Evidence map›Paper›PMID 35954956›Full record

ArticleInternational journal of environmental research and public health2022

Groundwater Quality Assessment in the Northern Part of Changchun City, Northeast China, Using PIG and Two Improved PIG Methods.

Xinkang Wang, Changlai Xiao, Xiujuan Liang, Mingqian Li

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Xinkang WangKey Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130021, China.
Changlai XiaoKey Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130021, China.
Xiujuan LiangKey Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130021, China.
Mingqian LiKey Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a numerical indicator, the pollution index of groundwater (PIG) has gained a great deal of popularity in quantifying groundwater quality for drinking purposes. However, its weight-determination procedure is rather subjective due to the absolute dependence on experts' experience. To make the evaluation results more accurate and convincing, two improved PIG models (CRITIC-PIG and Entropy-PIG) that integrate subjective weights and objective weights were designed, and they were employed to appraise groundwater suitability for drinking purposes in the northern part of Changchun City. A total of 48 water samples (34 unconfined water samples and 14 confined water samples) with abundances of Ca

Indexed as

Drinking WaterGroundwaterWater Pollutants, ChemicalChinaEnvironmental MonitoringWater QualityDrinking WaterWater Pollutants, ChemicalCRITIC-PIGEntropy-PIGgroundwater quality assessmentPIG

Identifiers

PMID35954956
PMCPMC9368171

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.