Open Access
Issue
E3S Web Conf.
Volume 7, 2016
3rd European Conference on Flood Risk Management (FLOODrisk 2016)
Article Number 20017
Number of page(s) 12
Section Policy appraisal, investment planning and decision making tools
DOI https://doi.org/10.1051/e3sconf/20160720017
Published online 20 October 2016
  1. IPCC (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, Pachauri R. K. and Meyer L. A. (eds.)]. IPCC, Geneva, Switzerland, pp. 151. [Google Scholar]
  2. Sayers P., Hall J. and Meadowcroft I. (2002). Towards risk-based flood hazard management in the UK. Proceedings of the Institution of Civil Engineers: Civil Engineering, 50(5), pp. 36–42. [CrossRef] [Google Scholar]
  3. WMO (2006). Integrated Flood Management Concept Paper. Associated Program for Flood Management, Technical Document No.1, second edition, World Meteorological Organization, Geneva, Switzerland. [Google Scholar]
  4. Muste M. (2014). Information-Centric Systems for Underpinning Sustainable Watershed Resource Management. Chapter 13 in Comprehensive Water Quality and Purification, Ahuja S. (Ed), Vol 4, Elsevier, pp. 270–298. [CrossRef] [Google Scholar]
  5. Mackay E. B., Wilkinson M. E., MacLeod C. J. A., Beven K., Percy B. J., Macklin M. G., Quinn P. F., Stutter M. and Haygarth P. M. (2015). Digital catchment observatories: A platform for engagement and knowledge exchange between catchment scientists, policy makers, and local communities. Water Resources Research, 51, pp. 4815–4822. doi: 10.1002/2014WR016824; 4815–4822. [CrossRef] [Google Scholar]
  6. Giordano R., Uricchio V. F. and Vurro M. (2008). Monitoring Information Systems to Support Integrated Decision-making. Timmerman J. G., Pahl-Wostl C. and Moltgen J. (eds.), IWA Publishing, London (UK), pp. 113–129. [Google Scholar]
  7. Cutter S. L., Barnes L., Berry M., Burton C.G., Evans E., Tate E.C. and Webb J. (2008).A Placebased Model for Understanding Community Resilience to Natural Disasters. Global Environmental Change, 18, pp. 598–606. [CrossRef] [Google Scholar]
  8. NOAA (2009). Integrated water resources science and services (IWRSS). An integrated and adaptive roadmap for operational implementation, IWRSS NOAA/ USACE/USGS Consortium. [Google Scholar]
  9. Laine R., Cook C., and Lemass B. (2012). Decision support: Informing flood management. 52nd Floodplain Management Association. (pp 1–10). [Google Scholar]
  10. Giupponi C., Mysiak J., Depietri Y. and Tamaro M. (2011). Decision Support Systems for water resources management: current state and guidelines for tool development, In: Vanrolleghem P.A. (Ed.), Decision Support for Water Framework Directive Implementation. IWA Publishing: London (UK), pp. 107–202. [Google Scholar]
  11. Kramer J., Noronha S., and Vergo J. (2000). A usercentered design approach to personalization. Communications of the ACM, 43(8), 44–48. [CrossRef] [Google Scholar]
  12. Sayers P., Galloway G., Penning-Rowsell E., Yuanyuan L., Fuxin S., Yiwei C., Kang W., QuesneT. L., Wang L. and Guan Y. (2015). Strategic flood management: ten ’golden rules’ to guide a sound approach, International Journal of River Basin Management, 13(2), 137–151, DOI: 10.1080/15715124.2014.902378 [CrossRef] [Google Scholar]
  13. Simonovic S. P. (2013). Floods in a Changing Climate: Risk Management, International Hydrology Series, Cambridge, UK. [Google Scholar]
  14. Field C. B., Barros V. R., Mach K. J., Mastrandrea M. D., van Aalst M., Adger W. N., Arent D. J., Barnett J., Betts R., Bilir T. E., Birkmann J., Carmin J., Chadee D. D., Challinor A. J., Chatterjee M., Cramer W., Davidson D. J., Estrada Y. O., Gattuso J. -P.Hijioka Y., Hoegh-Guldberg O., Huang H. -Q., Insarov G. E., Jones R. N., Kovats R. S., Romero Lankao P., Larsen J. N., Losada I. J., Marengo J. A., McLean R. F., Mearns L. O., Mechler R., Morton J. F., Niang I., Oki T., Olwoch J. M., Opondo M., Poloczanska E. S., Pörtner H. -O., Redsteer M. H., Reisinger A., Revi A., Schmidt D. N., Shaw M. R., Solecki W., Stone D. A., Stone J. M. R., Strzepek K. M., Suarez A. G., Tschakert P., Valentini R., Vicuña S., Villamizar A., Vincent K. E., Warren R., White L. L., Wilbanks T. J., Wong P.P., and Yohe G.W. (2014). Technical Summary. In: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Field C. B., Barros V. R., Dokken D. J., Mach K. J., Mastrandrea M. D., Bilir T. E., Chatterjee M., Ebi K. L., Estrada Y. O., Genova R.C., Girma B., Kissel E. S., Levy A. N., MacCracken S., Mastrandrea P. R., and White L. L. (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 35–94. [Google Scholar]
