Markov chain-mixed exponential model for daily rainfall in Hong Kong
In this study, we applied a stochastic rainfall model which is capable in generating synthetic daily rainfall sequences that exhibit similar characteristics to observed data, thereby assessing the amount of rainfall over a specific period. The model utilized for this purpose is the Markov Chain Mi...
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| Format: | Final Year Project / Dissertation / Thesis |
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2023
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| Online Access: | http://eprints.utar.edu.my/6334/ http://eprints.utar.edu.my/6334/1/Project_Report_XuYuchen_.pdf |
| _version_ | 1848886649414483968 |
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| author | Xu, YuChen |
| author_facet | Xu, YuChen |
| author_sort | Xu, YuChen |
| building | UTAR Institutional Repository |
| collection | Online Access |
| description | In this study, we applied a stochastic rainfall model which is capable in generating synthetic daily rainfall sequences that exhibit similar characteristics to observed data, thereby assessing the amount of rainfall over a specific period. The model utilized for this purpose is the Markov
Chain Mixing Index (MCME). This model integrates both rainfall occurrence, represented by a first-order two-state Markov chain, and rainfall distribution, described by a mixture index distribution. The feasibility of the MCME model was evaluated using daily rainfall data collected from 15 stations in Hong Kong over a 20-year record period
(2003-2022). The evaluation revealed that the proposed MCME model adequately captures both the occurrence and quantity of rainfall across all stations. Various statistical analysis were implemented to analyze the rainfall data. In conclusion, the validation results indicate that while the
model effectively describes the characteristics of rainfall and able to simulate the rainfall based on the parameters estimated.
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| first_indexed | 2025-11-15T19:41:51Z |
| format | Final Year Project / Dissertation / Thesis |
| id | utar-6334 |
| institution | Universiti Tunku Abdul Rahman |
| institution_category | Local University |
| last_indexed | 2025-11-15T19:41:51Z |
| publishDate | 2023 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utar-63342024-04-14T09:59:47Z Markov chain-mixed exponential model for daily rainfall in Hong Kong Xu, YuChen HA Statistics QA Mathematics In this study, we applied a stochastic rainfall model which is capable in generating synthetic daily rainfall sequences that exhibit similar characteristics to observed data, thereby assessing the amount of rainfall over a specific period. The model utilized for this purpose is the Markov Chain Mixing Index (MCME). This model integrates both rainfall occurrence, represented by a first-order two-state Markov chain, and rainfall distribution, described by a mixture index distribution. The feasibility of the MCME model was evaluated using daily rainfall data collected from 15 stations in Hong Kong over a 20-year record period (2003-2022). The evaluation revealed that the proposed MCME model adequately captures both the occurrence and quantity of rainfall across all stations. Various statistical analysis were implemented to analyze the rainfall data. In conclusion, the validation results indicate that while the model effectively describes the characteristics of rainfall and able to simulate the rainfall based on the parameters estimated. 2023 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6334/1/Project_Report_XuYuchen_.pdf Xu, YuChen (2023) Markov chain-mixed exponential model for daily rainfall in Hong Kong. Master dissertation/thesis, UTAR. http://eprints.utar.edu.my/6334/ |
| spellingShingle | HA Statistics QA Mathematics Xu, YuChen Markov chain-mixed exponential model for daily rainfall in Hong Kong |
| title | Markov chain-mixed exponential model for daily rainfall in Hong Kong |
| title_full | Markov chain-mixed exponential model for daily rainfall in Hong Kong |
| title_fullStr | Markov chain-mixed exponential model for daily rainfall in Hong Kong |
| title_full_unstemmed | Markov chain-mixed exponential model for daily rainfall in Hong Kong |
| title_short | Markov chain-mixed exponential model for daily rainfall in Hong Kong |
| title_sort | markov chain-mixed exponential model for daily rainfall in hong kong |
| topic | HA Statistics QA Mathematics |
| url | http://eprints.utar.edu.my/6334/ http://eprints.utar.edu.my/6334/1/Project_Report_XuYuchen_.pdf |