scholarly journals Impact of Warming on Greenhouse Gas Production and Microbial Diversity in Anoxic Peat From a Sphagnum-Dominated Bog (Grand Rapids, Minnesota, United States)

2019 ◽  
Vol 10 ◽  
Author(s):  
Max Kolton ◽  
Ansley Marks ◽  
Rachel M. Wilson ◽  
Jeffrey P. Chanton ◽  
Joel E. Kostka
Keyword(s):  
United States ◽  
Microbial Diversity ◽  
Greenhouse Gas ◽  
Gas Production ◽  
Grand Rapids

scholarly journals Analysis of Microbial Diversity and Greenhouse Gas Production of Decaying Pine Logs

Forests ◽  
2017 ◽  
Vol 8 (7) ◽  
pp. 224 ◽  
Author(s):  
Roberta Pastorelli ◽  
Alessandro Agnelli ◽  
Isabella De Meo ◽  
Anna Graziani ◽  
Alessandro Paletto ◽  
...  
Keyword(s):  
Microbial Diversity ◽  
Greenhouse Gas ◽  
Gas Production

scholarly journals Greenhouse Gas Production and Transport in Desert Soils of the Southwestern United States

2018 ◽  
Vol 32 (11) ◽  
pp. 1703-1717 ◽  
Author(s):  
Erik Oerter ◽  
Jennifer V. Mills ◽  
Gregory E. Maurer ◽  
Laura Nielsen Lammers ◽  
Ronald Amundson
Keyword(s):  
United States ◽  
Greenhouse Gas ◽  
Gas Production ◽  
Southwestern United States ◽  
Desert Soils

scholarly journals Closing the methane gap in US oil and natural gas production emissions inventories

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jeffrey S. Rutherford ◽  
Evan D. Sherwin ◽  
Arvind P. Ravikumar ◽  
Garvin A. Heath ◽  
Jacob Englander ◽  
...  
Keyword(s):  
United States ◽  
Natural Gas ◽  
Greenhouse Gas ◽  
Spatial Scales ◽  
Field Measurements ◽  
Field Studies ◽  
The United States ◽  
Gas Production ◽  
Component Level ◽  
Oil And Natural Gas

AbstractMethane (CH4) emissions from oil and natural gas (O&NG) systems are an important contributor to greenhouse gas emissions. In the United States, recent synthesis studies of field measurements of CH4 emissions at different spatial scales are ~1.5–2× greater compared to official greenhouse gas inventory (GHGI) estimates, with the production-segment as the dominant contributor to this divergence. Based on an updated synthesis of measurements from component-level field studies, we develop a new inventory-based model for CH4 emissions, for the production-segment only, that agrees within error with recent syntheses of site-level field studies and allows for isolation of equipment-level contributions. We find that unintentional emissions from liquid storage tanks and other equipment leaks are the largest contributors to divergence with the GHGI. If our proposed method were adopted in the United States and other jurisdictions, inventory estimates could better guide CH4 mitigation policy priorities.

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

Processes affecting greenhouse gas production in experimental boreal reservoirs

2013 ◽  
Vol 27 (2) ◽  
pp. 567-577 ◽  
Author(s):  
Jason J. Venkiteswaran ◽  
Sherry L. Schiff ◽  
Vincent L. St. Louis ◽  
Cory J. D. Matthews ◽  
Natalie M. Boudreau ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Gas Production

A model-based approach to measuring denitrification and greenhouse gas production in lakes

2021 ◽  
Author(s):  
Juliet Falco Ajambo-Doherty
Keyword(s):  
Greenhouse Gas ◽  
Atmospheric Pressure ◽  
Schmidt Number ◽  
Spatial Scales ◽  
Gas Production ◽  
System Model ◽  
Biogeochemical Processes ◽  
Model Based ◽  
Temporal And Spatial ◽  
System Metabolism

An existing whole-system model based on changes in dissolved N₂ concentration was modified for lentic systems. Field validations carried out at Christie Lake in Dundas, ON and Turtle Pond in Stoney Creek, ON (Canada). New model inputs included air temperature, atmospheric pressure, relative humidity, wind velocity, and Schmidt number. Mont Carlo analysis was integrated into the model to better constrain error in model estimates of denitrification, whole-system metabolism, and greenhouse gas production. Denitrification rates ranged from -419-4415 µmol N.m-².h-¹ in Christie Lake and from 10-74 µmol N.m-².h-¹ in Turtle Pond. N₂O production ranged from 915-10,635 nmol N.m-².h-¹ in Christie Lake and from -344-131 nmol N.m-².h-¹ in Turtle Pond. The whole-system model allows for the examination of biogeochemical processes at ecologically significant temporal and spatial scales.

Sign in / Sign up

Export Citation Format

Share Document