The OFIDIA Fire Danger Rating System

Prevention is one of the most important stages in wildfire and other natural hazard management. Fire Danger Rating Systems (FDRSs) have been adopted by many countries to enhance wildfire prevention and suppression planning. With the aim to provide real-time fire danger forecasts and finer-scale fire behaviour analysis, an operational fire danger prevention platform has been developed within the OFIDIA project (Operational FIre Danger preventIon plAtform). The OFIDIA Fire Danger Rating System platform consists of (1) a data archive for managing weather forecasting and wireless sensors data, (2) a data analytics platform for post-processing weather data and for computing fire danger indices, and (3) a web application system for the visualization of weather and fire index maps and related timeseries. The OFIDIA platform is also connected to a Wireless Sensor Network (WSN) that gathers data from several sites in the Apulia (Italy) and Epirus (Greece) regions. The WSN is made by a primary station and several wireless sensors dislocated in wooded areas, the data acquisition process relates to variables like air temperature, relative humidity, wind speed and direction, precipitation, solar radiation, and fuel moisture.

[1]  Gorjan Alagic,et al.  #p , 2019, Quantum information & computation.

[2]  Donatella Spano,et al.  Assessing Landscape Scale Wildfire Exposure for Highly Valued Resources in a Mediterranean Area , 2015, Environmental Management.

[3]  M. Finney.  Fire growth using minimum travel time methods , 2002 .

[4]  Patricia L. Andrews,et al.  Fuels Management-How to Measure Success: Conference Proceedings , 2006 .

[5]  C. E. Van Wagner,et al.  Conditions for the start and spread of crown fire , 1977 .

[6]  B. Mike Wotton,et al.  3A.2 A GRASS MOISTURE MODEL FOR THE CANADIAN FOREST FIRE DANGER RATING SYSTEM , 2009 .

[7]  Jesus San-Miguel-Ayanz,et al.  Active Fire Detection for Fire Emergency Management: Potential and Limitations for the Operational Use of Remote Sensing , 2005 .

[8]  Michael A. Crimmins,et al.  Synoptic climatology of extreme fire‐weather conditions across the southwest United States , 2006 .

[9]  H. Preisler,et al.  Analyzing wildfire exposure and source–sink relationships on a fire prone forest landscape , 2012 .

[10]  R. Burgan,et al.  Seasonal fire danger forecasts for the USA , 2005 .

[11]  Arie Shoshani,et al.  OLAP and statistical databases: similarities and differences , 1997, PODS '97.

[12]  A. P. Dimitrakopoulos,et al.  Evaluation of the Canadian fire weather index system in an eastern Mediterranean environment , 2011 .

[13]  J. Pereira,et al.  Modeling spatial patterns of fire occurrence in Mediterranean Europe using Multiple Regression and Random Forest , 2012 .

[14]  M. Finney.  An Overview of FlamMap Fire Modeling Capabilities , 2006 .

[15]  Alan A. Ager,et al.  Assessing exposure of human and ecological values to wildfire in Sardinia, Italy , 2013 .

[16]  Charles H. Luce,et al.  Both topography and climate affected forest and woodland burn severity in two regions of the western US, 1984 to 2006 , 2011 .

[17]  Xiubo Yu,et al.  A comparison of forest fire indices for predicting fire risk in contrasting climates in China , 2013, Natural Hazards.

[18]  F. Moreira,et al.  Landscape--wildfire interactions in southern Europe: implications for landscape management. , 2011, Journal of environmental management.

[19]  Ian T. Foster,et al.  A big data analytics framework for scientific data management , 2013, 2013 IEEE International Conference on Big Data.

[20]  SAVANNAH GUIDES.  Chapter Three , 2003 .

[21]  M. E. Alexander,et al.  Canadian Forest Fire Danger Rating System: An Overview , 1989 .

[22]  Ian T. Foster,et al.  Ophidia: Toward Big Data Analytics for eScience , 2013, ICCS.

[23]  S. Palmieri,et al.  Il ruolo della meteorologia nella prevenzione e controllo degli incendi boschivi , 1983 .

[24]  A. Bachmann,et al.  A consistent wildland fire risk terminology is needed , 2001 .

[25]  P. Strobl,et al.  Comprehensive Monitoring of Wildfires in Europe: The European Forest Fire Information System (EFFIS) , 2012 .

[26]  R. Rothermel.  A Mathematical Model for Predicting Fire Spread in Wildland Fuels , 2017 .

[27]  Annette Menzel,et al.  Forest fire danger rating in complex topography - results from a case study in the Bavarian Alps in autumn 2011 , 2013 .

[28]  R. Wilson,et al.  Reformulation of forest fire spread equations in SI units , 1980 .

[29]  Patrick Weibel,et al.  Modelling and assessing fire regimes in mountain forests of Switzerland , 2009 .

[30]  Donatella Spano,et al.  Analyzing spatiotemporal changes in wildfire regime and exposure across a Mediterranean fire-prone area , 2014, Natural Hazards.

[31]  M. A. Fosberg.  Weather in wildland fire management: the Fire Weather Index , 1978 .

[32]  Juli G. Pausas,et al.  Fire regime changes in the Western Mediterranean Basin: from fuel-limited to drought-driven fire regime , 2011, Climatic Change.

[33]  Alan A. Ager,et al.  Analyzing seasonal patterns of wildfire exposure factors in Sardinia, Italy , 2014, Environmental Monitoring and Assessment.

[34]  Jimy Dudhia,et al.  The Weather Research and Forecast Model: software architecture and performance [presentation] , 2005 .

[35]  C. E. Van Wagner,et al.  Development and structure of the Canadian Forest Fire Weather Index System , 1987 .