Evidence map›Paper›PMID 32763592›Full record

ArticleThe Science of the total environment2020

Evaluation of the soil and water assessment tool (SWAT) for simulating E. coli concentrations at the watershed-scale.

Robert A Sowah, Kenneth Bradshaw, Blake Snyder, David Spidle, Marirosa Molina

Abstract read
In one paragraph

Article in The Science of the total environment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Pathways ofFrontiers in public health · 2025
    Review
  3. Article
  4. 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.

Robert A SowahOak Ridge Institute for Science and Education, P.O. Box 117, Oak Ridge, TN 37831, USA; U.S.EPA, Office of Research and Development, Center for Environmental Measurement and Modeling, 109 T. W. Alexander Dr, RTP, NC 27709, USA.
Kenneth BradshawOak Ridge Institute for Science and Education, P.O. Box 117, Oak Ridge, TN 37831, USA.
Blake SnyderU.S.EPA, Laboratory of Services & Applied Sciences Division, 980 College Station Rd, Athens, GA 30605, USA.
David SpidleU.S.EPA, Laboratory of Services & Applied Sciences Division, 980 College Station Rd, Athens, GA 30605, USA.
Marirosa MolinaU.S.EPA, Office of Research and Development, Center for Environmental Measurement and Modeling, 109 T. W. Alexander Dr, RTP, NC 27709, USA. Electronic address: molina.marirosa@epa.gov.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Water quality management at the watershed level requires a framework to identify sources, apportion water quality risks and develop mitigation strategies to reduce health risks. Watershed-scale models have been used as a support tool to understand the sources, fate and transport of fecal bacteria and pathogens in the environment. The Soil and Water Assessment Tool (SWAT) model was applied in this study to understand the sources and drivers of microbial water quality in the Clouds Creek watershed in Georgia, USA. A criterion to evaluate the performance of the SWAT bacterial model was also developed in this study using the Nash-Sutcliffe Efficiency (NSE) performance measure. The SWAT model was successfully calibrated and validated for flow with Nash-Sutcliffe Efficiency (NSE) of 0.81 and 0.55, respectively. Escherichia coli (E. coli) predictions were good with NSE of 0.32 and 0.34 for the calibration and validation timeframes, respectively. Based on the criteria developed in this study, SWAT bacterial model for E. coli and fecal coliform can be judged as "satisfactory" when NSE > 0.20. The contribution of sources followed this order: in-stream cattle manure deposition > cattle manure application > poultry manure application > septic systems > wildlife manure, suggesting that a reduction in livestock access to streams would be the most effective approach to reduce fecal bacterial loads in this watershed and others impacted by fecal contamination. Finally, our results suggest that the SWAT model is capable of simulating E. coli dynamics in the Clouds Creek watershed and can provide insights into source impacts for risk management.

Indexed as

Escherichia coliSoilAnimalsCattleGeorgiaModels, TheoreticalRiversWaterSoilWater

Identifiers

PMID32763592
PMCPMC8804978

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.