Identifying Sources of Organic and Inorganic Components in PM2.5 from Algeria: Insights from Diagnostic Ratios and PMF Analysis

Abstract The present study investigates the spatial variation, chemical composition and sources of PM 2.5 at five different sites in Bouira Province, Algeria. This work provides the first integrated multi-site molecular tracer and Positive matrix factorization (PMF) based source apportionment of PM 2.5 in Bouira Province, contributing new insights into aerosol sources in North African Mediterranean environments. Mean PM 2.5 concentrations ranged from 7.9 to 597 µg m −3 , indicating strong spatial variability driven by traffic, industrial, and natural sources, and underscoring the need for air quality control strategies aligned with World Health Organization guidelines. A comprehensive chemical characterization was performed, including water-soluble ions, trace metals, carbonaceous fractions, and organic compounds (n-alkanes, PAHs, hopanes, sugars, and dicarboxylic acids). Total PAHs ranged from 1.39 to 56.8 ng m −3 , with highest levels at traffic and industrial sites. Oxygenated PAHs exceeded methyl-PAHs at all locations, reaching 7.46 ng m −3 , reflecting secondary formation processes. Hopanes ratios (C 29 αβ/C 30 αβ = 1.07–2.93) indicated mixed gasoline-diesel combustion sources. PMF applied to 74 PM 2.5 samples and 80 species resolved seven factor with strong model performance (r 2 = 0.98). PM 2.5 was dominated by soil/dust (34%) and a mixed marine-saline factor (24%), followed by petrochemical activities (12%), diesel vehicles (11%), nitrate (11%), metallurgical processes (6%), and gasoline vehicles (2%). Source profiles were well distinguished using specific tracers (e.g., PAHs, EC, Pb for traffic; V and Mo for petrochemical sources; crustal elements for dust and sea spray by marine ions). These findings provide robust source attribution and highlight the importance of integrated chemical approaches to support air quality management in data-scarce regions. Graphical Abstract

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Publication Details

Journal
Aerosol and Air Quality Research
Published
2026-05-18
DOI
https://doi.org/10.1007/s44408-026-00133-2
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
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article

Identifying Sources of Organic and Inorganic Components in PM2.5 from Algeria: Insights from Diagnostic Ratios and PMF Analysis

Khanneh Wadinga Fomba, Dominik van Pinxteren, Sidali Khedidji, Noureddine Yassaa et al.
Aerosol and Air Quality Research
Atmospheric chemistry and aerosols
article

Identifying Sources of Organic and Inorganic Components in PM2.5 from Algeria: Insights from Diagnostic Ratios and PMF Analysis

Khanneh Wadinga Fomba, Dominik van Pinxteren, Sidali Khedidji, Noureddine Yassaa, Yago Cipoli, Hartmut Herrmann, Célia Alves
article en

Abstract

Abstract The present study investigates the spatial variation, chemical composition and sources of PM 2.5 at five different sites in Bouira Province, Algeria. This work provides the first integrated multi-site molecular tracer and Positive matrix factorization (PMF) based source apportionment of PM 2.5 in Bouira Province, contributing new insights into aerosol sources in North African Mediterranean environments. Mean PM 2.5 concentrations ranged from 7.9 to 597 µg m −3 , indicating strong spatial variability driven by traffic, industrial, and natural sources, and underscoring the need for air quality control strategies aligned with World Health Organization guidelines. A comprehensive chemical characterization was performed, including water-soluble ions, trace metals, carbonaceous fractions, and organic compounds (n-alkanes, PAHs, hopanes, sugars, and dicarboxylic acids). Total PAHs ranged from 1.39 to 56.8 ng m −3 , with highest levels at traffic and industrial sites. Oxygenated PAHs exceeded methyl-PAHs at all locations, reaching 7.46 ng m −3 , reflecting secondary formation processes. Hopanes ratios (C 29 αβ/C 30 αβ = 1.07–2.93) indicated mixed gasoline-diesel combustion sources. PMF applied to 74 PM 2.5 samples and 80 species resolved seven factor with strong model performance (r 2 = 0.98). PM 2.5 was dominated by soil/dust (34%) and a mixed marine-saline factor (24%), followed by petrochemical activities (12%), diesel vehicles (11%), nitrate (11%), metallurgical processes (6%), and gasoline vehicles (2%). Source profiles were well distinguished using specific tracers (e.g., PAHs, EC, Pb for traffic; V and Mo for petrochemical sources; crustal elements for dust and sea spray by marine ions). These findings provide robust source attribution and highlight the importance of integrated chemical approaches to support air quality management in data-scarce regions. Graphical Abstract

Aerosol and Air Quality Research
University of Sciences and Technology Houari Boumediene (DZ), University of Bouira (DZ), Leibniz Institute for Tropospheric Research (DE), University of Aveiro (PT)
Leibniz-Institut für Troposphärenforschung
Openalex Percentile: Top 5%
Atmospheric chemistry and aerosols
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