Assessment of flood risk in Mediterranean catchments: an approach based on Bayesian networks
National and international technical reports have demonstrated the increase of extreme event occurrences which becomes more dangerous in coastal areas due to their higher population density. In Spain, flood and storm events are the main reasons for compensation according to the National Insurance Co...
| Main Authors: | , , |
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| Format: | info:eu-repo/semantics/article |
| Language: | English |
| Published: |
Springer
2024
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10835/15038 |
| _version_ | 1789406342216155136 |
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| author | Flores Gallego, María Julia Fernández Ropero, Rosa María Rumí Rodríguez, Rafael |
| author_facet | Flores Gallego, María Julia Fernández Ropero, Rosa María Rumí Rodríguez, Rafael |
| author_sort | Flores Gallego, María Julia |
| collection | DSpace |
| description | National and international technical reports have demonstrated the increase of extreme event occurrences which becomes more dangerous in coastal areas due to their higher population density. In Spain, flood and storm events are the main reasons for compensation according to the National Insurance Consortium. The aim of this paper is to model the risk of flooding in a Mediterranean catchment in the South of Spain. A hybrid dynamic object-oriented Bayesian network (OOBN) was learnt based on mixture of truncated exponential models, a scenario of rainfall event was included, and the final model was validated. OOBN structure allows the catchment to be divided into five different units and models each of them independently. It transforms a complex problem into a simple and easily interpretable model. Results show that the model is able to accurately watch the evolution of river level, by predicting its increase and the time the river needs to recover
normality, which can be defined as the river resilience. |
| format | info:eu-repo/semantics/article |
| id | oai:repositorio.ual.es:10835-15038 |
| institution | Universidad de Cuenca |
| language | English |
| publishDate | 2024 |
| publisher | Springer |
| record_format | dspace |
| spelling | oai:repositorio.ual.es:10835-150382024-01-10T08:48:44Z Assessment of flood risk in Mediterranean catchments: an approach based on Bayesian networks Flores Gallego, María Julia Fernández Ropero, Rosa María Rumí Rodríguez, Rafael Flood risk assessment Dynamic Bayesian networks Object-oriented Bayesian networks Mediterranean watershed National and international technical reports have demonstrated the increase of extreme event occurrences which becomes more dangerous in coastal areas due to their higher population density. In Spain, flood and storm events are the main reasons for compensation according to the National Insurance Consortium. The aim of this paper is to model the risk of flooding in a Mediterranean catchment in the South of Spain. A hybrid dynamic object-oriented Bayesian network (OOBN) was learnt based on mixture of truncated exponential models, a scenario of rainfall event was included, and the final model was validated. OOBN structure allows the catchment to be divided into five different units and models each of them independently. It transforms a complex problem into a simple and easily interpretable model. Results show that the model is able to accurately watch the evolution of river level, by predicting its increase and the time the river needs to recover normality, which can be defined as the river resilience. 2024-01-10T08:48:44Z 2024-01-10T08:48:44Z 2019 info:eu-repo/semantics/article M.J. Flores, R.F. Ropero, R. Rumí. Assessment of flood risk in Mediterranean catchments: an approach based on Bayesian networks. Stochastic Environmental Research and Risk Assessment, 2019. 33, pag. 1991-2005 http://hdl.handle.net/10835/15038 en https://link.springer.com/article/10.1007/s00477-019-01746-3 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Springer |
| spellingShingle | Flood risk assessment Dynamic Bayesian networks Object-oriented Bayesian networks Mediterranean watershed Flores Gallego, María Julia Fernández Ropero, Rosa María Rumí Rodríguez, Rafael Assessment of flood risk in Mediterranean catchments: an approach based on Bayesian networks |
| title | Assessment of flood risk in Mediterranean catchments: an approach based on Bayesian networks |
| title_full | Assessment of flood risk in Mediterranean catchments: an approach based on Bayesian networks |
| title_fullStr | Assessment of flood risk in Mediterranean catchments: an approach based on Bayesian networks |
| title_full_unstemmed | Assessment of flood risk in Mediterranean catchments: an approach based on Bayesian networks |
| title_short | Assessment of flood risk in Mediterranean catchments: an approach based on Bayesian networks |
| title_sort | assessment of flood risk in mediterranean catchments: an approach based on bayesian networks |
| topic | Flood risk assessment Dynamic Bayesian networks Object-oriented Bayesian networks Mediterranean watershed |
| url | http://hdl.handle.net/10835/15038 |
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