The full list of projects contains the entire database hosted on this portal, across the available directories. The projects and activities (across all directories/catalogs) are also available by country of origin, by geographical region, or by directory.
The general objective of this research concerns the quantitative and qualitative study of particulate matter retained in natural (sea-ice and sediment) and artificial (sediment traps) traps in order to determine the main origin (autochtonous and allochtonous) and the relative importance of different fractions of particulate matter and to follow their fate in the environment. To quantify the autochtonous origin of particulate matter, primary production, nutrient uptake, biomass distribution, phytoplankton community structure and fluxes in the first levels of the trophic chain will be investigated. Studies will be conducted in the sea-ice environment and in the water column and compared to the particle fluxes measured both in the water, using sediment traps and in the sediment, by radiometric chronology, in order to estimate the different contribution of these habitats to carbon export to the bottom. The zooplankton will be identified and counted and primary production, nutrient uptake and phytoplankton dynamics will be related to hydrological structure and nutrient availability in the environment. The Kongsfjord results particularly suitable for the main objective of this research as it is influenced by important inputs of both atmospheric (eolic and meteroric) and glacial origin and is characterised by a complex hydrological situation which may promote autochtonous productive processes, thus determining important particulate fluxes.
EARLINET will establish a quantitative comprehensive statistical database of the horizontal, vertical, and temporal distribution of aerosols on a continental scale. The goal is to provide aerosol data with unbiased sampling, for important selected processes, and air-mass history, together with comprehensive analyses of these data. The objectives will be reached by implementing a network of 21 stations distributed over most of Europe, using advanced quantitative laser remote sensing to directly measure the vertical distribution of aerosols, supported by a suite of more conventional observations. Special care will be taken to assure data quality, including intercomparisons at instrument and evaluation levels. A major part of the measurements will be performed according to a fixed schedule to provide an unbiased statistically significant data set. Additional measurements will be performed to specifically address important processes that are localised either in space or time. Back-trajectories derived from operational weather prediction models will be used to characterise the history of the observed air parcels, accounting explicitly for the vertical distribution.
The overall objective of COSE is to provide the Earth Observation (EO) user community with a validated, consistent and well-documented data set of mainly stratospheric constituent columns and/or profiles, by co-ordination of ground-based observations at existing stations in Europe. The data set builds on past and ongoing time series, and will be archived in a dedicated database for immediate and future exploitation, e.g., satellite validation activities, data assimilation and scientific studies. Active participation of some representative EO customers will assure that the delivered data sets come up to their requirements.
Project Description: - Landform mapping of the periglacial and glacial structures using remote sensing / aerial photography and field observation - Genetic studies of ground ice using geochemical and stable isotope techniques - Studies of microbial life in extreme periglacial environment
1. Establish a network to measure environmental change in marine waters by undertaking long-term research and monitoring 2. Maintain and enhance existing long-term research programmes 3. Restart important discontinued long-term research programmes 4. Develop a quality controlled database of long-term marine data series 5. Deliver and interpret long-term and broad scale contextual information to inform water quality monitoring 6. Demonstrate the benefits of preserving and networking long-term time series programmes
1. To develop a deep water observation system 2. Detailed design document, workplan and risk register and reviewed and agreed by steering group, procurement of components. 3. Deep water tests of acoustic communications system performed. pilot data dissemination and archival system. Dry test DWOS -1 4. Deployment in near lab test environment eg. Dunstaffnage bay with regular inspections. Collect, analyse, disseminate and archive sensor and house keeping data 5. Deploy in exposed but coastal stratified site in western Irish Sea, with two visual inspections. Collect, analyse, disseminate and archive sensor and house keeping data. Liaison with Met Office regarding deployment logistics. 6. Six months Deployment at Deep Water site; Collect, analyse, disseminate and archive sensor and house keeping data; Distribute data to customers. Revisit mooring site after six months recover and redeploy. 7. Final Technical Report and Final Project Report: Second six months Deployment at Deep Water site (as decreed by steering group); Collect, analyse, disseminate and archive sensor and house keeping data. Analysis of complete data handling chain performed; impact of data on customer base assessed, recommendations for continuance of DWOS as an operational system.
