37 resultados para sversamenti, rilasci, mare, olio, petrolio, idrocarburi, rischio, contaminazione ambientale
em Publishing Network for Geoscientific
Resumo:
The Poluare 1982-1983 dataset contains zooplankton data collected allong 7 transect in front of the Romanian littoral. Zooplankton sampling was undertaken at 14 stations where samples were collected using a Juday closing net in the 0-2m layer . The dataset includes samples analysed for mesozooplankton species composition and abundance. Sampling volume was estimated by multiplying the mouth area with the wire length. Total biomass was estimated using a tabel with wet weight for each species an stage. Taxon-specific mesozooplankton abundance was counted under the microscope.
Resumo:
Dataset containing macrobenthos data for samples collected during April 2008 in the North-West Black Sea (between 44°46' - 43°45' N latitude and 30° 11' - 29°35' E longitude). Macrobenthos sampling was done in 4 stations using a 0.14 m**2 Van Veen grab. Washing of the sample through two sieves - 1 mm and 0.25 mm mesh size; the material retained by the two sieves was examined at the binocular microscope; all animals were extracted, using fine tweezers and the species or group of species were identified and counted (in order to determine the density of populations); the larger organisms were measured and weighed (structure and biomass); for smaller organisms, the average wet weights inscribed in standard tables were used to calculate the biomass. Taxonomic identification was done at the GeoEcoMar by A. Teaca and T. Begun using the relevant taxonomic literature (Key-book for the identification of the Black Sea and Sea of Azov Fauna, 1968 -1972, Kiev - in Russian, V 1-4; BACESCU, M.C., MÜLLER, G. I., GOMOIU, M.-T., 1971 and BACESCU, M.C., MÜLLER, G. I., GOMOIU, M.-T., 1971-Benthic ecological research to Black Sea. Comparative quantitative and qualitative analyse of pontic benthic fauna. Marine Ecology, 4, 1-357 (in Romanian).
Resumo:
Dataset containing meiobenthos data for samples collected during the September 2008 Sesame Cruise in the North-West Black Sea on board of the Romanian R/V Mare Nigrum. Meiobenthos samples were collected in 5 stations, using a multicorer MARK II-400. The dataset includes 5 samples analysed for meiobenthos species composition, abundance and biomass. The entire washed sample was analyzed under the binocular stereomicroscope. Meiobenthic species were identified and enumerated; some meiobenthic species were identified and enumerated only at higher taxonomic level. Taxonomic identification was done at GEOECOMAR.
Resumo:
Dataset containing meiobenthos data for samples collected during the September 2008 Sesame Cruise in the North-West Black Sea on board of the Romanian R/V Mare Nigrum. Meiobenthos samples were collected in 5 stations, using a multicorer MARK II-400. The dataset includes 5 samples analysed for meiobenthos species composition, abundance and biomass. The entire washed sample was analyzed under the binocular stereomicroscope. Meiobenthic species were identified and enumerated; some meiobenthic species were identified and enumerated only at higher taxonomic level. Taxonomic identification was done at GEOECOMAR.
Resumo:
The SESAME dataset contains mesozooplankton data collected during April 2008 in the North-Western part of Black Sea (between 44°46' N and 42°29'N latitude and 28°64'E and 30°59'E longitude). Mesozooplankton sampling was undertaken at 9 stations where samples were collected using a Hensen net in the 0-10, 10-25, 25-50, 50-100, 100-150, 150-200 m layer. The dataset includes 29 samples analysed for mesozooplankton species composition and abundance. The entire sample or an aliquot (1/2 to 1/4) was analyzed under the binocular microscope. Calculations of zooplankton abundance are made by the following formulae, in accordance with the Report of the third ICES/HELCOM workshop on quality assurance of Biological measurements Warnemünde, Germany, 1996. M - number of counted specimens (ind.), Vf - volume of filtrated water (m³), and K - counted part of sample. (http://www2008.io-warnemuende.de/research/helcom_zp/documents/qa_zp_part.pdf)
Resumo:
Dataset containing macrobenthos data for samples collected during September 2008 in the North-West Black Sea (between 44°46' - 43°45' N latitude and 30° 11' - 29°35' E longitude). Macrobenthos sampling was done in 4 stations using a 0.14 m**2 Van Veen grab. Washing of the sample through two sieves - 1 mm and 0.25 mm mesh size; the material retained by the two sieves was examined at the binocular microscope; all animals were extracted, using fine tweezers and the species or group of species were identified and counted (in order to determine the density of populations); the larger organisms were measured and weighed (structure and biomass); for smaller organisms, the average wet weights inscribed in standard tables were used to calculate the biomass. Taxonomic identification was done at the GeoEcoMar by A. Teaca and T. Begun using the relevant taxonomic literature ( "Key-book for the identification of the Black Sea and Sea of Azov Fauna, 1968 -1972, Kiev - in Russian, V 1-4; BACESCU, M.C., MÜLLER, G. I., GOMOIU, M.-T., 1971). BACESCU, M.C., MÜLLER, G. I., GOMOIU, M.-T., 1971-Benthic ecological research to Black Sea. Comparative quantitative and qualitative analyse of pontic benthic fauna. Marine Ecology, 4, 1-357 (in Romanian). Key-book for the identification of the Black Sea and Sea of Azov Fauna, 1968 -1972, Kiev, V. 1-4 (in Russian).
Resumo:
For a reliable simulation of the time and space dependent CO2 redistribution between ocean and atmosphere an appropriate time dependent simulation of particle dynamics processes is essential but has not been carried out so far. The major difficulties were the lack of suitable modules for particle dynamics and early diagenesis (in order to close the carbon and nutrient budget) in ocean general circulation models, and the lack of an understanding of biogeochemical processes, such as the partial dissolution of calcareous particles in oversaturated water. The main target of ORFOIS was to fill in this gap in our knowledge and prediction capability infrastructure. This goal has been achieved step by step. At first comprehensive data bases (already existing data) of observations of relevance for the three major types of biogenic particles, organic carbon (POC), calcium carbonate (CaCO3), and biogenic silica (BSi or opal), as well as for refractory particles of terrestrial origin were collated and made publicly available.