Forest Fire Risk Prediction
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| Author | : Rachael Nolan |
| Publisher | : Mdpi AG |
| Total Pages | : 236 |
| Release | : 2021-09-30 |
| Genre | : Science |
| ISBN | : 9783036514741 |
Globally, fire regimes are being altered by changing climatic conditions and land use changes. This has the potential to drive species extinctions and cause ecosystem state changes, with a range of consequences for ecosystem services. Accurate prediction of the risk of forest fires over short timescales (weeks or months) is required for land managers to target suppression resources in order to protect people, property, and infrastructure, as well as fire-sensitive ecosystems. Over longer timescales, prediction of changes in forest fire regimes is required to model the effect of wildfires on the terrestrial carbon cycle and subsequent feedbacks into the climate system. This was the motivation to publish this book, which is focused on quantifying and modelling the risk factors of forest fires. More specifically, the chapters in this book address four topics: (i) the use of fire danger metrics and other approaches to understand variation in wildfire activity; (ii) understanding changes in the flammability of live fuel; (iii) modeling dead fuel moisture content; and (iv) estimations of emission factors. The book will be of broad relevance to scientists and managers working with fire in different forest ecosystems globally.
| Author | : Baranovskiy, Nikolay Viktorovich |
| Publisher | : IGI Global |
| Total Pages | : 417 |
| Release | : 2019-12-27 |
| Genre | : Technology & Engineering |
| ISBN | : 1799818691 |
To understand the catastrophic processes of forest fire danger, different deterministic, probabilistic, and empiric models must be used. Simulating various surface and crown forest fires using predictive information technology could lead to the improvement of existing systems and the examination of the ecological and economic effects of forest fires in other countries. Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks provides innovative insights into forestry management and fire statistics. The content within this publication examines climate change, thermal radiation, and remote sensing. It is designed for fire investigators, forestry technicians, emergency managers, fire and rescue specialists, professionals, researchers, meteorologists, computer engineers, academicians, and students invested in topics centered around providing conjugate information on forest fire danger and risk.
| Author | : Douglas Paton |
| Publisher | : Elsevier |
| Total Pages | : 283 |
| Release | : 2014-10-20 |
| Genre | : Science |
| ISBN | : 0124096018 |
More than 90% of wildfires are caused by human activity, but other causes include lighting, drought, wind and changing weather conditions, underground coal fires, and even volcanic activity. Wildfire Hazards, Risks, and Disasters, one of nine volumes in the Elsevier Hazards and Disasters series, provides a close and detailed examination of wildfires and measures for more thorough and accurate monitoring, prediction, preparedness, and prevention. It takes a geo-scientific and environmental approach to the topic while also discussing the impacts of human-induced causes such as deforestation, debris burning and arson—underscoring the multi-disciplinary nature of the topic. It presents several international case studies that discuss the historical, social, cultural and ecological aspects of wildfire risk management in countries with a long history of dealing with this hazard (e.g., USA, Australia) and in countries (e.g., Taiwan) where wildfire hazards represent a new and growing threat to the social and ecological landscape. - Puts the contributions of environmental scientists, social scientists, climatologists, and geoscientists at your fingertips - Arms you with the latest research on causality, social and societal impacts, economic impacts, and the multi-dimensional nature of wildfire mitigation, preparedness, and recovery - Features a broad range of tables, figures, diagrams, illustrations, and photographs to aid in the retention of key concepts - Discusses steps for prevention and mitigation of wildfires, one of the most expensive and complex geo-hazards in the world.
| Author | : Baranovskiy, Nikolay Viktorovich |
| Publisher | : IGI Global |
| Total Pages | : 297 |
| Release | : 2021-05-21 |
| Genre | : Technology & Engineering |
| ISBN | : 1799872521 |
Forest fires cause ecological, economic, and social damage to various states of the international community. The causes of forest fires are rather varied, but the main factor is human activity in settlements, industrial facilities, objects of transport infrastructure, and intensively developed territories (in other words, anthropogenic load). In turn, storm activity is also a basic reason for forest fires in remote territories. Therefore, scientists across the world have developed methods, approaches, and systems to predict forest fire danger, including the impact of human and storm activity on forested territories. An important and comprehensive point of research is on the complex deterministic-probabilistic approach, which combines mathematical models of forest fuel ignition by various sources of high temperature and probabilistic criteria of forest fire occurrence. Forest Fire Danger Prediction Using Deterministic-Probabilistic Approach provides a comprehensive approach of forest fire danger prediction using mathematical models of forest fuel with consideration to anthropogenic load, storm activity, and meteorological parameters. Specifically, it uses the deterministic-probabilistic approach to predict forest fire danger and improve forest protection from fires. The chapters will cover various tree types, mathematical models, and solutions for reducing the destructive consequences of forest fires on ecosystems. This book is ideal for professionals and researchers working in the field of forestry, forest fire danger researchers, executives, computer engineers, practitioners, government officials, policymakers, academicians, and students looking for a new system to predict forest fire danger.
