scholarly journals Predicting coastal cliff erosion using a Bayesian probabilistic model

2010 ◽  
Vol 278 (1-4) ◽  
pp. 140-149 ◽  
Author(s):  
Cheryl Hapke ◽  
Nathaniel Plant
2020 ◽  
Vol 95 (sp1) ◽  
pp. 1057 ◽  
Author(s):  
Laura del Río ◽  
Daniel Posanski ◽  
F. Javier Gracia ◽  
Antonio M. Pérez-Romero

2018 ◽  
Vol 18 (24) ◽  
pp. 10174-10182 ◽  
Author(s):  
Weichao Liang ◽  
Youquan Wang ◽  
Zhiang Wu ◽  
Bo Mao ◽  
Jie Cao

2011 ◽  
Vol 1 (32) ◽  
pp. 53
Author(s):  
Bastien Caplain ◽  
Dominique Astruc ◽  
Vincent Regard ◽  
Frédéric Moulin

Laboratory experiments have been performed in a wave flume to investigate the coastal cliff recession under regular waves forcing. The different processes of the cliff erosion cycle are described and we focus on bottom evolution, which seem mostly depend on the surf similarity parameter ξ. We observed steep planar (ξ > 0.7), gentle planar (0.5 < ξ < 0.7) and bared (ξ < 0.5) profiles. We noticed different sandbar dynamics including either steady or unsteady self-sustained oscillating states. Then we estimate the role of the self-organized material on the cliff recession rate. We show that the cliff erosion increases with the wave energy flux and is stronger for a gentle planar profile than for a bared profile of bottom morphology. However, the cliff recession rate as a function of the cliff height is not monotonic due to a different dynamics of bottom morphologies.


2008 ◽  
Vol 214 (2-4) ◽  
pp. 210-218 ◽  
Author(s):  
Duncan S. Wilson ◽  
Margo A. Stoddard ◽  
Klaus J. Puettmann

2018 ◽  
Vol 43 (6) ◽  
pp. 1213-1228 ◽  
Author(s):  
Claire Earlie ◽  
Gerhard Masselink ◽  
Paul Russell

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