WEPP: Model Use, Calibration, and Validation

Flanagan, D. C.; Frankenberger, J. R.; Ascough, J. C.

doi:10.13031/2013.42254

Cited by 71 publications

(55 citation statements)

References 41 publications

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“…Detailed information on WEPP model application, calibration, and validation can be found in Flanagan et al (2012). The article also include two case studies, one for a hillslope profile application of WEPP, and the other for a watershed application.…”

Section: The Water Erosion Prediction Projectmentioning

confidence: 99%

Predicting plot soil loss by empirical and process-oriented approaches. A review

Bagarello

Ferro²,

Flanagan

2018

J Agricult Engineer

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Soil erosion directly affects the quality of the soil, its agricultural productivity and its biological diversity. Many mathematical models have been developed to estimate plot soil erosion at different temporal scales. At present, empirical soil loss equations and process-oriented models are considered as constituting a complementary suite of models to be chosen to meet the specific user need. In this paper, the Universal Soil Loss Equation and its revised versions are first reviewed. Selected methodologies developed to estimate the factors of the model with the aim to improve the soil loss estimate are described. Then the Water Erosion Prediction Project which represents a process-oriented technology for soil erosion prediction at different spatial scales, is presented. The available criteria to discriminate between acceptable and unacceptable soil loss estimates are subsequently introduced. Finally, some research needs, concerning tests of both empirical and process-oriented models, estimates of the soil loss of given return periods, reliability of soil loss measurements, measurements of rill and gully erosion, and physical models are delineated.

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Section: The Water Erosion Prediction Projectmentioning

confidence: 99%

Predicting plot soil loss by empirical and process-oriented approaches. A review

Bagarello

Ferro²,

Flanagan

2018

J Agricult Engineer

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“…In recent decades, a large number of erosion models have been developed, operating at different time and spatial scales with various levels of complexity (Cerdà, Lavee, Romero-Díaz, Hooke, & Montanarella, 2010;Karydas, Panagos, & Gitas, 2014;Ferro & Porto, 2000). Among these models are the Water Erosion Prediction Project (Flanagan, Frankenberger, & Ascough II, 2012), Annualized Agricultural Non-Point Source (Bingner & Theurer, 2005;Theurer & Cronshey, 1998; United States Department of Agriculture-Agricultural Research Service, 2011), Agricultural Policy/Environmental eXtender (Gassman et al, 2010), European Soil Erosion Model (Morgan et al, 1998), Kinematic Runoff and Erosion Model (KINEROS2; Smith, Goodrich, & Quinton, 1995), Pan-European Erosion Risk Assessment (Kirkby et al, 2003), Revised Universal Soil Loss Equation (RUSLE2015; Panagos et al, 2015), and the Soil and Water Assessment Tool (SWAT; Arnold, Srinivasan, Muttiah, & Williams, 1998).…”

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confidence: 99%

Identifying sediment source areas in a Mediterranean watershed using the SWAT model

et al. 2018

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This study aims to evaluate the suitability of the Soil and Water Assessment Tool model in simulating runoff and sediment loss in the Carapelle (SE Italy), a typical Mediterranean watershed, where continuous measurements of streamflow and sediment concentration were collected over a 5‐year period, on a half‐hour timescale, processed on a daily timescale. After sensitivity analysis, the model was calibrated and validated for runoff and sediment. Statistics show generally satisfactory efficiency. To further improve sediment simulation performance, we used a seasonal calibration scheme, in which data recorded in the dry and wet seasons were used to calibrate sediments separately, on a seasonal basis. We also tested the model's capability in identifying the major sediment source zones and river segments where there is sediment deposition. On the basin scale, the average water yield (186 mm) corresponds to 27% of the total rainfall (686 mm), and average annual sediment load was estimated to be 6.8 t ha−1 year−1. On the subbasin scale, a gradient of sediment yield was found that is characterised by a large difference among the upper (7 to 13 t ha−1 year−1), central, and lower parts (<1 t ha−1 year−1) of the study area. Conversely, deposition in channel flow has its highest values in the central part of the watershed, where there is an alluvial plain. Winter wheat and olive land use are the major source areas, in terms of sediment. This study confirms that the Mediterranean watershed is a fragile ecosystem, and measures are needed to mitigate soil depletion.

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“…Initial analyses of model performance were out of the acceptable ranges set by Dv, NSE, and R 2 due to underprediction of the GeoWEPP model. Literature suggest that several key soil characteristics including effective hydraulic conductivity (K e ), rill erodibility (K r ), interrill erodibility (Ki), and critical shear stress (τ cr ) can be calibrated by ±10, ±25, or ±50 in order to reduce the differences occuring between observed and predicted values in the cases of under/over prediction of the model [21,23,[28][29][30]. In particular, the majority of these studies suggested that especially K e and Ki are highly sensitive to soil loss and sediment yield among others; thus, in this study the values of these two soil features were first changed during the calibration process.…”

Section: Resultsmentioning

confidence: 99%

Subdividing Large Mountainous Watersheds into Smaller Hydrological Units to Predict Soil Loss and Sediment Yield Using the GeoWEPP Model

Özalp¹,

Yüksel²,

Yıldırımer³

2017

Pol. J. Environ. Stud.

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WEPP: Model Use, Calibration, and Validation

Cited by 71 publications

References 41 publications

Predicting plot soil loss by empirical and process-oriented approaches. A review

Predicting plot soil loss by empirical and process-oriented approaches. A review

Identifying sediment source areas in a Mediterranean watershed using the SWAT model

Subdividing Large Mountainous Watersheds into Smaller Hydrological Units to Predict Soil Loss and Sediment Yield Using the GeoWEPP Model

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