The robustness of the physically-based, semi-distributed hydrological model ECOMAG with respect to changing (climatic or land-use) conditions was evaluated for two basins, considered within the modelling workshop held in the frame of the 2013 IAHS conference in Göteborg, Sweden. The first basin, the Garonne River basin, France, is characterized mostly by changes in climatic conditions, while the second, Obyån Creek, Sweden, was exposed to drastic land cover change due to deforestation.
Search resultsShowing items 1 through 9 of 2.
Library ResourceJournal Articles & BooksDecember, 2015France, Sweden
Library ResourceJournal Articles & BooksDecember, 2015France, Sweden, United States of America
Artificial neural networks (ANN) are nonlinear models widely investigated in hydrology due to their properties of universal approximation and parsimony. Their performance during the training phase is very good, and their ability to generalize can be improved by using regularization methods such as early stopping and cross-validation. In our research, two kinds of generic models are implemented: the feed-forward model and the recurrent model.
Land Library Search
Through our robust search engine, you can search for any item of the over 60,000 highly curated resources in the Land Library.
If you would like to find an overview of what is possible, feel free to peruse the Search Guide.