Towards an automatic early warning system of flood hazards based on precipitation forecast: the case of the Miño River (NW Spain)
| UDC.coleccion | Investigación | es_ES |
| UDC.departamento | Enxeñaría Civil | es_ES |
| UDC.endPage | 2595 | es_ES |
| UDC.grupoInv | Enxeñaría da Auga e do Medio Ambiente (GEAMA) | es_ES |
| UDC.institutoCentro | CITEEC - Centro de Innovación Tecnolóxica en Edificación e Enxeñaría Civil | es_ES |
| UDC.issue | 11 | es_ES |
| UDC.journalTitle | Natural Hazards and Earth System Sciences | es_ES |
| UDC.startPage | 2583 | es_ES |
| UDC.volume | 19 | es_ES |
| dc.contributor.author | González-Cao, José | |
| dc.contributor.author | García-Feal, Orlando | |
| dc.contributor.author | Fernández-Novoa, Diego | |
| dc.contributor.author | Domínguez, J. M. | |
| dc.contributor.author | Gómez-Gesteira, Moncho | |
| dc.date.accessioned | 2024-10-09T15:32:41Z | |
| dc.date.available | 2024-10-09T15:32:41Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | [Abstract:] An early warning system for flood prediction based on precipitation forecast is presented. The system uses rainfall forecast provided by MeteoGalicia in combination with a hydrologic (Hydrologic Modeling System, HEC-HMS) and a hydraulic (Iber+) model. The upper reach of the Miño River and the city of Lugo (NW Spain) are used as a study area. Starting from rainfall forecast, HEC-HMS calculates the streamflow and Iber+ is automatically executed for some previously defined risk areas when a certain threshold is exceeded. The analysis based on historical extreme events shows that the system can provide accurate results in less than 1 h for a forecast horizon of 3 d and report an alert situation to decision makers. | es_ES |
| dc.description.sponsorship | We especially thank Carlos Ruiz del Portal Florido, Head of the Hydrological Planning Office, Hydrographic Confederation of Miño-Sil River for helpful discussions and for providing access to real data within the context of INTERREG-POCTEP Programme project RISC_ML (Code: 0034_RISC_ML_6_E). This work was partially supported by the Water JPI-WaterWorks Programme under project Improving Drought and Flood Early Warning, Forecasting and Mitigation (IMDROFLOOD, code: PCIN-2015-243) and by Xunta de Galicia under project ED431C 2017/64-GRC “Programa de Consolidación e Estructuración de Unidades de Investigación Competitivas (Grupos de Referencia Competitiva)”. | es_ES |
| dc.description.sponsorship | European Regional Development Fund (ERDF); 0034_RISC_ML_6_E | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431C 2017/64-GRC | es_ES |
| dc.identifier.citation | González-Cao, J., García-Feal, O., Fernández-Nóvoa, D., Domínguez-Alonso, J. M., & Gómez-Gesteira, M. (2019). Towards an automatic early warning system of flood hazards based on precipitation forecast: the case of the Miño River (NW Spain). Natural Hazards and Earth System Sciences, 19(11), 2583-2595. https://doi.org/10.5194/NHESS-19-2583-2019 | es_ES |
| dc.identifier.doi | 10.5194/NHESS-19-2583-2019 | |
| dc.identifier.uri | http://hdl.handle.net/2183/39535 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | European Geosciences Union | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/PCIN-2015-243/ES/MEJORA DE LA PREDICCION, ALERTA TEMPRANA Y MITIGACION DE SEQUIAS E INUNDACIONES UTILIZANDO INDICADORES HIDROCLIMATICOS EN TIEMPO REAL | es_ES |
| dc.relation.uri | https://doi.org/10.5194/NHESS-19-2583-2019 | es_ES |
| dc.rights | Atribución 3.0 España | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
| dc.subject | Early-warning system | es_ES |
| dc.subject | EWS | es_ES |
| dc.subject | Flood prediction | es_ES |
| dc.title | Towards an automatic early warning system of flood hazards based on precipitation forecast: the case of the Miño River (NW Spain) | es_ES |
| dc.type | journal article | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | b3a961d8-cb6a-45d2-8973-b41bf99fc637 | |
| relation.isAuthorOfPublication.latestForDiscovery | b3a961d8-cb6a-45d2-8973-b41bf99fc637 |
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