Xin Lan

TL;DR: This work reconciles top-down and bottom-up methane emissions estimates in one of the country’s major natural gas production basins using easily replicable measurement and data integration techniques and reduces uncertainty in top- down estimates by using repeated mass balance measurements, as well as ethane as a fingerprint for source attribution.

TL;DR: This inventory's higher O&G emission estimate was due primarily to its more comprehensive activity factors and inclusion of emissions from fat-tail sites, which was higher than alternative inventories based on the United States Environmental Protection Agency (EPA) Greenhouse Gas Inventory, EPA Greenhouse gas Reporting Program, and Emissions Database for Global Atmospheric Research by factors of 1.5, 2.7, and 4.3.

TL;DR: This work designed a conceptual framework that functionally defines superemitting sites as those with the highest proportional loss rates (methane emitted relative to methane produced), and estimated total methane emissions from natural gas production sites in the Barnett Shale.

TL;DR: It was found that CH4 emissions from compressor stations and gas processing plants were substantially higher, with some "super emitters" having emission rates up to 3447 kg/h, more then 36,000-fold higher than reported by the Environmental Protection Agency (EPA) Greenhouse Gas Reporting Program (GHGRP).

TL;DR: Measurements of methane (CH4) emission rates observed at eight different high-emitting point sources in the Barnett Shale, Texas, are reported using aircraft-based methods performed as part of the Barnett Coordinated Campaign, demonstrating the importance of targeted sampling of "super-emitters" that may be missed by random sampling of a subset of the total.