scholarly journals Coastal Morph Dynamics and Long-term Morphological Modeling: A Review

2014 ◽  
Vol 6 (11) ◽  
pp. 493-499 ◽  
Author(s):  
Saeed Zeinali ◽  
Nasser Talebbeydokhti ◽  
Mojtaba Jandaghian ◽  
Sasan Tavakkol
2008 ◽  
Vol 256 (1-4) ◽  
pp. 90-100 ◽  
Author(s):  
A. Dastgheib ◽  
J.A. Roelvink ◽  
Z.B. Wang

Author(s):  
ALEJANDRO SANCHEZ ◽  
MITCHELL BROWN ◽  
TANYA BECK ◽  
RICHARD STYLES ◽  
HONGHAI LI

2016 ◽  
Vol 4 (4) ◽  
pp. 65 ◽  
Author(s):  
Richard Styles ◽  
Mitchell Brown ◽  
Katherine Brutsché ◽  
Honghai Li ◽  
Tanya Beck ◽  
...  

2012 ◽  
Vol 1 (33) ◽  
pp. 63 ◽  
Author(s):  
Nicholas Grunnet ◽  
Sten Esbjørn Kristensen ◽  
Nils Drønen ◽  
Rolf Deigaard ◽  
Caroline Tessier ◽  
...  

A recently developed long-term morphological modeling concept is applied to evaluate the impact of nourishment schemes. The concept combines detailed two-dimensional morphological models and simple one-line models for the coastline evolution and is particularly well suited for long-term simulation. This hybrid concept is here applied to study the decadal morphological evolution of several nourishment scenarios in Dunkirk, France. The morphological simulations successfully allowed identifying the impact of beach versus shoreface nourishment scenarios on the background morphological behavior of the study site. This study strongly indicates that the hybrid model may be used as an engineering tool to predict shoreline response following the implementation of a nourishment project


Author(s):  
Ali Dastgheib ◽  
Mick van der Wegen ◽  
D.M.P.K. Dissanayake ◽  
Dano Roelvink

2019 ◽  
Vol 42 ◽  
Author(s):  
John P. A. Ioannidis

AbstractNeurobiology-based interventions for mental diseases and searches for useful biomarkers of treatment response have largely failed. Clinical trials should assess interventions related to environmental and social stressors, with long-term follow-up; social rather than biological endpoints; personalized outcomes; and suitable cluster, adaptive, and n-of-1 designs. Labor, education, financial, and other social/political decisions should be evaluated for their impacts on mental disease.


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