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Ozone monitoring at remote sites using low-power instrumentation / John L. Korfmacher and Robert C. Musselman.

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Format:
Book
Government document
Author/Creator:
Korfmacher, John L., author.
Musselman, Robert C., author.
Contributor:
Rocky Mountain Research Station (Fort Collins, Colo.), issuing body.
Series:
Research note RMRS ; 65.
Research note RMRS ; 65
Language:
English
Subjects (All):
Ozone--Measurement--Instruments.
Ozone.
Physical Description:
1 online resource (7 pages) : illustrations (some color).
Place of Publication:
Fort Collins, CO : U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, [2014]
Summary:
Collection of non-urban ambient ozone data at regional or larger scales (for example, Peake and Fong 1990; Bytnerowicz et al. 2004) is cost- and labor-intensive. Collection efforts are often further complicated by difficulty of access to data collection sites, the need for climate-controlled facilities to house instrumentation, and a requirement for a connection to utility-grade (grid) power. Regional ozone is more often studied via modeling (for example, Kumar et al. 1994). Although nitrite-based passive samplers (Koutrakis et al. 1993; Vardoulakis et al. 2009) may be used to estimate seasonal and longer-term exposure levels and trends, these samplers are easily contaminated, are sometimes inaccurate, and provide an ozone value that represents accumulation over the entire sample period, ignoring the dynamics of the exposure during that time period. Estimates of other ozone metrics used for regulatory compliance (e.g., W126, AOT40, 8-hour averages) are not possible without continuous ozone data. More detailed knowledge of the daily and longer-term patterns of ozone exposure is vital to evaluating the impact of this pollutant on plant tissues (Musselman and Minick 2000).
Notes:
Caption title.
Title from Web page (viewed on Aug. 26, 2014).
"June 2014."
Includes bibliographical references (page 7).
Other Format:
Print version: Korfmacher, John L. Ozone monitoring at remote sites using low-power instrumentation
OCLC:
889234884

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