Please use this identifier to cite or link to this item: http://210.212.227.212:8080/xmlui/handle/123456789/76
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dc.contributor.authorAdarsh, S-
dc.date.accessioned2021-09-09T04:53:30Z-
dc.date.available2021-09-09T04:53:30Z-
dc.date.issued2021-07-19-
dc.identifier.citationAiyelokun, O., Pham, Q.B., Aiyelokun, O. et al. Credibility of design rainfall estimates for drainage infrastructures: extent of disregard in Nigeria and proposed framework for practice. Nat Hazards (2021). https://doi.org/10.1007/s11069-021-04889-1en_US
dc.identifier.uri10.1007/s11069-021-04889-1-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/76-
dc.description.abstractRainfall intensity or depth estimates are vital input for hydrologic and hydraulic models used in designing drainage infrastructures. Unfortunately, these estimates are suscepti ble to diferent 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 diferent 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 food ing is not equal for each variability indicator across a large spatial region. Hence, to opti mize informed decision-making regarding food risk reduction by risk assessor, variability and uncertainty of rainfall estimates should be assessed spatially to minimize erroneous deductions.en_US
dc.language.isoenen_US
dc.publisherNatural Hazardsen_US
dc.subjectStochastic simulationen_US
dc.subjectDesign rainfall estimatesen_US
dc.subjectParametric bootstrapen_US
dc.subjectVariability and uncertainty analysisen_US
dc.subjectTwo-dimensional Monte Carlo frameworken_US
dc.titleCredibility of design rainfall estimates for drainage infrastructures: extent of disregard in Nigeria and proposed framework for practiceen_US
dc.typeArticleen_US
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