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A list of all pages that have property "Describe processes" with value "Watershed erosion". Since there have been only a few results, also nearby values are displayed.

Showing below up to 26 results starting with #1.

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List of results

  • Model:TUGS  + (The two key elements of TUGS model are a sThe two key elements of TUGS model are a surface-based bedload transport equation that allows for calculation of transport rate and grain size distribution of both gravel and sand (Wilcoco and Crowe 2003), and functions that link bedload grain size distributions with surface and subsurface grain size distributions (Hoey and Ferguson 1994; Toro-Escobar et al. 1996; Cui 2007a).994; Toro-Escobar et al. 1996; Cui 2007a).)
  • Model:GullyErosionProfiler1D  + (This code will erode cells according to a This code will erode cells according to a shear stress and also deposit sediment based on the concentration of sediment in a modeled water column. Additionally it has a headcut that migrates upstream and as the headcut erodes it deposits sediment downstream that the model must erode.ment downstream that the model must erode.)
  • Model:DepthDependentDiffuser  + (This component calculates the flux of soil on a hillslope according to a soil depth-dependent linear diffusion rule.)
  • Model:DELTA  + (This driver program solves the equations dThis driver program solves the equations describing horizontal velocities in a buoyant, turbulent, plane jet issuing in a normal direction from a coast into a large volume of still fluid. Sedimentation under the jet is modelled using a hemipelagic rain formulation, bedload dumping, and downslope diffusion due to slides, slumps and turbidity currents. to slides, slumps and turbidity currents.)
  • Model:KWAVE  + (This model is designed to represent infiltThis model is designed to represent infiltration (Green-Ampt), rainfall interception, and runoff (kinematic wave). Hydraulic roughness is accounted for using a depth-dependent Manning-type flow resistance equation.</br></br>For details on the model equations and numerical solution, see the following references:</br></br>Rengers, F.K., McGuire, L.A., Kean, J.W., Staley, D.M. and Hobley, D.E.J., 2016. </br>Model simulations of flood and debris flow timing in steep catchments after wildfire. </br>Water Resources Research, 52(8), pp.6041-6061.</br></br>McGuire, L.A. and Youberg, A.M., 2019. Impacts of successive wildfire on soil hydraulic properties: </br>Implications for debris flow hazards and system resilience. Earth Surface Processes and Landforms, </br>44(11), pp.2236-2250.sses and Landforms, 44(11), pp.2236-2250.)
  • Model:GISKnickFinder  + (This tool is used to identify knickpoints using a drainage area threshold and a curvature threshold value)
  • Model:SurfaceRoughness  + (This tool maps out local surface roughnessThis tool maps out local surface roughness based on the neighborhood distribution of surface normal vectors. As sediment transport processes in soil mantled landscapes tend to be diffusive, the emergence of bedrock drives an increase in surface roughness that is mapped out by this algorithm.ness that is mapped out by this algorithm.)
  • Model:DrEICH algorithm  + (This tool works under the assumption that the channels incise approximately based on the stream power law. It identifies the channel head as the upstream limit of fluvial incision based on the chi profile of the channel.)
  • Model:Physprop  + (Thus the model yields not only compressional wave speeds, but also shear wave speeds and compressional and shear wave attenuation coefficients.)
  • Model:CoastMorpho2D  + (Tidal currents Sea waves Swell waves Storm surges Tidal dispersion transport Along-wave transport Downslope transport by currents, swell waves, breaking waves, and sea waves Edge erosion Marsh processes Along-shore transport by radiation stresses)
  • Model:MarshMorpho2D  + (Tide-averaged flow (by tidal dispersion) FTide-averaged flow (by tidal dispersion)</br>Flow erosion (assuming quasi-static propagation)</br>Sediment deposition</br>Sediment transport</br>Soil diffusion (aka creep)</br>Organic sediment production</br>Vegetation effect on drag, settling velocity, soil creep</br>Sea level rise</br></br>v.20 also includes:</br></br>Wind waves (empirical function of speed, water depth, and fetch)</br>Edge erosion</br>Identification of impounded areas</br>Active pond deepening</br>Active pond expansionctive pond deepening Active pond expansion)
  • Model:CSt ASMITA  + (Time- and length-averaged sediment transport in shelf, shoreface and surf zone environments combined with morphodynamic-driven sediment flux through inlet, along ebb tide delta and with the bay or estuar.)
