Prediction of PM2.5 Concentrations using Fuzzy Inductive Reasoning in Mexico City

Àngela Nebot, Francisco Mugica

Abstract

The research presented in this paper is focused on the study and development of fuzzy inductive reasoning models that allow the forecasting of daily particulate matter with diameter of 2.5 micrometres or less (PM2.5). FIR offers a model-based approach to modelling and predicting either univariate or multivariate time series. In this research, predictions of PM2.5 concentration at hour 12 of the next day, in the downtown of Mexico City Metropolitan Area, are performed. The data were registered every hour and include missing values. In this work the hourly modelling perspective is analyzed. The results are compared with the ones obtained using persistence models showing that the FIR models are able to predict PM2.5 concentrations more accurately than persistence models.

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Paper Citation


in Harvard Style

Nebot À. and Mugica F. (2012). Prediction of PM2.5 Concentrations using Fuzzy Inductive Reasoning in Mexico City . In Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: MSCCEC, (SIMULTECH 2012) ISBN 978-989-8565-20-4, pages 527-533. DOI: 10.5220/0004165705270533


in Bibtex Style

@conference{msccec12,
author={Àngela Nebot and Francisco Mugica},
title={Prediction of PM2.5 Concentrations using Fuzzy Inductive Reasoning in Mexico City},
booktitle={Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: MSCCEC, (SIMULTECH 2012)},
year={2012},
pages={527-533},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004165705270533},
isbn={978-989-8565-20-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: MSCCEC, (SIMULTECH 2012)
TI - Prediction of PM2.5 Concentrations using Fuzzy Inductive Reasoning in Mexico City
SN - 978-989-8565-20-4
AU - Nebot À.
AU - Mugica F.
PY - 2012
SP - 527
EP - 533
DO - 10.5220/0004165705270533