Evidence map›Paper›PMID 38358629›Full record

ArticleEnvironmental science and pollution research international2024

Enhancing groundwater vulnerability assessment for improved environmental management: addressing a critical environmental concern.

Yasir Abduljaleel, Mustapha Amiri, Ehab Mohammad Amen, Ali Salem, Zana Fattah Ali, Ahmed Awd, Dénes Lóczy, Mohamed Ghzal

Open access · hybridAbstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
8.7field-weighted citation impact, top 2% of its field
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

4 citing papers in PubMed, 25 citations in OpenAlex.

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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

8 authors at 6 institutions in 6 countries.

Yasir AbduljaleelDepartment of Civil and Environmental Engineering, Washington State University, Richland, WA, 99354, USA.
Mustapha AmiriGeomatics and Soil Management Laboratory, Faculty of Arts and Humanities, Université Mohammed Premier Oujda, 60000, Oujda, Morocco.
Ehab Mohammad AmenNatural Resources Research Center (NRRC), Tikrit University, Tikrit, 34001, Iraq.
Ali SalemCivil Engineering Department, Faculty of Engineering, Minia University, Minia, 61111, Egypt. salem.ali@mik.pte.hu.ORCID http://orcid.org/0000-0001-6176-8345
Zana Fattah AliDepartment of Geography, Faculty of Education, Koya University, Koysinjaq, 46011, Iraq.
Ahmed AwdDepartment of Food, Agriculture and Biological Engineering (FABE), The Ohio State University, Columbus, 43210, USA.
Dénes LóczyInstitute of Geography and Earth Sciences, Faculty of Sciences, University of Pécs, Ifjúság útja 6, 7624, Pécs, Hungary.
Mohamed GhzalGeomatics and Soil Management Laboratory, Faculty of Arts and Humanities, Université Mohammed Premier Oujda, 60000, Oujda, Morocco.
Mohamed I University · MAUniversity of Pecs · HUKoya University · IQMinistry of Water Resources and Irrigation · EGUniversidad de Granada · ESWashington State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Groundwater serves as a primary water source for various purposes. Therefore, aquifer pollution poses a critical threat to human health and the environment. Identifying the aquifer's highly vulnerable areas to pollution is necessary to implement appropriate remedial measures, thus ensuring groundwater sustainability. This paper aims to enhance groundwater vulnerability assessment (GWVA) to manage aquifer quality effectively. The study focuses on the El Orjane Aquifer in the Moulouya basin, Morocco, which is facing significant degradation due to olive mill wastewater. Groundwater vulnerability maps (GVMs) were generated using the DRASTIC, Pesticide DRASTIC, SINTACS, and SI methods. To assess the effectiveness of the proposed improvements, 24 piezometers were installed to measure nitrate concentrations, a common indicator of groundwater contamination. This study aimed to enhance GWVA by incorporating new layers, such as land use, and adjusting parameter rates based on a comprehensive sensitivity analysis. The results demonstrate a significant increase in Pearson correlation values (PCV) between the produced GVMs and measured nitrate concentrations. For instance, the PCV for the DRASTIC method improved from 0.42 to 0.75 after adding the land use layer and adjusting parameter rates using the Wilcoxon method. These findings offer valuable insights for accurately assessing groundwater vulnerability in areas with similar hazards and hydrological conditions, particularly in semi-arid and arid regions. They contribute to improving groundwater and environmental management practices, ensuring the long-term sustainability of aquifers.

Indexed as

GroundwaterNitratesEnvironmental MonitoringHumansWater PollutionWater SupplyNitratesDRASTICEl Orjane aquiferEnvironmental managementGroundwater vulnerabilitySISINTACS

Identifiers

PMID38358629
PMCPMC10927854
OpenAlexW4391842431

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.