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Image of Chapter The Hypoxia-Reoxygenation Injury Model
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Chapter The Hypoxia-Reoxygenation Injury Model

Gero, Domokos - Personal Name;

Near-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.
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Detail Information
Series Title
-
Call Number
-
Publisher
: InTechOpen., 2017
Collation
-
Language
English
ISBN/ISSN
-
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
aerosol
lidar
scanning lidar
near-surface aerosol lidar mapping
air-quality monitoring
Specific Detail Info
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Statement of Responsibility
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Other Information
Cataloger
Candra
Source
-
Validator
-
Digital Object Identifier (DOI)
10.5772/65339
Journal Volume
-
Journal Issue
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Subtitle
-
Parallel Title
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No other version available

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