Aircraft-Based Measurements of Point Source Methane Emissions in the Barnett Shale Basin

Aircraft-Based Measurements of Point Source Methane Emissions in the Barnett Shale Basin
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DOI:
10.1021/acs.est.5b00410
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发表时间:
2015-07-07
影响因子:
11.4
通讯作者:
Lyon, David
Lyon, David
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Lavoie, Tegan N.;Shepson, Paul B.;Lyon, David

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我们报告测量甲烷(CH 4)排放率观察到在八个不同的高排放点源在得克萨斯州的巴内特页岩,使用飞机为基础的方法进行的一部分,巴内特协调运动。在2013年10月进行的五次飞行中,我们量化了四个天然气加工厂、一个压缩机站和三个垃圾填埋场的甲烷排放率。将结果与其他飞机和地面测量的相同设施进行比较,并与基于收集和处理设施排放量的全国性研究以及向美国EPA温室气体报告计划(GHGRP)报告的2013年平均排放量的估计值进行比较。对于8个排放源,基于飞机的质量平衡方法的CH 4排放测量值比基于GHG RP的估计值大3.2-5.8倍。排放总量为7,022 +/-2,000 kg hr(-1),约占整个流域CH 4排放量的9%,这是在活动期间通过区域质量平衡飞行估算的。五个天然气管理设施的排放量测量结果是国家研究排放量的1.2-4.6倍。这项研究的结果被用来代表新制定的巴内特页岩库存中的“超级排放源”,证明了对“超级排放源”进行有针对性的抽样的重要性,这些抽样可能会被总数的一个子集的随机抽样所遗漏。
We report measurements of methane (CH4) emission rates observed at eight different high-emitting point sources in the Barnett Shale, Texas, using aircraft-based methods performed as part of the Barnett Coordinated Campaign. We quantified CH4 emission rates from four gas processing plants, one compressor station, and three landfills during five flights conducted in October 2013. Results are compared to other aircraft- and surface-based measurements of the same facilities, and to estimates based on a national study of gathering and processing facilities emissions and 2013 annual average emissions reported to the U.S. EPA Greenhouse Gas Reporting Program (GHGRP). For the eight sources, CH4 emission measurements from the aircraft-based mass balance approach were a factor of 3.2-5.8 greater than the GHGRP-based estimates. Summed emissions totaled 7022 +/- 2000 kg hr(-1), roughly 9% of the entire basin-wide CH4 emissions estimated from regional mass balance flights during the campaign. Emission measurements from five natural gas management facilities were 1.2-4.6 times larger than emissions based on the national study. Results from this study were used to represent "super-emitters" in a newly formulated Barnett Shale Inventory, demonstrating the importance of targeted sampling of "super-emitters" that may be missed by random sampling of a subset of the total.