An Adaptive Grid Algorithm for Air-Quality Modeling
نویسندگان
چکیده
منابع مشابه
An Adaptive Grid Algorithmfor Air-Quality Modeling
A new dynamic adaptive grid algorithm has been developed for use in air-quality modeling. This algorithm uses a higher order numerical scheme—the piecewise parabolic method (PPM)—for computing advective solution fields, a weight function capable of promoting grid node clustering by moving grid nodes, and a conservative interpolation equation using PPM for redistributing the solution field after...
متن کاملAdaptive Grid Use in Air Quality Modeling
The predictions from air quality models are subject to many sources of uncertainty; among them, grid resolution has been viewed as one that is limited by the availability of computational resources. A large grid size can lead to unacceptable errors for many pollutants formed via nonlinear chemical reactions. Further, insufficient grid resolution limits the ability to perform accurate exposure a...
متن کاملEvaluation of algorithms developed for adaptive grid air quality modeling using surface elevation data
An adaptive grid model is being developed to reduce the resolution-related uncertainty in air quality predictions. By clustering the grid nodes in regions where errors in pollutant concentrations would potentially be large, the model is expected to generate much more accurate results than its fixed, uniform grid counterparts. The repositioning of grid nodes is performed automatically using a we...
متن کاملInitial Application of the Adaptive Grid Air Quality Model
Grid size (or resolution), when inadequate, can be an important source of uncertainty for air quality model (AQM) simulations. Coarse grids used because of computational limitations may artificially diffuse the emissions, leading to significant errors in the concentrations of pollutant species, especially those that are formed via non-linear chemical reactions. Further, coarse grids may result ...
متن کاملNested and Adaptive Grids for Multiscale Air Quality Modeling
Our multiscale air quality modeling activities are reviewed. Two different techniques, static grid nesting and dynamic grid adaptions are discussed. The mass conservation and transportive properties of our grid nesting technique are shown in a linear advection problem. Results from an air quality application to the northeastern U.S. are also presented. The solution accuracy with the adaptive gr...
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ژورنال
عنوان ژورنال: Journal of Computational Physics
سال: 2000
ISSN: 0021-9991
DOI: 10.1006/jcph.2000.6620