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Parameter Estimation in Rainfall-Watertable Relationship Using Kalman Filter

This article is published by Global Institute for Research and Education2013 and is also available at Global https://www.researchgate.net/publication/278016283

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Main Authors: Owusu-Ansah, Emmanuel, Ofori, E., Kyei-Baffour, N., Dontwi, I. K., Atta-Darkwa, T.
Format: Article
Language:English
Published: Global Institute for Research and Education 2024
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access_status_str Open Access
author Owusu-Ansah, Emmanuel
Ofori, E.,
Kyei-Baffour, N.,
Dontwi, I. K.
Atta-Darkwa, T.
author_browse Atta-Darkwa, T.
Dontwi, I. K.
Kyei-Baffour, N.,
Ofori, E.,
Owusu-Ansah, Emmanuel
author_facet Owusu-Ansah, Emmanuel
Ofori, E.,
Kyei-Baffour, N.,
Dontwi, I. K.
Atta-Darkwa, T.
author_sort Owusu-Ansah, Emmanuel
collection Thesis
description This article is published by Global Institute for Research and Education2013 and is also available at Global https://www.researchgate.net/publication/278016283
format Article
id oai:ir.knust.edu.gh:123456789/16022
institution KNUST (Ghana)
language English
last_indexed 2026-07-01T04:01:45.990Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana)
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher Global Institute for Research and Education
publisherStr Global Institute for Research and Education
record_format dspace
source_str KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana)
spelling oai:ir.knust.edu.gh:123456789/16022 Parameter Estimation in Rainfall-Watertable Relationship Using Kalman Filter Owusu-Ansah, Emmanuel Ofori, E., Kyei-Baffour, N., Dontwi, I. K. Atta-Darkwa, T. This article is published by Global Institute for Research and Education2013 and is also available at Global https://www.researchgate.net/publication/278016283 Employing a proper groundwater recharge estimation technique is extremely important for efficient water resource development in a groundwater basin. This paper describes the estimation of groundwater recharge in the Besease basin using the linear Kalman filter mathematical model. The physical model estimated the watertable levels and subsequently derived the infiltration parameters from rainfall inputs and groundwater levels data. The Kalman Filter method used as a recharge estimate resulted in a fit between the simulated hydraulic head and observed sub-surface water level fluctuation. The results show that the infiltration parameter varied considerably over the period of time when it was assumed as time dependent with the recharge values ranging between 0.0-1.27 % for P4 and 0.0-16.5 % for P14 of the incident rainfall. A very high infiltration factor α was obtained when considerable rain fell during June 2009, October 2009 and in June and July, 2010. However, during the periods from December 2009 to April 2010, the infiltration factor was zero which suggested that infiltrated water could not reach the water table but was retained in the unsaturated zone to replenish moisture deficit. Therefore, efficient application of irrigation water, knowledge about the moisture regime and the cropping pattern in the basin is fundamental for ensuring optimal moisture content and watertable level management. KNUST 2024-12-04T10:23:23Z 2024-12-04T10:23:23Z 2013-01 Article G.J. E.D.T., Vol. 2(1) 2013:86-95 ISSN 2319 – 7293 86 https://www.researchgate.net/publication/278016283 https://ir.knust.edu.gh/handle/123456789/16022 en application/pdf Global Institute for Research and Education
spellingShingle Owusu-Ansah, Emmanuel
Ofori, E.,
Kyei-Baffour, N.,
Dontwi, I. K.
Atta-Darkwa, T.
Parameter Estimation in Rainfall-Watertable Relationship Using Kalman Filter
title Parameter Estimation in Rainfall-Watertable Relationship Using Kalman Filter
title_full Parameter Estimation in Rainfall-Watertable Relationship Using Kalman Filter
title_fullStr Parameter Estimation in Rainfall-Watertable Relationship Using Kalman Filter
title_full_unstemmed Parameter Estimation in Rainfall-Watertable Relationship Using Kalman Filter
title_short Parameter Estimation in Rainfall-Watertable Relationship Using Kalman Filter
title_sort parameter estimation in rainfall watertable relationship using kalman filter
url https://www.researchgate.net/publication/278016283
https://ir.knust.edu.gh/handle/123456789/16022
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