Rainfall-funoff modelling in batang layar and oya sub-catchments using pre-developed ann model for tinjar catchment
Artificial Neural Network (ANN) has been widely used to forecast Rainfall-Runoff relationships. Many ANN has been developed by experts in order to forecast RainfallRunoff relationships in certain catchment. However, there are uncertainties whether the developed ANN can be used to forecast Rainfall-...
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| Format: | Final Year Project Report / IMRAD |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak, UNIMAS
2009
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| Online Access: | http://ir.unimas.my/id/eprint/4562/ http://ir.unimas.my/id/eprint/4562/1/AWANGKU%20FAIZAL%20SALLEHIN%20BIN%20AWANGKU%20BRAHIM%2024pgs.pdf http://ir.unimas.my/id/eprint/4562/3/Awangku%20Faizal%20ft.pdf |
| _version_ | 1848835454863933440 |
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| author | Awangku Faizal Sallehin, Awangku Brahim |
| author_facet | Awangku Faizal Sallehin, Awangku Brahim |
| author_sort | Awangku Faizal Sallehin, Awangku Brahim |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | Artificial Neural Network (ANN) has been widely used to forecast Rainfall-Runoff relationships. Many ANN has been developed by experts in order to forecast RainfallRunoff
relationships in certain catchment. However, there are uncertainties whether the developed ANN can be used to forecast Rainfall-Runoff relationships in other
catchments dominantly, just like how it can forecast Rainfall-Runoff relationships for its purposed catchments. Therefore, the purpose of this study is to check whether a
developed ANN for forecasting Rainfall-Runoff relationships in Sungai Tinjar catchment can be used in two other catchments which are Batang Layar and Hulu Batang Oya. The network was trained using Back Propagation Algorithm. The Back Propagation Algorithm consists two phases; forward phase and backward phase. The variant used is Resilient Backpropagation (trainrp). To do the training, Matlab 7
computer software was used. This study had successfully proven that a developed ANN for forecasting Rain-Runoff relationships in Sungai Tinjar Catchment is achievable for
Batang Layar and Hulu Batang Oya Catchment; however deeper understanding and further improvement of the network are necessary. |
| first_indexed | 2025-11-15T06:08:08Z |
| format | Final Year Project Report / IMRAD |
| id | unimas-4562 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T06:08:08Z |
| publishDate | 2009 |
| publisher | Universiti Malaysia Sarawak, UNIMAS |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-45622024-11-11T01:20:45Z http://ir.unimas.my/id/eprint/4562/ Rainfall-funoff modelling in batang layar and oya sub-catchments using pre-developed ann model for tinjar catchment Awangku Faizal Sallehin, Awangku Brahim TD Environmental technology. Sanitary engineering Artificial Neural Network (ANN) has been widely used to forecast Rainfall-Runoff relationships. Many ANN has been developed by experts in order to forecast RainfallRunoff relationships in certain catchment. However, there are uncertainties whether the developed ANN can be used to forecast Rainfall-Runoff relationships in other catchments dominantly, just like how it can forecast Rainfall-Runoff relationships for its purposed catchments. Therefore, the purpose of this study is to check whether a developed ANN for forecasting Rainfall-Runoff relationships in Sungai Tinjar catchment can be used in two other catchments which are Batang Layar and Hulu Batang Oya. The network was trained using Back Propagation Algorithm. The Back Propagation Algorithm consists two phases; forward phase and backward phase. The variant used is Resilient Backpropagation (trainrp). To do the training, Matlab 7 computer software was used. This study had successfully proven that a developed ANN for forecasting Rain-Runoff relationships in Sungai Tinjar Catchment is achievable for Batang Layar and Hulu Batang Oya Catchment; however deeper understanding and further improvement of the network are necessary. Universiti Malaysia Sarawak, UNIMAS 2009 Final Year Project Report / IMRAD NonPeerReviewed text en http://ir.unimas.my/id/eprint/4562/1/AWANGKU%20FAIZAL%20SALLEHIN%20BIN%20AWANGKU%20BRAHIM%2024pgs.pdf text en http://ir.unimas.my/id/eprint/4562/3/Awangku%20Faizal%20ft.pdf Awangku Faizal Sallehin, Awangku Brahim (2009) Rainfall-funoff modelling in batang layar and oya sub-catchments using pre-developed ann model for tinjar catchment. [Final Year Project Report / IMRAD] (Unpublished) |
| spellingShingle | TD Environmental technology. Sanitary engineering Awangku Faizal Sallehin, Awangku Brahim Rainfall-funoff modelling in batang layar and oya sub-catchments using pre-developed ann model for tinjar catchment |
| title | Rainfall-funoff modelling in batang layar and oya sub-catchments using pre-developed ann model for tinjar catchment |
| title_full | Rainfall-funoff modelling in batang layar and oya sub-catchments using pre-developed ann model for tinjar catchment |
| title_fullStr | Rainfall-funoff modelling in batang layar and oya sub-catchments using pre-developed ann model for tinjar catchment |
| title_full_unstemmed | Rainfall-funoff modelling in batang layar and oya sub-catchments using pre-developed ann model for tinjar catchment |
| title_short | Rainfall-funoff modelling in batang layar and oya sub-catchments using pre-developed ann model for tinjar catchment |
| title_sort | rainfall-funoff modelling in batang layar and oya sub-catchments using pre-developed ann model for tinjar catchment |
| topic | TD Environmental technology. Sanitary engineering |
| url | http://ir.unimas.my/id/eprint/4562/ http://ir.unimas.my/id/eprint/4562/1/AWANGKU%20FAIZAL%20SALLEHIN%20BIN%20AWANGKU%20BRAHIM%2024pgs.pdf http://ir.unimas.my/id/eprint/4562/3/Awangku%20Faizal%20ft.pdf |