Manuel Almeida’s scientific contributions

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Publications (2)

Figure 1: Torrão reservoir watershed. Thiessen polygons. Water quality stations
Figure 3: Constituents observed values at three different depths: (a) an integrated sample between the reservoir surface and an average depth of 5.8 meters, (b) an average depth of 23 meters, and (c) an average depth of 43.7 meters. These observed values were compared with the predicted time series from the W2_SD_baseline (A to F) and W2_zero-order_baseline (SOD: 2.5 g/m²/day) (G to L) for the same depths.
Figure 5: Observed DO profiles (300 m from the dam) compared to predicted profiles using the W2_zero-order model (baseline), W2_SD model (Run 2) and (Run 5; baseline).
Figure A1: CE-QUAL-W2 bathymetry -Cross section of the Tâmega River with the average segment width
Main features of Torrão dam and reservoir

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Evaluating the performance of CE-QUAL-W2 version 4.5 sediment diagenesis model
  • Preprint
  • File available

January 2025

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17 Reads

Manuel Almeida

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Pedro Coelho

This study set out to assess the performance of the state-of-the-art CE-QUAL-W2 v4.5 sediment diagenesis model. The model was applied to a reservoir in Portugal using observed sediment particulate organic carbon values corresponding to a six-year period (2016–2021). The model was calibrated by comparing its results with 35 observed dissolved oxygen and water temperature profiles, as well as annual total nitrogen, total phosphorus, biochemical oxygen demand, and chlorophyll-a measurements corresponding to three different depths. In addition to model calibration, a sensitivity analysis was also conducted by varying the input particulate organic carbon values and applying a user-specified sediment oxygen model (zero-order model). The results demonstrated the overall effectiveness of the sediment diagenesis model, which accurately simulated dissolved oxygen profiles, nutrient concentrations, and organic matter levels (Dissolved oxygen profiles: NSE = 0.41 ± 0.67; RMSE = 1.73 mg/L ± 0.69), highlighting its potential as an effective tool for simulating lakes and reservoirs and supporting water management processes. The study further suggests that the zero-order model is able to serve as an effective starting point for implementing the sediment diagenesis model, providing an initial estimate for mean reservoir sediment oxygen demand (SOD) values.

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