Ponències/Comunicacions de congressoshttp://hdl.handle.net/2117/38592024-03-29T00:45:28Z2024-03-29T00:45:28ZMedidas de velocidades con PTV en cauces de alta pendienteMarin-Esteve, BlancaBateman Pinzón, AllenSosa Pérez, Raulhttp://hdl.handle.net/2117/3690282023-10-29T03:58:00Z2022-06-22T16:07:00ZMedidas de velocidades con PTV en cauces de alta pendiente
Marin-Esteve, Blanca; Bateman Pinzón, Allen; Sosa Pérez, Raul
Esta investigación se centra en validar y definir la metodología Particle Tracking Velocimetry (PTV) para la medición de perfiles de velocidades en flujos de alta pendiente, con sumergencias relativas (Rn/D50) muy bajas. Para tal fin se realizan mediciones en un canal de pendiente variable con PTV y con una metodología previamente contrastada por Fernández (2019) mediante Velocímetro Acústico Doppler (ADV). Una vez validada se procede a corroborar la aplicación del PTV en flujos macro rugosos, en los que ADV no puede ser utilizado.
2022-06-22T16:07:00ZMarin-Esteve, BlancaBateman Pinzón, AllenSosa Pérez, RaulEsta investigación se centra en validar y definir la metodología Particle Tracking Velocimetry (PTV) para la medición de perfiles de velocidades en flujos de alta pendiente, con sumergencias relativas (Rn/D50) muy bajas. Para tal fin se realizan mediciones en un canal de pendiente variable con PTV y con una metodología previamente contrastada por Fernández (2019) mediante Velocímetro Acústico Doppler (ADV). Una vez validada se procede a corroborar la aplicación del PTV en flujos macro rugosos, en los que ADV no puede ser utilizado.Determinando umbral de interacción entre el río Magdalena y la Ciénaga Grande de Santa MartaGómez Dueñas, SantiagoBateman Pinzón, AllenSantos Granados, Germán Ricardohttp://hdl.handle.net/2117/3690252023-11-12T01:05:41Z2022-06-22T15:18:12ZDeterminando umbral de interacción entre el río Magdalena y la Ciénaga Grande de Santa Marta
Gómez Dueñas, Santiago; Bateman Pinzón, Allen; Santos Granados, Germán Ricardo
The Ciénaga Grande de Santa Marta (CGSM) is a coastal complex in northern Colombia comprising interconnected lagoons, bounded by the Magdalena River (RM) and the Caribbean Sea. It is a system of great ecological, economic and ecosystemic wealth, so it has been declared an area of protection by different international organizations. However, its quality has gradually deteriorated due to multiple factors obstructing the connection channels between the RM and the CGSM. That led to hypersaline lagoons, as the Caribbean makes up for the missing volume. Solutions have focused on opening new channels or expanding existing ones that connect the CGSM with the RM, yet the problems have not stopped. This research calls to guarantee a minimum flow rate and a gradient so that the flow is effectively carried out in the desired direction and not in the opposite direction. That by analyzing the flow series in the lower basin for different contexts, both temporal and ENSO events.
