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Articles

Effect of input data in hydraulic modeling for flood warning systems

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Pages 938-956 | Received 19 Apr 2016, Accepted 21 Feb 2018, Published online: 29 May 2018

References

  • Alho, P. and Aaltonen, J., 2008. Comparing a 1D hydraulic model with a 2D hydraulic model for the simulation of extreme glacial outburst floods. Hydrological Processes, 22 (10), 1537–1547. doi:10.1002/(ISSN)1099-1085
  • Allouis, T., Bailly, J., and Feurer, D., 2007. Assessing water surface effects on LiDAR bathymetry measurements in very shallow rivers: a theoretical study. In: Second ESA space for hydrology workshop [online], Geneva, CHE, 12–14. Available from: https://www.researchgate.net/profile/Denis_Feurer/publication/268260522_Assessing_water_surface_effects_on_LiDAR_bathymetry_measurements_in_very_shallow_rivers_a_theoretical_study/links/54bcd6f30cf29e0cb04c390b.pdf
  • Arcement, G.J. and Verne, R.S., 1989. Guide for selecting Manning’s roughness coefficients for natural channels and flood plains [online]. Available from: http://dpw.lacounty.gov/lacfcd/wdr/files/WG/041615/Guide%20for%20Selecting%20n-Value.pdf
  • ASCE Task Committee, 1993. The ASCE task committee on definition of criteria for evaluation of watershed models of the watershed management committee Irrigation and Drainage Division, Criteria for evaluation of watershed models. Journal of Irrigation and Drainage Engineering, ASCE, 119 (3), 429–442.
  • Bales, J.D. and Wagner, C.R., 2009. Sources of uncertainty in flood inundation maps. Journal of Flood Risk Management, 2.2, 139–147. doi:10.1111/j.1753-318X.2009.01029.x
  • Barnes Jr., H.H., 1849. Roughness characteristics of natural streams [online]. US Geological Survey Water Supply Paper. Available from: https://pubs.usgs.gov/wsp/wsp_1849/pdf/wsp_1849.pdf
  • Basha, E. and Daniela, R., 2007. Design of early warning flood detection systems for developing countries. In: Information and Communication Technologies and Development, 2007. ICTD 2007. International Conference on Information and Communication Technologies and Development, 15–16 December, Bangalore, India, 1–10.
  • Bates, P.D., et al., 2004. Bayesian updating of flood inundation likelihoods conditioned on flood extent data. Hydrological Processes, 18 (17), 3347–3370. doi:10.1002/(ISSN)1099-1085
  • Bates, P.D. and De Roo, A.P.J., 2000. A simple raster-based model for floodplain inundation. Journal of Hydrology, 236, 54–77. doi:10.1016/S0022-1694(00)00278-X
  • Brunner, G.W., 1995. HEC-RAS River Analysis System [online]. Hydraulic Reference Manual. Version 1.0. Davis, CA: US Army Corps of Engineers, Hydrologic Engineering Center. Available from: http://www.dtic.mil/dtic/tr/fulltext/u2/a311952.pdf
  • Brunner, G.W., 2002. HEC-RAS river analysis system: user’s manual. Davis, CA: US Army Corps of Engineers, Institute for Water Resources, Hydrologic Engineering Center.
  • Castellarin, A., et al., 2009. Optimal cross-sectional spacing in Preissmann scheme 1D hydrodynamic models. Journal of Hydraulic Engineering, 135 (2), 96–105. doi:10.1061/(ASCE)0733-9429(2009)135:2(96)
  • Chow, V.T., Maidment, D.R., and Mays, L.W., 1988. Applied hydrology. New York: McGraw-Hill.
  • Cook, A. and Merwade, V., 2009. Effect of topographic data, geometric configuration and modeling approach on flood inundation mapping. Journal of Hydrology, 377 (1), 131–142. doi:10.1016/j.jhydrol.2009.08.015
  • Cook, A.C., 2008. Comparison of one-dimensional HEC-RAS with two-dimensional FESWMS model in flood inundation mapping. Dissertation. Purdue University West Lafayette.
  • Costabile, P., et al., 2015. Flood mapping using LIDAR DEM. Limitations of the 1D modeling highlighted by the 2-D approach. Natural Hazards, 77 (1), 181–204. doi:10.1007/s11069-015-1606-0
  • Crosetto, M. and Tarantola, S., 2001. Uncertainty and sensitivity analysis: tools for GIS-based model implementation. International Journal of Geographical Information Science, 15 (5), 415–437. doi:10.1080/13658810110053125
