62 resultados para Spectral distribution


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Determinations were made of contents of carbon, lipids, nitrogen and, in some material, protein, carbohydrates, elementary composition of lipids and their spectral composition in total plankton samples from different depths (from the surface to 3000 m) and in several species of macroplanktonic deep-water crustaceans (decapods and mysids) living at different depths. Content of organic carbon and lipids in total plankton is high (40 to 60 and 35 to 70% of dry weight, respectively) and it does not change significantly with increasing depth. Deep-water macroplanktonic crustaceans have extremely high content of organic carbon and lipids, but there are no significant differences in this respect between species that live in different layers of the deep-water zone. Elementary composition of lipids indicates that they are highly saturated, with a marked predominance of unsaponifiable fraction, about 20% of which consists of methane hydrocarbons.

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Bedforms both reflect and influence shallow water hydrodynamics and sediment dynamics. A correct characterization of their spatial distribution and dimensions is required for the understanding, assessment and prediction of numerous coastal processes. A method to parameterize geometrical characteristics using two-dimensional (2D) spectral analysis is presented and tested on seabed elevation data from the Knudedyb tidal inlet in the Danish Wadden Sea, where large compound bedforms are found. The bathymetric data were divided into 20x20 m areas on which a 2D spectral analysis was applied. The most energetic peak of the 2D spectrum was found and its energy, frequency and direction were calculated. A power-law was fitted to the average of slices taken through the 2D spectrum; its slope and y-intercept were calculated. Using these results the test area was morphologically classified into 4 distinct morphological regions. The most energetic peak and the slope and intercept of the power-law showed high values above the crest of the primary bedforms and scour holes, low values in areas without bedforms, and intermediate values in areas with secondary bedforms. The secondary bedform dimensions and orientations were calculated. An area of 700x700 m was used to determine the characteristics of the primary bedforms. However, they were less distinctively characterized compared to the secondary bedforms due to relatively large variations in their orientations and wavelengths. The method is thus appropriate for morphological classification of the seabed and for bedform characterization, being most efficient in areas characterized by bedforms with regular dimensions and directions.