| Author | : Great Britain. Forestry Commission |
| Publisher | : |
| Total Pages | : 44 |
| Release | : 2014 |
| Genre | : Forest management |
| ISBN | : 9780855388867 |
http: //www.forestry.gov.uk/PDF/FCPG022.pdf/$FILE/FCPG022.pd
| Author | : Joe H. Scott |
| Publisher | : |
| Total Pages | : 84 |
| Release | : 2005 |
| Genre | : Fire management |
| ISBN | : |
This report describes a new set of standard fire behavior fuel models for use with Rothermels surface fire spread model and the relationship of the new set to the original set of 13 fire behavior fuel models. To assist with transition to using the new fuel models, a fuel model selection guide, fuel model crosswalk, and set of fuel model photos are provided.
| Author | : Emilio Chuvieco |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 325 |
| Release | : 2012-12-06 |
| Genre | : Science |
| ISBN | : 3642601642 |
The book provides a systematic review of the different applications for remote sensing and geographical information system techniques in research and management of forest fires. The authors have been involved in this field of research for several years. The book also benefits from data generated within the Megafires project, founded under the DG-XII of the European Union. A clear integration of research and experience is provided. New data gathered from fires affecting European countries between 1991 and 1997 are included as well as satellite images and auxiliary cartographic information. Geographic Information System files have been included in the attached CD-ROM depicting land cover, elevation, Koeppen classification climates and NOAA-AVHRR data of all European Mediterranean Europe at 1 sq km resolution. All these files are in Idrisi format and can be easily accessed from any GIS program. An Idrisi viewer has also been included in the CD-ROM.
| Author | : Pravat Kumar Shit |
| Publisher | : Springer Nature |
| Total Pages | : 675 |
| Release | : 2020-10-08 |
| Genre | : Science |
| ISBN | : 3030565424 |
This book demonstrates the measurement, monitoring, mapping, and modeling of forest resources. It explores state-of-the-art techniques based on open-source software & R statistical programming and modeling specifically, with a focus on the recent trends in data mining/machine learning techniques and robust modeling in forest resources. Discusses major topics such as forest health assessment, estimating forest biomass & carbon stock, land use forest cover (LUFC), dynamic vegetation modeling (DVM) approaches, forest-based rural livelihood, habitat suitability analysis, biodiversity and ecology, and biodiversity, the book presents novel advances and applications of RS-GIS and R in a precise and clear manner. By offering insights into various concepts and their importance for real-world applications, it equips researchers, professionals, and policy-makers with the knowledge and skills to tackle a wide range of issues related to geographic data, including those with scientific, societal, and environmental implications.
| Author | : Dieu Tien Bui |
| Publisher | : Springer |
| Total Pages | : 406 |
| Release | : 2017-10-05 |
| Genre | : Science |
| ISBN | : 3319682407 |
This book discusses the latest advances and applications in geospatial technologies and earth resources for mine surveying and civil engineering. It also discusses mineral resources management and assesses many techniques such as unmanned aerial vehicles/drones, ground-penetrating radar, geographic information system (GIS) and GIS-based machine learning. The book gathers the proceedings of the International Conference on Geo-Spatial Technologies and Earth Resources (GTER 2017), which was co-organized by the Hanoi University of Mining and Geology (HUMG) and the International Society for Mine Surveying (ISM) and held in Hanoi, Vietnam, on October 5–6, 2017. GTER 2017 is technically co-sponsored by the Vietnam Mining Science and Technology Association (VMST), Vietnam Association of Geodesy, Cartography and Remote Sensing (VGCR), Vietnam National Coal-Mineral Industries Holding Corporation Limited (VINACOMIN), and the Dong Bac Corporation (NECO). The event is intended to bring together experts, researchers, engineers, and policymakers to discuss and exchange their knowledges and experiences with modern geospatial technologies, recent advances in mining and tunneling, and the geological and earth sciences. Given its breadth of coverage, the book will appeal to scientists in the field as well as professionals interested in related technological applications.
| Author | : Víctor Resco de Dios |
| Publisher | : Springer Nature |
| Total Pages | : 212 |
| Release | : 2020-03-17 |
| Genre | : Technology & Engineering |
| ISBN | : 3030411923 |
This book provides a unique exploration of the inter-relationships between the science of plant environmental responses and the understanding and management of forest fires. It bridges the gap between plant ecologists, interested in the functional and evolutionary consequences of fire in ecosystems, with foresters and fire managers, interested in effectively reducing fire hazard and damage. This innovation in this study lies in its focus on the physiological responses of plants that are of relevance for predicting forest fire risk, behaviour and management. It covers the evolutionary trade-offs in the resistance of plants to fire and drought, and its implications for predicting fuel moisture and fire risk; the importance of floristics and plant traits, in interaction with landform and atmospheric conditions, to successfully predict fire behaviour, and provides recommendations for pre- and post- fire management, in relation with the functional composition of the community. The book will be particularly focused on examples from Mediterranean environments, but the underlying principles will be of broader utility.