  • Di Baldassarre, G., 2012. Flood trends and population dynamics. In: EGU General Assembly Conference Abstracts, 22–27 April, Vienna, Austria.
  • Di Baldassarre, G. and Montanari, A., 2009. Uncertainty in river discharge observations: a quantitative analysis. Hydrology and Earth System Sciences, 13 (6), 913. doi:10.5194/hess-13-913-2009
  • Domeneghetti, A., et al., 2013. Probabilistic flood hazard mapping: effects of uncertain boundary conditions. Hydrology and Earth System Sciences, 17 (8), 3127–3140. doi:10.5194/hess-17-3127-2013
  • Dottori, F., Baldassarre, G.D., and Todini, E., 2013. Detailed data is welcome, but with a pinch of salt: accuracy, precision, and uncertainty in flood inundation modeling. Water Resources Research, 49 (9), 6079–6085. doi:10.1002/wrcr.20406
  • Ebner, A.D., et al., 2006. Flood of July 27–31, 2006, on the Grand River near Painesville, Ohio. Reston, VA: US Geological Survey, Open-File Report 2007–1164.
  • Fread, D.L., 1974. Numerical properties of implicit four-point finite difference equations of unsteady flow [online]. Washington, DC: Office of Hydrology. Available from: http://www.nws.noaa.gov/oh/hrl/hsmb/docs/hydraulics/papers_before_2009/hl_51.pdf
  • Gupta, H.V., Sorooshian, S., and Yapo, O.P., 1999. Status of automatic calibration for hydrologic models: comparison with multilevel expert calibration. Journal of Hydrologic Engineering, 4 (2), 135–143. doi:10.1061/(ASCE)1084-0699(1999)4:2(135)
  • Guthrie, J.D., et al., 2008. Stewart.StreamStats: a water resources web application. Reston, VA: US Department of the Interior, US Geological Survey.
  • Hicks, F.E. and Peacock, T., 2005. Suitability of HEC-RAS for flood forecasting. Canadian Water Resources Journal, 30 (2), 159–174. doi:10.4296/cwrj3002159
  • Holtzclaw, E., Leite, B., and Myrick, R., 2005. Floodplain modeling applications for emergency management and stakeholder involvement a case study. New Braunfels, TX: Georgia Institute of Technology.
  • Horritt, M.S. and Bates, P.D., 2001. Effects of spatial resolution on a raster based model of flood flow. Journal of Hydrology, 253 (1), 239–249. doi:10.1016/S0022-1694(01)00490-5
  • Horritt, M.S. and Bates, P.D., 2002. Evaluation of 1D and 2D numerical models for predicting river flood inundation. Journal of Hydrology, 268 (1–4), 87–99. doi:10.1016/S0022-1694(02)00121-X
  • Jung, H.C., et al., 2011. Analysis of the relationship between flooding area and water height in the Logone floodplain. Physics and Chemistry of the Earth, Parts A/B/C, 36 (7–8), 232–240. doi:10.1016/j.pce.2011.01.010
  • Kalyanapu, A.J., Burian, S.J., and McPherson, T.N., 2009. Effect of land use-based surface roughness on hydrologic model output. Journal of Spatial Hydrology, 9 (2), 51–71.
  • King, R.O., 2009. National flood insurance program: background, challenges, and financial status. Washington, DC: Congressional Research Service, Library of Congress.
  • Koltun, G.F. and Roberts, J.W., 1990. Techniques for estimating flood-peak discharges of rural, unregulated streams in Ohio. Department of the Interior, US Geological Survey, 89, 4126.
  • Krimm, R.W., 1996. Reducing flood losses in the United States. In: Proceedings of International Workshop on Floodplain Risk Management, 11–13 November, Hiroshima.
  • Krzysztofowicz, R., Karen, S.K., and Dou, L., 1994. Reliability of flood warning systems. Journal of Water Resources Planning and Management, 120 (6), 906–926. doi:10.1061/(ASCE)0733-9496(1994)120:6(906)
  • Leedal, D., et al., 2010. Visualization approaches for communicating real‐time flood forecasting level and inundation information. Journal of Flood Risk Management, 3 (2), 140–150. doi:10.1111/jfrm.2010.3.issue-2
  • Liggett, J.A. and Jean, A.C., 1975. Numerical methods of solution of the unsteady flow equations. Unsteady Flow in Open Channels, 1 (89), 182.
  • Lowe, A.S., 2003. The federal emergency management agency’s multi-hazard flood map modernization and the national map. Photogrammetric Engineering & Remote Sensing, 69 (10), 1133–1135. doi:10.14358/PERS.69.10.1133
