4.6 Article

Atmospheric Implications of Large C2-C5 Alkane Emissions From the US Oil and Gas Industry

Journal

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
Volume 124, Issue 2, Pages 1148-1169

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1029/2018JD028955

Keywords

-

Funding

  1. Consejo Nacional de Ciencia y Tecnologia (CONACYT) [216028]
  2. NOAA [NA14OAR4310148]
  3. CFCAS
  4. ABB Bomem
  5. CFI
  6. CSA
  7. ECCC
  8. NSERC
  9. ORDCF
  10. PREA
  11. University of Toronto
  12. CAFTON project - Canadian Space Agency's FAST Program
  13. National Science Foundation
  14. National Aeronautics and Space Administration (NASA)

Ask authors/readers for more resources

Emissions of C-2-C-5 alkanes from the U.S. oil and gas sector have changed rapidly over the last decade. We use a nested GEOS-Chem simulation driven by updated 2011NEI emissions with aircraft, surface, and column observations to (1) examine spatial patterns in the emissions and observed atmospheric abundances of C-2-C-5 alkanes over the United States and (2) estimate the contribution of emissions from the U.S. oil and gas industry to these patterns. The oil and gas sector in the updated 2011NEI contributes over 80% of the total U.S. emissions of ethane (C2H6) and propane (C3H8), and emissions of these species are largest in the central United States. Observed mixing ratios of C-2-C-5 alkanes show enhancements over the central United States below 2km. A nested GEOS-Chem simulation underpredicts observed C3H8 mixing ratios in the boundary layer over several U.S. regions, and the relative underprediction is not consistent, suggesting C3H8 emissions should receive more attention moving forward. Our decision to consider only C-4-C-5 alkane emissions as a single lumped species produces a geographic distribution similar to observations. Due to the increasing importance of oil and gas emissions in the United States, we recommend continued support of existing long-term measurements of C-2-C-5 alkanes. We suggest additional monitoring of C-2-C-5 alkanes downwind of northeastern Colorado, Wyoming, and western North Dakota to capture changes in these regions. The atmospheric chemistry modeling community should also evaluate whether chemical mechanisms that lump larger alkanes are sufficient to understand air quality issues in regions with large emissions of these species.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Physics, Atomic, Molecular & Chemical

Measurements of perfluoro-n-heptane and perfluoro-n-octane absorption cross-sections from 300 to 350 K

Muhammad Osama Ishtiak, Orfeo Colebatch, Karine Le Bris, Paul J. Godin, Kimberly Strong

Summary: Perfluoroalkanes are fully fluorinated greenhouse gases with long atmospheric lifetimes. Despite regulation, their concentrations have continued to increase. This study provides spectral data for perfluoro-n-heptane and perfluoro-n-octane to calculate climate metrics. The results show agreement with literature values and reveal no significant temperature dependence.

JOURNAL OF MOLECULAR SPECTROSCOPY (2023)

Article Environmental Sciences

The Effects of Trash, Residential Biofuel, and Open Biomass Burning Emissions on Local and Transported PM2.5 and Its Attributed Mortality in Africa

Janica N. D. Gordon, Kelsey R. R. Bilsback, Marc N. N. Fiddler, Rudra P. P. Pokhrel, Emily V. V. Fischer, Jeffrey R. R. Pierce, Solomon Bililign

Summary: Long-term exposure to PM2.5 is the second leading risk factor of premature death in Sub-Saharan Africa. Trash burning, residential solid-fuel burning, and open biomass burning contribute to global and regional PM2.5 pollution and premature mortality. Central Africa has the highest PM2.5-attributed mortalities from open biomass burning, while North Africa and West Africa have the most regional mortalities from trash burning and residential solid-fuel burning, respectively.

