Dataset Information

Physiochemical characteristics and oxidative potential of ambient air particulate matter (PM₁₀) during dust and non-dust storm events: a case study in Tehran, Iran.

ABSTRACT: In the present study, we investigated the characteristics of metal(loid)s, polycyclic aromatic hydrocarbons (PAHs) and oxidative potential (OP) in PM₁₀ during dust and non-dust days in a rural and an urban area in Tehran. Water-soluble ions, metal(loid)s, PAHs, and OP were measured using ion chromatography (IC), inductively coupled plasma optical emission spectrometer (ICP-OES) and gas chromatography/mass spectrometry (GC-MS), and dithiothreitol (DTT) assay respectively. The results showed that the average concentrations of ambient PM₁₀ were 284?±?90.4 and 123?±?31.4 ?g m^-3 on dusty and regular days in urban areas respectively, and were 258?±?48.3 and 124?±?41.4 ?g m^-3 on dusty and regular days in rural areas, respectively; these values were 95% above the World Health Organization (WHO) guideline level. The crustal elements Na⁺, Mg²⁺, Ca²⁺, Al, Si, Fe and Ti were the dominant for PM₁₀ on dusty days, and NO^- ₃ and SO₄ ^2- were dominant for PM₁₀ on regular days. The average?±?SD concentrations of total PAHs were 34.3?±?22.5 and 55.1?±?28.3 ng m^-3 on dusty and regular days, respectively, with the maximum value occurring on inversion days. The average OP was 8.90?±?7.15 and 1.41?±?0.35 and was 11.4?±?3.97 and 19.9?±?8.67 (nmol min^-1 ?g PM₁₀ ^-1) for water and methanol extracts on dusty and regular days, respectively, with the lowest value occurring on dusty days. The OP was highly associated with Cu and Mn. Briefly; the results of this study demonstrate that OP is mass independent and consequence a promising proxy for PM mass.

SUBMITTER: Rezaei S

PROVIDER: S-EPMC6277329 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Physiochemical characteristics and oxidative potential of ambient air particulate matter (PM<sub>10</sub>) during dust and non-dust storm events: a case study in Tehran, Iran.

Rezaei Soheila S Naddafi Kazem K Hassanvand Mohammad Sadegh MS Nabizadeh Ramin R Yunesian Masud M Ghanbarian Maryam M Atafar Zahra Z Faraji Maryam M Nazmara Shahrokh S Mahmoudi Babak B Ghozikali Mohammad Ghanbari MG Ghanbarian Masoud M Gholampour Akbar A

Journal of environmental health science & engineering 20180629 2

In the present study, we investigated the characteristics of metal(loid)s, polycyclic aromatic hydrocarbons (PAHs) and oxidative potential (OP) in PM<sub>10</sub> during dust and non-dust days in a rural and an urban area in Tehran. Water-soluble ions, metal(loid)s, PAHs, and OP were measured using ion chromatography (IC), inductively coupled plasma optical emission spectrometer (ICP-OES) and gas chromatography/mass spectrometry (GC-MS), and dithiothreitol (DTT) assay respectively. The results s ...[more]

PMID: 30728987

Similar Datasets

Project description:Rapid urbanization and consuming lifestyles have intensified air pollution in urban areas. Air pollution in megacities has imposed severe environmental damages to human health. Proper management of the issue necessitates identification of the share of emission sources. Therefore, numerous research works have studied the apportionment of the total emissions and observed concentrations among different emissions sources. In this research, a comprehensive review is conducted to compare the source apportioning results for ambient air PM2.5 in the megacity of Tehran, the capital of Iran. One hundred seventy-seven pieces of scientific literatures, published between 2005 and 2021, were reviewed. The reviewed research are categorized according to the source apportioning methods: emission inventory (EI), source apportionment (SA), and sensitivity analysis of the concentration to the emission sources (SNA). The possible reasons for inconsistency among the results are discussed according to the scope of the studies and the implemented methods. Although 85% of the reviewed original estimates identify that mobile sources contribute to more thant 60% of Tehran air pollution, the distribution of vehicle types and modes are clearly inconsistent among the EI studies. Our review suggests that consistent results in the SA studies in different locations in central Tehran may indicate the reliability of this method for the identification of the type and share of the emission sources. In contrast, differences among the geographical and sectoral coverage of the EI studies and the disparities among the emission factors and activity data have caused significant deviations among the reviewed EI studies. Also, it is shown that the results of the SNA studies are highly dependent on the categorization type, model capabilities and EI presumptions and data input to the pollutant dispersion modelings. As a result, integrated source apportioning in which the three methods complement each other's results is necessary for consistent air pollution management in megacities.Supplementary informationThe online version contains supplementary material available at 10.1007/s40201-023-00855-0.

Dataset Information

Physiochemical characteristics and oxidative potential of ambient air particulate matter (PM₁₀) during dust and non-dust storm events: a case study in Tehran, Iran.

Publications

Physiochemical characteristics and oxidative potential of ambient air particulate matter (PM<sub>10</sub>) during dust and non-dust storm events: a case study in Tehran, Iran.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

Physiochemical characteristics and oxidative potential of ambient air particulate matter (PM10) during dust and non-dust storm events: a case study in Tehran, Iran.

Publications

Physiochemical characteristics and oxidative potential of ambient air particulate matter (PM<sub>10</sub>) during dust and non-dust storm events: a case study in Tehran, Iran.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Physiochemical characteristics and oxidative potential of ambient air particulate matter (PM₁₀) during dust and non-dust storm events: a case study in Tehran, Iran.