Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/16830
Title: 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
Authors: Oliver, Albert 
Rodríguez, Eduardo 
Ramírez Naranjo, Jabel Alejandro 
UNESCO Clasification: 1206 Análisis numérico
1204 Geometría
2509 Metereología
250902 Contaminación atmosférica
250908 Micrometeorología, et al
Keywords: Finite element method
Air quality
Genetic algorithms
Calibration
Validation, et al
Issue Date: 2015
Abstract: 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
Source: Congreso de Métodos Numéricos en Ingeniería. -- Lisboa, Portugal Instituto Superior Técnico. -- June 29 - July 2, 2015
Rights: by-nc-nd
Appears in Collections:Actas de congresos
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