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  • Modelling sediment dynamics due to hillslope–river interactions : incorporating fluvial behaviour in landscape evolution model LAPSUS
  • Bassin-versant ; Débit ; Erodabilité ; Espagne ; Géomorphodynamique ; Modèle ; Modèle numérique de terrain ; Murcia ; Simulation ; Transport sédimentaire
  • Digital elevation model ; Discharge ; Earth surface processes ; Erodibility ; Model ; Murcia ; Sediment transport ; Simulation ; Spain ; Watershed
  • to simulate sediment dynamics for coupled hillslope-river systems without adding new process equations. The model should be able to reproduce alternating aggradation and incision in the floodplains of catchments, depending on simulated conditions. Testing
  • LEM LAPSUS is a relatively simple cellular model operating on timescales of centuries to millennia and using annual timesteps that has had a hillslope focus. In this paper, the AA. developed, tested and demonstrate the ability of LEM LAPSUS
  • was done using an artificial digital elevation model (DEM) and a demonstration of the ability for fluvial simulation was performed for a real landscape (Torrealvilla catchment in the Guadalentín Basin, Murcia Province, southeast Spain).
  • 2012
  • [b1] Land Dynamics Group, Univ., Wageningen, Pays-Bas
  • Continuous-time modeling with spatial dependence
  • Allemagne ; Calcul matriciel ; Chômage ; Dépendance spatiale ; Economie spatiale ; Marché local du travail ; Modèle ; Population active
  • Germany ; Local labour market ; Matrix analysis ; Model ; Spatial dependence ; Spatial economy ; Unemployment ; Working population
  • The article introduces spatial dependence in a continuous-time modeling framework. The structural equation model with spatial dependence is the first dynamic one. A simple regional labor market model for Germany is illustrated, comprising changes
  • 2012
  • Auto-organisation ; Conditions initiales ; Cycle géomorphologique ; Etude comparée ; Fluviatile ; Géomorphodynamique ; Géomorphologie littorale ; Modèle ; Modèle numérique ; Paysage ; Topographie ; Vallée
  • Coastal geomorphology ; Comparative study ; Earth surface processes ; Fluvial processes ; Geomorphic cycle ; Initial conditions ; Landscape ; Model ; Numerical model ; Self-organizing behaviour ; Topography ; Valley
  • of cyclic steps in steep, sandy beds. In this section, they briefly describe the dynamics of these systems and the models used to conduct the numerical experiments. The results highlight the importance to consider the influence of initial conditions when
  • comparing models with natural topography, estimating the uncertainty of model predictions, and studying how landscapes respond to disturbances.
  • 2012
  • Incorporating spatial dynamics and temporal dependency in land use change models
  • Decision ; Decision making process ; Land ; Land use ; Matrix analysis ; Model ; Simulation ; Spatial analysis ; Spatial dynamics ; Spillover ; Texas ; United States of America ; Utility fonction
  • Analyse spatiale ; Austin ; Calcul matriciel ; Dynamique spatiale ; Décision ; Déversement ; Etats-Unis ; Foncier ; Fonction d'utilité ; Modèle ; Simulation ; Stratégie d'acteurs ; Texas ; Utilisation du sol
  • Modèle empirique discret de l'utilisation du sol dans un schéma de structure économique adapté aux décisions de changement dans l'utilisation du sol. Il relie plus étroitement le comportement de décision du propriétaire foncier à cette utilisation
  • 2012
  • Evaluating competing hypotheses for the origin and dynamics of river anastomosis
  • Avulsion ; Bifurcation ; British Columbia ; Canada ; Chenal anastomosé ; Columbia ; Confluence ; Cours d'eau ; Géométrie hydraulique ; Modelé fluviatile ; Modèle ; Transport sédimentaire
  • Avulsion ; Bifurcation ; Braided channel ; British Columbia ; Canada ; Channel geometry ; Columbia ; Confluent ; Fluvial landform ; Model ; Sediment transport ; Stream
  • The AA. test hypotheses on morphodynamic scenario modelling and data of the upper Columbia River. Initial and boundary conditions for the modelling were derived from field data. A 1D network model was built based on gradually varied flow equations
  • from upstream, which can have caused channel aggradation above the surrounding floodplain and subsequent avulsion. The modelling also indicates that avulsion was likely caused by upstream overloading. In the model, multi-channel systems inevitably
  • 2012
  • tRIBS-Erosion: A parsimonious physically-based model for studying catchment hydro-geomorphic response
