Evidence map›Paper›PMID 33410919›Full record

ArticleEnvironmental management2021

Source to Tap Risk Assessment for Intermittent Water Supply Systems in Arid Regions: An Integrated FTA-Fuzzy FMEA Methodology.

Husnain Haider, Mohammed Hammed Alkhowaiter, M D Shafiquzzaman, Mohammad Alresheedi, Saleem S AlSaleem, Abdul Razzaq Ghumman

Abstract read
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Article in Environmental management, 2021. 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. Article
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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.

Husnain HaiderDepartment of Civil Engineering, College of Engineering, Qassim University, Buraydah, Qassim, 51452, Saudi Arabia. husnain@qec.edu.sa.ORCID 0000-0002-8600-8315
Mohammed Hammed AlkhowaiterGraduate student, Department of Civil Engineering, College of Engineering, Qassim University, Buraydah, Qassim, 51452, Saudi Arabia.
M D ShafiquzzamanDepartment of Civil Engineering, College of Engineering, Qassim University, Buraydah, Qassim, 51452, Saudi Arabia.
Mohammad AlresheediDepartment of Civil Engineering, College of Engineering, Qassim University, Buraydah, Qassim, 51452, Saudi Arabia.
Saleem S AlSaleemDepartment of Civil Engineering, College of Engineering, Qassim University, Buraydah, Qassim, 51452, Saudi Arabia.
Abdul Razzaq GhummanDepartment of Civil Engineering, College of Engineering, Qassim University, Buraydah, Qassim, 51452, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water utilities in arid regions deal with multifaceted issues of natural groundwater contamination, high treatment costs, and low water rates. These utilities rely on intermittent supplies resulting in numerous water quality failures at source, treatment, distribution, and in-house plumbing systems. The present research presents an inclusive risk assessment methodology for managing water quality from source to tap. Three-year monitoring data for turbidity, TDS, pH, iron, ammonia, nitrates, residual chlorine, Coliform group, E. coli, and Fecal Streptococci identified the root causes of failures. The cause-effect relationships in the form of a fault tree were solved using multiple failure modes and effect analysis (FMEA) to handle both the Boolean operations. The fuzzy sets addressed the uncertainties associated with data limitations in calculating exceedance probabilities (P

Indexed as

Drinking WaterWater SupplyEscherichia coliRisk AssessmentWater QualityDrinking WaterFault treeFuzzy-FMEAIntermittent water supplyRisk assessmentRoot cause analysisSource to tap

Identifiers

PMID33410919

What OpenQuestion holds

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Read underepoch 390

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.