DSpace
 
  Repositório Institucional da Universidade de Aveiro > Departamento de Ambiente e Ordenamento > DAO - Artigos >
 Procedures for estimation of modelling uncertainty in air quality assessment
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/8518

title: Procedures for estimation of modelling uncertainty in air quality assessment
authors: Borrego, C.
Monteiro, A.
Ferreira, J.
Miranda, A. I.
Costa, A. M.
Carvalho, A. C.
Lopes, M.
keywords: Air quality
Modelling
Quality indicators
Uncertainty
issue date: Jul-2008
publisher: Elsevier
abstract: The main objectives of this work focus, firstly, on a review of the current existent methodologies to estimate air quality modelling uncertainty, and, secondly, in the preparation of guidelines for modelling uncertainty estimation, which can be used by local and regional authorities responsible for air quality management. From the application exercise, it was concluded that it is possible to define a subset of statistical parameters able to reproduce the general uncertainties estimation. Concerning the quality indicators defined by EU directives, the results show that the legislated uncertainty estimation measures are ambiguous and inadequate in several aspects, mainly in what concerns the error measures for hourly and daily indicators based on the highest observed concentration. A relative error at the percentile correspondent to the allowed number of exceedances of the limit value was suggested and tested, showing that is a more robust and appropriate parameter for model performance evaluation.
URI: http://hdl.handle.net/10773/8518
ISSN: 0160-4120
publisher version/DOI: http://dx.doi.org/10.1016/j.envint.2007.12.005
source: Environment International
appears in collectionsDAO - Artigos

files in this item

file description sizeformat
Procedures for estimation of modelling uncertainty in air quality assessment.pdfdoc. Principal200.38 kBAdobe PDFview/open
Restrict Access. You can Request a copy!
statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! RCAAP OpenAIRE DeGóis
ria-repositorio@ua.pt - Copyright ©   Universidade de Aveiro - RIA Statistics - Powered by MIT's DSpace software, Version 1.6.2