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Coimbra, Portugal

Gassmann M.,Luneburg University | Brito D.,Instituto do Mar IMAR | Olsson O.,Luneburg University
Hydrological Sciences Journal | Year: 2014

Knowledge of the amount of nutrient input to receiving waters by their catchments is often mandatory for water managers. In this study, we estimated the export of phosphorus from a Mediterranean catchment into a downstream reservoir under the constraint of limited sampling data availability. We calibrated the physically- based catchment-scale model ZIN-Sed 2D to a regionalized flow duration curve and scarce event mean sampling data of dissolved and particulate phosphorus. The model results were further confirmed by discussion of soft data from the literature. Our modelling approach differs from commonly applied models by using a time step of less than 1 day, and a Langmuir isotherm for phosphorus sorption instead of the linear isotherm. The successful model application showed that this combination of methods is applicable under data-scarce conditions and the long-term phosphorus export from the study site is below average for this region. © 2013 IAHS Press. Source


Kalwa J.,Atlas Hydrographic GmbH | Carreiro-Silva M.,Instituto do Mar IMAR | Tempera F.,Instituto do Mar IMAR | Fontes J.,Instituto do Mar IMAR | And 9 more authors.
OCEANS 2013 MTS/IEEE Bergen: The Challenges of the Northern Dimension | Year: 2013

The MORPH project (FP 7, 2012-2016) aims at the development of efficient methods and tools to map the underwater environment in situations that defy existing technology. Namely, missions that involve underwater surveying and marine habitat mapping of rugged terrain and structures with full 3D complexity, including near-vertical cliffs. Potential applications include the study of cold water coral reefs or ecosystems in underwater canyons. For mapping purposes, the project advances the novel concept of an underwater robotic sensor carrier consisting of a number of spatially separated mobile robotic modules, each of them carrying complementary sensors. The modules are connected virtually via wireless communication links. Free from the constraints of rigid links, the modules can reconfigure themselves spatially and position their sensors optimally as a function of the shape of the terrain, which may include walls with a negative slope. In the scope of the project, a final demonstration on a vertical cliff will validate the efficacy of the methods developed. © 2013 IEEE. Source

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