Stochastic generation of hourly rainstorm events in Johor
Engineers and researchers in water-related studies are often faced with the problem of having insufficient and long rainfall record. Practical and effective methods must be developed to generate unavailable data from limited available data. Therefore, this paper presents a Monte-Carlo based stochast...
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| Format: | Conference or Workshop Item |
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2015
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| author | Nojumuddin, Nur Syereena Yusof, Fadhilah Yusop, Zulkifli |
| author_facet | Nojumuddin, Nur Syereena Yusof, Fadhilah Yusop, Zulkifli |
| author_sort | Nojumuddin, Nur Syereena |
| collection | ePrints |
| description | Engineers and researchers in water-related studies are often faced with the problem of having insufficient and long rainfall record. Practical and effective methods must be developed to generate unavailable data from limited available data. Therefore, this paper presents a Monte-Carlo based stochastic hourly rainfall generation model to complement the unavailable data. The Monte Carlo simulation used in this study is based on the best fit of storm characteristics. Hence, by using the Maximum Likelihood Estimation (MLE) and Anderson Darling goodness-of-fit test, lognormal appeared to be the best rainfall distribution. Therefore, the Monte Carlo simulation based on lognormal distribution was used in the study. The proposed model was verified by comparing the statistical moments of rainstorm characteristics from the combination of the observed rainstorm events under 10 years and simulated rainstorm events under 30 years of rainfall records with those under the entire 40 years of observed rainfall data based on the hourly rainfall data at the station J1 in Johor over the period of 1972-2011. The absolute percentage error of the duration-depth, duration-inter-event time and depth-inter-event time will be used as the accuracy test. The results showed the first four product-moments of the observed rainstorm characteristics were close with the simulated rainstorm characteristics. The proposed model can be used as a basis to derive rainfall intensity-duration frequency in Johor. |
| first_indexed | 2024-03-05T19:45:31Z |
| format | Conference or Workshop Item |
| id | utm.eprints-59485 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:45:31Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | utm.eprints-594852021-11-24T08:42:25Z http://eprints.utm.my/59485/ Stochastic generation of hourly rainstorm events in Johor Nojumuddin, Nur Syereena Yusof, Fadhilah Yusop, Zulkifli QA Mathematics Engineers and researchers in water-related studies are often faced with the problem of having insufficient and long rainfall record. Practical and effective methods must be developed to generate unavailable data from limited available data. Therefore, this paper presents a Monte-Carlo based stochastic hourly rainfall generation model to complement the unavailable data. The Monte Carlo simulation used in this study is based on the best fit of storm characteristics. Hence, by using the Maximum Likelihood Estimation (MLE) and Anderson Darling goodness-of-fit test, lognormal appeared to be the best rainfall distribution. Therefore, the Monte Carlo simulation based on lognormal distribution was used in the study. The proposed model was verified by comparing the statistical moments of rainstorm characteristics from the combination of the observed rainstorm events under 10 years and simulated rainstorm events under 30 years of rainfall records with those under the entire 40 years of observed rainfall data based on the hourly rainfall data at the station J1 in Johor over the period of 1972-2011. The absolute percentage error of the duration-depth, duration-inter-event time and depth-inter-event time will be used as the accuracy test. The results showed the first four product-moments of the observed rainstorm characteristics were close with the simulated rainstorm characteristics. The proposed model can be used as a basis to derive rainfall intensity-duration frequency in Johor. 2015 Conference or Workshop Item PeerReviewed Nojumuddin, Nur Syereena and Yusof, Fadhilah and Yusop, Zulkifli (2015) Stochastic generation of hourly rainstorm events in Johor. In: 2nd ISM International Statistical Conference 2014: Empowering the Applications of Statistical and Mathematical Sciences, ISM 2014, 12-14 Aug 2014, Kuantan, Pahang. http://dx.doi.org/10.1063/1.4907437 |
| spellingShingle | QA Mathematics Nojumuddin, Nur Syereena Yusof, Fadhilah Yusop, Zulkifli Stochastic generation of hourly rainstorm events in Johor |
| title | Stochastic generation of hourly rainstorm events in Johor |
| title_full | Stochastic generation of hourly rainstorm events in Johor |
| title_fullStr | Stochastic generation of hourly rainstorm events in Johor |
| title_full_unstemmed | Stochastic generation of hourly rainstorm events in Johor |
| title_short | Stochastic generation of hourly rainstorm events in Johor |
| title_sort | stochastic generation of hourly rainstorm events in johor |
| topic | QA Mathematics |
| work_keys_str_mv | AT nojumuddinnursyereena stochasticgenerationofhourlyrainstormeventsinjohor AT yusoffadhilah stochasticgenerationofhourlyrainstormeventsinjohor AT yusopzulkifli stochasticgenerationofhourlyrainstormeventsinjohor |