WIT Press


Multiple Linear Regression Modelling For Short-term Real-time Prediction Of Hourly Ozone, NO] And NO Levels In The Area Of Bilbao

Price

Free (open access)

Paper DOI

10.2495/ENV000011

Volume

41

Pages

10

Published

2000

Size

1,262 kb

Author(s)

G. Ibarra, A. Elias, M.V. Albizu & E. Agirre

Abstract

Multiple linear regression modelling for short- term real-time prediction of hourly ozone, NO] and NO levels in the area of Bilbao G. Ibarra', A. Elias\ M.V. AlbW & E. Agirre* * Fluid Mechanics Department. University of the Basque Country. Bilbao. Spain. ^Environmental Engineering Department. University of the Basque Country. Bilbao. Spain. ^Environmental Department. Basque Government. Bilbao. Spain. ^Applied Mathematics Department. University of the Basque Country. Bilbao. Spain. Abstract The objective of this paper is to show that by means of simple statistical Multiple Linear Regression (MLR) models, an air pollution and meteorological network, initially designed for diagnosis purposes, can be used to forecast up to eight hours ahead hourly levels of Og, NO], NO. The network can be used as a prognostic tool at a given location ifOg, NO], NO and meteorological parameters are measured jointly. The performance of the models was determined by comparison of hourly

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