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Miotke, Franz-Dieter (1979): Tab 1-4 Weight and volume reduction as well as surface subsidence during abrasion experiments [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.754387, Supplement to: Miotke, F-D (1979): Die Formung und Formungsgeschwindigkeit von Windkantern in Victoria-Land, Antarktis. Polarforschung, 49(1), 30-43, hdl:10013/epic.29469.d001

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Abstract:
Antarctic land surfaces in South Victoria Land, all without a covering of vegetation, are actively formed by winds which often reach velocities of more than 100 km/h. Consequently, deflation and abrasion are essential factors in the process of slope formation. Water erosion, active only during the very short summer period, is limited to a few localities in South Victoria Land.
Experiments in a wind tunnel proved that ventifacts in the Dry Valleys can be formed within a few decades or at the most, a few centuries. Yearly corrasion rates average around a maximum of a few millimeters. Considerable variability is caused by the different exposures of ventifacts within the micro relief end the varying resistance of the rocks. The importance of ice crystals (snow) for abrasion processes should not be overestimated.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1TableTabMiotke, Franz-Dieterin publication
2Rock typeRockMiotke, Franz-Dieterused for experiment
3Time in minutesTimeminMiotke, Franz-Dieterrun time
4LossLossMiotke, Franz-DieterWind tunnel experiment[mg] weight loss
5LossLossMiotke, Franz-DieterCalculated[mg/h] equivalent
6LossLossMiotke, Franz-DieterCalculated[mg/cm**2 h] equivalent
7LossLossMiotke, Franz-DieterCalculated[mm**3/cm**2 h] volume loss
8LossLossMiotke, Franz-DieterCalculated[mm/h] surface reduction
9LossLossMiotke, Franz-DieterCalculated[mm/day] surface reduction
10LossLossMiotke, Franz-DieterCalculated[mm/week] surface reduction
11LossLossMiotke, Franz-DieterCalculated[mm/month] surface reduction
12LossLossMiotke, Franz-DieterCalculated[mm/year] surface reduction
13LossLossMiotke, Franz-DieterCalculated[mm/year] mean
Size:
210 data points

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