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Assessment of Spatial and Temporal Soil Water Storage Using a Distributed Hydrological Model

Author

Listed:
  • Nayara P. V. Andrade

    (Universidade Federal de Lavras)

  • Marcelo R. Viola

    (Universidade Federal de Lavras)

  • Samuel Beskow

    (Universidade Federal de Pelotas)

  • Tamara L. Caldeira

    (Universidade Federal de Pelotas)

  • Li Guo

    (Sichuan University)

  • Carlos R. Mello

    (Universidade Federal de Lavras)

Abstract

Hydrological models are the main tools for water resources management. The Lavras Simulation of Hydrology (LASH) model was developed for watersheds with scarce data, and great results have been obtained in Brazil. This study aimed to incorporate hydrological response units (HRUs) in the LASH model to assess soil water storage (SWS) across space and time. The LASH model was calibrated and validated for the Grande River basin upstream of the Furnas Hydropower Plant, in southeastern Brazil. The Nash-Sutcliff coefficient (CNS) and its logarithmic version were analyzed in terms of both calibration and validation to appraise the model’s performance in a daily time step. The CNS for calibration and validation was 0.86 and 0.77, respectively, showing that LASH using the HRUs produced improvements in the simulations. The calibrated parameters showed a good relationship with hydrological processes in HRUs, and SWS estimates reflected the soils, topography, and land use of the watershed. LASH could describe the SWS behavior and identify the sub-watersheds with the highest and the lowest values. Therefore, the LASH model is a promising tool for SWS simulation in time and space.

Suggested Citation

  • Nayara P. V. Andrade & Marcelo R. Viola & Samuel Beskow & Tamara L. Caldeira & Li Guo & Carlos R. Mello, 2020. "Assessment of Spatial and Temporal Soil Water Storage Using a Distributed Hydrological Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(15), pages 5031-5046, December.
    • Handle: RePEc:spr:waterr:v:34:y:2020:i:15:d:10.1007_s11269-020-02711-4
    DOI: 10.1007/s11269-020-02711-4
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    References listed on IDEAS

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    1. de Oliveira Bueno, Eduardo & Alves, Geovane J. & Mello, Carlos R., 2020. "Hydroelectricity water footprint in Parana Hydrograph Region, Brazil," Renewable Energy, Elsevier, vol. 162(C), pages 596-612.
    2. S. Mishra & Vijay Singh & J. Sansalone & V. Aravamuthan, 2003. "A Modified SCS-CN Method: Characterization and Testing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 17(1), pages 37-68, February.
    3. Samuel Beskow & Lloyd Norton & Carlos Mello, 2013. "Hydrological Prediction in a Tropical Watershed Dominated by Oxisols Using a Distributed Hydrological Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(2), pages 341-363, January.
    4. Lu Zhuo & Dawei Han & Qiang Dai & Tanvir Islam & Prashant Srivastava, 2015. "Appraisal of NLDAS-2 Multi-Model Simulated Soil Moistures for Hydrological Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3503-3517, August.
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    Cited by:

    1. Zandra A. Cunha & Carlos R. Mello & Samuel Beskow & Marcelle M. Vargas & Jorge A. Guzman & Maíra M. Moura, 2023. "A Modeling Approach for Analyzing the Hydrological Impacts of the Agribusiness Land-Use Scenarios in an Amazon Basin," Land, MDPI, vol. 12(7), pages 1-20, July.
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