A multi-criteria meshing method applied to a shallow water model

Mazzolari, Andrea; Trigo-Teixeira, António; Araújo, Maria Amélia V.C.

doi:10.2112/si65-198.1

Cited by 4 publications

(3 citation statements)

References 18 publications

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“…The axial tidal influence was corrected from bathymetric data based on hydrodynamic models built for the Lima estuary (Falcão et al, 2013;Mazzolari et al, 2013;Rebordão and Trigo-Teixeira, 2009). Data were interpolated to a contiguous grid of 9 m resolution using ANUDEM (version 5.3) algorithm (Hutchinson, 1989;Hutchinson et al, 2011), which is implemented in ArcGIS 10.2 (ESRI, Redlands, CA) (Topo to Raster tool).…”

Section: Depthmentioning

confidence: 99%

“…Two classes were used: >0.8 m s-1 ("high dynamics") and <0.8 m s-1 ("low dynamics"), 0.8 m s-1 being the boundary at which sediment is frequently stirred or suspended and the formation of megaripples occurs (Bouma et al, 2005). Water velocity in the estuary was determined from hydrodynamic models (Falcão et al, 2013;Mazzolari et al, 2013;Rebordão and Trigo-Teixeira, 2009) to show areas where depth averaged current velocity exceeds the above threshold.…”

Section: Hydrodynamicsmentioning

confidence: 99%

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Habitat loss and gain: Influence on habitat attractiveness for estuarine fish communities

Amorim

Ramos

Elliott

et al. 2017

Estuarine, Coastal and Shelf Science

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Habitat structure and complexity influence the structuring and functioning of fish communities.Habitat changes are one of the main pressures affecting estuarine systems worldwide, yet the degree and rate of change and its impact on fish communities is still poorly understood. In order to quantify historical modifications in habitat structure, an ecohydrological classification system using physiotopes, i.e. units with homogenous abiotic characteristics, was developed for the lower Lima estuary (NW Portugal). Field data, aerial imagery, historical maps and interpolation methods were used to map input variables, including bathymetry, substratum (hard/soft), sediment composition, hydrodynamics (current velocity) and vegetation coverage. Physiotopes were then mapped for the years of 1933 and 2013 and the areas lost and gained over the 80 years were quantified. The implications of changes for the benthic and demersal fish communities using the lower estuary were estimated using the attractiveness to those communities of each physiotope, while considering the main estuarine habitat functions for fish, namely spawning, nursery, feeding and refuge areas and migratory routes. The lower estuary was highly affected due to urbanisation and development and, following a port/harbour expansion, its boundary moved seaward causing an increase in total area. Modifications led to the loss of most of its sandy and saltmarsh intertidal physiotopes, which were replaced by deeper subtidal physiotopes. The most attractive physiotopes for fish (defined as the way in

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Section: Depthmentioning

confidence: 99%

Section: Hydrodynamicsmentioning

confidence: 99%

Habitat loss and gain: Influence on habitat attractiveness for estuarine fish communities

Amorim

Ramos

Elliott

et al. 2017

Estuarine, Coastal and Shelf Science

View full text Add to dashboard Cite

show abstract

“…Improvements were obtained by locating the upstream river boundary outside the tidal influence reach, thus avoiding wave reflection back into the estuary. In addition, joining the oceanic and estuarine domains in a unique simulation also improves the model results quality (Mazzolari, Trigo-Teixeira, and Araújo, 2013). Nonetheless, the calibration process was considered successful.…”

Section: Model Calibrationmentioning

confidence: 99%