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Author Flavio Horita; Ricardo Vilela; Renata Martins; Danielle Bressiani; Gilca Palma; João Porto de Albuquerque pdf  isbn
openurl 
  Title Determining flooded areas using crowd sensing data and weather radar precipitation: a case study in Brazil Type Conference Article
  Year 2018 Publication ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2018  
  Volume Issue Pages 1040-1050  
  Keywords Crowd sensing data, Weather radar precipitation, Kernel density estimation, Flood management, Collaborative platforms  
  Abstract Crowd sensing data (also known as crowdsourcing) are of great significance to support flood risk management. With the growing volume of available data in the past few years, researchers have used in situ sensor data to filter and prioritize volunteers' information. Nevertheless, stationary, in situ sensors are only capable of monitoring a limited region, and this could hamper proper decision-making. This study investigates the use of weather radar precipitation to support the processing of crowd sensing data with the goal of improving situation awareness in a disaster and early warnings (e.g., floods). Results from a case study carried out in the city of São Paulo, Brazil, demonstrate that weather radar data are able to validate flooded areas identified from clusters of crowd sensing data. In this manner, crowd sensing and weather radar data together can not only help engage citizens, but also generate high-quality data at finer spatial and temporal resolutions to improve the decision-making related to weather-related disaster events.  
  Address  
  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Open Track Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2176  
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Author Flávio E. A. Horita; Maria C. Fava; Eduardo M. Mendiondo; Jairo Rotava; Vladimir C. Souza; Jo Ueyama; João Porto De Albuquerque pdf  isbn
openurl 
  Title AGORA-GeoDash: A geosensor dashboard for real-time flood risk monitoring Type Conference Article
  Year 2014 Publication ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2014  
  Volume Issue Pages 304-313  
  Keywords Decision making; Flood control; Information systems; Wireless sensor networks; Decision making process; Flood management; Flood risks; Geosensor dashboard; Hazard indices; Open geospatial consortium; Performance indicators; Technological architectures; Floods  
  Abstract Flood management is an important approach to reduce damage caused by floods. In this context, technological architectures which work in real-time are needed. However, Brazil has faced many structural difficulties in obtaining updated information on the current state of its rivers. To address this problem, this paper outlines a geosensor dashboard called AGORA-GeoDash, which processes data streams from wireless sensor networks and makes them available in the form of a set of performance indicators that are essential to support real-time decision-making in flood risk monitoring. The dashboard was built on open-source frameworks, made use of geoservices that comply with the standards of Open Geospatial Consortium, and established a Wireless Sensor Network which monitors the rivers of São Carlos/SP in Brazil. The analysis of the indicators available in two rainfall events revealed that the dashboard can provide the key information required for the decision-making process involved in flood risk management.  
  Address Department of Computer Systems/ICMC, University of São Paulo, São Carlos/SP, Brazil; Department of Hydraulic/EESC, University of São Paulo, São Carlos/SP, Brazil; Center for Technology/CTEC, Federal University of Alagoas, Maceió/AL, Brazil  
  Corporate Author Thesis  
  Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780692211946 Medium  
  Track Geographic Information Science Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 593  
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Author Alicia Cabañas Ibañez; Dirk Schwanenberg; Luis Garrote De Marcos; Miguel Francés Mahamud; Javier Arbaizar González pdf  isbn
openurl 
  Title An example of Flood Forecasting and Decision-Support System for water management in Spain Type Conference Article
  Year 2011 Publication 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 Abbreviated Journal ISCRAM 2011  
  Volume Issue Pages  
  Keywords Artificial intelligence; Computer simulation; Decision support systems; Flood control; Hydraulic tools; Information systems; Reservoir management; Water management; Data-sources; Early warning; Early Warning System; Flood forecasting; Flood management; Open-shell; Floods  
  Abstract The paper provides an overview of past, present and future development in the program to implement a Flood Forecasting and Decision-Support System (DSS) for the SAIH network in some Spanish basins. These tools represent a significant advance by embedding the decision-making components for management of hydraulic infrastructure into the flood forecasting and flood early warning procedures. The DSS has been implemented based on an open-shell platform for integrating various data sources and different simulation models. So far, it covers the Segura, Jucar, Tajo, Duero and Miño-Sil basins, which represent 42% of Spanish territory. Special attention is paid to the decision-support for the operation of the 66 major reservoirs as a fundamental part of flood management.  
  Address KV Consultores, Madrid, Spain; Deltares, Operational Water Management, Delft, Netherlands; Universidad Politécnica de Madrid, Spain; Dirección General Del Agua, Spain  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Lisbon Editor M.A. Santos, L. Sousa, E. Portela  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789724922478 Medium  
  Track Early Warning and Alert Systems Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 609  
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Author Vitaveska Lanfranchi; Stuart N. Wrigley; Neil Ireson; Uta Wehn; Fabio Ciravegna pdf  isbn
openurl 
  Title Citizens' observatories for situation awareness in flooding Type Conference Article
  Year 2014 Publication ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2014  
  Volume Issue Pages 145-154  
  Keywords Flood control; Floods; Information systems; Models; Sensors; Water; Decision making process; Digital technologies; Flood management; Governance; Netherlands; Research plans; Situation awareness; Observatories  
  Abstract Citizens' observatories are emerging as a means to establish interaction and co-participation between citizens and authorities during both emergencies and the day-to-day management of fundamental resources. In this paper we present a case study in which a model of citizens' observatories is being been translated into practice in the WeSenseIt project. The WeSenseIt citizens' observatory provides a unique way of engaging the public in the decision-making processes associated with water and flood management through a set of new digital technologies. The WeSenseIt citizens' observatory model is being implemented in three case studies based in the UK, the Netherlands and Italy. We describe the findings and our experiences following preliminary evaluations of the technologies and the model of co-participation and describe our future research plans.  
