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

Título:	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
Autores/as:	Oliver, Albert Rodríguez, Eduardo Ramírez Naranjo, Jabel Alejandro
Clasificación UNESCO:	1206 Análisis numérico 1204 Geometría 2509 Metereología 250902 Contaminación atmosférica 250908 Micrometeorología, et al.
Palabras clave:	Finite element method Air quality Genetic algorithms Calibration Validation, et al.
Fecha de publicación:	2015
Resumen:	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…
URI:	http://hdl.handle.net/10553/16830
Fuente:	Congreso de Métodos Numéricos en Ingeniería. -- Lisboa, Portugal Instituto Superior Técnico. -- June 29 - July 2, 2015
Derechos:	by-nc-nd
Colección:	Actas de congresos

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