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DEM Uncertainty Based Coastal Flood Inundation Modeling Considering Water Quality Impacts

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  • M. Karamouz

    (University of Tehran)

  • F. Fooladi Mahani

    (University of Tehran)

Abstract

Wastewater Treatment plants (WWTPs) are among the most critical infrastructures in coastal cities and are subject to failure due to extreme flooding events. Failure of these systems could result in combined sewer overflow (CSO), where the stormwater inundation is getting mixed with wastewater. Digital Elevation Model (DEM) as an essential input for quantifying flooding inundation is subject to uncertainties. In this study, the coastal modeling is performed to estimate flood water level, including wave setup, in an ungauged location, by Delft-3D model. Gridded surface subsurface hydrologic analysis (GSSHA) is used to model and map the extent of inundation and stormwater accumulation. Bivariate analysis of annual/extreme water levels in an ungauged location and the rainfall time series at a nearby station is used to find the 100-year joint design values. Selected major historical storms/hurricanes in the last 50 years are used for this assessment. Furthermore, the impacts of flooding on the state of WWTP functionality are analyzed considering three failure scenarios and the resulting quantity and quality of CSOs. For uncertainty analysis, another 2D hydrodynamic model called LISFLOOD-FP is used, which is less computationally intensive than GSSHA. It is used along with a sequential Gaussian simulation (SGS) algorithm to quantify the effect of DEM error uncertainties on the assessment of flood inundation. A probability map is prepared that shows the full extent of flooding, including the less probable area to be flooded. The proposed algorithm is applied to the southern coast of Brooklyn and the Coney Island WWTP in that area. The results show that how the simulation of ungauged water level data as well as the development of an uncertainty-based flood inundation modeling as well as consideration for water quality impacts could significantly improve our ability for better flood preparedness planning in the coastal cities.

Suggested Citation

  • M. Karamouz & F. Fooladi Mahani, 2021. "DEM Uncertainty Based Coastal Flood Inundation Modeling Considering Water Quality Impacts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3083-3103, August.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:10:d:10.1007_s11269-021-02849-9
    DOI: 10.1007/s11269-021-02849-9
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    1. Sofia Melo Vasconcellos & Masato Kobiyama & Fernanda Stachowski Dagostin & Claudia Weber Corseuil & Vinicius Santana Castiglio, 2021. "Flood Hazard Mapping in Alluvial Fans with Computational Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(5), pages 1463-1478, March.
    2. Linyin Cheng & Amir AghaKouchak & Eric Gilleland & Richard Katz, 2014. "Non-stationary extreme value analysis in a changing climate," Climatic Change, Springer, vol. 127(2), pages 353-369, November.
    3. 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.
    4. Bingyao Li & Jingming Hou & Donglai Li & Dong Yang & Hao Han & Xu Bi & Xinghua Wang & Reinhard Hinkelmann & Junqiang Xia, 2021. "Application of LiDAR UAV for High-Resolution Flood Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(5), pages 1433-1447, March.
    5. Javier X Leon & Gerard B M Heuvelink & Stuart R Phinn, 2014. "Incorporating DEM Uncertainty in Coastal Inundation Mapping," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-12, September.
    6. Mohammad Karamouz & Helia Farzaneh & Mehri Dolatshahi, 2020. "Margin of Safety Based Flood Reliability Evaluation of Wastewater Treatment Plants: Part 1 – Basic Concepts and Statistical Settings," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 579-594, January.
    7. Mohammad Karamouz & Helia Farzaneh, 2020. "Margin of Safety Based Flood Reliability Evaluation of Wastewater Treatment Plants: Part 2- Quantification of Reliability Attributes," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(6), pages 2043-2059, April.
    8. Kui Xu & Chao Ma & Jijian Lian & Lingling Bin, 2014. "Joint Probability Analysis of Extreme Precipitation and Storm Tide in a Coastal City under Changing Environment," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-11, October.
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    2. Zhicheng Qu & Yunzhao Li & Junbao Yu & Jisong Yang & Miao Yu & Di Zhou & Xuehong Wang & Zhikang Wang & Yang Yu & Yuanqing Ma & Yuhan Zou & Yue Ling, 2022. "Influence of Gate Dams on Yellow River Delta Wetlands," Land, MDPI, vol. 11(5), pages 1-18, May.

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