The UrbanFlood Common Information Space for Early Warning Systems

Baliś, Bartosz; Kasztelnik, Marek; Bubak, Marian; Bartyński, Tomasz; Gubała, Tomasz; Nowakowski, Piotr; Broekhuijsen, J.

doi:10.1016/j.procs.2011.04.011

Cited by 50 publications

(33 citation statements)

References 10 publications

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“…Hoy en día, inundaciones urbanas a nivel general [9][10] se pueden monitorear a través de un Sistema de Alertas Tempranas, sin embargo, en el caso de Barranquilla, teniendo en cuenta las condiciones hidrológicas anteriormente descritas, hace que sea particularmente agresivo y repentino, por lo que su estudio es de los pocos existentes a nivel mundial. En consecuencia este proyecto tiene la intención de diseñar una red piloto de sensores inalámbricos a lo largo de diferentes puntos del arroyo llamado "La Brigada", que permita monitorear en tiempo real parámetros hidrológicos, como la intensidad de lluvia, para que en una siguiente fase sean procesados y se emitan alertas a la comunidad sobre el estado del arroyo y permitan tomar decisiones oportunas.…”

Section: Una Red De Sensores Inalámbricos O Wsn (Wirelessunclassified

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Diseño de una red de sensores inalámbricos para la monitorización de inundaciones repentinas en la ciudad de Barranquilla, Colombia

Cama-Pinto

Acosta-Coll

Piñeres-Espitia

et al. 2016

Ingeniare. Rev. chil. ing.

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Section: Una Red De Sensores Inalámbricos O Wsn (Wirelessunclassified

“…A nivel general existen varios fenómenos o amenazas que son monitorizados a través de un SAT, entre las que se tiene: Inundaciones urbanas [9][10], terremotos costeros [24], escasez de agua en cuencas [25] erosión en montañas [26], seguridad en las minas [27], entre otros.…”

Section: Redes De Sensores Inalámbricos (Wsn) -En Sistema De Alertas unclassified

Diseño de una red de sensores inalámbricos para la monitorización de inundaciones repentinas en la ciudad de Barranquilla, Colombia

Cama-Pinto

Acosta-Coll

Piñeres-Espitia

et al. 2016

Ingeniare. Rev. chil. ing.

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“…Notable efforts such as the SPRUCE [12] project focus on enhancement of scheduling algorithms in order to acknowledge the presence of urgent tasks and provision the necessary computational and storage infrastructure to support said tasks. In the Common Information Space (CIS) platform [13] provided by the UrbanFlood early warning system [14] cloud services are used for on-demand deployment and autoscaling of warning system instances in emergency situations. The CLAVIRE platform [15] proposes a model-based approach to management of heterogeneous computing resources for urgent computing scenarios.…”

Section: Related Workmentioning

confidence: 99%

Dedicated IT infrastructure for Smart Levee Monitoring and Flood Decision Support

et al. 2016

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Abstract. Smart levees are being increasingly investigated as a flood protection technology. However, in large-scale emergency situations, a flood decision support system may need to collect and process data from hundreds of kilometers of smart levees; such a scenario requires a resilient and scalable IT infrastructure, capable of providing urgent computing services in order to perform frequent data analyses required in decision making, and deliver their results in a timely fashion. We present the ISMOP IT infrastructure for smart levee monitoring, designed to support decision making in large-scale emergency situations. Most existing approaches to urgent computing services in decision support systems dealing with natural disasters focus on delivering quality of service for individual, isolated subsystems of the IT infrastructure (such as computing, storage, or data transmission). We propose a holistic approach to dynamic system management during both urgent (emergency) and normal (non-emergency) operation. In this approach, we introduce a Holistic Computing Controller which calculates and deploys a globally optimal configuration for the entire IT infrastructure, based on cost-of-operation and quality-of-service (QoS) requirements of individual IT subsystems, expressed in the form of Service Level Agreements (SLAs). Our approach leads to improved configuration settings and, consequently, better fulfilment of the system's cost and QoS requirements than would have otherwise been possible had the configuration of all subsystems been managed in isolation.

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“…However, integrated monitoring systems not only allow the measurement, but also the transmission and recording of experimental data in a dedicated database or data-warehouse while some systems also do data processing and interpretation. Such systems have been developed, for example, in Denmark and the Netherlands, and are now being constructed in Poland as part of the Computer System of River Embankment Monitoring (Polish acronym -ISMOP) project, financed by NCBiR (Baliś et al 2011, Krzhizhanovskaya et al 2011, Pyayt et al 2012, Pengel et al 2013, Piórkowski & Leśniak 2014.…”

Section: Introductionmentioning

confidence: 99%

A Big Data processing strategy for hybrid interpretation of flood embankment multisensor data

Chuchro

Franczyk

Dwornik³

et al. 2016

geol

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Abstract:The assessment of flood embankments is a key component of a country's comprehensive flood protection. Proper and early information on the possible instability of a flood embankment can make it possible to take preventative action. The assessment method proposed by the ISMOP project is based on a strategy of processing huge data sets (Big Data). The detection of flood embankment anomalies can take two analysis paths. The first involves the computation of numerical models and comparing them with real data measured on a flood embankment. This is the path of model-driven analysis. The second solution is data-driven, meaning time series are analysed in order to detect deviations from average values.Flood embankments are assessed based on the results of model-driven and data-driven analyses and information from preprocessing. An alarm is triggered if a critical value is exceeded in one or both paths of analysis.Tests on synthetic data demonstrate the high efficiency of the chosen methods for assessing the state of flood embankments.

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The UrbanFlood Common Information Space for Early Warning Systems

Cited by 50 publications

References 10 publications

Diseño de una red de sensores inalámbricos para la monitorización de inundaciones repentinas en la ciudad de Barranquilla, Colombia

Diseño de una red de sensores inalámbricos para la monitorización de inundaciones repentinas en la ciudad de Barranquilla, Colombia

Dedicated IT infrastructure for Smart Levee Monitoring and Flood Decision Support

A Big Data processing strategy for hybrid interpretation of flood embankment multisensor data

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