Paper
20 October 2008 Midterm pollution monitoring with a backscattering lidar, sunphotometer, and air quality indexing stations
Fábio J. S. Lopes, Glauber L. Mariano, Eduardo Landulfo, Ani S. Torres, Wellington C. De Jesus, Walter M. Nakaema, Eliane G. Larroza, Sandro T. Uehara, Patrícia Sawamura, Maria P. P. M. Jorge
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Abstract
During the Dry Season (July-September) of 2007 aerosol profiling campaign was carried with an aerosol backscattering LIDAR system in Sao Paulo, Brazil. The main goal of this campaign was to observe the aerosol load in the lower troposphere (up to 10 km) and its daily behavior in order to check for air dispersion conditions, planetary boundary and mixed layer daily evolution, mid and long range transport. For the latter we used air mass trajectory analysis and satellite data. With the LIDAR analysis we can provide the aerosol optical properties in the visible range (532 nm) and quantities such as aerosol backscattering and extinction coefficients. Altogether we could measure during 60 days, since when there was the presence of precipitation no measurement was conducted. Collocated with the LIDAR was a AERONET Sunphotometer which help in characterizing the aerosol optical properties. Our data was correlated with the Environmental Air using Optical Sensors in the Remote Air Quality Assessment and cross-correlations were made with Aerosol Optical Thickness, Planetary Boundary Layer evolution and Air Quality Index.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fábio J. S. Lopes, Glauber L. Mariano, Eduardo Landulfo, Ani S. Torres, Wellington C. De Jesus, Walter M. Nakaema, Eliane G. Larroza, Sandro T. Uehara, Patrícia Sawamura, and Maria P. P. M. Jorge "Midterm pollution monitoring with a backscattering lidar, sunphotometer, and air quality indexing stations", Proc. SPIE 7111, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing IV, 71110P (20 October 2008); https://doi.org/10.1117/12.800213
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KEYWORDS
LIDAR

Aerosols

Backscatter

Lawrencium

Atmospheric particles

Pollution

Environmental sensing

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