Titlebook: Micro-XRF Studies of Sediment Cores; Applications of a no Ian W. Croudace,R. Guy Rothwell Book 2015 Springer Science+Business Media Dordrec

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Combined μ-XRF and Microfacies Techniques for Lake Sediment Analysespotential of counting varves using the seasonal signature of specific elements is discussed and potential error sources are disclosed by comparison with microscopic varve counts. Detailed grid- μXRF-scanning provides for the first time an insight into the internal structure of varves presented as hi

Firefly

Experiences with XRF-Scanning of Long Sediment Records different X-ray tube current settings. From the tested normalisation procedures a division of element raw intensities by the intensity of coherent radiation (coh) yielded the best results for elements with mid to high atomic numbers. However, elements with low atomic numbers are less affected by a

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X-Ray Core Scanners as an Environmental Forensics Tool: A Case Study of Polluted Harbour Sediment (Ale pollution chronologies based on elemental and radiochronological (.Cs) profiles. The declared motivation for the main project was to acquire scientific evidence that could be used to support a legal investigation against the industries that caused the pollution and who could potentially be expect

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Modern Pollution Signals in Sediments from Windermere, NW England, Determined by Micro-XRF and Lead of up-system sediment traps have limited the amount of mining related heavy metals entering Windermere, and as a result, periods of metal workings do not correlate with peaks in heavy metals. Increases could also be due to flood-induced metal inwash or weathering of bedrock in the catchment. Applic

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Book 2015uctively and automatically scan sediment cores. Not only do they rapidly provide important proxy data without damaging samples, but they can obtain environmental data at decadal, annual and even sub-annual scales. This volume will help both experienced and new users of these non-destructive core sca

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te programming, interval-gradients and Bezier polynomials arNonlinearoptimizationproblemscontainingbothcontinuousanddiscretevariables are called mixed integer nonlinear programs (MINLP). Such problems arise in many ?elds, such as process industry, engineering design, communications, and ?nance. Ther

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Isabel Rodríguez-Germade,Belén Rubio,Daniel Rey,Federico Vilas,Carmen F. López-Rodríguez,Maria Carmemany ?elds, such as process industry, engineering design, communications, and ?nance. There is currently a huge gap between MINLP and mixed integer linear programming(MIP) solvertechnology.With a modernstate-of-the-artMIP solver itispossibletosolvemodelswithmillionsofvariablesandconstraints,whereast