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Topic
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Displaying 1 - 25 of 612
The article is concerned with the experimental study of the crown fire effect on atmospheric transport processes: the formation of induced turbulence in the vicinity of the fire source and the transport of aerosol combustion products in the atmosphere surface layer at low…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Effects, Models
Region(s): International
Keywords: crown fire, aerosols, mass transfer, atmosphere, wildfires, boreal forest, atmospheric processes
The Sub-Saharan African region suffers from a high concentration of pollutants from savannah fires, which adversely affect the environment and human health. This study aims to predict the ground-level concentrations (GLC) of pollutants emitted during savannah fires and evaluate…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Models
Region(s): International
Keywords: Guinea, Guinea savanna, savannah, PM - particulate matter, PM2.5, guidelines, ground-level concentrations, AERMOD - American Meteorological Society/United States Environmental Protection Agency Regulatory Model, sub-Saharan Africa
Recent extreme wildfire events (EWE) in Australia, the United States of America (USA), Greece and Portugal highlighted the seriousness of wildfire smoke impacts on society. Nowadays, about 2000 premature deaths occur annually in the USA due to chronic wildfire smoke exposure,…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Models, Safety
Region(s): International
Keywords: EWE - extreme wildfire event, smoke dispersion, Portugal, public health, smoke exposure, air quality, air pollution
This webinar is part of the ABoVE Northwest Territories-focus webinar series.
Person: Billmire, Vander Bilt
Year: 2022
Type: Media
Source: FRAMES
Topic(s): Climate, Emissions and Smoke, Fire Ecology, Fire Effects, Models, Weather
Region(s): Alaska, International
Keywords: NWT - Northwest Territories, ABoVE - NASA Arctic-Boreal Vulnerability Experiment, carbon storage, boreal peatlands, extreme drought, wildfire, FWI - Canadian Forest Fire Weather Index System, CanFIRE
Estimating the impact on air quality of the Portuguese 2017 forest fires with the new APIFLAME model
The extreme wildfires events recently registered in different parts of the world highlighted again the importance of wildfire smoke’s impact on the society and the economy. In Portugal, during the 2017 October wildland fires, several air quality monitoring stations from the…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Models
Region(s): International
Keywords: air quality, Portugal, smoke dispersion
This study analyzed the characteristics of changes in O3 concentration in a plume induced by a wildfire in Andong, South Korea, from 24 to 26 April 2020, using the Community Multi-scale Air Quality (CMAQ) model. Fire INventory from National Center for Atmospheric Research (FINN…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Models, Monitoring and Inventory
Region(s): International
Keywords: South Korea, CMAQ - Community Multiscale Air Quality Modeling System, biomass burning, wildfire, O3 - ozone, chemistry, process analysis, FINN - Fire Inventory of NCAR
The radiative forcing (RF) of volcanic sulfate is well quantified. However, the RF of pyrocumulonimbus (pyroCb) smoke with absorbing carbonaceous aerosols has not been considered in climate assessment reports. With the Community Earth System Model (CESM), we studied two record-…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Models
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: pyroCb, effective radiative forcing, wildfire, stratosphere, fast adjustments, Community Earth System Model
Fire and smoke object detection is of great significance due to the extreme destructive power of fire disasters. Most of the existing methods, whether traditional computer vision-based models with sensors or deep learning-based models have circumscribed application scenes with…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Intelligence, Models, Monitoring and Inventory
Region(s): International
Keywords: fire detection, smoke detection, dataset, object detection, DFS - Dataset for Fire and Smoke detection, deep learning
Forests, though very critical for life on Earth, are threatened by various factors and the frequently occurring forest fires are one of the significant causes. Forest fires drastically contribute to climate change on both regional and global scales. Forest fires-of both natural…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Models
Region(s): International
Keywords: forest fire, black carbon, Himalayan glaciers, radiative perturbation, WRF - Weather Research and Forecasting, India
Black (EBC) and Brown (BrC) Carbon are ubiquitous constituents of atmospheric particulate matter that affect people’s health, disrupt ecosystems, and modulate local and global climate. Tracking the local deposition and sources of these aerosol particles is essential to better…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Models, Monitoring and Inventory
Region(s): Southwest, International
Keywords: black carbon, brown carbon, troposphere, wildfires, PAX - photoacoustic extinctiometer, HYSPLIT - Hybrid Single-Particle Lagrangian Integrated Trajectory, planetary boundary layer, HRRR - High Resolution Rapid Refresh
Exposure to biomass smoke has been associated with a wide range of acute and chronic health outcomes. Over the past decades, the frequency and intensity of wildfires has increased in many areas, resulting in longer smoke episodes with higher concentrations of fine particulate…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Models, Safety
Region(s): International
Keywords: biomass smoke, exposure assessment, machine learning, PM2.5, PM - particulate matter, CanOSSEM - Canadian Optimized Statistical Smoke Exposure Model, Canada, air pollution
By producing a first-of-its-kind, decadal-scale wildfire plume rise climatology in the Western U.S. and Canada, we identify trends toward enhanced plume top heights, aerosol loading aloft, and near-surface smoke injection throughout the American West. Positive and significant…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Climate, Emissions and Smoke, Fire Behavior, Models
Region(s): California, Great Basin, Northern Rockies, Northwest, Rocky Mountain, Southwest, International
Keywords: fire plumes, wildfires, burn severity, air quality, aerosols, atmospheric science, climate change, environmental impacts, western Canada, PM - particulate matter, PM2.5
