Evidence map›Paper›PMID 38032948›Full record

ArticlePloS one2023

Detection and identification of oil spill species based on polarization information.

Hongyu Sun, Zhehao Zhao, Qiang Fu, Haodong Shi, Yingchao Li, Di Yang, Jianan Liu, Chao Wang, Huilin Jiang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Hongyu SunCollege of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun, China.
Zhehao ZhaoCollege of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun, China.
Qiang FuSpace Opto-Electronics Technology Institute, Changchun University of Science and Technology, Changchun, China.ORCID 0000-0002-6198-5961
Haodong ShiSpace Opto-Electronics Technology Institute, Changchun University of Science and Technology, Changchun, China.
Yingchao LiSpace Opto-Electronics Technology Institute, Changchun University of Science and Technology, Changchun, China.
Di YangBeijing Institute of Tracking and Telecommunication Technology, Beijing, China.
Jianan LiuSpace Opto-Electronics Technology Institute, Changchun University of Science and Technology, Changchun, China.
Chao WangSpace Opto-Electronics Technology Institute, Changchun University of Science and Technology, Changchun, China.
Huilin JiangCollege of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aiming at the problem of poor oil identification accuracy in existing oil spill detection technologies, the polarization degree model of oil spill on rough sea surface under different azimuths and zenith angles was established based on Fresnel theory. The analytical expressions of visible light polarization degree in calm and fluctuating water surface were derived respectively, and the polarization degree model of oil spill in reflection space was constructed. The effectiveness of the method and its influence on the polarization distribution of oil spill were analyzed by simulation. A portable turntable was designed to test the polarization characteristics of the experiment, and the visible light polarization detection experiment was carried out. The visible light polarization images of five typical oil spills at different observation azimuth and zenth angles were obtained. The differences in the polarization degrees of different oil species were analyzed, and the correctness of the theoretical model was proved by experiments. The polarization detection experiment of visible light pBRDF was completed, which more intuitively showed the variation law of the polarization characteristics of light reflected by different oil spills in different spatial positions. Using polarization information to distinguish oil species is a useful supplement to the traditional oil spill detection method and has important significance to improve the marine pollution control ability.

Indexed as

Petroleum PollutionWater Pollutants, ChemicalComputer SimulationEnvironmental MonitoringEnvironmental PollutionModels, TheoreticalWater Pollutants, Chemical

Identifiers

PMID38032948
PMCPMC10688671

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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.