Event-Oriented Runoff Estimation in Mountainous Basin by GSSHA Physically- Distributed Model

Document Type : Research Article

Authors

1 MSc Student of Water Resources Engineering, Water Engineering Department, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources

2 Assistant Prof. Water Engineering Department, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources

3 Associate Prof. Water Engineering Department, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources

Abstract

The physically-distributed models lead to more reliable results for surface runoff process simulation in basins with complicated physical condition. In this study, rainfall-runoff modeling in Ziarat mountainous basin is investigated using GSSHA physically-distributed model. Digital elevation model, soil type and land use maps prepared and three and two events are considered for calibration and validation. Fitness precision criteria including Nash-Sutcliffe (NSE), Percentage Error in Volume (PEV), Percentage Error in Time to Peak (PETP) and Percentage Error in Peak (PEP) beside visual criterion used for results analysis. Median of PEV, PEP and PETP for calibration and validation steps were (25.3 and 61.5), (5.5 and 11.8) and (4.8 and 0) that indicated underestimation for volume, suitable precision for peak and excellent precision for time to peak estimations. Also, evaluation of simulated hydrographs using visual and NSE criteria confirmed model precision for hydrograph simulation. The results show although soil initial moisture selected based on initial estimation in validation step but the overall precision of model in runoff characteristics estimations is suitable.

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References

[1]. Panday, Sorab; Huyakorn, Peter S. A fully coupled physically-based spatially-distributed model for evaluating surface/subsurface flow. Advances in water Resources, 2004, 27.4: 361-382.‏
[2]. Refsgaard, Jens Christian; Knudsen, Jesper. Operational validation and intercomparison of different types of hydrological models. Water Resources Research, 1996, 32.7: 2189-2202.‏
[3]. Refsgaard, Jens Christian; Storm, Borge; Refsgaard, Anders. Recent developments of the SystemeHydrologiqueEuropeen (SHE) towards the MIKE SHE. IAHS Publications-Series of Proceedings and Reports-Intern Assoc Hydrological Sciences, 1995, 231: 427.‏
[4]. Eidipour, Amin, et al. Flood Hydrograph Estimation Using GIUH Model in Ungauged Karst Basins (Case Study: Abolabbas Basin).‏
[5]. Adib, Arash; Salarijazi, Meysam; Najafpour, Khosro. Evaluation of synthetic outlet runoff assessment models. Journal of Applied Sciences and Environmental Management, 2010, 14.3
[6]. Adib, Arash, et al. Comparison between GCIUH-Clark, GIUH-Nash, Clark-IUH, and Nash-IUH models. Turkish Journal of Engineering and Environmental Sciences, 2010, 34.2: 91-104.‏
[7]. Adib, Arash, et al. Comparison between characteristics of geomorphoclimatic instantaneous unit hydrograph be produced by GcIUH based Clark Model and Clark IUH model. Journal of Marine Science and Technology, 2011, 19.2: 201-209.‏
[8]. Senarath, Sharika US, et al. On the calibration and verification of twodimensional, distributed, Hortonian, continuous watershed models. Water Resources Research, 2000, 36.6: 1495-1510.‏
[9]. Ogden, Fred L., et al. GIS and distributed watershed models. II: Modules, interfaces, and models. Journal of Hydrologic Engineering, 2001, 6.6: 515-523.‏
[10]. Goodrich, David Charles. Geometric simplification of a distributed rainfall-runoff model over a range of basin scales. 1990.‏
[11].Grayson, Rodger B.; Moore, Ian D.; Mcmahon, Thomas A. Physically based hydrologic modeling: 1. A terrain‐based model for investigative purposes. Water resources research, 1992, 28.10: 2639-2658.‏
[12]. Downer, Charles W.; Ogden, Fred L. Prediction of runoff and soil moistures at the watershed scale: Effects of model complexity and parameter assignment. Water Resources Research, 2003, 39.3.‏
[13]. Niedzialek, Justin M.; Ogden, Fred L. Physics-based distributed rainfall-runoff modeling of urbanized watersheds revisited with GSSHA. In: World Water & Environmental Resources Congress 2003. 2003. p. 1-10.‏
[14]. Downer, Charles W.; Ogden, Fred L. GSSHA: Model to simulate diverse stream flow producing processes. Journal of Hydrologic Engineering, 2004, 9.3: 161-174.‏
[15]. Habib, Emad; Aduvala, Ananda V.; Meselhe, Ehab A. Analysis of radar-rainfall error characteristics and implications for streamflow simulation uncertainty. Hydrological sciences journal, 2008, 53.3: 568-587.‏
[16]. Paudel, Murari. An examination of distributed hydrologic modeling methods as compared with traditional lumped parameter approaches. 2010.‏
[17]. ELhassan, Almoutaz A., et al. Performance of a conceptual and physically based model in simulating the response of a semi‐urbanized watershed in San Antonio, Texas. Hydrological Processes, 2013, 27.24: 3394-3408.‏
[18]. Chintalapudi, Singaiah, et al. Physically Based, Hydrologic Model Results Based on Three Precipitation Products1. 2012.‏
[19]. Hamedi, Amirmasoud; Fuentes, Hector R. Comparative Effectiveness and Reliability of NEXRAD Data to Predict Outlet Hydrographs Using the GSSHA and HEC-HMS Hydrologic Models. In: World Environmental and Water Resources Congress 2015. 2015. p. 1444-1453.‏
[20]. Furl, Chad, et al. Hydrometeorological Analysis of Tropical Storm Hermine and Central Texas Flash Flooding, September 2010. Journal of Hydrometeorology, 2015, 16.6: 2311-2327.‏
[21]. Sith, Ratino; Nadaoka, Kazuo. Comparison of SWAT and GSSHA for High Time Resolution Prediction of Stream Flow and Sediment Concentration in a Small Agricultural Watershed. Hydrology, 2017, 4.2: 27.‏
[22]. Downer, C. W.; Ogden, F. L. Gridded surface subsurface hydrologic analysis (GSSHA) user’s manual. ERDC. CHL SR-06-1, United States Army Corps of Engineers, Engineering Research and Development Center, Vicksburg, 2006.‏
[23]. Johnson, Billy E.; Gerald, Terry K. Development of Nutrient Submodules for Use in the Gridded Surface Subsurface Hydrologic Analysis (gssha) Distributed Watershed MODEL1. 2006.‏
Iranian journal of Ecohydrology
Volume 4, Issue 4
January 2018
Pages 1215-1225

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History

  • Receive Date: 10 June 2017
  • Revise Date: 27 August 2017
  • Accept Date: 25 August 2017
  • First Publish Date: 22 December 2017
  • Publish Date: 22 December 2017

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