Evidence map›Paper›PMID 41152482›Full record

ArticleScientific reports2025

Integrated groundwater quality assessment using geochemical modelling and machine learning approach in Northern India.

Raisul Islam, Alok Sinha, Athar Hussain, Kamlesh Deshmukh, Mohammad Usama, Salman Ahmed, Rajesh Kumar Deolia, Jitendra Kumar, Shahjad Ali

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

9 authors.

Raisul IslamDepartment of Civil Engineering, GLA University, Mathura, India.
Alok SinhaDepartment of Environmental Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India.
Athar HussainDepartment of Civil Engineering, Netaji Subhas University of Technology, New Delhi, India.
Kamlesh DeshmukhDepartment of Computer Science and Engineering, Anand Engineering College, Agra, India.
Mohammad UsamaDepartment of Environmental Science, Integral University, Lucknow, India.
Salman AhmedInterdisciplinary Department of Remote Sensing and GIS Applications, Aligarh Muslim University, Aligarh, India.
Rajesh Kumar DeoliaDepartment of Applied Science (Mathematics), G.L. Bajaj Group of Institutions, Mathura, India.
Jitendra KumarDepartment of Mathematics and Computing, Madhav Institute of Technology & Science-DU, Gwalior, M.P., India.
Shahjad AliDepartment of Environmental Science, Sharda University Agra, Keetham, Agra, 282007, India. alishahzad75@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Groundwater is an essential resource for global drinking and agricultural practices, but it is increasingly threatened by contamination. A comprehensive study was conducted for groundwater quality at 23 different locations in Kasganj, Uttar Pradesh, India, utilizing state-of-the-art Water Quality Indexing (WQI) and Irrigation Water Quality Indexing (IWQI) techniques. A total of one hundred fifteen groundwater samples were analyzed for twelve water quality aspects: pH, total dissolved solids (TDS), total alkalinity, total hardness, calcium (Ca

Indexed as

Ganga basinGibbs diagramIrrigation water quality indexingMachine learningPiper diagramWater quality indexing

Identifiers

PMID41152482
PMCPMC12569083

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.