  15. Beven K. and Hall J. (2014). Applied uncertainty analysis for flood risk management, Imperial College Press, London, UK. [CrossRef] [Google Scholar]
  16. Hall J. and Solomantine D. (2008). A framework for uncertainty analysis in flood risk management decisions. International Journal River Basin Management, 6(2), pp. 85–89. [CrossRef] [Google Scholar]
  17. Muste M., Lee K. and Bertrand-Krajewski J-L. (2012). Standardized Uncertainty Analysis Frameworks for Hydrometry: Review of Relevant Approaches and Implementation Examples. Hydrological Sciences Journal, 57(4), pp. 643–667. [CrossRef] [Google Scholar]
  18. Matott L. S., Babendreier J. E., and Purucker S. T. (2009). Evaluating Uncertainty in Integrated Environmental Models: A Review of Concepts and Tools. Water Resources Research, 45(6), doi: 10.1029/2008WR007301, W06421, 14 p. [CrossRef] [Google Scholar]
  19. Kauffeldt A., Wetterhall F., Pappenberger F., Salamon P. and Thielen J. (2016). Technical review of large-scale hydrological models for implementation in operational flood forecasting schemes on continental level. Environmental Modelling & Software, 75, pp. 68–76. [CrossRef] [Google Scholar]
  20. UNECE (2015). Flood risk management in transboundary basins. Discussion paper the United Nations Economic Commission for Europe’s Workshop on Transboundary Flood Risk Management II, March 19-20, 2015, Geneva. [Google Scholar]
  21. Giupponi C. and Sgobbi A. (2013). Decision support systems for water resources management in developing countries: learning from experiences in Africa, Water, 5, pp. 798–818. [CrossRef] [Google Scholar]
  22. GWP (2013). The Role of DSS and models in Integrated River Basin Management. Global Water Partnership. [Google Scholar]
  23. Evans E. P., Ramsbottom D. M., Wicks J. M., Packman J. C., & Penning-Rowsell E. C. (2002). Catchment flood management plans and the modelling and decision support framework. Proceedings of the ICE-Civil Engineering, 150(5), pp. 43–48. [Google Scholar]
  24. Ahmad S., and Simonovic S. P. (2006). An intelligent decision support system for management of floods. Water Resources Management, 20(3), pp. 391–410. [CrossRef] [Google Scholar]
  25. de Roo Ad P. Gouweleeuw J. Thielen B. Bartholmes J. Bongioannini-Cerlini J. Todini P. Bates E. Horritt P. D. Hunter M,. Beven N. Pappenberger K. Heise F. Rivin E. Hills G. Hollingsworth M. Holst A. Kwadijk B. Reggiani J. Van Dijk P. Sattler M. K. and Sprokkereef E. (2003). Development of a European Flood Forecasting System. International Journal of River Basin Management, 1(1), pp. 49–59. [CrossRef] [Google Scholar]
  26. Ibanez A. C., Schwanenbergm D., de Marcos L. G., Mahanud M. F. and Conzalez J. A. (2011). An example of flood forecasting and decision-support for water management in Spain. Proceedings of the 8th International ISCRAM Conference, Lisbon, Portugal [Google Scholar]
  27. CWCB (2006). Prototype Flood DSS. Colorado Conservation Board. [Google Scholar]
  28. Maidment D. R. (2016). Planning for 2016 Summer Institute of National Water Center, National Flood Interoperability Experiment, Phase II, February 2, 2015, Tuscaloosa, TN. [CrossRef] [Google Scholar]
  29. Kang B., Lee J.-H., Hong I., Oh K. and Jeong S. (2010). Web-based assessment for flood forecasting and warning systems. Desalination and Water Treatment, 19(1-3), pp. 129–137. [CrossRef] [Google Scholar]
  30. Demir I., and Krajewski W. F. (2013). Towards an integrated flood information system: centralized data access, analysis, and visualization. Environmental Modelling & Software, 50, pp. 77–84. [CrossRef] [Google Scholar]
  31. Todini E. (1999). An operational decision support system for flood risk mapping, forecasting and management. Urban Water, 1(2), pp. 131–143. [CrossRef] [Google Scholar]
  32. Almoradie A., Cortes V. J., and Jonoski A. (2015). Web-based stakeholder collaboration in flood risk management. Journal of Flood Risk Management, 8(1), pp. 19–38. [CrossRef] [Google Scholar]
  33. Georgakakos A. P. (2007). Decision Support Systems for Integrated Water Resources Management with an Application to the Nile Basin, In: Castelletti A., Soncini-Sessa R. (Eds.), Topics on System Analysis and Integrated Water Resources Management. Elsevier, pp. 99–116. [CrossRef] [Google Scholar]
  34. Jiang H., Eastman J. R., (2000). Application of fuzzy measures in multi-criteria evaluation in GIS. Int. Journal of Geographic Information Science. 14, pp. 173–184. [CrossRef] [Google Scholar]
