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

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DC Field	Value	Language
dc.contributor.author	SMAOUN, Mansour	-
dc.contributor.author	BOUKHAROUBA, Khadidja	-
dc.contributor.author	KETTAB, Ahmed	-
dc.date.accessioned	2021-03-31T18:45:54Z	-
dc.date.available	2021-03-31T18:45:54Z	-
dc.date.issued	2019-10-16	-
dc.identifier.uri	http://dspace.univ-ouargla.dz/jspui/handle/123456789/25295	-
dc.description	Séminaire International sur l′Hydrogéologie et l′Environnement SIHE 2019 Ouargla	en_US
dc.description.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...	en_US
dc.publisher	Université Kasdi Merbah Ouargla	en_US
dc.subject	prediction	-
dc.subject	Kalman Filter	-
dc.subject	Precipitation	-
dc.subject	prediction covariance error	-
dc.subject	Algeria	-
dc.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	en_US
dc.type	Article	en_US
Appears in Collections:	4. Faculté des Hydrocarbures, des Energies Renouvelables, des Sciences de la Terre et de l’Univers

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