Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Schendel, Thomas, Rogasch, Eva Charlotte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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
_version_ 1783671025221763072
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
work_keys_str_mv AT schendelthomas insightsgainedfromanapproximateanalyticalsolutionoftheevaporationmodelusedbyconsexpoweb
AT rogaschevacharlotte insightsgainedfromanapproximateanalyticalsolutionoftheevaporationmodelusedbyconsexpoweb