FLUMEN - Dinàmica Fluvial i Enginyeria Hidrològicahttp://hdl.handle.net/2117/32572024-03-19T13:48:12Z2024-03-19T13:48:12ZNormas de explotación y planes de emergencia de presas. Experiencia empresa hidroeléctricaFélez Gutiérrez, Luis EduardoBuil Sanz, Juan Manuelhttp://hdl.handle.net/2117/3975182023-12-01T10:40:19Z2023-12-01T10:33:18ZNormas de explotación y planes de emergencia de presas. Experiencia empresa hidroeléctrica
Félez Gutiérrez, Luis Eduardo; Buil Sanz, Juan Manuel
2023-12-01T10:33:18ZFélez Gutiérrez, Luis EduardoBuil Sanz, Juan ManuelPresa y central de Caruachi (Venezuela). Diseño y ensayos de las compuertas para las maniobras de desvío y cierreAbadía, FernandoQuintero, FranciscoSánchez Juny, MartíDolz Ripollès, Josephttp://hdl.handle.net/2117/3975162023-12-01T10:30:21Z2023-12-01T10:22:07ZPresa y central de Caruachi (Venezuela). Diseño y ensayos de las compuertas para las maniobras de desvío y cierre
Abadía, Fernando; Quintero, Francisco; Sánchez Juny, Martí; Dolz Ripollès, Josep
El proyecto hidroeléctrico de Caruachi (Venezuela), incorpora una de-licada maniobra de desvío del río a través de 18 conductos de 9 x 5,5 mts en la parte inferior del aliviadero. En la última etapa de este proyecto estos conductos deben cerrarse mediante compuertas vagón, el caudal en los últimos conductos y en el momento del cierre alcanzará los 1.000 m3/s y la velocidad del agua en los mismos llegará a 20 m/s. Bajo estos parámetros han debido ser diseñadas y ensayadas las mencionadas compuertas. El proyecto y diseño ha sido realizado por empresas españolas y el ensayo en modelo ha sido realizado en el departamento de ingeniería hidráulica marítima y ambiental de la UPC.
2023-12-01T10:22:07ZAbadía, FernandoQuintero, FranciscoSánchez Juny, MartíDolz Ripollès, JosepEl proyecto hidroeléctrico de Caruachi (Venezuela), incorpora una de-licada maniobra de desvío del río a través de 18 conductos de 9 x 5,5 mts en la parte inferior del aliviadero. En la última etapa de este proyecto estos conductos deben cerrarse mediante compuertas vagón, el caudal en los últimos conductos y en el momento del cierre alcanzará los 1.000 m3/s y la velocidad del agua en los mismos llegará a 20 m/s. Bajo estos parámetros han debido ser diseñadas y ensayadas las mencionadas compuertas. El proyecto y diseño ha sido realizado por empresas españolas y el ensayo en modelo ha sido realizado en el departamento de ingeniería hidráulica marítima y ambiental de la UPC.La presa de la Llosa del Cavall. Estudio en modelo reducido del funcionamiento hidráulico del aliviadero y del cuenco reparadorDolz Ripollès, JosepBerga Casafont, LuisDa Costa Pereira, Mariohttp://hdl.handle.net/2117/3908532023-07-14T09:20:25Z2023-07-14T09:11:06ZLa presa de la Llosa del Cavall. Estudio en modelo reducido del funcionamiento hidráulico del aliviadero y del cuenco reparador
Dolz Ripollès, Josep; Berga Casafont, Luis; Da Costa Pereira, Mario
En esta comunicación se presentan los resultados obtenidos en el estudio en modelo reducido del aliviadero y cuenco amortiguador de la presa de La Llosa del Cavall, que actualmente se construye en el río Cardener (principal afluente del Llobregat). Se trata de una presa bóveda de 122 m de altura y que embalsa 80 Hm3.
El caudal punta correspondiente a una avenida de 500 años de periodo de retorno (una vez laminada por el embalse) es de 473 m3/s. Este caudal debe ser desaguado mediante un vertido libre por coronación, realizado a través de un aliviadero sin compuertas de cuatro vanos de 12 m de longitud cada uno. El vertido se produce sobre un cuenco amortiguador de 55 m de longitud y cuyo azud tiene una altura de 12 m.
