Difference between revisions of "DSS for managing forest fire casualties"
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Latest revision as of 06:52, 14 October 2012
General System description
System name: Decision support system for managing forest fire casualties
Brief overview
This system provides a series of spatial software tools for the assessment of the propagation and combating of forest fires.
Contents
Scope of the system
The system integrates GIS technologies (Arc/Info, ArcView, ArcSpatial Analyst, and Arc Avenue) under the same data environment and utilises a common user interface to produce an integrated computer system based on semi-automatic satellite image processing (fuel maps), socio-economic risk modelling and probabilistic models that would serve as a useful tool for forest fire prevention, planning and management. It can assist emergency assessment, management and combating of fire incidents, providing real time up-to-date accurate information on the position and evolution of the fire.
The "Decision support system for managing forest fire casualties" consists of the eight following modules:
- The Data Acquisition (DA) ,
- a satellite imagery importation module,
- a Fuel Mapping (FM) module,
- a Scenarios Generation (SG) module,
- a Socio-Economic Risk characterization module (SRM),
- a Probabilistic Planning (PP) module,
- a Valuation (VAL) module, and
- a User Interface (UI) module.
System origin
- It was developed near 2006 by a team of Greek researchers conducted by Marc Bonazountas, Despina Kallidromitou, Pavlos Kassomenos and Nikos Passas.
- It was tested in a real forest fire event in the island of Evoia, Central Greece, and revealed results close to the relevant authorities' expectations.
Support for specific issues
This system is addressed to fire fight and prevention.
Support for specific thematic areas of a problem type
- Conservation
- Transportation
- Policy/intervention alternatives
Capability to support decision making phases
- Intelligence
- Forest fire risk and management is maybe the principal concern in Mediterranean countries, specially in Greece.
- Design
- DSSs have shown to be useful tools in the analysis and management of forest fire events.
- Choice
- The implemented models enable a more wise decision-making.
- Monitor
- The system was tested in a real forest fire event in the island of Evoia.
Data and data models
Typical spatial extent of application
The system was desugned to fe used in a regional level.
Forest data input
Data consists of satellite images in the visible part of the solar spectrum from LANDSAT and SPOT satellites, and meteorological data from monitoring networks operating in the area of the application. The Scenarios Generation module requires information about historical databases used to generate data relative to fire starting points, forest fuel moisture contents, wind speed and direction, and availability of existing fire fighting infrastructures and resources, considering possible changes along the defined time period. Socio-economic variables as local permanent population, tourists, domestic animals, houses, type and height of vegetation are also needed by the Socio-Economic Risk characterization module.
Type of information input from user (via GUI)
Some other inputs are required, e.g., in order to obtain geographical distributions of fuel availability it is required to introduce a relationship table between vegetation classes and parametrised, fuel availability models.
Models
Forest models
Fire simulations are based on a very detailed forest fire spread engine that calculates fire propagation and fire characteristics for every cell.
Social models
There is a socio-economic risk module that characterises and analyses the socio-economic risk in the area under study [1]
Decision Support
Definition of management interventions
Fire prevention treatments scheduling, fire fighting infrastructures and resources allocation, and fire risk management.
Typical temporal scale of application
This aims to be used at an operational level.
Types of decisions supported
- Management level
- administrative decisions
- operating control decisions
- Management function
- planning decisions
- organizing decisions
- command decisions
- control decisions
- coordination decisions
- decision making situation
- unilateral
- collegial
Decision-making processes and models
- Logic modeling
- Simulation (with and without stochasticity)
- Multiple criteria/ranking
Output
Types of outputs
The outputs are shown as tables, charts and maps designed in the form of reports and cartographic representations.
Spatial analysis capabilities
Spatial behaviour of fire, fire fighting infrastructures and resources allocation, and fire risk are analysed.
Abilities to address interdisciplinary, multi-scaled, and political issues
It address the support of fire prevention and management administrative decisions.
System
System requirements
- Operating Systems: MS Windows OS
- Other software needed: This desktop DSS requires the installation of some other software like ArcGIS packages for data analysis, and ERDAS IMAGINE and Microsoft Excel for data transformation.
- Development status
Architecture and major DSS components
It is based on Visual C++ computer language.
Usage
Research and government level.
References
Cited references
- ↑ BONAZOUNTAS M., KALLIDROMITOU D., KASSOMENOS P. A. et PASSAS N. (2005): Forest Fire Risk Analysis, Human and Ecological Risk Assessment, 11(3), 617-626.
External resources
BONAZOUNTAS, M., D. KALLIDROMITOU, P. KASSOMENOS et N. PASSAS (2007): A decision support system for managing forest fire casualties. Journal of Environmental Management, 84, 412–418.