SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:lup.lub.lu.se:94715871-f78a-4fc9-8308-152f3a62e6cb"
 

Search: onr:"swepub:oai:lup.lub.lu.se:94715871-f78a-4fc9-8308-152f3a62e6cb" > Credibility of desi...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

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

Aiyelokun, Oluwatobi (author)
University of Ibadan
Pham, Quoc Bao (author)
Thu Dau Mot University
Aiyelokun, Oluwafunbi (author)
Olivearc Solutions
show more...
Malik, Anurag (author)
Punjab Agricultural University
Adarsh, S. (author)
TKM College of Engineering
Mohammadi, Babak (author)
Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science
Linh, Nguyen Thi Thuy (author)
Thuyloi University
Zakwan, Mohammad (author)
Indian Institute of Technology, Roorkee
show less...
 (creator_code:org_t)
2021-07-19
2021
English.
In: Natural Hazards. - : Springer Science and Business Media LLC. - 0921-030X .- 1573-0840. ; 109:2, s. 1557-1588
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • 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.

Subject headings

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Naturgeografi (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Physical Geography (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Vattenteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Water Engineering (hsv//eng)

Keyword

Design rainfall estimates
Parametric bootstrap
Stochastic simulation
Two-dimensional Monte Carlo framework
Variability and uncertainty analysis

Publication and Content Type

art (subject category)
ref (subject category)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view