globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2015.05.042
Scopus记录号: 2-s2.0-84930640733
论文题名:
Estimation of point source fugitive emission rates from a single sensor time series: A conditionally-sampled Gaussian plume reconstruction
作者: Foster-Wittig T; A; , Thoma E; D; , Albertson J; D
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 115
起始页码: 101
结束页码: 109
语种: 英语
英文关键词: Fugitive emissions ; Gaussian dispersion ; Methane ; Natural gas ; Oil ; OTM 33A
Scopus关键词: Algorithms ; Gas emissions ; Inverse problems ; Methane ; Natural gas ; Natural gas well production ; Natural gas wells ; Oil wells ; Controlled release ; Fugitive emissions ; Gaussian dispersions ; Gaussian emission ; Oil ; Oil and gas well ; OTM 33A ; Standard deviation ; Gaussian distribution ; dispersion ; emission inventory ; Gaussian method ; methane ; plume ; point source ; remote sensing ; sensor ; time series ; wind direction ; Article ; Gaussian plume reconstruction ; geometry ; kernel method ; oil and gas field ; plume ; plume dispersion ; priority journal ; time series analysis ; United States ; United States ; Wyoming
Scopus学科分类: Environmental Science: Water Science and Technology ; Earth and Planetary Sciences: Earth-Surface Processes ; Environmental Science: Environmental Chemistry
英文摘要: Emerging mobile fugitive emissions detection and measurement approaches require robust inverse source algorithms to be effective. Two Gaussian plume inverse approaches are described for estimating emission rates from ground-level point sources observed from remote vantage points. The techniques were tested using data from 41 controlled methane release experiments (14 studies) and further investigated using 7 field studies executed downwind of oil and gas well pads in Wyoming. Analyzed measurements were acquired from stationary observation locations 18-106m downwind of the emission sources. From the fluctuating wind direction, the lateral plume geometry is reconstructed using a derived relationship between the wind direction and crosswind plume position. The crosswind plume spread is determined with both modeled and reconstructed Gaussian plume approaches and estimates of source emission rates are found through inversion. The source emission rates were compared to a simple point source Gaussian emission estimation approach that is part of Draft EPA Method OTM 33A. Compared to the known release rates, the modeled, reconstructed, and point source Gaussian controlled release results yield average percent errors of-5%, -2%, and 6% with standard deviations of 29%, 25%, and 37%, respectively. Compared to each other, the three methods agree within 30% for 78% of all 48 observations (41 CR and 7 Wyoming). © 2015 Elsevier Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81686
Appears in Collections:气候变化事实与影响

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作者单位: Duke University, Department of Civil and Environmental Engineering, Durham, NC, United States; U.S. EPA, Office of Research and Development, National Risk Management Research Laboratory, 109 TW Alexander Drive, E343-02, RTPNC, United States

Recommended Citation:
Foster-Wittig T,A,, Thoma E,et al. Estimation of point source fugitive emission rates from a single sensor time series: A conditionally-sampled Gaussian plume reconstruction[J]. Atmospheric Environment,2015-01-01,115
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