|
|
|
|
LEADER |
01619 am a22001453u 4500 |
001 |
47840 |
042 |
|
|
|a dc
|
100 |
1 |
0 |
|a Ho, Ming Kang
|e author
|
700 |
1 |
0 |
|a Yusof, Fadhilah
|e author
|
245 |
0 |
0 |
|a Determination of best-fit distribution and rainfall events in Damansara and Kelantan, Malaysia
|
260 |
|
|
|c 2013.
|
856 |
|
|
|z Get fulltext
|u http://eprints.utm.my/id/eprint/47840/1/HoMingKang2013_DeterminationofBest-fitDistributionandRainfallEvents.pdf
|
520 |
|
|
|a This paper presents a study to determine the best-f it distribution to represent the rainfall process in Damansara and Kelantan, Malaysi a. Three probability density functions, namely Wakeby distribution, Generalized Extreme Val ue function (GEV) and two-parameter Weibull distributions are selected and compared. Th e parameters of the distributions are estimated using L-moments method while the best-fit distribution is determined by using Kolmogorov-Smirnov goodness-of-fit test. In additio n, weighted-average algorithm which is based on the probability values from the stations i n Damansara and Kelantan is used to identify the occurrence of wet and dry events in th e rainfall data. The impact of different distributions used in the determination of rainfall events is evaluated by making comparison between the actual and the reconstructed rainfall d ata. The results indicate that the Wakeby distribution is the best-fit distribution to explai n the rainfall patterns in Damansara and Kelantan. However, Wakeby, GEV and Weibull distribu tions perform equally well in the estimation of wet and dry events in Damansara and Kelantan.
|
546 |
|
|
|a en
|
650 |
0 |
4 |
|a QC Physics
|