Most Portuguese fluvial systems are subject to flow regularization through construction of dams and reservoirs. Such structures are responsible for significant changes in estuarine configuration, modifying the natural discharge patterns and trapping the fluvial sediments upstream, decreasing the fluvial contribution to the coastal sediment budget. Sediment export estimates reveal a severe sediment deficit and an accentuated erosive tendency in some segments of the NW Portuguese coast. In this context, the quantification and qualification of the present effective sediment exchanges between estuaries and the coastal shelf is crucial to determine the consequent implications of urgent coastal management actions. In order to address this problem, the implementation of pragmatic monitoring solutions and the compilation of previously collected data has become a priority in order to establish the present sediment dynamic regime in this area.
In the past, several long term datasets of Acoustic Doppler Current Profilers were collected in Portuguese transitional areas covering different seasonal regimes. These datasets, collected with diverse objectives in mind, were processed and interpreted to establish the hydrodynamic regime in their respective study areas, but no attempt was made to establish suspended sediment patterns during the duration of their deployment.
The possibility of extracting estimates of sediment concentration and grain size from these ADCP datasets is explored in this research, and the results from these findings are then used to reprocess and reinterpret datasets collected in two major NW Portuguese estuaries: The Douro and the Minho. As a final objective we aim to quantify and qualify the effective sediment exchanges from these estuaries and the coastal shelf, and consequently determining the fate and destination of these sediments, by describing different seasonal transport patterns based on sediment dynamics conceptual models of both estuaries built based on previously collected ADCP data time series
