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Comparison of the Lumped and Quasi-distributed Clark Runoff Models in Simulating Flood Hydrographs on a Semi-arid Watershed

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  • Saeed Ghavidelfar
  • Sayed Alvankar
  • Arash Razmkhah

Abstract

In applied hydrology, predicting peak flow for a stream or river is so complex due to temporal and spatial dependency of hydrological variables such as meteorological parameters, variations in soil type and land use. Either advanced distributed hydrological models or simple Lump models can be used for simulating these situations. This paper compares the performance of the quasi-distributed model ModClark versus lumped parameter model Clark in simulating the process of transformation of rainfall to runoff. The aim of this comparison is to identify whether using a complex model which takes into account spatial and temporal distribution parameters, which are hard to prepare and use, will lead to more precise results or not. For the purpose of this study, historical data of Randan basin situated in semi-arid region of Iran in North West of Tehran was used. The size of the catchment is 67.76 km 2 . Reviewing the results of calibration and accuracy of models revealed that both models are able to simulate the hydrology of the catchment in an acceptable way. Copyright Springer Science+Business Media B.V. 2011

Suggested Citation

  • Saeed Ghavidelfar & Sayed Alvankar & Arash Razmkhah, 2011. "Comparison of the Lumped and Quasi-distributed Clark Runoff Models in Simulating Flood Hydrographs on a Semi-arid Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(6), pages 1775-1790, April.
    • Handle: RePEc:spr:waterr:v:25:y:2011:i:6:p:1775-1790
    DOI: 10.1007/s11269-011-9774-5
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    Citations

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    Cited by:

    1. Amrie Singh & David Dawson & Mark Trigg & Nigel Wright, 2021. "A review of modelling methodologies for flood source area (FSA) identification," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(2), pages 1047-1068, June.
    2. D. A. Sabӑu & Gh. Şerban & P. Breţcan & D. Dunea & D. Petrea & I. Rus & D. Tanislav, 2023. "Combining radar quantitative precipitation estimates (QPEs) with distributed hydrological model for controlling transit of flash-flood upstream of crowded human habitats in Romania," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 1209-1238, March.
    3. Ali Suliman & Milad Jajarmizadeh & Sobri Harun & Intan Mat Darus, 2015. "Comparison of Semi-Distributed, GIS-Based Hydrological Models for the Prediction of Streamflow in a Large Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3095-3110, July.
    4. Yaoze Liu & Sisi Li & Carlington W. Wallace & Indrajeet Chaubey & Dennis C. Flanagan & Lawrence O. Theller & Bernard A. Engel, 2017. "Comparison of Computer Models for Estimating Hydrology and Water Quality in an Agricultural Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(11), pages 3641-3665, September.
    5. Jan Niel & E. Uytven & P. Willems, 2019. "Uncertainty Analysis of Climate Change Impact on River Flow Extremes Based on a Large Multi-Model Ensemble," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(12), pages 4319-4333, September.

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