Evidence map›Paper›PMID 40796641›Full record

ArticleScientific reports2025

Monte carlo simulation for evaluating spatial dynamics of toxic metals and potential health hazards in sebou basin surface water.

Hatim Sanad, Rachid Moussadek, Latifa Mouhir, Majda Oueld Lhaj, Houria Dakak, Khadija Manhou, Abdelmjid Zouahri

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Simulation of Winter Wheat (Plants (Basel, Switzerland) · 2026
    Article
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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

7 authors.

Hatim SanadLaboratory of Process Engineering and Environment, Faculty of Science and Technology Mohammedia, University Hassan II of Casablanca, 28806, Mohammedia, Morocco. hatim.sanad99@gmail.com.
Rachid MoussadekInternational Center for Agricultural Research in the Dry Areas (ICARDA), 10100, Rabat, Morocco.
Latifa MouhirLaboratory of Process Engineering and Environment, Faculty of Science and Technology Mohammedia, University Hassan II of Casablanca, 28806, Mohammedia, Morocco.
Majda Oueld LhajLaboratory of Process Engineering and Environment, Faculty of Science and Technology Mohammedia, University Hassan II of Casablanca, 28806, Mohammedia, Morocco.
Houria DakakResearch Unit On Environment and Conservation of Natural Resources, AV Ennasr, Regional Center of Rabat, National Institute of Agricultural Research, 10101, Rabat, Morocco.
Khadija ManhouLaboratory of Agrophysiology and Phytobiotechnology, Department of Biology, Faculty of Sciences, Ibn Tofail University, Kenitra, Morocco.
Abdelmjid ZouahriResearch Unit On Environment and Conservation of Natural Resources, AV Ennasr, Regional Center of Rabat, National Institute of Agricultural Research, 10101, Rabat, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface water is vital for environmental sustainability and agricultural productivity but is highly vulnerable to heavy metals (HMs) pollution from human activities. The focus of this research is to provide an analysis of ecological and human exposure to HMs in the Sebou Basin, an agriculturally significant region within Morocco's Gharb Plain. Using a multi-index integration approach, encompassing HM pollution indices, Human Health Risk Assessment (HHRA), Monte Carlo Simulation (MCS), multivariate statistical analysis (MSA), and Geographic Information Systems (GIS), twenty samples of surface water were taken and subjected to analysis. The results demonstrated notable spatial variability, with the northwestern, southwestern, and western parts of the Sebou Basin showing higher contamination levels. Cu exhibited the highest hazard quotient for ingestion, while Cr exceeded the hazard index (HI) threshold in both age categories. Statistical analysis uncovered strong associations, particularly between As and Cr, while principal component analysis (PCA) detected two key factors explaining 74.44% of the overall variability. Pollution indices classified all samples as highly contaminated (HPI > 30), with 65% categorized as "seriously affected" (MI > 6). The HHRA results indicated a heightened non-carcinogenic risk for children and carcinogenic risks exceeding acceptable thresholds (TCR > 10

Indexed as

Environmental MonitoringMetals, HeavyWater Pollutants, ChemicalGeographic Information SystemsHumansMonte Carlo MethodMoroccoPrincipal Component AnalysisRisk AssessmentMetals, HeavyWater Pollutants, ChemicalAgricultural runoffEcotoxicologyGISHealth risk assessmentSurface waterToxic metals

Identifiers

PMID40796641
PMCPMC12344007

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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.