Краткое описание

Within the framework of diploma theses elaborated at the Division of Hydraulic Engineering, Department of Civil Engineering, Democritus University of Thrace, measurements of stream discharge and bed load transport rate (experiments in enviromental flow) were carried out at the outlet of the mountainous part of the Nestos River basin (northeastern Greece). In concrete terms, 68 measurements of stream discharge and bed load transport rate were carried out at a location near the basin outlet. Apart from the measurements, the bed load transport rate was computed using the Meyer-Peter-Muller formula, after calibrating the formula in terms of the roughness coefficient. Comparison of the results obtained from the computations and measurements of the bed load transport rate, based on well-known statistical criteria, were fairly satisfactory. Finally, we build an artificial neural network, a data-driven technique, and investigate how well this simulates the site-measured bed load transport rate values.