Evidence map›Paper›PMID 29081009›Full record

ArticleEnvironmental geochemistry and health2018

Source apportionment and health risk assessment of potentially toxic elements in road dust from urban industrial areas of Ahvaz megacity, Iran.

Ali Najmeddin, Behnam Keshavarzi, Farid Moore, Ahmadreza Lahijanzadeh

Abstract read
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Article in Environmental geochemistry and health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Environmental surveillance of the health risk of PMFrontiers in public health · 2025
    Article
  4. Article
  5. Article
  6. Heavy Metal Pollution and Risk Assessment of Surface Dust in the Arid NW China.International journal of environmental research and public health · 2022
    Article
  7. Article
  8. Article
  9. Review
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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

4 authors.

Ali NajmeddinDepartment of Earth Sciences, College of Sciences, Shiraz University, Shiraz, 71454, Iran.
Behnam KeshavarziDepartment of Earth Sciences, College of Sciences, Shiraz University, Shiraz, 71454, Iran. bkeshavarzi@shirazu.ac.ir.
Farid MooreDepartment of Earth Sciences, College of Sciences, Shiraz University, Shiraz, 71454, Iran.
Ahmadreza LahijanzadehKhuzestan Environmental Protection Office, Ahvaz, Iran.

Funding

Khuzestan environmental protection office 40401715
6 · The paper itself

Abstract

This study investigates the occurrence and spatial distribution of potentially toxic elements (PTEs) (Hg, Cd, Cu, Mo, Pb, Zn, Ni, Co, Cr, Al, Fe, Mn, V and Sb) in 67 road dust samples collected from urban industrial areas in Ahvaz megacity, southwest of Iran. Geochemical methods, multivariate statistics, geostatistics and health risk assessment model were adopted to study the spatial pollution pattern and to identify the priority pollutants, regions of concern and sources of the studied PTEs. Also, receptor positive matrix factorization model was employed to assess pollution sources. Compared to the local background, the median enrichment factor values revealed the following order: Sb > Pb > Hg > Zn > Cu > V > Fe > Mo > Cd > Mn > Cr ≈ Co ≈ Al ≈ Ni. Statistical results show that a significant difference exists between concentrations of Mo, Cu, Pb, Zn, Fe, Sb, V and Hg in different regions (univariate analysis, Kruskal-Wallis test p < 0.05), indicating the existence of highly contaminated spots. Integrated source identification coupled with positive matrix factorization model revealed that traffic-related emissions (43.5%) and steel industries (26.4%) were first two sources of PTEs in road dust, followed by natural sources (22.6%) and pipe and oil processing companies (7.5%). The arithmetic mean of pollution load index (PLI) values for high traffic sector (1.92) is greater than industrial (1.80) and residential areas (1.25). Also, the results show that ecological risk values for Hg and Pb in 41.8 and 9% of total dust samples are higher than 80, indicating their considerable or higher potential ecological risk. The health risk assessment model showed that ingestion of dust particles contributed more than 83% of the overall non-carcinogenic risk. For both residential and industrial scenarios, Hg and Pb had the highest risk values, whereas Mo has the lowest value.

Indexed as

Risk AssessmentTransportationDustEnvironmental PollutantsHazardous SubstancesHumansIndustrial WasteIranMetals, HeavyVehicle EmissionsDustEnvironmental PollutantsHazardous SubstancesIndustrial WasteMetals, HeavyVehicle EmissionsIndustrial activitiesMultivariate statisticsPollution assessmentPositive matrix factorizationUrban dust pollution

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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.