Se construyó un modelo reducido a escala 1:50 que permitió estudiar el comportamiento hidraúlico del aliviadero (flujo de aproximación y curva de gasto), la geometría de la lámina vertiente, las presiones en la solera y azud del cuenco,
cuenco, así como el comportamiento global de dicho cuenco amortiguador.
La realización de este estudio motivó el inicio de una línea de trabajo cuyo objeto es el análisis del campo
el análisis del campo de presiones fluctuantes que se crea en la solera del cuenco y en la contrapresa, en el vertido libre por coronación en presas bóveda.
2023-07-14T09:11:06ZDolz Ripollès, JosepBerga Casafont, LuisDa Costa Pereira, MarioEn esta comunicación se presentan los resultados obtenidos en el estudio en modelo reducido del aliviadero y cuenco amortiguador de la presa de La Llosa del Cavall, que actualmente se construye en el río Cardener (principal afluente del Llobregat). Se trata de una presa bóveda de 122 m de altura y que embalsa 80 Hm3.
El caudal punta correspondiente a una avenida de 500 años de periodo de retorno (una vez laminada por el embalse) es de 473 m3/s. Este caudal debe ser desaguado mediante un vertido libre por coronación, realizado a través de un aliviadero sin compuertas de cuatro vanos de 12 m de longitud cada uno. El vertido se produce sobre un cuenco amortiguador de 55 m de longitud y cuyo azud tiene una altura de 12 m.
Se construyó un modelo reducido a escala 1:50 que permitió estudiar el comportamiento hidraúlico del aliviadero (flujo de aproximación y curva de gasto), la geometría de la lámina vertiente, las presiones en la solera y azud del cuenco,
cuenco, así como el comportamiento global de dicho cuenco amortiguador.
La realización de este estudio motivó el inicio de una línea de trabajo cuyo objeto es el análisis del campo
el análisis del campo de presiones fluctuantes que se crea en la solera del cuenco y en la contrapresa, en el vertido libre por coronación en presas bóveda.IberWQ: new simulation tool for 2D water quality modelling in rivers and shallow estuariesCea Gómez, LuisBermúdez Hermida, Marta MaríaPuertas Agudo, JerónimoBladé i Castellet, ErnestCorestein, GeorginaEscolano Tercero, EnriqueConde Vázquez, AndréBockelmann Evans, B.Ahmadian, R.http://hdl.handle.net/2117/3858712023-04-09T18:24:11Z2023-04-03T17:01:13ZIberWQ: new simulation tool for 2D water quality modelling in rivers and shallow estuaries
Cea Gómez, Luis; Bermúdez Hermida, Marta María; Puertas Agudo, Jerónimo; Bladé i Castellet, Ernest; Corestein, Georgina; Escolano Tercero, Enrique; Conde Vázquez, André; Bockelmann Evans, B.; Ahmadian, R.
This paper presents a new freeware simulation tool (IberWQ) for 2D water quality modelling in rivers and non-stratified estuaries. The model computes the spatial and temporal evolution of several species and variables which are relevant for the evaluation of the environmental status of rivers and estuaries, including: Escherichia coli, dissolved oxygen, carbonaceous biochemical oxygen demand, organic nitrogen, ammoniacal nitrogen, nitrate–nitrite nitrogen, water temperature and salinity. A depth-averaged transport equation is solved for each variable with a mass conservative unstructured finite volume solver. IberWQ is fully coupled to the hydrodynamic module of the software Iber, a freeware simulation tool for solving the 2D shallow water equations. Both models are integrated in the same windows graphical environment, including several tools which allow the user to generate unstructured meshes adapted to the site topography, define spatially variable input parameters and visualize model outputs. We present four application examples to illustrate the possibilities of the software for the dynamic simulation of water quality in rivers and estuaries.
