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General Information:The overall objective of DISMAR is
to develop an advanced (intelligent) information system for monitoring and
forecasting marine environment to improved management of pollution crises
in coastal and ocean regions of Europe, in support to public
administrations and emergency services responsible for prevention,
mitigation and recovery of crises such as oil spill pollution and harmful
algal blooms (HAB).
Main challanges:
The main challenge of DISMAR is to develop a system that can 1)
provide access to a wide range of data types relevant for the marine
environment, both archived and near real-time data, 2) combine
observational data with models for improved forecasting and risk
assessment; 3) synthesise information from various data sources, sensors
and model simulations using state-of-the-art methods such as data
fusion; 4) be useful as a decision support and crisis-management system.
Since marine monitoring and management of pollution crises is operated
very differently in European countries, DISMAR will contribute to the
harmonisation and the standardisation of observing systems, models and
management systems to be used for prevention, mitigation and recovery of
pollution crises. DISMAR will also contribute to better exploitation of
different observation systems and bridge these into operational
services. DISMAR will offer standards and solutions built on a common
architecture, implemented via Geographic Information Systems - GIS and
Internet, which can be adopted by several countries and facilitate
exchange of data across national borders.
Description of work:
The DISMAR
workpackages are:
WP100: Project management.
WP200: Requirement analysis and DISMAR prototype design,
focusing both on user requirements and technical choices related to GIS
and web-system.
WP300: Select and provide of existing data, products and models
relevant for the project.
WP400: Exploit new observations and models which have
significant potential to improve quality of marine monitoring of oil
spills and algae blooms.
WP500: Define and implement a structure for data and products,
including metadata
WP600: Develop a prototype user-specific decision support
system for cost-effective management crisis due to oil pollution and
harmful algae bloom incidents.
WP700: Regional demonstrations of the prototype system and
validation by feedback from users.
WP800: Multi-sensor data feature extraction using data fusion,
and combinations of model predictions and image data.
WP900: DISMAR results will be disseminated to identified
end-users, to the scientific community, through the GMES implementation
and to the EU via EEA.
WP1000: Evaluation and assessment
Last updated 22 January 2004.
DISMAR's web pages are administrated by Torill Hamre
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