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Hydrologic Modelling of Data Scarce Basin with SWAT Model: Capabilities and Limitations

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  • Martine Nyeko

Abstract

Hydrologic modelling is pre-requisite to water resources management. Unfortunately, hydrologic modelling in data scare basin has always been difficult. The current study, explored the use of “data limited” model Soil Water Assessment Tool (SWAT) in modelling lower Aswa basin located in northern Uganda. The study adopted different techniques in generating and estimating various missing model parameters and input especially solar radiation, saturated soil hydraulic conductivity, available soil water content, Universal Soil Lost Equation erodibility factor and moist soil albedo. Soil Water Assessment Tool model was then manually calibrated using monthly historical streamflow records. The calibration was successful with coefficient of determination (R 2 ) value of 0.618 and the Nash and Sutcliffe efficiency value of 0.47. Validation of the calibrated model using independent dataset shows even better model performance with Nash and Sutcliffe efficiency value of 0.64 and coefficient of determination (R 2 ) value of 0.56. Successful calibration of hydrologic model Soil Water Assessment Tool under the data scarcity still proves the potential of the application of the model even in data limited basin, but more especially by water resources managers who needs understanding of existing condition and modelling possible future. Copyright Springer Science+Business Media Dordrecht 2015

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  • Martine Nyeko, 2015. "Hydrologic Modelling of Data Scarce Basin with SWAT Model: Capabilities and Limitations," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(1), pages 81-94, January.
    • Handle: RePEc:spr:waterr:v:29:y:2015:i:1:p:81-94
    DOI: 10.1007/s11269-014-0828-3
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    5. Milad Jajarmizadeh & Lariyah Mohd Sidek & Majid Mirzai & Sina Alaghmand & Sobri Harun & Mohammad Rafee Majid, 2016. "Prediction of Surface Flow by Forcing of Climate Forecast System Reanalysis Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(8), pages 2627-2640, June.
    6. Juliana Mendes & Rodrigo Maia, 2016. "Hydrologic Modelling Calibration for Operational Flood Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(15), pages 5671-5685, December.
    7. Nina Noreika & Julie Winterová & Tailin Li & Josef Krása & Tomáš Dostál, 2021. "The Small Water Cycle in the Czech Landscape: How Has It Been Affected by Land Management Changes Over Time?," Sustainability, MDPI, vol. 13(24), pages 1-16, December.
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    9. Chong Wei & Xiaohua Dong & Yaoming Ma & Wenyi Zhao & Dan Yu & Muhammad Tayyab & Huijuan Bo, 2022. "Impacts of Land Use Types, Soil Properties, and Topography on Baseflow Recharge and Prediction in an Agricultural Watershed," Land, MDPI, vol. 12(1), pages 1-20, December.

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