Application of genetic algorithms for the calibration of an air quality model and its validation using pollutant measures from the surroundings of an electric power plant
Data(s) |
04/05/2016
04/05/2016
2015
|
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Resumo |
<p>[EN]This work presents the calibration and validation of an air quality finite element model applied to emissions from a thermal power plant located in Gran Canaria. The calibration is performed using genetic algorithms. To calibrate and validate the model, the authors use empirical measures of pollutants concentrations from 4 stations located nearby the power plant; an hourly record per station during 3 days is available. Measures from 3 stations will be used to calibrate, while validation will use measures from the remaining station…</p> |
Identificador |
http://hdl.handle.net/10553/16830 722468 |
Idioma(s) |
eng |
Direitos |
Acceso libre by-nc-nd |
Fonte |
<p>Congreso de Métodos Numéricos en Ingeniería. -- Lisboa, Portugal Instituto Superior Técnico. -- June 29 - July 2, 2015</p> |
Palavras-Chave | #1206 Análisis numérico #1204 Geometría #2509 Metereología #250902 Contaminación atmosférica #250908 Micrometeorología #2501 Ciencias de la atmósfera |
Tipo |
info:eu-repo/semantics/conferenceObject |