CoChat
Sign Up
Cited by 72Heavy metals in environmentAtmospheric chemistry and aerosolsAir Quality and Health Impacts

The DOI matches its Crossref record.

Characterization of metals in PM1 and PM10 and health risk evaluation at an urban site in the western Mediterranean

Galindo, N., Yubero, E., Nicolás, J.F., Varea, M., Crespo, J.·2018·Chemosphere
DOI 10.1016/j.chemosphere.2018.02.162
Open this paper in CoChat — free account

Abstract

PM 1 and PM 10 samples collected in the urban center of Elche during two years were analyzed by Energy Dispersive X-Ray Fluorescence in order to determine the concentrations of the following metals: K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, Sr and Ba. The influence of traffic and Saharan dust intrusions on PM levels and metal content was studied in this work. The results indicate that the coarse fraction was affected more by variations in traffic intensity than the submicron fraction. The concentrations of Ca, commonly used as a tracer of road dust, showed the highest decreases during the weekends due to the reduction in traffic-induced resuspension. In contrast, Saharan events had a greater impact on the levels of other metals such as Ti and Fe, significantly affecting their seasonal variability. High concentrations of V and Ni compared with the values found at larger urban areas were observed. This could be attributed to a significant contribution from soils, Saharan dust and even ship emissions. Enrichment factors calculated using Ti as a reference element indicate that Zn and Cu are predominantly emitted by anthropogenic activities. In fact, Saharan dust intrusions had a minor influence on the average concentrations of these metals. Non-carcinogenic health hazards associated with exposure to airborne metals were lower than the safety threshold (hazard quotient < 1). Carcinogenic risks for Cr (VI) and Ni were between 10-6 and 10-4 and, therefore, within the range considered acceptable by the US EPA.

