871 resultados para Anselmo, Santo, ob. de Canterbury, 1033-1109
Resumo:
Phytoplankton biomass distribution (chlorophyll a, chl. a) and species composition (cell numbers) were investigated during three expeditions to the Kara Sea with "Akademik Boris Petrov" (BP) in 1997, 1999, and 2000. The distribution of biomass in the estuaries of Ob and Yenisei showed a similar range in 1997 (0.2 to 3.2 µg/l) and 2000 (0.4 to 3.5 ug/l); higher chl. a concentrations during these two years were found in Yenisei than in Ob. In 1999, phytoplankton biomass in the Ob and Ob Estuary was much higher than in 1997 and 2000, with maximum values above 10.0 ug chl. a/l. In 1999, biomass in Yenisei was lower (1.5 to ~5 ug/l) than in Ob but slightly higher than in 1997 and in 2000. During the expedition in 2000, the research area extended farther to the north, here, lowest phytoplankton biomass during all three years was found. Typical summer values for integrated chl.a biomass (surface to bottom) ranged between 6 and 20 mg m**-2. Strong differences existed in species composition in both rivers, the estuaries, and the open Kara Sea. In general, three or four different populations could be distinguished in surface waters: (1) freshwater diatoms together with bluegreen algae in both rivers, (2) centric and small pennate diatoms mainly brackish species in the estuaries, (3) north of 74°N, brackish/marine species dominated, i.e. in 1999 Thalassiosira cfpunctigera and Chaetoceros spp prevailed in the phytoplankton bloom in Ob. (4) At the northernmost, almost marine stations, a region with a more heterogeneous composition of unicellular plankton was encountered. We assume, we found different seasonal signals of phytoplankton development during 1997/2000 and 1999, respectively. However, the yearly fluctuation of freshwater runoff of both rivers seems to have the strongest influence on the timing and duration of phytoplankton blooms, species compositions and biomass standing stocks during summer.
Resumo:
Complex geological-geochemical studies of water column and bottom sediments were carried out during Cruise 49 of R/V "Dmitry Mendeleev" in the Kara Sea shelf zone along the Obskaya Guba (Ob River estuary) from the Pur River and Taz River mouths to 76°N. Carbon-14 concentrations in organic matter from bottom sediments were determined at 5 stations. Constant initial 14C concentration model was used to determine sedimentation rates that were taken as a basis for calculating ages of sediment cores and their separate parts and for inferring location of a depocenter, i.e. a region of maximal discharge of fine-dispersed fraction of suspended matter of river run-off. Sedimentation rate in the depocenter is 170 cm/ka. Southward moves of the depocenter were recorded for periods of sea-level rises 2 and 5 thousand years ago. Bottom sediments in the depocenter contain 45% of organic matter primary produced in the Obskaya Guba. This organic matter is an energetic basis for bottom fauna life. About 55% of organic matter comes with river run-off.
Resumo:
According to data from Cruise 54 of R/V Akademik Mstislav Keldysh (September 2007) results of geochemical studies of redox processes in bottom sediments from the Ob River mouth area as applied to redox indicator elements (such as manganese, iron, and sulfur) are presented. Parameters of bottom sediments and distribution of these elements evidence not only a significant role of mixing processes at an geochemical profile of bottom sediments in the estuary but also a role of postsedimentation (diagenetic) processes.
Resumo:
Monitoring the impact of sea storms on coastal areas is fundamental to study beach evolution and the vulnerability of low-lying coasts to erosion and flooding. Modelling wave runup on a beach is possible, but it requires accurate topographic data and model tuning, that can be done comparing observed and modeled runup. In this study we collected aerial photos using an Unmanned Aerial Vehicle after two different swells on the same study area. We merged the point cloud obtained with photogrammetry with multibeam data, in order to obtain a complete beach topography. Then, on each set of rectified and georeferenced UAV orthophotos, we identified the maximum wave runup for both events recognizing the wet area left by the waves. We then used our topography and numerical models to simulate the wave runup and compare the model results to observed values during the two events. Our results highlight the potential of the methodology presented, which integrates UAV platforms, photogrammetry and Geographic Information Systems to provide faster and cheaper information on beach topography and geomorphology compared with traditional techniques without losing in accuracy. We use the results obtained from this technique as a topographic base for a model that calculates runup for the two swells. The observed and modeled runups are consistent, and open new directions for future research.