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Stream channels that cross strike-slip fau … Stream channels that cross strike-slip faults play an essential role in the long-term landscape response. So far, numerical models of strike-slip faults have simulated fluvial erosion assuming purely detachment-limited conditions. The detachment-limited theory assumes that the erosion is controlled by material that is detached from the channel bed and is always transported by the flow. As an alternative, erosion in channels can be represented by the transport-limited theory, which assumes that sediment is always available but may or not be transportable depending on the flow capacity. Extreme environments such as the Atacama Desert in Northern Chile, are evidence of strike-slip faulting with channels covered by alluvial deposits, suggesting that the landscape is best represented by a combination of detachment-limited and transport-limited conditions. Based on the most recent strike-slip fault model we incorporate and couple the effect of the SPACE (stream power with alluvium conservation and entrainment) 1.0 Landlab component in Python. The SPACE component can freely transition between detachment-limited and transport-limited conditions offering a closer representation of what is observed in the natural world. The results of coupling SPACE with strike-slip faults models are contrasted against the models that apply only detachment-limited conditions, to identify the action of a layer of sediment in landscape modification under variable strike-slip fault conditions. The concluding remarks of this work contribute to testing the accuracy of simplifying channel erosion processes to the commonly used stream power equation in strike-slip fault settings.er equation in strike-slip fault settings. +
Modeling the effects of detachment and entrainment of sediment in fault-crossing channels in strike-slip faults +
Seattle +
United States +
aduvall@uw.edu +
University of Washington +
Seattle +
tarangui@uw.edu +
Tamara +
University of Washington +
Aranguiz +
2063729609 +
Image: +
3) The Art of Modeling +
4) Xarray for Scalable Scientific Data Analysis +
1) Component Creation with Landlab +
Washington +
United States +
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17:53:56, 25 February 2022 +
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18:32:06, 14 April 2022 +
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