Records |
Author |
Flávio E. A. Horita; João Porto De Albuquerque |
Title |
An approach to support decision-making in disaster management based on volunteer geographic information (VGI) and spatial decision support systems (SDSS) |
Type |
Conference Article |
Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
Volume |
|
Issue |
|
Pages |
301-306 |
Keywords |
Artificial intelligence; Decision making; Decision support systems; Disaster prevention; Information systems; Disaster management; Extreme events; Geographic information; Spatial decision support systems; Updated informations; Vgi; Volunteered geographic information; Work-in-progress; Disasters |
Abstract |
The damage caused by recent events in Japan in 2011 and USA in 2012 highlighted the need to adopt measures to increase the resilience of communities against extreme events and disasters. In addition to the conventional and official information that is necessary for adaptation to disasters, recently, common citizens residents in the affected areas also began contributing with voluntary qualified and updated information. In this context, this work-in-progress presents an approach that uses voluntary information – Also known by VGI (Volunteered Geographic Information) – As a data source for Spatial Decision Support Systems (SDSS) in order to assist the decision-making in disaster management. Our approach consists of a framework that integrates voluntary and conventional data, a SDSS and processes and methods for decision-making. As a result, it is expected that this approach will assist official organizations in disaster management by providing mechanisms and information. |
Address |
Department of Computer Systems, ICMC University of São Paulo, São Carlos/SP, Brazil |
Corporate Author |
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Thesis |
|
Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
Track |
Decision Support Systems |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
592 |
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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 |
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 |
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Thesis |
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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 |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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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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