GEOHEALTH (2023)

Article Environmental Sciences

Characterizing variations in ambient PM2.5 concentrations at the US Embassy in Dhaka, Bangladesh using observations and the CMAQ modeling system

Golam Sarwar, Christian Hogrefe, Barron H. Henderson, Kristen Foley, Rohit Mathur, Ben Murphy, Shoeb Ahmed

Summary: We analyzed PM2.5 concentrations measured at the U.S. Embassy in Dhaka from 2016 to 2021 and found that they vary seasonally, with the highest levels in winter and the lowest in monsoon seasons. Winter mean PM2.5 concentrations reached approximately 165-175 μg/m³, while monsoon concentrations remained around 30-35 μg/m³. The annual mean PM2.5 concentration was about 5-6 times higher than the Bangladesh annual standard of 15 μg/m³. The number of days exceeding the daily PM2.5 standard of 65 μg/m³ approached nearly 50%.

ATMOSPHERIC ENVIRONMENT (2023)

Article Environmental Sciences

Examining the Impact of Dimethyl Sulfide Emissions on Atmospheric Sulfate over the Continental US

Golam Sarwar, Daiwen Kang, Barron H. Henderson, Christian Hogrefe, Wyat Appel, Rohit Mathur

Summary: We investigated the impact of DMS emissions on sulfate concentrations over the continental U.S. using the CMAQ model version 5.4. The inclusion of DMS emissions increased sulfate concentrations by 36% over seawater and 9% over land on an annual basis. The largest increases occurred in California, Oregon, Washington, and Florida, with a 25% increase in annual mean sulfate concentrations.

ATMOSPHERE (2023)

Article Meteorology & Atmospheric Sciences

Exceptional Wildfire Enhancements of PAN, C2H4, CH3OH, and HCOOH Over the Canadian High Arctic During August 2017

T. Wizenberg, K. Strong, D. B. A. Jones, E. Lutsch, E. Mahieu, B. Franco, L. Clarisse

Summary: During August 17-22, 2017, significant increases in the total columns of CO, PAN, C2H4, CH3OH, and HCOOH were observed in the Canadian high Arctic, which were attributed to wildfires in British Columbia and the Northwest Territories of Canada. The emission factors of C2H4 and HCOOH were found to be higher than previous studies, indicating unusually high emissions from these fires. Simulations using the GEOS-Chem model showed that adjusting the injection heights significantly improved the agreement between model results and observations.

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2023)

Article Education & Educational Research

Promoting sense of belonging and interest in the geosciences among undergraduate women through mentoring

Wenyi Du, Paul R. Hernandez, Amanda S. Adams, Sandra M. Clinton, Rebecca T. Barnes, Melissa Burt, Ilana Pollack, Emily V. Fischer

Summary: Efforts to diversify STEM fields haven't eradicated higher dropout rates of women in certain STEM disciplines, such as geosciences. While a diverse mentorship network is associated with STEM persistence, the specific role it plays in fostering persistence is unclear. This longitudinal study examines whether a student's sense of belonging in university mediates the relationship between the diversity of their mentor network and their interest in geoscience.

MENTORING & TUTORING (2023)

Article Engineering, Environmental

Source-Receptor Relationships Between Precursor Emissions and O3 and PM2.5 Air Pollution Impacts

Kirk R. Baker, Heather Simon, Barron Henderson, Colby Tucker, David Cooley, Emma Zinsmeister

Summary: In this study, a reduced complexity tool called PCAPS is described and evaluated for estimating PM2.5 and O3 concentrations at any source location in the United States. The tool's accuracy in predicting air pollution changes is validated by comparing it with more sophisticated modeling systems.

ENVIRONMENTAL SCIENCE & TECHNOLOGY (2023)

Article Geosciences, Multidisciplinary

Network for the Detection of Atmospheric Composition Change (NDACC) Fourier transform infrared (FTIR) trace gas measurements at the University of Toronto Atmospheric Observatory from 2002 to 2020

Shoma Yamanouchi, Stephanie Conway, Kimberly Strong, Orfeo Colebatch, Erik Lutsch, Sebastien Roche, Jeffrey Taylor, Cynthia H. Whaley, Aldona Wiacek

Summary: This study presents 19 years of atmospheric composition measurements obtained from the University of Toronto Atmospheric Observatory using FTIR technology. The data, including 14 different species, have been archived and made publicly available, highlighting the scientific significance of this research.

