|
|
|
Tommaso Moramarco, Silvia Barbetta, Angelica Tarpanelli
Pág. 1 - 12
A new methodology for estimating the discharge starting from the monitoring of surface flow velocity, usurf, is proposed. The approach, based on the entropy theory, involves the actual location of maximum flow velocity, umax, which may occur below the wa...
ver más
|
|
|
|
|
|
|
Tommaso Moramarco, Silvia Barbetta and Angelica Tarpanelli
A new methodology for estimating the discharge starting from the monitoring of surface flow velocity, usurf, is proposed. The approach, based on the entropy theory, involves the actual location of maximum flow velocity, umax, which may occur below the wa...
ver más
|
|
|
|
|
|
|
Silvia Barbetta, Gabriele Coccia, Tommaso Moramarco and Ezio Todini
This work presents the application of the multi-temporal approach of the Model Conditional Processor (MCP-MT) for predictive uncertainty (PU) estimation in the Godavari River basin, India. MCP-MT is developed for making probabilistic Bayesian decision. I...
ver más
|
|
|
|
|
|
|
Silvia Barbetta, Gabriele Coccia, Tommaso Moramarco, Ezio Todini
Pág. 1 - 25
This work presents the application of the multi-temporal approach of the Model Conditional Processor (MCP-MT) for predictive uncertainty (PU) estimation in the Godavari River basin, India. MCP-MT is developed for making probabilistic Bayesian decision. I...
ver más
|
|
|
|