scholarly journals Methane Emissions from Rice Production in the United States — A Review of Controlling Factors and Summary of Research

10.5772/62025 ◽  
2016 ◽  
Author(s):  
Alden D. Smartt ◽  
Kristofor R. Brye ◽  
Richard J. Norman
Keyword(s):  
United States ◽  
The United States ◽  
Methane Emissions ◽  
Controlling Factors ◽  
Rice Production

scholarly journals Methane Emissions from Process Equipment at Natural Gas Production Sites in the United States: Liquid Unloadings

2014 ◽  
Vol 49 (1) ◽  
pp. 641-648 ◽  
Author(s):  
David T. Allen ◽  
David W. Sullivan ◽  
Daniel Zavala-Araiza ◽  
Adam P. Pacsi ◽  
Matthew Harrison ◽  
...  
Keyword(s):  
United States ◽  
Natural Gas ◽  
The United States ◽  
Methane Emissions ◽  
Gas Production ◽  
Process Equipment ◽  
Natural Gas Production

scholarly journals Methane Emissions from Natural Gas Production Sites in the United States: Data Synthesis and National Estimate

2018 ◽  
Vol 52 (21) ◽  
pp. 12915-12925 ◽  
Author(s):  
Mark Omara ◽  
Naomi Zimmerman ◽  
Melissa R. Sullivan ◽  
Xiang Li ◽  
Aja Ellis ◽  
...  
Keyword(s):  
United States ◽  
Natural Gas ◽  
The United States ◽  
Methane Emissions ◽  
Gas Production ◽  
Data Synthesis ◽  
Natural Gas Production ◽  
States Data

scholarly journals Methane emissions from 20 landfills across the United States using vertical radial plume mapping

2011 ◽  
Vol 62 (2) ◽  
pp. 183-197 ◽  
Author(s):  
C. Douglas Goldsmith ◽  
Jeffrey Chanton ◽  
Tarek Abichou ◽  
Nathan Swan ◽  
Roger Green ◽  
...  
Keyword(s):  
United States ◽  
The United States ◽  
Methane Emissions

scholarly journals Methane emissions in the United States, Canada, and Mexico: Evaluation of national methane emission inventories and sectoral trends by inverse analysis of in situ (GLOBALVIEWplus CH<sub>4</sub> ObsPack) and satellite (GOSAT) atmospheric observations

2021 ◽  
Author(s):  
Xiao Lu ◽  
Daniel J. Jacob ◽  
Haolin Wang ◽  
Joannes D. Maasakkers ◽  
Yuzhong Zhang ◽  
...  
Keyword(s):  
Climate Change ◽  
United States ◽  
Inverse Analysis ◽  
The United States ◽  
Methane Emissions ◽  
Anthropogenic Emissions ◽  
Emission Inventories ◽  
South Central ◽  
The Us

Abstract. We quantify methane emissions and their 2010–2017 trends by sector in the contiguous United States (CONUS), Canada, and Mexico by inverse analysis of in situ (GLOBALVIEWplus CH4 ObsPack) and satellite (GOSAT) atmospheric methane observations. The inversion uses as prior estimate the national anthropogenic emission inventories for the three countries reported by the US Environmental Protection Agency (EPA), Environment and Climate Change Canada (ECCC), and the Instituto Nacional de Ecologia y Cambio Climatico (INECC) in Mexico to the United Nations Framework Convention on Climate Change (UNFCCC), and thus serves as an evaluation of these inventories in terms of their magnitudes and trends. Emissions are optimized with a Gaussian mixture model (GMM) at 0.5° × 0.625° resolution and for individual years. Optimization is done analytically using log-normal error forms. This yields closed-form statistics of error estimates and information content on the posterior (optimized) estimates, allows better representation of the high tail of the emission distribution, and enables construction of a large ensemble of inverse solutions using different observations and assumptions. We find that GOSAT and in situ observations are largely consistent and complementary in the optimization of methane emissions for North America. Mean 2010–2017 anthropogenic emissions from our base GOSAT + in situ inversion, with ranges from the inversion ensemble, are 36.9 (32.5–37.8) Tg a−1 for CONUS, 5.3 (3.6–5.7) Tg a−1 for Canada, and 6.0 (4.7–6.1) Tg a−1 for Mexico. These are higher than the most recent reported national inventories of 26.0 Tg a−1 for the US (EPA), 4.0 Tg a−1 for Canada (ECCC), and 5.0 Tg a−1 for Mexico (INECC). The correction in all three countries is largely driven by a factor of 2 underestimate in emissions from the oil sector with major contributions from the south-central US, western Canada, and southeast Mexico. Total CONUS anthropogenic emissions in our inversion peak in 2014, in contrast to the EPA report of a steady decreasing trend over 2010–2017. This reflects combined effects of increases in emissions from the oil and landfill sectors, decrease from the gas, and flat emissions from the livestock and coal sectors. We find decreasing trends in Canadian and Mexican anthropogenic methane emissions over the 2010–2017 period, mainly driven by oil and gas emissions. Our best estimates of mean 2010–2017 wetland emissions are 8.4 (6.4–10.6) Tg a−1 for CONUS, 9.9 (7.8–12.0) Tg a−1 for Canada, and 0.6 (0.4–0.6) Tg a−1 for Mexico. Wetland emissions in CONUS show an increasing trend of 2.6 (1.7–3.8) % a−1 over 2010–2017 correlated with precipitation.

