Alaska Reference Database

The Alaska Reference Database originated as the standalone Alaska Fire Effects Reference Database, a ProCite reference database maintained by former BLM-Alaska Fire Service Fire Ecologist Randi Jandt. It was expanded under a Joint Fire Science Program grant for the FIREHouse project (The Northwest and Alaska Fire Research Clearinghouse). It is now maintained by the Alaska Fire Science Consortium and FRAMES, and is hosted through the FRAMES Resource Catalog. The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.

 

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Displaying 1 - 10 of 14842

Background: Wildfires can have detrimental impacts on the environment and urban structures when they spread from wildland areas.

Aims: In this work, a numerical study was performed to investigate the effect of downslope terrain on fire-induced...

Person: Edalati-nejad, Ghodrat, Sharples
Created Year: 2023
Resource Group: Document
Source: FRAMES

Background: Smouldering wildfires emit large amounts of carbon, toxic gases and particulate matter (PM), posing health and environmental hazards. It is challenging to conduct field measurements on wildfire emissions, and available instruments are...

Person: Cui, Dossi, Rein
Created Year: 2023
Resource Group: Document
Source: FRAMES

There is a complex interaction between lightning-caused fire behavior and the flora and fauna of the forest, which involves the influence of a large number of ecological factors. However, more comprehensive simulation studies under multi-system...

Person: Ouyang, Wang, Du
Created Year: 2023
Resource Group: Document
Source: FRAMES

The 9th International Conference on Forest Fire Research, organised by the Forest Fire Research Center of the Association for Developmental of Industrial Aerodynamics every 4 years since 1990, was held in November 2022 in Coimbra, Portugal. The...

Person: Flannigan, Viegas, Ribeiro
Created Year: 2023
Resource Group: Document
Source: FRAMES

The increasing frequency and severity of forest fires necessitate early detection and rapid response to mitigate their impact. This project aims to design a cyber-physical system for early detection and rapid response to forest fires using advanced...

Person: Battistoni, Cantone, Martino, Passamano, Romano, Sebillo, Vitiello
Created Year: 2023
Resource Group: Document
Source: FRAMES

The most extreme manifestation of a fire–weather interaction is the formation of pyrocumulonimbus (pyroCb) thunderstorms, triggered by super-heated updrafts, which can eject smoke at altitudes exceeding 20 Km. In this study, we investigated climate-...

Person: Misios, Chrysanthou, Tsigaridis, Amiridis
Created Year: 2023
Resource Group: Document
Source: FRAMES

Forest fires rank among the costliest and deadliest natural disasters globally. Identifying the smoke generated by forest fires is pivotal in facilitating the prompt suppression of developing fires. Nevertheless, succeeding techniques for detecting...

Person: Saydirasulovich, Mukhiddinov, Djuraev, Abdusalomov, Cho
Created Year: 2023
Resource Group: Document
Source: FRAMES

Wildfires affect and change the burned sites’ condition, functionality, and ecosystem services. Altered hydrologic processes, such as runoff, increased streamflows, and sediment transport, are only a few examples resulting from burned soils, vegetation...

Person: Papaioannou, Alamanos, Maris
Created Year: 2023
Resource Group: Document
Source: FRAMES

A practitioner-oriented overview of LANDFIRE with a focus on fuels and how they react to modeling techniques. The subject area of discussion is the 2022 Cooks Peak fire located in northern New Mexico. This webinar is technical in its application and...

Person: Smail, Martin
Created Year: 2023
Resource Group: Media
Source: FRAMES

Wildland fires, a natural calamity, pose a significant threat to both human lives and the environment while causing extensive economic damage. As the use of Unmanned Aerial Vehicles (UAVs) with computer vision in disaster management continues to grow,...

Person: Islam, Masud, Ahmed, Jafar, Ullah, Islam, Shatabda, Islam
Created Year: 2023
Resource Group: Document
Source: FRAMES