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 km2. 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.
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Abu El-Nasr A, Arnold JG, Feyen J, Berlamont J (2005) Modelling the hydrology of a catchment using a distributed and a semi-distributed model. Hydrol Process 19:573–587
Ajami NK, Gupta H, Wagener T, Sorooshian S (2004) Calibration of a semi-distributed hydrologic model for streamflow estimation along a river system. J Hydrol 298(1–4):112–135
Alvankar SR, Saghafian B, Sedghi H (2006) Effect of pixel size of a hydrologic model on simulation of flood peak. Journal of Agricultural Sciences Islamic Azad University (published in Iran)
ASTER (2009) http://asterweb.jpl.nasa.gov/ (Jul.1, 2009)
Clark CO (1945) Storage and the unit hydrograph. ASCE Trans 110:1419–1446
Dodson & Associates (1992) Hands on HEC-1. Technical Rep. No. 88, Dodson & Associates, Houston, Texas
HEC (2000) Hydrologic engineering center HEC-HMS technical reference manual. US Army Corps of Engineers, Davis
HEC (2006) Hydrologic engineering center HEC-DSSVue user’s manual. US Army Corps of Engineers, Davis
HEC (2008) Hydrologic engineering center HEC-HMS user’s manual. US Army Corps of Engineers, Davis
Khakbaz B, Imam B, Hsu K, Sorooshian S (2009) From lumped to distributed via semi-distributed: calibration strategies for semi-distributed hydrologic models. J Hydrol. doi:10.1016/j.jhydrol.2009.02.021
Khan AQ, Ormsbee LE (1989) A comparison of two hydrologic models for steeply sloping forested watersheds. J Hydrol 109:325–349
Kirpich ZP (1940) Time of concentration of small agricultural watersheds. Civil Eng 10:362–368
Klemes V (1986) Operational testing of hydrological simulation models. Hydrol Sci J 31(1):13–24
Kull D, Feldman A (1998) Evolution of Clark’s unit graph method to spatially distributed runoff. J Hydrol Eng, ASCE 3(1):9–19
Loague KM, Freeze RA (1985) A comparison of rainfall–runoff modeling techniques on small upland catchments. Water Resour Res 21(2):229–248
McCuen RH (1998) Hydrologic analysis and design. Upper Saddle River, New Jersey 07458: Prentice Hall
Meselhe EA, Habib EH, Oche OC, Gautam S (2009) Sensitivity of conceptual and physically based hydrologic models to temporal and spatial rainfall sampling. J Hydrol Eng. doi:10.1061/(ASCE)1084-0699(2009)14:7(711)
Michaud J, Sorooshian S (1994) Comparison of simple versus complex distributed runoff models on a midsized semiarid watershed. Water Resour Res 30(3):593–605
Nelson EJ (2006) Watershed modeling system (WMS), user’s manual. Brigham Young University Environmental Modeling Research Lab, Provo
Ogden FL, Garbrecht J, DeBarry PA, Johnson LE (2001a) GIS and distributed watershed models. I: data coverages and sources. J Hydrol Eng 6(6):506–514
Ogden FL, Garbrecht J, DeBarry PA, Johnson LE (2001b) GIS and distributed watershed models. II: modules, interfaces, and models. J Hydrol Eng 6(6):515–523
Paudel M, Nelson EJ, Scharffenberg W (2009) Comparison of lumped and quasi-distributed Clark runoff models using the SCS curve number equation. J Hydrol Eng 14:1098–1106
Peters L, Easton D (1996) Runoff simulation using radar rainfall data. Water Resour Bull, AWRA 32(4):753–760
Ponce VM (1989) Engineering hydrology principles and practices. Prentice Hall, Englewood cliffs
Refsgaard JC (1994) Model and data requirement for simulation of runoff and land surface processes in relation to global circulation models. In Global environmental change and land surface processes in hydrology: the trials and tribulations of modeling and measuring. Springer, New York
Sarangi A, Madramootoo CA, Enright P (2006) Comparison of spatial variability techniques for runoff estimation from a Canadian watershed. Biosyst Eng 95(2):295–308
Schulz EF (1976) Problems in applied hydrology. Water Resource Publication, Fort Collins
USDA-SCS (1985) Soil conservation service. National Engineering Handbook, Section 4: Hydrology, Washington, DC
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Ghavidelfar, S., Alvankar, S.R. & Razmkhah, A. Comparison of the Lumped and Quasi-distributed Clark Runoff Models in Simulating Flood Hydrographs on a Semi-arid Watershed. Water Resour Manage 25, 1775–1790 (2011). https://doi.org/10.1007/s11269-011-9774-5
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DOI: https://doi.org/10.1007/s11269-011-9774-5