Assessment of Water Quality of Bang Pakong River Using Multivariate Analysis
Abstract
The purpose of this research is to assess water quality of Bang Pakong River by considering the concentrations of water quality parameters of Bang Pakong River since 1997 to 2015 with multivariate analysis. The results of research indicated that factor analysis was able to combine the correlated water quality parameters into 8 factors; general geology of water, community and industrial waste, bacteria, nitrogen compounds, pH and dissolved oxygen, temperature and suspended solids, NO2 – N and biochemical oxygen demand. Then, the predicted equation was built with discriminant analysis considering from the water quality index (WQI) for predicting the water quality groups of Bang Pakong river into 2 groups; nonstandard and standard groups. For assessment of this predicted equation the correction percentage in classification were 85.76 and 68.75 for training and validation data set, respectively. Keywords : Water Quality, Water Quality Index, Bang Pakong River, Factor Analysis, Discriminant AnalysisReferences
Ayeni, A. O., & Soneye, A. S. O. (2013). Interpretation of surface water quality using principal components analysis and cluster analysis. Journal of Geography and Regional Planning, 6(4), 132-141.
Buranapratheprat, A. & Jintasaeranee, P. (2012). Water Qualities in the Bangpakong Estuary, Thailand in 2002. Burapha Science Journal, 17(2),116-129. (in Thai)
Environment office 13TH Chonburi, Ministry of Natural Resources and Environment. (2016a). Report Monitoring of Surface Water Quality in Eastern Thailand. Retrieved September 20, 2016. From http://www.reo13.go.th
/report_1.php. (in Thai)
Environment office 13TH Chonburi, Ministry of Natural Resources and Environment. (2016b). Report of Surface Water Quality in Eastern Thailand. Retrieved December 25, 2016. From http://www.reo13.go.th
/report_1.php. (in Thai)
Gilbert, E. S. (1969). The effect of unequal variance-covariance matrices on Fisher's linear discriminant function. Biometrics, 25(3), 505-515.
Mahmood, A., Muqbool, W., Mumtaz, M. W., & Ahmad, F. (2011). Application of multivariate statistical techniques for the characterization of groundwater quality of Lahore, Gujranwala and Sialkot (Pakistan). Pakistan Journal of Analytical and Environmental Chemistry, 12. 102-112.
Marks, S., & Dunn, O. J. (1974). Discriminant functions when covariance matrices are unequal. Journal of the American Statistical Association, 69(346), 555-559.
National Environment Board. (1994). Surface Water Quality Standards. Announces National Environment No. 8. (in Thai)
Salah, E. A. M., Turki, A. M., & Al-Othman, E. M. (2012). Assessment of water quality of Euphrates River using cluster analysis. Journal of Environmental Protection, 3(12), 1629-1633.
Usman, U. N., Toriman, M. E., Juahir, H., Abdullahi, M. G., Rabiu, A. A., & Isiyaka, H. (2014). Assessment of Groundwater Quality Using Multivariate Statistical Techniques in Terengganu. Science and Technology, 4(3), 42-49.
Water Quality Management, Pollution Control Department. (2015). Water Quality Index (WQI). Retrieved November 11, 2016. From http://iwis.pcd.go.th/index.php. (in Thai)
Buranapratheprat, A. & Jintasaeranee, P. (2012). Water Qualities in the Bangpakong Estuary, Thailand in 2002. Burapha Science Journal, 17(2),116-129. (in Thai)
Environment office 13TH Chonburi, Ministry of Natural Resources and Environment. (2016a). Report Monitoring of Surface Water Quality in Eastern Thailand. Retrieved September 20, 2016. From http://www.reo13.go.th
/report_1.php. (in Thai)
Environment office 13TH Chonburi, Ministry of Natural Resources and Environment. (2016b). Report of Surface Water Quality in Eastern Thailand. Retrieved December 25, 2016. From http://www.reo13.go.th
/report_1.php. (in Thai)
Gilbert, E. S. (1969). The effect of unequal variance-covariance matrices on Fisher's linear discriminant function. Biometrics, 25(3), 505-515.
Mahmood, A., Muqbool, W., Mumtaz, M. W., & Ahmad, F. (2011). Application of multivariate statistical techniques for the characterization of groundwater quality of Lahore, Gujranwala and Sialkot (Pakistan). Pakistan Journal of Analytical and Environmental Chemistry, 12. 102-112.
Marks, S., & Dunn, O. J. (1974). Discriminant functions when covariance matrices are unequal. Journal of the American Statistical Association, 69(346), 555-559.
National Environment Board. (1994). Surface Water Quality Standards. Announces National Environment No. 8. (in Thai)
Salah, E. A. M., Turki, A. M., & Al-Othman, E. M. (2012). Assessment of water quality of Euphrates River using cluster analysis. Journal of Environmental Protection, 3(12), 1629-1633.
Usman, U. N., Toriman, M. E., Juahir, H., Abdullahi, M. G., Rabiu, A. A., & Isiyaka, H. (2014). Assessment of Groundwater Quality Using Multivariate Statistical Techniques in Terengganu. Science and Technology, 4(3), 42-49.
Water Quality Management, Pollution Control Department. (2015). Water Quality Index (WQI). Retrieved November 11, 2016. From http://iwis.pcd.go.th/index.php. (in Thai)
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Published
2017-06-21
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