Evidence map›Paper›PMID 38470920›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Increased methane emissions from oil and gas following the Soviet Union's collapse.

Tai-Long He, Ryan J Boyd, Daniel J Varon, Alexander J Turner

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. 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

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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

4 authors.

Tai-Long HeDepartment of Atmospheric Sciences, University of Washington, Seattle, WA 98195.ORCID 0000-0002-7734-0076
Ryan J BoydDepartment of Atmospheric Sciences, University of Washington, Seattle, WA 98195.ORCID 0009-0006-0046-195X
Daniel J VaronJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.ORCID 0000-0002-3207-5731
Alexander J TurnerDepartment of Atmospheric Sciences, University of Washington, Seattle, WA 98195.ORCID 0000-0003-1406-7372

Funding

Environmental Defense Fund (EDF) N/ANASA | Science Mission Directorate (SMD) 80NSSC21K1808Schmidt Family Foundation (The Schmidt Family Foundation) N/A
6 · The paper itself

Abstract

Global atmospheric methane concentrations rose by 10 to 15 ppb/y in the 1980s before abruptly slowing to 2 to 8 ppb/y in the early 1990s. This period in the 1990s is known as the "methane slowdown" and has been attributed in part to the collapse of the former Soviet Union (USSR) in December 1991, which may have decreased the methane emissions from oil and gas operations. Here, we develop a methane plume detection system based on probabilistic deep learning and human-labeled training data. We use this method to detect methane plumes from Landsat 5 satellite observations over Turkmenistan from 1986 to 2011. We focus on Turkmenistan because economic data suggest it could account for half of the decline in oil and gas emissions from the former USSR. We find an increase in both the frequency of methane plume detections and the magnitude of methane emissions following the collapse of the USSR. We estimate a national loss rate from oil and gas infrastructure in Turkmenistan of more than 10% at times, which suggests the socioeconomic turmoil led to a lack of oversight and widespread infrastructure failure in the oil and gas sector. Our finding of increased oil and gas methane emissions from Turkmenistan following the USSR's collapse casts doubt on the long-standing hypothesis regarding the methane slowdown, begging the question: "what drove the 1992 methane slowdown?"

Indexed as

deep learningfossil fuelmethaneplume detectionremote sensing

Identifiers

PMID38470920
PMCPMC10963001

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.