Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Quantitative remote measurements of pollutants from stationary sources using Raman lidar

Not Accessible

Your library or personal account may give you access

Abstract

The several advantages of Raman lidar for remote measurements of stationary source emissions were quantitatively evaluated using a calibration tank at a distance of 300 m at night. Measurements of ~103-ppm SO2 with a 12% accuracy were demonstrated in an observation time of 15 min using a 1.5-J ruby laser at 30 pulses/min, 6-m range resolution, interference filters, photon counting detection, and a 20-cm receiver. Measurement accuracy was checked by measuring known concentrations of SO2 in the tank, by tuning the interference filters through the SO2 Raman line, and by varying the CO2 concentration to very high levels during the SO2 measurements. Evaluation of the seriousness of induced fluorescence from plume aerosols failed due to the inability to simulate the plume aerosols.

© 1977 Optical Society of America

Full Article  |  PDF Article
More Like This
Remote Measurements of the Atmosphere Using Raman Scattering

S. H. Melfi
Appl. Opt. 11(7) 1605-1610 (1972)

Remote Measurement of Smoke Plume Transmittance Using Lidar

Charles S. Cook, George W. Bethke, and William D. Conner
Appl. Opt. 11(8) 1742-1748 (1972)

Pollution plume transport and diffusion studies using fluorescence lidar

Burton G. Schuster and Thomas G. Kyle
Appl. Opt. 19(15) 2524-2528 (1980)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (1)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.