A Stochastic Model of Daily Rainfall for Universiti Pertanian Malaysia, Serdang.
An application of stochastic process for describing and analysing daily the rainfall pattern at Universiti Pertanian Malaysia (V.P.M.), Serdang, is presented. A model based on the first-order Markov chain was developed. The model uses historical rainfall data to estimate the markov transition prob...
| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
1981
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| Online Access: | http://psasir.upm.edu.my/id/eprint/2079/ http://psasir.upm.edu.my/id/eprint/2079/1/A_Stochastic_Model_of_Daily_Rainfall_for_Universiti.pdf |
| _version_ | 1848839144690679808 |
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| author | Bardaie, Muhamad Zohadie Abdul Salam, Ahmad Che |
| author_facet | Bardaie, Muhamad Zohadie Abdul Salam, Ahmad Che |
| author_sort | Bardaie, Muhamad Zohadie |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | An application of stochastic process for describing and analysing daily the rainfall pattern at Universiti
Pertanian Malaysia (V.P.M.), Serdang, is presented. A model based on the first-order Markov chain was
developed. The model uses historical rainfall data to estimate the markov transition probabilities. The
year is divided into four seasons, each is represented by a separate transition probability matrix. The range
of rainfall values is divided into eleven states, thus resulting in a 11 X 11 transition probability matrix for
each season. The model is capable of simulating a daily rainfall record of any length for the area. It is evaluated
by comparing the simulation result with observed data for a one-year period. |
| first_indexed | 2025-11-15T07:06:47Z |
| format | Article |
| id | upm-2079 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T07:06:47Z |
| publishDate | 1981 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-20792013-05-27T06:58:41Z http://psasir.upm.edu.my/id/eprint/2079/ A Stochastic Model of Daily Rainfall for Universiti Pertanian Malaysia, Serdang. Bardaie, Muhamad Zohadie Abdul Salam, Ahmad Che An application of stochastic process for describing and analysing daily the rainfall pattern at Universiti Pertanian Malaysia (V.P.M.), Serdang, is presented. A model based on the first-order Markov chain was developed. The model uses historical rainfall data to estimate the markov transition probabilities. The year is divided into four seasons, each is represented by a separate transition probability matrix. The range of rainfall values is divided into eleven states, thus resulting in a 11 X 11 transition probability matrix for each season. The model is capable of simulating a daily rainfall record of any length for the area. It is evaluated by comparing the simulation result with observed data for a one-year period. 1981 Article NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/2079/1/A_Stochastic_Model_of_Daily_Rainfall_for_Universiti.pdf Bardaie, Muhamad Zohadie and Abdul Salam, Ahmad Che (1981) A Stochastic Model of Daily Rainfall for Universiti Pertanian Malaysia, Serdang. Pertanika, 4 (1). pp. 1-9. English |
| spellingShingle | Bardaie, Muhamad Zohadie Abdul Salam, Ahmad Che A Stochastic Model of Daily Rainfall for Universiti Pertanian Malaysia, Serdang. |
| title | A Stochastic Model of Daily Rainfall for Universiti
Pertanian Malaysia, Serdang. |
| title_full | A Stochastic Model of Daily Rainfall for Universiti
Pertanian Malaysia, Serdang. |
| title_fullStr | A Stochastic Model of Daily Rainfall for Universiti
Pertanian Malaysia, Serdang. |
| title_full_unstemmed | A Stochastic Model of Daily Rainfall for Universiti
Pertanian Malaysia, Serdang. |
| title_short | A Stochastic Model of Daily Rainfall for Universiti
Pertanian Malaysia, Serdang. |
| title_sort | stochastic model of daily rainfall for universiti
pertanian malaysia, serdang. |
| url | http://psasir.upm.edu.my/id/eprint/2079/ http://psasir.upm.edu.my/id/eprint/2079/1/A_Stochastic_Model_of_Daily_Rainfall_for_Universiti.pdf |