2022-06-22T15:18:12ZGómez Dueñas, SantiagoBateman Pinzón, AllenSantos Granados, Germán RicardoThe Ciénaga Grande de Santa Marta (CGSM) is a coastal complex in northern Colombia comprising interconnected lagoons, bounded by the Magdalena River (RM) and the Caribbean Sea. It is a system of great ecological, economic and ecosystemic wealth, so it has been declared an area of protection by different international organizations. However, its quality has gradually deteriorated due to multiple factors obstructing the connection channels between the RM and the CGSM. That led to hypersaline lagoons, as the Caribbean makes up for the missing volume. Solutions have focused on opening new channels or expanding existing ones that connect the CGSM with the RM, yet the problems have not stopped. This research calls to guarantee a minimum flow rate and a gradient so that the flow is effectively carried out in the desired direction and not in the opposite direction. That by analyzing the flow series in the lower basin for different contexts, both temporal and ENSO events.Predicción probabilística de hidrogramas de avenida y de volúmenes de aportación a embalsesRodríguez Ramos, ÁlvaroCorral Alexandri, CarlesBarbero Lartigau, CarlosLlort Pavon, XavierBerenguer Ferrer, MarcSempere Torres, Danielhttp://hdl.handle.net/2117/3561732022-08-07T10:26:01Z2021-11-11T14:03:26ZPredicción probabilística de hidrogramas de avenida y de volúmenes de aportación a embalses
Rodríguez Ramos, Álvaro; Corral Alexandri, Carles; Barbero Lartigau, Carlos; Llort Pavon, Xavier; Berenguer Ferrer, Marc; Sempere Torres, Daniel
La Agència Catalana de l’Aigua (ACA) está promoviendo el desarrollo de una herramienta para disponer de predicciones probabilísticas de caudales, en estaciones de aforo, y de evolución de volúmenes, en embalses. Esta herramienta se plantea como un elemento adicional a ser integrado en el conjunto de recursos para la ayuda a la toma de decisiones durante el seguimiento, gestión y tareas de comunicación propias de situaciones de avenidas, tanto en cuencas reguladas por embalses como no reguladas. El conocimiento previo de la variación de niveles en embalses y caudales máximos puntuales en estaciones de aforo se pretenden conjugar para analizar la conveniencia de generar avisos y/o resguardos activos mediante unos oportunos desembalses preventivos. El objetivo principal es la gestión óptima del recurso hídrico optimizando resguardos de laminación y la mejora en la gestión de la seguridad de las presas y en la reducción de riesgos por inundación.
2021-11-11T14:03:26ZRodríguez Ramos, ÁlvaroCorral Alexandri, CarlesBarbero Lartigau, CarlosLlort Pavon, XavierBerenguer Ferrer, MarcSempere Torres, DanielLa Agència Catalana de l’Aigua (ACA) está promoviendo el desarrollo de una herramienta para disponer de predicciones probabilísticas de caudales, en estaciones de aforo, y de evolución de volúmenes, en embalses. Esta herramienta se plantea como un elemento adicional a ser integrado en el conjunto de recursos para la ayuda a la toma de decisiones durante el seguimiento, gestión y tareas de comunicación propias de situaciones de avenidas, tanto en cuencas reguladas por embalses como no reguladas. El conocimiento previo de la variación de niveles en embalses y caudales máximos puntuales en estaciones de aforo se pretenden conjugar para analizar la conveniencia de generar avisos y/o resguardos activos mediante unos oportunos desembalses preventivos. El objetivo principal es la gestión óptima del recurso hídrico optimizando resguardos de laminación y la mejora en la gestión de la seguridad de las presas y en la reducción de riesgos por inundación.Debris-flow early warning system at regional scale using weather radar and susceptibility mappingPalau Berastegui, Rosa MariaHurlimann Ziegler, MarcelBerenguer Ferrer, MarcSempere Torres, Danielhttp://hdl.handle.net/2117/1662672022-05-17T12:11:41Z2019-07-16T09:46:08ZDebris-flow early warning system at regional scale using weather radar and susceptibility mapping
Palau Berastegui, Rosa Maria; Hurlimann Ziegler, Marcel; Berenguer Ferrer, Marc; Sempere Torres, Daniel
Risk mitigation for debris flows at regional scale is a challenge. Early warning systems are helpful in depicting the time and the location of future debris flows so that emergency responders can act in advance before the disaster takes place. Herein we present a prototype real-time regional early warning system for rainfall induced shallow landslides and debris flows for the region of Catalonia (northeastern Spain). The model issues a warning level combining susceptibility information and real-time rainfall
triggering conditions obtained from weather radar observations and forecasts. Susceptibility maps have been derived using a fuzzy logic approach and two input variables, terrain slope and land cover. These maps have been obtained using (i) grid cells of different resolutions, and (ii) physical catchments (of first order) as terrain units. Although high resolution grid-cell maps show a more accurate representation of susceptibility over the region, maps based on catchments are more intuitive and better characterize the
area affected by future debris flows. Rainfall triggering conditions are assessed by means of probabilistic intensity-duration thresholds obtained from literature. Finally, we have validated the early warning system and tested its performance for some important events from the last ten years that were either monitored in specific catchments, or were reported in unmonitored catchments. In general, the system has been able to satisfactorily forecast the time of occurrence of most of the analyzed past debris flow events.
