Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	7834/71100
Uncontrolled Keywords:	Marine water quality, Discriminant analysis, Artificial neural networks, Multiple linear regression, Mangrove estuarine zone
Subjects:	Q Science > QA Mathematics > QA300 Analysis Q Science > QD Chemistry
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	International Institute for Halal Research and Training (INHART)
Depositing User:	Muhamad Shirwan Abdullah Sani
Date Deposited:	15 Mar 2019 12:36
Last Modified:	10 Apr 2020 10:47
URI:	http://irep.iium.edu.my/id/eprint/71100

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