Multivariate Repeated Measurement Model for Analysing Water Quality of Na Thap River During 2004-2014

Authors(3) :-Felycitia Iradati Yusrina, Khairil A. Notodiputro, Indahwati

The Electricity Generation Authority of Thailand (EGAT), located in Chana, Songkhla province, was built in 2004 and has been sending electricity commercially to the network in 2007. The power plant waste is discharged into the Na Thap River, so there is a great concern that will have an ecological impact on the biodiversity and ecosystems in the Na Thap river waters. This study focuses on the river water quality. The water quality studied was dissolved oxygen (DO), pH and Biochemical Oxygen Demand (BOD) which followed the repeated measurement structure data. Water quality modeling show that the month, zone and their interactions affect the water quality of pH, DO and BOD simultaneously before and after EGAT operation. The variance contribution of between sites smaller than within site. This indicates a variation within sites and no variation between sites.

Authors and Affiliations

Felycitia Iradati Yusrina
Department of Statistics, Bogor Agricultural University, Bogor, West Java, Indonesia
Khairil A. Notodiputro
Department of Statistics, Bogor Agricultural University, Bogor, West Java, Indonesia
Indahwati
Department of Statistics, Bogor Agricultural University, Bogor, West Java, Indonesia

Mixed Model, Multivariate Linear Mixed Model, Na Thap River, Repeated Measurement

Publication Details

Published in : Volume 4 | Issue 9 | July-August 2018
Date of Publication : 2018-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 512-517
Manuscript Number : IJSRSET1849107
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Felycitia Iradati Yusrina, Khairil A. Notodiputro, Indahwati, " Multivariate Repeated Measurement Model for Analysing Water Quality of Na Thap River During 2004-2014, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 9, pp.512-517, July-August-2018.
Journal URL : http://ijsrset.com/IJSRSET1849107

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