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A robotic approach to mapping post-eruptive volcanic fissure conduits.

Authors :
Parcheta, Carolyn E.
Pavlov, Catherine A.
Wiltsie, Nicholas
Carpenter, Kalind C.
Nash, Jeremy
Parness, Aaron
Mitchell, Karl L.
Source :
Journal of Volcanology & Geothermal Research. Jun2016, Vol. 320, p19-28. 10p.
Publication Year :
2016

Abstract

VolcanoBot was developed to map volcanic vents and their underlying conduit systems, which are rarely preserved and generally inaccessible to human exploration. It uses a PrimeSense Carmine 1.09 sensor for mapping and carries an IR temperature sensor, analog distance sensor, and an inertial measurement unit (IMU) inside a protective shell. The first field test succeeded in collecting valuable scientific data but revealed several needed improvements, including more rugged cable connections and mechanical couplers, increased ground clearance, and higher-torque motors for uphill mobility. The second field test significantly improved on all of these aspects but it traded electrical ruggedness for reduced data collection speed. Data collected by the VolcanoBots, while intermittent, yield the first insights into the cm-scale geometry of volcanic fissures at depths of up to 25 m. VolcanoBot was deployed at the 1969 Mauna Ulu fissure system on Kīlauea volcano in Hawai'i. It collected first-of-its-kind data from inside the fissure system. We hypothesized that 1) fissure sinuosity should decrease with depth, 2) irregularity should be persistent with depth, 3) any blockages in the conduit should occur at the narrowest points, and 4) the fissure should narrow with depth until it is too narrow for VolcanoBot to pass or is plugged with solidified lava. Our field campaigns did not span enough lateral or vertical area to test sinuosity. The preliminary data indicate that 1) there were many irregularities along fissures at depth, 2) blockages occurred, but not at obviously narrow locations, and 3) the conduit width remained a consistent 0.4–0.5 m for most of the upper 10 m that we analyzed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03770273
Volume :
320
Database :
Academic Search Index
Journal :
Journal of Volcanology & Geothermal Research
Publication Type :
Academic Journal
Accession number :
116404883
Full Text :
https://doi.org/10.1016/j.jvolgeores.2016.03.006