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Optimizing the Cleaning Strategies to Reduce the Flood Risk Increased by Gully Blockages

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  • Jiun-Huei Jang

    (National Cheng Kung University)

Abstract

The blockages in gully systems increase the flood risk in urban areas because less surface water can be drained into the sewer pipes beneath. Since a gully system comprises three components of street inlets, gully channels, and lateral tubes, it has been challenging to study the cleaning strategies when multiple gully components are simultaneously blocked, especially when considering the complex interactions in hydraulics and optimization. In this study, we adopted a sophisticated hydraulic model to simulate water transportation across surface, gully, and sewer layers under 16 scenarios with different blockage ratios of gully components for a rainstorm event in 2017 in Taipei City, Taiwan. The results are regressed and served as objective functions in nonlinear programming to obtain optimal cleaning strategies for each gully component that minimize surface floodwater volumes under different frequencies and budgets. The regression results show that floodwater volumes increase the most with the blockage of gully channels compared to the blockages of other components; however, the optimization analysis indicates that street inlets should be cleaned first for having the lowest cost. Compared with the increase of budget, the increase of cleaning frequency is more cost-effective because it prevents the nonlinear increase of floodwater volume at high gully blockage ratios. This research provides a guideline for the cleaning of a gully system in which the blockages of different components must be removed in a sequential manner in order to minimize flood risk.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:waterr:v:37:y:2023:i:4:d:10.1007_s11269-023-03452-w
    DOI: 10.1007/s11269-023-03452-w
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    References listed on IDEAS

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    1. 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.
    2. Chen, Yujie & Cowling, Peter & Polack, Fiona & Remde, Stephen & Mourdjis, Philip, 2017. "Dynamic optimisation of preventative and corrective maintenance schedules for a large scale urban drainage system," European Journal of Operational Research, Elsevier, vol. 257(2), pages 494-510.
    3. J. Yazdi, 2018. "Improving Urban Drainage Systems Resiliency Against Unexpected Blockages: A Probabilistic Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(14), pages 4561-4573, November.
    4. M. Reddy & D. Kumar, 2006. "Optimal Reservoir Operation Using Multi-Objective Evolutionary Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(6), pages 861-878, December.
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    Keywords

    Inlet; Gully; Sewer; Flood; Blockage; Cleaning;
    All these keywords.

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