Estimating the roughness of muddy beds: A study based on in-site measurements and numerical modeling

Bed roughness is an important parameter for the prediction of sediment transport as well as calculating flow conditions near the bed. Numerical models are extensively used to make these predictions. In these models it is fundamental to have proper values for bed roughness. The bed roughness is being estimated using a dataset from an ongoing...

Modelling climate change-related feedbacks between seagrasses and suspended sediment in the Rødsand lagoon (Denmark)

Seagrass meadows are essential and valuable to many shallow coastal ecosystems, due to the many important ecosystem services they provide. The interaction of feedbacks between hydrodynamics, sediment dynamics, and eelgrass can be described with a feedback loop. At locations where eelgrass is present, it favours its growth by modifying the local...

Predicting the impact of sea-level rise in Baie Orientale and Baie de L'Embouchure, Saint Martin: Application of a hydrodynamic model including seagrass and coral reefs

Shallow bays in the Caribbean, like Baie Orientale and Baie de L'Embouchure in Saint Martin, are often sheltered by coral reefs and covered by seagrass meadows. They provide valuable services as tourism and coastal protection. The ecosystems are linked through biological, chemical and physical processes. But they are under pressure due to sea...