A review of erosion and sediment transport models

By W. Merritt, R. Kelly, Anthony J. Jakeman. Environmental Modelling & Software, 2003

1,183 citations recorded by the source corpus.

Subfields: Environmental Chemistry, Soil Science, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/552724b10869acf04bece4f800a4145f0229e0e8

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In Environmental Chemistry

In Soil Science

In Water Science and Technology

Citations in the corpus

A review of Bayesian belief networks in ecosystem service modelling (2013, background): “Sufficient process knowledge to develop mechanistic models to quantify ESS like improved air quality, carbon sequestration in soils and erosion prevention is one possible reason for the lack of BBN applications (Skjemstad et al., 2004; Byun and Schere, 2006; Merritt et al., 2003).”
TopoToolbox: A set of Matlab functions for topographic analysis (2010, background): “…al., 2009), prediction of soil properties (Florinsky et al., 2002) and ecological habitat characteristics (Beck and Kitching, 2009), distributed hydrologic modelling (Lacroix et al., 2002; Wu et al., 2007; Viviroli et al., 2009) and erosion and sediment transport modelling (Merritt et al., 2003).”
Modeling Soil Processes: Review, Key Challenges, and New Perspectives (2016, methodology): “Several reviews on modeling soil erosion have been published in the past, and the reader is referred to those papers for more information on the different concepts ranging from simple models such as the Universal Soil Loss Equation (USLE), to more complex processbased models such as KINEROS (KINemat”
Multiscale effects of flow regime and habitat and their interaction on fish assemblage structure in eastern Australia (2007, methodology): “IQQM parameters are determined by calibration against observed streamflow data (Simons et al. 1996; Merritt et al. 2003).”
Soil Erosion Assessment in Kondoa Eroded Area in Tanzania using Universal Soil Loss Equation, Geographic Information Systems and Socioeconomic Approach (2015, methodology): “The available models for prediction of soil erosion are simple and empiricalbased to complex and physical-based (Merritt et al., 2003).”
A review of models for low impact urban stormwater drainage (2007, background): “Other reviews of contaminant models (e.g. the review of sediment models by Merritt et al., 2003) are not focussed on urban stormwater or LID.”
Surface soil moisture quantification and validation based on hyperspectral data and field measurements (2008, background): “Soil moisture is one of the key variables in the hydrologic cycle controlling processes such as infiltration and discharge with consequences for surface water availability, plant growth, soil erosion and land degradation [1].”