Evidence map›Paper›PMID 30155887›Full record

ArticleGround water2019

Automated Time Series Measurement of Microbial Concentrations in Groundwater-Derived Water Supplies.

David W Owens, Randall J Hunt, Aaron D Firnstahl, Maureen A Muldoon, Mark A Borchardt

Abstract read
In one paragraph

Article in Ground water, 2019. 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

5 authors.

David W OwensU.S. Geological Survey, Upper Midwest Water Science Center, Middleton, WI 53562.
Randall J HuntU.S. Geological Survey, Upper Midwest Water Science Center, Middleton, WI 53562.
Aaron D FirnstahlU.S. Geological Survey, Laboratory for Infectious Disease and the Environment, Marshfield, WI, 54449.
Maureen A MuldoonGeology Department, University of Wisconsin-Oshkosh, Oshkosh, WI, 54901.
Mark A BorchardtUSDA-ARS, Laboratory for Infectious Disease and the Environment, Marshfield, WI, 54449.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fecal contamination by human and animal pathogens, including viruses, bacteria, and protozoa, is a potential human health hazard, especially with regards to drinking water. Pathogen occurrence in groundwater varies considerably in space and time, which can be difficult to characterize as sampling typically requires hundreds of liters of water to be passed through a filter. Here we describe the design and deployment of an automated sampler suited for hydrogeologically and chemically dynamic groundwater systems. Our design focused on a compact form to facilitate transport and quick deployment to municipal and domestic water supplies. We deployed a sampler to characterize water quality from a household well tapping a shallow fractured dolomite aquifer in northeast Wisconsin. The sampler was deployed from January to April 2017, and monitored temperature, nitrate, chloride, specific conductance, and fluorescent dissolved organic matter on a minute time step; water was directed to sequential microbial filters during three recharge periods that ranged from 5 to 20 days. Results from the automated sampler demonstrate the dynamic nature of the household water quality, especially with regard to microbial targets, which were shown to vary 1 to 2 orders of magnitude during a single sampling event. We believe assessments of pathogen occurrence and concentration, and related assessments of drinking well vulnerability, would be improved by the time-integrated characterization provided by this sampler.

Indexed as

GroundwaterWater Pollutants, ChemicalAnimalsHumansWater QualityWater SupplyWisconsinWater Pollutants, Chemical

Identifiers

PMID30155887
PMCPMC7379695

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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.