scholarly journals Methane Emissions from Process Equipment at Natural Gas Production Sites in the United States: Pneumatic Controllers

2014 ◽  
Vol 49 (1) ◽  
pp. 633-640 ◽  
Author(s):  
David T. Allen ◽  
Adam P. Pacsi ◽  
David W. Sullivan ◽  
Daniel Zavala-Araiza ◽  
Matthew Harrison ◽  
...  
Keyword(s):  
United States ◽  
Natural Gas ◽  
The United States ◽  
Methane Emissions ◽  
Gas Production ◽  
Process Equipment ◽  
Natural Gas Production

scholarly journals Measurements of methane emissions at natural gas production sites in the United States

2013 ◽  
Vol 110 (44) ◽  
pp. 17768-17773 ◽  
Author(s):  
D. T. Allen ◽  
V. M. Torres ◽  
J. Thomas ◽  
D. W. Sullivan ◽  
M. Harrison ◽  
...  
Keyword(s):  
United States ◽  
Natural Gas ◽  
The United States ◽  
Methane Emissions ◽  
Gas Production ◽  
Natural Gas Production

scholarly journals Methane Emissions from the Natural Gas Transmission and Storage System in the United States

2015 ◽  
Vol 49 (15) ◽  
pp. 9374-9383 ◽  
Author(s):  
Daniel J. Zimmerle ◽  
Laurie L. Williams ◽  
Timothy L. Vaughn ◽  
Casey Quinn ◽  
R. Subramanian ◽  
...  
Keyword(s):  
United States ◽  
Natural Gas ◽  
Storage System ◽  
The United States ◽  
Methane Emissions ◽  
Natural Gas Transmission ◽  
And Storage

scholarly journals Daily Satellite Observations of Methane from Oil and Gas Production Regions in the United States

2020 ◽  
Author(s):  
Pieternel Levelt ◽  
Pepijn Veefkind ◽  
Esther Roosenbrand ◽  
John Lin ◽  
Jochen Landgraf ◽  
...  
Keyword(s):  
United States ◽  
Natural Gas ◽  
Oil And Gas ◽  
The United States ◽  
Methane Emissions ◽  
Gas Production ◽  
Oil And Gas Production ◽  
Natural Gas Production ◽  
Oil And Natural Gas

&lt;p&gt;Production of oil and natural gas in North America is at an all-time high due to the development and use of horizontal drilling and hydraulic fracturing. Methane emissions associated with this industrial activity are a concern because of the contribution to climate radiative forcing. We present new measurements from the space-based TROPOspheric Monitoring Instrument (TROPOMI) launched in 2017 that show methane enhancements over production regions in the United States. Using methane and NO&lt;sub&gt;2&lt;/sub&gt; column measurements from the new TROPOMI instrument, we show that emissions from oil and gas production in the Uintah and Permian Basins can be observed in the data from individual overpasses. This is a vast improvement over measurements from previous satellite instruments, which typically needed to be averaged over a year or more to quantify trends and regional enhancements in methane emissions. In the Uintah Basin in Utah, TROPOMI methane columns correlated with in-situ measurements, and the highest columns were observed over the deepest parts of the basin, consistent with the accumulation of emissions underneath inversions. In the Permian Basin in Texas and New Mexico, methane columns showed maxima over regions with the highest natural gas production and were correlated with nitrogen-dioxide columns at a ratio that is consistent with results from in-situ airborne measurements. The improved detail provided by TROPOMI will likely enable the timely monitoring from space of methane and NO2 emissions associated with regular oil and natural gas production.&lt;/p&gt;

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