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An Event-Driven, Scalable and Real-Time Geo-spatial Disaster Forensics Architecture: Decision Support for Integrated Disaster Risk Reduction

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Disaster Forensics

Abstract

“An event-driven, scalable and real-time, geo-spatial disaster forensics architecture” uses advances in decision support systems to apply forensic theory, insight and analysis to disaster related research and practice. It examines water resources disasters and their impact on humans, the built environment and natural systems. The chapter also identifies, and describes timely and innovative decision support architectures to analyze climate related disasters, enhance emergency preparedness, reduce disaster risk, promote disaster resilience and improve disaster mitigation, adaption, and management. The root causes of water resources disasters are explored and a distributed, scalable and real-time disaster forensics architecture with event-driven messaging and advanced geomatics engineering capabilities is put forth. Emphasis is given to vigilant monitoring, assessment, response and recovery of floods and oil and molasses spills in the US state of Hawaii. The decision support and situational awareness advances found in this chapter complement the recent success of water resources disaster risk management and disaster forensics in Europe and elsewhere. The herein proposed disaster forensics architecture helps managers uncover creative, timely and important strategies for analyzing water resources accidents and disasters. In this manner, professionals have additional tools to model the complex causality of disasters and are better equipped to apply disaster forensics theory to the promotion of a more holistic, sustainable relationship between society and the environment. Specifically, this contribution provides theoretical insights and practical examples to manage water resources disasters under uncertainty.

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References

  1. Albering HJ, Van Leusen SM, Moonen EJ, Hoogewerff JA, Kleinjans JC, Human JC (1999) Health risk assessment: a case study involving heavy metal soil contamination after the flooding of the river meuse during the winter of 1993–1994. Environ Health Perspect 107:37–43

    Article  Google Scholar 

  2. Belokosztolszki A, Eyers DM, Pietzuch PR, Bacon J, Moody K (2003) Role-based access control for publish/subscribe middleware architectures (trans: San Diego). ACM New York, California, pp 1–8

    Google Scholar 

  3. Casale R, Samuels P (eds) (1998) RIBAMOD river basin modeling management and flood mitigation. Concerted action. In: Proceedings of the first workshop on current policy and practice EUR 18019 EN. ISBN 92-828-2002-5

    Google Scholar 

  4. Cao F (2006) Architecture design for distributed content-based publish-subscribe systems. Unpublished thesis, Princeton University

    Google Scholar 

  5. Clark MJ (1998) Putting water in its place: a perspective on GIS in hydrology and water management. Hydrol Process 12:823–834

    Article  ADS  Google Scholar 

  6. Cugola G, Jacobsen H-A (2002) Using publish/subscribe middleware for mobile systems. ACM SIGMOBILE Mobile Comput Commun Rev 6(4):25–33

    Article  Google Scholar 

  7. Cugola G, Nitto ED, Fuggetta A (2001) The JEDI event-based infrastructure and its application to the development of the OPSS WFMS. IEEE Trans Software Eng 27(9):827–850

    Article  Google Scholar 

  8. Feidas HN, Cartalis C, Cracknell AP (2000) Use of METEOSAT imagery to define clouds linked with floods in Greece. Int J Remote Sens 21(5):1047–1072

    Article  Google Scholar 

  9. Forensic Investigations of Disasters (FORIN) project (2015) Integrated research on disaster risk. http://www.irdrinternational.org

  10. Hartmann J, Levy JK, Okada N (2006) Managing surface water contamination in Nagoya, Japan: an integrated water basin management decision framework. Water Resour Manage 20:411–430

    Article  Google Scholar 

  11. Isaji C (2003) Integrated water quality management for drinking water of good quality. Water Sci Technol 47(9):15–23

    Google Scholar 

  12. Islam MM, Sadu K (2002) Development of priority map remote sensing data for flood counter measures by geographic information system. J Hydrol Eng 7:346–355

    Article  Google Scholar 

  13. Jaeger MA (2005) Self-organizing publish/subscribe (trans: Grenoble). ACM New York, France, pp 1–5

    Google Scholar 

  14. Jaeger MA, Muhl G (2005) Stochastic analysis and comparison of self-stabilizing routing algorithms for publish/subscribe systems. In: Proceedings of the 13th IEEE international symposium on modeling, analysis, and simulation of computer and telecommunication systems (MASCOTS’05), Atlanta, Georgia, pp 471–479

    Google Scholar 

  15. Jaeger MA, Parzyjegla H, Mühl G, Herrmann K (2007) Self-organizing broker topologies for publish/subscribe systems (trans: Seoul). ACM New York, Korea, pp 543–550

