Literature DB >> 25749465

Source apportionment of airborne nanoparticles in a Middle Eastern city using positive matrix factorization.

Abdullah N Al-Dabbous1, Prashant Kumar.   

Abstract

Airborne nanoparticles have been studied worldwide, but little is known about their sources in the Middle East region, where hot, arid and dusty climatic conditions generally prevail. For the first time in Kuwait, we carried out size-resolved measurements of particle number distributions (PNDs) and concentrations (PNCs) in the 5-1000 nm size range. Measurements were made continuously for 31 days during the summer months of May and June 2013 using a fast-response differential mobility spectrometer (Cambustion DMS500) at a sampling rate of 10 Hz. Sources and their contributions were identified using the positive matrix factorization (PMF) approach that was applied to the PND data. Simultaneous measurements of gaseous pollutants (i.e., O3, NO, NOx, SO2 and CO), PM10, wind speed and direction were also carried out to aid the interpretation of the PMF results through the conditional probability function plots and Pearson product-moment correlations. Six major sources of PNCs were identified, contributing ∼46% (fresh traffic emissions), 27% (aged traffic emissions), 9% (industrial emissions), 9% (regional background), 6% (miscellaneous sources) and 3% (Arabian dust transport) of the total PNCs. The sources of nanoparticles and their PND profiles identified could serve as reference data to design more detailed field studies in the future and treat these sources in dispersion modelling and health impact assessment studies.

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Year:  2015        PMID: 25749465     DOI: 10.1039/c5em00027k

Source DB:  PubMed          Journal:  Environ Sci Process Impacts        ISSN: 2050-7887            Impact factor:   4.238


  3 in total

Review 1.  A review on recent progress in observations, sources, classification and regulations of PM2.5 in Asian environments.

Authors:  Sneha Gautam; Ankit Yadav; Chuen-Jinn Tsai; Prashant Kumar
Journal:  Environ Sci Pollut Res Int       Date:  2016-08-31       Impact factor: 4.223

2.  Overview of Sources and Characteristics of Nanoparticles in Urban Traffic-Influenced Areas.

Authors:  Topi Rönkkö; Hilkka Timonen
Journal:  J Alzheimers Dis       Date:  2019       Impact factor: 4.472

3.  Changes in source contributions to particle number concentrations after the COVID-19 outbreak: Insights from a dispersion normalized PMF.

Authors:  Qili Dai; Jing Ding; Congbo Song; Baoshuang Liu; Xiaohui Bi; Jianhui Wu; Yufen Zhang; Yinchang Feng; Philip K Hopke
Journal:  Sci Total Environ       Date:  2020-11-06       Impact factor: 7.963

  3 in total

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