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Evaluation of three unit hydrograph models to predict the surface runoff from a Canadian watershed

Author

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  • A. Sarangi
  • C. Madramootoo
  • P. Enright
  • S. Prasher

Abstract

The predictability of unit hydrograph (UH) models that are based on the concepts of land morphology and isochrones to generate direct runoff hydrograph (DRH) were evaluated in this paper. The intention of this study was to evaluate the models for accurate runoff prediction from ungauged watershed using the ArcGIS ® tool. Three models such as exponential distributed geomorphologic instantaneous unit hydrograph (ED-GIUH) model, GIUH based Clark model, and spatially distributed unit hydrograph (SDUH) model, were used to generate the DRHs for the St. Esprit watershed, Quebec, Canada. Predictability of these models was evaluated by comparing the generated DRHs versus the observed DRH at the watershed outlet. The model input data, including natural drainage network and Horton's morphological parameters (e.g. isochrone and instantaneous unit hydrograph), were prepared using a watershed morphological estimation tool (WMET) on ArcGIS ® platform. The isochrone feature class was generated in ArcGIS ® using the time of concentration concepts for overland and channel flow and the instantaneous unit hydrograph was generated using the Clark's reservoir routing and S-hydrograph methods. An accounting procedure was used to estimate UH and DRHs from rainfall events of the watershed. The variable slope method and phi-index method were used for base flow separation and rainfall excess estimation, respectively. It was revealed that the ED-GIUH models performed better for prediction of DRHs for short duration (≤6 h) storm events more accurately (prediction error as low as 4.6–22.8%) for the study watershed, than the GIUH and SDUH models. Thus, facilitated by using ArcGIS ® , the ED-GIUH model could be used as a potential tool to predict DRHs for ungauged watersheds that have similar geomorphology as that of the St. Esprit watershed. Copyright Springer Science + Business Media B.V. 2007

Suggested Citation

  • A. Sarangi & C. Madramootoo & P. Enright & S. Prasher, 2007. "Evaluation of three unit hydrograph models to predict the surface runoff from a Canadian watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(7), pages 1127-1143, July.
    • Handle: RePEc:spr:waterr:v:21:y:2007:i:7:p:1127-1143
    DOI: 10.1007/s11269-006-9072-9
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    References listed on IDEAS

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    1. Vikrant Jain & R. Sinha, 2003. "Derivation of Unit Hydrograph from GIUH Analysis for a Himalayan River," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 17(5), pages 355-376, October.
    2. S. Jain & R. Singh & S. Seth, 2000. "Design Flood Estimation Using GIS Supported GIUHApproach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 14(5), pages 369-376, October.
    3. Rakesh Kumar & C. Chatterjee & A. Lohani & Sanjay Kumar & R. Singh, 2002. "Sensitivity Analysis of the GIUH based Clark Model for a Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 16(4), pages 263-278, August.
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    1. Emna Ellouze-Gargouri & Zoubeida Bargaoui, 2012. "Runoff Estimation for an Ungauged Catchment Using Geomorphological Instantaneous Unit Hydrograph (GIUH) and Copulas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(6), pages 1615-1638, April.
    2. 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.
    3. Chang-Shian Chen & Frederick Chou & Boris Chen, 2010. "Spatial Information-Based Back-Propagation Neural Network Modeling for Outflow Estimation of Ungauged Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 4175-4197, November.

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