Evidence map›Paper›PMID 35001968›Full record

ArticleJournal of hydrology2021

Stochastic reliability-based risk evaluation and mapping for watershed systems and sustainability (STREAMS).

Allen Teklitz, Christopher Nietch, Timothy Whiteaker, M Sadegh Riasi, David R Maidment, Lilit Yeghiazarian

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of hydrology, 2021. 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

6 authors.

Allen TeklitzDepartment of Chemical and Environmental Engineering, University of Cincinnati, OH, USA.
Christopher NietchUSEPA, 26 West Martin Luther King Drive, Cincinnati, OH, USA.
Timothy WhiteakerThe University of Texas at Austin, Center for Research in Water Resources, Austin, TX 78712, USA.
M Sadegh RiasiDepartment of Chemical and Environmental Engineering, University of Cincinnati, OH, USA.
David R MaidmentThe University of Texas at Austin, Center for Research in Water Resources, Austin, TX 78712, USA.
Lilit YeghiazarianDepartment of Chemical and Environmental Engineering, University of Cincinnati, OH, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Mitigating water contamination, improving water security, and increasing sustainability involve environmental awareness and conscientious decision-making by denizens and stakeholders. Achieving such awareness requires visually compelling geospatial decision-making tools that take into account the probabilistic and spatially distributed nature of water contamination. Inspired by the success of weather maps, this paper presents a novel STochastic Reliability-based Risk Evaluation And Mapping for watershed Systems and Sustainability (STREAMS) tool that produces and effectively communicates the risk of water contamination as maps. STREAMS is integrated with ArcGIS geoprocessing tools and uses physics-based reliability theory to compute the spatial distribution of risk, which is defined as the probability of exceeding a safety threshold of water contamination within a watershed. A quantitative analysis of the efficacy of mitigation strategies is conducted by estimating risk reduction from best management practices throughout the entire watershed. Two case studies at different spatial scales are presented, demonstrating STREAMS application to watersheds with varied properties.

Indexed as

GISProbabilistic modellingRisk assessmentWatershed managementWatershed modeling

Identifiers

PMID35001968
PMCPMC8740895

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.