ICT-ENSURE Information System on Research Programmes in the Field of ICT for Environmental Sustainability

ICT-ENSURE Information System on Research Programmes in the Field of ICT for Environmental Sustainability ICT-ENSURE Information System on Research Programmes in the Field of ICT for Environmental Sustainability European Commission: ICT for Sustainable Growth European Commission CORDIS Seventh Framework Programme KIT - Karlsruhe Institute of Technology Graz University of Technology, Knowledge Management Institute International Society for Environmental Protection
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Sustainability Field 3.4.2
Management of Natural Risks from the Environment

Programmes assigned to this field

KEWA IV Cooperative Development of Economical Applications for the Environment, Transport and Adjacent Fields in New Administrative Structures (Phase IV) (Kooperative Entwicklung wirtschaftlicher Anwendungen für Umwelt, Verkehr und benachbarte Bereiche in neuen Verwaltungsstrukturen, Phase IV)
see superordinate programme KEWA (...)
see superordinate programme KEWA
Germany Details
FRMRC Flood Risk Management Research Consortium (Flood Risk Management Research Consortium)
SUMMARY OBJECTIVE The objectives are to increase our understanding of flooding by generating new and original science and to support improved flood (...)
SUMMARY OBJECTIVE
The objectives are to increase our understanding of flooding by generating new and original science and to support improved flood risk management.
The key aims of the programme remain as set out in the original project description;
a) The short-term delivery of tools and techniques to support more accurate flood forecasting and warning, improvements to the flood management infrastructure and the reduction of flood risk to people, property and the environment;
b) the establishment of a programme of high quality science that will enhance our understanding of flooding and improve our ability to reduce flood risk through the development of sustainable flood prevention, management and mitigation strategies.
United Kingdom Details
FCERM Joint Defra/EA Flood and Coastal Erosion Risk Management R&D Programme (Joint Defra/EA Flood and Coastal Erosion Risk Management R&D Programme)
Objectives: The aims of the Joint Defra/EA Flood and Coastal Erosion Risk Management Research and Development Programme are to: address the needs (...)

Objectives:
The aims of the Joint Defra/EA Flood and Coastal Erosion Risk Management Research and Development Programme are to:
address the needs of all flood and coastal defence authorities
help inform policy development
ensure that flood and coastal erosion risk management measures are delivered in a technically and environmentally sound and cost-effective manner
bridge the gap between work carried out by others (basic scientific research) and the development of operational systems.

United Kingdom Details
NCP Natural Complexity Programme (Natural Complexity Programme)
Summary: As far as we are aware, the Earth is the most complex object in the Universe. It is not sufficient to investigate aspects of its nature and (...)

Summary:
As far as we are aware, the Earth is the most complex object in the Universe. It is not sufficient to investigate aspects of its nature and functioning separately, since features of its overall behaviour are difficult to predict from a detailed study of its components. However, new theoretical concepts and advanced mathematical tools, together with ever-increasing computer power, offer the potential to identify related patterns of behaviour in apparently dissimilar natural systems. For example, it is now possible to predict the odds of an avalanche of a given size in a sand pile without having to know the movement of every grain, using an approach which can also be applied to the study of stock-market fluctuations. Such mathematical modelling and analysis tools can be applied to the behaviour of previously ill-understood natural phenomena ranging from earthquakes to magnetic substorms.
COMPLEXITY will apply new mathematical techniques to focused goals in each of the four main spheres of BAS science. It will analyse data sets already held at BAS, and new data acquired under GSAC. COMPLEXITY has links with GEACEP, GRADES, CACHE, DISCOVERY 2010 and SEC.


Objectives:
Identify, measure and explain aspects of complexity in four main components of the Earth system - the atmosphere, biosphere, cryosphere, and magnetosphere
Use ideas and methods from complexity science to offer new insights into environmental problems under investigation in selected BAS science programmes

United Kingdom Details
NAME Numerical Atmospheric-dispersion Modelling Environment (Numerical Atmospheric-dispersion Modelling Environment)
The Met Office's Numerical Atmospheric-dispersion Modelling Environment (NAME) is used to model a wide range of atmospheric dispersion events. This (...)
The Met Office's Numerical Atmospheric-dispersion Modelling Environment (NAME) is used to model a wide range of atmospheric dispersion events.
This includes nuclear accidents, volcanic eruptions, chemical accidents, smoke from fires, odours, airborne animal diseases as well as in the provision of routine air quality forecasts. The model is used for research activities and for emergency air pollution forecasts. NAME is a flexible modelling environment able to predict dispersion over distances ranging from a few kilometres to the whole globe and for time periods of minutes to decades.
United Kingdom Details
CTT Telluric and Tsunami Disasters (Catastrophes Telluriques et Tsunami )
Telluric and Tsunami Disasters (...)
Telluric and Tsunami Disasters
France Details

Projects assigned to this field

Change Detection Automatic Detection of Changes in Satellite Image Series (Automatische Erkennung von Veränderungen in Satellitenbilddatenreihen)
Plötzliche Veränderungen, die durch Naturkatastrophen oder andere Zerstörungen hervorgerufen werden, stehen im Fokus des Projektes«, so Prof. Ehlers. (...)
Plötzliche Veränderungen, die durch Naturkatastrophen oder andere Zerstörungen hervorgerufen werden, stehen im Fokus des Projektes«, so Prof. Ehlers. »Besonders Einsatzkräfte, die in Krisengebiete geschickt werden, haben großes Interesse daran, schnell und zuverlässig zu erfahren, wo im Zielgebiet die größten Veränderungen zu finden sind«, ergänzt Prof. Michel. »Hierdurch lässt sich wertvolle Zeit für Bergungsarbeiten gewinnen«. Die Wissenschaftler entwickeln derzeit gemeinsam neue Software zur Auswertung von Satellitenbildern. Diese sollen über eine Kombination von Algorithmen, die Form, Farbe und Texturen von Bildobjekten berücksichtigen, Umwelt- und Naturveränderungen automatisch anzeigen.
Germany Details
HEXECO Modeling of hydrodynamics linked to extreme meteorological phenomena (Hydrodynamique EXtrême du largE à la COte)
Modeling of hydrodynamics linked to extreme meteorological phenomena (...)
Modeling of hydrodynamics linked to extreme meteorological phenomena
France Details
FLASH Predicting floods by statistical learning, data assimilation and semi-physical modeling (Prévision des crues par apprentissage statistique, assimilation de données et modélisation semi-physique)
Predicting floods by statistical learning, data assimilation and semi-physical modeling. (...)
Predicting floods by statistical learning, data assimilation and semi-physical modeling.
France Details
QSHA Quantitative Seismic Hazard Assessment (Quantitative Seismic Hazard Assessment)
The objective of QSHA is the construction of a reliable model for wave propagation simulation; the source characterization and determination of (...)
France Details

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