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Title: Sediment fingerprinting in fluvial systems: review of tracers, sediment sources and mixing models
Contributor(s): Haddadchi, Arman (author); Ryder, Darren  (author); Evrard, Olivier (author); Olley, Jon (author)
Publication Date: 2013
DOI: 10.1016/S1001-6279(14)60013-5
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Abstract: Suspended sediments in fluvial systems originate from a myriad of diffuse and point sources, with the relative contribution from each source varying over time and space. The process of sediment fingerprinting focuses on developing methods that enable discrete sediment sources to be identified from a composite sample of suspended material. This review identifies existing methodological steps for sediment fingerprinting including fluvial and source sampling, and critically compares biogeochemical and physical tracers used in fingerprinting studies. Implications of applying different mixing models to the same source data are explored using data from 41 catchments across Europe, Africa, Australia, Asia, and North and South America. The application of seven commonly used mixing models to two case studies from the US (North Fork Broad River watershed) and France (Bléone watershed) with local and global (genetic algorithm) optimization methods identified all outputs remained in the acceptable range of error defined by the original authors. We propose future sediment fingerprinting studies use models that combine the best explanatory parameters provided by the modified Collins (using correction factors) and Hughes (relying on iterations involving all data, and not only their mean values) models with optimization using genetic algorithms to best predict the relative contribution of sediment sources to fluvial systems.
Publication Type: Journal Article
Source of Publication: International Journal of Sediment Research, 28(4), p. 560-578
Publisher: Guoji Nisha Yanjiu Zhongxin
Place of Publication: China
ISSN: 1001-6279
Fields of Research (FoR) 2008: 060204 Freshwater Ecology
040608 Surfacewater Hydrology
050205 Environmental Management
Fields of Research (FoR) 2020: 310304 Freshwater ecology
370704 Surface water hydrology
410404 Environmental management
Socio-Economic Objective (SEO) 2008: 961103 Physical and Chemical Conditions of Water in Fresh, Ground and Surface Water Environments (excl. Urban and Industrial Use)
960506 Ecosystem Assessment and Management of Fresh, Ground and Surface Water Environments
Socio-Economic Objective (SEO) 2020: 180306 Measurement and assessment of freshwater quality (incl. physical and chemical conditions of water)
180502 Assessment and management of pelagic marine ecosystems
180501 Assessment and management of benthic marine ecosystems
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article

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