Chapter Long-Distance LIDAR Mapping Schematic for Fast Monitoring of Bioaerosol Pollution over Large City Areas
Light detection and ranging (LIDAR) atmospheric sensing is a major tool for remote monitoring of aerosol pollution and its propagation in the atmosphere. Combining LIDAR sensing with ground-based aerosol monitoring can form the basis of integrated air-quality characterization. When present, biologic...
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| 主要な著者: | , , , , , , , , , |
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| フォーマット: | Online |
| 言語: | 英語 |
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InTechOpen
2021
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| 主題: | |
| オンライン･アクセス: | ONIX_20210602_10.5772/intechopen.87031_427 |
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| _version_ | 1869516848465182720 |
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| author | Kolarov, Georgy Ghelev, Chavdar Iliev, Mihail Paneva, Daniela Grigorov, Ivan Nedkov, Ivan Stoyanov, Dimitar Groudeva, V. Ilieva, Ralitsa Cherkezova-Zheleva, Z. |
| author_browse | Cherkezova-Zheleva, Z. Ghelev, Chavdar Grigorov, Ivan Groudeva, V. Iliev, Mihail Ilieva, Ralitsa Kolarov, Georgy Nedkov, Ivan Paneva, Daniela Stoyanov, Dimitar |
| author_facet | Kolarov, Georgy Ghelev, Chavdar Iliev, Mihail Paneva, Daniela Grigorov, Ivan Nedkov, Ivan Stoyanov, Dimitar Groudeva, V. Ilieva, Ralitsa Cherkezova-Zheleva, Z. |
| author_sort | Kolarov, Georgy |
| collection | Directory of Open Access Books |
| description | Light detection and ranging (LIDAR) atmospheric sensing is a major tool for remote monitoring of aerosol pollution and its propagation in the atmosphere. Combining LIDAR sensing with ground-based aerosol monitoring can form the basis of integrated air-quality characterization. When present, biological atmospheric contamination is transported by aerosol particles of different size known as bioaerosol, whose monitoring is now among the basic areas of atmospheric research, especially in densely-populated large urban regions, where many bioaerosol-emitting sources exist. Thus, promptly identifying the bioaerosol sources, including their geographical coordinates, intensities, space-time distributions, etc., becomes a major task of a city monitoring system. This chapter argues in favor of integrating a LIDAR mapping schematic with in situ sampling and characterization of the bioaerosol in the urban area. The measurements, data processing, and decision-making aimed at preventing further atmospheric contamination should be performed in a near-real-time mode, which imposes certain demands on the typical LIDAR schematics, including long-range sensing as a critical parameter, especially over large areas (10 – 100 km2). In this chapter, we describe experiments using a LIDAR schematic allowing near-real-time long-distance measurements of urban bioaerosol combined with its ground-based sampling and physicochemical and biological studies. |
| format | Online |
| id | doab-20.500.12854ir-70198 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | InTechOpen |
| publisherStr | InTechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-701982025-08-13T14:11:35Z Chapter Long-Distance LIDAR Mapping Schematic for Fast Monitoring of Bioaerosol Pollution over Large City Areas Kolarov, Georgy Ghelev, Chavdar Iliev, Mihail Paneva, Daniela Grigorov, Ivan Nedkov, Ivan Stoyanov, Dimitar Groudeva, V. Ilieva, Ralitsa Cherkezova-Zheleva, Z. LIDAR monitoring, particulate matter, atmospheric pollution, contaminations thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology Light detection and ranging (LIDAR) atmospheric sensing is a major tool for remote monitoring of aerosol pollution and its propagation in the atmosphere. Combining LIDAR sensing with ground-based aerosol monitoring can form the basis of integrated air-quality characterization. When present, biological atmospheric contamination is transported by aerosol particles of different size known as bioaerosol, whose monitoring is now among the basic areas of atmospheric research, especially in densely-populated large urban regions, where many bioaerosol-emitting sources exist. Thus, promptly identifying the bioaerosol sources, including their geographical coordinates, intensities, space-time distributions, etc., becomes a major task of a city monitoring system. This chapter argues in favor of integrating a LIDAR mapping schematic with in situ sampling and characterization of the bioaerosol in the urban area. The measurements, data processing, and decision-making aimed at preventing further atmospheric contamination should be performed in a near-real-time mode, which imposes certain demands on the typical LIDAR schematics, including long-range sensing as a critical parameter, especially over large areas (10 – 100 km2). In this chapter, we describe experiments using a LIDAR schematic allowing near-real-time long-distance measurements of urban bioaerosol combined with its ground-based sampling and physicochemical and biological studies. 2021-06-02T10:11:59Z 2019 chapter ONIX_20210602_10.5772/intechopen.87031_427 https://library.oapen.org/handle/20.500.12657/49313 https://directory.doabooks.org/handle/20.500.12854/70198 eng open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/49313/1/67898.pdf https://library.oapen.org/bitstream/20.500.12657/49313/1/67898.pdf https://library.oapen.org/bitstream/20.500.12657/49313/1/67898.pdf InTechOpen 10.5772/intechopen.87031 10.5772/intechopen.87031 035ecc65-6737-43cf-a13a-6bdf67ce01f4 open access |
| spellingShingle | LIDAR monitoring, particulate matter, atmospheric pollution, contaminations thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology Kolarov, Georgy Ghelev, Chavdar Iliev, Mihail Paneva, Daniela Grigorov, Ivan Nedkov, Ivan Stoyanov, Dimitar Groudeva, V. Ilieva, Ralitsa Cherkezova-Zheleva, Z. Chapter Long-Distance LIDAR Mapping Schematic for Fast Monitoring of Bioaerosol Pollution over Large City Areas |
| title | Chapter Long-Distance LIDAR Mapping Schematic for Fast Monitoring of Bioaerosol Pollution over Large City Areas |
| title_full | Chapter Long-Distance LIDAR Mapping Schematic for Fast Monitoring of Bioaerosol Pollution over Large City Areas |
| title_fullStr | Chapter Long-Distance LIDAR Mapping Schematic for Fast Monitoring of Bioaerosol Pollution over Large City Areas |
| title_full_unstemmed | Chapter Long-Distance LIDAR Mapping Schematic for Fast Monitoring of Bioaerosol Pollution over Large City Areas |
| title_short | Chapter Long-Distance LIDAR Mapping Schematic for Fast Monitoring of Bioaerosol Pollution over Large City Areas |
| title_sort | chapter long distance lidar mapping schematic for fast monitoring of bioaerosol pollution over large city areas |
| topic | LIDAR monitoring, particulate matter, atmospheric pollution, contaminations thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology |
| topic_facet | LIDAR monitoring, particulate matter, atmospheric pollution, contaminations thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology |
| url | ONIX_20210602_10.5772/intechopen.87031_427 |
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