Title :
A combined hard and soft computing approach for ground-level ozone monitoring
Author :
Zolghadri, A. ; Henry, D.
Author_Institution :
LAPS, Universite Bordeaux I, Talence, France
Abstract :
The paper deals with the development of a public warning system for ground-level ozone monitoring in Bordeaux, France. Meteorological variables are used as input in order to obtain an estimate of the next day´s maximum ozone concentration as well as a measure of its temporal extent. The proposed approach combines adaptive nonlinear state-space modelling techniques, a gain scheduling strategy and multi-layer perceptron neural networks.
Keywords :
adaptive systems; air pollution measurement; geophysics computing; meteorology; monitoring; multilayer perceptrons; nonlinear systems; oxygen; state-space methods; Bordeaux; France; adaptive nonlinear state-space modelling techniques; gain scheduling strategy; ground-level ozone monitoring; hard computing; maximum ozone concentration; meteorological variables; multi-layer perceptron neural networks; public warning system; soft computing; temporal extent; Air pollution; Alarm systems; Atmospheric measurements; Cities and towns; Meteorology; Monitoring; Photochemistry; Pollution measurement; Sea measurements; Urban areas;
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8566-7
DOI :
10.1109/ICSMC.2004.1401121
