2012
DOI: 10.2475/05.2012.01
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Rate and processes of river network rearrangement during incipient faulting: The case of the Cahabon River, Guatemala

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Cited by 26 publications
(51 citation statements)
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“…As such, knickpoint propagation is often simply modeled as: C0.25em=0.25emψ0.25emAb where C is the knickpoint lip propagation celerity (m yr −1 ), A is the drainage area upstream of the knickpoint lip (m 2 ), ψ is the retreat efficiency (m 1−2 b yr −1 ), and b is a nondimensional constant. Drainage area dependency tends to be higher along fast‐migrating knickpoints, with b > 1 [e.g., Bishop et al ., ; Crosby and Whipple , ], than along slowly migrating ones, with b ≤ 0.5 [e.g., Weissel and Seidl , ; Berlin and Anderson, ; Brocard et al ., ], suggesting that fluvial processes are more effective than other processes at propagating knickpoints. We simulated knickpoint migration along the six major branches of Río Blanco starting at an initiation point defined in section 4.2 (Figure a).…”
Section: Processes Governing Slow Knickpoint Retreatmentioning
confidence: 99%
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“…As such, knickpoint propagation is often simply modeled as: C0.25em=0.25emψ0.25emAb where C is the knickpoint lip propagation celerity (m yr −1 ), A is the drainage area upstream of the knickpoint lip (m 2 ), ψ is the retreat efficiency (m 1−2 b yr −1 ), and b is a nondimensional constant. Drainage area dependency tends to be higher along fast‐migrating knickpoints, with b > 1 [e.g., Bishop et al ., ; Crosby and Whipple , ], than along slowly migrating ones, with b ≤ 0.5 [e.g., Weissel and Seidl , ; Berlin and Anderson, ; Brocard et al ., ], suggesting that fluvial processes are more effective than other processes at propagating knickpoints. We simulated knickpoint migration along the six major branches of Río Blanco starting at an initiation point defined in section 4.2 (Figure a).…”
Section: Processes Governing Slow Knickpoint Retreatmentioning
confidence: 99%
“…This value, b = 0.25, lies halfway between the theoretical value of b = 0.5 expected when celerity is controlled by unit stream power and the value b = 0 expected when celerity is independent from fluvial erosion (Figure a, AD model). Using our estimated age of initiation of 4.2 ± 0.3 Myr, the best fit retreat efficiency is 2.5 ± 0.2 · 10 −5 m 0.5 yr −1 , about 10 times lower than the retreat efficiency found over steeply bedded shales at similar b values and drainage areas in the subtropical belt [ Brocard et al ., ].…”
Section: Processes Governing Slow Knickpoint Retreatmentioning
confidence: 99%
“…As a result, evidence for migration has often been sought after in the stratigraphic record of the sediment sinks into which drainages terminate (e.g. Horton and DeCelles, 2001;Clark et al, 2004;Brocard et al, 2012;Prince and Spotila, 2013;Simon-Labric et al, 2014;Morriss and Wegmann, 2016). However, such proxies are indirect, lack spatial resolution, and are hard to acquire.…”
Section: Introductionmentioning
confidence: 99%
“…Various mechanisms have been proposed to drive drainage reorganization in the Alps [Ziegler and Fraefel, 2009;Schlunegger and Mosar, 2011] and elsewhere [Bishop, 1995;Brocard et al, 2012]. Such physical mechanisms include tectonic activity, ice sheets, landslides, and groundwater processes.…”
Section: Driving Mechanismsmentioning
confidence: 99%
“…This pulse of erosion is also propagated upstream through both the captured and original river basins. Few studies have quantified the rates and magnitudes of fluvial erosion associated with river capture events [e.g., Gunnell and Harbor, 2010;Schlunegger and Mosar, 2011;Prince et al, 2011;Andrews et al, 2012;Brocard et al, 2012], and we are not aware of studies that have explored the implications of drainage capture for landscape evolution with a numerical model.…”
Section: Introductionmentioning
confidence: 99%