Assessment of indoor mass and numerical concentrations of airborne particulate matter in a university fluid dynamics laboratory

Indoor Air Quality (IAQ) is related to human health and well-being since people spend most of their working and free time in interior spaces. As stated by the World Health Organization (WHO), once complying with normative Occupational Safety and Health (OS&H) limits, more elevated standards of air quality both in productive and non-industrial workplaces should be guaranteed. In this case study – framed in a wider research by the authors – the main results of the assessment of airborne particulate matter (PM10, PM4, PM2.5, PM1) in an indoor university working environment are presented. The activities have been developed in a fluid-dynamics laboratory with a wind tunnel and its premises by means of both traditional samplers and real-time optical technologies. The results confirm the accordance with OS&H requirements. Daily trends and peaks related to lab activities and cleaning emissions have been assessed. This outcome highlights once again the strength of integrated approaches between multi-parameter analysers and reference samplers to assess short-time patterns in pollutants concentrations and normative mean conditions.

Indoor Air Quality (IAQ) is related to human health and well-being since people spend most of their working and free time in interior spaces. As stated by the World Health Organization (WHO), once complying with normative Occupational Safety and Health (OS&H) limits, more elevated standards of air quality both in productive and non-industrial workplaces should be guaranteed. In this case study – framed in a wider research by the authors – the main results of the assessment of airborne particulate matter (PM10, PM4, PM2.5, PM1) in an indoor university working environment are presented. The activities have been developed in a fluid-dynamics laboratory with a wind tunnel and its premises by means of both traditional samplers and real-time optical technologies. The results confirm the accordance with OS&H requirements. Daily trends and peaks related to lab activities and cleaning emissions have been assessed. This outcome highlights once again the strength of integrated approaches between multi-parameter analysers and reference samplers to assess short-time patterns in pollutants concentrations and normative mean conditions.


ISSN 1121-9041

CiteScore:
2020: 3.8
CiteScore measures the average citations received per peer-reviewed document published in this title.
CiteScore values are based on citation counts in a range of four years (e.g. 2016-2019) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by the number of these documents in these same four years (e.g. 2016 —19).
Source Normalized Impact per Paper (SNIP):
2019: 1.307
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR)
2019: o.657
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal's impact.
Journal Metrics: CiteScore: 1.0 , Source Normalized Impact per Paper (SNIP): 0.381 SCImago Journal Rank (SJR): 0.163

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