Title: | A coupled hydrologic-machine learning modelling framework to support hydrologic modelling in river basins under interbasin water transfer regimes |
Authors: | Essenfelder, A.H. and C. Giupponi |
Year: | 2020 |
Journal: | Environmental Modelling & Software |
Volume (Issue): | 131 |
Pages: | |
Article ID: | 104779 |
DOI: | 10.1016/j.envsoft.2020.104779 |
URL (non-DOI journals): | |
Model: | SWAT |
Broad Application Category: | hydrologic only |
Primary Application Category: | model and/or data interface |
Secondary Application Category: | hydrologic assessment |
Watershed Description: | Dese-Zero River, which is part of the Venice Lagoon drainage area in northeast Italy. |
Calibration Summary: | |
Validation Summary: | |
General Comments: | |
Language: | English |
Keywords: | Complex water dynamics, Interbasin Water Transfer, SWAT model, Machine learning, Artificial neural networks |