Forest Fire Danger Prediction Using Deterministic Probabilistic Approach is popular PDF and ePub book, written by Baranovskiy, Nikolay Viktorovich in 2021-05-21, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Forest Fire Danger Prediction Using Deterministic Probabilistic Approach can be Read Online from any device for your convenience.

Forest Fire Danger Prediction Using Deterministic Probabilistic Approach Book PDF Summary

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.

Detail Book of Forest Fire Danger Prediction Using Deterministic Probabilistic Approach PDF

Forest Fire Danger Prediction Using Deterministic Probabilistic Approach
  • Author : Baranovskiy, Nikolay Viktorovich
  • Release : 21 May 2021
  • Publisher : IGI Global
  • ISBN : 9781799872528
  • Genre : Technology & Engineering
  • Total Page : 297 pages
  • Language : English
  • PDF File Size : 19,6 Mb

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