IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v30y2016i2d10.1007_s11269-015-1193-6.html
   My bibliography  Save this article

Application of a Three-Dimensional Unstructured-Mesh Finite-Element Flooding Model and Comparison with Two-Dimensional Approaches

Author

Listed:
  • Ting Zhang

    (Tianjin University
    Imperial College London)

  • Ping Feng

    (Tianjin University)

  • Čedo Maksimović

    (Imperial College of London)

  • Paul D. Bates

    (University of Bristol)

Abstract

Urban flood modelling plays a key role in assessment of flood risk in urban areas by providing detailed information of the flooding process (e.g. location, depth and velocity of flooding). Accurate modelling results are the basis of reliable flood risk evaluation. In this paper, modelling of a flood event in a densely urbanized area within the city of Glasgow is presented. Modelling is performed using a new three-dimensional (3D) flooding model, which is an unstructured mesh, finite element model that solves the Navier-Stokes equations, and developed based on Fluidity. The terrain data considered comes from a 2 m Light Detection and Ranging (LiDAR) Digital Terrain Model (DTM) and aerial imagery. The model is validated with flood inundation area and flow features, and sensitivity analyses are conducted to identify the mesh resolution required for accuracy purposes and the effect of the uncertainty in the inflow discharge. Good agreement has been achieved when comparing the results with those published in other 2D shallow water models in ponded areas. However, larger vertical velocity (>0.2 m/s) and larger differences between the 3D and 2D models can be observed in areas with greater topographic gradients (>3 %). Finally, performance of the proposed 3D flooding model has been analysed. Through the modelling of a real flooding event this paper helps illustrate the case that 3D modelling techniques are promising to improve accuracy and obtain more detailed information related to urban flooding dynamics, which is useful in urban flood control planning and risk management. To the best of our knowledge, this is the first paper to apply a 3D unstructured mesh finite-element model (FEM model) to a real urban flooding event. It highlights some of the differences between the 3D and 2D urban flood modelling results.

