Evidence map›Paper›PMID 37438513›Full record

ArticleEnvironmental science and pollution research international2024

Evaluation of groundwater quality in the rural environment using geostatistical analysis and WebGIS methods in a Hungarian settlement, Báránd.

Dániel Balla, Emőke Kiss, Marianna Zichar, Tamás Mester

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2024. 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.

Dániel BallaDepartment of Data Science and Visualization, Faculty of Informatics, University of Debrecen, Debrecen, H-4028, Hungary. balla.daniel@inf.unideb.hu.ORCID http://orcid.org/0000-0002-8051-1518
Emőke KissDepartment of Landscape Protection and Environmental Geography, University of Debrecen, Debrecen, H-4032, Hungary.ORCID http://orcid.org/0000-0003-4976-1241
Marianna ZicharDepartment of Data Science and Visualization, Faculty of Informatics, University of Debrecen, Debrecen, H-4028, Hungary.ORCID http://orcid.org/0000-0002-1943-6053
Tamás MesterDepartment of Landscape Protection and Environmental Geography, University of Debrecen, Debrecen, H-4032, Hungary.ORCID http://orcid.org/0000-0001-7484-7560

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evaluation, visualization of environmental data from long-term monitoring, and making them accessible in a processed form in user-friendly interfaces on the Internet are important tasks of our time. The pollution of groundwater resources in settlements is a global phenomenon, the mitigation of which requires a number of environmental measures. In this study, water quality changes following the construction of a sewerage network were examined in the course of long-term monitoring between 2013 and 2022, during which 40 municipal groundwater wells were regularly sampled. Classifying the monitoring data into pollution categories based on water quality index (WQI) and degree of contamination index (Cd), a high degree of contamination was found in the period before the installation of the sewerage network (2014), as the majority of the wells were classified as contaminated and heavily contaminated. In the monitoring period following the installation of the sewerage network, a significant positive change was found in the case of most of the water chemical parameters tested (EC, NH

Indexed as

Environmental MonitoringGroundwaterWater Pollutants, ChemicalWater QualityHungaryWater Pollutants, ChemicalCleaning processCloudDegree of contaminationHungaryWater quality indexWebGIS

Identifiers

PMID37438513
PMCPMC11481641

What OpenQuestion holds

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LicenceCC BY
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.