Advances in Fire Risk
Fire in its most common form can result in conflagration, which has the potential to cause physical damage through burning. Fire is an important process that affects ecological systems around the globe. The positive effects of fire include stimulating growth and maintaining various ecological systems. Its negative effects include hazard to life and property, atmospheric pollution, and water contamination. If fire removes protective vegetation, heavy rainfall may lead to an increase in soil erosion by water. Also, when vegetation is burned, the nitrogen it contains is released into the atmosphere, unlike elements such as potassium and phosphorus which remain in the ash and are quickly recycled into the soil. This loss of nitrogen caused by a fire produces a long‐term reduction in the fertility of the soil, which can be recovered as atmospheric nitrogen is fixed and converted to ammonia by natural phenomena such as lightning or by leguminous plants such as clover, peas, and green beans.
Sample Chapter(s)
preface (49 KB)
Components of the Book:
  • Chapter 1
    Tracking And Classifying Amazon Fire Events In Near Real Time
  • Chapter 2
    The Health Impacts Of Indonesian Peatland Fires
  • Chapter 3
    A Fire Revealing Coastal Norway’Swildland–Urban Interface Challenges And Possible Low-Cost Sustainable Solutions
  • Chapter 4
    The Role Of Fire In Global Forest Loss Dynamics
  • Chapter 5
    Fire Size Of Gasoline Pool Fires
  • Chapter 6
    Assessment Of The Occurrence Of Forest Fires In Pandemic Period By Covid-19 In Chile. Preliminary Backgrounds
  • Chapter 7
    Air Pollution From Forest And Vegetation Fires In Southeast Asia Disproportionately Impacts The Poor
  • Chapter 8
    Gis-Based Forest Fire Susceptibility Zonation With Iot Sensor Network Support, Case Study—Nature Park Golija, Serbia
  • Chapter 9
    Automatic Fire Detection And Notification System Based On Improved Yolov4 For The Blind And Visually Impaired
  • Chapter 10
    Firefighters’ Absorption Of Pahs And Vocs During Controlled Residential Fires By Job Assignment And Fire Attack Tactic
  • Chapter 11
    Identifying Key Drivers Of Peatland Fires Across Kalimantan'S Ex-Mega Rice Project Using Machine Learning
  • Chapter 12
    Machine Learning To Predict Final Fire Size At The Time Of Ignition
  • Chapter 13
    Improving Prediction And Assessment Of Global Fires Using Multilayer Neural Networks
  • Chapter 14
    A Global Wildfire Dataset For The Analysis Of Fire Regimes And Fire Behaviour
  • Chapter 15
    The Impact Of Reduced Fire Risk Cigarettes Regulation On Residential Fire Incidents, Mortality And Health Service Utilisation In New South Wales, Australia
Readership: Students, academics, teachers and other people attending or interested in Fire Risk
Lars Hein
Wageningen University and Research, Wageningen, the Netherlands

Torgrim Log
Fire Disasters Research Group, Department of Safety, Chemistry and Biomedical Laboratory Sciences, Western Norway University of Applied Sciences, 5528 Haugesund, Norway

Dave van Wees
Department of Earth Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

Miguel Castillo
Forest Fire Laboratory, University of Chile, Santiago 9206, Chile

Carly L. Reddington
School of Earth and Environment, Institute for Climate and Atmospheric Science, University of Leeds, Leeds, UK

and more...
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