Issue |
EPJ Web Conf.
Volume 176, 2018
The 28th International Laser Radar Conference (ILRC 28)
|
|
---|---|---|
Article Number | 04013 | |
Number of page(s) | 4 | |
Section | Lidar applications in Weather/Meteorology, air quality and climate-global change | |
DOI | https://doi.org/10.1051/epjconf/201817604013 | |
Published online | 13 April 2018 |
https://doi.org/10.1051/epjconf/201817604013
Monitoring and Quantifying Particles Emissions around Industrial Sites with Scanning Doppler Lidar
1
Leosphere: Lidar Environmental Observations, Orsay, France
2
ECOTECH, Australia
Published online: 13 April 2018
Scanning Coherent Doppler Lidars have been used over the last decade for measuring wind for applications in wind energy [1], meteorology [2] and aviation [3]. They allow for accurate measurements of wind speeds up to a distance of 10 km based on the Doppler shift effect of aerosols. The signal reflectivity (CNR or Carrier-to-Noise Ratio) profiles can also be retrieved from the strength of the Lidar signal. In this study, we will present the developments of algorithm for retrieving aerosol optical properties like the relative attenuated backscatter coefficient and the mass concentration of particles. The use of these algorithms during one operational trial in Point Samson, Western Australia to monitor fugitive emissions over a mine will be presented. This project has been initiated by the Australian Department of Environment Regulations to better determine the impact of the Port on the neighboring town. During the trial in Summer, the strong impact of turbulence refractive index on Lidar performances has been observed. Multiple methodologies have been applied to reduce this impact with more or less success. At the end, a dedicated setup and configuration have been established that allow to properly observe the plumes of the mine with the scanning Lidar. The Lidar data has also been coupled to beta attenuation in-situ sensors for retrieving mass concentration maps. A few case of dispersion of plumes will be presented showing the necessity to combine both the wind and aerosol data.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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