Date of Award
1-1-2014
Thesis Type
masters
Document Type
Thesis
Divisions
eng
Department
Faculty of Engineering
Institution
University of Malaya
Abstract
In recent years, flood issues have become more frequent in Peninsular Malaysia. This study is focused on the determination of a better approach for deriving rainfall intensityduration- frequency (IDF) relationship in Peninsular Malaysia, based on 60 selected rainfall stations in Peninsular Malaysia by using two data series: annual maxima series (AMS) and partial duration series (PDS), with their corresponding statistical distribution: generalized extreme value (GEV) distribution and generalized Pareto (GPA) distribution. Besides, the minimum inter-event time (MIT) for separation of rainfall events in Peninsular Malaysia need to be identified for extracting PDS. After some preliminary studies, it is found that to achieve these goals, 3 software packages must be developed as the amount of work required for extracting rainfall data and performing analysis are enormous: RainEMT (for extraction of rainfall data), RainIDF (for derivation of IDF relationship) and RainMap (to display design rainfall effectively). These softwares have been developed and the results of this study show that an MIT of 6 hours is suitable for separating rainfall events for extraction of PDS, and the model based on fitting PDS to the GPA distribution is found to be more suitable than the model based on fitting AMS with the GEV distribution for deriving rainfall IDF relationship in Peninsular Malaysia.
Note
Thesis (M.Eng.)-Faculty of Engineering, University of Malaya, 2014.
Recommended Citation
Chang, Kian Boon, "Development of a design rainfall model using ams and pds in Peninsular Malaysia / Chang Kian Boon" (2014). Student Works (2010-2019). 2661.
https://knova.um.edu.my/student_works_2010s/2661