Results 41 to 50 of about 808,816 (180)

The Alberta smoke plume observation study [PDF]

Earth System Science Data, 2018
A field project was conducted to observe and measure smoke plumes from wildland fires in Alberta. This study used handheld inclinometer measurements and photos taken at lookout towers in the province.
K. Anderson, A. Pankratz, C. Mooney, K. Fleetham   +3 more
doaj   +1 more source

Could the exception become the rule? ‘Uncontrollable’ air pollution events in the US due to wildland fires

Environmental Research Letters, 2021
Exceptional events occur when air pollution in a specific location exceeds the National Ambient Air Quality Standards (NAAQS) due to an event that cannot be reasonably attributed to human activities, such as a wildland fire.
Liji M David, A R Ravishankara, Steven J Brey, Emily V Fischer, John Volckens, Sonia Kreidenweis   +5 more
doaj   +1 more source

Where There Is Smoke: Introduction to the Virtual Special Issue of Health Impacts of Wildland Fire Smoke Exposure - Selected Papers From the 2nd International Smoke Symposium [PDF]

Science of the Total Environment, 2018
Jessica L. McCarty
exaly   +2 more sources

Expanding number of Western US urban centers face declining summertime air quality due to enhanced wildland fire activity

Environmental Research Letters, 2021
Combining multiple sources of information on atmospheric composition, wildland fire emissions, and fire area burned, we link decadal air quality trends in Western US urban centers with wildland fire activity during the months of August and September for ...
T Y Wilmot, A G Hallar, J C Lin, D V Mallia   +3 more
doaj   +1 more source

Incorporating a Canopy Parameterization within a Coupled Fire-Atmosphere Model to Improve a Smoke Simulation for a Prescribed Burn

Atmosphere, 2020
Forecasting fire growth, plume rise and smoke impacts on air quality remains a challenging task. Wildland fires dynamically interact with the atmosphere, which can impact fire behavior, plume rises, and smoke dispersion.
Derek V. Mallia, Adam K. Kochanski, Shawn P. Urbanski, Jan Mandel, Angel Farguell, Steven K. Krueger   +5 more
doaj   +1 more source

SWIFT: Simulated Wildfire Images for Fast Training Dataset

Remote Sensing
Wildland fires cause economic and ecological damage with devastating consequences, including loss of life. To reduce these risks, numerous fire detection and recognition systems using deep learning techniques have been developed.
Luiz Fernando, Rafik Ghali, Moulay A. Akhloufi   +2 more
doaj   +1 more source

Assessing Forest Canopy Impacts on Smoke Concentrations Using a Coupled Numerical Model

Atmosphere, 2019
The impact of a forest canopy on smoke concentration is assessed by applying a numerical weather prediction model coupled with a Lagrangian particle dispersion model to two low-intensity wildland (prescribed) fires in the New Jersey Pine Barrens.
Joseph J. Charney, Michael T. Kiefer, Shiyuan Zhong, Warren E. Heilman, Jovanka Nikolic, Xindi Bian, John L. Hom, Kenneth L. Clark, Nicholas S. Skowronski, Michael R. Gallagher, Matthew Patterson, Yongqiang Liu, Christie Hawley   +12 more
doaj   +1 more source

Determining the Impact of Wildland Fires on Ground Level Ambient Ozone Levels in California

Atmosphere, 2020
Wildland fire smoke is visible and detectable with remote sensing technology. Using this technology to assess ground level pollutants and the impacts to human health and exposure is more difficult.
Ricardo Cisneros, Haiganoush K. Preisler, Donald Schweizer, Hamed Gharibi   +3 more
doaj   +1 more source

Wildland Firefighter Smoke Exposure Study [PDF]

, 2013
This report addresses exposure to smoke from wildland and prescribed fires encountered by wildland firefighters. Smoke from vegetation as well as off-gasses from equipment such as chain saws, pumps, and drip torches are accounted for. Section II provides
Broyles, George Anthony
core   +1 more source

Optimized Spatial Ensemble Approaches for Approximating the Fire Weather Index With Interpolation

Environmetrics, Volume 37, Issue 8, December 2026.
ABSTRACT Wildland fire science and management rely on modeling indicators of wildland fire risk, such as the Fire Weather Index (FWI). Spatial interpolation methods can estimate FWI across a region, but accuracy can vary with observation density and daily spatial dependencies.
Shiwen Liu, Kevin Granville
wiley   +1 more source