2023-04-03T17:01:13ZCea Gómez, LuisBermúdez Hermida, Marta MaríaPuertas Agudo, JerónimoBladé i Castellet, ErnestCorestein, GeorginaEscolano Tercero, EnriqueConde Vázquez, AndréBockelmann Evans, B.Ahmadian, R.This paper presents a new freeware simulation tool (IberWQ) for 2D water quality modelling in rivers and non-stratified estuaries. The model computes the spatial and temporal evolution of several species and variables which are relevant for the evaluation of the environmental status of rivers and estuaries, including: Escherichia coli, dissolved oxygen, carbonaceous biochemical oxygen demand, organic nitrogen, ammoniacal nitrogen, nitrate–nitrite nitrogen, water temperature and salinity. A depth-averaged transport equation is solved for each variable with a mass conservative unstructured finite volume solver. IberWQ is fully coupled to the hydrodynamic module of the software Iber, a freeware simulation tool for solving the 2D shallow water equations. Both models are integrated in the same windows graphical environment, including several tools which allow the user to generate unstructured meshes adapted to the site topography, define spatially variable input parameters and visualize model outputs. We present four application examples to illustrate the possibilities of the software for the dynamic simulation of water quality in rivers and estuaries.Physical modeling of a stepped spillway without sidewallsEstrella Toral, SoledadSánchez Juny, MartíBladé i Castellet, ErnestDolz Ripollès, Josephttp://hdl.handle.net/2117/3744952023-02-05T08:09:12Z2022-10-17T14:27:05ZPhysical modeling of a stepped spillway without sidewalls
Estrella Toral, Soledad; Sánchez Juny, Martí; Bladé i Castellet, Ernest; Dolz Ripollès, Josep
The interest of a consulting company in designing stepped spillways in roller compacted concrete (RCC) dams led us to propose the possibility of building this type of spillway without sidewalls. Previous research on stepped spillways has focused on characterizing the complex hydraulic behavior of flow on these structures, as well as design criteria. Such studies have usually been conducted on stepped spillways with a constant width along the spillway, that is, with sidewalls. In the present work, we report the results of the physical modeling of a generic stepped spillway without sidewalls (slope 1v:0.8h). In general terms, the lack of sidewalls produces a lateral expansion of water and therefore a non-uniform longitudinal and transversal discharge distribution. Consequently, the flow type, characteristic water depth, velocity, air concentration, and pressure fields change along and across the spillway. The resulting data demonstrate that the distribution of the different variables studied depend on the specific discharge at the entrance and the spillway height
2022-10-17T14:27:05ZEstrella Toral, SoledadSánchez Juny, MartíBladé i Castellet, ErnestDolz Ripollès, JosepThe interest of a consulting company in designing stepped spillways in roller compacted concrete (RCC) dams led us to propose the possibility of building this type of spillway without sidewalls. Previous research on stepped spillways has focused on characterizing the complex hydraulic behavior of flow on these structures, as well as design criteria. Such studies have usually been conducted on stepped spillways with a constant width along the spillway, that is, with sidewalls. In the present work, we report the results of the physical modeling of a generic stepped spillway without sidewalls (slope 1v:0.8h). In general terms, the lack of sidewalls produces a lateral expansion of water and therefore a non-uniform longitudinal and transversal discharge distribution. Consequently, the flow type, characteristic water depth, velocity, air concentration, and pressure fields change along and across the spillway. The resulting data demonstrate that the distribution of the different variables studied depend on the specific discharge at the entrance and the spillway heightLarge wood transport-related flood risks analysis of Lourdes city using iber-wood modelQuiniou, MargauxPiton, GuillaumeRuiz-Villanueva, VirginiaPerrin, CédricSavatier, JérémyBladé i Castellet, Ernesthttp://hdl.handle.net/2117/3733012022-09-27T09:56:43Z2022-09-22T11:40:37ZLarge wood transport-related flood risks analysis of Lourdes city using iber-wood model
Quiniou, Margaux; Piton, Guillaume; Ruiz-Villanueva, Virginia; Perrin, Cédric; Savatier, Jérémy; Bladé i Castellet, Ernest
Large wood (LW) accumulations can cause several damages, especially if the recruited wood is transported during floods down to urban areas, like Lourdes (France). One of the most serious problems concerning bridges and weirs all around the world is the formation of LW accumulations, that might be responsible for the structure’s failure. However, the transport and deposition of LW during floods are very complex processes, which make predictions of these accumulations’ locations and potential impacts very challenging. Thus, reducing the LW-related risks is difficult. Thereby, we are conducting a study to assess the LW-related hazards by applying a numerical model of the Gave-de-Pau River. The software called Iber-Wood is a hydrodynamic model based on the 2D Saint Venant equations coupled to a wood dynamics module that simulates wood transport explicitly. It allows analyzing the LW accumulations’ formation, depending on several input parameters. The aim of this study was to simulate wood transport during floods, in order to identify the potential risks created by the formation of LW accumulations in Lourdes’ city center. The paper first proposes a framework to calibrate the parameters of LW-supply (flux and size of logs) based on the typical dataset available in France. It then presents a preliminary study of the 2D hydrodynamic model showing its potential to identify preferential storage areas and bridges prone to the formation of LW accumulations. The calibration phase of the model is not finished yet, but we can highlight some recommendations on LW-transport modelling from these early stage results.