  • Arizona ; Bassin expérimental ; Bassin-versant ; Bilan sédimentaire ; Couvert végétal ; Ecoulement superficiel ; Erosion hydrique ; Etats-Unis ; Modèle ; Pente de versant ; Splash ; Transport sédimentaire
  • Arizona ; Experimental catchment ; Model ; Overland flow ; Plant canopy ; Sediment budget ; Sediment transport ; Slope gradient ; Splash ; United States of America ; Water erosion ; Watershed
  • (raindrop impact detachment, overland flow entrainment, and diffusive processes) and channel (erosion and deposition due to the action of water flow). In addition to the spatially distributed, dynamic hydrologic variables, the model computes the sediment
  • transport discharge and changes in elevation, which feedback to hydrological dynamics through local changes of terrain slope, aspect, and drainage network configuration. The model was calibrated for the Lucky Hills basin, a semi-arid watershed in the Walnut
  • The AA. propose a framework that integrates a geomorphic component into the physically-based and spatially distributed TIN-based Real-time Integrated Basin Simulator (tRIBS) model. The coupled model simulates main erosive processes of hillslopes
  • 2012
  • Dynamic model ; European part of Russia ; Forecast ; Hydrology ; Hydrometeorology ; Model ; Precipitation ; Runoff ; Saint Petersburg ; Stream
  • Cours d'eau ; Ecoulement ; Hydrologie ; Hydrométéorologie ; Modèle ; Modèle dynamique ; Précipitation ; Prévision ; Russie d'Europe ; Sankt-Peterburg
  • Analyse de la possibilité d’utilisation des modèles dynamiques du débit journalier pour les prévisions des variations des types d’écoulement. Les AA. présentent l’information prévisionnelle sous forme de cartes qui permettent de voir et de prévoir
  • 2012
  • Bifurcation ; Fluvial dynamics ; Numerical model ; Simulation ; Stream ; Stream flow ; Topography
  • Bifurcation ; Cours d'eau ; Dynamique fluviale ; Ecoulement fluvial ; Modèle numérique ; Simulation ; Topographie
  • The aim of this paper is to explore the interaction between bedform steered flow and bifurcation dynamics. The AA. present the predicted flow dynamics from the application of a Reynolds-averaged Navier–Stokes (RANS) model to a series of bifurcation
  • 2012
  • Spatiotemporal dynamics of electric power consumption in Chinese mainland from 1995 to 2008 modeled using DMSP/OLS stable nighttime lights data
  • China ; Electricity ; Energy ; Energy consumption ; Large city ; Spatial dynamics ; Spatial variation ; Temporality
  • Les AA. proposent un modèle de mesure des lumières nocturnes afin d’évaluer leur dynamique spatio-temporelle régionale en Chine. Ils expliquent que la plupart des régions connaissent une forte augmentation de leur consommation d’électricité
  • 2012
  • Coastal dynamics ; Coastal environment ; Model ; Numerical model ; Sea level ; Sediment transport ; Simulation
  • Dynamique littorale ; Littoral ; Modèle ; Modèle numérique ; Niveau marin ; Simulation ; Transport sédimentaire
  • This contribution takes a numerical modelling approach that is based on first-order processes contributing to the movement of sediment across the shoreface. Using a wave transformation model that predicts hydrodynamic processes driving cross-shore
  • sediment transport and an energetics-based model for the coupling between hydrodynamics and sediment transport, the AA. show that cross-shore sediment transport is mainly onshore directed at the boundary between the lower and the upper shoreface
  • , in agreement with the model proposed by Davidson-Arnott (Conceptual model of the effects of sea level rise on sandy coasts, Journal of Coastal Research 21 : 1166-1172, 2005). The transition from onshore to offshore directed transport is located well within
  • 2012
  • The challenge of modeling pool–riffle morphologies in channels with different densities of large woody debris and boulders
  • Boulder ; Channel geometry ; Fluvial dynamics ; Habitat ; Longitudinal section ; Model ; New England ; Step-pool channel ; Stream ; United States of America ; Woody debris
  • Bloc ; Bois flottant ; Chenal seuil-fosse ; Cours d'eau ; Dynamique fluviale ; Etats-Unis ; Géométrie hydraulique ; Habitat ; Modèle ; New England ; Profil longitudinal
  • A Monte Carlo simulation approach and developmental computer model was created to predict pool formation, spacing and the percentage length covered by pools, riffles, scour holes and runs based on input data that include channel slope, width
  • , the number of small and large boulders, and the number of 10-30 cm, 30-60 cm and >60 cm pieces of wood. The statistical-empirical model is founded on the idea that boulders, bedrock outcrops and large woody debris provide a physical framework
