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A Study on Indoor Particulate Matter Variation in Time Based on Count and Sizes and in Relation to Meteorological Conditions

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  • Marius Bodor

    (Faculty of Engineering, Department of Materials and Environmental Engineering, “Dunarea de Jos” University of Galati, 47 Domneasca Street, 800008 Galati, Romania)

Abstract

An important aspect of air pollution analysis consists of the varied presence of particulate matter in analyzed air samples. In this respect, the present work aims to present a case study regarding the evolution in time of quantified particulate matter of different sizes. This study is based on data acquisitioned in an indoor location, already used in a former particulate matter-related article; thus, it can be considered as a continuation of that study, with the general aim to demonstrate the necessity to expand the existing network for pollution monitoring. Besides particle matter quantification, a correlation of the obtained results is also presented against meteorological data acquisitioned by the National Air Quality Monitoring Network. The transformation of quantified PM data in mass per volume and a comparison with other results are also addressed.

Suggested Citation

  • Marius Bodor, 2021. "A Study on Indoor Particulate Matter Variation in Time Based on Count and Sizes and in Relation to Meteorological Conditions," Sustainability, MDPI, vol. 13(15), pages 1-9, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8263-:d:600419
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    1. Peter A. Alpert & Jing Dou & Pablo Corral Arroyo & Frederic Schneider & Jacinta Xto & Beiping Luo & Thomas Peter & Thomas Huthwelker & Camelia N. Borca & Katja D. Henzler & Thomas Schaefer & Hartmut H, 2021. "Photolytic radical persistence due to anoxia in viscous aerosol particles," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    2. J. Lelieveld & J. S. Evans & M. Fnais & D. Giannadaki & A. Pozzer, 2015. "The contribution of outdoor air pollution sources to premature mortality on a global scale," Nature, Nature, vol. 525(7569), pages 367-371, September.
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    Cited by:

    1. Jewan Ryu & Heekyung Park, 2022. "Band-Sensitive Calibration of Low-Cost PM2.5 Sensors by LSTM Model with Dynamically Weighted Loss Function," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
    2. Marius Bodor & Alina Ceoromila & Vasile Bașliu, 2022. "Morphological and Chemical Characterization of Particulate Matter from an Indoor Measuring Campaign," Sustainability, MDPI, vol. 14(18), pages 1-10, September.
    3. Muzeyyen Anil Senyel Kurkcuoglu & Beyda Nur Zengin, 2021. "Spatio-Temporal Modelling of the Change of Residential-Induced PM10 Pollution through Substitution of Coal with Natural Gas in Domestic Heating," Sustainability, MDPI, vol. 13(19), pages 1-17, September.

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