A lower-than-expected saltation threshold at Martian pressure and below

Autor: Jonathan Merrison, Philippe Claudin, Bruno Andreotti, Keld Rømer Rasmussen, J. J. Iversen
Rok vydání: 2021
Předmět:
Zdroj: Proc Natl Acad Sci U S A
Proceedings of the National Academy of Sciences
Andreotti, B, Claudin, P, Iversen, J J, Merrison, J P & Rasmussen, K R 2021, ' A lower-than-expected saltation threshold at Martian pressure and below ', Proceedings of the National Academy of Sciences of the United States of America, vol. 118, no. 5, e2012386118 . https://doi.org/10.1073/pnas.2012386118
DOI: 10.48550/arxiv.2104.05341
Popis: Aeolian sediment transport is observed to occur on Mars as well as other extraterrestrial environments, generating ripples and dunes as on Earth. The search for terrestrial analogues of planetary bedforms, as well as environmental simulation experiments able to reproduce their formation in planetary conditions, are powerful ways to question our understanding of geomorphological processes towards unusual environmental conditions. Here, we perform sediment transport laboratory experiments in a closed-circuit wind tunnel placed in a vacuum chamber and operated at extremely low pressures to show that Martian conditions belong to a previously unexplored saltation regime. The threshold wind speed required to initiate saltation is only quantitatively predicted by state-of-the art models up to a density ratio between grain and air of $4 \times 10^5$, but unexpectedly falls to much lower values for higher density ratios. In contrast, impact ripples, whose emergence is continuously observed on the granular bed over the whole pressure range investigated, display a characteristic wavelength and propagation velocity essentially independent of pressure. A comparison of these findings with existing models suggests that sediment transport at low Reynolds number but high grain-to-fluid density ratio may be dominated by collective effects associated with grain inertia in the granular collisional layer.
Comment: 38 pages, 21 figures
Databáze: OpenAIRE