Proceeding of 1st International Conference on Environmental Protection and Disaster RISKs, 2020, DOI:
Nina Dobrinkova, Maria Asenova

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.

wildfire, fire danger, sensor network

This work has been supported by the NNP-OS contract number Д01-322/18.12.2019 and the Bulgarian National Scientific Fund project number DFNI DN12/5 “Efficient Stochastic Methods and Algorithms for Large-Scale Problems”.

Author information:
Author: Nina Dobrinkova
Affiliation: Institute of Information and Communication Technologies – BAS

Author: Maria Asenova
Affiliation: Faculty of Forestry – University Of Forestry

How to cite:
Dobrinkova, N., & Asenova, M. (2020). Framework for Wildfire Danger Prediction System. Proceeding of 1st International Conference on Environmental Protection and Disaster RISKs, 2020, p. 259-270.