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1.
Sci Total Environ ; 637-638: 1137-1149, 2018 Oct 01.
Article in English | MEDLINE | ID: mdl-29801207

ABSTRACT

The Rim Fire was one of the largest wildfires in California history, burning over 250,000 acres during August and September 2013 affecting air quality locally and regionally in the western U.S. Routine surface monitors, remotely sensed data, and aircraft based measurements were used to assess how well the Community Multiscale Air Quality (CMAQ) photochemical grid model applied at 4 and 12 km resolution represented regional plume transport and chemical evolution during this extreme wildland fire episode. Impacts were generally similar at both grid resolutions although notable differences were seen in some secondary pollutants (e.g., formaldehyde and peroxyacyl nitrate) near the Rim fire. The modeling system does well at capturing near-fire to regional scale smoke plume transport compared to remotely sensed aerosol optical depth (AOD) and aircraft transect measurements. Plume rise for the Rim fire was well characterized as the modeled plume top was consistent with remotely sensed data and the altitude of aircraft measurements, which were typically made at the top edge of the plume. Aircraft-based lidar suggests O3 downwind in the Rim fire plume was vertically stratified and tended to be higher at the plume top, while CMAQ estimated a more uniformly mixed column of O3. Predicted wildfire ozone (O3) was overestimated both at the plume top and at nearby rural and urban surface monitors. Photolysis rates were well characterized by the model compared with aircraft measurements meaning aerosol attenuation was reasonably estimated and unlikely contributing to O3 overestimates at the top of the plume. Organic carbon was underestimated close to the Rim fire compared to aircraft data, but was consistent with nearby surface measurements. Periods of elevated surface PM2.5 at rural monitors near the Rim fire were not usually coincident with elevated O3.


Subject(s)
Air Pollutants/analysis , Environmental Monitoring , Models, Chemical , Wildfires , Air Pollution/statistics & numerical data , Aircraft , California , Models, Theoretical , Ozone , Satellite Imagery
2.
Nurs Mirror ; 146(2): 24, 1978 Jan 12.
Article in English | MEDLINE | ID: mdl-341089
3.
Nurs Mirror Midwives J ; 130(7): 42, 1970 Feb 13.
Article in English | MEDLINE | ID: mdl-5198941
4.
Nurs Mirror Midwives J ; 129(9): 33-4, 1969 Aug 29.
Article in English | MEDLINE | ID: mdl-5195147
7.
Nurs Mirror Midwives J ; 122(11): 12-3, 1966 Jun 10.
Article in English | MEDLINE | ID: mdl-5177160
8.
Am J Pract Nurs ; 2(3): 114-7, 1966 May.
Article in English | MEDLINE | ID: mdl-5325133
9.
Nurs Mirror Midwives J ; : 615, 1966 Feb 25.
Article in English | MEDLINE | ID: mdl-5177019
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