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Water level forecasting through fuzzy logic and artificial neural network approaches
| Content Provider | Semantic Scholar |
|---|---|
| Author | Alvisi, Stefano Mascellani, Gianluca Franchini, Marco Bárdossy, András |
| Copyright Year | 2005 |
| Abstract | In this study three data-driven water level fore- casting models are presented and discussed. One is based on the artificial neural networks approach, while the other two are based on the Mamdani and the Takagi-Sugeno fuzzy logic approaches, respectively. All of them are parameterised with reference to flood events alone, where water levels are higher than a selected threshold. The analysis of the three models is performed by using the same input and output variables . However, in or- der to evaluate their capability to deal with different levels of information, two different input sets are considered. The former is characterized by significant spatial and time aggre- gated rainfall information, while the latter considers rainfall information more distributed in space and time. The analysis is made with great attention to the reliabil- ity and accuracy of each model, with reference to the Reno river at Casalecchio di Reno (Bologna, Italy). It is shown that the two models based on the fuzzy logic approaches perform better when the physical phenomena considered are synthe- sised by both a limited number of variables and IF-THEN logic statements, while the ANN approach increases its per- formance when more detailed information is used. As re- gards the reliability aspect, it is shown that the models based on the fuzzy logic approaches may fail unexpectedly to fore- cast the water levels, in the sense that in the testing phase, some input combinations are not recognised by the rule sys- tem and thus no forecasting is performed. This problem does not occur in the ANN approach. |
| Starting Page | 1 |
| Ending Page | 17 |
| Page Count | 17 |
| File Format | PDF HTM / HTML |
| DOI | 10.5194/hess-10-1-2006 |
| Volume Number | 10 |
| Alternate Webpage(s) | http://hal.archives-ouvertes.fr/docs/00/30/48/02/PDF/hess-10-1-2006.pdf |
| Alternate Webpage(s) | http://hal.archives-ouvertes.fr/docs/00/29/86/69/PDF/hessd-2-1107-2005.pdf |
| Alternate Webpage(s) | https://www.hydrol-earth-syst-sci-discuss.net/2/1107/2005/hessd-2-1107-2005.pdf |
| Alternate Webpage(s) | https://www.hydrol-earth-syst-sci.net/10/1/2006/hess-10-1-2006.pdf |
| Alternate Webpage(s) | https://doi.org/10.5194/hess-10-1-2006 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
