today fingerprinting techniques are increasingly adopted as an alternative and more direct and reliable means of assembling sediment source information. one of the principal assumptions of sediment fingerprinting is that potential catchment sediment sources can be distinguished on the basis of their physical, geochemical and biological properties or fingerprint properties. however, while the so...

to identify critical sediment sources in large catchments, using easily available terrain information at a regionalscale, a methodology was developed to obtain a qualitative assessment necessary for environmental management.fargas et al method was employed in the research. the study was carried out in one of the sub-basins of hableh roodbasin called dehnamak in the arid and semiarid climate of ...

Amazon, 21, 24, 378–379 overbank, crevasses processes, 25 physical and biogeochemical processes, 92 plume dispersals, 55 sediment accumulation rates, 91 subaqueous delta clinoform system, 91–96 tidal-regime changes, sediment dynamics model, 92–94 Arctic Ocean, riverine organic and inorganic carbon fluxes, processing, fate acids to aldehydes ratios, 534–535 aragonite undersaturation, 542–543 Arc...

sediment fingerprinting is a method for identifying sediment sources and determining the rate of contribution of each source. in this method, the natural tracer technology is used, that combined from samples collection, laboratory analyzing and statistical modeling. the natural tracers are measured in both the sources and suspended sediment to determine the rate of contribution each sources. th...

uncertainty associated with mixing models is often substantial, but has not yet been fully incorporated in models. the objective of this study is to develop and apply a bayesian-mixing model that estimates probability distributions of source contributions to a mixture associated with multiple sources for assessing the uncertainty estimation in sediment fingerprinting in zidasht catchment, iran....

Uncertainty associated with mixing models is often substantial, but has not yet been fully incorporated in models. The objective of this study is to develop and apply a Bayesian-mixing model that estimates probability distributions of source contributions to a mixture associated with multiple sources for assessing the uncertainty estimation in sediment fingerprinting in Zidasht catchment, Iran....