2019-07-16T09:46:08ZPalau Berastegui, Rosa MariaHurlimann Ziegler, MarcelBerenguer Ferrer, MarcSempere Torres, DanielRisk mitigation for debris flows at regional scale is a challenge. Early warning systems are helpful in depicting the time and the location of future debris flows so that emergency responders can act in advance before the disaster takes place. Herein we present a prototype real-time regional early warning system for rainfall induced shallow landslides and debris flows for the region of Catalonia (northeastern Spain). The model issues a warning level combining susceptibility information and real-time rainfall
triggering conditions obtained from weather radar observations and forecasts. Susceptibility maps have been derived using a fuzzy logic approach and two input variables, terrain slope and land cover. These maps have been obtained using (i) grid cells of different resolutions, and (ii) physical catchments (of first order) as terrain units. Although high resolution grid-cell maps show a more accurate representation of susceptibility over the region, maps based on catchments are more intuitive and better characterize the
area affected by future debris flows. Rainfall triggering conditions are assessed by means of probabilistic intensity-duration thresholds obtained from literature. Finally, we have validated the early warning system and tested its performance for some important events from the last ten years that were either monitored in specific catchments, or were reported in unmonitored catchments. In general, the system has been able to satisfactorily forecast the time of occurrence of most of the analyzed past debris flow events.Validation of a new multiclass mesoscopic simulator based on individual vehicles for dynamic network loadingLinares Herreros, María PazCarmona Bautista, CarlosBarceló Bugeda, JaimeMontañola Sales, Cristinahttp://hdl.handle.net/2117/1224652020-07-23T20:11:53Z2018-10-17T12:00:57ZValidation of a new multiclass mesoscopic simulator based on individual vehicles for dynamic network loading
Linares Herreros, María Paz; Carmona Bautista, Carlos; Barceló Bugeda, Jaime; Montañola Sales, Cristina
The dynamic network loading problem is crucial for performing dynamic traffic assignment. It must reproduce the network flow propagation, while taking into account the time and a variable traffic demand on each path of the network. In this paper, we consider a simulation-based approach for dynamic network loading as the best-suited option. We present a multiclass multilane dynamic network loading model based on a mesoscopic scheme that uses a continuous-time link-based approach with a complete demand discretization. In order to demonstrate the correctness of the model, we computationally validate the proposed simulation model using a variety of laboratory tests. The obtained results look promising, showing the model's ability to reproduce multilane multiclass traffic behaviors for medium-size urban networks.
