Frequency Analysis of Extreme Mean Annual Rainfall Events

Simple item page
dc.contributor.authorMasereka, E.M.
dc.contributor.authorOtieno, F.A.O.
dc.contributor.authorOchieng, G.M.
dc.contributor.authorSnymand, J.
dc.date.accessioned2023-03-15T19:28:38Z
dc.date.available2023-03-15T19:28:38Z
dc.date.issued2016
dc.description.abstractFrequency analysis of extreme mean annual rainfall events is important to water resource planners at catchment level because mean annual rainfall is an important parameter in determining mean annual runoff. Mean annual runoff is an important input in determining surface water available for water resource infrastructure development. The objective of this study was to carry out frequency analysis of extreme low mean annual rainfall events in 8 rainfall zones in the Sabie River catchment in South Africa. Peaks Below Threshold (PBT) method was applied to extract extreme low mean annual rainfall events from 85 year record. Candidate Model Identification Criterion (CMIC) and Least Sum of Statistic Model Selection Criterion (LSSMSC) were applied to identify the best fit models for the frequency analysis. Parameters were estimated by maximum likelihood method. Quantile-Quantile (Q-Q) and Probability-Probability (P-P) plots were applied to evaluate the performance of the model selection criteria. From the study, the quantiles at return periods of 5, 10, 25, 50, 100 and 200 years for each of 8 rainfall zones in Sabie River catchment were obtained. Based on the results of the study, no single probability distribution function or model is the best fit for frequency analysis of extreme low mean annual rainfall events in all 8 rainfall zones Sabie River catchment.en_US
dc.identifier.citationMasereka, E. M., Otieno, F. A. O., Ochieng, G. M., & Snyman, J. (2016). Frequency analysis of extreme mean annual rainfall events. In CIGR-AgEng Conference, 26-29 June 2016, Aarhus, Denmark. Abstracts and Full papers (pp. 1-7). Organising Committee, CIGR 2016.en_US
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/8207
dc.language.isoenen_US
dc.publisherOrganising Committee, CIGR 2016en_US
dc.subjectleast sum of statistics model selection criterionen_US
dc.subjectBest fit probability distribution functionen_US
dc.subjectCandidate model identification criterionen_US
dc.titleFrequency Analysis of Extreme Mean Annual Rainfall Eventsen_US
dc.typePresentationen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Frequency Analysis of Extreme Mean Annual Rainfall Events.pdf
Size:
354.92 KB
Format:
Adobe Portable Document Format
Description:
Frequency Analysis of Extreme Mean Annual Rainfall Events
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Engineering and Technology