A stochastic rainfall generator model for simulation of daily rainfall events in Kurau catchment: model testing
Reservoirs play a substantial role in meeting water demands in arid and semi-arid regions especially with increasing changes in global rainfall patterns. Kurau catchment located at Northwest Perak, Malaysia, is the largest source of water to Bukit Merah Reservoir. Based on climate change effects on...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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International Society for Horticultural Science
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/60739/1/A%20stochastic%20rainfall%20generator%20model%20for%20simulation%20of%20daily%20rainfall%20events%20in%20Kurau%20catchment%20model%20testing.pdf |
| _version_ | 1825932236784926720 |
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| author | Mohammadsime Fadhil, Rasha Kamal, Md Rowshon Ahmad, Desa Abdullah, Ahmad Fikri Wayayok, Aimrun |
| author_facet | Mohammadsime Fadhil, Rasha Kamal, Md Rowshon Ahmad, Desa Abdullah, Ahmad Fikri Wayayok, Aimrun |
| author_sort | Mohammadsime Fadhil, Rasha |
| collection | UPM |
| description | Reservoirs play a substantial role in meeting water demands in arid and semi-arid regions especially with increasing changes in global rainfall patterns. Kurau catchment located at Northwest Perak, Malaysia, is the largest source of water to Bukit Merah Reservoir. Based on climate change effects on rainfall pattern, it is important to develop a model to simulate rainfall occurrence and amount that flow into the reservoir. To address this problem, a stochastic rainfall generator model based on first-order two-state Markov chain approach was developed to simulate long-term daily rainfall series. Rainfall time series for a 30-year period (1976-2006) was assessed. The observed time series data were used as input to the stochastic model to generate a new set of daily time series data. The statistical properties of the new set of data including monthly mean, standard deviation, dry and wet spell lengths were compared with the observed data to gauge the model accuracy. The results obtained were satisfactory, giving motivation in applying the model for generating future rainfall series under different climate change scenarios. |
| first_indexed | 2024-03-06T09:38:53Z |
| format | Article |
| id | upm.eprints-60739 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:38:53Z |
| publishDate | 2017 |
| publisher | International Society for Horticultural Science |
| record_format | dspace |
| spelling | upm.eprints-607392019-03-28T05:12:38Z http://psasir.upm.edu.my/id/eprint/60739/ A stochastic rainfall generator model for simulation of daily rainfall events in Kurau catchment: model testing Mohammadsime Fadhil, Rasha Kamal, Md Rowshon Ahmad, Desa Abdullah, Ahmad Fikri Wayayok, Aimrun Reservoirs play a substantial role in meeting water demands in arid and semi-arid regions especially with increasing changes in global rainfall patterns. Kurau catchment located at Northwest Perak, Malaysia, is the largest source of water to Bukit Merah Reservoir. Based on climate change effects on rainfall pattern, it is important to develop a model to simulate rainfall occurrence and amount that flow into the reservoir. To address this problem, a stochastic rainfall generator model based on first-order two-state Markov chain approach was developed to simulate long-term daily rainfall series. Rainfall time series for a 30-year period (1976-2006) was assessed. The observed time series data were used as input to the stochastic model to generate a new set of daily time series data. The statistical properties of the new set of data including monthly mean, standard deviation, dry and wet spell lengths were compared with the observed data to gauge the model accuracy. The results obtained were satisfactory, giving motivation in applying the model for generating future rainfall series under different climate change scenarios. International Society for Horticultural Science 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/60739/1/A%20stochastic%20rainfall%20generator%20model%20for%20simulation%20of%20daily%20rainfall%20events%20in%20Kurau%20catchment%20model%20testing.pdf Mohammadsime Fadhil, Rasha and Kamal, Md Rowshon and Ahmad, Desa and Abdullah, Ahmad Fikri and Wayayok, Aimrun (2017) A stochastic rainfall generator model for simulation of daily rainfall events in Kurau catchment: model testing. Acta Horticulturae, 1152. pp. 1-10. ISSN 0567-7572 https://www.ishs.org/ishs-article/1152_1 10.17660/ActaHortic.2017.1152.1 |
| spellingShingle | Mohammadsime Fadhil, Rasha Kamal, Md Rowshon Ahmad, Desa Abdullah, Ahmad Fikri Wayayok, Aimrun A stochastic rainfall generator model for simulation of daily rainfall events in Kurau catchment: model testing |
| title | A stochastic rainfall generator model for simulation of daily rainfall events in Kurau catchment: model testing |
| title_full | A stochastic rainfall generator model for simulation of daily rainfall events in Kurau catchment: model testing |
| title_fullStr | A stochastic rainfall generator model for simulation of daily rainfall events in Kurau catchment: model testing |
| title_full_unstemmed | A stochastic rainfall generator model for simulation of daily rainfall events in Kurau catchment: model testing |
| title_short | A stochastic rainfall generator model for simulation of daily rainfall events in Kurau catchment: model testing |
| title_sort | stochastic rainfall generator model for simulation of daily rainfall events in kurau catchment model testing |
| url | http://psasir.upm.edu.my/id/eprint/60739/1/A%20stochastic%20rainfall%20generator%20model%20for%20simulation%20of%20daily%20rainfall%20events%20in%20Kurau%20catchment%20model%20testing.pdf |
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