气候变化领域集成服务门户(CCPortal): Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones

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DOI	10.1016/j.marpolbul.2019.02.045
	Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones
	Samsudin M.S.; Azid A.; Khalit S.I.; Sani M.S.A.; Lananan F.
发表日期	2019
ISSN	0025326X
起始页码	472
结束页码	481
卷号	141
英文摘要	The prediction models of MWQI in mangrove and estuarine zones were constructed. The 2011–2015 data employed 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. © 2019 Elsevier Ltd
英文关键词	Artificial neural networks; Discriminant analysis; Mangrove estuarine zone; Marine water quality; Multiple linear regression
语种	英语
scopus关键词	Discriminant analysis; Estuaries; Forecasting; Linear regression; Neural networks; Quality control; Spatial variables measurement; Water quality; ANN modeling; Effective tool; Estuarine zones; Marine water quality; Modelling method; Monitoring stations; Multiple linear regressions; Prediction model; Predictive analytics; cadmium; chromium; phosphate; zinc; artificial neural network; comparative study; discriminant analysis; estuarine environment; mangrove; marine pollution; multiple regression; numerical model; prediction; water quality; Article; comparative study; discriminant analysis; estuary; mangrove; prediction; spatial analysis; statistical model; water quality; artificial neural network; Malaysia; statistical model; theoretical model; wetland; Malaysia; West Malaysia; Discriminant Analysis; Estuaries; Linear Models; Malaysia; Models, Theoretical; Neural Networks (Computer); Water Quality; Wetlands
来源期刊	Marine Pollution Bulletin
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/150008
作者单位	Faculty Bioresources and Food Industry, Universiti Sultan Zainal Abidin (UniSZA), Besut Campus, Besut, Terengganu 22200, Malaysia; International Institute for Halal Research and Training, International Islamic University MalaysiaSelangor, Malaysia; Dr. F.A.S. Technologies, Block D1, 2nd Floor UniSZA Digital Hub, UniSZA Besut Campus, Besut, Terengganu 222000, Malaysia
推荐引用方式 GB/T 7714	Samsudin M.S.,Azid A.,Khalit S.I.,et al. Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones[J],2019,141.
APA	Samsudin M.S.,Azid A.,Khalit S.I.,Sani M.S.A.,&Lananan F..(2019).Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones.Marine Pollution Bulletin,141.
MLA	Samsudin M.S.,et al."Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones".Marine Pollution Bulletin 141(2019).