Literature DB >> 26011292

Near-Field Characterization of Methane Emission Variability from a Compressor Station Using a Model Aircraft.

Brian J Nathan1, Levi M Golston2,3, Anthony S O'Brien2,3, Kevin Ross2,3, William A Harrison1, Lei Tao2,3, David J Lary1, Derek R Johnson4, April N Covington4, Nigel N Clark4, Mark A Zondlo2,3.   

Abstract

A model aircraft equipped with a custom laser-based, open-path methane sensor was deployed around a natural gas compressor station to quantify the methane leak rate and its variability at a compressor station in the Barnett Shale. The open-path, laser-based sensor provides fast (10 Hz) and precise (0.1 ppmv) measurements of methane in a compact package while the remote control aircraft provides nimble and safe operation around a local source. Emission rates were measured from 22 flights over a one-week period. Mean emission rates of 14 ± 8 g CH4 s(-1) (7.4 ± 4.2 g CH4 s(-1) median) from the station were observed or approximately 0.02% of the station throughput. Significant variability in emission rates (0.3-73 g CH4 s(-1) range) was observed on time scales of hours to days, and plumes showed high spatial variability in the horizontal and vertical dimensions. Given the high spatiotemporal variability of emissions, individual measurements taken over short durations and from ground-based platforms should be used with caution when examining compressor station emissions. More generally, our results demonstrate the unique advantages and challenges of platforms like small unmanned aerial vehicles for quantifying local emission sources to the atmosphere.

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Year:  2015        PMID: 26011292     DOI: 10.1021/acs.est.5b00705

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  6 in total

1.  Unconventional oil and gas development and risk of childhood leukemia: Assessing the evidence.

Authors:  Elise G Elliott; Pauline Trinh; Xiaomei Ma; Brian P Leaderer; Mary H Ward; Nicole C Deziel
Journal:  Sci Total Environ       Date:  2016-10-23       Impact factor: 7.963

2.  Estimating Regional Methane Emission Factors from Energy and Agricultural Sector Sources Using a Portable Measurement System: Case Study of the Denver-Julesburg Basin.

Authors:  Stuart N Riddick; Fancy Cheptonui; Kexin Yuan; Mercy Mbua; Rachel Day; Timothy L Vaughn; Aidan Duggan; Kristine E Bennett; Daniel J Zimmerle
Journal:  Sensors (Basel)       Date:  2022-09-29       Impact factor: 3.847

3.  An Overview of Small Unmanned Aerial Vehicles for Air Quality Measurements: Present Applications and Future Prospectives.

Authors:  Tommaso Francesco Villa; Felipe Gonzalez; Branka Miljievic; Zoran D Ristovski; Lidia Morawska
Journal:  Sensors (Basel)       Date:  2016-07-12       Impact factor: 3.576

4.  Cavity Ring-Down Methane Sensor for Small Unmanned Aerial Systems.

Authors:  Benjamin Martinez; Thomas W Miller; Azer P Yalin
Journal:  Sensors (Basel)       Date:  2020-01-14       Impact factor: 3.576

5.  Suitability of a Non-Dispersive Infrared Methane Sensor Package for Flux Quantification Using an Unmanned Aerial Vehicle.

Authors:  Adil Shah; Joseph Pitt; Khristopher Kabbabe; Grant Allen
Journal:  Sensors (Basel)       Date:  2019-10-29       Impact factor: 3.576

6.  Methods for quantifying methane emissions using unmanned aerial vehicles: a review.

Authors:  Jacob T Shaw; Adil Shah; Han Yong; Grant Allen
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2021-09-27       Impact factor: 4.226

  6 in total

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