Lisa Rahayu, - (2023) The Short Scale (Hourly) Rainfall Modeling For Intensity Based On Storm Analysis Events (SEA) Using Some Probability Distributions. International Journal of Mathematics Trends and Technology, 68. ISSN 2231-5373
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The Short Scale (Hourly) Rainfall Modeling For Intensity Based On Storm Analysis Events (SEA) Using Some Probability Distributions.pdf Download (4MB) | Preview |
Abstract
Storm amount (SA), storm intensity (SI), and storm duration (SD) are three external measurements that can be used to describe short-scale rainfall modeling based on storm process. This study displays the distribution that fits the SI series the best, which is based on hourly rainfall data from 1970 to 2008 at the Alor Setar station in Peninsular Malaysia. Gamma, Weibull, and Log Normal distributions with two parameters are taken into consideration. The Bayesian Maximum Likelihood (MLE) approach is used to determine these distributions' parameters. Then it is determined how well theoretical data and model distributions fit one another (GOF). The outcome demonstrates that the stations discovered that the MLE method may provide the best SI modeling, specifically for Log-Normal distribution. We can reliably forecast the future risks associated with the SI based on the stated model.
| Item Type: | Article |
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| Subjects: | 500 Ilmu-ilmu Alam dan Matematika > 510 Matematika |
| Divisions: | Fakultas Sains dan Teknologi > Matematika |
| Depositing User: | fsains - |
| Date Deposited: | 31 Jan 2023 01:15 |
| Last Modified: | 31 Jan 2023 01:15 |
| URI: | http://repository.uin-suska.ac.id/id/eprint/68702 |
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