    Google Scholar 

  16. Lindell MK, Perry RW (1997) Hazardous material releases in the northridge earthquake: implications for sesimic risk assessment. Risk Anal 17(2):147–156

    Article  Google Scholar 

  17. Maxwell DT (2004) Decision analysis: aiding insight VII. OR/MS Today 31(5):44–55

    Google Scholar 

  18. Muhl G, Fiege L, Pietzuch P (2006) Distributed Event-Based Systems, Germany: Springer

    Google Scholar 

  19. Pallickara S, Fox G (2003) NaradaBrokering: a distributed middleware framework and architecture for enabling durable peer-to-peer grids (trans: Rio Janeiro, Brazil)

    Google Scholar 

  20. Pallickara S, Bulut H, Fox G (2007) Fault-tolerant reliable delivery of messages in distributed publish/subscribe systems. In: Proceedings of the fourth international conference on autonomic computing (ICAC’07), Jacksonville, Florida, USA. IEEE Computer Society, p 19

    Google Scholar 

  21. Reible DD, Haas CN, Pardue JH, Walsh WJ (2006) Toxic and contaminant concerns generated by hurricane Katrina. J Environ Eng 132(6):565–566

    Article  Google Scholar 

  22. Saatchi SS, Nelson B, Podest E, Holt J (2000) Mapping land cover types in the Amazon Basin using 1 km JERS-1 Mosaic. Int J Remote Sens 21(6):1201–1234

    Article  Google Scholar 

  23. Sanyal J, Lu X (2004) Application of remote sensing in flood management with special reference to monsoon Asia: a review. Nat Hazards 33:283–301

    Article  Google Scholar 

  24. Shim JP, Warkentin JF, Courtney DJ, Power R, Sharda R, Carlsson C (2002) Past, present, and future of decision support technology. Decis Support Syst 33:111–126

    Article  Google Scholar 

  25. Simonovic SP, Ahmad S (2005) Computer-based model for flood evacuation emergency planning. Nat Hazards 34:25–51

    Article  Google Scholar 

  26. Soscini-Sessa R, Castelletti A, Weber EA (2003) DSS for planning and managing water reservoir systems. Environ Model Software 18:395–404

    Article  Google Scholar 

  27. Tholey N, Clandillon S, De Fraipont P (1997) The contribution of space borne SAR and optical data in monitoring flood events: examples in northern and southern France. Hydrol Process 11:1427–1439

    Article  Google Scholar 

  28. Todini E (1999) An operational decision support system for flood risk mapping, forecasting and management. Urban Water 1:131–143

    Article  Google Scholar 

  29. Turban E, Aronson JE, Liang T-P (2004) Decision support systems and intelligent systems, 7th edn. Prentice Hall Inc., New Jersey

    Google Scholar 

  30. White K (1993) Signs of an olive branch: confronting the environmental health consequences of the midwestern floods. Environ Health Perspect 101:584–588

    Article  Google Scholar 

  31. Young S, Balluz L, Malilay J (2004) Natural and technologic hazardous material releases during and after natural disasters: a review. Sci Total Environ 322:3–20

    Article  Google Scholar 

  32. Wang C, Carzaniga A, Evans D, Wolf AL (2002) Security issues and requirements for internet-scale publish-subscribe systems (trans: Island of Hawaii). IEEE Computer Society, Washington, DC, p 303

    Google Scholar 

  33. Zhang J, Hori H, Tatano H, Okada N, Zhang C, Matsumoto T (2003) GIS and flood inundation model-based flood risk assessment in an urbanized floodplain. In: International conference of GIS and remote sensing in hydrology, water resources and environment (ICGRHWE). Three Gorges Dam Construction Site, China, IAHS Publication 289, Three Gorges, pp 1–8

    Google Scholar 

  34. Zhai G, Fukuzono T, Saburo I (2005) Modeling flood damage: case of Tokai flood 2000. J Am Water Resour Assoc (JAWRA) 41(1):77–92

    Article  ADS  Google Scholar 

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Authors and Affiliations

  1. Honolulu, USA

    Jason Levy

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  1. Jason Levy
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Correspondence to Jason Levy .

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Editors and Affiliations

  1. Centre for Security Science , OTTAWA, Ontario, Canada

    Anthony J. Masys

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Levy, J. (2016). An Event-Driven, Scalable and Real-Time Geo-spatial Disaster Forensics Architecture: Decision Support for Integrated Disaster Risk Reduction. In: Masys, A. (eds) Disaster Forensics. Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-41849-0_14

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