Persistence of skewness in longitudinal dispersion data: Can the dead zone model explain it after all?

Journal of Hydraulic Engineering

Volumn 128, Issue 9, 2002, Pages 848-854

  Schmid, Bernhard H ^a,b  

^a ASCE ^*  (Austria)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Data analysis; Dispersion; Models; Skewness; Solutes

Indexed keywords

TRANSIENT STORAGE (TS); DEAD-ZONE MODELS; DISPERSION DATA; FIELD STUDIES; FLOW DIRECTION; LONGITUDINAL DISPERSIONS; SKEWNESS; SKEWNESS COEFFICIENTS; SOLUTE; TRANSIENT STORAGE; TRANSIENT STORAGE MODEL;

FLOW OF WATER; IMPURITIES; NUMERICAL METHODS; RIVERS; HIGHER ORDER STATISTICS;

HYDRAULICS; DIGITAL STORAGE;

DISPERSION; FLOW MODELING; POLLUTANT TRANSPORT; RIVER; STREAM; TRACER;

DISPERSION; FLOW MODELING; POLLUTANT TRANSPORT; RIVER FLOW; SKEWNESS; TRACER;

GASTROPODA;

EID: 0036733112     PISSN: 07339429     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0733-9429(2002)128:9(848)     Document Type: Article

References (10)

1. Simulation of solute transport in a mountain pool-and-riffle stream: A transient storage model
2. Properties of the deadzone model of longitudinal dispersion in rivers
3. Experimental and numerical validation of the dead-zone model for longitudinal dispersion in rivers
4. Dispersion model for mountain streams
5. Longitudinal dispersion in rivers: The persistence of skewness in observed data
6. On the transient storage equations for longitudinal solute transport in open channels: Temporal moments accounting for the effects of first-order decay
7. Analytic solution of the transient storage equations accounting for solute decay
8. Moment-based calculation of parameters for the storage zone model for river dispersion
9. Comparison of models for transient storage of solutes in small streams