sensing III, 1997, Munich, Germany

Abstract

Remote sensing techniques have been developed to measure concentrations of atmospheric pollutants in the vicinity of diffuse pollution sources. In order to derive emission rates from these measurements numerical dispersion models have to be used. Three main types of dispersion models are currently available: Gaussian dispersion models, Eulerian models, and Lagrangian models. Gaussian models base on an analytical solution of the diffusion equation which describes the horizontal and vertical mean and turbulent transport of airborne matter from a source. Eulerian models require the definition of a grid in the volume of interest. At these grid points the budget equations for mass, momentum, heat, moisture, and pollutants will be solved numerically. Lagrangian models do not need a predescribed grid.Here the budge equations will be solved for particles or very small atmospheric volumes moving with the mean wind. For the application of Lagrangian models the wind field must be known a priori from measurements or from model simulations. Advantages, disadvantages, and application of these models is discussed in this paper.

Citation Download Citation

Stefan M. Emeis "Numerical dispersion models for emission monitoring by spectroscopic remote sensing methods", Proc. SPIE 3106, Spectroscopic Atmospheric Monitoring Techniques, (22 May 1997); https://doi.org/10.1117/12.274714

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available