Cargando…
Identifiability and Identification of Trace Continuous Pollutant Source
Accidental pollution events often threaten people's health and lives, and a pollutant source is very necessary so that prompt remedial actions can be taken. In this paper, a trace continuous pollutant source identification method is developed to identify a sudden continuous emission pollutant s...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032702/ https://www.ncbi.nlm.nih.gov/pubmed/24892041 http://dx.doi.org/10.1155/2014/215104 |
_version_ | 1782317684145258496 |
---|---|
author | Qu, Hongquan Liu, Shouwen Pang, Liping Hu, Tao |
author_facet | Qu, Hongquan Liu, Shouwen Pang, Liping Hu, Tao |
author_sort | Qu, Hongquan |
collection | PubMed |
description | Accidental pollution events often threaten people's health and lives, and a pollutant source is very necessary so that prompt remedial actions can be taken. In this paper, a trace continuous pollutant source identification method is developed to identify a sudden continuous emission pollutant source in an enclosed space. The location probability model is set up firstly, and then the identification method is realized by searching a global optimal objective value of the location probability. In order to discuss the identifiability performance of the presented method, a conception of a synergy degree of velocity fields is presented in order to quantitatively analyze the impact of velocity field on the identification performance. Based on this conception, some simulation cases were conducted. The application conditions of this method are obtained according to the simulation studies. In order to verify the presented method, we designed an experiment and identified an unknown source appearing in the experimental space. The result showed that the method can identify a sudden trace continuous source when the studied situation satisfies the application conditions. |
format | Online Article Text |
id | pubmed-4032702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-40327022014-06-02 Identifiability and Identification of Trace Continuous Pollutant Source Qu, Hongquan Liu, Shouwen Pang, Liping Hu, Tao ScientificWorldJournal Research Article Accidental pollution events often threaten people's health and lives, and a pollutant source is very necessary so that prompt remedial actions can be taken. In this paper, a trace continuous pollutant source identification method is developed to identify a sudden continuous emission pollutant source in an enclosed space. The location probability model is set up firstly, and then the identification method is realized by searching a global optimal objective value of the location probability. In order to discuss the identifiability performance of the presented method, a conception of a synergy degree of velocity fields is presented in order to quantitatively analyze the impact of velocity field on the identification performance. Based on this conception, some simulation cases were conducted. The application conditions of this method are obtained according to the simulation studies. In order to verify the presented method, we designed an experiment and identified an unknown source appearing in the experimental space. The result showed that the method can identify a sudden trace continuous source when the studied situation satisfies the application conditions. Hindawi Publishing Corporation 2014 2014-04-27 /pmc/articles/PMC4032702/ /pubmed/24892041 http://dx.doi.org/10.1155/2014/215104 Text en Copyright © 2014 Hongquan Qu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Qu, Hongquan Liu, Shouwen Pang, Liping Hu, Tao Identifiability and Identification of Trace Continuous Pollutant Source |
title | Identifiability and Identification of Trace Continuous Pollutant Source |
title_full | Identifiability and Identification of Trace Continuous Pollutant Source |
title_fullStr | Identifiability and Identification of Trace Continuous Pollutant Source |
title_full_unstemmed | Identifiability and Identification of Trace Continuous Pollutant Source |
title_short | Identifiability and Identification of Trace Continuous Pollutant Source |
title_sort | identifiability and identification of trace continuous pollutant source |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032702/ https://www.ncbi.nlm.nih.gov/pubmed/24892041 http://dx.doi.org/10.1155/2014/215104 |
work_keys_str_mv | AT quhongquan identifiabilityandidentificationoftracecontinuouspollutantsource AT liushouwen identifiabilityandidentificationoftracecontinuouspollutantsource AT pangliping identifiabilityandidentificationoftracecontinuouspollutantsource AT hutao identifiabilityandidentificationoftracecontinuouspollutantsource |