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