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Source Partitioning of Methane Emissions and its Seasonality in the U.S. Midwest.
Chen, Zichong; Griffis, Timothy J; Baker, John M; Millet, Dylan B; Wood, Jeffrey D; Dlugokencky, Edward J; Andrews, Arlyn E; Sweeney, Colm; Hu, Cheng; Kolka, Randall K.
  • Chen Z; Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, USA.
  • Griffis TJ; Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, USA.
  • Baker JM; Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, USA.
  • Millet DB; Agriculture Research Service, United States Department of Agriculture, St. Paul, MN, USA.
  • Wood JD; Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, USA.
  • Dlugokencky EJ; School of Natural Resources, University of Missouri, Columbia, MO, USA.
  • Andrews AE; Global Monitoring Division, NOAA Earth System Research Laboratory, Boulder, CO, USA.
  • Sweeney C; Global Monitoring Division, NOAA Earth System Research Laboratory, Boulder, CO, USA.
  • Hu C; Global Monitoring Division, NOAA Earth System Research Laboratory, Boulder, CO, USA.
  • Kolka RK; Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA.
J Geophys Res Biogeosci ; 123(2): 646-659, 2018 Feb.
Article en En | MEDLINE | ID: mdl-33614365
ABSTRACT
The methane (CH4) budget and its source partitioning are poorly constrained in the Midwestern United States. We used tall tower (185 m) aerodynamic flux measurements and atmospheric scale factor Bayesian inversions to constrain the monthly budget and to partition the total budget into natural (e.g., wetlands) and anthropogenic (e.g., livestock, waste, and natural gas) sources for the period June 2016 to September 2017. Aerodynamic flux observations indicated that the landscape was a CH4 source with a mean annual CH4 flux of +13.7 ± 0.34 nmol m-2 s-1 and was rarely a net sink. The scale factor Bayesian inversion analyses revealed a mean annual source of +12.3 ± 2.1 nmol m-2 s-1. Flux partitioning revealed that the anthropogenic source (7.8 ± 1.6 Tg CH4 yr-1) was 1.5 times greater than the bottom-up gridded United States Environmental Protection Agency inventory, in which livestock and oil/gas sources were underestimated by 1.8-fold and 1.3-fold, respectively. Wetland emissions (4.0 ± 1.2 Tg CH4 yr-1) were the second largest source, accounting for 34% of the total budget. The temporal variability of total CH4 emissions was dominated by wetlands with peak emissions occurring in August. In contrast, emissions from oil/gas and other anthropogenic sources showed relatively weak seasonality.