Bibliographic citations
Gonzalez, A., (2023). Modelación hidrológica para pronóstico de inundaciones de la cuenca Hers-mort, Toulouse-Francia, mediante la plataforma PLATHYNES [Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/6357
Gonzalez, A., Modelación hidrológica para pronóstico de inundaciones de la cuenca Hers-mort, Toulouse-Francia, mediante la plataforma PLATHYNES []. PE: Universidad Nacional Agraria La Molina; 2023. https://hdl.handle.net/20.500.12996/6357
@misc{renati/246116,
title = "Modelación hidrológica para pronóstico de inundaciones de la cuenca Hers-mort, Toulouse-Francia, mediante la plataforma PLATHYNES",
author = "Gonzalez Alfaro, Alexander Eduardo",
publisher = "Universidad Nacional Agraria La Molina",
year = "2023"
}
This study was realized in the Garonne, Tarn, and Lot Flood Forecasting Service (Service de Prévision des Crues Garonne Tarn Lot -SPC GTL) and its aims was to improve knowledge and flood forecast on this watershed. SPC initiated action to enforce a hydrology/hydraulic mixed model on the whole Baziège-Pont de Périole line. The forecast in Pont de Périole is indeed explained, both by the propagation of the flood wave, formed in the upstream, and by, the contribution of the subwatershed (contribution of the Saune and the Marcaissonne). A distributed modelling was considered because the physical characteristics and the watershed precipitations are heterogenous. SCS-LR and MARINE models were used through PLATHYNES interface. Different configurations of the models were tested. Once calibrated, the models were evaluated thanks to performance criteria. Modelling with PLATHYNES highlighted the gain of performance for very localized rainy events, as storms. The hydraulic model was realized with MASCARET tool and QGIS. This helped us to calibrate the rating curve in Baziège's upstream station on the Hers Mort River, and, fix Strickler coefficients, as the steady-state simulation on the first section, allowed us to see how a high flow (200 m3 /s) can or cannot cause waterfloods.
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