The problem of scaling in grid-related hydrological process modelling
Hydrological ProcessesPublished 1 July 1997
Peter Braun, Tibor Molnár, Hans‐B. Kleeberg
Citations32
SJR quartileQ1
SJR score0.95
SNIP0.89
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
This article shows some important scaling aspects that exist in hydrological process grid modelling with GIS, with respect to selecting the optimal grid width. Hydrologically relevant space parameter fields should often be regarded as self-similar fractals for which certain invariance characteristics are applied. These characteristics are especially important if there is an extensive change in the model grid width. The self-similarity generates simple scaling laws, which can be used for rescaling procedures. © 1997 John Wiley & Sons, Ltd.
Keywords
Environmental Science
Hydrological Sciences BulletinA physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant
6,647 Citations1979Keith Beven, M. J. Kirkby
Water Resources ResearchDigital elevation model grid size, landscape representation, and hydrologic simulations
823 Citations1994Weihua Zhang, David R. Montgomery
Water Resources ResearchEffects of digital elevation model map scale and data resolution on a topography‐based watershed model
398 Citations1994David M. Wolock, Curtis Price
Water Resources ResearchMultiscaling theory of flood peaks: Regional quantile analysis
207 Citations1994Vijay K. Gupta, Óscar J. Mesa +1 more
Journal of HydrologyPhysical interpretation and sensitivity analysis of the TOPMODEL
202 Citations1996Marco Franchini, Jacques Wendling +2 more
Water Resources ResearchA moving window semivariance estimator
44 Citations1994Dachang Li, Larry W. Lake