2018-10-17T12:00:57ZLinares Herreros, María PazCarmona Bautista, CarlosBarceló Bugeda, JaimeMontañola Sales, CristinaThe dynamic network loading problem is crucial for performing dynamic traffic assignment. It must reproduce the network flow propagation, while taking into account the time and a variable traffic demand on each path of the network. In this paper, we consider a simulation-based approach for dynamic network loading as the best-suited option. We present a multiclass multilane dynamic network loading model based on a mesoscopic scheme that uses a continuous-time link-based approach with a complete demand discretization. In order to demonstrate the correctness of the model, we computationally validate the proposed simulation model using a variety of laboratory tests. The obtained results look promising, showing the model's ability to reproduce multilane multiclass traffic behaviors for medium-size urban networks.Sistema de alerta para procesos torrenciales a escala regional combinando mapas de susceptibilidad y datos del radar meteorológicoHurlimann Ziegler, MarcelBerenguer Ferrer, MarcPalau, Rosa M.Sempere Torres, Danielhttp://hdl.handle.net/2117/1071082020-07-23T21:31:57Z2017-08-22T11:43:38ZSistema de alerta para procesos torrenciales a escala regional combinando mapas de susceptibilidad y datos del radar meteorológico
Hurlimann Ziegler, Marcel; Berenguer Ferrer, Marc; Palau, Rosa M.; Sempere Torres, Daniel
Los procesos torrenciales como las corrientes de derrubios o flujos hiperconcentrados causan frecuentemente daños importantes e incluso muertos en zonas montañosas. Para afrontar este peligro, los sistemas de alerta son una herramienta muy útil en la mitigación de los impactos de estos procesos hidro-morfológicos. El presente estudio ha desarrollado, implementado y validado un sistema de alerta a escala regional que determina en tiempo real el nivel de alerta en cada subcuenca de una zona seleccionada. Los principales datos de entrada son un mapa de susceptibilidad y la situación meteorológica que se obtiene mediante el radar. Mediante la aplicación de la técnica de lógica difusa y funciones de pertenencia, el mapa de susceptibilidad y el campo de lluvia se determina en cada subcuenca una de tres posibles clases, y finalmente con una matriz de alerta se calcula uno de los tres niveles de alerta (baja, media o alta). Los resultados del sistema de alerta y su validación han sido muy positivos y demuestran la gran utilidad de estas herramientas.
2017-08-22T11:43:38ZHurlimann Ziegler, MarcelBerenguer Ferrer, MarcPalau, Rosa M.Sempere Torres, DanielLos procesos torrenciales como las corrientes de derrubios o flujos hiperconcentrados causan frecuentemente daños importantes e incluso muertos en zonas montañosas. Para afrontar este peligro, los sistemas de alerta son una herramienta muy útil en la mitigación de los impactos de estos procesos hidro-morfológicos. El presente estudio ha desarrollado, implementado y validado un sistema de alerta a escala regional que determina en tiempo real el nivel de alerta en cada subcuenca de una zona seleccionada. Los principales datos de entrada son un mapa de susceptibilidad y la situación meteorológica que se obtiene mediante el radar. Mediante la aplicación de la técnica de lógica difusa y funciones de pertenencia, el mapa de susceptibilidad y el campo de lluvia se determina en cada subcuenca una de tres posibles clases, y finalmente con una matriz de alerta se calcula uno de los tres niveles de alerta (baja, media o alta). Los resultados del sistema de alerta y su validación han sido muy positivos y demuestran la gran utilidad de estas herramientas.A water availability prediction system for water managementLlort Pavon, XavierRodríguez, ÁlvaroSancho, DavidSánchez-Diezma Guijarro, RafaelCangròs Alonso, ArnauMuñoz Morillo, EstebanBerenguer Ferrer, MarcSempere Torres, Danielhttp://hdl.handle.net/2117/770922020-07-23T21:51:48Z2015-09-25T10:49:32ZA water availability prediction system for water management
Llort Pavon, Xavier; Rodríguez, Álvaro; Sancho, David; Sánchez-Diezma Guijarro, Rafael; Cangròs Alonso, Arnau; Muñoz Morillo, Esteban; Berenguer Ferrer, Marc; Sempere Torres, Daniel
In this work we present a Water Availability Prediction System [WAPS] developed and implemented within two EU-FP7 projects: UrbanWater and WatERP. The aim of the WAPS is to provide information for management purposes, and as a source of information for other modules of the Decision Support Systems integrating the project platforms.
General description of the WAPS, including data sources needed, processing algorithms and techniques used, and implementation examples are presented.
