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Advancing understanding in data-limited conditions: estimating contributions to streamflow across Tanzania's rapidly developing Kilombero Valley
Stockholm University, Faculty of Science, Department of Physical Geography.
Stockholm University, Faculty of Science, Department of Physical Geography. The Nature Conservancy, USA.
Number of Authors: 22018 (English)In: Hydrological Sciences Journal, ISSN 0262-6667, E-ISSN 2150-3435, Vol. 63, no 2, p. 197-209Article in journal (Refereed) Published
Abstract [en]

Large seasonal variability in precipitation patterns may help overcome data limitations and difficult conditions when characterizing hydrological flow pathways. We used a limited amount of weekly water chemistry as well as stable water isotope data to perform end-member mixing analysis (EMMA) in a generalized likelihood uncertainty estimation (GLUE) framework in a sub-catchment of the Kilombero Valley, Tanzania. While there were considerable uncertainties related to the characterization and mixing of end-members, some robust estimates could be made on contributions to seasonal streamflow variability. For example, there is a low connectivity between the deep groundwater and the stream system throughout the year. Also, a considerable wetting-up period is required before overland flow occurs. Thus, in spite of large uncertainties, our results highlight how improved system understanding of hydrological flows can be obtained even when working in difficult environments.

Place, publisher, year, edition, pages
2018. Vol. 63, no 2, p. 197-209
Keywords [en]
end-member mixing analysis (EMMA), generalized likelihood uncertainty estimation (GLUE), water resources, sustainable development, Kilombero Valley (KV), Tanzania, hydrology
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-153869DOI: 10.1080/02626667.2018.1426857ISI: 000424760700002OAI: oai:DiVA.org:su-153869DiVA, id: diva2:1188556
Available from: 2018-03-07 Created: 2018-03-07 Last updated: 2018-03-07Bibliographically approved

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Koutsouris, Alexander J.Lyon, Steve W.
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