DocumentCode
2018279
Title
Prediction of NO concentrations in the atmosphere of an urban area with heavy traffic
Author
Perez, Patricio ; Trier, Alex
Author_Institution
Dept. de Fisica, Santiago de Chile Univ., Spain
Volume
1
fYear
1999
fDate
1999
Firstpage
386
Abstract
By analyzing NO concentrations in the atmosphere recorded hourly for six months at a point close to an avenue with heavy traffic in the city of Santiago, we show that the combination of prevalent information of this pollutant and meteorological variables may be used as input for a perceptron in order to predict NO concentrations several hours in advance
Keywords
air pollution; data analysis; environmental science computing; forecasting theory; geophysics computing; meteorology; nitrogen compounds; perceptrons; road traffic; NO; NO concentration prediction; Santiago, Chile; atmospheric pollution; avenue; heavy traffic; meteorological variables; perceptron; urban area; Air pollution; Atmosphere; Cities and towns; Meteorology; Neural networks; Predictive models; Temperature; Urban areas; Vehicles; Wind forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-5871-6
Type
conf
DOI
10.1109/ICONIP.1999.844019
Filename
844019
Link To Document