Framework for Wildfire Danger Prediction System
Framework for Wildfire Danger Prediction System

Author(s): Nina Dobrinkova, Maria Asenova
Subject(s): Economy, National Economy, Business Economy / Management, Energy and Environmental Studies, Socio-Economic Research
Published by: Национално издателство за образование и наука „Аз-буки“
Keywords: wildfire; fire danger; sensor network
Summary/Abstract: Wildland fires are natural hazard that occur every year in different parts of the world. European Mediterranean countries often are suffering from this disaster and in some cases human casualties plus infrastructure damages are in place. Bulgaria as part of the north east Mediterranean basin is affected by wildland fires in the last three decades more often than before. In our article we will present a framework for wildfire danger prediction system by usage of wireless sensor networks collecting real data and elaborating it into alerts. The test area is located on the territory of South-West state-owned forestry district. The described approach is based on the national fire danger rating algorithm, but in our case downscaled to daily prognosis. The system is under construction at the time of the paper writing thus the framework of the system main functionalities is the main scope of the article.

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