2022-09-22T11:40:37ZQuiniou, MargauxPiton, GuillaumeRuiz-Villanueva, VirginiaPerrin, CédricSavatier, JérémyBladé i Castellet, ErnestLarge wood (LW) accumulations can cause several damages, especially if the recruited wood is transported during floods down to urban areas, like Lourdes (France). One of the most serious problems concerning bridges and weirs all around the world is the formation of LW accumulations, that might be responsible for the structure’s failure. However, the transport and deposition of LW during floods are very complex processes, which make predictions of these accumulations’ locations and potential impacts very challenging. Thus, reducing the LW-related risks is difficult. Thereby, we are conducting a study to assess the LW-related hazards by applying a numerical model of the Gave-de-Pau River. The software called Iber-Wood is a hydrodynamic model based on the 2D Saint Venant equations coupled to a wood dynamics module that simulates wood transport explicitly. It allows analyzing the LW accumulations’ formation, depending on several input parameters. The aim of this study was to simulate wood transport during floods, in order to identify the potential risks created by the formation of LW accumulations in Lourdes’ city center. The paper first proposes a framework to calibrate the parameters of LW-supply (flux and size of logs) based on the typical dataset available in France. It then presents a preliminary study of the 2D hydrodynamic model showing its potential to identify preferential storage areas and bridges prone to the formation of LW accumulations. The calibration phase of the model is not finished yet, but we can highlight some recommendations on LW-transport modelling from these early stage results.Iber v3: manual de referencia e interfaz de usuario de las nuevas implementacionesSanz Ramos, MarcosCea Gómez, LuisBladé i Castellet, ErnestLopez Gomez, DavidSañudo Costoya, EstebanCorestein Poupeau, GeorginaGarcía Alén, GonzaloAragón Hernández, José Luishttp://hdl.handle.net/2117/3723392022-11-20T05:04:00Z2022-09-06T14:06:27ZIber v3: manual de referencia e interfaz de usuario de las nuevas implementaciones
Sanz Ramos, Marcos; Cea Gómez, Luis; Bladé i Castellet, Ernest; Lopez Gomez, David; Sañudo Costoya, Esteban; Corestein Poupeau, Georgina; García Alén, Gonzalo; Aragón Hernández, José Luis
Iber is a two-dimensional hydraulic model for the simulation of free surface flow in rivers and estuaries, and the simulation of environmental processes in fluvial hydraulics. Since the release of the first version of Iber, which included a hydrodynamic calculation engine fully coupled with sediment transport processes and turbulence, it has evolved to become a free surface flow modelling tool for highly complex environmental processes. This document presents the developments made for version 3, where the advances are applied mainly in four current research lines: a new urban drainage module, a significant advance in the capabilities of the hydrological process module, a new soil erosion module, and a new module for calculating sediment transport considering non-uniform material (mixtures). Likewise, all the work has been accompanied by a cross-cutting task of improving the interface, both for existing modules and the creation of new windows and menus for new modules aiming to improve the whole workflow.
