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Multi-objective Evaluation of Urban Drainage Networks Using a 1D/2D Flood Inundation Model

Author

Listed:
  • Carlos Martínez

    (University of Magdalena
    IHE-Delft Institute for Water Education)

  • Arlex Sanchez

    (IHE-Delft Institute for Water Education)

  • Beheshtah Toloh

    (IHE-Delft Institute for Water Education)

  • Zoran Vojinovic

    (IHE-Delft Institute for Water Education)

Abstract

The present paper describes a framework for the evaluation of a drainage system’s capacity in order to get a better understanding of the interactions between three rehabilitation measures: the Upgrading of Pipes (UP), Distributed Storage (DS) and the combination of both (UP+DS). It is posed as a multi-objective optimisation problem with the aim of minimising rehabilitation costs and flood damage. The approach of Expected Annual Damage Cost (EADC) was also introduced as the probabilistic cost caused by floods for a number of probable flood events (i.e. the accumulation of damage during a timeframe). The study combines computational tools such as a 1D/2D flood inundation model and an optimisation engine in the loop to compute potential damages for different rainfall events and to optimise combinations of rehabilitation measures. The advantages of this approach are demonstrated on a real-life case study in Dhaka City, Bangladesh. The optimal solutions confirm the usefulness and effectiveness of the proposed approach where both rehabilitation and damage costs are reduced by the optimal implementation of the UP and DS measures. In addition, the results of the proposed EADC approach indicate a damage cost reduction of at least 56% by implementing UP and of 27% by implementing DS, and both measures have lower rehabilitation costs. The proposed approach can be found appealing to water/wastewater utilities who are often challenged to achieve optimal design and rehabilitation of urban drainage systems.

Suggested Citation

  • Carlos Martínez & Arlex Sanchez & Beheshtah Toloh & Zoran Vojinovic, 2018. "Multi-objective Evaluation of Urban Drainage Networks Using a 1D/2D Flood Inundation Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(13), pages 4329-4343, October.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:13:d:10.1007_s11269-018-2054-x
    DOI: 10.1007/s11269-018-2054-x
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    References listed on IDEAS

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    1. Huan-Feng Duan & Fei Li & Hexiang Yan, 2016. "Multi-Objective Optimal Design of Detention Tanks in the Urban Stormwater Drainage System: LID Implementation and Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4635-4648, October.
    2. Kimberly Artita & Prakash Kaini & John Nicklow, 2013. "Examining the Possibilities: Generating Alternative Watershed-Scale BMP Designs with Evolutionary Algorithms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(11), pages 3849-3863, September.
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    Cited by:

    1. Jiun-Huei Jang, 2023. "Optimizing the Cleaning Strategies to Reduce the Flood Risk Increased by Gully Blockages," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(4), pages 1747-1763, March.
    2. Omid Seyedashraf & Andrea Bottacin-Busolin & Julien J. Harou, 2021. "Many-Objective Optimization of Sustainable Drainage Systems in Urban Areas with Different Surface Slopes," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2449-2464, June.
    3. Linhan Yang & Jianzhu Li & Aiqing Kang & Shuai Li & Ping Feng, 2020. "The Effect of Nonstationarity in Rainfall on Urban Flooding Based on Coupling SWMM and MIKE21," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(4), pages 1535-1551, March.
    4. Ruozhou Lin & Feifei Zheng & Yiyi Ma & Huan-Feng Duan & Shipeng Chu & Zhengzhi Deng, 2022. "Impact of Spatial Variation and Uncertainty of Rainfall Intensity on Urban Flooding Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5655-5673, November.
    5. Dongwei Qiu & Hao Xu & Dean Luo & Qing Ye & Shaofu Li & Tong Wang & Keliang Ding, 2020. "A rainwater control optimization design approach for airports based on a self-organizing feature map neural network model," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-23, January.
    6. Stefan Reinstaller & Fabian Funke & Albert Willhelm König & Markus Pichler & Manfred Kleidorfer & Dirk Muschalla, 2024. "Resilient Urban Flood Management: A Multi-Objective Assessment of Mitigation Strategies," Sustainability, MDPI, vol. 16(10), pages 1-24, May.

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