Evidence map›Paper›PMID 42281082›Full record

ArticleSensors (Basel, Switzerland)2026

A Wavefield-Domain Method for Refining Residual Timing Errors in Passive-Source Seismic Exploration.

Jiawei Song, Guowei Zhu, Qi Li, Yue Zhang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. 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.

Jiawei SongCollege of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China.
Guowei ZhuCollege of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China.
Qi LiCollege of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China.
Yue ZhangCollege of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China.

Funding

Major Program of the National Natural Science Foundation of China 52394191National Key Research and Development Program 2023YFC3008903
6 · The paper itself

Abstract

In passive-source seismic exploration, even after seismic instruments complete unified start-up acquisition and hardware synchronization, long-duration continuous records may still contain small residual timing errors, which in turn broaden cross-correlation peaks and degrade event-location results. To address this problem, this study proposes a wavefield-domain residual timing refinement method. The method uses stable noise windows and controlled artificial events in continuous records as constraints, and performs data-window preprocessing, reference cross-correlation function construction, pairwise residual lag estimation, confidence-weighted multi-station joint fusion, and smoothing-constrained fitting of a continuous correction curve to achieve a posterior refinement of residual timing errors after hardware synchronization. Fractional-delay interpolation is then used for waveform correction. Validation using a 60 min continuous record from a local six-station array shows that the proposed method can serve as an effective supplement to hardware synchronization, suppress residual timing errors, and improve the temporal consistency, waveform stackability, and interpretation reliability of passive-source seismic exploration data.

Indexed as

ambient-noise cross-correlationcross-correlation functionpassive-source seismic explorationresidual timing differencesignal synchronization

Identifiers

PMID42281082
PMCPMC13259396

What OpenQuestion holds

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LicenceCC BY
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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.