1. To provide detailed oceanographic support and navigation trials in the Western Mediterranean
SAGE III was successfully launched on 10. Dec. 2001 on a Russian M3 rocket. It provides accurate data of aerosols, water vapour, ozone, and other key parameters of the earth's atmosphere. The science team of the SAGE III experiment at NASA has nominated the Koldewey-Station as an anchor site to contribute within the Data Validation Plan as part of the Operational Surface Networks. Data directly relevant to the SAGE III validation are aerosol measurements by photometers and lidar, as well as temperature measurements and ozone profiling by balloon borne sondes, lidar and microwave radiometer. Data will be provided quasi online for immediate validation tasks.
The Submarine Operational And Research Environmental Database (SOARED)is comprised of a fixed relational environmental database using unclassified data collected during the Science Ice Exercises (SCICEX) during the past several years. It also includes publicly accessible gridded historical sound velocity, temperature and salinity data from 1900 from the US National Oceanographic Data Center. This project is a demonstration system to show ways to retrieve and analyze sound velocity, temperature and salinity profiles, bathymetry and ice thickness data using a mouse-driven GIS-based query.
A proposal has been submitted to the National Science Foundation titled: For Support of the Arctic Social Science Data Center at NSIDC, OPP-0119836.
The Collaborative Interdisciplinary Cryospheric Experiment (C-ICE) is a multi-year field experiment that incorporates many individual projects, each with autonomous goals and objectives. The science conducted has directly evolved from research relating to one of four general themes: i. sea ice energy balance; ii. numerical modeling of atmospheric processes; iii. remote sensing of snow covered sea ice; and iv. ecosystem studies.
Brief: Assessment of the significance of aquatic food chains as a pathways of exposure of indigenous peoples to PTS, assessment of the relative importance of local and distant sources, and the role of atmospheric and riverine transport of PTS in Northern Russia. Project rationale and objectives: (1) To assess levels of Persistent Toxic Substances (PTS) in the environment in selected areas of the Russian North, their biomagnification in aquatic and terrestrial food chains, and contamination of traditional (country) foods that are important components of the diet of indigenous peoples. (2) To assess exposure of indigenous peoples in the Russian North to PTS, and the human health impacts of pollution from local and remote sources, as a basis for actions to reduce the risks associated with these exposures. (3) To inform indigenous peoples about contamination by PTS of their environment and traditional food sources, and empower them to take appropriate remedial actions to reduce health risks. (4) To enhance the position of the Russian Federation in international negotiations to reduce the use of PTS, and to empower the Russian Association of Indigenous Peoples of the North (RAIPON) to participate actively and fully in these negotiations. Project activities to achieve outcomes: (1) Inventory of local pollution sources in the vicinities of selected indigenous communities. (2) Survey of levels and fluxes of PTS in riverine and coastal marine environment important for indigenous peoples living in these environments and using them for their subsistence; and assessment of fluxes of PTS to these environments via selected rivers and the atmosphere. (3) Dietary surveys of selected indigenous communities. (4) Study of biomagnification, based on measurements of selected PTS in representative species in food chains important for the traditional diet of indigenous populations. (5) Survey and comparative assessment of pollution levels of the indigenous and general population in selected areas. (6) Dissemination of results to all relevant stakeholders.
Phase I: Evaluation of the Current Status of the Problem with Respect to Environmental Impact and Development of Proposals for Priority Remedial Actions: The main goal of phase 1 of the multilateral PCB project is the evaluation of the current status of the PCB problem in Russia. The objectives of sub-activities under phase 1 of the project included: - Assessment of the overall production of PCB in the former USSR and Russian Federation, and the calculation of a mass-balance of the amount produced. - Estimation of the total volume of PCB still in use, in equipment and in wastes located within the territories of Russian Federation. - Preparation of an inventory of environmental releases from industrial uses and waste. - Development of proposals for priority remedial actions. Project results are presented in relevant publications (see below).
