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Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks, Nikolay Viktorovich Baranovskiy


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Автор: Nikolay Viktorovich Baranovskiy
Название:  Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks
ISBN: 9781799818687
Издательство: Mare Nostrum (Eurospan)
Классификация:





ISBN-10: 1799818683
Обложка/Формат: Paperback
Страницы: 448
Вес: 1.03 кг.
Дата издания: 30.12.2019
Серия: Economics/Business/Finance
Язык: English
Иллюстрации: Illustrations, unspecified
Размер: 280 x 216 x 23
Читательская аудитория: Professional and scholarly
Ключевые слова: Fire protection & safety,Forestry & silviculture: practice & techniques,Forestry & related industries,Instruments & instrumentation engineering
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Поставляется из: Англии
Описание: 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.


Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks

Автор: Nikolay Viktorovich Baranovskiy
Название: Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks
ISBN: 1799818675 ISBN-13(EAN): 9781799818670
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 34373.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.

Evolution, Monitoring and Predicting Models of Rockburst

Автор: Wang
Название: Evolution, Monitoring and Predicting Models of Rockburst
ISBN: 9811075476 ISBN-13(EAN): 9789811075476
Издательство: Springer
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Цена: 6986.00 р.
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Описание:

Introduction.- Experimental Materials and Equipment.- The Mechanism and Predicting Theory-Based Rockburst Evolution.- Three-dimensional Reconstruction Model and Numerical Simulation of Rock Fissures.- The Patterns of Dynamic Evolution of Cracks in Rock Failure.- Experiment Investigation of AE Precursor Information for Rockburst.- Experimental Investigations on Multi-means and Synergistic Prediction for Rockburst.- Predicting Model of Rockburst Based on Nondeterministic Theory.- Field Case.

Evolution, Monitoring and Predicting Models of Rockburst

Автор: Chunlai Wang
Название: Evolution, Monitoring and Predicting Models of Rockburst
ISBN: 9811356513 ISBN-13(EAN): 9789811356513
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This open access book focuses on investigating predicting precursor information and key points of rockburst in mining engineering through laboratory experiment, theoretical analysis, numerical simulation and case studies. Understanding the evolution patterns for the microstructure instability of rock is a prerequisite for rockburst prediction. The book provides a guide for readers seeking to understand the evolution patterns for the microstrucure of rock failure, the predicting key point of rock failure and the rockburst predicting model. It will be an essential reference to understand mechanism of rockburst and sheds new light on dynamic disasters prediction. Chapters are carefully developed to cover (1) The evolution patterns for the microstructure instability of rock; (2) Rockburst hazard monitoring and predicting criterion and predicting models. The book addresses the issue with a holistic and systematic approach that investigates the occurrence mechanism of rockburst based on the evolution patterns for the microstructure of rock failure and establishes the predicting model of rockburst. This book will be of interest to researchers of mining engineering, rock mechanics engineering and safety engineering.

Predicting Breeding Values with Applications in Forest Tree Improvement

Автор: T.L. White; G.R. Hodge
Название: Predicting Breeding Values with Applications in Forest Tree Improvement
ISBN: 9048140552 ISBN-13(EAN): 9789048140558
Издательство: Springer
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Цена: 30039.00 р.
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Описание: In most breeding programs of plant and animal species, genetic data (such as data from field progeny tests) are used to rank parents and help choose candidates for selection.


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