Nonlinear Autoregressive Exogenous (NARX) Neural Network Models for Storm Tide Forecasting in the Venice Lagoon
Venice and its lagoon represent an extraordinary architectural, artistic and cultural heritage. However, due to the combination of astronomical and meteorological causes, as well as by the conformation of the sea basin, the city and its lagoon are frequently affected by high tides that have caused s...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Environmental Sciences Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4931/21/1/93 |
| _version_ | 1797580173862764544 |
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| author | Fabio Di Nunno Francesco Granata Rudy Gargano Giovanni De Marinis |
| author_facet | Fabio Di Nunno Francesco Granata Rudy Gargano Giovanni De Marinis |
| author_sort | Fabio Di Nunno |
| collection | DOAJ |
| description | Venice and its lagoon represent an extraordinary architectural, artistic and cultural heritage. However, due to the combination of astronomical and meteorological causes, as well as by the conformation of the sea basin, the city and its lagoon are frequently affected by high tides that have caused significant damage over the centuries. Therefore, a proper prediction of the tide level, especially storm surges, is an essential task for the protection of Venice and its lagoon. The aim of this study is to provide a prediction of storm tide events based on nonlinear autoregressive exogenous (NARX) neural network models. Therefore, the developed model could act as a reliable tool for the MOSE system management, which will protect Venice from high waters. |
| first_indexed | 2024-03-10T22:47:34Z |
| format | Article |
| id | doaj.art-b5c03b5bd4b24fb7969f64dd3685d310 |
| institution | Directory Open Access Journal |
| issn | 2673-4931 |
| language | English |
| last_indexed | 2024-03-10T22:47:34Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Environmental Sciences Proceedings |
| spelling | doaj.art-b5c03b5bd4b24fb7969f64dd3685d3102023-11-19T10:38:04ZengMDPI AGEnvironmental Sciences Proceedings2673-49312023-02-012119310.3390/environsciproc2022021093Nonlinear Autoregressive Exogenous (NARX) Neural Network Models for Storm Tide Forecasting in the Venice LagoonFabio Di Nunno0Francesco Granata1Rudy Gargano2Giovanni De Marinis3Department of Civil and Mechanical Engineering (DICeM), University of Cassino and Southern Lazio, Via Di Biasio, 43, 03043 Cassino, FR, ItalyDepartment of Civil and Mechanical Engineering (DICeM), University of Cassino and Southern Lazio, Via Di Biasio, 43, 03043 Cassino, FR, ItalyDepartment of Civil and Mechanical Engineering (DICeM), University of Cassino and Southern Lazio, Via Di Biasio, 43, 03043 Cassino, FR, ItalyDepartment of Civil and Mechanical Engineering (DICeM), University of Cassino and Southern Lazio, Via Di Biasio, 43, 03043 Cassino, FR, ItalyVenice and its lagoon represent an extraordinary architectural, artistic and cultural heritage. However, due to the combination of astronomical and meteorological causes, as well as by the conformation of the sea basin, the city and its lagoon are frequently affected by high tides that have caused significant damage over the centuries. Therefore, a proper prediction of the tide level, especially storm surges, is an essential task for the protection of Venice and its lagoon. The aim of this study is to provide a prediction of storm tide events based on nonlinear autoregressive exogenous (NARX) neural network models. Therefore, the developed model could act as a reliable tool for the MOSE system management, which will protect Venice from high waters.https://www.mdpi.com/2673-4931/21/1/93tide predictionstorm tideartificial neural networkNARXVenice LagoonMoSE |
| spellingShingle | Fabio Di Nunno Francesco Granata Rudy Gargano Giovanni De Marinis Nonlinear Autoregressive Exogenous (NARX) Neural Network Models for Storm Tide Forecasting in the Venice Lagoon Environmental Sciences Proceedings tide prediction storm tide artificial neural network NARX Venice Lagoon MoSE |
| title | Nonlinear Autoregressive Exogenous (NARX) Neural Network Models for Storm Tide Forecasting in the Venice Lagoon |
| title_full | Nonlinear Autoregressive Exogenous (NARX) Neural Network Models for Storm Tide Forecasting in the Venice Lagoon |
| title_fullStr | Nonlinear Autoregressive Exogenous (NARX) Neural Network Models for Storm Tide Forecasting in the Venice Lagoon |
| title_full_unstemmed | Nonlinear Autoregressive Exogenous (NARX) Neural Network Models for Storm Tide Forecasting in the Venice Lagoon |
| title_short | Nonlinear Autoregressive Exogenous (NARX) Neural Network Models for Storm Tide Forecasting in the Venice Lagoon |
| title_sort | nonlinear autoregressive exogenous narx neural network models for storm tide forecasting in the venice lagoon |
| topic | tide prediction storm tide artificial neural network NARX Venice Lagoon MoSE |
| url | https://www.mdpi.com/2673-4931/21/1/93 |
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