Uncertainty-based assessment of tracer selection, tracer non-conservativeness and multiple solutions in sediment fingerprinting using synthetic and field data

Autor:	Stewart W. Franks, Daire O’hUallachain, John S. Rowan, Owen Fenton, Sophie C. Sherriff
Rok vydání:	2015
Předmět:	chemistry.chemical_classification Hydrology Stratigraphy Field data Fingerprint (computing) Transport pathways Sediment chemistry TRACER Range (statistics) Organic matter Biological system Selection (genetic algorithm) Geology Earth-Surface Processes
Zdroj:	Journal of Soils and Sediments. 15:2101-2116
ISSN:	1614-7480 1439-0108
Popis:	Purpose Modification of sediment properties used in fingerprinting applications occurs along transport pathways as a result of particle size and organic matter enrichment/depletion, and geochemical transformations. Statistical approaches have been widely used to correct for enrichment and depletion, but detection of, and the un-mixing errors and uncertainties that arise from non-conservative behaviour remains under-recognised. Additionally, the over-determined nature of sediment fingerprint un-mixing models results in a range of potential solutions which are yet to be formally assessed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::927315c0deba1f8e0b42f67765a3d317 https://doi.org/10.1007/s11368-015-1123-5 Zobrazit plný text záznamu Full text from SpringerLink