Development of a design rainfall model using ams and pds in Peninsular Malaysia / Chang Kian Boon
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 Malays...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | أطروحة |
| منشور في: |
2014
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://studentsrepo.um.edu.my/8739/1/Thesis.pdf http://studentsrepo.um.edu.my/8739/4/Thesis.pdf http://studentsrepo.um.edu.my/8739/ |
| الوسوم: |
إضافة وسم
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| الملخص: | 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. |
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