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  • Statistical models of fluvial systems
  • Analyse de régression ; Analyse multivariée ; Fluviatile ; Géométrie hydraulique ; Modèle ; Statistique
  • Channel geometry ; Fluvial processes ; Model ; Multivariate analysis ; Regression analysis ; Statistics
  • This paper assesses the utility of statistical models by examining methodological issues associated with empirical analysis of hydraulic and channel geometry relationships. It also describes and presents examples of advanced statistical models
  • Concept ; Erosion ; Géomorphologie ; Modèle ; Météorisation ; Sciences de la Terre ; Théorie ; Versant
  • Concept ; Earth sciences ; Erosion ; Geomorphology ; Model ; Slope ; Theory ; Weathering
  • The AA. examine a simple model of hillslope processes under a variety of conditions in light of chaos theory. They show the limiting cases in which chaos would not be expected, and point out the similarity between reasonable nonlinear models
  • of hillslopes and other models that do exhibit chaos.
  • Character of headwaters adjustment to base level drop, investigated by digital modeling
  • Analyse numérique ; Fluviatile ; Hydrologie fluviale ; Modèle ; Niveau de base
  • Base level ; Fluvial hydrology ; Fluvial processes ; Model ; Numerical analysis
  • The AA. investigate river profile response to continuous base level drops using a computer model. In the analysis of results, they pay particular attention to indicators of headwaters erosional response to this type of base level change.
  • England ; Modèle ; Ravinement ; Royaume-Uni ; Ruissellement ; Système ; Versant
  • England ; Gully erosion ; Model ; Rill wash;Runoff ; Slope ; System ; United Kingdom
  • An empirical model is developed, based on the results of a 20 year record of field monitoring of gully evolution. The model relates rates of gully extension and stabilisation, identifying the finite temporal and spatial scales for gully development
  • Bassin-versant ; Etats-Unis ; Géométrie fractale ; Modèle ; Méthodologie ; Réseau de drainage
  • Catchment area;Watershed ; Drainage network ; Fractal geometry ; Methodology ; Model ; United States
  • in the United States shows that the multifractal spectra for each of the variables are very similar across basins, revealing a common structure of organization. This structure is compared to networks generated with Scheidegger's stochastic model of river basins
  • Bassin-versant ; Capacité de charge ; Etats-Unis ; Fluviatile ; Granulométrie ; Géométrie hydraulique ; Modèle ; Pennsylvania
  • Carrying capacity ; Catchment area;Watershed ; Channel geometry ; Fluvial processes ; Grain size distribution;Granulometry ; Model ; Pennsylvania ; United States
  • Analytical hydraulic geometry equations are combined with a watershed model to quantify downstream trends in equilibrium fluvial morphology in gravel streams. The hydraulic geometry equations relate fluvial morphology to discharge, bedload transport
  • rate and grain size; these independent variables are in turn determined by routing gravel supplied at zero-order basins through a channel network. The resulting model specifies the discharge, bedload transport rate, grain size, width, depth, slope
  • Concept ; Cycle d'érosion ; Erosion ; Géomorphologie ; Modèle ; Système
  • Concept ; Erosion ; Erosion cycle ; Geomorphology ; Model ; System
  • Concept ; Géomorphologie ; Géosystème ; Modèle ; Méthodologie ; Prévision ; Statistique ; Système d'information géographique
  • Concept ; Forecast;Prediction ; Geographical information system ; Geomorphology ; Geosystem ; Methodology ; Model ; Statistics
  • Concept ; Geomorphology ; Human impact ; Landscape ; Modelling ; System
  • , and the outputs of such mixed geomorphic systems reflect the combined effects of equilibrium, disequilibrium, and nonequilibrium subsystems. This classification provides a framework for analysis and modeling of complex landscapes.
  • California ; Eolien ; Etats-Unis ; Géomorphodynamique ; Modèle ; Saltation ; Système
  • California ; Earth surface processes ; Eolian features ; Model ; System ; United States
  • level. The goal of the study is to construct a model of the past estuarine landscape, and from this model to evaluate the degree to which an earlier inherited morphology controls the functioning of the modern estuary and its future evolution.