Evidence map›Paper›PMID 41764375›Full record

ArticleWater science and technology : a journal of the International Association on Water Pollution Research2026

Assessment of nitrate contamination and groundwater suitability in a hyper-arid region using GWQI, PCA, and geochemical tools.

Imane Radja, Abdessamed Derdour, Tayyib Moussaoui, Abdulrahman Seraj Almalki, Prabhu Paramasivam, Khaled A El-Nagdy, Mohamed A Eizeldin

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Article in Water science and technology : a journal of the International Association on Water Pollution Research, 2026. 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. Development and deployment of a groundwater quality prediction tool for Béchar, Southwest Algeria: benchmarking seven machine learning algorithms.Water science and technology : a journal of the International Association on Water Pollution Research · 2026
    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

7 authors.

Imane RadjaEnergy and Environment Laboratory, University Center of Naama, P.O. Box 66, Naama 45000, Algeria.
Abdessamed DerdourArtificial Intelligence Laboratory for Mechanical and Civil Structures and Soil, University Center of Naama, P.O. Box 66, Naama 45000, Algeria.
Tayyib MoussaouiLaboratory for the Sustainable Management of Natural Resources in Arid and Semi-Arid Zones, University Center of Naama, Naama 45000, Algeria.
Abdulrahman Seraj AlmalkiCivil and Environmental Engineering Department, College of Engineering and Computing in Al-Qunfudhah, Umm Al-Qura University, Mecca, Saudi Arabia.
Prabhu ParamasivamDepartment of Research and Innovation, Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu 602105, India.ORCID https://orcid.org/0000-0002-2397-0873
Khaled A El-NagdyDepartment of Civil Engineering, College of Engineering, Taif University, P.O. BOX 11099, Taif 21944, Saudi Arabia.
Mohamed A EizeldinCivil Engineering Department, Faculty of Engineering of Mataria, Helwan University, Helwan, Egypt.ORCID https://orcid.org/0000-0002-2393-1073

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Groundwater contamination, particularly nitrate pollution, poses serious health and environmental risks in hyper-arid regions, where water scarcity compounds these challenges. Despite its critical importance, comprehensive frameworks for assessing groundwater quality, focusing on nitrate contamination, remain limited. This study aims to evaluate nitrate contamination and overall suitability of groundwater for drinking and farming purposes in the hyper-arid Adrar region of southwestern Algeria, where salinity and nitrate pollution pose significant risks. One hundred and thirty groundwater specimens were gathered and analyzed for 12 physicochemical features. To assess contamination sources and water quality, an integrated approach combining the groundwater quality index (GWQI), principal component analysis (PCA), and geochemical tools (Gibbs and Piper diagrams) was applied. Results indicate that 80% of the samples were deemed to be in 'extremely poor' condition (GWQI > 150), with a mean total dissolved solids (TDS) concentration of 1,484.70 mg/L and nitrate concentrations averaging 43.05 mg/L, both of which exceed World Health Organization standards. PCA identified salinity (47.33% variance) and nitrate contamination (9.95% variance) as the primary contributors, which are linked to mineral dissolution and agricultural inputs. The findings underscore the urgent need for sustainable water management and provide a replicable model for assessing groundwater quality in similarly challenged regions.

Indexed as

Environmental MonitoringGroundwaterNitratesWater Pollutants, ChemicalAlgeriaPrincipal Component AnalysisWater QualityNitratesWater Pollutants, Chemicalgroundwater qualityGWQIhealth hazardshyper-arid regionnitrate pollution

Identifiers

PMID41764375

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Registered trials

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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.