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Water Balance Modeling in a Semi-Arid Environment with Limited in situ Data Using Remote Sensing in Lake Manyara, East African Rift, Tanzania

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dc.contributor.author Deus, D.
dc.contributor.author Gloaguen, R.
dc.contributor.author Krause, P.
dc.date.accessioned 2013-10-10T12:48:41Z
dc.date.available 2013-10-10T12:48:41Z
dc.date.issued 2013
dc.identifier.issn 2072-4292
dc.identifier.other doi:10.3390/rs5041651
dc.identifier.uri http://www.taccire.sua.ac.tz/handle/123456789/196
dc.description.abstract The purpose of this paper is to estimate the water balance in a semi-arid environment with limited in situ data using a remote sensing approach. We focus on the Lake Manyara catchment, located within the East African Rift of northern Tanzania. We use a distributed conceptual hydrological model driven by remote sensing data to study the spatial and temporal variability of water balance parameters within the catchment. Satellite gravimetry GRACE data is used to verify the trends of the inferred lake level changes. The results show that the lake undergoes high spatial and temporal variations, characteristic of a semi-arid climate with high evaporation and low rainfall. We observe that the Lake Manyara water balance and GRACE equivalent water depth show comparable trends; a decrease after 2002 followed by a sharp increase in 2006–2007. Our modeling confirms the importance of the 2006–2007 Indian Ocean Dipole fluctuation in replenishing the groundwater reservoirs of East Africa. We thus demonstrate that water balance modeling can be performed successfully using remote sensing data even in complex climatic settings. Despite the small size of Lake Manyara, GRACE data showed great potential for hydrological research on smaller un-gauged lakes and catchments in similar semi-arid environments worldwide. The water balance information can be used for further analysis of lake variations in relation to soil erosion, climate and land cover/land use change as well as different lake management and conservation scenarios. en_GB
dc.description.sponsorship German Academic Exchange Service (DAAD) en_GB
dc.language.iso en en_GB
dc.publisher MDPI, Basel, Switzerland en_GB
dc.relation.ispartofseries Remote Sensing;5, 1651-1680
dc.subject semi-arid en_GB
dc.subject water balance en_GB
dc.subject remote sensing en_GB
dc.subject rainfall en_GB
dc.subject GRACE en_GB
dc.subject Tanzania en_GB
dc.subject evaporation en_GB
dc.subject climate variability en_GB
dc.subject modeling en_GB
dc.subject climate trends en_GB
dc.subject catchments en_GB
dc.title Water Balance Modeling in a Semi-Arid Environment with Limited in situ Data Using Remote Sensing in Lake Manyara, East African Rift, Tanzania en_GB
dc.type Article en_GB

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