Suggested Citation

  • Ting Zhang & Ping Feng & Čedo Maksimović & Paul D. Bates, 2016. "Application of a Three-Dimensional Unstructured-Mesh Finite-Element Flooding Model and Comparison with Two-Dimensional Approaches," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 823-841, January.
  • Handle: RePEc:spr:waterr:v:30:y:2016:i:2:d:10.1007_s11269-015-1193-6
    DOI: 10.1007/s11269-015-1193-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-015-1193-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11269-015-1193-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Vasilis Bellos & George Tsakiris, 2015. "Comparing Various Methods of Building Representation for 2D Flood Modelling In Built-Up Areas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(2), pages 379-397, January.
    2. Jie Liu & Shao-yu Wang & Dong-mei Li, 2014. "The Analysis of the Impact of Land-Use Changes on Flood Exposure of Wuhan in Yangtze River Basin, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(9), pages 2507-2522, July.
    3. S. Shahapure & T. Eldho & E. Rao, 2010. "Coastal Urban Flood Simulation Using FEM, GIS and Remote Sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(13), pages 3615-3640, October.
    4. A. Rao & Indu Jain & M. Murthy & T. Murty & S. Dube, 2009. "Impact of cyclonic wind field on interaction of surge–wave computations using finite-element and finite-difference 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. 49(2), pages 225-239, May.
    5. George Tsakiris & Vasilis Bellos, 2014. "A Numerical Model for Two-Dimensional Flood Routing in Complex Terrains," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(5), pages 1277-1291, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ting Zhang & Ping Feng & Čedo Maksimović & Paul Bates, 2016. "Application of a Three-Dimensional Unstructured-Mesh Finite-Element Flooding Model and Comparison with Two-Dimensional Approaches," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 823-841, January.
    2. Vasilis Bellos & Ino Papageorgaki & Ioannis Kourtis & Harris Vangelis & Ioannis Kalogiros & George Tsakiris, 2020. "Reconstruction of a flash flood event using a 2D hydrodynamic model under spatial and temporal variability of storm," 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. 101(3), pages 711-726, April.
    3. José Pinho & Rui Ferreira & Luís Vieira & Dirk Schwanenberg, 2015. "Comparison Between Two Hydrodynamic Models for Flooding Simulations at River Lima Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(2), pages 431-444, January.
    4. Hriday Mani Kalita, 2016. "A New Total Variation Diminishing Predictor Corrector Approach for Two-Dimensional Shallow Water Flow," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1481-1497, March.
    5. Hriday Kalita, 2016. "A New Total Variation Diminishing Predictor Corrector Approach for Two-Dimensional Shallow Water Flow," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1481-1497, March.
    6. Francesco Macchione & Gianluca De Lorenzo & Pierfranco Costabile & Babak Razdar, 2016. "The Power Function for Representing the Reservoir Rating Curve: Morphological Meaning and Suitability for Dam Breach Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4861-4881, October.
    7. Ismail Haltas & Sebnem Elçi & Gokmen Tayfur, 2016. "Numerical Simulation of Flood Wave Propagation in Two-Dimensions in Densely Populated Urban Areas due to Dam Break," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(15), pages 5699-5721, December.
    8. Kun Cheng & Qiang Fu & Xi Chen & Tianxiao Li & Qiuxiang Jiang & Xiaosong Ma & Ke Zhao, 2015. "Adaptive Allocation Modeling for a Complex System of Regional Water and Land Resources Based on Information Entropy and its Application," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 4977-4993, November.
    9. Hriday Mani Kalita, 2020. "A Numerical Model for 1D Bed Morphology Calculations," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(15), pages 4975-4989, December.
    10. A. D. Rao & Puja Upadhaya & Smita Pandey & Jismy Poulose, 2020. "Simulation of extreme water levels in response to tropical cyclones along the Indian coast: a climate change perspective," 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. 100(1), pages 151-172, January.
    11. Ismail Haltas & Gokmen Tayfur & Sebnem Elci, 2016. "Two-dimensional numerical modeling of flood wave propagation in an urban area due to Ürkmez dam-break, İzmir, Turkey," 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. 81(3), pages 2103-2119, April.
    12. Qingyu Huang & Jun Wang & Mengya Li & Moli Fei & Jungang Dong, 2017. "Modeling the influence of urbanization on urban pluvial flooding: a scenario-based case study in Shanghai, China," 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. 87(2), pages 1035-1055, June.
    13. Song-Yue Yang & Shaohua Marko Hsu & Ching Hsiao & Che-Hao Chang, 2023. "Digital elevation models for high-resolution base flood elevation mapping in a densely populated city," 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. 116(2), pages 2693-2716, March.
    14. Zhihui Li & Keyu Song & Lu Peng, 2021. "Flood Risk Assessment under Land Use and Climate Change in Wuhan City of the Yangtze River Basin, China," Land, MDPI, vol. 10(8), pages 1-16, August.
    15. Seong Yun Cho & Heejun Chang, 2017. "Recent research approaches to urban flood vulnerability, 2006–2016," 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. 88(1), pages 633-649, August.
    16. Fahad, Md Golam Rabbani & Nazari, Rouzbeh & Motamedi, M.H. & Karimi, Maryam, 2022. "A Decision-Making Framework Integrating Fluid and Solid Systems to Assess Resilience of Coastal Communities Experiencing Extreme Storm Events," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    17. M. Viola & C. Mello & S. Beskow & L. Norton, 2014. "Impacts of Land-use Changes on the Hydrology of the Grande River Basin Headwaters, Southeastern Brazil," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4537-4550, October.
    18. J. Teng & J. Vaze & D. Dutta & S. Marvanek, 2015. "Rapid Inundation Modelling in Large Floodplains Using LiDAR DEM," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2619-2636, June.
    19. Vasilis Bellos & George Tsakiris, 2015. "Comparing Various Methods of Building Representation for 2D Flood Modelling In Built-Up Areas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(2), pages 379-397, January.
    20. Santiago Gaitan & Marie-claire ten Veldhuis & Nick Giesen, 2015. "Spatial Distribution of Flood Incidents Along Urban Overland Flow-Paths," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3387-3399, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:30:y:2016:i:2:d:10.1007_s11269-015-1193-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.