Evidence map›Paper›PMID 38565529›Full record

ArticleScientific reports2024

Integrated management of groundwater quantity, physicochemical properties, and microbial quality in West Nile delta using a new MATLAB code and geographic information system mapping.

Mohamed Shehata, Samir M Zaid, Soha T Al-Goul, Ashwag Shami, Khalid M Al Syaad, Ahmed Ezzat Ahmed, Yasser S Mostafa, Diana A Al-Quwaie, Mada F Ashkan, Fatimah S Alqahtani and 4 more

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

14 authors.

Mohamed ShehataGeology Department, Faculty of Science, Zagazig University, Zagazig, 44511, Egypt.
Samir M ZaidGeology Department, Faculty of Science, Zagazig University, Zagazig, 44511, Egypt.
Soha T Al-GoulDepartment of Chemistry, College of Science and Arts, King Abdulaziz University, Rabigh, 21911, Saudi Arabia.
Ashwag ShamiDepartment of Biology, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia.
Khalid M Al SyaadBiology Department, College of Science, King Khalid University, Abha, 61413, Saudi Arabia.
Ahmed Ezzat AhmedBiology Department, College of Science, King Khalid University, Abha, 61413, Saudi Arabia.
Yasser S MostafaBiology Department, College of Science, King Khalid University, Abha, 61413, Saudi Arabia.
Diana A Al-QuwaieBiological Sciences Department, College of Science and Arts, King Abdulaziz University, Rabigh, 21911, Saudi Arabia.
Mada F AshkanBiological Sciences Department, College of Science and Arts, King Abdulaziz University, Rabigh, 21911, Saudi Arabia.
Fatimah S AlqahtaniDepartment of Biology, Faculty of Sciences, University of Bisha, Bisha, 61922, Saudi Arabia.
Yusuf A HassanGeology Department, Faculty of Science, Zagazig University, Zagazig, 44511, Egypt.
Taha F TahaBiochemistry Department, Faculty of Agriculture, Zagazig University, Zagazig, 44511, Egypt.
Khaled A El-TarabilyDepartment of Biology, College of Science, United Arab Emirates University, Al Ain, 15551, United Arab Emirates.ORCID 0000-0002-8189-7088
Synan F AbuQamarDepartment of Biology, College of Science, United Arab Emirates University, Al Ain, 15551, United Arab Emirates. sabuqamar@uaeu.ac.ae.ORCID 0000-0002-2129-7689

Funding

Abu Dhabi Department of Education and Knowledge (ADEK) Grant Reference Number: 21S105Deanship of Scientific Research at King Khalid University Grant Reference Number: R.G.P2/77/44Khalifa Center for Biotechnology and Genetic Engineering (KCGEB) Grant Reference Number: 31R286Princess Nourah bint Abdulrahman University Researchers Supporting Project Grant Reference Number: PNURSP2023R31UAEU Program for Advanced Research (UPAR) Grant Reference Number: 12S169
6 · The paper itself

Abstract

Groundwater is an excellent alternative to freshwater for drinking, irrigation, and developing arid regions. Agricultural, commercial, industrial, residential, and municipal activities may affect groundwater quantity and quality. Therefore, we aimed to use advanced methods/techniques to monitor the piezometric levels and collect groundwater samples to test their physicochemical and biological characteristics. Our results using software programs showed two main types of groundwater: the most prevalent was the Na-Cl type, which accounts for 94% of the groundwater samples, whereas the Mg-Cl type was found in 6% of samples only. In general, the hydraulic gradient values, ranging from medium to low, could be attributed to the slow movement of groundwater. Salinity distribution in groundwater maps varied between 238 and 1350 mg L

Indexed as

GroundwaterWater Pollutants, ChemicalEnvironmental MonitoringGeographic Information SystemsWaterWater QualityWater WellsWaterWater Pollutants, ChemicalBacterial countDrawdown simulationGISGroundwaterPhysicochemical qualityQuaternary aquifer systemSalinity maps

Identifiers

PMID38565529
PMCPMC10987591

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.