Application and sensitivity analysis of process‐based erosion model GUEST

Misra, R. K.; Rose, C. W.

doi:10.1111/j.1365-2389.1996.tb01858.x

Cited by 135 publications

(50 citation statements)

References 20 publications

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“…Various process-based erosion models have been developed since the mid-1990s, including EUROSEM in Europe (Morgan et al, 1998), the GUEST model in Australia (Misra and Rose, 1996), and the WEPP model in the United States (Flanagan and Nearing, 1995). We will focus here on the example of the WEPP model, largely because it is the technology most familiar to the author.…”

Section: The Approachesmentioning

confidence: 99%

Soil Erosion and Conservation

Nearing

2013

Environmental Modelling

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Section: The Approachesmentioning

confidence: 99%

Soil Erosion and Conservation

Nearing

2013

Environmental Modelling

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“…Numerous studies (e.g. Jetten et al 1999Jetten et al , 2003Tucker & Whipple 2002;Tucker 2004;Van Griensven et al 2006) applied sensitivity analysis on various erosion models such as MPSIAC (Behnam & Parehkar 2011), CREAM (Lane & Ferriera 1982), EUROSEM (Veihe & Quinton 2000), WEPP (Nearing et al 1990), PSEM-2D (Nord & Esteves 2005), USLE (Tattari & Bärlund 2001;Liu & Liu 2010), GUEST (Misra & Rose 1996), ANSWERS (De Roo et al 1989), etc. Furthermore, White and Chaubey (2005) used sensitivity analysis to identify the parameters that most influence predicted flow, sediment and nutrient outcomes for the Soil and Water Assessment Tool (SWAT) model.…”

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confidence: 99%

Erosion Potential Method (Gavrilović method) sensitivity analysis

Dragičević¹,

Karleuša²,

Ožanić³

2017

Soil Water Res.

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Dragičević N., Karleuša B., Ožanić N. (2017): Erosion Potential Method (Gavrilović method) sensitivity analysis. Soil & Water Res., 12: 51−59.In recent decades, various methods for erosion intensity and sediment production assessment have been developed. The necessity for better model performance has led to the more frequent application of the method sensitivity and uncertainty assessments in order to decrease errors that arise from the model concept and its main assumptions. The analysis presented in this paper refers to the application of the Gavrilović method (Erosion Potential Method), an empirical and semi-quantitative method that can estimate the amount of sediment production and sediment transport as well as the erosion intensity and indicate the areas potentially threatened by erosion. The emphasis in this paper is given upon the method sensitivity analysis that has not previously been conducted for the Gavrilović method. The sensitivity analysis was conducted for fourteen different parameters included in the method, all in relation to different model outputs. Each parameter was perceived and discussed individually in relation to its effect upon the method outputs, and ranked into categories depending on their influence on one or more model outputs. The objective of the analysis was to explore the constraints of the Gavrilović method and the method response to changes deriving from the each individual parameter in an attempt to provide a better understanding of the method, the weight and the contribution of each parameter in the overall method. The parameters that could potentially be used in future research, for method modification and calibration in areas with different catchment characteristics (e.g. climate, geological, etc.) were identified. The most sensitive model parameters resulting from conducted sensitivity analysis for the Gavrilović method are also those considered to be significant in the scientific literature on erosion. The Gavrilović method sensitivity analysis has been done on a case study for the Dubracina catchment area, Croatia.

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“…Hence, to resolve this problem, soil erosion models are used provided they are robust and used in the right manner [44]. There are multiple models used for erosion modeling such as The European Soil Erosion Model (EUROSEM) [45], Griffith University Erosion System Template (GUEST) [46], The LImburg Soil Erosion Model (LISEM) [47], Revised Universal Soil Loss Equation (RUSLE) [48], Système Hydrologique Européen TRANsport (SHETRAN) [49] and so on. The various scenarios predicted are summarized in Table 2.…”

Section: Change In Soil Conditionmentioning

confidence: 99%

Millets for Food Security in the Context of Climate Change: A Review

et al. 2018

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A growing population means an ever-increasing demand for food. This global concern has led to antagonism over resources such as water and soil. Climate change can directly influence the quality and availability of these resources, thereby adversely affecting our food systems and crop productivity, especially of major cereals such as rice, wheat and maize. In this review, we have looked at the availability of resources such as water and soil based on several modeling scenarios in different regions of the world. Most of these models predict that there will be a reduction in production rates of various cereal crops. Furthermore, all the major cereal crops are known to have a higher contribution to global warming than alternative crops such as millets which should be considered in mitigating global food insecurity. In this study, we have used the data to predict which regions of the world are most adversely affected by climate change and how the cultivation of millets and other crops could aid in the reduction of stress on environmental resources.

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Application and sensitivity analysis of process‐based erosion model GUEST

Cited by 135 publications

References 20 publications

Soil Erosion and Conservation

Soil Erosion and Conservation

Erosion Potential Method (Gavrilović method) sensitivity analysis

Millets for Food Security in the Context of Climate Change: A Review

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