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Distributed Hydrological Modeling and Sensitivity Analysis in Torysa Watershed, Slovakia

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  • A. Bahremand
  • F. Smedt

Abstract

The spatially distributed hydrologic model WetSpa is applied to the Torysa river basin (1,297 km 2 ) located in Slovakia. Daily hydrometeorological data from 1991 to 2000 are used as input to the model. The spatial characteristic of the basin are described by three base maps, i.e. DEM, landuse and soil type, in GIS form using 100 m cell size. Results of the simulations show a good agreement between calculated and measured hydrographs at the outlet of the basin. The model predicts the daily discharge values with a good accuracy, i.e. about 73% according to the Nash–Sutcliff criterion. Sensitivity analysis of the model parameters is performed using a model-independent parameter estimator, PEST. It is found that the correction factor for calculating the actual evapotranspiration from potential evaporation has the highest relative sensitivity. Parameter K gm which controls the amount of evapotranspiration from the groundwater has the least relative sensitivity. Copyright Springer Science+Business Media, Inc. 2008

Suggested Citation

  • A. Bahremand & F. Smedt, 2008. "Distributed Hydrological Modeling and Sensitivity Analysis in Torysa Watershed, Slovakia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(3), pages 393-408, March.
    • Handle: RePEc:spr:waterr:v:22:y:2008:i:3:p:393-408
    DOI: 10.1007/s11269-007-9168-x
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    Citations

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    Cited by:

    1. Julia Hall & Conor Murphy, 2010. "Vulnerability Analysis of Future Public Water Supply Under Changing Climate Conditions: A Study of the Moy Catchment, Western Ireland," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(13), pages 3527-3545, October.
    2. Vesna Đukić & Zoran Radić, 2016. "Sensitivity Analysis of a Physically Based Distributed Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(5), pages 1669-1684, March.
    3. F. Wang & G. H. Huang & Y. Fan & Y. P. Li, 2020. "Robust Subsampling ANOVA Methods for Sensitivity Analysis of Water Resource and Environmental Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(10), pages 3199-3217, August.
    4. Abdolreza Bahremand & Florimond Smedt, 2010. "Predictive Analysis and Simulation Uncertainty of 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. 24(12), pages 2869-2880, September.
    5. H. Zeinivand & F. Smedt, 2009. "Hydrological Modeling of Snow Accumulation and Melting on River Basin Scale," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(11), pages 2271-2287, September.
    6. Jing Yang & Yongbo Liu & Wanhong Yang & Yaning Chen, 2012. "Multi-Objective Sensitivity Analysis of a Fully Distributed Hydrologic Model WetSpa," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(1), pages 109-128, January.
    7. Vesna Đukić & Zoran Radić, 2016. "Sensitivity Analysis of a Physically Based Distributed Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(5), pages 1669-1684, March.

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