Computer vision for improved estimates of SO₂ emission rates and plume dynamics

ABSTRACT

Imaging cameras operating at ultraviolet (UV) and infrared (IR) wavelengths can measure sulphur dioxide (SO₂) gas path concentrations or slant column densities. These measurements are useful in a variety of applications including the monitoring of emissions from volcanoes and also emissions from stacks at industrial plants and on ships. The usefulness of these data is increased if the emission rates (or fluxes) of the gases can also be estimated. Here we present an optical flow algorithm that allows rapid and accurate estimates of emission rates using both UV and IR camera imagery sampling at around 1 Hz or higher. Examples are provided from measurements made at Turrialba volcano, Costa Rica, and also at a ship in Hong Kong harbour. Other aspects of the properties of the fluid flow are also introduced, notably the divergence and the vorticity of the two-dimensional wind field. We demonstrate how the divergence can be used in a new method to calculate the emission rate and show how rotational effects observed in volcanic plumes and the resulting entrainment of ambient air affects plume rise and can be observed using vorticity. This is an important aspect for understanding the emplacement of gases and particles into the atmosphere that are subsequently transported by atmospheric winds, sometimes causing pollution episodes at long distances from the source.

Acknowledgments

The authors would like to thank the participants and organisers of the PASI Workshop, Costa Rica 2011, who assisted us with logistics and data collection. Billy Cheung of the Environmental Protection Department of the Hong Kong Government provided support for the measurements in Hong Kong harbour. Kerstin Stebel and the Norwegian Institute for Air Research (NILU) are thanked for allowing us use of the UV and IR cameras. Cirilo Bernardo contributed to the design and development of the IR and UV cameras. The Icelandic Meteorological Office and members of the FUTUREVOLC team are thanked for support in collecting the Holuhraun data. Finally, we thank both reviewers for their insightful comments which significantly improved the manuscript.

Disclosure statement

No potential conflict of interest was reported by the authors.

Supplementary material

Supplemental data for this article can be accessed here.

Additional information

Funding

This work was supported by EU Seventh Program for research, technological development and demonstration [Grant No. 308377 (FUTUREVOLC project)] and NASA [Grant No. NNX08AF80G].