2022-09-06T14:06:27ZSanz Ramos, MarcosCea Gómez, LuisBladé i Castellet, ErnestLopez Gomez, DavidSañudo Costoya, EstebanCorestein Poupeau, GeorginaGarcía Alén, GonzaloAragón Hernández, José LuisIber is a two-dimensional hydraulic model for the simulation of free surface flow in rivers and estuaries, and the simulation of environmental processes in fluvial hydraulics. Since the release of the first version of Iber, which included a hydrodynamic calculation engine fully coupled with sediment transport processes and turbulence, it has evolved to become a free surface flow modelling tool for highly complex environmental processes. This document presents the developments made for version 3, where the advances are applied mainly in four current research lines: a new urban drainage module, a significant advance in the capabilities of the hydrological process module, a new soil erosion module, and a new module for calculating sediment transport considering non-uniform material (mixtures). Likewise, all the work has been accompanied by a cross-cutting task of improving the interface, both for existing modules and the creation of new windows and menus for new modules aiming to improve the whole workflow.A machine learning-based surrogate model for the identification of risk zones due to off-stream reservoir failureSilva Cancino, NathaliaSalazar González, FernandoSanz Ramos, MarcosBladé i Castellet, Ernesthttp://hdl.handle.net/2117/3717762023-10-15T06:54:12Z2022-08-24T15:21:38ZA machine learning-based surrogate model for the identification of risk zones due to off-stream reservoir failure
Silva Cancino, Nathalia; Salazar González, Fernando; Sanz Ramos, Marcos; Bladé i Castellet, Ernest
Approximately 70,000 Spanish off-stream reservoirs, many of them irrigation ponds, need to be evaluated in terms of their potential hazard to comply with the new national Regulation of the Hydraulic Public Domain. This requires a great engineering effort to evaluate different scenarios with two-dimensional hydraulic models, for which many owners lack the necessary resources. This work presents a simplified methodology based on machine learning to identify risk zones at any point in the vicinity of an off-stream reservoir without the need to elaborate and run full two-dimensional hydraulic models. A predictive model based on random forest was created from datasets including the results of synthetic cases computed with an automatic tool based on the two-dimensional numerical software Iber. Once fitted, the model provided an estimate on the potential hazard considering the physical characteristics of the structure, the surrounding terrain and the vulnerable locations. Two approaches were compared for balancing the dataset: the synthetic minority oversampling and the random undersampling. Results from the random forest model adjusted with the random undersampling technique showed to be useful for the estimation of risk zones. On a real application test the simplified method achieved 91% accuracy.
2022-08-24T15:21:38ZSilva Cancino, NathaliaSalazar González, FernandoSanz Ramos, MarcosBladé i Castellet, ErnestApproximately 70,000 Spanish off-stream reservoirs, many of them irrigation ponds, need to be evaluated in terms of their potential hazard to comply with the new national Regulation of the Hydraulic Public Domain. This requires a great engineering effort to evaluate different scenarios with two-dimensional hydraulic models, for which many owners lack the necessary resources. This work presents a simplified methodology based on machine learning to identify risk zones at any point in the vicinity of an off-stream reservoir without the need to elaborate and run full two-dimensional hydraulic models. A predictive model based on random forest was created from datasets including the results of synthetic cases computed with an automatic tool based on the two-dimensional numerical software Iber. Once fitted, the model provided an estimate on the potential hazard considering the physical characteristics of the structure, the surrounding terrain and the vulnerable locations. Two approaches were compared for balancing the dataset: the synthetic minority oversampling and the random undersampling. Results from the random forest model adjusted with the random undersampling technique showed to be useful for the estimation of risk zones. On a real application test the simplified method achieved 91% accuracy.Extension of 2D shallow water models to hydrological modellingCea, LuisBladé i Castellet, ErnestGarcía Feal, OrlandoSanz Ramos, MarcosGómez Gesteira, MonchoFarfán Durán, Juan Fernandohttp://hdl.handle.net/2117/3713982022-11-20T06:02:27Z2022-07-27T15:43:39ZExtension of 2D shallow water models to hydrological modelling
Cea, Luis; Bladé i Castellet, Ernest; García Feal, Orlando; Sanz Ramos, Marcos; Gómez Gesteira, Moncho; Farfán Durán, Juan Fernando
In this paper we discuss some critical aspects that should be considered in order to extend and apply a numerical model based on the 2D shallow water equations(2D-SWE) to distributed hydrological modelling. We also detail the physical processes, numerical methods and High Performance Computing(HPC) techniques that have been implemented in the freely available software Iber, to enable its application to rainfall-runoff transformation and propagation at the catchment scale.The original version of Iber is coded in Fortran and it implements an unstructured finite volume solver for the 2D depth-averaged shallowwater equations to model open channel flow in rivers and is therefore representative of many 2D free surface flow models. Hydrological processes as infiltration, evapotranspiration, percolation and groundwater flow were implemented in the last version of the software. Specific numerical schemes for the discretization of the 2D-SWE in surface runoff applications were also included in the solver. A HPC version of the solver (Iber+) coded in C++ and parallelized for CPU using OpenMP and for GPU using Nvidia CUDA was also developed. After describing briefly those implementations, we present the validation of the model in two laboratory configurations, and its application to three real catchments.