  • Marks, K. and Bates, P., 2000. Integration of high-resolution topographic data with floodplain flow models. Hydrological Processes, 14 (11–12), 2109–2122. doi:10.1002/(ISSN)1099-1085
  • Merwade, V., et al., 2008. Uncertainty in flood inundation mapping: current issues and future directions. Journal of Hydrologic Engineering, 13 (7), 608–620. doi:10.1061/(ASCE)1084-0699(2008)13:7(608)
  • Merwade, V., Cook, A., and Coonrod, J., 2008. GIS techniques for creating river terrain models for hydrodynamic modeling and flood inundation mapping. Environmental Modelling & Software, 23 (10–11), 1300–1311.
  • Merz, B.A., Thieken, H., and Gocht, M., 2007. Flood risk mapping at the local scale: concepts and challenges. In: Flood risk management in Europe. Dordrecht: Springer, 231–251.
  • Moriasi, D., et al., 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE, 50 (3), 885–900. doi:10.13031/2013.23153
  • Nash, J.E. and Sutcliffe, J.V., 1970. River flow forecasting through conceptual models part I—A discussion of principles. Journal of Hydrology, 10 (3), 282–290. doi:10.1016/0022-1694(70)90255-6
  • Oegema, B.W. and McBean, E., 1987. A. Uncertainties in flood plain mapping. In: Application of frequency and risk in water resources. Dordrecht: Springer, 293–303.
  • Ohio Department of Administrative Services, 2007. Ohio Statewide Imagery Program [online]. Available from: http://ogrip.oit.ohio.gov/
  • Ostheimer, C.J., 2012. Development of a flood-warning system and flood-inundation mapping in Licking county, Ohio. Reston, VA: US Geological Survey, No. FHWA/OH-2012/4.
  • Pappenberger, F., et al., 2005. Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations. Journal of Hydrology, 302 (1–4), 46–69. doi:10.1016/j.jhydrol.2004.06.036
  • Pappenberger, F., et al., 2006. Influence of uncertain boundary conditions and model structure on flood inundation predictions. Advances in Water Resources, 29 (10), 1430–1449.
  • Parhi, P.K., Sankhua, R.N., and Roy, G.P., 2012. Calibration of channel roughness for Mahanadi River, (India) using HEC-RAS model. Journal of Water Resource and Protection, 4 (10), 847. doi:10.4236/jwarp.2012.410098
  • Perry, C.A., 2000. Significant floods in the United States during the 20th century-USGS measures a century of floods. Reston, VA: US Geological Survey, No. 024-00.
  • Pilgrim, D.H., 1976. Travel times and nonlinearity of flood runoff from tracer measurements on a small watershed. Water Resources Research, 12 (3), 487–496.
  • Re, M., 2011. Great natural catastrophes worldwide 1950–2010. Munich, Germany: Münchener Rückversicherungs-Gesellschaft, Geo Risks Research, NatCatSERVICE.
  • Samuels, P.G., 1990. Cross-section location in 1D models. In: W.R. White, ed. Proceedings of International Conference on River Flood Hydraulics. Chichester: John Wiley, 339–350.
  • Sanders, B.F., 2007. Evaluation of on-line DEMs for flood inundation modeling. Advances in Water Resources, 30 (8), 1831–1843.
  • Smemoe, C., Nelson, J., and Zundel, A., 2012. Developing a probabilistic flood plain boundary using HEC-1 and HEC-RAS. In: World Water and Environmental Resources Congress 2003, 23–26 June 2003, Philadelphia, PA. doi:10.1061/40685(2003)286
  • Tayefi, V., et al., 2007. A comparison of one‐and two‐dimensional approaches to modelling flood inundation over complex upland floodplains. Hydrological Processes, 21 (23), 3190–3202. doi:10.1002/(ISSN)1099-1085
  • Timbadiya, P.V., Patel, P.L., and Porey, P.D., 2011. Calibration of HEC-RAS model on prediction of flood for lower Tapi River, India. Journal of Water Resource and Protection, 3 (11), 805. doi:10.4236/jwarp.2011.311090
  • USACE (US Army Corps of Engineers), 2000. Revised report on Great Lakes open-coast flood levels [online]. Detroit, MI: USACE. Available from: https://www.michigan.gov/documents/deq/wrd-nfip-great-lakes-flood-levels-part1_564793_7.pdf
  • Whitehead, M.T. and Ostheimer, C.J., 2009. Development of a flood-warning system and flood-inundation mapping for the Blanchard river in Findlay, Ohio. Reston, VA: US Geological Survey, No. 2008-5234.

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