  Address University of Sheffield, United Kingdom; UNESCO-IHE Institute for Water Education, Netherlands  
  Corporate Author Thesis  
  Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780692211946 Medium  
  Track Community Engagement in Crisis Informatics Research Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 680  
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Author Thomas Münzberg; Marcus Wiens; Frank Schultmann pdf  isbn
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  Title A strategy evaluation framework based on dynamic vulnerability assessments Type Conference Article
  Year 2014 Publication ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2014  
  Volume Issue Pages 45-54  
  Keywords Climate change; Decision support systems; Flood control; Information systems; Linear programming; Multiobjective optimization; Risk perception; Decision supports; Evaluation framework; Flood management; Goal programming; Management strategies; Strategy evaluations; Test strategies; Vulnerability assessments; Risk assessment  
  Abstract Assessing a system's vulnerability is a widely used method to estimate the effects of risks. In the past years, increasingly dynamic vulnerability assessments were developed to display changes in vulnerability over time (e.g. in climate change, coastal vulnerability, and flood management). This implies that the dynamic influences of management strategies on vulnerability need to be considered in the selection and implementation of strategies. For this purpose, we present a strategy evaluation framework which is based on dynamic vulnerability assessments. The key contribution reported in this paper is an evaluation framework that considers how well strategies achieve a predefined target level of protection over time. Protection Target Levels are predefined objectives. The framework proposed is inspired by Goal Programming methods and allows distinguishing the relevance of time-dependent achievements by weights. This enables decision-makers to evaluate the overall performance of strategies, to test strategies, and to compare the outcome of strategies.  
  Address Institute for Nuclear and Energy Technologies, Karlsruhe Institute of Technology, Germany; Institute for Industrial Production, Karlsruhe Institute of Technology, Germany  
  Corporate Author Thesis  
  Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780692211946 Medium  
  Track Analytic Modeling and Simulation Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 798  
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Author Raul Eduardo Simoni Castanhari; Roberto dos Santos Rocha; Sidgley Camargo de Andrade; João Porto de Albuquerque pdf  isbn
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  Title A Software Architecture to Integrate Sensor Data and Volunteered Geographic Information for Flood Risk Management Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Service-Oriented Architecture; Integration; Geospatial Data; Volunteered Geographic Information; Flood Management  
  Abstract Natural disasters are phenomena that can cause great damage to people in urban and rural areas, and thus require preventive and reactive measures. If they involve multiple sources of information, these measures can be more useful and effective. However, the integration of heterogeneous data still poses challenges due to the differences in their structures and contents. To overcome this difficulty, this paper outlines a service-oriented architecture, as part of the AGORA platform, which aims to support the integration of sensor data and Volunteered Geographic Information (VGI) related to floods. The composition of the architectural components enables sensor data to be integrated with VGI by using several algorithms in a flexible and automated manner. The architecture was implemented by means of a prototype as a proof of concept and the results were used to generate thematic maps. These maps can improve flood risk awareness and support decision-making in flood risk management.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3428 ISBN 978-84-608-7984-49 Medium  
  Track Geospatial Data and Geographical Information Science Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1368  
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Author André Simões; Armanda Rodrigues; Patricia Pires; Luis Sá pdf  isbn
openurl 
  Title Evaluating emergency scenarios using historic data: Flood management Type Conference Article
  Year 2011 Publication 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 Abbreviated Journal ISCRAM 2011  
  Volume Issue Pages  
  Keywords Artificial intelligence; Cellular automata; Computer simulation; Decision support systems; Flood control; Floods; Geographic information systems; Information systems; Risk management; Civil protection; Complex evaluations; Development process; Emergency management; Emergency scenario; Flood forecasting models; Flood management; Physical conditions; Risk perception  
  Abstract The evaluation of an emergency scenario is often based on the use of simulation models. The specificity of these models involves the need for a complex evaluation of the problem domain, including the physical conditions behind the considered threat. Based on emergency occurrences data, provided by the Portuguese National Civil Protection Authority, we are currently developing a methodology for evaluating a real situation, based on past occurrences. The aim is to develop a platform that will enable the evaluation of a risk scenario based on existing civil protection data. The methodology under development should enable the evaluation of different scenarios based on the collected available data. This will be achieved thanks to the facilitated configuration of several aspects, such as the geographical region and relevant properties of the considered threat. In this paper, we describe the methodology development process and the current state of the platform for risk evaluation.  
  Address CITI, FCT/UNL, Portugal; Autoridade Nacional de Protecção Civil, Portugal  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Lisbon Editor M.A. Santos, L. Sousa, E. Portela  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789724922478 Medium  
  Track Geographic Information Science Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 952  
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