Applications
Environmental science in urban environments
Modern cities face daunting problems of population density, transport
management and regeneration with both economic and social aspects.
Existing tools to understand the city, such as graphical modelling
of the built environment, simulation and mapping of transport flows
and pollution levels, tend to lead to isolated and relatively static
models. The project is collaborating with the Centre for Advanced
Spatial Analysis, the Departments of Geomatic Engineering and Geography,
and the Bartlett School of Architecture and Planning at UCL to provide
an integrated visualisation system that will allow presentation
of models at the urban scale on a range of devices, from mobile
PDA through to Reactor. A user physically present in the urban environment
will be able to collect data and to work interactively with a remote
colleague to visualise data concerning their common geographical
area.
Studying carbon cycling in Antarctic lakes
As a means to understand their delicate ecology - and whether it
is changing - a team at the University of Nottingham have been studying
the movement of carbon through the ecosystem, and in particular
the relationship between levels of carbon and the presence of plankton
in eastern Antarctic freshwater lakes. As part of their work, data
on the physical nature of the environment is collected during regular
field excursions from the base at Davis to various lakes in the
Vestfold Hills, one of the most hostile environments on the planet.
By using Grid technology, data collection could be undertaken in
a safer, more continuous and timely manner. Field sensors could
be used to measure water depth, ice thickness, light, temperature
and other conditions both above and below the surface. The data
can also be integrated with other data sources, including existing
databases of meteorological and UV data. Finally, the analysis and
modelling will benefit from more powerful techniques and interfaces
for visualising multiple datasets in real time.
More widely the project is expected to contribute to real time
modelling and visualisation in a wide range of industries, including
financial services, industrial control and the retail sector.
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