Quantitative sediment fingerprinting using a Bayesian uncertainty estimation framework

IAHS-AISH Publication

Volumn , Issue 276, 2002, Pages 443-450

  Small, Ingrid F ^a   Rowan, John S ^a   Franks, Stewart W ^a  

^a UNIVERSITY OF DUNDEE   (United Kingdom)

Author keywords

Bayesian framework; Fingerprinting; Sediment source; Suspended sediment; Uncertainty estimation

Indexed keywords

CATCHMENTS; EROSION; NUMERICAL METHODS; SAMPLING;

FINGERPRINTING;

SEDIMENTS;

BAYESIAN ANALYSIS; PHYSICOCHEMICAL PROPERTY; PROVENANCE; SUSPENDED SEDIMENT; TRACER; UNCERTAINTY ANALYSIS;

EID: 0036374826     PISSN: 01447815     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. Source type ascription for fluvial suspended sediment based on a quantitative composite fingerprinting technique
2. Use of composite fingerprints to determine the provenance of the contemporary suspended sediment load transported by rivers
3. Natural magnetic tracers in fluvial geomorphology
4. Effective and efficient global optimization for conceptual rainfall-runoff models
5. Tracers in geomorphology: Theory and applications in tracing fine particulate sediments
6. Multi-parameter fingerprinting of sediment sources: Uncertainty estimation and tracer selection
7. Source apportionment of lake sediments to watersheds in an upper Mississippi basin using chemical mass balance method
8. Mineral magnetic properties of mixtures of environmental and synthetic materials: Linear additivity and interaction effects
9. How many observations are needed for regional estimation of soil properties?
10. Delivery of suspended sediment and pollutants from nonpoint sources during overland flow
11. Identification of suspended sediment sources by means of magnetic measurements: Some preliminary results
12. Provenance of fine-grained alluvium and late Holocene land-use change in the Tyne basin, northern England
13. Uncertainty estimation in fingerprinting suspended sediment sources
14. Use of fallout radionuclides as indicators of erosion processes
15. A multi-parameter approach to fingerprinting suspended-sediment sources
16. A multi-variate mixing model for identifying sediment source from magnetic measurements
17. Quantitative sediment source ascription using magnetic measurements in a reservoir-catchment system near Nijar, S.E. Spain