Literature DB >> 22766004

Relevance of aerosol size spectrum analysis as support to qualitative source apportionment studies.

M Manigrasso1, A Febo, F Guglielmi, V Ciambottini, P Avino.   

Abstract

This work presents a diagnostic methodology in support to source apportionment studies to identify remote and local pollution sources. It is based on the temporal analysis of both PM size distributions and PM size fraction correlation along with natural radioactivity measurements as index of Planetary Boundary Layer dynamic. A correlation drop is indicative of changing aerosol sources. When this observation is coupled with decreasing level of natural radioactivity and increasing aerosol concentration, be it coarse or fine, it is indicative of the inflow of remote polluted air masses. The methodology defines in which size range operates the contribution of remote pollution sources. It was applied to two PM10 pollution episodes: the first involved the advection of coarse PM, the second entailed the inflow of two air masses, one transporting coarse dust and the other fine PM. Dust models and backward trajectories analysis confirmed such results, indicating the air mass provenience.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22766004     DOI: 10.1016/j.envpol.2012.06.002

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  3 in total

1.  Dynamic of submicrometer particles in urban environment.

Authors:  Pasquale Avino; Maurizio Manigrasso
Journal:  Environ Sci Pollut Res Int       Date:  2016-05-04       Impact factor: 4.223

2.  Radon natural radioactivity measurements for evaluation of primary pollutants.

Authors:  Fenjuan Wang; Zhenyi Zhang; Maria Pia Ancora; Xiaodong Deng; Hua Zhang
Journal:  ScientificWorldJournal       Date:  2013-07-11

3.  Deep investigation on inorganic fraction of atmospheric PM in Mediterranean area by neutron and photon activation analysis.

Authors:  Pasquale Avino; Geraldo Capannesi; Maurizio Manigrasso; Alberto Rosada; Mario Vincenzo Russo
Journal:  Chem Cent J       Date:  2013-11-06       Impact factor: 4.215

  3 in total

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