Evidence map›Paper›PMID 39732989›Full record

ArticleScientific reports2024

Evaluating the feasibility of estimating particulate mass emissions of older-model diesel vehicle using smoke opacity measurements.

Hsi-Hsien Yang, Amit Kumar, Narayan Babu Dhital, Lin-Chi Wang, Cheng-Hsu Wu, Hesam Kamyab, Mohammad Yusuf

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. 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

7 authors.

Hsi-Hsien YangDepartment of Environmental Engineering and Management, Chaoyang University of Technology, Taichung, 413310, Taiwan.
Amit KumarDepartment of Environmental Engineering and Management, Chaoyang University of Technology, Taichung, 413310, Taiwan. t5220315@gm.cyut.edu.tw.
Narayan Babu DhitalDepartment of Environmental Science, Tribhuvan University, Patan Multiple Campus, Lalitpur, 44700, Nepal.
Lin-Chi WangDepartment of Marine Environmental Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.
Cheng-Hsu WuDepartment of Environmental Engineering and Management, Chaoyang University of Technology, Taichung, 413310, Taiwan.
Hesam KamyabDepartment of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, 600 077, India.
Mohammad YusufClean Energy Technologies Research Institute (CETRI), Process Systems Engineering, Faculty of Engineering & Applied Science, University of Regina, 3737 Wascana Parkway, Regina, SK, S4S 0A2, Canada. yusufshaikh.amu@gmail.com.

Funding

Environmental Protection Administration, Executive Yuan, R.O.C. Taiwan 111-EPA-F004
6 · The paper itself

Abstract

Real-world emissions of particulate matter (PM) and smoke opacity were studied for an older-model diesel pickup truck during four types of driving tests, namely fixed-point test, snap-acceleration test, road test, and hill road test (uphill/downhill). A portable emissions measurement system (PEMS) and an opacimeter were used to measure real-time concentrations of PM and smoke opacity, respectively, and simultaneously. Correlation analysis showed a significant positive association between PM and opacity, suggesting the feasibility of using an opacimeter to estimate PM mass emissions from diesel vehicles. Additionally, regression analyses were performed to evaluate the relationship between opacity and PM mass concentration. The results of this study indicate that PM emission concentrations from older-model diesel vehicles can be estimated with a reasonable accuracy by using a smoke opacimeter, which is a relatively simple and cost-effective method of emission testing, as an alternative to sophisticated PM measurement instruments.

Indexed as

Particulate matterPortable emissions measurement systemReal-world emissionsRegression

Identifiers

PMID39732989
PMCPMC11682150

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.