Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/25295
Title: Use of the Kalman filter to the modeling and Prediction of the annual and monthly Precipitations of the Rainfall Station of Annaba in the North-East of Algeria
Authors: SMAOUN, Mansour
BOUKHAROUBA, Khadidja
KETTAB, Ahmed
Keywords: prediction
Kalman Filter
Precipitation
prediction covariance error
Algeria
Issue Date: 16-Oct-2019
Publisher: Université Kasdi Merbah Ouargla
Abstract: The objective of the present work is the application of the Kalman Filter technique to the modeling and the prediction of precipitation data in Algeria. For this aim, the monthly and annual data of one precipitation stations in the north-east of Algeria have been investigated. The development of the Kalman filter code is done into Matlab language, and the obtained prediction results are as follows : the prediction mean relative error is 1,1422 for monthly scale data and only 0,0854 for the annual scale...
Description: Séminaire International sur l′Hydrogéologie et l′Environnement SIHE 2019 Ouargla
URI: http://dspace.univ-ouargla.dz/jspui/handle/123456789/25295
Appears in Collections:4. Faculté des Hydrocarbures, des Energies Renouvelables, des Sciences de la Terre et de l’Univers

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