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Characteristics of Particles Emitted from Waste Fires—A Construction Materials Case Study

This study aimed to determine the relative densities of populations of particles emitted in fire experiments of selected materials through direct measurement and parametrization of size distribution as number (NSD), volume (VSD), and mass (MSD). As objects of investigation, four typical materials us...

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Autores principales: Bihałowicz, Jan Stefan, Rogula-Kozłowska, Wioletta, Krasuski, Adam, Majder-Łopatka, Małgorzata, Walczak, Agata, Fliszkiewicz, Mateusz, Rogula-Kopiec, Patrycja, Mach, Tomasz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8746207/
https://www.ncbi.nlm.nih.gov/pubmed/35009296
http://dx.doi.org/10.3390/ma15010152
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author Bihałowicz, Jan Stefan
Rogula-Kozłowska, Wioletta
Krasuski, Adam
Majder-Łopatka, Małgorzata
Walczak, Agata
Fliszkiewicz, Mateusz
Rogula-Kopiec, Patrycja
Mach, Tomasz
author_facet Bihałowicz, Jan Stefan
Rogula-Kozłowska, Wioletta
Krasuski, Adam
Majder-Łopatka, Małgorzata
Walczak, Agata
Fliszkiewicz, Mateusz
Rogula-Kopiec, Patrycja
Mach, Tomasz
author_sort Bihałowicz, Jan Stefan
collection PubMed
description This study aimed to determine the relative densities of populations of particles emitted in fire experiments of selected materials through direct measurement and parametrization of size distribution as number (NSD), volume (VSD), and mass (MSD). As objects of investigation, four typical materials used in construction and furniture were chosen: pinewood (PINE), laminated particle board (LPB), polyurethane (PUR), and poly(methyl methacrylate) (PMMA). The NSD and VSD were measured using an electric low-pressure impactor, while MSD was measured by weighing filters from the impactor using a microbalance. The parametrization of distributions was made assuming that each distribution can be expressed as the sum of an arbitrary number of log-normal distributions. In all materials, except PINE, the distributions of the particles emitted in fire experiments were the sum of two log-normal distributions; in PINE, the distribution was accounted for by only one log-normal distribution. The parametrization facilitated the determination of volume and mass abundances, and therefore, the relative density. The VSDs of particles generated in PINE, LPB, and PUR fires have similar location parameters, with a median volume diameter of 0.2–0.3 µm, whereas that of particles generated during PMMA burning is 0.7 µm. To validate the presented method, we burned samples made of the four materials in similar proportions and compared the measured VSD with the VSD predicted based on the weighted sum of VSD of raw materials. The measured VSD shifted toward smaller diameters than the predicted ones due to thermal decomposition at higher temperatures.
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spelling pubmed-87462072022-01-11 Characteristics of Particles Emitted from Waste Fires—A Construction Materials Case Study Bihałowicz, Jan Stefan Rogula-Kozłowska, Wioletta Krasuski, Adam Majder-Łopatka, Małgorzata Walczak, Agata Fliszkiewicz, Mateusz Rogula-Kopiec, Patrycja Mach, Tomasz Materials (Basel) Article This study aimed to determine the relative densities of populations of particles emitted in fire experiments of selected materials through direct measurement and parametrization of size distribution as number (NSD), volume (VSD), and mass (MSD). As objects of investigation, four typical materials used in construction and furniture were chosen: pinewood (PINE), laminated particle board (LPB), polyurethane (PUR), and poly(methyl methacrylate) (PMMA). The NSD and VSD were measured using an electric low-pressure impactor, while MSD was measured by weighing filters from the impactor using a microbalance. The parametrization of distributions was made assuming that each distribution can be expressed as the sum of an arbitrary number of log-normal distributions. In all materials, except PINE, the distributions of the particles emitted in fire experiments were the sum of two log-normal distributions; in PINE, the distribution was accounted for by only one log-normal distribution. The parametrization facilitated the determination of volume and mass abundances, and therefore, the relative density. The VSDs of particles generated in PINE, LPB, and PUR fires have similar location parameters, with a median volume diameter of 0.2–0.3 µm, whereas that of particles generated during PMMA burning is 0.7 µm. To validate the presented method, we burned samples made of the four materials in similar proportions and compared the measured VSD with the VSD predicted based on the weighted sum of VSD of raw materials. The measured VSD shifted toward smaller diameters than the predicted ones due to thermal decomposition at higher temperatures. MDPI 2021-12-26 /pmc/articles/PMC8746207/ /pubmed/35009296 http://dx.doi.org/10.3390/ma15010152 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bihałowicz, Jan Stefan
Rogula-Kozłowska, Wioletta
Krasuski, Adam
Majder-Łopatka, Małgorzata
Walczak, Agata
Fliszkiewicz, Mateusz
Rogula-Kopiec, Patrycja
Mach, Tomasz
Characteristics of Particles Emitted from Waste Fires—A Construction Materials Case Study
title Characteristics of Particles Emitted from Waste Fires—A Construction Materials Case Study
title_full Characteristics of Particles Emitted from Waste Fires—A Construction Materials Case Study
title_fullStr Characteristics of Particles Emitted from Waste Fires—A Construction Materials Case Study
title_full_unstemmed Characteristics of Particles Emitted from Waste Fires—A Construction Materials Case Study
title_short Characteristics of Particles Emitted from Waste Fires—A Construction Materials Case Study
title_sort characteristics of particles emitted from waste fires—a construction materials case study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8746207/
https://www.ncbi.nlm.nih.gov/pubmed/35009296
http://dx.doi.org/10.3390/ma15010152
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