Forest fire prevention: Developing an operational difficulty index in fire fighting (ODIF)

2006 ◽  
Vol 234 ◽  
pp. S49
Author(s):  
Enrico Marchi ◽  
Enrico Tesi ◽  
Niccolò Brachetti Montorselli ◽  
Laura Bonora ◽  
Elisabetta Checcacci ◽  
...  
2010 ◽  
Vol 161 (11) ◽  
pp. 460-464
Author(s):  
Andrea Kaltenbrunner

Thanks to fast alarm systems and modern fire-fighting equipment most forest fires can be extinguished while still very small. Nevertheless, the fire brigade and forest organisations in the Grisons are recurringly confronted with larger fires. Over the past twenty years the Grisons Forestry Service and the fire section of the cantonal Building Insurance Company have invested in fire prevention and improved fire-fighting techniques. To monitor and assess the risk of forest fires, the computer-aided forest fire forecasting system “Incendi” was developed. On its basis, regional forest fire risk maps are drawn up and bans on the lighting of fires are imposed. For use in case of fire, the Forestry Service has drawn up maps of the whole Canton Grisons showing water supply points in and near the forest. Where there are gaps in the water supply, artificial water sources are being created. Fifteen years ago a concept of forest fire-fighting bases was elaborated. The most important elements of this concept are the 18 regional depots of mobile fire-fighting material, which in case of emergency can be transported where needed. The present-day administrative structures and the precautionary measures taken in the Grisons fulfil the conditions for efficient forest fire prevention and control.


2000 ◽  
Vol 151 (9) ◽  
pp. 325-335 ◽  
Author(s):  
Giovanni Bovio

Important forest fire prevention developments of the Lombardy, Piedmont and Aosta Valley regions are highlighted in this study and a certain number of activities considered able to improve the situation are proposed.


2018 ◽  
Vol 7 (3.12) ◽  
pp. 1317 ◽  
Author(s):  
Vrince Vimal ◽  
Madhav Ji Nigam

Internet of Things is the mainstay of the new era since its application becomes the future of day-to-day life. This work targets the IoT network assisted by WSN to prevent forest fire. We propose two-layer architecture of sensor network assisted by IoT enabled UAVs. The data flows in the proposed architecture in bottom-up fashion i.e., data is sensed by the nodes, which are deployed in the forest area (and sense temperature continuously). This data is transmitted to upper layer consisting of UAVs, which take appropriate action (to sprinkle water to bring temperature down to prevent fire). All the UAVs are interconnected to each other as well as to base station. The sensor nodes are clustered using two-step clustering algorithm, which takes care of the isolated nodes. The scheme has been equated to another WSN assisted IoT clustering technique. The proposed scheme outperforms the existing in terms of congestion at the UAV stations, number of alive nodes and remaining energy of the network.  


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