Overview

Integrity signals

Registry

Crossref · 10.1016/j.chemosphere.2018.02.162

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 50

  1. Arhami, 2017, Seasonal trends, chemical speciation and source apportionment of fine PM in Tehran, Atmos. Environ., 153, 70, 10.1016/j.atmosenv.2016.12.046 · DOI
  2. Athanasopoulou, 2016, Long-range transport of Saharan dust and chemical transformations over the Eastern Mediterranean, Atmos. Environ., 140, 592, 10.1016/j.atmosenv.2016.06.041 · DOI
  3. Bari, 2016, Fine particulate matter (PM2.5) in Edmonton, Canada: source apportionment and potential risk for human health, Environ. Pollut., 218, 219, 10.1016/j.envpol.2016.06.014 · DOI
  4. Becagli, 2012, Evidence for heavy fuel oil combustion aerosols from chemical analyses at the island of Lampedusa: a possible large role of ships emissions in the Mediterranean, Atmos. Chem. Phys., 12, 3479, 10.5194/acp-12-3479-2012 · DOI
  5. Bosco, 2005, Case study: inorganic pollutants associated with particulate matter from an area near a petrochemical plant, Environ. Res., 99, 18, 10.1016/j.envres.2004.09.011 · DOI
  6. Bove, 2016, PM10 source apportionment applying PMF and chemical tracer analysis to ship-borne measurements in the Western Mediterranean, Atmos. Environ., 125, 140, 10.1016/j.atmosenv.2015.11.009 · DOI
  7. Brown, 2014, UK concentrations of chromium and chromium (VI), measured as water-soluble chromium, in PM10, Atmos. Environ., 99, 385, 10.1016/j.atmosenv.2014.10.008 · DOI
  8. Chen, 2008, Sources and fluxes of atmospheric trace elements to the Gulf of Aqaba, Red sea, J. Geophys. Res., 113
  9. Chen, 2009, Effects of metals within ambient air particulate matter (PM) on human health, Inhal. Toxicol., 21, 1, 10.1080/08958370802105405 · DOI
  10. Cheung, 2010, Emissions of particulate trace elements, metals and organic species from gasoline, diesel, and biodiesel passenger vehicles and their relation to oxidative potential, Aerosol. Sci. Technol., 44, 500, 10.1080/02786821003758294 · DOI
  11. Chiari, 2018, Comparison of PIXE and XRF analysis of airborne particulate matter samples collected on Teflon and quartz fibre filters, Nucl. Instrum. Meth. B, 417, 128, 10.1016/j.nimb.2017.07.031 · DOI
  12. Cho, 2011, A literature review of concentrations and size distributions of ambient airborne Pb-containing particulate matter, Atmos. Environ., 45, 5005, 10.1016/j.atmosenv.2011.05.009 · DOI
  13. Crespi, 2016, Implementing constrained multi-time approach with bootstrap analysis in ME-2: an application to PM2.5 data from Florence (Italy), Sci. Total Environ., 541, 502, 10.1016/j.scitotenv.2015.08.159 · DOI
  14. Cuspilici, 2017, Study of Saharan dust influence on PM10 measures in Sicily from 2013 to 2015, Ecol. Indic, 76, 297, 10.1016/j.ecolind.2017.01.016 · DOI
  15. Diapouli, 2017, Evolution of air pollution source contributions over one decade, derived by PM10 and PM2.5 source apportionment in two metropolitan urban areas in Greece, Atmos. Environ., 164, 416, 10.1016/j.atmosenv.2017.06.016 · DOI
  16. Díaz, 2012, Saharan dust and association between particulate matter and case-specific mortality: a case-crossover analysis in Madrid (Spain), Environ. Health, 11, 1, 10.1186/1476-069X-11-11 · DOI
  17. Engelbrecht, 2013, Assessing sources of airborne mineral dust and other aerosols, in Iraq, Aeolian Res., 9, 153, 10.1016/j.aeolia.2013.02.003 · DOI
  18. Galindo, 2013, Seasonal and interannual trends in PM levels and associated inorganic ions in southeastern Spain, Microchem. J., 110, 81, 10.1016/j.microc.2013.02.009 · DOI
  19. Galindo, 2017, Day-night variability of water-soluble ions in PM10 samples collected at a traffic site in southeastern Spain, Environ. Sci. Pollut. Res., 24, 805, 10.1007/s11356-016-7836-1 · DOI
  20. Galindo, 2017, Regional and long-range transport of aerosols at Mt. Aitana, Southeastern Spain, Sci. Total Environ., 584–585, 723, 10.1016/j.scitotenv.2017.01.108 · DOI
  21. Gottipolu, 2008, Cardiopulmonary responses of intratracheally instilled tire particles and constituent metal components, Inhal. Toxicol., 20, 473, 10.1080/08958370701858427 · DOI
  22. Grigoratos, 2015, Brake wear particle emissions: a review, Environ. Sci. Pollut. Res., 22, 2491, 10.1007/s11356-014-3696-8 · DOI
  23. Lippmann, 2009, Health effects of concentrated ambient air particulate matter (CAPs) and its components, Crit. Rev. Toxicol., 39, 865, 10.3109/10408440903300080 · DOI
  24. López, 2005, Levels of selected metals in ambient air PM10 in an urban site of Zaragoza (Spain), Environ. Res., 99, 58, 10.1016/j.envres.2005.01.007 · DOI
  25. Megido, 2017, Suburban air quality: human health hazard assessment of potentially toxic elements in PM10, Chemosphere, 177, 284, 10.1016/j.chemosphere.2017.03.009 · DOI
  26. Monaci, 2000, Biomonitoring of airborne metals in urban environments: new tracers of vehicle emission, in place of lead, Environ. Pollut., 107, 321, 10.1016/S0269-7491(99)00175-X · DOI
  27. Nava, 2012, Saharan dust impact in central Italy: an overview on three years elemental data records, Atmos. Environ., 60, 444, 10.1016/j.atmosenv.2012.06.064 · DOI
  28. Nicolás, 2008, Quantification of Saharan and local dust impact in an arid Mediterranean area by the positive matrix factorization (PMF) technique, Atmos. Environ., 42, 8872, 10.1016/j.atmosenv.2008.09.018 · DOI
  29. Nicolás, 2009, Characterization of events by aerosol mass size distributions, J. Environ. Monit., 11, 394, 10.1039/B813042F · DOI
  30. Nicolás, 2011, Assessment of potential source regions of PM2.5 components at a southwestern Mediterranean site, Tellus B, 63, 96, 10.1111/j.1600-0889.2010.00510.x · DOI
  31. Nicolás, 2015, PM1 variability and transport conditions between an urban coastal área and a high mountain site during the cold season, Atmos. Environ., 118, 127, 10.1016/j.atmosenv.2015.07.042 · DOI
  32. Pacyna, 2001, An assessment of global and regional emissions of trace metals to the atmosphere from anthropogenic sources worldwide, Environ. Rev., 9, 269, 10.1139/a01-012 · DOI · Paper page
  33. Padoan, 2016, Spatial distribution and potential sources of trace elements in PM10 monitored in urban and rural sites of Piedmont Region, Chemosphere, 145, 495, 10.1016/j.chemosphere.2015.11.094 · DOI
  34. Pant, 2013, Estimation of the contribution of road traffic emissions to particulate matter concentrations from field measurements: a review, Atmos. Environ., 77, 78, 10.1016/j.atmosenv.2013.04.028 · DOI
  35. Pateraki, 2012, Carbonaceous and ionic compositional patterns of fine particles over an urban Mediterranean area, Sci. Total Environ., 424, 251, 10.1016/j.scitotenv.2012.02.046 · DOI
  36. Roels, 2012, Manganese exposure and cognitive deficits: a growing concern for manganese neurotoxicity, Neurotoxicology, 34, 872, 10.1016/j.neuro.2012.03.009 · DOI
  37. Roig, 2013, In vitro tests to assess toxic effects of airborne PM10 samples. Correlation with metals and chlorinated dioxins and furans, Sci. Total Environ., 443, 791, 10.1016/j.scitotenv.2012.11.022 · DOI
  38. Romanazzi, 2014, PM10 size distribution of metals and environmental-sanitary risk analysis in the city of Torino, Chemosphere, 112, 210, 10.1016/j.chemosphere.2014.04.034 · DOI
  39. Ruiz, 2011, Contribution of point sources to trace metal levels in urban areas surrounded by industrial activities in the Cantabria Region (Northern Spain), Procedia Environ. Sci., 4, 76, 10.1016/j.proenv.2011.03.010 · DOI
  40. Salvador, 2012, Evaluation of the changes in the Madrid metropolitan area influencing air quality: analysis of 1999–2008 temporal trend of particulate matter, Atmos. Environ., 57, 175, 10.1016/j.atmosenv.2012.04.026 · DOI
  41. Samara, 2005, Size distribution of airborne particulate matter and associated heavy metals in the roadside environment, Chemosphere, 59, 1197, 10.1016/j.chemosphere.2004.11.061 · DOI
  42. Sánchez-Soberón, 2015, Main components and human health risks assessment of PM10, PM2.5, and PM1 in two areas influenced by cement plants, Atmos. Environ., 120, 109, 10.1016/j.atmosenv.2015.08.020 · DOI
  43. Singh, 2002, Size distribution and diurnal characteristics of particle-bound metals in source and receptor sites of the Los Angeles Basin, Atmos. Environ., 36, 1675, 10.1016/S1352-2310(02)00166-8 · DOI
  44. Squizzato, 2016, Factors, origin and sources affecting PM1 concentrations and composition at an urban background site, Atmos. Res., 180, 262, 10.1016/j.atmosres.2016.06.002 · DOI
  45. Terrouche, 2016, Identification of sources of atmospheric particulate matter and trace metals in Constantoine, Algeria, Air Qual. Atmos. Health, 9, 69, 10.1007/s11869-014-0308-1 · DOI
  46. Thorpe, 2008, Sources and properties of non-exhaust particulate matter from road traffic: a review, Sci. Total Environ., 400, 270, 10.1016/j.scitotenv.2008.06.007 · DOI
  47. Tchounwou, 2012, Heavy metals toxicity and the environment, EXS, 101, 133
  48. Vasilatou, 2017, Characterization of PM2.5 chemical composition at the Demokritos suburban station, vol. 24, 11836
  49. Yeh, 2017, Effects of seasonality and transport route on chemical characteristics of PM2.5 and PM2.5-10 in the east Asian Pacific rim región, Aerosol Air Qual. Res., 17, 2988, 10.4209/aaqr.2016.12.0569 · DOI
  50. Yubero, 2015, Temporal variations of PM1 major components in an urban street canyon, Environ. Sci. Pollut. Res., 22, 10.1007/s11356-015-4599-z · DOI

