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Estimating Aquifer Transmissivity Using the Recession-Curve-Displacement Method in Tanzania's Kilombero Valley
Stockholm University, Faculty of Science, Department of Physical Geography. University of Dar es Salaam, Tanzania; Water Institute, Tanzania.
Stockholm University, Faculty of Science, Department of Physical Geography.
Stockholm University, Faculty of Science, Department of Physical Geography.
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Number of Authors: 52017 (English)In: Water, ISSN 2073-4441, E-ISSN 2073-4441, Vol. 9, no 12, article id 948Article in journal (Refereed) Published
Abstract [en]

Information on aquifer processes and characteristics across scales has long been a cornerstone for understanding water resources. However, point measurements are often limited in extent and representativeness. Techniques that increase the support scale (footprint) of measurements or leverage existing observations in novel ways can thus be useful. In this study, we used a recession-curve-displacement method to estimate regional-scale aquifer transmissivity (T) from streamflow records across the Kilombero Valley of Tanzania. We compare these estimates to local-scale estimates made from pumping tests across the Kilombero Valley. The median T from the pumping tests was 0.18 m(2)/min. This was quite similar to the median T estimated from the recession-curve-displacement method applied during the wet season for the entire basin (0.14 m(2)/min) and for one of the two sub-basins tested (0.16 m(2)/min). On the basis of our findings, there appears to be reasonable potential to inform water resource management and hydrologic model development through streamflow-derived transmissivity estimates, which is promising for data-limited environments facing rapid development, such as the Kilombero Valley.

Place, publisher, year, edition, pages
2017. Vol. 9, no 12, article id 948
Keywords [en]
aquifer transmissivity, streamflow-derived transmissivity, recession-curve-displacement method, recharge event
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-152512DOI: 10.3390/w9120948ISI: 000419225500042OAI: oai:DiVA.org:su-152512DiVA, id: diva2:1180937
Available from: 2018-02-07 Created: 2018-02-07 Last updated: 2018-02-07Bibliographically approved

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