| 000 | 03137naaaa2200373uu 4500 | ||
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| 001 | https://directory.doabooks.org/handle/20.500.12854/70198 | ||
| 020 | _aintechopen.87031 | ||
| 024 | 7 |
_a10.5772/intechopen.87031 _cdoi |
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| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 072 | 7 |
_aTQ _2bicssc |
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| 100 | 1 |
_aKolarov, Georgy _4auth |
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| 700 | 1 |
_aGhelev, Chavdar _4auth |
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| 700 | 1 |
_aIliev, Mihail _4auth |
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| 700 | 1 |
_aPaneva, Daniela _4auth |
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| 700 | 1 |
_aGrigorov, Ivan _4auth |
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| 700 | 1 |
_aNedkov, Ivan _4auth |
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| 700 | 1 |
_aStoyanov, Dimitar _4auth |
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| 700 | 1 |
_aGroudeva, V. _4auth |
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| 700 | 1 |
_aIlieva, Ralitsa _4auth |
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| 700 | 1 |
_aCherkezova-Zheleva, Z. _4auth |
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| 245 | 1 | 0 | _aChapter Long-Distance LIDAR Mapping Schematic for Fast Monitoring of Bioaerosol Pollution over Large City Areas |
| 260 |
_bInTechOpen _c2019 |
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| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
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| 520 | _aLight 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. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/3.0/ _2cc _4https://creativecommons.org/licenses/by/3.0/ |
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| 546 | _aEnglish | ||
| 650 | 7 |
_aEnvironmental science, engineering & technology _2bicssc |
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| 653 | _aLIDAR monitoring, particulate matter, atmospheric pollution, contaminations | ||
| 773 | 1 | 0 |
_0OAPEN Library ID: ONIX_20210602_10.5772/intechopen.87031_427 _7nnaa |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://library.oapen.org/bitstream/20.500.12657/49313/1/67898.pdf _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://library.oapen.org/bitstream/20.500.12657/49313/1/67898.pdf _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/70198 _70 _zDOAB: description of the publication |
| 999 |
_c42646 _d42646 |
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