Título
Assessment and prediction of air quality using fuzzy logic and autoregressive models
Autor
José Juan Carbajal Hernández
LUIS PASTOR SANCHEZ FERNANDEZ
Jesús Ariel Carrasco Ochoa
José Francisco Martínez Trinidad
Nivel de Acceso
Acceso Abierto
Materias
Artificial intelligence - (ARTIFICIAL INTELLIGENCE) Air quality assessment - (AIR QUALITY ASSESSMENT) Pattern processing - (PATTERN PROCESSING) Prediction - (PREDICTION) CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA - (CTI) MATEMÁTICAS - (CTI) CIENCIA DE LOS ORDENADORES - (CTI) CIENCIA DE LOS ORDENADORES - (CTI)
Resumen o descripción
In recent years, artificial intelligence methods have been used for the treatment of environmental problems. This work, presents two models for assessment and prediction of air quality. First, we develop a new computational model for air quality assessment in order to evaluate toxic compounds that can harm sensitive people in urban areas, affecting their normal activities. In this model we propose to use a Sigma operator to statistically asses air quality parameters using their historical data information and determining their negative impact in air quality based on toxicity limits, frequency average and deviations of toxicological tests. We also introduce a fuzzy inference system to perform parameter classification using a reasoning process and integrating them in an air quality index describing the pollution levels in five stages: excellent, good, regular, bad and danger, respectively. The second model proposed in this work predicts air quality concentrations using an autoregressive model, providing a predicted air quality index based on the fuzzy inference system previously developed. Using data from Mexico City Atmospheric Monitoring System, we perform a comparison among air quality indices developed for environmental agencies and similar models. Our results show that our models are an appropriate tool for assessing site pollution and for providing guidance to improve contingency actions in urban areas.
Editor
Elsevier Ltd.
Fecha de publicación
2012
Tipo de publicación
Artículo
Versión de la publicación
Versión aceptada
Recurso de información
Formato
application/pdf
Idioma
Inglés
Audiencia
Estudiantes
Investigadores
Público en general
Sugerencia de citación
Carbajal-Hernández, J.J., et al., (2012). Assessment and prediction of air quality using fuzzy logic and autoregressive models, Atmospheric Environment, (60): 37-50
Repositorio Orígen
Repositorio Institucional del INAOE
Descargas
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