Evidence map›Paper›PMID 37738549›Full record

ArticleEnvironmental science & technology2023

Performance of a One-Dimensional Model of Wave-Driven Nearshore Alongshore Tracer Transport and Decay with Applications for Dry Weather Coastal Pollution.

Elizabeth Brasseale, Falk Feddersen, Xiaodong Wu, Amity G Zimmer-Faust, Sarah N Giddings

Abstract read
In one paragraph

Article in Environmental science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Elizabeth BrassealeScripps Institution of Oceanography, 9500 Gilman Dr., La Jolla, California 92093, United States.ORCID 0000-0002-3183-1785
Falk FeddersenScripps Institution of Oceanography, 9500 Gilman Dr., La Jolla, California 92093, United States.
Xiaodong WuSchool of Oceanography, Shanghai Jiao Tong University, 1954 Huashan Rd., Shanghai 200030, China.
Amity G Zimmer-FaustThe Nature Conservancy, 830 S Street, Sacramento, California 96811, United States.
Sarah N GiddingsScripps Institution of Oceanography, 9500 Gilman Dr., La Jolla, California 92093, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dry weather pollution sources cause coastal water quality problems that are not accounted for in existing beach advisory metrics. A 1D wave-driven advection and loss model was developed for a 30 km nearshore domain spanning the United States/Mexico border region. Bathymetric nonuniformities, such as the inlet and shoal near the Tijuana River estuary mouth, were neglected. Nearshore alongshore velocities were estimated by using wave properties at an offshore location. The 1D model was evaluated using the hourly output of a 3D regional hydrodynamic model. The 1D model had high skill in reproducing the spatially averaged alongshore velocities from the 3D model. The 1D and 3D models agreed on tracer exceedance or nonexceedance above a human illness probability threshold for 87% of model time steps. 1D model tracer was well-correlated with targeted water samples tested for DNA-based human fecal indicators. This demonstrates that a simple, computationally fast, 1D nearshore wave-driven advection model can reproduce nearshore tracer evolution from a 3D model over a range of wave conditions ignoring bathymetric nonuniformities at this site and may be applicable to other locations.

Indexed as

Models, TheoreticalWater PollutionWeatherEnvironmental MonitoringHumansMexicoWater Movementsmodelingnearshorepollutionwater qualitywaves

Identifiers

PMID37738549
PMCPMC10552543

What OpenQuestion holds

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LicenceCC BY
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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.