Result: PM and light extinction model performance metrics, goals, and criteria for three-dimensional air quality models

Title:
PM and light extinction model performance metrics, goals, and criteria for three-dimensional air quality models
Authors:
BOYLAN, James W, RUSSELL, Armistead G
Source:
Special Issue on Model Evaluation: Evaluation of Urban and Regional Eulerian Air Quality ModelsAtmospheric environment (1994). 40(26):4946-4959
Publisher Information:
Oxford: Elsevier Science, 2006.
Publication Year:
2006
Physical Description:
print, 1 p.1/4
Original Material:
INIST-CNRS
Subject Terms:
Environment, Environnement, Climatology, meteorology, Climatologie, météorologie, Pollution, Toxicology, Toxicologie, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Pollution, Pollution atmosphérique, Atmospheric pollution, Méthodes d'analyse, Analysis methods, Aérosol, Aerosols, Aerosol, Brume, Haze, Bruma, Erreur systématique, Bias, Error sistemático, Estimation erreur, Error estimation, Estimación error, Modèle 3 dimensions, Three dimensional model, Modelo 3 dimensiones, Performance algorithme, Algorithm performance, Resultado algoritmo, Pollution air, Air pollution, Contaminación aire, Qualité air, Air quality, Calidad aire, Simulation numérique, Numerical simulation, Simulación numérica, Troposphère, Troposphere, Troposfera, Visibilité, Visibility, Visibilidad, Error, Particulate matter, Regional haze
Subject Geographic:
Amérique du Nord, North America, America del norte, Amérique, America, Etats Unis, United States, Estados Unidos
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Georgia Department of Natural Resources, Air Protection Branch, 4244 International Parkway, Suite 120, Atlanta, GA 30354, United States
Department of Civil and Environmental Engineering, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, Georgia 30332-0512, United States
ISSN:
1352-2310
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18043219
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Pollution
Accession Number:
edscal.18043219
Database:
PASCAL Archive

Further Information

In order to use an air quality modeling system with confidence, model performance must be evaluated against observations. While ozone modeling and evaluation is fairly developed, particulate matter (PM) modeling is still an evolving science. EPA has issued minimal guidance on PM and visibility model performance evaluation metrics, goals, and criteria. This paper addresses these issues by examining various bias and error metrics and proposes PM model performance goals (the level of accuracy that is considered to be close to the best a model can be expected to achieve) and criteria (the level of accuracy that is considered to be acceptable for modeling applications) that vary as a function of concentration and extinction. In this paper, it has been proposed that a model performance goal has been met when both the mean fractional error (MFE) and the mean fractional bias (MFB) are less than or equal to +50% and ±30%, respectively. Additionally, the model performance criteria has been met when both the MFE≤ + 75% and MFB ≤ ± 60%. Less abundant species would have less stringent performance goals and criteria. These recommendations are based upon an analysis of numerous PM and visibility modeling studies performed throughout the country.