Evidence map›Paper›PMID 38742059›Full record

ArticleHeliyon2024

Spatial and seasonal groundwater quality assessment for drinking suitability using index and machine learning approach.

Kibru Gedam Berhanu, Tarun Kumar Lohani, Samuel Dagalo Hatiye

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Kibru Gedam BerhanuArba Minch Water Technology Institute, Faculty of Water Resources and Irrigation Engineering, Arba Minch University, Arba Minch, Ethiopia.
Tarun Kumar LohaniArba Minch Water Technology Institute, Faculty of Hydraulic and Water Resources Engineering, Arba Minch University, Arba Minch, Ethiopia.
Samuel Dagalo HatiyeArba Minch Water Technology Institute, Faculty of Water Resources and Irrigation Engineering, Arba Minch University, Arba Minch, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial and seasonal evaluation and monitoring of groundwater (GW) quality is essential for the sustainable management of this priceless resource and the provision of safe drinking water. Nevertheless, GW quality appraisal was not given due attention in the current study area (flat terrain part of the Tana sub-basin). This study sought to assess the seasonal and regional physicochemical GW quality parameters for drinking appropriateness using the drinking water quality index (DWQI) and support vector machine (SVM). The main cations in both the dry and wet study seasons were, in decreasing order, Na

Indexed as

Drinking suitabilityDrinking water quality indexDry and wet seasonsHydrogeochemical faciesPhysicochemical characteristicsSupport vector machine

Identifiers

PMID38742059
PMCPMC11089328

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.