Sentence examples for discharge predictions from inspiring English sources

Daily discharge predictions were then performed using the calibrated models.

Results also reveal that the M5 model performed better than the ANN model for both low and high discharge predictions.

The results also show that coarsening spatial discretization mainly influences the uncertainty on discharge predictions.

Validation of stage and discharge predictions builds confidence in model predictions of flood extent and localized velocities, which are fundamental to reliable flash flood warning.

The reliability and robustness of the approach are demonstrated with daily and 6-hourly discharge predictions in 4 rivers in 3 countries having contrasting climatological, geographical and land use characteristics.

At the population level, calibration and accuracy of the second day discharge predictions was good, with aROC well above and Brier score well below the predefined thresholds.

The best discharge prediction methods with validity ranges of Yf/Ymc ratios are presented.

However, this discharge prediction method is not so accurate in the context of advancements over the last three decades.

This is usually done using energy-based gradually-varied flow models, like HEC-RAS, that adopts a vertical division method for discharge prediction in compound channel sections.

During the development of the ANFIS model, found that the relative depth, ratio of hydraulics radius and ratio of the area are the most influencing parameters in discharge prediction by the ANFIS model.

In this paper, the Shiono and Knight (SKM) quasi 2-D mathematical model has been numerically solved for discharge prediction of compound weirs, based on the assumption of flow similarity between compound sharp crested weirs and compound open channels.