Evidence map›Paper›PMID 38386149›Full record

ArticleEnvironmental monitoring and assessment2024

Evaluation of Korean methane emission sources with satellite retrievals by spatial correlation analysis.

JunGi Moon, Changsub Shim, Jeongbyn Seo, Jihyun Han

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 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

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

4 authors.

JunGi MoonKorea Environment Institute, Sejong, South Korea.
Changsub ShimKorea Environment Institute, Sejong, South Korea. marchell@gmail.com.
Jeongbyn SeoKorea Environment Institute, Sejong, South Korea.
Jihyun HanKorea Environment Institute, Sejong, South Korea.

Funding

Korea Environmental Industry and Technology Institute 2022003570007Korea Meteorological Administration KMI2021-01612
6 · The paper itself

Abstract

Methane is a significant greenhouse gas (GHG), and it is imperative to understand its spatiotemporal distribution and primary sources in areas with higher methane concentrations, as such insights are essential for informing effective mitigation policies. In this study, we employed TROPOMI satellite retrievals to analyze the spatiotemporal patterns of methane distributions and identify major emission sources in South Korea over the period from August 2018 to July 2019. Additionally, we examined the spatial correlations between satellite methane retrievals and emission sources to characterize regions with higher methane levels on an annual basis.Concerning spatial distributions, concentrations exceeding 1870 ppb were predominantly observed in western non-mountainous regions, particularly in rice paddy areas. Moreover, sporadic concentrations exceeding 1880 ppb were detected in large ports and industrial zones, primarily located in coastal regions of South Korea.Our spatial correlation analysis, conducted using the SDMSelect method, identified specific emissions contributing to regions with higher methane concentrations. There were some areas with relatively strong correlations between high XCH

Indexed as

Greenhouse GasesOryzaEnvironmental MonitoringFossil FuelsMethaneRepublic of KoreaFossil FuelsGreenhouse GasesMethaneEmissionsMethaneSouth KoreaSpatial correlationTROPOMI

Identifiers

PMID38386149
PMCPMC10884166

What OpenQuestion holds

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LicenceCC BY
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.