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Hydrological Modeling in Data-Scarce Catchments: The Kilombero Floodplain in Tanzania

Näschen, Kristian; Diekkrüger, Bernd; Leemhuis, Constanze; Steinbach, Stefanie; Seregina, Larisa 1; Thonfeld, Frank; Linden, Roderick van der 1
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)


Deterioration of upland soils, demographic growth, and climate change all lead to an increased utilization of wetlands in East Africa. This considerable pressure on wetland resources results in trade-offs between those resources and their related ecosystem services. Furthermore, relationships between catchment attributes and available wetland water resources are one of the key drivers that might lead to wetland degradation. To investigate the impacts of these developments on catchment-wetland water resources, the Soil and Water Assessment Tool (SWAT) was applied to the Kilombero Catchment in Tanzania, which is like many other East African catchments, as it is characterized by overall data scarcity. Due to the lack of recent discharge data, the model was calibrated for the period from 1958–1965 (R2 = 0.86, NSE = 0.85, KGE = 0.93) and validated from 1966–1970 (R2 = 0.80, NSE = 0.80, KGE = 0.89) with the sequential uncertainty fitting algorithm (SUFI-2) on a daily resolution. Results show the dependency of the wetland on baseflow contribution from the enclosing catchment, especially in dry season. Main contributions with regard to overall water yield arise from the northern mountains and the southeastern highlands, which are characterized by steep slopes and a high share of forest and savanna vegetation, respectively. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000082675
Veröffentlicht am 09.05.2018
DOI: 10.3390/w10050599
Zitationen: 37
Web of Science
Zitationen: 36
Zitationen: 37
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Forschungsbereich Troposphäre (IMK-TRO)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2018
Sprache Englisch
Identifikator ISSN: 2073-4441
KITopen-ID: 1000082675
HGF-Programm 12.01.02 (POF III, LK 01) Proc.res.f.multisc.predictab.of weather
Erschienen in Water
Verlag MDPI
Band 10
Heft 5
Seiten Article Number 599
Vorab online veröffentlicht am 04.05.2018
Schlagwörter SWAT model; hydrological modeling; East Africa; land use changes; water balance; wetlands
Nachgewiesen in Dimensions
Web of Science
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