Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones
The prediction models of MWQI in mangrove and estuarine zones were constructed. The 2011–2015 data em- ployed in this study entailed 13 parameters from six monitoring stations in West Malaysia. Spatial discriminant analysis (SDA) had recommended seven significant parameters to develop the MWQI which...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English English |
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Elsevier Ltd
2019
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| Online Access: | http://irep.iium.edu.my/71100/ http://irep.iium.edu.my/71100/1/71100_Comparison%20of%20prediction%20model%20using%20spatial.pdf http://irep.iium.edu.my/71100/2/71100_Comparison%20of%20prediction%20model%20using%20spatial_SCOPUS.pdf http://irep.iium.edu.my/71100/13/71100_Comparison%20of%20prediction%20model%20using%20spatial_wos.pdf |
| _version_ | 1848787401190670336 |
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| author | Samsudin, Mohd Saiful Azid, Azman Khalit, Saiful Iskandar Abdullah Sani, Muhamad Shirwan Lananan, Fathurrahman |
| author_facet | Samsudin, Mohd Saiful Azid, Azman Khalit, Saiful Iskandar Abdullah Sani, Muhamad Shirwan Lananan, Fathurrahman |
| author_sort | Samsudin, Mohd Saiful |
| building | IIUM Repository |
| collection | Online Access |
| description | The prediction models of MWQI in mangrove and estuarine zones were constructed. The 2011–2015 data em- ployed in this study entailed 13 parameters from six monitoring stations in West Malaysia. Spatial discriminant analysis (SDA) had recommended seven significant parameters to develop the MWQI which were DO, TSS, O&G, PO4, Cd, Cr and Zn. These selected parameters were then used to develop prediction models for the MWQI using artificial neural network (ANN) and multiple linear regressions (MLR). The SDA-ANN model had higher R2 value for training (0.9044) and validation (0.7113) results than SDA-MLR model and was chosen as the best model in mangrove estuarine zone. The SDA-ANN model had also demonstrated lower RMSE (5.224) than the SDA-MLR (12.7755). In summary, this work suggested that ANN was an effective tool to compute the MWQ in mangrove estuarine zone and a powerful alternative prediction model as compared to the other modelling methods. |
| first_indexed | 2025-11-14T17:24:20Z |
| format | Article |
| id | iium-71100 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English English |
| last_indexed | 2025-11-14T17:24:20Z |
| publishDate | 2019 |
| publisher | Elsevier Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-711002020-04-10T02:47:32Z http://irep.iium.edu.my/71100/ Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones Samsudin, Mohd Saiful Azid, Azman Khalit, Saiful Iskandar Abdullah Sani, Muhamad Shirwan Lananan, Fathurrahman QA300 Analysis QD Chemistry The prediction models of MWQI in mangrove and estuarine zones were constructed. The 2011–2015 data em- ployed in this study entailed 13 parameters from six monitoring stations in West Malaysia. Spatial discriminant analysis (SDA) had recommended seven significant parameters to develop the MWQI which were DO, TSS, O&G, PO4, Cd, Cr and Zn. These selected parameters were then used to develop prediction models for the MWQI using artificial neural network (ANN) and multiple linear regressions (MLR). The SDA-ANN model had higher R2 value for training (0.9044) and validation (0.7113) results than SDA-MLR model and was chosen as the best model in mangrove estuarine zone. The SDA-ANN model had also demonstrated lower RMSE (5.224) than the SDA-MLR (12.7755). In summary, this work suggested that ANN was an effective tool to compute the MWQ in mangrove estuarine zone and a powerful alternative prediction model as compared to the other modelling methods. Elsevier Ltd 2019-04-09 Article PeerReviewed application/pdf en http://irep.iium.edu.my/71100/1/71100_Comparison%20of%20prediction%20model%20using%20spatial.pdf application/pdf en http://irep.iium.edu.my/71100/2/71100_Comparison%20of%20prediction%20model%20using%20spatial_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/71100/13/71100_Comparison%20of%20prediction%20model%20using%20spatial_wos.pdf Samsudin, Mohd Saiful and Azid, Azman and Khalit, Saiful Iskandar and Abdullah Sani, Muhamad Shirwan and Lananan, Fathurrahman (2019) Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones. Marine Pollution Bulletin, 141. pp. 472-481. ISSN 0025-326X https://www.sciencedirect.com/science/article/pii/S0025326X19301444 10.1016/j.marpolbul.2019.02.045 |
| spellingShingle | QA300 Analysis QD Chemistry Samsudin, Mohd Saiful Azid, Azman Khalit, Saiful Iskandar Abdullah Sani, Muhamad Shirwan Lananan, Fathurrahman Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones |
| title | Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones |
| title_full | Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones |
| title_fullStr | Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones |
| title_full_unstemmed | Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones |
| title_short | Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones |
| title_sort | comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones |
| topic | QA300 Analysis QD Chemistry |
| url | http://irep.iium.edu.my/71100/ http://irep.iium.edu.my/71100/ http://irep.iium.edu.my/71100/ http://irep.iium.edu.my/71100/1/71100_Comparison%20of%20prediction%20model%20using%20spatial.pdf http://irep.iium.edu.my/71100/2/71100_Comparison%20of%20prediction%20model%20using%20spatial_SCOPUS.pdf http://irep.iium.edu.my/71100/13/71100_Comparison%20of%20prediction%20model%20using%20spatial_wos.pdf |