Evidence map›Paper›PMID 39128943›Full record

ArticleScientific reports2024

Assessing surface water quality in Hungary's Danube basin using geochemical modeling, multivariate analysis, irrigation indices, and Monte Carlo simulation.

Omar Saeed, András Székács, Győző Jordán, Mária Mörtl, Mostafa R Abukhadra, Ahmed M El-Sherbeeny, Péter Szűcs, Mohamed Hamdy Eid

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

8 authors.

Omar SaeedDoctoral School of Environmental Science, Hungarian University of Agriculture and Life Sciences (MATE), Páter Károly u. 1, Gödöllő, 2100, Hungary. Saeed.Omar.Abdulhakim.Hizam@phd.uni-mate.hu.
András SzékácsDoctoral School of Environmental Science, Hungarian University of Agriculture and Life Sciences (MATE), Páter Károly u. 1, Gödöllő, 2100, Hungary.
Győző JordánEötvös Loránd University (ELTE), Budapest, Hungary.
Mária MörtlAgro-Environmental Research Centre, Institute of Environmental Sciences, Hungarian University of Agriculture and Life Sciences, Páter Károly u. 1, Gödöllő, 2100, Hungary.
Mostafa R AbukhadraGeology Department, Faculty of Science, Beni-Suef University, Beni-Suef, 65211, Egypt.
Ahmed M El-SherbeenyIndustrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, 11421, Riyadh, Saudi Arabia.
Péter SzűcsInstitute of Environmental Management, Faculty of Earth Science, University of Miskolc, Miskolc, 3515, Hungary.
Mohamed Hamdy EidGeology Department, Faculty of Science, Beni-Suef University, Beni-Suef, 65211, Egypt. mohamedhamdy@science.bsu.edu.eg.

Funding

Hungarian National Research, Development, and Innovation Office TKP2021-NVA-22King Saud University RSP2024R133
6 · The paper itself

Abstract

Evaluation of water quality is crucial for managing surface water effectively, ensuring its suitability for human use, and sustaining the environment. In the lower Danube River basin, various methods were employed to assess surface water quality for irrigation, drinking, human health risk purposes and the main mechanism control the surface water chemistry. These methods included water quality indicators (WQIs), complex statistical analyses, geographic information systems (GIS), Monte Carlo simulation, and geochemical modeling. Physicochemical analyses of surface water samples revealed primarily Ca-Mg-HCO

Indexed as

Danube RiverHydrochemical assessmentIrrigation and drinking WQIsMachine learning modelsPC analysis

Identifiers

PMID39128943
PMCPMC11317494

What OpenQuestion holds

Textmetadata
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.