Special Issue "Sediment Transport in Coastal Waters"
A special issue of Water (ISSN 2073-4441).
Deadline for manuscript submissions: closed (30 June 2017)
Dr. Sylvain Ouillon
Institut de Recherche Pour le Développement (IRD), LEGOS, Université de Toulouse, 14 av. Edouard Belin, 31400 Toulouse, France
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Interests: sediment dynamics; sediment processes; watershed; estuaries; coastal oceanography; effects of climate change and human activity on sediment budget; ocean color in coastal waters and applications; numerical modeling
Globally, while land erosion has increased in the last decades, sediment input to the ocean has decreased. Sediment transport and distribution at the land-ocean interface has huge impacts on morphodynamics of estuaries, deltas and coastal zones, on water quality (and related issues such as aquaculture), on navigation and harbor capability, on recreation areas, etc. Scientific objectives must be achieved to deepen our knowledge on processes based on field surveys, modeling, space observation or experiments in laboratory, to refine the sediment budget (bedload and suspension) between compartments, and to improve our observation and modelling capacities. Sediment transport which is mainly driven by varying dynamical forcings (currents, tides, wind, waves, turbulence, stratification, density currents, etc.) in the estuary, in the ROFI zone, on the shelf or in canyons may also be affected by chemical and biological processes. In this Special Issue, we invite scientists working on different aspects of sediment transport, in muddy, sandy or mixed environments, to share their most recent results and give reviews or examples encompassing different aspects of sediment transport in coastal zones at different scales. Papers may deal with water and sediment analysis (including Particle Size Distribution), modeling, and remote sensing.
Dr. Sylvain Ouillon
Manuscript Submission Information
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- sediment transport processes
- sediment budget
- bed load
- coastal zones
- river plume
- nearshore processes
- numerical modeling
- remote sensing