Evidence map›Paper›PMID 35066782›Full record

ArticleEnvironmental science and pollution research international2022

Hydrochemical characteristics and identification of groundwater pollution sources in tropical savanna.

Abduljalal Abdulsalam, Mohammad Firuz Ramli, Nor Rohaizah Jamil, Zulfa Hanan Ashaari, Da'u Abba Umar

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

5 authors.

Abduljalal AbdulsalamDepartment of Environment, Faculty of Forestry and Environment, Universiti Putra Malaysia, UPM 43400 Serdang, Selangor, Malaysia.
Mohammad Firuz RamliDepartment of Environment, Faculty of Forestry and Environment, Universiti Putra Malaysia, UPM 43400 Serdang, Selangor, Malaysia. firuz@upm.edu.my.
Nor Rohaizah JamilDepartment of Environment, Faculty of Forestry and Environment, Universiti Putra Malaysia, UPM 43400 Serdang, Selangor, Malaysia.
Zulfa Hanan AshaariDepartment of Environment, Faculty of Forestry and Environment, Universiti Putra Malaysia, UPM 43400 Serdang, Selangor, Malaysia.
Da'u Abba UmarDepartment of Environmental Sciences, Faculty of Science, Federal University Dutse, Dutse, Nigeria.

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 processes. In this study, classic chemical and multivariate statistical methods were utilized to assess the groundwater quality and ascertain the potential contamination sources affecting the groundwater quality of Galma sub-watershed in a tropical savanna. For this purpose, the data set of 18 groundwater quality variables covering 57 different sampling boreholes (BH) was used. The groundwater samples essentially contained the cations in the following order of dominance: Ca

Indexed as

GroundwaterWater Pollutants, ChemicalAnionsEnvironmental MonitoringGrasslandIonsWaterWater QualityAnionsIonsWaterWater Pollutants, ChemicalClassic chemical methodGroundwaterPollution sourcesTropical savanna

Identifiers

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.