EARTH SYSTEM SCIENCE DATA (2023)

Article Environmental Sciences

Anomalies of O3, CO, C2H2, H2CO, and C2H6 detected with multiple ground-based Fourier-transform infrared spectrometers and assessed with model simulation in 2020: COVID-19 lockdowns versus natural variability

Ivan Ortega, Benjamin Gaubert, James W. Hannigan, Guy Brasseur, Helen M. Worden, Thomas Blumenstock, Hao Fu, Frank Hase, Pascal Jeseck, Nicholas Jones, Cheng Liu, Emmanuel Mahieu, Isamu Morino, Isao Murata, Justus Notholt, Mathias Palm, Amelie Roehling, Yao Te, Kimberly Strong, Youwen Sun, Shoma Yamanouchi

Summary: This study quantifies the anomalies of tropospheric ozone (O3), carbon monoxide (CO), acetylene (C2H2), formaldehyde (H2CO), and ethane (C2H6) during the global COVID-19 lockdown using ground-based Fourier-transform infrared spectrometers. The results show a decrease in tropospheric ozone and formaldehyde, as well as a mixed response in carbon monoxide depending on the location. The simulations reproduce these anomalies and suggest that natural variability plays a significant role.

ELEMENTA-SCIENCE OF THE ANTHROPOCENE (2023)

Article Geosciences, Multidisciplinary

Comparison of ozone formation attribution techniques in the northeastern United States

Qian Shu, Sergey L. Napelenok, William T. Hutzell, Kirk R. Baker, Barron H. Henderson, Benjamin N. Murphy, Christian Hogrefe

Summary: The Integrated Source Apportionment Method (ISAM) has been revised to improve its flexibility in ozone modeling. The updated ISAM provides various attribution options and has been incorporated into the latest version of the CMAQ model. This study aims to document the updates and evaluate their impacts on source apportionment for ozone and its precursors.

GEOSCIENTIFIC MODEL DEVELOPMENT (2023)

Article Meteorology & Atmospheric Sciences

Near-real-time detection of unexpected atmospheric events using principal component analysis on the Infrared Atmospheric Sounding Interferometer (IASI) radiances

Adrien Vu Van, Anne Boynard, Pascal Prunet, Dominique Jolivet, Olivier Lezeaux, Patrice Henry, Claude Camy-Peyret, Lieven Clarisse, Bruno Franco, Pierre-Francois Coheur, Cathy Clerbaux

Summary: The three IASI instruments on board the Metop satellites have been measuring atmospheric composition since 2006. They can measure over 30 atmospheric gases, improving weather forecasting and monitoring atmospheric chemistry and climate variables. The near-real-time observations and good horizontal coverage of IASI contribute to the detection of exceptional atmospheric events to support operational decisions.

ATMOSPHERIC MEASUREMENT TECHNIQUES (2023)

Article Geosciences, Multidisciplinary

National CO2 budgets (2015-2020) inferred from atmospheric CO2 observations in support of the global stocktake

Brendan Byrne, David F. Baker, Sourish Basu, Michael Bertolacci, Kevin W. Bowman, Dustin Carroll, Abhishek Chatterjee, Frederic Chevallier, Philippe Ciais, Noel Cressie, David Crisp, Sean Crowell, Feng Deng, Zhu Deng, Nicholas M. Deutscher, Manvendra K. Dubey, Sha Feng, Omaira E. Garcia, David W. T. Griffith, Benedikt Herkommer, Lei Hu, Andrew R. Jacobson, Rajesh Janardanan, Sujong Jeong, Matthew S. Johnson, Dylan B. A. Jones, Rigel Kivi, Junjie Liu, Zhiqiang Liu, Shamil Maksyutov, John B. Miller, Scot M. Miller, Isamu Morino, Justus Notholt, Tomohiro Oda, Christopher W. O'Dell, Young-Suk Oh, Hirofumi Ohyama, Prabir K. Patra, Helene Peiro, Christof Petri, Sajeev Philip, David F. Pollard, Benjamin Poulter, Marine Remaud, Andrew Schuh, Mahesh K. Sha, Kei Shiomi, Kimberly Strong, Colm Sweeney, Yao Te, Hanqin Tian, Voltaire A. Velazco, Mihalis Vrekoussis, Thorsten Warneke, John R. Worden, Debra Wunch, Yuanzhi Yao, Jeongmin Yun, Andrew Zammit-Mangion, Ning Zeng

