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Details

Autor(en) / Beteiligte
Titel
Hydrocarbon emissions characterization in the Colorado Front Range: A pilot study
Ist Teil von
  • Journal of Geophysical Research: Atmospheres, 2012-02, Vol.117 (D4), p.n/a
Ort / Verlag
Washington, DC: Blackwell Publishing Ltd
Erscheinungsjahr
2012
Quelle
Wiley Online Library - AutoHoldings Journals
Beschreibungen/Notizen
  • The multispecies analysis of daily air samples collected at the NOAA Boulder Atmospheric Observatory (BAO) in Weld County in northeastern Colorado since 2007 shows highly correlated alkane enhancements caused by a regionally distributed mix of sources in the Denver‐Julesburg Basin. To further characterize the emissions of methane and non‐methane hydrocarbons (propane, n‐butane, i‐pentane, n‐pentane and benzene) around BAO, a pilot study involving automobile‐based surveys was carried out during the summer of 2008. A mix of venting emissions (leaks) of raw natural gas and flashing emissions from condensate storage tanks can explain the alkane ratios we observe in air masses impacted by oil and gas operations in northeastern Colorado. Using the WRAP Phase III inventory of total volatile organic compound (VOC) emissions from oil and gas exploration, production and processing, together with flashing and venting emission speciation profiles provided by State agencies or the oil and gas industry, we derive a range of bottom‐up speciated emissions for Weld County in 2008. We use the observed ambient molar ratios and flashing and venting emissions data to calculate top‐down scenarios for the amount of natural gas leaked to the atmosphere and the associated methane and non‐methane emissions. Our analysis suggests that the emissions of the species we measured are most likely underestimated in current inventories and that the uncertainties attached to these estimates can be as high as a factor of two. Key Points Emissions from oil and gas operations in the Denver Julesburg Basin Multispecies observations are used to interpret CH4 variability in NE Colorado Atmospheric observations are used to evaluate bottom‐up inventories
Sprache
Englisch
Identifikatoren
ISSN: 0148-0227, 2169-897X
eISSN: 2156-2202, 2169-8996
DOI: 10.1029/2011JD016360
Titel-ID: cdi_proquest_journals_1020329648

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