The probability distribution of annual maximum hourly and daily rainfall in Kemaman
The world’s most catastrophic and repetitive event is known to be flood, which extremely affects the health, safety, welfare and economy of community. Malaysia has experienced uttermost rainfall events during the monsoon seasons that last for several hours and consequently lead to flash flood. The l...
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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/27841/1/The%20probability%20distribution%20of%20annual%20maximum%20hourly%20and%20daily%20rainfall.pdf http://umpir.ump.edu.my/id/eprint/27841/ https://efind.ump.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=90901 |
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| Summary: | The world’s most catastrophic and repetitive event is known to be flood, which extremely affects the health, safety, welfare and economy of community. Malaysia has experienced uttermost rainfall events during the monsoon seasons that last for several hours and consequently lead to flash flood. The location of interest of this study is Kemaman district of Terengganu, Malaysia since it undergoes the unforeseeable loss and brunt every year due to extreme intensity of rainfall. Annual maximum hourly and daily rainfall data at nine stations in Kemaman district are collected and the probability distributions are analysed for these set of data. The objectives of this study are: (i) to perform the probability distribution analysis using Log-Pearson Type III Distribution and Gumbel Distribution for annual maximum hourly and daily rainfall in Kemaman, (ii) to estimate the most appropriate probability distribution for annual maximum hourly and daily rainfall in Kemaman and (iii) to estimate the annual maximum hourly and daily rainfall intensity for selected return periods. In this study, the goodness of fit test for the distribution are tested using Kolmogorov-Smirnov and Anderson-Darling tests. Based on the output generated for fitness tests, Log-Pearson Type III Distribution proves to be the most appropriate probability distribution function for annual maximum hourly and daily rainfall for Kemaman district. The estimated extreme rainfall intensity for various return period can be used as the basic inputs in hydrologic design such as in the design of storm sewers culverts and other hydraulic structures as well as inputs to rainfall runoff models. |
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