The inorganic chlorine (Cly) and odd nitrogen (NOy) chemical families influence stratospheric O3. In January 2020 Australian wildfires injected record-breaking amounts of smoke into the southern stratosphere. Within 1–2 months ground-based and satellite observations showed Cly…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Models
Region(s): International
Keywords: stratospheric chemistry, transport, sulfate aerosol chemistry, chlorine, chemistry, stratospheric smoke, stratospheric aerosol, wildfire, O3 - ozone, Australia
Smoke plumes are the first things seen from space when wildfires occur. Thus, fire smoke detection is important for early fire detection. Deep Learning (DL) models have been used to detect fire smoke in satellite imagery for fire detection. However, previous DL-based research…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Models, Monitoring and Inventory
Region(s): International
Keywords: remote sensing, multispectral satellite imagery, smoke detection, fire detection, moderate spatial resolution, deep learning, CNN - convolution neural network, MODIS - Moderate Resolution Imaging Spectroradiometer
Persistent and intensive wildland dense-fires (DFs) release substantial amounts of airborne pollutants, resulting in a sharp increase in emissions and leading to serious impacts on the environment and human health over extensive geographical areas. It is challenging to…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Models, Monitoring and Inventory
Region(s): International
Keywords: machine learning, MODIS - Moderate Resolution Imaging Spectroradiometer, FINN - Fire Inventory of NCAR, wildfire, density-based clustering, human-caused fires, Indochina Peninsula
Smoke from wildfires or burning biomass directly affects air quality and weather through modulating cloud microphysics and radiation. A simple wildfire emission coupling of black carbon (BC) and organic carbon (OC) with microphysics was implemented using the Weather Research and…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fuels, Models
Region(s): International
Keywords: pyroconvection, pyroconvective clouds, WRF-Fire, wildfire, wildfire modeling, black carbon, organic carbon, atmospheric moisture, fuel moisture
Purpose of Review: To review the recent literature on the effects of wildfire smoke (WFS) exposure on asthma and allergic disease, and on potential mechanisms of disease.
Recent Findings: Spatiotemporal modeling and increased ground-level monitoring data are allowing a more…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Models, Safety, Wildland-Urban Interface (WUI)
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: wildfire, asthma, allergy, PM - particulate matter, PM2.5, health effects
Extreme enhancements in the total columns of carbon monoxide (CO), peroxyacetyl nitrate (PAN), ethylene (C2H4), methanol (CH3OH), and formic acid (HCOOH) were observed over the Canadian high Arctic during the period of 17-22 August 2017 by a ground-based Fourier transform…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Models
Region(s): International
Keywords: NWT - Northwest Territories, British Columbia, Canada, plume transport
The present study contributes to an increased understanding of pyro-convection phenomena by using a fire-atmosphere coupled simulation, and investigates in detail the large-scale meteorological conditions affecting Portugal during the occurrence of multiple mega-fires events on…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Models
Region(s): International
Keywords: pyro-convection, Portugal, pyroCb, pyrocumulonimbus, PyroCu, pyrocumulus, mega-fires, megafires, MesoNH atmosphere model, ForeFire model
The emission of black carbon (BC) particles, which cause atmospheric warming by affecting radiation budget in the atmosphere, is the result of an incomplete combustion process of organic materials. The recent wildfire event during the summer 2019–2020 in south-eastern Australia…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Models
Region(s): International
Keywords: black carbon, C - carbon, aethalometer, Black Summer fires, 2019/2020 Australian wildfires, radiative forcing, aerosol direct effects, aerosol indirect effects, WRF-Chem, New South Wales
Forest fire research over the last several decades has improved the understanding of their emissions and impacts. Nevertheless, the evolution of forest fire plumes remains poorly quantified and understood. Here, a Lagrangian chemical transport model, the Forward Atmospheric…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Models
Region(s): International
Keywords: Lagrangian particle transport model, Eulerian chemical scheme, airborne measurements, boreal forest, fire plumes, Saskatchewan, Canada
Wildfires negatively affect the atmosphere and ecological environment. The rapid identification of smoke is helpful for early fire detection and positioning, which are significant for fire early warning, fire point tracing, and atmospheric environment monitoring. The purpose of…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Mapping, Models, Monitoring and Inventory
Region(s): International
Keywords: smoke detection, concentration, inversion, Mahalanobis distance, fire detection, fire positioning, satellite imagery
Fires and their associated carbon and air pollutant emissions have a broad range of environmental and societal impacts, including negative effects on human health, damage to terrestrial ecosystems, and indirect effects that promote climate change. Previous studies investigated…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Climate, Economics, Emissions and Smoke, Models, Social Science
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: wildfire, climate change, biomass, change, economic development, 21st Century
Substantial natural environmental damage and economic losses are caused by fire. For this problem, automatic fire-smoke detection and identification are needed. Fire-smoke detection methods based on vision still suffer from significant challenges that fail to balance model…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Intelligence, Models
Region(s): International
Keywords: fire detection, smoke detection, YOLOv3, CNN - convolution neural network, attention mechanism, anchor-free mechanism, lightweight backbone
Open fires produce pollutants that critically harm human health. Differences in emission characteristics and toxic substances from the burning of different biomasses lead to distinct exposure patterns. However, the details of these exposure patterns are still poorly known due to…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Models
Region(s): International
Keywords: wildfires, open fires, agricultural fires, China, cross-region transport, air pollutant exposure, PM - particulate matter, O3 - ozone, HYSPLIT - Hybrid Single-Particle Lagrangian Integrated Trajectory