  • Model:QDSSM  + (Time-averaged sediment transport by long-rTime-averaged sediment transport by long-range river transport based on discharge and gradient and on short range diffusive transport based on gradient and diffusion coefficients. Thresholds for slope and discharge can be set and act as a means to keep the flow from spreading over every adjacent grid cell allowing avulsion and bifurcation processes to be modeled.n and bifurcation processes to be modeled.)
  • Model:ADCIRC  + (To many to list, see http://adcirc.org)
  • Model:WRF  + (To simulate real weather and to do simulatTo simulate real weather and to do simulations with coarse resolutions, a minimum set of physics components is required, namely radiation, boundary layer and land-surface parameterization, convective parameterization, subgrid eddy diffusion, and microphysics. Since the model is developed for both research and operational groups, sophisticated physics schemes and simple physics schemes are needed in the model. The objectives of the WRF physics development are to implement a basic set of physics into the WRF model and to design a user friendly physics interface. Since the WRF model is targeted at resolutions of 1-10 km, some of physics schemes might not work properly in this high resolution (e.g. cumulus parameterization). However, at this early stage of model development, only existing physics schemes are implemented, and most of them are taken from current mesoscale and cloud models. In the future, new physics schemes designed for resolutions of 1-10 km should be developed and implemented. See http://www.mmm.ucar.edu/wrf/users/docs/wrf-phy.html#physics_scheme for more informationy.html#physics_scheme for more information)
  • Model:SWAT  + (Too many to describe, see: http://www.brc.tamus.edu/swat/index.html)
  • Model:DeltaClassification  + (Tool is used to regionalize a study area iTool is used to regionalize a study area into zones with 'common physical characteristics' with the underlying aim of differentiating areas of influence of various physical processes. Regionalization attempts to aggregate spatial units or observations into clusters based on spatial continuity as well as attribute similarity. </br>Geometry metrics are derived from satellite data analysis and include a.o. island area, island aspect ratio, island fractal dimension, and surrounding channel metric, channel width, channel sinousity, number of outflow channels, convexity.ty, number of outflow channels, convexity.)
  • Model:CosmoLand  + (Tracking of cosmogenic nuclides on surface and in fluvial system of a landslide dominated drainage basin)
  • Model:GRLP  + (Transport-limited equilibrium-width long-profile evolution)
  • Model:Cliffs  + (Tsunami propagation from a source earthquake to a coastal site, land inundation.)
  • Model:LOGDIST  + (Turbulent open channel flow along a rough wall)
  • Model:GeoClaw  + (Two-dimensional depth-averaged flows, particularly suitable for tsunami and storm surge modeling, and has also bee used for dam breaks and flooding of river valleys.)
  • Model:Non Local Means Filtering  + (Uses a non-local means filter image processing technique to perform filtering/smoothing of a DEM.)
  • Model:NEXRAD-extract  + (Uses the Python NetCDF toolkit (see python-netcdf on apt) to pull the desired information out of NetCDF files generated from NEXRAD (WSR-88D) outputs)
  • Model:Cross Shore Sediment Flux  + (Using energetics-based formulations for waUsing energetics-based formulations for wave-driven sediment transport, we develop a robust methodology for estimating the morphodynamic evolution of a cross-shore sandy coastal profile. The wave-driven cross-shore</br>sediment flux depends on three components: two onshore-directed terms (wave asymmetry and wave streaming) and an offshore-directed slope term. The cross-shore sediment transport formulation defines a dynamic equilibrium profile and, by perturbing about this steady-state profile, we present an advection-diffusion formula for profile evolution. Morphodynamic Péclet analysis suggests that the shoreface is diffusionally dominated. Using this depth-dependent characteristic diffusivity timescale, we distinguish a morphodynamic depth of closure for a given time envelope. Even though wave-driven sediment transport can (and will) occur at deeper depths, the rate of morphologic bed changes in response to shoreline change becomes increasingly slow below this morphodynamic closure depth.ow below this morphodynamic closure depth.)
  • Model:OlaFlow  + (Wave generation, propagation, shoaling, diffraction, refraction, breaking. Nonlinear wave-wave and wave-current interaction. Surf and swash hydrodynamics.)
