Technical Papers
Feb 26, 2016

Method for Incorporating Morphological Sensitivity into Flood Inundation Modeling

Publication: Journal of Hydraulic Engineering
Volume 142, Issue 6

Abstract

Typically, the analysis and design of fluvial flood defence schemes is based on a single N year extreme flow event using a single survey of the river channel and flood plains. Adopting this approach assumes that the channel capacity is identical for all subsequent N year events. If one assumes that the typical design life for a flood defence scheme is of the order of 50 years, then such an approach is flawed because river channel morphology, and hence flood conveyance, may change considerably over this time scale. Therefore, to provide a more robust estimate of future flood inundation, a sensitivity analysis of these changes should be undertaken. This paper proposes a modeling methodology that combines a stochastic model, for estimating streamflow throughout the design period, and a 1D sediment transport model (HEC-RAS), to enable this sensitivity to be included in flood inundation modeling and defence scheme design. The methodology is demonstrated through conceptual implementation to evaluate the change in water surface elevation (WSE) along an alluvial river (River Caldew, England) reach after 50 years of sediment transport. Changes in WSE are assessed when the reach is natural (no flood defences) and modified (with idealized flood defences). Results show that the construction of the flood defence scheme does not alter the overall morphological pattern of the reach but can significantly increase (260%) local aggradation. Additionally, 50 years of morphological change have the potential to increase WSE such that high flows, previously confined within the channel, can overtop the banks and become flood events; and that, the standard freeboard levels of the flood defence scheme may be insufficient to prevent overtopping when morphological change is considered. The method can be considered as a semiquantitative modeling methodology to account for the sediment-related sensitivity of flood risk management; and provides valuable insights into the potential magnitude that this has on future flood inundation.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This research was carried out as part of the Engineering and Physical Sciences Research Council funded Flood MEMORY grant EP/K013513/1 held by HH. The authors thank the National River Flow Archive and the Environment Agency for the provision of the flow, cross-sectional and sediment data that enabled the work to be undertaken. Finally, the authors express their gratitude to the reviewers whose constructive comments improved the original manuscript.