  35. FLOODsite (2009). Developing Methodological Foundations for GIS-based Multicriteria Evaluation of Flood Damage and Risk. Report T10=08-13, HR Wallingford, UK (available at: www.floodsite.net) [Google Scholar]
  36. Sorensen H. R., Beyene M. and Ammentorp H. C. (2015). The Nile Basin Decision Support System. Hydrolink, 4, International Association for Hydro-Environment Engineering and Research, Madrid, Spain. [Google Scholar]
  37. Firoozfar A. R. (2016). Literature review on floodrelated decision-support systems, IIHR Internal document provided by personal communication with the author. [Google Scholar]
  38. EC (2003). Common Implementation Strategy for the Water Framework Directive (2000/60/EC), Guidance Document No. 8: Public participation in relation to the Water Framework Directive, Office for the Official Publications of the European Communities, Luxembourg. [Google Scholar]
  39. Power D. J., Sharda R. (2007). Model-driven decision support systems: Concepts and research directions. Decision Support Systems, 43(3), pp. 1044–1061. [CrossRef] [Google Scholar]
  40. Tarboton D. G., Horsburgh J. S., Maidment D. R., Whiteaker T., Zaslavsky I., Piasecki M., Goodall J., Valentine D., and Whitenack T. (2009). Development of a community hydrologic information system. 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand and International Association for Mathematics and Computers in Simulation, pp. 988–994. [Google Scholar]
  41. Horsburgh J. S., Tarboton D. G., Schreuders K. A. T., Maidment D. R., Zaslavsky I. and Valentine D. (2010). HydroServer: A Platform for Publishing Space-time hydro-logic Datasets. AWRA Spring Speciality Conference, Florida, USA, pp. 29–31. [Google Scholar]
  42. Ames D. P., Horsburgh J. S., Cao Y., Kadlec J., Whiteaker T. and Valentine D. (2012). HydroDesktop: web services-based software for hydrologic data discovery, download, visualization, and analysis. Environ. Model. Software, 37, pp. 146–156. [CrossRef] [Google Scholar]
  43. Wang S., Anselin L., Bhaduri B., Crosby C., Goodchild M. F., Liu Y., and Nyerges T. L. (2011). CyberGIS Software: ASynthetic Review and Integration Roadmap.” International Journal of Geographical Information Science, 27(11), pp. 2122–2145. [CrossRef] [Google Scholar]
  44. Horak J., Orlik A., Stromsky J. (2008). Web Services for Distributed and Interoperable Hydro-information Systems. Hydrol. Earth Syst. Sci.,12, pp. 635 644. [CrossRef] [Google Scholar]
  45. Rajib M. A., Merwade V., Kim I. L., Song C. and Zhe S. (2016). SWATShare - AWeb Platfrom for Collaborative Research and Education Through Online Sharing, Simulation and Visualization of SWAT Models. Environmental Modelling & Software, 75, pp. 498–512. [CrossRef] [Google Scholar]
  46. Power D. J., Sharda R. and Burstein F. (2015). Decision Support Systems, Joh Wiley & Sons. [Google Scholar]
  47. Frank J. S. (2015). Competition Concerns in Multi-Sided Markets in Mobile Communication. Competition on the Internet, pp. 81–99. [Google Scholar]
  48. Giupponi C. (2011). Using Modern Decision Support Systems for Evidence Based Policy Making in IWRM in Developing Countries. available at: http://splash-era.net/index.php [Google Scholar]
  49. McIntosh B., Voinov A., Smith C., and Giupponi C. (2006). Bridging the Gaps between Design and Use: Developing Appropriate Tools for Environmental Management and Policy, in Voinov A., Jakeman A., Rizzoli A. (Eds.), Proceedings of the iEMSs Third Biennial Meeting: “Summit on Environmental Modelling and Software” Burlington, USA, p. 6. [Google Scholar]
  50. UN (2015). Sendai Framework for Disaster Reduction 2015-2030, Third United Nations World Conference, March 18, 2015, Sendai, Japan. [Google Scholar]
  51. Madsen H., Lawrence D., Lang M., Martinkova M., Kjeldsen T. R. (2014). Review of trend analysis and climate change projections of extreme precipitation and floods in Europe, Journal of Hydrology, 519, 3634–3650. [CrossRef] [Google Scholar]
  52. Kundzewicz Z. W. (2012). Changes in Flood Risk in Europe. IAHS Special Publication 10, pp. 516. [Google Scholar]
  53. Loucks D. P., Kindler J., Fedra K. (1985). Interactive water resources modeling and model use: an overview. Water Resources Research, 21, pp. 95–102. [CrossRef] [Google Scholar]
  54. Muste M. (2012). Toward a Watershed-focused Decision Support System. Iowa Water Conference, Ames, Iowa, USA, March 5-7. [Google Scholar]
  55. Abbott M. B. (1994). Hydroinformatics: A copernican revolution in hydraulics. Journal of Hydraulic Engineering 32, 3–13. [Google Scholar]

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