In 1990, the Directorate for Nature Management (DN) established an area for integrated monitoring within Børgefjell National Park, Røyrvik, N Trøndelag. Studies of vegetation-environment relationships in the area was performed by NINA. The area includes both subalpine birch forest and low alpine heath. The new established vegetation investigation included all together 80 different species. This material was processed numerically by using multivariate methods. Indirect gradient analyses were performed using Detrended Correspondence Analysis (DCA) and Local Nonmetric Multidimentional Scaling (LNMDS). Direct gradient analyses were performed by using rescaled hybrid Canonical Correspondence Analysis (CCA). Non-parametric correlation analyses, Kendall’s , were performed between environmental parameters and DCA axis values. The results of the numerical and statistical processing were used partly to provide a description of the vegetational structure in the material and partly to quantify how much each ecological parameters contributed to determination of vegetational structure. This work shows the species distribution along various complex gradients; moisture, nutrient conditions, light etc. The investigation is primarily designed to study vegetation dynamics along these gradients and whether changes in the number of species can be related to changes in physical, biotic and, not least, chemical parameters. Variance analysis was performed to assess to what extent the sample plots tends move in a determined direction from 1990 to 1995. The variation between the years were not significant along the primary complex gradients, but there were a significant displacement of species along the following gradients. The most important species were: Vaccinium vitis-idaea, Melampyrum sylvaticum and Hylocomium splendens), which showed an increase and some cryptogams like Brachythecium reflexum, B. salebrosum and Cladonia ecmocyna which declined.
To assess potential levels of radionuclides input into the Kara sea from existing and potential sources of technogenic radioactivity, located on the land in the Ob- and Yenisey rivers watersheds. Specific Objectives * To reveal and estimate a) most hazardous technogenic sources of radioactive contamination in the Ob- and Yenisey watersheds and b) the most possible and dangerous natural and technogenic (antrophogenic) situations (in the regions of these sources) that may result in release of radionuclides into the environment and may lead to significant changes in the radioactive contamination of the Kara sea * To estimate parameters of radionuclides (potential amount, composition, types etc.) under release to the environment from chosen sources as a result of accidents as well as during migration from the sources to the Kara sea through river systems * To set up a dedicated Database and a Geographic Information System (GIS) for modelling transport of radionuclides from the land-based sources to the Kara sea * To develop and create a dedicated model tool for simulation of radionuclides transport from land-based sources through Ob- and Yenisey river systems to the Kara sea
The project aims to carry out an environmental assessment of the marine environment close to the three main settlements in the Isfjorden complex; Barentsburg, Longyearbyen and Pyramiden. The study comprises analyses of sediment geochemistry and soft-bottom benthic fauna. Attention is given to distinguishing atmospheric transport of contaminants from those arising from local sources.
Risk determination for traditional food should consider the potential risks from exposure to contaminants and the sociocultural, nutritional, economic and spiritual benefits associated with traditional food. Factors which influence Inuit food choices should be further analyzed to add precision to the evaluation of risks and benefits of traditional food consumption. The data of the Nutrition Santé Québec Survey are a potential source for this type of analysis since data are available and are representative of the entire region of Nunavik. The proposed work consists of more detailed analysis of the existing data on food intake among the Inuit of Nunavik collected in 1992 during the Santé Québec Health Survey and to extend our analyses to contaminant intakes. Intakes (mean and median) of traditional and market foods, nutrients and contaminants will be calculated according to the makeup/structure of households, the level of education, the level of household income and coastal place of residence. Intakes will also calculated according to the social assistance status of Inuit. Among Inuit depending on social assistance, comparisons of food, nutrient and contaminant intakes according to the time of the month in which the survey took place will be examined. Statistical comparisons of food intakes will also be done between Inuit who stated having lacked food in the month prior to the survey and those who did not. Nutrient intakes will be compared with daily recommended nutrient intakes (RNI) based on nutritional recommendations issued by Health Canada. More detailed and reliable information regarding sociodemographic factors affecting food intake, nutritional status and contaminant exposure among Inuit will help to orient public health authorities in the promotion of health through traditional food consumption.
Short Term i) to provide additional information for use in updating health advisories. Long Term i)to investigate the fate and effects of contaminant deposition and transport to the Yukon, allowing Northerners to better manage the issue of contaminants. ii)to determine levels of contaminants for use in long term trend monitoring.
To understand and model the processes by which Arctic deep water is formed on continental shelves by the modification of inflowing Atlantic and Pacific waters.
To develop the next-generation Navy operational ice thickness and movement model.