Innovative Analysis of Runoff Temporal Behavior through Bayesian Networks
Hydrological series are largely characterized by a strong random component in their behavior. More noticeable changes in the behavior patterns of rainfall/runoff temporal series are recently being observed. These modifications are not a trivial issue, especially in regards to peculiarities, non-line...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2016-10-01
|
| Series: | Water |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2073-4441/8/11/484 |