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Credibility of design rainfall estimates for drainage infrastructures: extent of disregard in Nigeria and proposed framework for practice

Author

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  • Oluwatobi Aiyelokun

    (University of Ibadan)

  • Quoc Bao Pham

    (Thu Dau Mot University)

  • Oluwafunbi Aiyelokun

    (Olivearc Solutions)

  • Anurag Malik

    (Regional Research Station)

  • S. Adarsh

    (TKM College of Engineering)

  • Babak Mohammadi

    (Lund University)

  • Nguyen Thi Thuy Linh

    (Thuyloi University)

  • Mohammad Zakwan

    (IIT)

Abstract

Rainfall intensity or depth estimates are vital input for hydrologic and hydraulic models used in designing drainage infrastructures. Unfortunately, these estimates are susceptible to different sources of uncertainties including climate change, which could have high implications on the cost and design of hydraulic structures. This study adopts a systematic literature review to ascertain the disregard of credibility assessment of rainfall estimates in Nigeria. Thereafter, a simple framework for informing the practice of reliability check of rainfall estimates was proposed using freely available open-source tools and applied to the north central region of Nigeria. The study revealed through a synthesis matrix that in the last decade, both empirical and theoretical methods have been applied in predicting design rainfall intensities or depths for different frequencies across Nigeria, but none of the selected studies assessed the credibility of the design estimates. This study has established through the application of the proposed framework that drainage infrastructure designed in the study area using 100–1000-year return periods are more susceptible to error. And that the extent of the credibility of quantitative estimates of extreme rains leading to flooding is not equal for each variability indicator across a large spatial region. Hence, to optimize informed decision-making regarding flood risk reduction by risk assessor, variability and uncertainty of rainfall estimates should be assessed spatially to minimize erroneous deductions.

Suggested Citation

  • Oluwatobi Aiyelokun & Quoc Bao Pham & Oluwafunbi Aiyelokun & Anurag Malik & S. Adarsh & Babak Mohammadi & Nguyen Thi Thuy Linh & Mohammad Zakwan, 2021. "Credibility of design rainfall estimates for drainage infrastructures: extent of disregard in Nigeria and proposed framework for practice," 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. 109(2), pages 1557-1588, November.
  • Handle: RePEc:spr:nathaz:v:109:y:2021:i:2:d:10.1007_s11069-021-04889-1
    DOI: 10.1007/s11069-021-04889-1
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    References listed on IDEAS

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    1. Marie Laure Delignette-Muller & Christophe Dutang, 2015. "fitdistrplus : An R Package for Fitting Distributions," Post-Print hal-01616147, HAL.
    2. T. K. Drissia & V. Jothiprakash & A. B. Anitha, 2019. "Flood Frequency Analysis Using L Moments: a Comparison between At-Site and Regional Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(3), pages 1013-1037, February.
    3. Yi-Ming Hu & Zhong-Min Liang & Bin-Quan Li & Zhong-Bo Yu, 2013. "Uncertainty Assessment of Hydrological Frequency Analysis Using Bootstrap Method," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-7, June.
    4. Delignette-Muller, Marie Laure & Dutang, Christophe, 2015. "fitdistrplus: An R Package for Fitting Distributions," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 64(i04).
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    Cited by:

    1. Yanwei Sun & Qingyun Li & Furong Yu & Mingwei Ma & Cundong Xu, 2023. "Assessing Hydrological Performances of Bioretention Cells to Meet the LID Goals," Sustainability, MDPI, vol. 15(5), pages 1-14, February.

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