References

Ackers, P., and White, W. R. (1973). “Sediment transport: New approach and analysis.” J. Hydraul. Div., 99(11), 2040–2060.
Ayres. (2010). “Channel stability analysis of the lower American River, Folsom dam to the confluence Sacramento, California.”, Sacramento District by Ayres Associates, Sacramento, CA.
Baum, L. E., and Petrie, T. (1966). “Statistical inference for probabilistic functions of finite state Markov chains.” Ann. Math. Stat., 37(6), 1554–1563.
Beven, K., and Binley, A. (1992). “The future of distributed models: Model calibration and uncertainty prediction.” Hydrol. Processes, 6(3), 279–298.
Beven, K., Leedal, D., and McCarthy, S. (2011). “Framework for assessing uncertainty in fluvial flood risk mapping.”, FRMRC, U.K.
Callaghan, D. P., Ranasinghe, R., and Roelvink, D. (2013). “Probabilistic estimation of storm erosion using analytical, semi-empirical, and process based storm erosion models.” Coastal Eng., 82, 64–75.
Cao, Z., and Carling, P. A. (2002a). “Mathematical modelling of alluvial rivers: Reality and myth. Part 1: General review.” Proc. ICE-Water Marit. Eng., 154(3), 207–219.
Cao, Z., and Carling, P. A. (2002b). “Mathematical modelling of alluvial rivers: Reality and myth. Part 2: Special issues.” Proc. ICE-Water Marit. Eng., 154(4), 297–307.
Cao, Z., Li, Z., Pender, G., and Hu, P. (2012). “Non-capacity or capacity model for fluvial sediment transport.” Proc. ICE-Water Manage., 165(4), 193–211.
Chow, V. T. (1959). Open-channel hydraulics, McGraw-Hill, New York.
Digimap. (2015). 〈http://digimap.edina.ac.uk/〉 (Jun. 3, 2014).
Environment Agency. (2000). “Fluvial freeboard guidance note.”, Swindon, Wilts.
Evans, E., et al. (2008). “An update of the foresight future flooding 2004 qualitative risk analysis.” Cabinet Office, London.
Ghahramani, Z. (2001). “An introdution to hidden Markov models and Bayesian networks.” Int. J. Pattern Recogn. Artif. Intell., 15(1), 9–42.
Gibson, S., Brunner, G., Piper, S., and Jensen, M. (2006). “Sediment transport computations with HEC-RAS.” Proc., 8th Federal Interagency Sedimentation Conf., Reno, NV, Advisory Committee on Water Information, Washington, DC.
GSTARS. [Computer software]. Univ. of Colorado, Fort Collins, CO.
HEC-RAS. [Computer software]. Dept. of the Army Corps of Engineers, Davis, CA.
Horritt, M. S., Bates, P. D., Fewtrell, T. J., Mason, D. C., and Wilson, M. D. (2010). “Modelling the hydraulics of the Carlisle 2005 flood event.” Proc. ICE-Water Manage., 163(6), 273–281.
Hughes, J. P., Guttorp, P., and Charles, S. P. (1999). “A non-homogeneous hidden Markov model for precipitation occurrence.” J. R. Stat. Soc. Ser. C Appl. Stat., 48(1), 15–30.
Jacobs. (2007). “Caldew and Carlisle city flood alleviation scheme: Geomorphology and sediment modelling.” Glasgow, U.K.
Jenkins, D. P., Patidar, S., and Simpson, S. A. (2014). “Synthesising electrical demand profiles for UK dwellings.” Energy Build., 76, 605–614.
Jung, Y., and Merwade, V. (2012). “Uncertainty quantification in flood inundation mapping using generalized likelihood uncertainty estimate and sensitivity analysis.” J. Hydrol. Eng., 507–520.
Lane, S. N., Tayefi, V., Reid, S. C., Yu, D., and Hardy, R. J. (2007). “Interactions between sediment delivery, channel change, climate change and flood risk in a temperate upland environment.” Earth Surf. Processes Landforms, 32(3), 429–446.
Mason, D. C., Bates, P. D., and Dall’Amico, J. T. (2009). “Calibration of uncertain flood inundation models using remotely sensed water levels.” J. Hydrol., 368(1-4), 224–236.
McIntyre, N., and Thorne, C. (2013). “Land use management effects on flood flows and sediments: Guidance on prediction.” CIRIA, London.
Merwade, V., Olivera, F., Arabi, M., and Edleman, S. (2008). “Uncertainty in flood inundation mapping: Current issues and future directions.” J. Hydrol. Eng., 608–620.
Meyer-Peter, B., and Muller, T. (1948). “Formulas for bedload transport.” Rep. on 2nd Meeting of Int. Association for Hydraulics Research, IAHR, Madrid, Spain.
Neal, J., Keef, C., Bates, P., Beven, K., and Leedal, D. (2013). “Probabilistic flood risk mapping including spatial dependence.” Hydrol. Processes, 27(9), 1349–1363.
Neal, J. C., Bates, P. D., Fewtrell, T. J., Hunter, N. M., Wilson, M. D., and Horritt, M. S. (2009). “Distributed whole city water level measurements from the Carlisle 2005 urban flood event and comparison with hydraulic model simulations.” J. Hydrol., 368(1-4), 42–55.
Neuhold, C., Stanzel, P., and Nachtnebel, H. P. (2009). “Incorporating river morphological changes to flood risk assessment: Uncertainties, methodology and application.” Nat. Hazard. Earth Syst. Sci., 9(3), 789–799.
Ordnance Survey. (2015). 〈http://www.ordnancesurvey.co.uk/〉 (Jun. 3, 2014).
Pender, D., Patidar, S., Pender, G., and Haynes, H. (2016). “Stochastic simulation of daily streamflow sequences using a hidden Markov model.” Hydrol. Res., 47(1), 75–88.
Pender, D., Shvidchenko, A., Haynes, H., and Pender, G. (2014). “The influence of flood sequencing on the morphology and bed composition of the American River, California, USA.” Proc., 7th IAHR River Flow Conf., IAHR, Madrid, Spain.
Rabiner, L. R. (1989). “A tutorial on hidden Markov models and selected applications in speech recognition.” Proc. IEEE, 77(2), 257–286.
Ranasinghe, R., Callaghan, D., and Roelvink, J. A. (2013). “Does a more sophisticated storm erosion model improve probabilistic erosion estimates?” Proc., 7th Int. Conf. on Coastal Dynamics, Bordeaux Univ., Bordeaux, France, 1277–1286.
Ranasinghe, R., Callaghan, D., and Stive, M. J. F. (2012). “Estimating coastal recession due to sea level rise: Beyond the Bruun rule.” Clim. Change, 110(3–4), 561–574.
Raven, E. K., Lane, S. N., Ferguson, R. I., and Bracken, L. J. (2009). “The spatial and temporal patterns of aggradation in a temperate, upland, gravel-bed river.” Earth Surf. Processes Landforms, 34(9), 1181–1197.
Shvidchenko, A. B., and Pender, G. (2008). “Computer modelling of graded sediments in rivers.” Proc. ICE-Water Manage., 161(5), 289–297.
Stover, S. C., and Montgomery, D. R. (2001). “Channel change and flooding, Skokomish River, Washington.” J. Hydrol., 243(3-4), 272–286.
Thyer, M., and Kuczera, G. (2000). “Modeling long-term persistence in hydroclimatic time series using a hidden state Markov model.” Water Resour. Res., 36(11), 3301–3310.
USACE. (2010). HEC-RAS river analysis system: Hydraulic reference manual, Davis, CA.
Yang, C. T. (1972). “Unit stream power and sediment transport.” J. Hydraul. Div., 98(HY10), 1805–1826.

Information & Authors

Information

Published In

Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 142Issue 6June 2016

History

Received: Nov 25, 2014
Accepted: Nov 5, 2015
Published online: Feb 26, 2016
Published in print: Jun 1, 2016
Discussion open until: Jul 26, 2016

Permissions

Request permissions for this article.

Authors

Affiliations

Douglas Pender [email protected]
Research Associate, Water Academy, Institute for Infrastructure and Environment, Heriot Watt Univ., Edinburgh EH14 4AS, U.K. (corresponding author). E-mail: [email protected]; [email protected]
Sandhya Patidar
Lecturer, Water Academy, Institute for Infrastructure and Environment, Heriot Watt Univ., Edinburgh EH14 4AS, U.K.
Kazi Hassan
Research Associate, Water Academy, Institute for Infrastructure and Environment, Heriot Watt Univ., Edinburgh EH14 4AS, U.K.
Heather Haynes
Associate Professor, Water Academy, Institute for Infrastructure and Environment, Heriot Watt Univ., Edinburgh EH14 4AS, U.K.

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share