Citation

Bonazountas M, Kallidromitou D, Kassomenos P, Passas N. J. Environ. Manage. 2007; 84(4): 412-418.

Affiliation

National Technical University of Athens, Faculty of Civil Engineering, Department of Water Resources Hydraulics & Maritime Engineering, Iroon Polytechniou 5, GR-15780 Zografos, Greece. bonazoun@central.ntua.gr

Copyright

(Copyright © 2007, Elsevier Publishing)

DOI

10.1016/j.jenvman.2006.06.016

PMID

16928418

Abstract

Southern Europe is exposed to anthropogenic and natural forest fires. These result in loss of lives, goods and infrastructure, but also deteriorate the natural environment and degrade ecosystems. The early detection and combating of such catastrophes requires the use of a decision support system (DSS) for emergency management. The current literature reports on a series of efforts aimed to deliver DSSs for the management of the forest fires by utilising technologies like remote sensing and geographical information systems (GIS), yet no integrated system exists. This manuscript presents the results of scientific research aiming to the development of a DSS for managing forest fires. The system provides a series of software tools for the assessment of the propagation and combating of forest fires based on Arc/Info, ArcView, Arc Spatial Analyst, Arc Avenue, and Visual C++ technologies. The system integrates GIS technologies 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. Its performance has been demonstrated via real time up-to-date accurate information on the position and evolution of the fire. The system can assist emergency assessment, management and combating of the incident. A site demonstration and validation has been accomplished for the island of Evoia, Greece, an area particularly vulnerable to forest fires due to its ecological characteristics and prevailing wind patterns.

Language: en