Toward Multiscale Measurement-Informed Methane Inventories: Reconciling Bottom-Up Site-Level Inventories with Top-Down Measurements Using Continuous Monitoring Systems.

Autor: Daniels WS; Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, Colorado 80401, United States., Wang JL; Department of Petroleum and Geosystems Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.; Energy Emissions Modeling and Data Lab, The University of Texas at Austin, Austin, Texas 78712, United States., Ravikumar AP; Department of Petroleum and Geosystems Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.; Energy Emissions Modeling and Data Lab, The University of Texas at Austin, Austin, Texas 78712, United States., Harrison M; SLR International, Bothell, Washington 98021, United States., Roman-White SA; Cheniere Energy Inc., Houston, Texas 77002, United States., George FC; Cheniere Energy Inc., Houston, Texas 77002, United States., Hammerling DM; Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, Colorado 80401, United States.; Energy Emissions Modeling and Data Lab, The University of Texas at Austin, Austin, Texas 78712, United States.

Publikováno v: Environmental science & technology [Environ Sci Technol] 2023 Aug 15; Vol. 57 (32), pp. 11823-11833. Date of Electronic Publication: 2023 Jul 28.