Evidence map›Paper›PMID 38400465›Full record

ArticleSensors (Basel, Switzerland)2024

Vertical Distribution Mapping for Methane Fugitive Emissions Using Laser Path-Integral Sensing in Non-Cooperative Open Paths.

Di Wang, Yushuang Li, Yu Pu, Yan Lv, Mingji Wang, Hui Yang, Xuefeng Zhao, Dong Li

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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
0.6field-weighted citation impact, top 37% of its field
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, 2 citations in OpenAlex.

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

8 authors at 3 institutions in 1 country.

Di WangSchool of Physics and Electronic Engineering, Northeast Petroleum University, Daqing 163318, China.ORCID 0000-0002-5040-9408
Yushuang LiSchool of Physics and Electronic Engineering, Northeast Petroleum University, Daqing 163318, China.
Yu PuOffice of Science, Quanzhou University of Information Engineering, Quanzhou 362008, China.
Yan LvSchool of Physics and Electronic Engineering, Northeast Petroleum University, Daqing 163318, China.
Mingji WangSchool of Physics and Electronic Engineering, Northeast Petroleum University, Daqing 163318, China.
Hui YangHeilongjiang Institute of Metrological, Verification, and Testing, Harbin 150028, China.
Xuefeng ZhaoHeilongjiang Provincial Key Laboratory of Thermal Utilization and Disaster Reduction of New Energy in Cold Regions, Northeast Petroleum University, Daqing 163318, China.
Dong LiHeilongjiang Provincial Key Laboratory of Thermal Utilization and Disaster Reduction of New Energy in Cold Regions, Northeast Petroleum University, Daqing 163318, China.
Northeast Petroleum University · CNDaqing Oilfield General Hospital · CNQuanzhou Normal University · CN

Funding

Heilongjiang Province College Student Innovation and Entrepreneurship Training Program Project S202310220159Heilongjiang Province "Double First-Class" Discipline Collaborative Innovation Achievement Project LJGXCG2023-108Heilongjiang Province's Key Research and Development Project: "Leading the Charge with Open Competition" 2023ZXJ06A04Northeast Petroleum University Undergraduate Innovation and Entrepreneurship Approval Project: "Leading the Charge with Open Competition" 15011210702
6 · The paper itself

Abstract

Observing the vertical diffusion distribution of methane fugitive emissions from oil/gas facilities is significant for predicting the pollutant's spatiotemporal transport and quantifying the random emission sources. A method is proposed for methane's vertical distribution mapping by combining the laser path-integral sensing in non-non-cooperative open paths and the computer-assisted tomography (CAT) techniques. It uses a vertical-plume-mapping optical path configuration and adapts the developed dynamic relaxation and simultaneous algebraic reconstruction technique (DR-SART) into methane-emission-distribution reconstruction. A self-made miniaturized TDLAS telemetry sensor provides a reliable path to integral concentration information in non-non-cooperative open paths, with Allan variance analysis yielding a 3.59 ppm·m sensitivity. We employed a six-indexes system for the reconstruction performance analysis of four potential optical path-projection configurations and conducted the corresponding validation experiment. The results have shown that that of multiple fan-beams combined with parallel-beam modes (MFPM) is better than the other optical path-projection configurations, and its reconstruction similarity coefficient (ε) is at least 22.4% higher. For the different methane gas bag-layout schemes, the reconstruction errors of maximum concentration (

Indexed as

diffusion distributionlaser absorption spectroscopymethane fugitive emissionsoptical remote sensingtomographic algorithm

Identifiers

PMID38400465
PMCPMC10892198
OpenAlexW4391942233

What OpenQuestion holds

Textmetadata
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.