2015-09-25T10:49:32ZLlort Pavon, XavierRodríguez, ÁlvaroSancho, DavidSánchez-Diezma Guijarro, RafaelCangròs Alonso, ArnauMuñoz Morillo, EstebanBerenguer Ferrer, MarcSempere Torres, DanielIn this work we present a Water Availability Prediction System [WAPS] developed and implemented within two EU-FP7 projects: UrbanWater and WatERP. The aim of the WAPS is to provide information for management purposes, and as a source of information for other modules of the Decision Support Systems integrating the project platforms.
General description of the WAPS, including data sources needed, processing algorithms and techniques used, and implementation examples are presented.Skill in nowcasting high-impact heavy precipitation eventsBech, JoanBerenguer Ferrer, Marchttp://hdl.handle.net/2117/240522020-07-23T22:14:09Z2014-09-15T12:23:34ZSkill in nowcasting high-impact heavy precipitation events
Bech, Joan; Berenguer Ferrer, Marc
The objective of this study is to assess the skill of a precipitation nowcasting (very short range forecasting) system, with particular emphasis on hig-impact Heavy Precipitation Events (HPE). A threshold amount of 20 mm in 30 minutes is
adopted, according to the first warning level issued for high rainfall rates by the Meteorological Service of Catalonia (NE Spain). These type of events are relatively frequent during autumn in the Mediterranean area and may produce flash-floods and substantial socio-economic losses when affecting densely populated areas in small catchments near the coast. Moreover, they can also produce local damage due to severe weather induced by winds of convective origin such as tornadoes or microbursts. Therefore, under these circumstances nowcasting systems producing very-short range (<3h) quantitative
precipitation forecasts (QPF) are particularly necessary.
Recent studies have pointed out the benefits of combining or blending the information from radar-based nowcasting
systems and high resolution Numerical Weather Prediction (NWP) models to fill the gap between the lead-times of forecasts provided by each type of system - see for example Atencia et al. (2010), Berenguer et al. (2012) or the review by Pierce et al. (2012). Here we focus on assessing the quality of precipitation forecasts to examine realistic lead-times provided in four selected cases (see Table 1) for different precipitation amounts. The evaluation is done in two ways. Firstly forecasts are compared against radar based Quantitative Precipitation Estimates (QPE). Secondly the QPF fields are compared against
actual raingauge data. Results are presented for all events together and for individual cases.
2014-09-15T12:23:34ZBech, JoanBerenguer Ferrer, MarcThe objective of this study is to assess the skill of a precipitation nowcasting (very short range forecasting) system, with particular emphasis on hig-impact Heavy Precipitation Events (HPE). A threshold amount of 20 mm in 30 minutes is
adopted, according to the first warning level issued for high rainfall rates by the Meteorological Service of Catalonia (NE Spain). These type of events are relatively frequent during autumn in the Mediterranean area and may produce flash-floods and substantial socio-economic losses when affecting densely populated areas in small catchments near the coast. Moreover, they can also produce local damage due to severe weather induced by winds of convective origin such as tornadoes or microbursts. Therefore, under these circumstances nowcasting systems producing very-short range (<3h) quantitative
precipitation forecasts (QPF) are particularly necessary.
