| 000 | 03057naaaa2200325uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/70523 | ||
| 020 | _a65274 | ||
| 024 | 7 |
_a10.5772/65274 _cdoi |
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| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 072 | 7 |
_aTQD _2bicssc |
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| 100 | 1 |
_aDreischuh, Tanja _4auth |
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| 700 | 1 |
_aGrigorov, Ivan _4auth |
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| 700 | 1 |
_aPeshev, Zahary _4auth |
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| 700 | 1 |
_aDeleva, Atanaska _4auth |
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| 700 | 1 |
_aKolarov, Georgi _4auth |
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| 700 | 1 |
_aStoyanov, Dimitar _4auth |
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| 245 | 1 | 0 | _aChapter Lidar Mapping of Near-Surface Aerosol Fields |
| 260 |
_bInTechOpen _c2016 |
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| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
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| 520 | _aNear-surface atmospheric measurements over urban or industrial areas aimed at assisting the air-quality monitoring attain increasing societal significance due to the strong and direct impact of aerosol pollutions in the low troposphere on the human health. In this chapter, we present experimental results on lidar mapping of aerosol fields over the city of Sofia (Bulgaria), its suburbs and adjacent towns and villages, obtained during an extensive 7-month experimental campaign in 2015. The measurements are conducted by scanning observation zones in horizontal and vertical directions using lidar systems developed at the Institute of Electronics, Bulgarian Academy of Sciences. Based on the aerosol backscattering profiles retrieved at different azimuth or elevation angles, two-dimensional color-coded sector maps of the near-surface aerosol density are obtained, overlaid on the topological map of the Sofia region. The analysis of the lidar maps shows good correlation between the aerosol density distribution and the locations of important sources of aerosol pollutions in the zones of observation, such as city streets with intense traffic, industrial facilities, densely populated residential districts, etc. The results reported demonstrate that aerosol lidar mapping could be regarded as an effective approach for accurate and reliable determination of the density, spatial distribution, and temporal dynamics of close-to-ground aerosols, covering broad urban areas. Possibilities of incorporating synergistically lidar mapping technologies into municipal air-quality monitoring systems are also discussed. | ||
| 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 monitoring _2bicssc |
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| 653 | _aaerosol, lidar, scanning lidar, near-surface aerosol lidar mapping, air-quality monitoring | ||
| 773 | 1 | 0 |
_0OAPEN Library ID: ONIX_20210602_10.5772/65274_258 _7nnaa |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://library.oapen.org/bitstream/20.500.12657/49144/1/52442.pdf _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://library.oapen.org/bitstream/20.500.12657/49144/1/52442.pdf _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/70523 _70 _zDOAB: description of the publication |
| 999 |
_c43219 _d43219 |
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