Mathematical modelling of chemical agent removal by reaction with an immiscible cleanser
When a hazardous chemical agent has soaked into a porous medium, such as concrete, it can be difficult to neutralise. One removal method is chemical decontamination, where a cleanser is applied to react with and neutralise the agent, forming less harmful reaction products. There are often several cl...
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Society for Industrial and Applied Mathematics
2017
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| Online Access: | https://eprints.nottingham.ac.uk/45351/ |
| _version_ | 1848797114008600576 |
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| author | Dalwadi, Mohit P. O'Kiely, D. Thomson, S.J. Khaleque, T.S. Hall, C.L. |
| author_facet | Dalwadi, Mohit P. O'Kiely, D. Thomson, S.J. Khaleque, T.S. Hall, C.L. |
| author_sort | Dalwadi, Mohit P. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | When a hazardous chemical agent has soaked into a porous medium, such as concrete, it can be difficult to neutralise. One removal method is chemical decontamination, where a cleanser is applied to react with and neutralise the agent, forming less harmful reaction products. There are often several cleansers that could be used to neutralise the same agent, so it is important to identify the cleanser features associated with fast and effective decontamination. As many cleansers are aqueous solutions while many agents are immiscible with water, the decontamination reaction often takes place at the interface between two phases. In this paper, we develop and analyse a mathematical model of a decontamination reaction between a neat agent and an immiscible cleanser solution. We assume that the reaction product is soluble in both the cleanser phase and the agent phase. At the moving boundary between the two phases, we obtain coupling conditions from mass conservation arguments and the oil–water partition coefficient of the product. We analyse our model using both asymptotic and numerical methods, and investigate how different features of a cleanser affect the time taken to remove the agent. Our results reveal the existence of two regimes characterised by different rate-limiting transport processes, and we identify the key parameters that control the removal time in each regime. In particular, we find that the oil–water partition coefficient of the reaction product is significantly more important in determining the removal time than the effective reaction rate. |
| first_indexed | 2025-11-14T19:58:43Z |
| format | Article |
| id | nottingham-45351 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:58:43Z |
| publishDate | 2017 |
| publisher | Society for Industrial and Applied Mathematics |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-453512020-05-04T19:17:43Z https://eprints.nottingham.ac.uk/45351/ Mathematical modelling of chemical agent removal by reaction with an immiscible cleanser Dalwadi, Mohit P. O'Kiely, D. Thomson, S.J. Khaleque, T.S. Hall, C.L. When a hazardous chemical agent has soaked into a porous medium, such as concrete, it can be difficult to neutralise. One removal method is chemical decontamination, where a cleanser is applied to react with and neutralise the agent, forming less harmful reaction products. There are often several cleansers that could be used to neutralise the same agent, so it is important to identify the cleanser features associated with fast and effective decontamination. As many cleansers are aqueous solutions while many agents are immiscible with water, the decontamination reaction often takes place at the interface between two phases. In this paper, we develop and analyse a mathematical model of a decontamination reaction between a neat agent and an immiscible cleanser solution. We assume that the reaction product is soluble in both the cleanser phase and the agent phase. At the moving boundary between the two phases, we obtain coupling conditions from mass conservation arguments and the oil–water partition coefficient of the product. We analyse our model using both asymptotic and numerical methods, and investigate how different features of a cleanser affect the time taken to remove the agent. Our results reveal the existence of two regimes characterised by different rate-limiting transport processes, and we identify the key parameters that control the removal time in each regime. In particular, we find that the oil–water partition coefficient of the reaction product is significantly more important in determining the removal time than the effective reaction rate. Society for Industrial and Applied Mathematics 2017-11-16 Article PeerReviewed Dalwadi, Mohit P., O'Kiely, D., Thomson, S.J., Khaleque, T.S. and Hall, C.L. (2017) Mathematical modelling of chemical agent removal by reaction with an immiscible cleanser. SIAM Journal on Applied Mathematics, 77 (6). pp. 1937-1961. ISSN 1095-712X Decontamination Surface reaction Moving boundary problem Stefan problem Asymptotic analysis http://epubs.siam.org/doi/10.1137/16M1101647 doi:10.1137/16M1101647 doi:10.1137/16M1101647 |
| spellingShingle | Decontamination Surface reaction Moving boundary problem Stefan problem Asymptotic analysis Dalwadi, Mohit P. O'Kiely, D. Thomson, S.J. Khaleque, T.S. Hall, C.L. Mathematical modelling of chemical agent removal by reaction with an immiscible cleanser |
| title | Mathematical modelling of chemical agent removal by reaction with an immiscible cleanser |
| title_full | Mathematical modelling of chemical agent removal by reaction with an immiscible cleanser |
| title_fullStr | Mathematical modelling of chemical agent removal by reaction with an immiscible cleanser |
| title_full_unstemmed | Mathematical modelling of chemical agent removal by reaction with an immiscible cleanser |
| title_short | Mathematical modelling of chemical agent removal by reaction with an immiscible cleanser |
| title_sort | mathematical modelling of chemical agent removal by reaction with an immiscible cleanser |
| topic | Decontamination Surface reaction Moving boundary problem Stefan problem Asymptotic analysis |
| url | https://eprints.nottingham.ac.uk/45351/ https://eprints.nottingham.ac.uk/45351/ https://eprints.nottingham.ac.uk/45351/ |