Evidence map›Paper›PMID 35676599›Full record

ArticleEnvironmental monitoring and assessment2022

Evaluation of sampling frequency impact on the accuracy of water quality status as determined considering different water quality monitoring objectives.

Camilo Torres, Margaret W Gitau, Diego Paredes-Cuervo, Bernard Engel

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2022. 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

4 authors.

Camilo TorresDepartment of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, USA.
Margaret W GitauDepartment of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, USA. mgitau@purdue.edu.ORCID http://orcid.org/0000-0002-4931-7047
Diego Paredes-CuervoDepartment of Basic Environmental Sciences, Universidad Tecnológica de Pereira, Pereira, Risaralda, Colombia.
Bernard EngelDepartment of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water quality sampling is a key element in tracking water quality monitoring objectives. However, frequencies adapted by different agencies might not be sufficient to provide an accurate indication of water quality status. In this study, data from low- and high-resolution water quality datasets were analyzed to determine the extent to which monitoring objectives could be achieved with different sampling frequencies, with a view to providing recommendations and best practices for water quality monitoring frequency in places with limited resources with which to implement a high-frequency monitoring plan. Water quality data from two watersheds (Maumee River and Raisin River) located in the Western Lake Erie Basin (WLEB) were used since these watersheds have consistent records over substantial periods of time, and the water quality data available have a high resolution (at least daily). The water quality constituents analyzed included suspended solids (SS), total phosphorus (TP), soluble reactive phosphorus (SRP), and nitrate + nitrite (NO

Indexed as

Water Pollutants, ChemicalWater QualityEnvironmental MonitoringLakesPhosphorusRiversPhosphorusWater Pollutants, ChemicalMonitoring objectivesSampling frequencyWater qualityWater quality indices

Identifiers

PMID35676599

What OpenQuestion holds

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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.