Abstract
Assessment of extreme rainfall for a given return period is considered as one of the important aspects while planning, design and management of hydraulic and civil structures, which can be estimated through deterministic, probabilistic and transformation methods. This paper presents a study on intercomparison of five data transformation methods such as Square Root, Cube Root, Logarithmic, Box-Cox and modified SMEMAX (Small, MEdian, MAXimum) applied in assessing the extreme (i.e., 1-day maximum) rainfall of Gaganbawada, Lanja and Radhanagari sites. The adequacy of fitting transformation methods to the observed data was evaluated through a non-parametric Goodness-of-Fit test, Kolmogorov-Smirnov (KS) while the Relative Mean Squared Error (RMSE) was used for the selection of most suitable method for estimation of rainfall. The outcomes of the study with KS test results and RMSE values showed that the Square Root transformation is better suited method for the assessment of extreme rainfall for all three sites.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
