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P. A. Aguilera, A. G. Frenich, J. A. Torres, H. Castro, J. L. Martinez Vidal and M. Canton, “Application of the Kohonen Neural Network in Coastal Water Management: Methodological Development for the Assessment and Prediction of Water Quality,” Water Research, Vol. 35, No. 17, 2001, pp. 4053-4062. doi:10.1016/S0043-1354(01)00151-8

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• TITLE: Spatio-Temporal Variations in Water Quality of the Chao Phraya River, Thailand, between 1991 and 2008

  AUTHORS: Piyathap Avakul, Tuantong Jutagate

  KEYWORDS: Surface Water; Self Organizing Maps; Anthropogenic Stresses; Temperature

  JOURNAL NAME: Journal of Water Resource and Protection, Vol.4 No.9, September 19, 2012

  ABSTRACT: Spatio-temporal variations in the water quality of the Chao Phraya River, Thailand, were examined, on average-yearly basis, between 1999 and 2008, from 32 surface water stations from the river origin to the delta. Five water quality parameters viz., DO, BOD, TCB, FCB, NH3-N and water temperature were used in the analysis. Analysis was performed by using the Self Organizing Maps. Four distinct spatially approached clusters were classified, according to the similarity of water quality parameters, while temporal variations of most of the surface water stations were not obviously observed. The worst water quality condition was at the stations near the river delta and highly related to anthropogenic stresses. Result from the correspondence analysis showed that, except for the cluster of the worst water quality, the stations of the remaining three clusters were overlapped. There was no statistical difference in water temperature among clusters but the expected effects from climate change should be a precautionary focus since the will eventually affect the water quality.