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Forest Fuel Treatment and Fire Risk Assessment

This special issue belongs to the section “Mathematical Modelling and Numerical Simulation of Combustion and Fire“.

Special Issue Information

Dear Colleagues,

Forest fires resulting from natural or human causes have harmful and destructive effects directly or indirectly on human societies. It is of great significance to use scientific forest fire prevention measures to reduce the economic loss and environmental damage caused by fire. Forest fuels are the material basis of fire occurrence. Fuel type, loading, fuel moisture content and characteristics of spatial distribution are closely related to forest fire behavior. As one of the three elements of forest burning, compared with the other two elements (fire source, fire environment), forest fuel are easier to be controlled by human, and the effectiveness of forest fire prevention can be reasonably evaluated quantitatively. The effective fuel treatment and reduction can reduce the risk of fires occurrence, and increase the stability of forest ecosystem and improve forest health. Nowadays, forest fire management is facing new challenges in the context of global warming and serious damage of forest ecosystem. Scientific forest fuel treatment is of great significance for fire prevention and forest management.

Forest fire risk assessment is also an important part of forest fire prevention. Reasonable classification of fire risk and targeted preventive measures can reduce fire occurrence and loss. Through the risk assessment to determine the high fire risk location and estimater its impact areas, to provide decision support for forest fire prevention and firefighting. The results of forest fire risk assessment have important reference value for the improvement and enhancement of current forest fire prevention measures,as well as the policy making.

This Special Issue aims to explore forest fuel treatment and fire risk assessment, giving particular attention but not exclusively to:

  • Methods of forest fuel treatment and reduction
  • Effect of fuel treatment(ie. thinning, prescribed burning)on fuel loading and fire behavior
  • Quantitative model of estimation for fuel loading
  • Fuel characteristics and flammability evaluation
  • Effect of fuel treatment on plant diversity
  • Climate change and forest fires
  • Forest fire danger prediction
  • Forest fire risk assessment
  • Evaluation of fire control capacity
  • Estimation for fire carbon emission
  • Effects of fire severity on forest ecosystems

Dr. Xiaodong Liu
Dr. Mingyu Wang
Dr. Feng Chen
Dr. Jili Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fire is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • forest fire
  • prescribed burning
  • fire behavior
  • fuel treatment
  • fuel characteristics
  • fuel modelling
  • fire risk
  • fire control capacity
  • risk assessment
  • carbon emission

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Fire - ISSN 2571-6255