1980
DOI: 10.1029/wr016i001p00123
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Longitudinal dispersion in rivers: The persistence of skewness in observed data

Abstract: For some selected field studies of longitudinal dispersion the variances of observed concentration distributions increase linearly with time, as predicted by solutions to the one‐dimensional Fickian‐type diffusion equation. However, observed values of the skewness coefficient are almost constant, so deviations from the theoretical values become greater with increasing time. The usual assumption that concentration distributions converge to the Gaussian solution of the one‐dimensional diffusion equation is not s… Show more

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Cited by 168 publications
(145 citation statements)
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“…Under steady streamflow conditions the degree of exchange can depend on factors such as bedslope irregularities and form, channel curvature, and permeability of bed and bank materials [17][18][19]. The degree of asymmetry can be assessed statistically by measuring skewness of the concentration curve [20].…”
Section: Cross-channel Distribution Of Tracer Peak Arrival and Tailinmentioning
confidence: 99%
“…Under steady streamflow conditions the degree of exchange can depend on factors such as bedslope irregularities and form, channel curvature, and permeability of bed and bank materials [17][18][19]. The degree of asymmetry can be assessed statistically by measuring skewness of the concentration curve [20].…”
Section: Cross-channel Distribution Of Tracer Peak Arrival and Tailinmentioning
confidence: 99%
“…Nordin & Troutman, 1980;Bencala & Walters, 1983;Czernuszenko & Rowinski, 1997;Worman, 2000), but they require estimation of too many parameters to be used efficiently for ungauged reaches.…”
Section: Modelling Approachmentioning
confidence: 99%
“…This model is traditionally developed by deriving the 1-D mass balance equation with source term in the form (e.g. Nordin & Troutman, 1980;Czernuszenko & Rowiński, 1997):…”
Section: Background Theorymentioning
confidence: 99%
“…This paper concerns the analyses that are based on the concept of storage zone models, an approach that accounts for the existence of stagnant zones of river water that are stationary relative to the faster moving waters near the centre of the channel (Nordin & Troutman, 1980;Bencala & Walters, 1983;Hart, 1995;Czernuszenko & Rowiński, 1997;De Smedt et al, 2005;Guymer & Dutton, 2005).…”
Section: Introductionmentioning
confidence: 99%