Identifying Key Potential Source Areas for Ambient Methyl Mercaptan Pollution Based on Long-Term Environmental Monitoring Data in an Industrial Park
Precise source identification for ambient pollution incidents in industrial parks were often difficult due to limited measurements. Source area analysis method was one of the applicable source identification methods, which could provide potential source areas under these circumstances. However, a so...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-12-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/9/12/501 |
| _version_ | 1819230647379558400 |
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| author | Yujie Liu Qi Yu Zihan Huang Weichun Ma Yan Zhang |
| author_facet | Yujie Liu Qi Yu Zihan Huang Weichun Ma Yan Zhang |
| author_sort | Yujie Liu |
| collection | DOAJ |
| description | Precise source identification for ambient pollution incidents in industrial parks were often difficult due to limited measurements. Source area analysis method was one of the applicable source identification methods, which could provide potential source areas under these circumstances. However, a source area usually covered several sources and the method was unable to identify the real one. This article introduces a case study on the statistical source identification of methyl mercaptan based on the long-term measurements, in 2014, in an industrial park. A procedure for statistical source area analysis was established, which contains independent pollution episode extraction, source area calculation scenario definition, meteorological data selection, and source area statistical analysis. A total of 414 violation records were detected by five monitors inside the park. Three kinds of calculation scenarios were found and, finally, three key source areas were revealed. The typical scenarios of source area calculations were described in detail. The characteristics of the statistical source areas for all pollution episodes were examined. Finally, the applicability of the method, as well as the source of uncertainties, was discussed. This study shows that more concentrated source areas can be identified through the statistical source area method if several excessive emission sources exist in an industrial park. |
| first_indexed | 2024-12-23T11:32:24Z |
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| id | doaj.art-4608401939c74aed8acb4b2767d923d3 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-12-23T11:32:24Z |
| publishDate | 2018-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-4608401939c74aed8acb4b2767d923d32022-12-21T17:48:46ZengMDPI AGAtmosphere2073-44332018-12-0191250110.3390/atmos9120501atmos9120501Identifying Key Potential Source Areas for Ambient Methyl Mercaptan Pollution Based on Long-Term Environmental Monitoring Data in an Industrial ParkYujie Liu0Qi Yu1Zihan Huang2Weichun Ma3Yan Zhang4Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, ChinaDepartment of Environmental Science and Engineering, Fudan University, Shanghai 200438, ChinaDepartment of Environmental Science and Engineering, Fudan University, Shanghai 200438, ChinaDepartment of Environmental Science and Engineering, Fudan University, Shanghai 200438, ChinaDepartment of Environmental Science and Engineering, Fudan University, Shanghai 200438, ChinaPrecise source identification for ambient pollution incidents in industrial parks were often difficult due to limited measurements. Source area analysis method was one of the applicable source identification methods, which could provide potential source areas under these circumstances. However, a source area usually covered several sources and the method was unable to identify the real one. This article introduces a case study on the statistical source identification of methyl mercaptan based on the long-term measurements, in 2014, in an industrial park. A procedure for statistical source area analysis was established, which contains independent pollution episode extraction, source area calculation scenario definition, meteorological data selection, and source area statistical analysis. A total of 414 violation records were detected by five monitors inside the park. Three kinds of calculation scenarios were found and, finally, three key source areas were revealed. The typical scenarios of source area calculations were described in detail. The characteristics of the statistical source areas for all pollution episodes were examined. Finally, the applicability of the method, as well as the source of uncertainties, was discussed. This study shows that more concentrated source areas can be identified through the statistical source area method if several excessive emission sources exist in an industrial park.https://www.mdpi.com/2073-4433/9/12/501source identificationambient pollutionindustrial parkslimited monitoring stations |
| spellingShingle | Yujie Liu Qi Yu Zihan Huang Weichun Ma Yan Zhang Identifying Key Potential Source Areas for Ambient Methyl Mercaptan Pollution Based on Long-Term Environmental Monitoring Data in an Industrial Park Atmosphere source identification ambient pollution industrial parks limited monitoring stations |
| title | Identifying Key Potential Source Areas for Ambient Methyl Mercaptan Pollution Based on Long-Term Environmental Monitoring Data in an Industrial Park |
| title_full | Identifying Key Potential Source Areas for Ambient Methyl Mercaptan Pollution Based on Long-Term Environmental Monitoring Data in an Industrial Park |
| title_fullStr | Identifying Key Potential Source Areas for Ambient Methyl Mercaptan Pollution Based on Long-Term Environmental Monitoring Data in an Industrial Park |
| title_full_unstemmed | Identifying Key Potential Source Areas for Ambient Methyl Mercaptan Pollution Based on Long-Term Environmental Monitoring Data in an Industrial Park |
| title_short | Identifying Key Potential Source Areas for Ambient Methyl Mercaptan Pollution Based on Long-Term Environmental Monitoring Data in an Industrial Park |
| title_sort | identifying key potential source areas for ambient methyl mercaptan pollution based on long term environmental monitoring data in an industrial park |
| topic | source identification ambient pollution industrial parks limited monitoring stations |
| url | https://www.mdpi.com/2073-4433/9/12/501 |
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