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SARS-CoV-2 adsorption on suspended solids along a sewerage network: mathematical model formulation, sensitivity analysis, and parametric study.
- Source :
-
Environmental science and pollution research international [Environ Sci Pollut Res Int] 2022 Feb; Vol. 29 (8), pp. 11304-11319. Date of Electronic Publication: 2021 Sep 17. - Publication Year :
- 2022
-
Abstract
- Accounting for SARS-CoV-2 adsorption on solids suspended in wastewater is a necessary step towards the reliable estimation of virus shedding rate in a sewerage system, based on measurements performed at a terminal collection station, i.e., at the entrance of a wastewater treatment plant. This concept is extended herein to include several measurement stations across a city to enable the estimation of spatial distribution of virus shedding rate. This study presents a pioneer general model describing the most relevant physicochemical phenomena with a special effort to reduce the complicated algebra. This is performed both in the topology regime, introducing a discrete-continuous approach, and in the domain of independent variables, introducing a monodisperse moment method to reduce the dimensionality of the resulting population balance equations. The resulting simplified model consists of a large system of ordinary differential equations. A sensitivity analysis is performed with respect to some key parameters for a single pipe topology. Specific numerical techniques are employed for the integration of the model. Finally, a parametric case study for an indicative-yet realistic-sewerage piping system is performed to show how the model is applied to SARS-CoV-2 adsorption on wastewater solids in the presence of other competing species. This is the first model of this kind appearing in scientific literature and a first step towards setting up an inverse problem to assess the spatial distribution of virus shedding rate based on its concentration in wastewater.<br /> (© 2021. The Author(s).)
- Subjects :
- Adsorption
Humans
Models, Theoretical
Wastewater
COVID-19
SARS-CoV-2
Subjects
Details
- Language :
- English
- ISSN :
- 1614-7499
- Volume :
- 29
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Environmental science and pollution research international
- Publication Type :
- Academic Journal
- Accession number :
- 34542818
- Full Text :
- https://doi.org/10.1007/s11356-021-16528-0