Evidence map›Paper›PMID 36118735›Full record

ArticleEnvironment, development and sustainability2022

Hydrochemical characterization of groundwater quality using chemometric analysis and water quality indices in the foothills of Himalayas.

Anjali Nayak, Gagan Matta, D P Uniyal

Abstract read
In one paragraph

Article in Environment, development and sustainability, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

3 authors.

Anjali NayakHydrological Research Lab., Department of Zoology and Environmental Science, Gurukul Kangri (Deemed to Be University), Haridwar, India.
Gagan MattaHydrological Research Lab., Department of Zoology and Environmental Science, Gurukul Kangri (Deemed to Be University), Haridwar, India.ORCID 0000-0002-2893-7108
D P UniyalUttarakhand State Council for Science and Technology, Dehradun, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Groundwater pollution of the watershed is mainly influenced by the multifaceted interactions of natural and anthropogenic process. To analyse the spatial-temporal variation and pollution source identification and apportionment, the dataset was subjected to a globally acknowledged coherent technique using water quality indices and chemometric techniques (principal component analysis (PCA) and cluster analysis. The bulk of the samples tested were below the BIS's permissible levels. Groundwater samples from the pre- and post-monsoon seasons mostly contained the anions HCO

Indexed as

Chemometric techniquesContamination index (Cd)Foothills of HimalayasIndustrial toxicityIrrigation usePollution index of groundwater (PIG)Region

Identifiers

PMID36118735
PMCPMC9468253

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.