Browsing by Author "Moreira, Madalena"
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- A Generalized Dynamic Programming Modelling Approach for Integrated Reservoir OperationPublication . Rani, Deepti; Mourato, Sandra; Moreira, MadalenaIn water resource systems, the demands at each reservoir are generally known. However, in the integrated operation of a system involving inter-basin water transfers, the import/export of water among various reservoirs also plays an important role in the sustainable and optimal management of available water. Generally, a trial and error approach is adopted to simulate a system for integrated operation. Prior information on water resettlements among reservoirs would be helpful for facilitating the integrated management of these systems. In the present study, a generalized inventory-based dynamic programming model is developed to evaluate the water transfers between reservoirs in the Alqueva subsystem. The model offers guidelines on water transfers among reservoirs and estimates the overall amount of water to be pumped from the Alqueva reservoir to subsidize the shortfalls in the Alqueva subsystem. The proposed methodology may be adapted to other complex systems to promote integrated operations, and the model may be useful for design and operational purposes.
- Improving a DSM Obtained by Unmanned Aerial Vehicles for Flood ModellingPublication . Mourato, Sandra; Fernandez, Paulo; Pereira, Luísa; Moreira, MadalenaAccording to the EU flood risks directive, flood hazard map must be used to assess the flood risk. These maps can be developed with hydraulic modelling tools using a Digital Surface Runoff Model (DSRM). During the last decade, important evolutions of the spatial data processing has been developed which will certainly improve the hydraulic models results. Currently, images acquired with Red/Green/Blue (RGB) camera transported by Unmanned Aerial Vehicles (UAV) are seen as a good alternative data sources to represent the terrain surface with a high level of resolution and precision. The question is if the digital surface model obtain with this data is adequate enough for a good representation of the hydraulics flood characteristics. For this purpose, the hydraulic model HEC-RAS was run with 4 different DSRM for an 8.5 km reach of the Lis River in Portugal. The computational performance of the 4 modelling implementations is evaluated. Two hydrometric stations water level records were used as boundary conditions of the hydraulic model. The records from a third hydrometric station were used to validate the optimal DSRM. The HEC-RAS results had the best performance during the validation step were the ones where the DSRM with integration of the two altimetry data sources.
- A new approach for computing a flood vulnerability index using cluster analysisPublication . Fernandez, Paulo; Mourato, Sandra; Moreira, Madalena; Pereira, LuísaA Flood Vulnerability Index (FloodVI) was developed using Principal Component Analysis (PCA) and a new aggregation method based on Cluster Analysis (CA). PCA simplifies a large number of variables into a few uncorrelated factors representing the social, economic, physical and environmental dimensions of vulnerability. CA groups areas that have the same characteristics in terms of vulnerability into vulnerability classes. The grouping of the areas determines their classification contrary to other aggregation methods in which the areas' classification determines their grouping. While other aggregation methods distribute the areas into classes, in an artificial manner, by imposing a certain probability for an area to belong to a certain class, as determined by the assumption that the aggregation measure used is normally distributed, CA does not constrain the distribution of the areas by the classes. FloodVI was designed at the neighbourhood level and was applied to the Portuguese municipality of Vila Nova de Gaia where several flood events have taken place in the recent past. The FloodVI sensitivity was assessed using three different aggregation methods: the sum of component scores, the first component score and the weighted sum of component scores. The results highlight the sensitivity of the FloodVI to different aggregation methods. Both sum of component scores and weighted sum of component scores have shown similar results. The first component score aggregation method classifies almost all areas as having medium vulnerability and finally the results obtained using the CA show a distinct differentiation of the vulnerability where hot spots can be clearly identified. The information provided by records of previous flood events corroborate the results obtained with CA, because the inundated areas with greater damages are those that are identified as high and very high vulnerability areas by CA. This supports the fact that CA provides a reliable FloodVI.
- Water Resources Impact Assessment Under Climate Change Scenarios in Mediterranean WatershedsPublication . Mourato, Sandra; Moreira, Madalena; Corte-Real, JoãoClimate models project a reduction in annual precipitation and an increase in temperature, which may lead to runoff shortages and a consequent water availability reduction, in some Mediterranean regions, such as southern Portugal. The impacts on water availability under different climate change scenarios are assessed using SHETRAN, a physically-based and spatially-distributed hydrological model. SHETRAN is calibrated and validated against daily runoff measurements at outlet and internal sections and against phreatic surfaces using a multi-basin, multi-location and multi-response approach. Nash-Sutcliff efficiency, volume deviation and coefficient of determination ranged, respectively, from 0.58 to 0.76, 0.59 to 0.79 and −9 to 15 %, in the calibration period, and from 0.54 to 0.75, 0.54 to 0.77 and −14 to 12 %, in the validation period. Three GCM and two RCM are used for control (1961–1990) and scenario (2071–2100) periods, under the A2 SRES emission scenario. Observed bias in the climate models’ projected precipitation and temperature are corrected with three bias correction methods. For the scenario period the climate models project a change in precipitation from +1.5 to −65 % and an increase in temperature from +2.7 to +5.9 °C. This trend in climate change projection is reflected in the annual runoff that decreases drastically, between 13 and 90 %, in southern Portugal by the end of the century. The runoff reduction is greater in all watersheds in Autumn and Spring with higher agreement between models and bias correction methods. The runoff decrease seems greater in the Guadiana river basin which is already under significant water stress. © 2015, Springer Science+Business Media Dordrecht.