Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] State of wildfires 2023–2024
Climate change contributes to the increased frequency and intensity of wildfires globally,
with significant impacts on society and the environment. However, our understanding of the …
with significant impacts on society and the environment. However, our understanding of the …
[HTML][HTML] Combustion dynamics of large-scale wildfires
A fact often overlooked is that large-scale wildfires, although occurring infrequently, are
responsible for the overwhelming majority of fire-related suppression costs, economic …
responsible for the overwhelming majority of fire-related suppression costs, economic …
Role of buoyant flame dynamics in wildfire spread
Large wildfires of increasing frequency and severity threaten local populations and natural
resources and contribute carbon emissions into the earth-climate system. Although wildfires …
resources and contribute carbon emissions into the earth-climate system. Although wildfires …
Review of pathways for building fire spread in the wildland urban interface part I: exposure conditions
While the wildland–urban interface (WUI) is not a new concept, fires in WUI communities
have rapidly expanded in frequency and severity over the past few decades. The number of …
have rapidly expanded in frequency and severity over the past few decades. The number of …
Wildland fuel fundamentals and applications
RE Keane - 2015 - Springer
Wildland fire management throughout most of the civilized world is at a critical juncture on
how it spends the scant money allocated toward resource management. These funds could …
how it spends the scant money allocated toward resource management. These funds could …
Uncertainty associated with model predictions of surface and crown fire rates of spread
The degree of accuracy in model predictions of rate of spread in wildland fires is dependent
on the model's applicability to a given situation, the validity of the model's relationships, and …
on the model's applicability to a given situation, the validity of the model's relationships, and …
Autonomous kinetic modeling of biomass pyrolysis using chemical reaction neural networks
Modeling the burning processes of biomass such as wood, grass, and crops is crucial for the
modeling and prediction of wildland and urban fire behavior. Despite its importance, the …
modeling and prediction of wildland and urban fire behavior. Despite its importance, the …
[HTML][HTML] The hot-dry-windy index: A new fire weather index
AF Srock, JJ Charney, BE Potter, SL Goodrick - Atmosphere, 2018 - mdpi.com
Fire weather indices are commonly used by fire weather forecasters to predict when weather
conditions will make a wildland fire difficult to manage. Complex interactions at multiple …
conditions will make a wildland fire difficult to manage. Complex interactions at multiple …
[HTML][HTML] Machine learning methods and synthetic data generation to predict large wildfires
Wildfires are becoming more frequent in different parts of the globe, and the ability to predict
when and where they will occur is a complex process. Identifying wildfire events with high …
when and where they will occur is a complex process. Identifying wildfire events with high …
Pyro-ecophysiology: shifting the paradigm of live wildland fuel research
The most destructive wildland fires occur in mixtures of living and dead vegetation, yet very
little attention has been given to the fundamental differences between factors that control …
little attention has been given to the fundamental differences between factors that control …