Modelling Monitoring And Management Of Forest Fires Iii

Forest fires analysis and mitigation requires the development of computer codes that can take into consideration a large number of different parameters. The papers in this book, presented at the third in a successful series on the topic, cover the latest research and applications of available computational tools to analyse and predict the spread of forest fires in an attempt to prevent or reduce major loss of life and property as well as damage to the environment. Featured topics include: Risk and Vulnerability Assessment; Computational Methods and Experiments; Environmental Impact Models; Air Pollution and Health Risk Models; Eco-Remediation Models; Decision Support Systems;Monitoring Systems; Emergency Response Systems; Economic Impact; Human Behaviour and Education, Rural-Urban Interface; Case Studies.

Featured topics include: Air Quality and Health Risks; Computational Methods and Experiments; Detection, Monitoring and Response Systems; Decision Support Systems; Risk and Vulnerability Assessment; Resource Optimisation.

At present there is insufficient knowledge of the behavior of fires and how they propagate. This lack of information makes it very hard to control these phenomena and is one of the biggest obstacles to the development of a reliable decision support system. Public concern regarding this topic is increasing as uncontrolled fires may lead to major ecological disasters, and usually result in negative economic and health implications for the region. Containing papers presented at the First International Conference on Modelling, Monitoring and Management of Forest Fires, this book addresses the latest research and applications of available computational tools to analyse and predict the spread of forest fires in order to prevent or reduce major loss of life and property as well as damage to the environment. Such tools must be able to take into consideration a large number of different parameters. The book thus deals with all aspects of forest fires, from fire propagation in different scenarios to the optimum strategies for fire-fighting. It also covers issues related to economic, ecological, social and health effects. Featured topics include: Computer Models for Fire Propagation; Risk and Vulnerability Assessment; Fire Combustion Models; Computational Methods and Experiments; Case Studies; Emergency Response Systems; Optimization Models for Fire Mitigation; Environmental Impact Models; Air Pollution and Health Risk; Interaction between Meteorological and Forest Fires Models; Economic Impact Models; Forest Material Characterisation; Eco Remediation Models; Decision Support Systems; Monitoring Systems and Data Acquisition and Analysis.

As in the past, future forest fire scenarios are impacted by climatic trends and changes in climatic extremes, as well as by anthropic pressure. It is to be expected that future trends, especially in the Mediterranean regions, will certainly lead to an increasing impact of human pressure on the natural environment, due to increases in tourism and to the enlargement of urban residential areas invading the countryside. Forecasting the effects of both factors (climatic and anthropic) and separating their effects on forest fires frequencies may be particularly difficult, but is essential to improve our knowledge of forest fire occurrence probability and to better organize prevention and fighting activities. At the same time, estimation of the possible increase of fire risk over coming years is important, taking into account also the diverse fire prone environments present in the Mediterranean as well as many other areas (mountain slopes, coastal zones, large islands, etc). This book contains peer-reviewed papers presented at the Second International Conference on Modelling, Monitoring and Management of Forest Fires held in Kos, Greece, in 2010. The papers covered important topics in the field of prevention and fighting of forest fires, including: Computational Methods and Experiments; Air Quality and Health Risk Models; Detection, Monitoring and Response Systems; Decision Support Systems; Resource Optimization; Risk Assessment and Vulnerability Assessment.

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.

Climate change is fundamentally changing ecosystems and their fire conditions, and the 2023 fire season highlighted the urgency of developing and implementing solutions to address wildland fires. Wildland fires transfer carbon between the land and the atmosphere through emissions of greenhouse gases (GHGs), along with other gasses and particles. Though fires can be a natural part of healthy, evolving ecosystems, large, uncontrolled wildland fires can have devastating consequences to human health, communities, and biodiversity. Human-driven changes in wildland fire regimes have the potential to increase GHG emissions at a scale that could inhibit global efforts to achieve net-zero GHG emissions in the coming decades. The National Academies of Sciences, Engineering, and Medicine convened a workshop on September 13-15, 2023, to identify opportunities to improve measurements and model projections of GHG emissions from wildland fires and discuss management practices that could be incorporated into current and future action plans. Participants emphasized the importance of learning from historic and current Indigenous fire management practices and centering Indigenous voices and leadership across all stages of fire management. Different global ecosystems - particularly temperate, boreal, and tropical biomes - have been impacted by climate and land use changes where historical fire regimes and the carbon balance have been disrupted. However, discussions highlighted the diverse set of available regionally differentiated and ecosystem-appropriate mitigation strategies. With improved understanding of fires and their GHG emissions, better information for mitigation and management, and incorporation of wildfire GHG emissions into national accounting mechanisms, practitioners, communities, and decision makers will be better equipped to prepare, adapt, and respond to future wildland fires.

"In September 2004, the Canadian Council of Forest Ministers established a federal, provincial, and territorial task group of assistant deputy ministers (ADMs) and commissioned the development of the Canadian Wildland Fire Strategy (CWFS). The ADMs created an intergovernmental team of analysts, experienced fire managers, and researchers, known as the CWFS Core Team, to consult with Canadian and international experts, collate information, conduct analyses, and present the findings. This team was directed to assess the current state of wildland fire management in Canada, examine the key influences and trends, and identify possible desired future states and how they could be achieved. This publication comprises a collection of nine reports written by the CWFS Core Team members and their associates. Collectively these papers include syntheses, analyses, and perspective articles that address a variety of the social, economic, and biophysical aspects of wildland fire and its management as well as policy, science, and operational issues in Canada."--Pub. desc.

This book concerns the different aspects of forest fires, the impact of fire on both forest resources (e.g. forest cover) and communities that use different forest functions. Therefore, forest fires have their environmental, economic and social consequences, and none of them is less important. Forest fires can be caused by both natural forces and anthropogenic factors, and in the latter case, it is extremely interesting to profile the potential arsonist. Forest fires may also cause conflicts, stronger or weaker, in local communities that have been using forests for years. These conflicts can be solved both by gradually changing the law itself and through education at the local level. Not less important is the ability to detect fires early, which can be helped by the development of modern technologies. In limiting the effects of forest fires, it may also be helpful to develop mathematical models that indicate various factors affecting the possibility of a fire or affecting the rate of its spread. Not less important is the attempt to assess the direction of forest regeneration after the fire has ceased, in understanding what the help of modern technology is. These aspects of forest fire are the subject of this book. I realize, however, that the contents in it can only be an incentive for the reader to learn more, in an interesting aspect. I assume that this book will be valuable to researchers as well as students who are interested in different aspects connected to forest fires, not only from the ecological point of view but also from the social one. Both are extremely important in future forest protection and sustainable use of forest by local communities.