  • that then controls local water-surface slopes, velocity patterns and the locations of pools and riffles. The spacing values of individual types and sizes of obstructions are modeled as log-normal distributions with separate distributions for each obstruction type
  • . Pools are assigned different probabilities of development depending on the obstruction type. The model accurately mimics some statistical attributes of pool spacing, and future versions of the model could be developed to improve overall predictive
  • 2012
  • Three methods for modelling potential natural vegetation (PNV) compared : A methodological case study from south-central Norway
  • Biogeography ; Comparative study ; Cultivated land ; Cultural landscape ; Forest ; Human impact ; Humid environment ; Methodology ; Modelling ; Mountain ; Norway ; Southern Norway ; Vegetation dynamics ; Vegetation map
  • nature's biotic potential in the absence of human influence and disturbance, using 3 different modelling methods : (1) an expert-based manual modelling (EMM), (2) rule-based envelope GIS-modelling (RBM), and (3) a statistical predictive GIS-modelling method
  • (Maxent). The article compares the modelling results and shows that the 3 modelling methods have different advantages, challenges and preconditions.
  • 2012
  • On the use of remote sensing techniques for monitoring spatio-temporal soil organic carbon dynamics in agricultural systems
  • The first part of the paper reviews the methods, instruments and techniques used for developing predictive models for monitoring spatial SOC content. Secondly, sources of spatio-temporal SOC variations are examined, including the lateral transfer
  • predictions within a spatial framework. Such opportunities include the use of ancillary data, scale-specific methods, improved development of spectral libraries and better integration of RS technologies into empirical and simulation SOC models.
  • 2012
  • [a3] Inst. for Biodiversity and Ecosystem Dynamics, Univ., Amsterdam, Pays-Bas
  • Spatially explicit simulation of soil organic carbon dynamics in China's paddy soils
  • Années 1980-2008 ; Carbone ; Changement climatique ; Chine ; Effet de serre ; Espace-temps ; Modèle ; Propriétés du sol ; Riziculture ; Sol ; Sol cultivé ; Séquestration du carbone
  • Carbon ; Carbon sequestration ; China ; Climatic change ; Cultivated land ; Greenhouse effect ; Model ; Rice cultivation ; Soil ; Soil properties ; Space time
  • To reduce uncertainties from upscaling spatial processes of the DeNitrification-DeComposition (DNDC) model for improving the definition of China's paddy soils SOC stocks (0-30 cm) and their changes from 1980 to 2008, a soil polygon-based modeling
  • 2012
  • Dinamičeskaâ model' produkcionnogo processa kukuruzy s ispol'zovaniem sputnikovoj informacii i metody prognoza urožajnosti
  • Modèle dynamique de production du maïs à l’aide des données satellitaires et des méthodes de prévision des rendements
  • Agriculture ; Caucasus ; Crop yield ; Dynamic model ; European part of Russia ; Forecast ; Maize ; Remote sensing ; Satellite imagery ; Vegetation index
  • Agriculture ; Caucase ; Image satellite ; Indice de végétation ; Maïs ; Modèle dynamique ; Prévision ; Rendement agricole ; Russie d'Europe ; Télédétection
  • Présentation d’un nouveau modèle dynamique de production du maïs. Ce modèle a permis de créer 2 méthodes dynamico-statistiques de prévision des rendements agricoles du maïs avec et sans utilisation de l’information satellitaire (les indices NDVI de
  • 2012
  • Research perspectives on unstable high-alpine bedrock permafrost: measurement, modelling and process understanding
  • Climatic change ; Mass movement ; Model ; Mountain ; Periglacial features ; Permafrost ; Remote sensing ; Rockfall ; Slope dynamics ; Temperature ; World
  • Changement climatique ; Dynamique de versant ; Eboulement ; Modèle ; Monde ; Montagne ; Mouvement de masse ; Pergélisol ; Périglaciaire ; Température ; Télédétection
  • The AA. identify research needs in 4 major areas and at the interfaces between them : rock temperature measurement and modelling; remote sensing of rock walls; process understanding of rock mass instability; and flow propagation models of rock-ice
  • and transient thermal behaviour, coupled thermo-hydro-mechanical understanding, enhanced remote inventorying of rock wall instability and integrated approaches for a better understanding and modelling of mixed avalanches.
