Effect of Watershed Subdivision on Simulation Runoff and Fine Sediment Yield

Bingner, Ronald L.; Garbrecht, Jürgen; Arnold, Jeffrey G.; Srinivasan, R.

doi:10.13031/2013.21391

Cited by 115 publications

(94 citation statements)

References 7 publications

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“…However, the gap in accuracy between the two approaches decreased with increasing numbers of subwatersheds. Bingner et al (1997) report that the number of simulated subwatersheds affected predicted sediment yield and suggested that sensitivity analyses should be performed to determine the appropriate level of subwatersheds. Jha et al (2004a) found that SWAT sediment and nitrate predictions were sensitive to variations in both HRUs and subwatersheds but mineral P estimates were not.…”

Section: Hru and Subwatershed Delineation Effectsmentioning

confidence: 99%

The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions

Gassman

Reyes²,

Green³

et al. 2007

Transactions of the ASABE

2,389

1,574

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Section: Hru and Subwatershed Delineation Effectsmentioning

confidence: 99%

The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions

Gassman

Reyes²,

Green³

et al. 2007

Transactions of the ASABE

2,389

1,574

View full text Add to dashboard Cite

“…Applications of SWAT in watersheds in humid regions have been abundantly published in the literature (e.g., Srinivasan et al, 1993;Srinivasan and Arnold, 1994;Cho et al, 1995;Bingner et al, 1997;Arnold et al, 1999;Santhi et al, 2001;Kaur et al, 2003). However, applications of SWAT in dry environments are still relatively limited.…”

Section: Introductionmentioning

confidence: 99%

Modelling water-harvesting systems in the arid south of Tunisia using SWAT

Ouessar

Bruggeman

Abdelli

et al. 2009

Hydrol. Earth Syst. Sci.

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Abstract. In many arid countries, runoff water-harvesting systems support the livelihood of the rural population. Little is known, however, about the effect of these systems on the water balance components of arid watersheds. The objective of this study was to adapt and evaluate the GIS-based watershed model SWAT (Soil Water Assessment Tool) for simulating the main hydrologic processes in arid environments. The model was applied to the 270-km 2 watershed of wadi Koutine in southeast Tunisia, which receives about 200 mm annual rain. The main adjustment for adapting the model to this dry Mediterranean environment was the inclusion of waterharvesting systems, which capture and use surface runoff for crop production in upstream subbasins, and a modification of the crop growth processes. The adjusted version of the model was named SWAT-WH. Model evaluation was performed based on 38 runoff events recorded at the Koutine station between 1973 and 1985. The model predicted that the average annual watershed rainfall of the 12-year evaluation period (209 mm) was split into ET (72%), groundwater recharge (22%) and outflow (6%). The evaluation coefficients for calibration and validation were, respectively, R 2 (coefficient of determination) 0.77 and 0.44; E (NashSutcliffe coefficient) 0.73 and 0.43; and MAE (Mean Absolute Error) 2.6 mm and 3.0 mm, indicating that the model could reproduce the observed events reasonably well. However, the runoff record was dominated by two extreme events, which had a strong effect on the evaluation criteria. Discrepancies remained mainly due to uncertainties in the obCorrespondence to: M. Ouessar (med.ouessar@ira.agrinet.tn ) served daily rainfall and runoff data. Recommendations for future research include the installation of additional rainfall and runoff gauges with continuous data logging and the collection of more field data to represent the soils and land use. In addition, crop growth and yield monitoring is needed for a proper evaluation of crop production, to allow an economic assessment of the different water uses in the watershed.

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“…An obvious approach is to divide the watershed into its natural sub-watersheds, thus preserving the watershed's natural boundaries, flow-paths and channels for realistic water routing [23][24][25][26][27][28][29]. The concepts of critical source area [30][31][32][33][34][35][36], threshold drainage area [37] and aggregated simulation area [38] have also been used to delineate sub-watersheds within semi-distributed models.…”

Section: Overview Of Schematization and Parameterization Approaches Imentioning

confidence: 99%

The Curve Number Concept as a Driver for Delineating Hydrological Response Units

Savvidou

Efstratiadis

Koussis

et al. 2018

Water

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Abstract:In this paper, a new methodology for delineating Hydrological Response Units (HRUs), based on the Curve Number (CN) concept, is presented. Initially, a semi-automatic procedure in a GIS environment is used to produce basin maps of distributed CN values as the product of the three classified layers, soil permeability, land use/land cover characteristics and drainage capacity. The map of CN values is used in the context of model parameterization, in order to identify the essential number and spatial extent of HRUs and, consequently, the number of control variables of the calibration problem. The new approach aims at reducing the subjectivity introduced by the definition of HRUs and providing parsimonious modelling schemes. In particular, the CN-based parameterization (1) allows the user to assign as many parameters as can be supported by the available hydrological information, (2) associates the model parameters with anticipated basin responses, as quantified in terms of CN classes across HRUs, and (3) reduces the effort for model calibration, simultaneously ensuring good predictive capacity. The advantages of the proposed approach are demonstrated in the hydrological simulation of the Nedontas River Basin, Greece, where parameterizations of different complexities are employed in a recently improved version of the HYDROGEIOS model. A modelling experiment with a varying number of HRUs, where the parameter estimation problem was handled through automatic optimization, showed that the parameterization with three HRUs, i.e., equal to the number of flow records, ensured the optimal performance. Similarly, tests with alternative HRU configurations confirmed that the optimal scores, both in calibration and validation, were achieved by the CN-based approach, also resulting in parameters values across the HRUs that were in agreement with their physical interpretation.

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Effect of Watershed Subdivision on Simulation Runoff and Fine Sediment Yield

Cited by 115 publications

References 7 publications

The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions

The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions

Modelling water-harvesting systems in the arid south of Tunisia using SWAT

The Curve Number Concept as a Driver for Delineating Hydrological Response Units

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