https://orcid.org/0000-0002-9015-9968
Figures & data
Figure 1. Representation of a feedforward artificial neural network (ANN) with three layers
Figure 2. Localization of the study area, showing the selected hydrometric stations
Table 1. Selected hydrometric stations
Figure 3. Summary of the input and output variables
Table 2. Sample separation
Figure 4. (a) Soil type classes, (b) land use classes and (c) digital elevation model in the Upper Paraguay River Basin (UPRB)
Table 3. Descriptive statistics of quantitative variables used in the Artificial Neural Network models
Table 4. Descriptive statistics and linear correlations between Suspended Sediment Concentration and turbidity for each station
Table 5. Statistical performance of Artificial Neural Network models
Figure 5. Verified error between the calculated and observed suspended sediment concentration (SSC) values (a, b) and the observed and calculated values in relation to the ideal fit (c, d), from model M01
