Pyroclastic surges are dilute flows of gas and rock fragments, typically generated by the interaction of magma and water. Due to their hazardous nature, very little is known about sediment transport during these eruptions. However, the cross-stratified deposits that they leave behind provide an important record of flow conditions, if properly interpreted. In the absence of geologic context (and volcanic indicators such as bombs and lapilli), it may be difficult to distinguish bedforms in pyroclastic surge deposits from those in eolian or fluvial deposits. There has been some debate about the identification of pyroclastic surge deposits on Mars, suggesting a need to establish better criteria for recognizing these deposits in remote sensing applications. The goals of this study are to use physical characteristics to better understand bedform kinematics and gain insight into the flow dynamics of pyroclastic surges, and to establish criteria to distinguish pyroclastic surges from other depositional environments on Mars.
Two examples of pyroclastic surge deposits are exposed in Hunt's Hole and Kilbourne Hole in southern New Mexico. These volcanic craters expose up to 13 m of stratigraphy, dominated by dm-to-m-scale bedforms. The geomorphic pattern around the rim of Hunt's Hole provides 3D exposures at the scale of the bedforms, which enables observations of bedform geometries. We identify several facies, and measure bedform characteristics in the cross-stratified facies. We propose that bedforms in pyroclastic surges can be identified by a unique style of stoss-side accretionary cross-stratification. Previous studies, of other pyroclastic surge deposits, identified chute and pool structures and potential antidunes, indicating high Froude number flow conditions. However, all bedforms observed at Hunt's Hole are consistent with downstream transport under lower flow regime conditions.
This study brings a new approach to bedform reconstructions, through the use of Terrestrial Laser Scanning (TLS) to studycross-stratification. TLS is based on Light Detection and Ranging (LiDAR). Large grain size variations in surge deposits make them an ideal target for TLS, because the intensity of the returned laser varies with grain size and packing, making individual beds visible in LiDAR data. We then produce digital outcrop models with mm-to-cm-scale resolution. In addition, we apply consumer-level technology to create 3D models from digital photography. The combination of these methods allows for visualization and mapping of geological surfaces in 3D. This high-resolution dataset can be used for bedform reconstructions and to establish quantitative metrics for the identification of pyroclastic surge deposits on Mars.