Paper
3 June 1994 Lidar and DOAS remote sensing for pollution monitoring in the Washington, D.C., area during August/September 1992
Cyril Flamant, Thomas D. Wilkerson, Willard E. Fraize, Coorg R. Prasad, Joseph Famiglietti
Author Affiliations +
Proceedings Volume 2112, Tunable Diode Laser Spectroscopy, Lidar, and DIAL Techniques for Environmental and Industrial Measurements; (1994) https://doi.org/10.1117/12.177307
Event: SPIE's International Symposium on Optical Sensing for Environmental Monitoring, 1993, Atlanta, GA, United States
Abstract
As a result of the development of a new air pollution measurement capability, we present observations of air pollution parameters in the Baltimore/Washington, D.C. area for the months of August and September 1992, requested by the Air and Radiation Management Administration, State of Maryland Department of the Environment (MDE). The measured parameters are (1) the height of the atmospheric boundary layer (BL) as determined by lidar (laser backscatter by aerosols) and (2) the concentration of the major gaseous pollutants (O3, SO2, and NO2) as determined by long-path differential optical absorption spectroscopy. Selected results are presented in pictorial, graphical, and tabular forms, and are compared with each other and with observations taken with other pollutant and meteorological instruments operating in the same region and time period. Complete data have been provided to the MDE for Urban Airshed Model calculations. Early results are promising on correlations between BL parameters and pollutant concentration; this relatively recent study is still underway.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cyril Flamant, Thomas D. Wilkerson, Willard E. Fraize, Coorg R. Prasad, and Joseph Famiglietti "Lidar and DOAS remote sensing for pollution monitoring in the Washington, D.C., area during August/September 1992", Proc. SPIE 2112, Tunable Diode Laser Spectroscopy, Lidar, and DIAL Techniques for Environmental and Industrial Measurements, (3 June 1994); https://doi.org/10.1117/12.177307
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KEYWORDS
LIDAR

Ozone

Data modeling

NOx

Air contamination

Backscatter

Aerosols

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