Applications of Computational Statistics to Wildfire Science and Management
A special issue of Fire (ISSN 2571-6255).
Deadline for manuscript submissions: 31 March 2025 | Viewed by 684
Special Issue Editor
Special Issue Information
Dear Colleagues,
Fire safety is of paramount importance, as it concerns life, property, and the environment. Computational statistics has emerged as a powerful tool in various fields, including wildfire science. Its applications range from understanding the fundamental processes of fire ignition and spread to developing fire prevention and suppression strategies.
This Special Issue aims to showcase the latest advancements in computational statistics and its applications in fire science. We cordially invite researchers from academia and industry to share their latest research findings, including various aspects of fire safety. Through the application of simulation, modeling, and data-driven methods, a deeper understanding of fire behavior, fire dynamics, and the effectiveness of fire safety measures can be achieved, thereby driving innovation in the field of fire safety.
We welcome original research articles and reviews that address the following themes:
- Fire dynamics and simulation: this includes the development and application of computational models to predict the behavior of fires, such as ignition, growth, spread, fire-spotting, and suppression.
- Fire risk assessment and management: this theme covers the use of statistical methods and models to assess fire risks and fuel treatment strategies, as well as prescribed and cultural burning.
- Fire detection and alarm systems: this area includes the design and evaluation of fire detection and alarm systems based on data-driven approaches and machine learning techniques.
- Fire protection engineering: this theme focuses on the application of computational statistics in the design and optimization of fire protection systems, such as sprinklers, smoke detectors, and fire doors.
- Smoke transport and the health effects of smoke: this theme includes smoke monitoring techniques, as well as the epidemiological consequences of increased particulate matter in communities.
I look forward to receiving your contributions.
Prof. Dr. W. John Braun
Guest Editor
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
- fire safety
- fire simulation
- fire risk assessment
- fire management
- statistical applications
