2011
DOI: 10.1017/jfm.2011.200
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Bend theory of river meanders with spatial width variations

Abstract: The present work revisits the classical, uniform-width bend theory with the aim to understand whether and how spatial width oscillations can affect the process of linear bend stability that initiates meander planform evolution. Although longitudinal oscillations of channel width are common along many meandering streams, little investigation of their properties and dynamic effects has been pursued so far. The theory therefore accounts for width variations as a geometrical forcing in a depth-averaged model of me… Show more

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Cited by 34 publications
(54 citation statements)
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References 44 publications
(67 reference statements)
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“…has been applied to all bends, which have been grouped into classes of similar meander wave number λ. The outcomes, represented in Figure 5 in the form of box plots, are consistent with the findings of Luchi et al [2011] on the Rio Beni. Average δ values are typically slightly lower than 0.1, corresponding to the widest section less than 20% wider than the wavelength‐averaged value.…”
Section: Quantificaton Of Width and Curvature Variations In Meanderssupporting
confidence: 75%
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“…has been applied to all bends, which have been grouped into classes of similar meander wave number λ. The outcomes, represented in Figure 5 in the form of box plots, are consistent with the findings of Luchi et al [2011] on the Rio Beni. Average δ values are typically slightly lower than 0.1, corresponding to the widest section less than 20% wider than the wavelength‐averaged value.…”
Section: Quantificaton Of Width and Curvature Variations In Meanderssupporting
confidence: 75%
“…investigated the nonlinear interaction between free migrating bars and steady central bars in the same planform configuration. In the case of curved channels, Luchi et al [2010b] have modeled the linear and nonlinear development of midchannel bars in meandering channels, which are typical features of transitional morphologies between meandering and braiding; Frascati and Lanzoni [2011] have extended the theory of Repetto et al [2002] to channels with arbitrarily varying width, and applied this to meandering streams; Luchi et al [2011] have analyzed the dynamic effect of spatial width oscillations on the process of meander bend stability; Luchi et al [2012] have extended the nonlinear model of Bolla Pittaluga et al [2009] to meanders with spatial width oscillations. Linear models for equiwidth meandering channels [ Camporeale et al , 2007] together with these more recent analytical theories for meanders with spatial width variations separately address the key physical processes emerging from the overview of field investigations (section 2.1).…”
Section: State Of the Artmentioning
confidence: 99%
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“…Advances in research on river meandering through the '90s and the beginning of the 21th century have focused specifically on several topics: field-based or empirical research on the interactions between flow structure and bed morphology (e.g., Lawler et al, 1997;Frothingham and Rhoads, 2003;Harrison et al, 2011) and on channel planform evolution (e.g., Hooke, 1995;Gilvear et al, 2000;Hooke, 2007;Luchi et al, 2007;Hooke, 2008;Rhoads, 2009b, 2010); experimental-or laboratory-based research on flow and sediment transport in curved channels (e.g., Whiting and Dietrich, 1993a, 1993b, 1993cBlanckaert and de Vriend, 2004;Blanckaert and de Vriend, 2005;Peakall et al, 2007aPeakall et al, , 2007bAbad and García, 2009a, b;Braudrick et al, 2009;Termini, 2009) and theoretical and numerical modeling of meander morphodynamics (e.g., Odgaard, 1989;Tubino and Seminara, 1990;Furbish, 1991;Howard, 1992;Seminara and Tubino, 1992;Sun et al, 1996;Darby et al, 2002;Lancaster and Bras, 2002;Blanckaert and de Vriend, 2003;Bolla Pittaluga et al, 2009;Crosato, 2009;Dulal et al, 2010;Luchi et al, 2010;Güneralp and Rhoads, 2011;Luchi et al, 2011). The same period has also seen the development of research on submarine meandering channels focusing on the detailed characterization of meander geometry, migration rates, and interchannel-sedimentation patterns (e.g., …”
Section: Introductionmentioning
confidence: 99%