Gravitational search for cryptovolcanism on the Moon: Evidence for large volumes of early igneous activity
نویسندگان
چکیده
We define lunar cryptovolcanism as volcanic deposits on the Moon hidden by overlying material. Notably, cryptovolcanism includes both cryptomaria (subsurface extrusive basaltic deposits that are obscured by overlying higher albedo basin and crater ejecta) and earlier candidate extrusives, such as the Mg-suite. Knowledge of the volume and extent of cryptovolcanism is necessary for a comprehensive understanding of lunar volcanic history, particularly in early (pre 3.8 Ga) epochs when abundant impact craters and basins obscured surface volcanic deposits by lateral emplacement of ejecta. We use Gravity Recovery and Interior Laboratory (GRAIL) gravity and Lunar Orbiter Laser Altimeter (LOLA) topography data to construct maps of the Moon’s positive Bouguer and isostatic gravity anomalies, and explore the possibility that these features are due to mass excesses associated with cryptovolcanism by cross-referencing the regions with geologic data such as dark halo craters. We model the potential cryptovolcanic deposits as buried high-density rectangular prisms at depth in the upper crust, and find a volume of candidate buried cryptovolcanism between 0.4 ×10 6 km 3 and 4.8 ×10 6 km 3 , depending on assumptions about density and crustal compensation state. These candidate deposits correspond to a surface area of between 0.50 ×10 6 km 2 and 1.14 ×10 6 km 2 , which would increase the amount of the lunar surface containing volcanic deposits from 16.6% to between 17.9% and 19.5%. The inferred volume of cryptovolcanism is comparable to the smallest estimates of the volume of visible mare basalts and up to ∼50% of the largest estimates; the high-resolution GRAIL and LOLA observations thus would collectively indicate that early (pre 3.8 Ga) lunar volcanism is an important element of lunar thermal evolution. Alternatively, the buried material could represent the presence of intrusive Mg-suite sills or plutons. © 2016 Elsevier Inc. All rights reserved.
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