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 source...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/215104 |
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| _version_ | 1832561005690880000 |
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| author | Hongquan Qu Shouwen Liu Liping Pang Tao Hu |
| author_facet | Hongquan Qu Shouwen Liu Liping Pang Tao Hu |
| author_sort | Hongquan Qu |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-32cb02a2432f45ff9dbf2f119da33e9e |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-32cb02a2432f45ff9dbf2f119da33e9e2025-02-03T01:26:09ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/215104215104Identifiability and Identification of Trace Continuous Pollutant SourceHongquan Qu0Shouwen Liu1Liping Pang2Tao Hu3College of Information Engineering, North China University of Technology, Beijing 100144, ChinaCollege of Information Engineering, North China University of Technology, Beijing 100144, ChinaChina School of Aviation Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, ChinaChina Aero-Polytechnology Establishment, Beijing 100028, ChinaAccidental 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.http://dx.doi.org/10.1155/2014/215104 |
| spellingShingle | Hongquan Qu Shouwen Liu Liping Pang Tao Hu Identifiability and Identification of Trace Continuous Pollutant Source The Scientific World Journal |
| 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 |
| url | http://dx.doi.org/10.1155/2014/215104 |
| work_keys_str_mv | AT hongquanqu identifiabilityandidentificationoftracecontinuouspollutantsource AT shouwenliu identifiabilityandidentificationoftracecontinuouspollutantsource AT lipingpang identifiabilityandidentificationoftracecontinuouspollutantsource AT taohu identifiabilityandidentificationoftracecontinuouspollutantsource |