  • 2012
  • Un automate cellulaire pour expérimenter les effets de la proximité dans le processus d’étalement urbain : le modèle Raumulus
  • Modelling ; Proximity ; Town ; Urban dynamics ; Urban growth ; Urban morphology ; Urban network ; Urban sprawl ; Urbanization
  • Modèle de type automate cellulaire pour analyser le rôle de différents types de proximités sur le processus de croissance urbaine. Les simulations effectuées à partir de ce modèle montrent que la modification de trois variables (densité des zones
  • bâties, distance euclidienne de chaque cellule au réseau routier et distance réseau de chaque cellule au centre urbain) suffisent à faire émerger des formes et des structures variées, typiques de certains modèles de l’organisation de l’espace urbain
  • . Cette démarche permet de comprendre le rôle des proximités dans les dynamiques urbaines, afin de construire des modèles dans lesquels l’espace et ses propriétés topologiques jouent un rôle central dans l’évolution des systèmes urbains.
  • 2012
  • Analyzing and modeling the coverage of vegetation in the Qaidam Basin of China : the role of spatial autocorrelation
  • China ; Plant canopy ; Precipitation ; Qinghai ; Spatial autocorrelation ; Vegetation ; Vegetation dynamics
  • Les AA. analysent les relations entre la végétation et les facteurs environnementaux dans le bassin de Qaidam. A partir des données de précipitations, d’écoulement, de température et d’évaporation, ils proposent un modèle de couvert végétal. Les
  • 2012
  • Channel geometry ; Colorado ; Fluvial dynamics ; Grain size distribution ; Meander ; Model ; Rocky Mountains ; Sediment transport ; Shear stress ; Spatial distribution ; Stream ; Threshold ; United States of America
  • Colorado ; Colorado River ; Contrainte de cisaillement ; Cours d'eau ; Distribution spatiale ; Dynamique fluviale ; Etats-Unis ; Granulométrie ; Géométrie hydraulique ; Modèle ; Méandre ; Rocky Mountains ; Seuil ; Transport sédimentaire
  • Detailed topographic and hydraulic measurements were obtained in a bend of the Colorado River in Rocky Mountain National Park, Colorado, to characterize flow through the reach with a two-dimensional model. The distribution of excess shear stress
  • 2012
  • Biodiversity ; Climatic change ; Concept ; Ecosystem ; Environmental management ; Geodiversity ; Landscape ; Landscape dynamics ; Numerical model ; Scale ; Scotland ; United Kingdom
  • Biodiversité ; Changement climatique ; Concept ; Dynamique du paysage ; Echelle ; Ecosystème ; Gestion de l'environnement ; Géodiversité ; Modèle numérique ; Paysage ; Royaume-Uni ; Scotland
  • the landscape elements comprising geodiversity requires a dynamic approach to their management and conservation, with attention to their sensitivities to changes in climate, weather patterns and land management. Geodiversity is dependent on the scale of enquiry
  • interactions with the landscape is required, in parallel with the development of numerical modelling of form and process at a variety of scales.
  • 2012