Evidence map›Paper›PMID 42262002›Full record

ArticleEnvironmental science & technology2026

Tracking U.S. Liquefied Natural Gas Supply Chain Greenhouse Gas Emission Intensity through Direct Measurements.

Yuanrui Zhu, Gregory B Ross, Jenna Brown, Olga Khaliukova, William Daniels, Jiayang Wang, Selina Roman-White, Fiji C George, Daniel Zimmerle, Dorit Hammerling and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Yuanrui ZhuEnergy Emissions Modeling and Data Lab (EEMDL), The University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0003-2688-1419
Gregory B RossCheniere Energy, Inc., Houston, Texas 77002, United States.
Jenna BrownEnergy Emissions Modeling and Data Lab (EEMDL), The University of Texas at Austin, Austin, Texas 78712, United States.
Olga KhaliukovaEnergy Emissions Modeling and Data Lab (EEMDL), The University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0002-6192-7139
William DanielsEnergy Emissions Modeling and Data Lab (EEMDL), The University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0001-8752-5536
Jiayang WangEnergy Emissions Modeling and Data Lab (EEMDL), The University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0001-6832-6232
Selina Roman-WhiteCheniere Energy, Inc., Houston, Texas 77002, United States.
Fiji C GeorgeCheniere Energy, Inc., Houston, Texas 77002, United States.ORCID 0000-0001-8819-0838
Daniel ZimmerleEnergy Emissions Modeling and Data Lab (EEMDL), The University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0003-2832-048X
Dorit HammerlingEnergy Emissions Modeling and Data Lab (EEMDL), The University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0003-3583-3611
Arvind P RavikumarEnergy Emissions Modeling and Data Lab (EEMDL), The University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0001-8385-6573

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent regulatory and voluntary initiatives to estimate supply chain greenhouse gas (GHG) emission intensity of liquefied natural gas (LNG) have emphasized the use of direct measurements as activity-based national inventories tend to systematically underestimate GHG emission intensities. In this work, we demonstrate how measurement data can be integrated into a life cycle assessment (LCA) framework for assessing the GHG emissions of LNG supply chains by synthesizing results from a three year measurement campaign over 54 sites across production, midstream, and liquefaction stages. Measurement-informed GHG emission intensity ranges from 13.8 to 17.2 g of CO

Indexed as

Greenhouse GasesNatural GasAir PollutantsCarbon DioxideEnvironmental MonitoringGreenhouse EffectUnited StatesAir PollutantsCarbon DioxideGreenhouse GasesNatural Gaslife cycle assessmentLNGmeasurement-informed emissionsmethane emissionsQMRVsupply chain

Identifiers

PMID42262002
PMCPMC13296472

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.