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

Kristian Näschen (Corresponding Author), Bernd Diekkrüger, Constanze Leemhuis, Stefanie Steinbach, Larisa S. Seregina, Frank Thonfeld, Roderick van der Linden

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Abstract

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. Simulations of land use change effects, generated with Landsat images from the 1970s up to 2014, show severe shifts in the water balance components on the subcatchment scale due to anthropogenic activities. Sustainable management of the investigated catchment should therefore account for the catchment–wetland interaction concerning water resources, with a special emphasis on groundwater fluxes to ensure future food production as well as the preservation of the wetland ecosystem.
Original languageEnglish
Article number599
Pages (from-to)1-27
JournalWater
Volume10
Issue number5
DOIs
Publication statusPublished - 4 May 2018
Externally publishedYes

Fingerprint

Tanzania
Wetlands
hydrological modeling
wetland
floodplains
Catchments
floodplain
wetlands
catchment
Water Resources
water
Water resources
water resources
water resource
resources
Ecosystems
Ecosystem
Water
Soil
water yield

Keywords

  • SWAT model
  • hydrological modeling
  • East Africa
  • land use changes
  • water balance
  • wetlands
  • ITC-ISI-JOURNAL-ARTICLE
  • ITC-GOLD

Cite this

Näschen, K., Diekkrüger, B., Leemhuis, C., Steinbach, S., Seregina, L. S., Thonfeld, F., & van der Linden, R. (2018). Hydrological Modeling in Data-Scarce Catchments: The Kilombero Floodplain in Tanzania. Water, 10(5), 1-27. [599]. https://doi.org/10.3390/w10050599
Näschen, Kristian ; Diekkrüger, Bernd ; Leemhuis, Constanze ; Steinbach, Stefanie ; Seregina, Larisa S. ; Thonfeld, Frank ; van der Linden, Roderick. / Hydrological Modeling in Data-Scarce Catchments: The Kilombero Floodplain in Tanzania. In: Water. 2018 ; Vol. 10, No. 5. pp. 1-27.
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abstract = "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. Simulations of land use change effects, generated with Landsat images from the 1970s up to 2014, show severe shifts in the water balance components on the subcatchment scale due to anthropogenic activities. Sustainable management of the investigated catchment should therefore account for the catchment–wetland interaction concerning water resources, with a special emphasis on groundwater fluxes to ensure future food production as well as the preservation of the wetland ecosystem.",
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Näschen, K, Diekkrüger, B, Leemhuis, C, Steinbach, S, Seregina, LS, Thonfeld, F & van der Linden, R 2018, 'Hydrological Modeling in Data-Scarce Catchments: The Kilombero Floodplain in Tanzania' Water, vol. 10, no. 5, 599, pp. 1-27. https://doi.org/10.3390/w10050599

Hydrological Modeling in Data-Scarce Catchments: The Kilombero Floodplain in Tanzania. / Näschen, Kristian (Corresponding Author); Diekkrüger, Bernd; Leemhuis, Constanze; Steinbach, Stefanie ; Seregina, Larisa S.; Thonfeld, Frank; van der Linden, Roderick.

In: Water, Vol. 10, No. 5, 599, 04.05.2018, p. 1-27.

Research output: Contribution to journalArticleAcademicpeer-review

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AB - 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. Simulations of land use change effects, generated with Landsat images from the 1970s up to 2014, show severe shifts in the water balance components on the subcatchment scale due to anthropogenic activities. Sustainable management of the investigated catchment should therefore account for the catchment–wetland interaction concerning water resources, with a special emphasis on groundwater fluxes to ensure future food production as well as the preservation of the wetland ecosystem.

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Näschen K, Diekkrüger B, Leemhuis C, Steinbach S, Seregina LS, Thonfeld F et al. Hydrological Modeling in Data-Scarce Catchments: The Kilombero Floodplain in Tanzania. Water. 2018 May 4;10(5):1-27. 599. https://doi.org/10.3390/w10050599