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Assessment of reduced-complexity landscape evolution model suitability to adequately simulate flood events in complex flow conditions

Author

Listed:
  • Bouchra Zellou

    (University Med V)

  • Hassane Rahali

    (University Med V)

Abstract

Flood hazard modeling is an important task for decision making in the flood management aiming at preventing human and material losses. There is therefore a pressing need for reliable predictive tools in order to identify flood-prone areas. Recently, with the increase in cheap computational power, most studies in this context use one- or two-dimensional (1-D, 2-D) deterministic hydraulic models, which provide estimates of the flood extent and depth with satisfactory accuracy at reduced time. These models, however, capture only a relatively small fraction of the active processes by simulating flood without consideration of morphological change, while 2-D/3-D hydro-morphodynamic solutions are more realistic by considering the influences of channel and floodplain morphologies to simulate inundation flow. This research seeks to assess the suitability of a landscape evolution model (LEM) to simulate adequately the hydraulics of flood events in a real case scenario. We opted to use the 2-D model cellular automaton evolutionary slope and river (CAESAR) which is originally a LEM that has recently undergone a real evolution by integrating the hydrodynamic flow routing algorithm LISFLOOD-FP (LF). CAESAR-LISFLOOD (CAESAR-LF) is a reduced-complexity and depth-integrated 2-D storage cell model that simulates flow and sediment transport in response to hydrological inputs. The area is an urban reach of the river Bouregreg (Morocco) having a large and swampy floodplain with complex topography. Performance of the reduced-complexity model CAESAR-LF in flood mapping is investigated and benchmarked against the one-dimensional (1-D) hydraulic model Hydrologic Engineering Center River Analysis System (HEC-RAS). Combined climate and hydrologic modeling were used to generate input flow data for hydraulic models. The results from both approaches agree well and show a relative good consistency in estimating flood extent and magnitude. Some differences occur, but these can easily be explained as a result of unavoidable differences in concepts and implementation.

Suggested Citation

  • Bouchra Zellou & Hassane Rahali, 2017. "Assessment of reduced-complexity landscape evolution model suitability to adequately simulate flood events in complex flow conditions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 1-29, March.
    • Handle: RePEc:spr:nathaz:v:86:y:2017:i:1:d:10.1007_s11069-016-2671-8
    DOI: 10.1007/s11069-016-2671-8
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    References listed on IDEAS

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    1. Jorge A. Ramirez & Michal Lichter & Tom J. Coulthard & Chris Skinner, 2016. "Hyper-resolution mapping of regional storm surge and tide flooding: comparison of static and dynamic models," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 571-590, May.
    2. Hauke Jan & Kossowski Tomasz, 2011. "Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data," Quaestiones Geographicae, Sciendo, vol. 30(2), pages 87-93, June.
    3. Prime, Thomas & Brown, Jennifer M. & Plater, Andrew J., 2016. "Flood inundation uncertainty: The case of a 0.5% annual probability flood event," Environmental Science & Policy, Elsevier, vol. 59(C), pages 1-9.
    4. anonymous, 1988. "Revisions effective September 19, 1988," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Oct, pages 652664-6526.
    5. anonymous, 1988. "Proposed revision," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Feb, pages 111-111.
    6. anonymous, 1988. "Proposed revisions," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Nov, pages 752-752.
    7. anonymous, 1988. "Proposed revision," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Feb, pages 111-111.
    8. anonymous, 1988. "Proposed revision," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Feb, pages 111-111.
    9. Chris Paola & Mike Leeder, 2011. "Simplicity versus complexity," Nature, Nature, vol. 469(7328), pages 38-39, January.
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