Summary: Accurate accounting of CO2 emissions and removals is crucial for emission reduction targets, and this study provides a pilot dataset of net carbon exchange and terrestrial carbon stock changes for different countries to inform carbon budgets. The estimates are based on top-down modeling outputs using OCO-2 data, combined with bottom-up estimates of fossil fuel emissions and lateral carbon fluxes. Increases in terrestrial carbon stocks are observed, particularly in the northern extra tropics, while the tropics show variable stock losses. The study discusses the current state and future developments of top-down monitoring and verification systems for tracking emissions and removals.

EARTH SYSTEM SCIENCE DATA (2023)

Article Meteorology & Atmospheric Sciences

Using portable low-resolution spectrometers to evaluate Total Carbon Column Observing Network (TCCON) biases in North America

Nasrin Mostafavi Pak, Jacob K. Hedelius, Sebastien Roche, Liz Cunningham, Bianca Baier, Colm Sweeney, Coleen Roehl, Joshua Laughner, Geoffrey Toon, Paul Wennberg, Harrison Parker, Colin Arrowsmith, Joseph Mendonca, Pierre Fogal, Tyler Wizenberg, Beatriz Herrera, Kimberly Strong, Kaley A. Walker, Felix Vogel, Debra Wunch

Summary: EM27/SUN devices are portable solar-viewing Fourier transform spectrometers used widely for greenhouse gas measurements. In a 6-week-long campaign, the devices were taken to five TCCON stations to evaluate their performance and constrain site-to-site bias. New data products were developed using previous and current versions of the retrieval algorithm. The measurements remained consistent with each other, and biases were reduced in the newer version, except for CO measurements influenced by urban emissions.

ATMOSPHERIC MEASUREMENT TECHNIQUES (2023)

Article Engineering, Environmental

Ethnoracial Disparities in Nitrogen Dioxide Pollution in the United States: Comparing Data Sets from Satellites, Models, and Monitors

Gaige Hunter Kerr, Daniel L. Goldberg, Maria H. Harris, Barron H. Henderson, Perry Hystad, Ananya Roy, Susan C. Anenberg

Summary: This study utilizes novel tools and datasets, including remotely sensed NO2 measurements and estimates from land-use regression and photochemical models, to assess NO2 exposure of different ethnic populations in the United States. The findings show that Black, Hispanic, Asian, and multiracial populations have higher NO2 levels compared to the national average, while non-Hispanic White population has lower levels. Comparisons with in situ monitoring data validate the performance of these datasets in understanding spatial variations in NO2.

ENVIRONMENTAL SCIENCE & TECHNOLOGY (2023)

Article Engineering, Environmental

Source-Receptor Relationships Between Precursor Emissions and O3 and PM2.5 Air Pollution Impacts

Kirk R. Baker, Heather Simon, Barron Henderson, Colby Tucker, David Cooley, Emma Zinsmeister

Summary: This article introduces a reduced complexity tool called PCAPS, which can estimate annual average PM2.5 and seasonal average MDA8 O3 for any source location in the United States. By comparing with photochemical grid models, PCAPS is proven to accurately predict the impact of emission changes on air pollution and is consistent with routine surface measurements. PCAPS provides flexible source-receptor relationships, making it suitable for integration into larger frameworks to provide air quality estimates for downstream analytics.

ENVIRONMENTAL SCIENCE & TECHNOLOGY (2023)

No Data Available