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Insights Gained from an Approximate Analytical Solution of the Evaporation Model Used by ConsExpo Web
Evaporation of chemicals is an important source of inhalative exposure. We analyzed here the ConsExpo evaporation model, which is characterized by a set of nonlinear differential equations only solvable by numerical means. It shows qualitatively different behavior for different parameters, but the e...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000556/ https://www.ncbi.nlm.nih.gov/pubmed/33802140 http://dx.doi.org/10.3390/ijerph18062829 |
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author | Schendel, Thomas Rogasch, Eva Charlotte |
author_facet | Schendel, Thomas Rogasch, Eva Charlotte |
author_sort | Schendel, Thomas |
collection | PubMed |
description | Evaporation of chemicals is an important source of inhalative exposure. We analyzed here the ConsExpo evaporation model, which is characterized by a set of nonlinear differential equations only solvable by numerical means. It shows qualitatively different behavior for different parameters, but the exact conditions remain unclear. This article presents an approximate analytical solution of the ConsExpo evaporation model, derived by using a specific linearization of the nonlinear equations valid for small concentrations. From this solution, three different boundary cases or regimes are found: quick release, near equilibrium, and ventilation driven regime. Depending on the evaporation regime, different parameters influence peak substance air concentration: Quick release regime: total substance amount and room volume; near equilibrium regime: vapor pressure, substance concentration in the product, and molecular weight of the product matrix; ventilation driven regime: vapor pressure, substance concentration in the product, room volume, surface area, mass transfer coefficient, ventilation rate, and molecular weight of the product matrix. A graphical method is developed to display the position of a given scenario in relation to the three regimes. Thus, the approximate analytical solution allows for a given situation to prioritize research for reducing uncertainty of the most sensitive parameters and helps to identify promising risk management measures. |
format | Online Article Text |
id | pubmed-8000556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80005562021-03-28 Insights Gained from an Approximate Analytical Solution of the Evaporation Model Used by ConsExpo Web Schendel, Thomas Rogasch, Eva Charlotte Int J Environ Res Public Health Article Evaporation of chemicals is an important source of inhalative exposure. We analyzed here the ConsExpo evaporation model, which is characterized by a set of nonlinear differential equations only solvable by numerical means. It shows qualitatively different behavior for different parameters, but the exact conditions remain unclear. This article presents an approximate analytical solution of the ConsExpo evaporation model, derived by using a specific linearization of the nonlinear equations valid for small concentrations. From this solution, three different boundary cases or regimes are found: quick release, near equilibrium, and ventilation driven regime. Depending on the evaporation regime, different parameters influence peak substance air concentration: Quick release regime: total substance amount and room volume; near equilibrium regime: vapor pressure, substance concentration in the product, and molecular weight of the product matrix; ventilation driven regime: vapor pressure, substance concentration in the product, room volume, surface area, mass transfer coefficient, ventilation rate, and molecular weight of the product matrix. A graphical method is developed to display the position of a given scenario in relation to the three regimes. Thus, the approximate analytical solution allows for a given situation to prioritize research for reducing uncertainty of the most sensitive parameters and helps to identify promising risk management measures. MDPI 2021-03-10 /pmc/articles/PMC8000556/ /pubmed/33802140 http://dx.doi.org/10.3390/ijerph18062829 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Schendel, Thomas Rogasch, Eva Charlotte Insights Gained from an Approximate Analytical Solution of the Evaporation Model Used by ConsExpo Web |
title | Insights Gained from an Approximate Analytical Solution of the Evaporation Model Used by ConsExpo Web |
title_full | Insights Gained from an Approximate Analytical Solution of the Evaporation Model Used by ConsExpo Web |
title_fullStr | Insights Gained from an Approximate Analytical Solution of the Evaporation Model Used by ConsExpo Web |
title_full_unstemmed | Insights Gained from an Approximate Analytical Solution of the Evaporation Model Used by ConsExpo Web |
title_short | Insights Gained from an Approximate Analytical Solution of the Evaporation Model Used by ConsExpo Web |
title_sort | insights gained from an approximate analytical solution of the evaporation model used by consexpo web |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000556/ https://www.ncbi.nlm.nih.gov/pubmed/33802140 http://dx.doi.org/10.3390/ijerph18062829 |
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