Results 81 to 90 of about 616,360 (304)
Airborne forest fire research [PDF]
The research relating to airborne fire fighting systems is reviewed to provide NASA/Langley Research Center with current information on the use of aircraft in forest fire operations, and to identify research requirements for future operations.
Mattingly, G. S.
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Advanced Energy Materials, EarlyView.This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim +5 more
wiley +1 more source
AtmosphereForest fire regimes are undergoing systematic reorganization under climate change, particularly in monsoon–human coupled ecosystems such as Southeastern China, where risk dynamics remain poorly quantified. This study proposes a meteorology-driven machine
Dapeng Gong, Min Jing
doaj +1 more source
Defining fire issues in Malaysia and Indonesia through recent satellite technology: a review on MODIS fire detection and burned mapping [PDF]
, 2010 Forest fire, a global phenomenon, often leads to environmental degradation such as habitat damage and trans-boundary haze. In response to growing concerns over the burning of peat swamp forests, researchers have begun developing methods of detecting and
Mohd Razali, Sheriza +1 more
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Assessing Agricultural Green Total Factor Productivity in Latin America
Agribusiness, EarlyView.ABSTRACT The agricultural sector in Latin America plays a vital role in ensuring food security while impacting the environment. However, there remains a lack of analysis regarding the inputs responsible for pollution within its sub‐technologies. Hence, this article aims to assess agricultural green total factor productivity (TFP) through a novel ...
Tianxiang Li +2 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Broken scaling in the Forest Fire Model
, 2002 We investigate the scaling behavior of the cluster size distribution in the Drossel-Schwabl Forest Fire model (DS-FFM) by means of large scale numerical simulations, partly on (massively) parallel machines.
A. Honecker +13 more
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Advanced Intelligent Discovery, EarlyView.This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu +5 more
wiley +1 more source
A Review of Fire Interactions and Mass Fires
Journal of Combustion, 2011 The character of a wildland fire can change dramatically in the presence of another nearby fire. Understanding and predicting the changes in behavior due to fire-fire interactions cannot only be life-saving to those on the ground, but also be used to ...
Mark A. Finney, Sara S. McAllister
doaj +1 more source
Spatial Model of Land and Forest Fire Risk Index, Case Study in Central Kalimantan Province [PDF]
, 2012 This article describes spatial models of land and forest fire risk in Central Kalimantan. The models were established base on human factor and biophysical factor approaches.
Samsuri, S. (Samsuri) +2 more
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