Water Resources Research · 1987 · 71 citations · 19 references
Natural ResourcesEarth SciencesHydrologyChannel ManagementProbability TheoryStochastic ModelingChannel MorphodynamicsDrainage Network HydraulicsRiver EngineeringRiver HydraulicsStochastic NetworksBasin Area RelationshipsChannel Hydraulic GeometryChannel HydraulicsChannel Network AnalysisLink Length ModelingLink Length ParametersRiver Channel MorphodynamicsStatistical Channel Modeling
Motivated by the empirical relationship between the main channel length and the basin area for river networks, a similar equation is derived analytically using the random model postulates and the additional assumption that link lengths have a common exponential probability distribution. Specifically, it is shown that in networks with large magnitude m , the main channel length l(m) , and the magnitude are related by l(m) ∼ β (2π) ½ (2π) ½ , where β is mean link length. This result is utilized to explain another empirical relationship between the distance to the center of gravity l c (m) and the main channel length; l c (m) ∼ l(m) /2. The observed deviations of the random model prediction regarding the main channel length from empirical observations is used to discuss some important open problems.
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Studies of longitudinal stream profiles in Virginia and Maryland
John T. Hack · USGS professional paper · 1957 · 1.6K citations · Full text
Statistical Law of Stream Numbers
Ronald L. Shreve · The Journal of Geology · 1966 · 946 citations
Infinite Topologically Random Channel Networks
Ronald L. Shreve · The Journal of Geology · 1967 · 518 citations