SUBMARINE VOLCANO-HYDROTHERMAL SYSTEMS AND THEIR IMPACTS ON THE OVERLYING OCEAN: QUANTIFICATION OF ERUPTING MID-OCEAN RIDGE VOLCANOES - A GENERATIONAL GOAL
Abstract:
The capacity to interactively & quantitatively define all aspects of an erupting MOR volcano, & its impacts on ambient overlying marine ecosystems, is within our grasp technologically by using AI-adaptive autonomy onboard mobile instrument-laden subsea platforms. Axial Seamount, a MOR volcano on the Juan de Fuca Ridge, has erupted 3 times in 20 years and is likely to erupt again soon (Chadwick, et al., 2018). Axial is instrumented with an array of sensors linked to the Internet by electro-optical cables via NSF's OOI-Regional Cabled Array system. The OOI-RCA provides interactive connectivity, abundant electrical power, & unprecedented bandwidth to many tens of seafloor and water-column sensor packages located near, on, & within the Axial system. By employing a well-configured, highly adaptive Autonomous Undersea Vehicle (AUV) docked near-by, the power & bandwidth can empower sustained, in situ water-column & seafloor operations before, during, and after the next eruptions. The ocean community would receive real-time access to all data collected by the AUV & the cabled sensor arrays, during the AUV's multiple, continually adaptive missions.
Similar, evermore powerful autonomous underwater systems will be deployed to off-planet oceans within one or two generations. AI-driven autonomy, sensor integration/potential failure modes, & communication/navigation styles can be thoroughly vetted in a real ocean, on an active volcanic system while surrounded by advanced real-time surveillance systems on the Cabled Array.