Cited by

Sorted by citations

Metadata

Authors
Galindo, N., Yubero, E., Nicolás, J. F., Varea, M., & Crespo, J.
Affiliations
Universitat de Miguel Hernández d'Elx (ES)
Corresponding author
Galindo, N.
ORCID
Venue
Chemosphere
Publisher
Elsevier BV
Published
2018-06
Volume
201
Pages
243-250
ISSN
0045-6535 (ISSN-L)
DOI
10.1016/j.chemosphere.2018.02.162
OpenAlex
W2791047489
Cited by
72
References
0
Citations by year
2026: 6 · 2025: 12 · 2024: 4 · 2023: 11 · 2022: 9 · 2021: 9 · 2020: 11 · 2019: 7 · 2018: 3
FWCI
2.81
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Chemosphere (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Plan of the Spanish Government (CGL2012-39623-C02-2)
  • PRISMA
Topics
  • Physical Sciences › Environmental Science › Pollution › Heavy metals in environment
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
Keywords
PM1, PM10, urban particulate matter, trace metals, vehicle emissions, Saharan dust, Elche, enrichment factor, health risk assessment, cancer risk, non-carcinogenic risk, seasonal variation, road dust, ship emissions
MeSH terms
Air Pollutants, Dust, Environmental Monitoring, Humans, Metals, Urban Renewal, Risk Assessment, Mediterranean Region, Particulate Matter

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review