FLOODSS: Iowa flood information system as a generalized flood cyberinfrastructure

References

• AFM, 2017. Alabama flood map. Available from: https://alabamaflood.com/map/ [Accessed 15 October 2017].
   Google Scholar
• Casale R. and P. Samuels, ed., 1998. RIBAMOD river basin modeling management and flood mitigation. concerted action. Proceedings of the first workshop on current policy and practice EUR 18019 EN, ISBN 92-828-2002-5.
   Google Scholar
• Davis, S. and Skaggs, L.L., 1992. Catalog of residential depth-damage functions used by the army corps of engineers in flood damage estimation. Ft. Belvoir, VA: USACE (United States Army Corps of Engineers).
   Google Scholar
• Demir, I. and Beck, M.B., 2009. GWIS: A prototype information system for Georgia watersheds, Paper 6.6.4. In: Proceedings of Georgia water resources conference: regional water management opportunities, 27–29 April, Athens, GA.
   Google Scholar
• Demir, I., et al., 2009. Information systems and social legitimacy: scientific visualization of water quality. In: Proceedings of IEEE Int. conference on systems, man, and cybernetics, 11–14 October, San Antonio, TX, 1093–1098.
   Google Scholar
• Demir, I., et al., 2015. Data-Enabled field experiment planning, management, and research using cyberinfrastructure. Journal of Hydrometeorology, 16, 1155–1170. doi: 10.1175/JHM-D-14-0163.1
   Web of Science ®Google Scholar
• Demir, I. and Krajewski, W., 2013. Towards an integrated flood information system: centralized data access, analysis, and visualization. Environmental Modeling and Software, 50, 77–84. doi: 10.1016/j.envsoft.2013.08.009
   Web of Science ®Google Scholar
• Duffy, C., et al., 2012. Designing a road map for geoscience workflows. Eos, Transactions American Geophysical Union, 93 (24), 225–226.
   Google Scholar
• FRIS, 2017. Flood risk information system. Available from: https://staging.ncem.org/fris/ [Accessed 15 October 2017].
   Google Scholar
• FRRMIS, 2017. Flood risk and response management information system. Available from: http://frrmis.faoso.net/ [Accessed 15 October 2017].
   Google Scholar
• Gil, Y., et al., 2016. Towards the geoscience paper of the future: best practices for documenting and sharing research from data to software to provenance. Earth and Space Science, 3, 388–415. doi: 10.1002/2015EA000136
   Web of Science ®Google Scholar
• HAZUS-MH, Hazards U.S., 2017. Multi-Hazard software. Available from: https://www.fema.gov/hazus [Accessed 5 January 2017].
   Google Scholar
• IFIS, 2017. Iowa flood information system. Available from: http://ifis.iowafloodcenter.org [Accessed 5 January 2017].
   Google Scholar
• Krajewski, W.F., et al., 2017. Real-Time flood forecasting and information system for the State of Iowa. Bulletin of the American Meteorological Society, 98, 539–554. doi: 10.1175/BAMS-D-15-00243.1
   Web of Science ®Google Scholar
• Kim, G., Trimi, S., and Chung, J., 2014. Big-data applications in the government sector. Communications of the ACM 57 (3), 78–85. doi: 10.1145/2500873
   Web of Science ®Google Scholar
• Kwon, O., Lee, N., and Shin, B., 2014. Data quality management, data usage experience and acquisition intention of big data analytics, International Journal of Information Management, 34 (3), 387–394. doi: 10.1016/j.ijinfomgt.2014.02.002
   Web of Science ®Google Scholar
• Lei, K., Ma, Y., and Tan, Z., 2014. Performance comparison and evaluation of Web development technologies in PHP, python, and node.js. 2014 IEEE 17th international conference on computational science and engineering, Chengdu, 661–668.
   Google Scholar
• Levy, J.K., 2005. Multiple criteria decision making and decision support systems for flood risk management. Stochastic Environmental Research and Risk Assessment, 19 (6), 438–447. doi: 10.1007/s00477-005-0009-2
   Web of Science ®Google Scholar
• Levy, J.K., et al., 2007. Multi-Criteria decision support systems for flood hazard mitigation and emergency response in urban watersheds. Journal of the American Water Resources Association, 43 (2), 346–358. doi: 10.1111/j.1752-1688.2007.00027.x
   Web of Science ®Google Scholar
• MDFM, 2017. Maryland flood maps. Available from: http://www.mdfloodmaps.net/dfirmimap/ [Accessed 15 October 2017].
   Google Scholar
• Muste M., 2017. FLOODSS: science-driven cyber-platforms for Community Action. In: Proceedings of international conference on flood management, 5–7 September, Leeds, UK.
   Google Scholar
• Qi, H. and Altinakar, M.S., 2011. A GIS-based decision support system for integrated flood management under uncertainty with two dimensional numerical simulations. Environmental Modelling & Software, 26 (6), 817–821. doi: 10.1016/j.envsoft.2010.11.006
   Web of Science ®Google Scholar
• Ramos, M.H., Bartholmes, J., and Thielen-del Pozo, J., 2007. Development of decision support products based on ensemble forecasts in the European flood alert system. Atmospheric Science Letters, 8 (4), 113–119. doi: 10.1002/asl.161
   Web of Science ®Google Scholar
• Sanders, R. and Tabuchi, S., 2000. Decision support system for flood risk analysis for the river thames, United Kingdom. Photogrammetric Engineering and Remote Sensing, 66 (10), 1185–1193.
   Web of Science ®Google Scholar
• Scawthorn, C., et al., 2006. HAZUS-MH flood loss estimation methodology. II. damage and loss assessment. Natural Hazards Review, 7 (2), 72–81. doi: 10.1061/(ASCE)1527-6988(2006)7:2(72)
   Google Scholar
• Shim, K.C., Fontane, D.G., and Labadie, J.W., 2002. Spatial decision support system for integrated river basin flood control. Journal of Water Resources Planning and Management, 128 (3), 190–201. doi: 10.1061/(ASCE)0733-9496(2002)128:3(190)
   Web of Science ®Google Scholar
• Simonovic, S.P. and Ahmad, S., 2005. Computer-Based model for flood evacuation emergency planning. Natural Hazards, 34, 25–51. doi: 10.1007/s11069-004-0785-x
   Web of Science ®Google Scholar
• Smith, D.I., 1994. Flood damage estimation – a review of urban stage-damage curves and loss functions. Water S. A., 20 (3), 231–238.
   Web of Science ®Google Scholar
• Soscini-Sessa, R., Castelletti, A., and Weber, E.A., 2003. A DSS for planning and managing water reservoir systems. Environ Modeling Software, 18, 395–404. doi: 10.1016/S1364-8152(03)00035-5
   Web of Science ®Google Scholar
• Todini, E., 1999. An operational decision support system for flood risk mapping, forecasting and management. Urban Water, 1, 131–143. doi: 10.1016/S1462-0758(00)00010-8
   Google Scholar
• VFRIS, 2017. Virginia flood risk information system. Available from: http://cmap2.vims.edu/VaFloodRisk/vfris2.html [Accessed 15 October 2017].
   Google Scholar
• Yildirim, E., 2017. Hazus-MH flood loss estimation on a Web-based system. Master’s Thesis. University of Iowa.
   Google Scholar