Modelling the time variance of the river bed roughness coefficient for improved simulation of water levels

References

• Abbott, M. and Ionescu, F., 1967. On the numerical computation of nearly-horizontal flows. Journal of Hydraulics Research, 5, 97–117. doi:10.1080/00221686709500195
   Google Scholar
• Abril, B., 2003. Benchmark comparisons of the analytical and finite element solutions of the SKM. UK: University of Birmingham, Technical Report EPSRC Research Grant – GR/R54880/01.
   Google Scholar
• Anderson, B.G., Rutherfurd, I.D., and Western, A.W., 2006. An analysis of the influence of riparian vegetation on the propagation of flood waves. Environmental Modelling & Software, 21 (9), 1290–1296. doi:10.1016/j.envsoft.2005.04.027
   Web of Science ®Google Scholar
• Arcement, G. and Schneider, V., 1984. Guide for selecting Manning's roughness coefficients for natural channels and flood plains. [FHWA-TS-84-204]. Washington, DC: Federal Highway Administration.
   Google Scholar
• Aricò, C., Nasello, C., and Tucciarelli, T., 2009. Using unsteady-state water level data to estimate channel roughness and discharge hydrograph. Advances in Water Resources, 32 (8), 1223–1240. doi: 10.1016/j.advwatres.2009.05.001
   Web of Science ®Google Scholar
• Aricò, C., et al., 2010. Discharge estimation in open channels by means of water level hydrograph analysis. Journal of Hydraulic Research, 48 (5), 612–619. doi:10.1080/00221686.2010.507352
   Web of Science ®Google Scholar
• Aronica, G., Hankin, B., and Beven, K., 1998. Uncertainty and equifinality in calibrating distributed roughness coefficients in a flood propagation model with limited data. Advances in Water Resources, 22 (4), 349–365. doi:10.1016/S0309-1708(98)00017-7
   Web of Science ®Google Scholar
• Bakry, M.F., Gates, T.K., and Khattab, A.F., 1992. Field-measured hydraulic resistance characteristics in vegetation-infested canals. Journal of Irrigation and Drainage Engineering, 118 (2), 256–274. doi: 10.1061/(ASCE)0733-9437(1992)118:2(256)
   Web of Science ®Google Scholar
• Barnett, A. and Shamseldin, A., 2009. Hydraulic effects of Riparian Plantings. [TR 2009/096]. Auckland: Auckland Regional Council.
   Google Scholar
• De Doncker, L., et al., 2011. Deriving the relationship among discharge, biomass and Manning's coefficient through a calibration approach. Hydrological Processes, 25 (12), 1979–1995. doi:10.1002/hyp.7978
   Web of Science ®Google Scholar
• DEFRA/EA, 2002. Reduce Uncertainty in River Flood Conveyance. Interim Report 2: Review of methods for Estimating Conveyance. [W5A - 057]. Bristol, UK: Environment Agency.
   Google Scholar
• DHI, 2011. MIKE11 reference manual. Hørsholm, Denmark: DHI Water & Environment.
   Google Scholar
• Ervine, D.A., Babaeyan-Koopaei, K., and Sellin, H.J., 2000. Two-dimensional solution for straight and meandering overbank flows. Journal of Hydraulic Engineering, 126 (9), 653–669. doi: 10.1061/(ASCE)0733-9429(2000)126:9(653)
   Web of Science ®Google Scholar
• Gurnell, A.M. and Midgley, P., 1994. Aquatic weed growth and flow resistance – influence on the relationship between discharge and stage over a 25 year river gauging station record. Hydrological Processes, 8 (1), 63–73. doi:10.1002/hyp.3360080105
   Web of Science ®Google Scholar
• Green, J.C., 2005. Modelling flow resistance in vegetated streams: review and development of new theory. Hydrological Processes, 19 (6), 1245–1259. doi:10.1002/hyp.5564
   Web of Science ®Google Scholar
• Green, J.C., 2006. Effect of macrophyte spatial variability on channel resistance. Advances in Water Resources, 29 (3), 426–438. doi:10.1016/j.advwatres.2005.05.010
   Web of Science ®Google Scholar
• Järvelä, J., 2002. Flow resistance of flexible and stiff vegetation: a flume study with natural plants. Journal of Hydrology, 269 (1–2), 44–54. doi:10.1016/S0022-1694(02)00193-2
   Web of Science ®Google Scholar
• Keupers, I. and Willems, P., 2013. Impact of urban WWTP and CSO fluxes on river peak flow extremes under current and future climate conditions. Water Science and Technology, 67 (12), 2670–2676. doi:10.2166/wst.2013.147
   PubMed Web of Science ®Google Scholar
• King, A.M., 2011. Effects of Aquatic Macrophyte Cover on Bed Roughness in the Shasta River, California. Thesis (PhD). University of California.
