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Relationship Between Rainfall Duration and Sewer System Performance Measures Within the Context of Uncertainty

Author

Listed:
  • Bartosz Szeląg

    (Kielce University of Technology)

  • Adam Kiczko

    (Warsaw University of Life Science (WULS-SGGW))

  • Grzegorz Łagód

    (Lublin University of Technology)

  • Francesco Paola

    (University of Naples Federico II)

Abstract

Urbanization and climate change have resulted in an increase in catchment runoff, often exceeding the designed capacity of sewer systems. The decision to modernize a sewer system should be based on appropriate criteria. In engineering practice, the above is commonly achieved using a hydrodynamic model of the catchment and the simulation of various rainfall events. The article presents a methodology to analyze the effect of rainfall characteristics parametrized with intensity-duration-frequency (IDF) curves in regard to performance measures of sewerage networks (flood volume per unit impervious surface and share of overfilled manholes in the sewerage network) accounting for the model uncertainty determined via the generalized likelihood uncertainty estimation (GLUE) method. An urban catchment was modeled with the Storm Water Management Model (SWMM). Analyses showed that the model uncertainty exerts a large impact on certain measures of sewage network operation. Therefore, these measures should be analyzed in similar studies. This is very important at the stage of decision making in regard to the modernization and sustainable development of catchments. It was found that among the model parameters, the Manning roughness coefficient of sewer channels yields a key impact on the specific flood volume, while the area of impervious surfaces yields the greatest impact on the share of overflowed manholes.

Suggested Citation

  • Bartosz Szeląg & Adam Kiczko & Grzegorz Łagód & Francesco Paola, 2021. "Relationship Between Rainfall Duration and Sewer System Performance Measures Within the Context of Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(15), pages 5073-5087, December.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:15:d:10.1007_s11269-021-02998-x
    DOI: 10.1007/s11269-021-02998-x
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    References listed on IDEAS

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    1. Yongwei Gong & Xiaoning Li & Dandan Zhai & Dingkun Yin & Ruining Song & Junqi Li & Xing Fang & Donghai Yuan, 2018. "Influence of Rainfall, Model Parameters and Routing Methods on Stormwater Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(2), pages 735-750, January.
    2. Wei Zhang & Tian Li, 2015. "The Influence of Objective Function and Acceptability Threshold on Uncertainty Assessment of an Urban Drainage Hydraulic Model with Generalized Likelihood Uncertainty Estimation Methodology," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(6), pages 2059-2072, April.
    3. José Matheus Bezerra Santos Amorim & Saulo de Tarso Marques Bezerra & Maísa Mendonça Silva & Lyanne Cibely Oliveira Sousa, 2020. "Multicriteria Decision Support for Selection of Alternatives Directed to Integrated Urban Water Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(13), pages 4253-4269, October.
    4. Álvaro Sordo-Ward & Isabel Granados & Francisco Martín-Carrasco & Luis Garrote, 2016. "Impact of Hydrological Uncertainty on Water Management Decisions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5535-5551, November.
    5. 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.
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    Cited by:

    1. Fahad Alzahrani & Ousmane Seidou & Abdullah Alodah, 2022. "Assessment and Improvement of IDF Generation Algorithms Used in the IDF_CC Tool," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4591-4606, September.

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