Abstract
To prevent casualties both in human lives and in private/public property due to Environmental Hazards such as Floods or Forest Fires, it is required that large-scale Integrated Technological Systems are developed to detect in time an imminent event. Such Systems use highly efficient computational engines to perform simulations on natural phenomena in real time, they use web-applications to retrieve Geographic and Meteorological Information to be used as input for the aforementioned Simulation Models, they visualize simulation-output via GIS technology so that the visual result meets high quality standards in terms of information mapping. Technology, Architecture and Design of such a System is presented in this chapter.
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References
Andrews, P.L., 1986, BEHAVE: Fire behavior prediction and fuel modeling system-BURN subsystem, Part 1, Gen. Tech. Rep. INT-194. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station. 130 p.
Bonazountas, M., 2006, SCIER: Sensor & computing infrastructure for environmental risks. GEONETCAST workshop; Proceedings in CD-ROM. ISBN 92-79-02330-6. European Commission, DG-ENV, Policy aspects of research and sustainable development, Earth
Observation Unit. Location: Foundation Universitaire, Rue de Champ de Mars 30, B-1000 Brussels, 3 May 2006. cesar.perez-garcia@cec.eu.int, ISBN 92-79-02330-6.
European Commission, 2008, SCIER: Sensor & Computing Infrastructure for the Environmental risks. EC Specific Target Research and Innovation Project. Contract No. IST-5-035164_05/05/2006. Sixth Framework Programme, Priority 2.5.12. European Commission, Brussels. www.scier.eu, brice.lepape@cec.eu.int
Foster, I., Kesselman, C., 2003, Computational Grids (Computer Systems), Morgan Kaufmann, San Francisco, CA, USA.
Frandsen, W.H., 1971, Fire spread through porous fuels from the conservation of energy, Combustion and Flame, 16: 9–16.
Metelka, T., Bonazountas, M., 2007, “SCIER” — Sensor & Computing Infrastructure for Environmental Risks. Proceedings ISESS: International Symposium on Environmental Software Systems, Prague, Czech Republic. 21–27 May 2007. http://www.isess.org/
MIKE 11, A Modeling System for Rivers and Channels, User Guide, DHI Software 2000.
Raghavendra, C.S., Sivalingam, M.K., Znati, T.F., 2004, Wireless Senor Networks, DHI Water & Environment, Horsholm, Denmark.
Rothermel, R.C., 1972, A mathematical model for predicting fire spread in wildland fuels, USDA Forest Service General Technical Report INT-115, p. 49.
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Bonazountas, M., Kanellopoulos, S., Schaller, J., Kallidromitou, D., Martirano, G. (2009). Gis & Visual Analytics on Grid Technology. In: Amicis, R.D., Stojanovic, R., Conti, G. (eds) GeoSpatial Visual Analytics. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2899-0_22
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DOI: https://doi.org/10.1007/978-90-481-2899-0_22
Publisher Name: Springer, Dordrecht
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