2024-03-28T22:20:05Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1009972022-05-26T10:49:46Zcom_10261_75com_10261_6col_10261_454
00925njm 22002777a 4500
dc
Palazón Tabuenca, Leticia
author
Gaspar Ferrer, Leticia
author
Latorre Garcés, Borja
author
Blake, William H.
author
Navas Izquierdo, Ana
author
2014-04
The ability of
geochemical fingerprint properties to discriminate between the sediment sources was investigated by conducting
the nonparametric Kruskal-Wallis H-test and a stepwise discriminant function analysis (minimization of Wilk’s
lambda). This standard procedure selects potential fingerprinting properties as optimum composite fingerprint to
characterize and discriminate between sediment sources to the reservoir. Then the contribution of each potential
sediment source was assessed by applying a Monte Carlo mixing model to obtain source proportions for the Bara-
sona reservoir sediment samples
EGU General Assembly (Viena, Austria. 27 April-2 May 2014)
Geophysical Research Abstracts 16: EGU2014-12771 (2014)
http://hdl.handle.net/10261/100997
A fingerprinting mixing model approach to generate uniformly representative solutions for distributed contributions of sediment sources in a Pyrenean drainage basin