   Google Scholar
• 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
   Google Scholar
• Pham, N., et al., 2011. Effects of submerged tropical macrophytes on flow resistance and velocity profiles in open channels. International Journal of River Basin Management, 9, 195–203. doi:10.1080/15715124.2011.648775
   Google Scholar
• Preissmann, A., 1961. Propagation des intumescences dans les canaux et rivières. Presented at the 1st Congress of the French Association for Computation, Grenoble, France, 1961.
   Google Scholar
• Schulz, M., et al., 2003. The influence of macrophytes on sedimentation and nutrient retention in the lower River Spree (Germany). Water Research, 37 (3), 569–578. doi:10.1016/S0043-1354(02)00276-2
   PubMed Web of Science ®Google Scholar
• Straatsma, M.W., et al., 2013. Uncertainty in hydromorphological and ecological modelling of lowland river floodplains resulting from land cover classification errors. Environmental Modelling & Software, 42, 17–29. doi:10.1016/j.envsoft.2012.11.014
   Web of Science ®Google Scholar
• Vansteenkiste, T., et al., 2014. Intercomparison of climate scenario impact predictions by a lumped and distributed model ensemble. Journal of Hydrology, 511, 335–349. doi:10.1016/j.jhydrol.2014.01.050
   Web of Science ®Google Scholar
• Watson, D., 1987. Hydraulic effects of aquatic weeds in UK rivers. Regulated Rivers: Research & Management, 1, 211–227. doi:10.1002/rrr.3450010303
   Google Scholar
• Whitehead, E., Brown, P., and Hollinrake, P., 1992. The hydraulic resistance of vegetated channels. [Report SR 305]. Oxfordshire, UK: HR Wallingford.
   Google Scholar
• Wijns, K. and Wilkin, N., 2007. Hydrologische en hydraulische studie van het stroomgebied van de waterlopen Mol Neet, Scheppelijke Neet en Oude Neet van tweede categorie Deelrapport 1: Inventarisatie en hydrologie van het stroomgebied van de Mol Neet, Scheppelijke Neet en Oude Neet. Mechelen, Belgium: Haskoning, 816747/R/kw/Mech. [in Dutch].
   Google Scholar
• Willems, P., 2009. A time series tool to support the multi-criteria performance evaluation of rainfall-runoff models. Environmental Modelling & Software, 24 (3), 311–321. doi:10.1016/j.envsoft.2008.09.005
   Web of Science ®Google Scholar
• Willems, P., 2014. Parsimonious rainfall-runoff model construction supported by time series processing and validation of hydrological extremes – part 1: step-wise model-structure identification and calibration approach. Journal of Hydrology, 510, 578–590. doi:10.1016/j.jhydrol.2014.01.017
   Web of Science ®Google Scholar
• Wilson, C., 2007. Flow resistance models for flexible submerged vegetation. Journal of Hydrology, 342 (3–4), 213–222. doi:10.1016/j.jhydrol.2007.04.022
   Web of Science ®Google Scholar
• Woldeamlak, S., Batelaan, O., and De Smedt, F., 2007. Effects of climate change on the groundwater system in the Grote-Nete catchment, Belgium. Hydrogeology Journal, 15, 891–90. doi:10.1007/s10040-006-0145-x
   Web of Science ®Google Scholar