Catalog

Year

Displaying 1 - 10 of 1748

There is an urgent need for next-generation smoke research and forecasting (SRF) systems to meet the challenges of the growing air quality, health and safety concerns associated with wildland fire emissions. This review paper presents simulations and...

Person: Liu, Kochanski, Baker, Mell, Linn, Paugam, Mandel, Fournier, Jenkins, Goodrick, Achtemeier, Zhao, Ottmar, French, Larkin, Brown, Hudak, Dickinson, Potter, Clements, Urbanski, Prichard, Watts, McNamara
Year: 2019
Type: Document
Source: FRAMES

Peat fires are a global-scale source of carbon emissions and a leading cause of regional air quality deterioration, especially in Southeast Asia. The ignition and spread of peat fires are strongly affected by moisture, which acts as an energy sink....

Person: Hu, Christensen, Amin, Smith, Rein
Year: 2019
Type: Document
Source: FRAMES

The Working Group III contribution to the IPCC Fourth Assessment Report (AR4) focuses on new literature on the scientific, technological, environmental, economic and social aspects of mitigation of climate change, published since the IPCC Third...

Person: Metz, Davidson, Bosch, Dave, Meyer
Year: 2007
Type: Document
Source: FRAMES

 In this study we investigate the use of ΔPM2.5/ΔCO and ΔNOy/ΔCO normalized enhancement ratios (NERs) in identifying wildfire (WF) smoke events in urban areas. Nine urban ambient monitoring sites with adequate CO, PM2.5, and/or NOy measurements were...

Person: Laing, Jaffe, Slavens, Li, Wang
Year: 2017
Type: Document
Source: FRAMES

Ambient concentrations of O3, PM2.5, NH3, NO, NO2, HNO3, SO2 and VOCs were measured at Devils Postpile National Monument (DEPO) during the summer seasons of 2013 and 2014. The measurements were impacted by the Aspen and Rim Fires in 2013, and the...

Person: Burley, Bytnerowicz, Buhler, Zielinska, Schweizer, Cisneros, Schilling, Varela, McDaniel, Horn, Dulen
Year: 2016
Type: Document
Source: FRAMES

Fine (PM2.5) and coarse (PM10) particulate matter were monitored during the summer and fall of 2018 at Devils Postpile National Monument, California, USA. This remote site, located in the Sierra Nevada, was downwind of a number of wildland fires that...

Person: Schweizer, Cisneros, Buhler
Year: 2019
Type: Document
Source: FRAMES

Epidemiologists use prediction models to downscale (i.e., interpolate) air pollution exposure where monitoring data is insufficient. This study compares machine learning prediction models for ground-level ozone during wildfires, evaluating the...

Person: Watson, Telesca, Reid, Pfister, Jerrett
Year: 2019
Type: Document
Source: FRAMES

Wildfires emit O3 precursors but there are large variations in emissions, plume heights, and photochemical processing. These factors make it challenging to model O3 production from wildfires using Eulerian models. Here we describe a statistical...

Person: Gong, Kaulfus, Nair, Jaffe
Year: 2017
Type: Document
Source: FRAMES

Asthma is the most common pediatric disease in the USA. It has been consistently demonstrated that asthma symptoms are exacerbated by exposure to ozone. Ozone (O3) is a secondary pollutant produced when volatile organic compounds (VOCs) are oxidized in...

Person: Pratt, Gan, Ford Hotmann, Brey, Pierce, Fischer, Magzamen
Year: 2019
Type: Document
Source: FRAMES

A new statistical model for predicting daily ground level fine scale particulate matter (PM2.5) concentrations at monitoring sites in the western United States was developed and tested operationally during the 2016 and 2017 wildfire seasons. The model...

Person: Marsha, Larkin
Year: 2019
Type: Document
Source: FRAMES