2022-07-27T15:43:39ZCea, LuisBladé i Castellet, ErnestGarcía Feal, OrlandoSanz Ramos, MarcosGómez Gesteira, MonchoFarfán Durán, Juan FernandoIn this paper we discuss some critical aspects that should be considered in order to extend and apply a numerical model based on the 2D shallow water equations(2D-SWE) to distributed hydrological modelling. We also detail the physical processes, numerical methods and High Performance Computing(HPC) techniques that have been implemented in the freely available software Iber, to enable its application to rainfall-runoff transformation and propagation at the catchment scale.The original version of Iber is coded in Fortran and it implements an unstructured finite volume solver for the 2D depth-averaged shallowwater equations to model open channel flow in rivers and is therefore representative of many 2D free surface flow models. Hydrological processes as infiltration, evapotranspiration, percolation and groundwater flow were implemented in the last version of the software. Specific numerical schemes for the discretization of the 2D-SWE in surface runoff applications were also included in the solver. A HPC version of the solver (Iber+) coded in C++ and parallelized for CPU using OpenMP and for GPU using Nvidia CUDA was also developed. After describing briefly those implementations, we present the validation of the model in two laboratory configurations, and its application to three real catchments.A machine learning-based surrogate model for the identification of risk zones due to off-stream reservoir failureSilva Cancino, NathaliaSalazar González, FernandoSanz Ramos, MarcosBladé i Castellet, Ernesthttp://hdl.handle.net/2117/3713972023-10-15T07:12:59Z2022-07-27T15:41:04ZA machine learning-based surrogate model for the identification of risk zones due to off-stream reservoir failure
Silva Cancino, Nathalia; Salazar González, Fernando; Sanz Ramos, Marcos; Bladé i Castellet, Ernest
With the modification of the Regulations of the Hydraulic Public Domain of Spain in 2008, approximately 70.000 owners of off-stream reservoirs are obligated to present a classification assessment on the potential risk due to failure, which requires complex procedures. This work proposes a simplified methodology based on Machine Learning, which allows identifying risk zones at any point at the affected area based on the physical characteristics of the reservoir and the surrounding terrain. Random Forest algorithm is applied to two datasets generated with synthetic cases designed and modelled in Iber. Two methods were tested for balancing the datasets: synthetic minority over-sampling and random under-sampling. Results show high accuracy on both models, although the Random Forest model adjusted with random under-sampling presented better results for the estimation of risk zones. In conclusion, this work found that the simplified method based on Machine Learning can be a useful tool to owners and government administrations, having an equally reliable estimation than current methods and reducing the computational time and resources.
2022-07-27T15:41:04ZSilva Cancino, NathaliaSalazar González, FernandoSanz Ramos, MarcosBladé i Castellet, ErnestWith the modification of the Regulations of the Hydraulic Public Domain of Spain in 2008, approximately 70.000 owners of off-stream reservoirs are obligated to present a classification assessment on the potential risk due to failure, which requires complex procedures. This work proposes a simplified methodology based on Machine Learning, which allows identifying risk zones at any point at the affected area based on the physical characteristics of the reservoir and the surrounding terrain. Random Forest algorithm is applied to two datasets generated with synthetic cases designed and modelled in Iber. Two methods were tested for balancing the datasets: synthetic minority over-sampling and random under-sampling. Results show high accuracy on both models, although the Random Forest model adjusted with random under-sampling presented better results for the estimation of risk zones. In conclusion, this work found that the simplified method based on Machine Learning can be a useful tool to owners and government administrations, having an equally reliable estimation than current methods and reducing the computational time and resources.