Recent studies have pointed out the benefits of combining or blending the information from radar-based nowcasting
systems and high resolution Numerical Weather Prediction (NWP) models to fill the gap between the lead-times of forecasts provided by each type of system - see for example Atencia et al. (2010), Berenguer et al. (2012) or the review by Pierce et al. (2012). Here we focus on assessing the quality of precipitation forecasts to examine realistic lead-times provided in four selected cases (see Table 1) for different precipitation amounts. The evaluation is done in two ways. Firstly forecasts are compared against radar based Quantitative Precipitation Estimates (QPE). Secondly the QPF fields are compared against
actual raingauge data. Results are presented for all events together and for individual cases.The use of NWP forecasts to improve an ensemble nowcasting techniqueBuil Martínez, AlejandroBerenguer Ferrer, MarcSempere Torres, Danielhttp://hdl.handle.net/2117/240492020-07-23T21:31:33Z2014-09-12T10:58:36ZThe use of NWP forecasts to improve an ensemble nowcasting technique
Buil Martínez, Alejandro; Berenguer Ferrer, Marc; Sempere Torres, Daniel
Quantitative Precipitation Nowcasting (QPN) is one of the main applications of radar observations. On one hand, one of the most used nowcasting algorithms is Lagrangian extrapolation. It shows skill in specifying the timing and location of precipitation over short time periods, but shows low skill when using past precipitation trends to predict changes in precipitation intensity. On the other hand, Numerical Weather Prediction (NWP) models have roof skill at predicting the precise timing and location of precipitation, although they provide useful information about the intensity trends. It is therefore to investigate whether this additional information provided by NWP could be used to improve QPN.
SBMcast (Berenguer et al., 2011) is an ensemble nowcasting algorithm based on Lagrangian extrapolation of recent radar observations. It generates a set of future rainfall scenarios (ensemble members) compatible with observations and preserving the spatial and temporal structure of the rainfall field according to the String of Beads model (Pegram and Clothier, 2001).
This study shows the first results obtained with a methodology to constrain the spread of SBMcast ensembles with the additional information provided by NWP.
2014-09-12T10:58:36ZBuil Martínez, AlejandroBerenguer Ferrer, MarcSempere Torres, DanielQuantitative Precipitation Nowcasting (QPN) is one of the main applications of radar observations. On one hand, one of the most used nowcasting algorithms is Lagrangian extrapolation. It shows skill in specifying the timing and location of precipitation over short time periods, but shows low skill when using past precipitation trends to predict changes in precipitation intensity. On the other hand, Numerical Weather Prediction (NWP) models have roof skill at predicting the precise timing and location of precipitation, although they provide useful information about the intensity trends. It is therefore to investigate whether this additional information provided by NWP could be used to improve QPN.
SBMcast (Berenguer et al., 2011) is an ensemble nowcasting algorithm based on Lagrangian extrapolation of recent radar observations. It generates a set of future rainfall scenarios (ensemble members) compatible with observations and preserving the spatial and temporal structure of the rainfall field according to the String of Beads model (Pegram and Clothier, 2001).
This study shows the first results obtained with a methodology to constrain the spread of SBMcast ensembles with the additional information provided by NWP.WiBasin: basin management through an integrated platformLlort Pavon, XavierSánchez-Diezma Guijarro, RafaelSancho, DavidRodríguez, ÁlvaroBerenguer Ferrer, MarcSempere Torres, Danielhttp://hdl.handle.net/2117/236772020-07-23T23:27:24Z2014-08-26T08:05:51ZWiBasin: basin management through an integrated platform
Llort Pavon, Xavier; Sánchez-Diezma Guijarro, Rafael; Sancho, David; Rodríguez, Álvaro; Berenguer Ferrer, Marc; Sempere Torres, Daniel
In this work we present WiBasin, a cloud platform for basin and dam management. It includes different sources of precipitation (both observed and forecasted), integration over the catchment domain (to provide an aggregated value of potential rainfall accumulated over the basin) , and a complete dissemination environment (web-viewer, capability of issuing hazard warnings with configurable thresholds, SMS, mails, etc.)
2014-08-26T08:05:51ZLlort Pavon, XavierSánchez-Diezma Guijarro, RafaelSancho, DavidRodríguez, ÁlvaroBerenguer Ferrer, MarcSempere Torres, DanielIn this work we present WiBasin, a cloud platform for basin and dam management. It includes different sources of precipitation (both observed and forecasted), integration over the catchment domain (to provide an aggregated value of potential rainfall accumulated over the basin) , and a complete dissemination environment (web-viewer, capability of issuing hazard warnings with configurable thresholds, SMS, mails, etc.)