  • Model:Quad  + (We model sedimentation in a fluvio-deltaicWe model sedimentation in a fluvio-deltaic system under base-level changes. Possible dynamics include: (1) river aggradation (i.e., a seawards migration of the alluvial-basement transition), (2) river degradation (i.e., a landwards migration of the alluvial-basement transition), (3) regression (i.e., a seawards migration of the shoreline), and (4) transgression (e.g., a landwards migration of the shoreline)., a landwards migration of the shoreline).)
  • Model:Bedrock Fault Scarp  + (Weathering and erosion of bedrock on a hillslope; vertical and horizontal displacement due to earthquakes.)
  • Model:CMFT  + (Wind waves are computed by wave action proWind waves are computed by wave action propagation, tidal current are computed with a quasi static approximation. Bottom shaer stress, computed from a combination ot the two, induces bottom erosion. Suspended sediment are advected / diffused by tidal current, and eventually sedimented back. A different erosional process are used where waves break on a vertical obstacle (the vertical scarp at the marsh boundary). Vegetation is computed as a function of the ground elevation respect to the mean tidal level. Vegetation change bottom erodability and the sediment trapping.tom erodability and the sediment trapping.)
  • Model:STORM  + (cyclone winds)
  • Model:Zscape  + (described on project webpage)
  • Model:DECAL  + (development of dune landscapes under the interaction between aeolian sand transport and vegetation growth and response)
  • Model:Delft3D  + (drying/flooding, turbulence and large eddidrying/flooding, turbulence and large eddies, stratification, internal waves, density effects of salinity, temperature and sediment, free surface flow, wave-current interaction, wind forcing, precipitation and evaporation, sediment sorting, fluid mud, morphological change, biochemical reactions, algae modelling, nutrient cycling, atmosphere-water exchange, adsorption and desorption of substances, deposition and re-suspension of particles and adsorbed substances, bacterial , predationadsorbed substances, bacterial , predation)
  • Model:FineSed3D  + (fine sediment transport in the bottom boundary layer)
  • Model:SIMSAFADIM  + (fluid flow (2D potential flow), clastic sediment transport and deposition, carbonate deposition and transport, evaporate deposition, sea level change and coastline movement)
  • Model:TURB  + (fluid turbulence on a wall of given hydraulic roughness)
  • Model:Gospl  + (global-scale forward models of landscape evolution, dual-lithology (coarse and fine) sediment routing and stratigraphic history forced with deforming plate tectonics, paleotopographies and paleoclimate reconstructions.)
  • Model:ISSM  + (ice stress balance, ice mass transport / fice stress balance, ice mass transport / free surface, ice thermal (cold- and enthalpy-based), dual continuum hydrology, SHAKTI hydrology, GlaDS hydrology, ice damage mechanics, transient (time-dependent projection), grounding line dynamics, glacial isostatic adjustment (GIA), solid earth elastic response, sea-level fingerprints, positive degree day (PDD), surface energy balance (snow densification and surface mass balance calculation with the GEMB model), basal melt parameterizations (PICO/PICOP), empirical scalar tertiary anisotropy regime (ESTAR), uncertainty quantification capabilities (Dakota)ainty quantification capabilities (Dakota))
  • Model:DeltaSIM  + (longterm 2D deltaic sedimentation and clinoform formation for fluvial dominated deltas)
  • Model:ModelParameterDictionary  + (n/a)
  • Model:Drainage Density  + (n/a)
  • Model:RivMAP  + (n/a)
  • Model:CruAKTemp  + (n/a)
  • Model:SETTLE  + (non-hindered grain settling)
  • Model:Bifurcation  + (quasi-normal flow (1D) downstream and transverse sediment fluxes mass conservation (Exner))
  • Model:SedFoam-2.0  + (sediment transport drive by turbulent/laminar flows)
  • Model:AnugaSed  + (sediment transport, vegetation drag)
  • Model:GEOMBEST  + (see User's Guide and Moore et al., 2010)
  • Model:WBMsed  + (see: Sagy Cohen, Albert J. Kettner, James P.M. Syvitski, Balazs M. Fekete, WBMsed, a distributed global-scale riverine sediment flux model: Model description and validation, Computers and Geosciences, ISSN 0098-3004, 10.1016/j.cageo.2011.08.011.)
  • Model:XBeach  + (short wave propagation, infragravity waves, shear waves, swash, overtopping, overwashing, breaching, longshore current, cross-shore current, suspended sediment transport, morphological changes, dune erosion)