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Oceanographic geographical features

21 record(s)
 
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  • INSPIRE compliant download service (ATOM) for geographic information of the Marine Spatial Plan made available by the Royal Belgian Institute for Natural Sciences (RBINS).

  • INSPIRE compliant download service (ATOM) for geographic information of the datasets of the Marine Strategic Framework Directive made available by the Royal Belgian Institute for Natural Sciences (RBINS).

  • INSPIRE compliant view service for geographic information of marine datasets made available by the Royal Belgian Institute for Natural Sciences (RBINS) in the IDOD (Integrated and Dynamical Oceanographic Database) database.

  • INSPIRE compliant view service for geographic information of the datasets of the Marine Strategic Framework Directive made available by the Royal Belgian Institute for Natural Sciences (RBINS).

  • INSPIRE compliant download service (WFS) for geographic information of the datasets of the Marine Strategic Framework Directive made available by the Royal Belgian Institute for Natural Sciences (RBINS).

  • This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 7, criterion 1. This dataset describes the impact of an offshore windmills farm on the hydrodynamics in the Belgian part of the North Sea (BPNS). Originally, it is a NetCDF file with the results of the reference simulation made with the COHERENS (COupled Hydrodynamical Ecological model for REgioNal Shelf seas) hydrodynamic model only forced by tides (no wind effect). Model resolution : ~ 12.5m. It contains both the reference situation which is a simulation without any windmill and the modeling result of the influence by the windmills on the hydrodynamic in the BPNS. The dataset contains the results on the most inner nested grid level for one reference spring-neap cycle: - hourly sea surface elevation - hourly bottom shear stress - hourly 3D horizontal velocity components (u,v) - hourly 3D eddy viscosity - time-averaged bottom shear stress over the reference spring-neap cycle - percentile 90 of the bottom shear stress for the reference spring-neap cycle - percentile 90 of the specific kinetic energy at the sea bed - accumulated time during which sedimentation processes are dominant - accumulated time during which re-suspension processes are dominant.

  • This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 5, criterion 1. This dataset contains the nutrient concentrations (ammonia, nitrate, nitrite, total nitrogen, phosphorus) measured on water samples taken in the BPNS between 2011 and 2016. The analysis of nutrients (N and P) is ensured by the national monitoring programme at ten sampling locations that are representative for the surrounding water masses. Based on all 2011-2016 results, the relationship with the salt content was calculated and, for each year, the value derived corresponding to a salt content of 33.5. The surface of the area where the nutrient concentrations exceed the respective thresholds was calculated on the basis of the relationship with the winter salt content and a climatology of the spatial distribution of the salt content (see annex D5 of the Belgian MSFD report). The resulting maps give a good overview of nutrient concentrations in the Belgian zone. In order to take into account the coastal-sea gradient and to illustrate the temporal trends in detail, the concentrations were also evaluated in three different areas of the BPNS: the coastal zone, the territorial zone and the open-sea zone. The long-term trends of nutrient concentrations in the three zones were assessed statistically.

  • This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 8, criterion 1. This dataset describes the contaminant concentrations in biota. The priority substances mercury, hexachlorobutadiene and hexachlorobenzene are measured in mussels and flounder in the BPNS. Results for other parameters that are part of the OSPAR Coordinated Environmental Monitoring Program are also included: polychlorinated biphenyls (PCBs), polycyclic aromatic hydrocarbons (PAHs), heavy metals, organotin-compounds and polybrominated diphenyl ethers (PBDEs) for the period 2011-2016. The analyses are performed by ILVO and KBIN-OD Nature that both participate in the Quasimeme ring tests for additional quality control. Bird eggs of 2008, 2010 and 2015 are measured for mercury (Hg), dichlorodiphenyltrichloroethane (DDT), hexachlorobenzene (HCB) and hexachlorocyclohexane (HCH). Eggs from the are measured and compared with OSPAR norms Common Tern (Sterna hirundo) are gathered in Zeebrugge and are analyzed by the Insitut für vogelforschung in Wilhelmshaven according to a standard protocol.

  • This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 9, criterion 1. The dataset contains the results of analyses on raw fish, mollusk and crustacean samples originating from the southern North Sea and the Channel and taken as part of the control programme by the Federal Agency for the Safety of the Food Chain. The analyzed substances are metals (cadmium, mercury and lead), dioxins and dioxin-like PCBs, PCBs, PAHs, Cesium 134 and Cesium 137.

  • This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 11, criterion 1. This dataset describes the impulsive noise generated during percussion pile emplacement for offshore wind farm construction and unexploded ordnance (UxO) explosions. Impulsive underwater sound (pressure) was measured during pile driving operations in Belgian waters, for different types of foundations (monopiles of different diameters, foundations of ducts with a smaller diameter) and hydraulic hammers with different energy powers. The results of measurements at Bligh Bank and Thornton Bank, with a resulting extrapolation of zero to peak noise level (Lz-p) at 750m and Sound Exposure Level (SEL) (no mitigation measures deployed), are presented (Norro et al., 2013).