Evidence map›Paper›PMID 30862063›Full record

ArticleInternational journal of environmental research and public health2019

Hydrogeochemical Characterization and Suitability Assessment of Groundwater: A Case Study in Central Sindh, Pakistan.

Muhammad Afnan Talib, Zhonghua Tang, Asfandyar Shahab, Jamil Siddique, Muhammad Faheem, Mehak Fatima

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Evaluation of Shallow Groundwater Quality at Regional Scales Using Adaptive Water Quality Indices.International journal of environmental research and public health · 2022
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  3. 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.

Muhammad Afnan TalibSchool of Environmental Studies, China University of Geosciences, Wuhan 430074, China. afnantalib@cug.edu.cn.ORCID 0000-0001-9675-6854
Zhonghua TangSchool of Environmental Studies, China University of Geosciences, Wuhan 430074, China. zhhtang@cug.edu.cn.
Asfandyar ShahabCollege of Environmental Science & Engineering, Guilin University of Technology, Guilin 541000, China. Asfand_4u87@yahoo.com.
Jamil SiddiqueSchool of Environmental Studies, China University of Geosciences, Wuhan 430074, China. jamils@qau.edu.pk.
Muhammad FaheemSchool of Environmental Studies, China University of Geosciences, Wuhan 430074, China. faheem2u12@yahoo.com.
Mehak FatimaDepartment of Dermatology, University of Health Sciences, Lahore 54000, Pakistan. mehakfatima301@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Groundwater is the most important water resource, on which depends human geo-economic development and survival. Recent environmental changes and anthropogenic activities render groundwater severely vulnerable. Groundwater in Central Sindh, Pakistan, is facing a similar situation. Hydrogeochemical characteristics of the groundwater in the said region were investigated by analyzing 59 groundwater samples via agricultural and drinking indices, using various statistical methods and graphical approaches to identify factors affecting groundwater. Major reactions occurring in the groundwater system were quantified by hydrogeochemical modeling. A statistical summary reveals the abundance of cations is Na⁺ > Ca

Indexed as

AgricultureEnvironmental MonitoringGroundwaterHumansPakistanWater Pollutants, ChemicalWater QualityWater Pollutants, Chemicalcentral Sindhgroundwater pollutionhydrogeochemical modelingRohri Canal Commandwater qualityWater Quality Index

Identifiers

PMID30862063
PMCPMC6427645

What OpenQuestion holds

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LicenceCC BY
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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.