Calibrating SHE Soil‐Erosion Model for Different Land Covers

Wicks, Jon; Bathurst, James C.; Johnson, Clifton

doi:10.1061/(asce)0733-9437(1992)118:5(708)

Cited by 28 publications

(27 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With advances in geographical information systems (GIS), erosion models tended to adopt a more explicit representation of the area on which erosion occurs using spatially distributed parameters, providing outputs showing the spatial variability of the process. Examples of such models include WEPP (Nearing et al, 1989), SHESED (Wicks et al, 1992), LISEM (De Roo et al, 1996), and WEHY (Kavvas et al, 2004(Kavvas et al, , 2006.…”

Section: Introductionmentioning

confidence: 99%

Modeling soil erosion and its response to land-use change in hilly catchments of the Chinese Loess Plateau

et al. 2010

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Modeling soil erosion and its response to land-use change in hilly catchments of the Chinese Loess Plateau

et al. 2010

View full text Add to dashboard Cite

“…Although higher differences between experimental data and fitted model are observed in the sedigraph, it is considered a well done calibration when calibrations reported in the literature are analyzed. See, for instance, SHESED model by Wicks (1988), Wicks et al (1992), Bathurst et al (1995); MULTSED model by Wicks et al (1988); and WESP model by Lopes (1987) and Lopes and Lane (1988).…”

Section: Infiltration Model Recession Parametermentioning

confidence: 99%

Challenges in Modelling Sediment Matters

Aksoy

2015

Sediment Matters

View full text Add to dashboard Cite

Rainfall and runoff induced erosion and sediment transport in hydrological watersheds are complex processes. This process has great importance in scientific research studies and engineering practice. The amount of sediment transported within the watershed is needed for hydrological and environmental problems. Sediment transport over a watershed can be estimated by time series analysis, empirical or mechanistic equations, monitoring, sampling, surveying, remote sensing or geographical information systems. As monitoring and sampling sediment transport process are costly and not easy to implement yet, modelling has become an alternating tool used for estimating sediment transport. Data-based empirical models as well as process-based hydrological models are available for this purpose, yet modelling is difficult and challenging. Challenges encountered in the modelling are the variability in the estimate of sediment calculated by each model, data requirement for the calibration of model parameters, complexity in the calibration and validation stages of the process-based models, uncertainty in the transport capacity approach used in model construction, etc. In this chapter, these challenges related to the modelling sediment matters are discussed with an emphasis on the process-based sediment transport models. A case study on Buyukcekmece dam reservoir in the greater municipality region of Istanbul, Turkey shows that order of magnitude different outputs are obtained when data-based models are used for estimating sediment transport in hydrological watersheds. Process-based models were paid particular attention on their microtopographical structure, parameterization and data requirement.

show abstract

“…The Système Hydrologique Européen (SHE) soil erosion model was also subject to a sensitivity analysis (Wicks et al, 1992), although the goals of this work were more explicitly to understand whether the model could be applied without calibration. Results demonstrated that the model could predict overland flow response to simulated rainfall on saturated soil, but was less able to predict flow generated on dry soil, and indeed required detailed calibration to predict erosion or sediment yield as the erosion submodel was very sensitive to correct representation of the hydrology (Wicks et al, 1992).…”

Section: Sensitivity Analysis Of Erosion Modelsmentioning

confidence: 99%

“…Results demonstrated that the model could predict overland flow response to simulated rainfall on saturated soil, but was less able to predict flow generated on dry soil, and indeed required detailed calibration to predict erosion or sediment yield as the erosion submodel was very sensitive to correct representation of the hydrology (Wicks et al, 1992). and analysed the EUROSEM model using two techniques -a Monte Carlo-based approach which is discussed in the following sections, and a simple sensitivity analysis which varied parameters by ±10%.…”

Section: Sensitivity Analysis Of Erosion Modelsmentioning

confidence: 99%