This study was conducted to evaluate water quality in coastal sea of Kunsan using multivariate analysis. The analysis data in Coastal Sea of Kunsan use of surveyed data by the NFRDI from April 2000 to November 2002. Twelve water quality parameter were...
This study was conducted to evaluate water quality in coastal sea of Kunsan using multivariate analysis. The analysis data in Coastal Sea of Kunsan use of surveyed data by the NFRDI from April 2000 to November 2002. Twelve water quality parameter were determined on each sample.
The results was summarized as follow, water quality in coastal sea of Kunsan could be explained up to 62.782% by four factors which were included in loading of nitrate-nutrients by pattern 24.688%, suspended solids pattern (12.180%) seasonal climate variation pattern 18.367%, phytoplankton limite factor DIP pattern (10.546%).
A thesis submitted to the Committee of the Graduate School, Kunsan National University in Partial fulfillment of the requirement for degree of Master of Engineering in February 2004.
The results was summarized as follow, water quality in coastal sea of Kunsan could be explained up to 62.782% by four factors which were included in loading of nitrate-nutrients by pattern 24.688%, suspended solids pattern (12.180%) seasonal climate variation pattern 18.367%, phytoplankton limite factor DIP pattern (10.546%).
The results was summarized as follow, water quality in coastal sea of Kunsan could be explained up to 62.782% by four factors which were included in loading of nitrate-nutrients by pattern 24.688%, suspended solids pattern (12.180%) seasonal climate variation pattern 18.367%, phytoplankton limite factor DIP pattern (10.546%).
Principal component analysis of spatial was division five factor. And principel component analysis of year was division four factor.
The result of time series analysis by factor score, st. 2 was the most affected by nitrate-nutrient and suspended solids in coastal sea of kunsan. Because st. 2 is closed to the keum river esturary.
It could be suggested from these results that it is important to reduce the pollution loads from Kuem river for the control of the water quality in coastal sea of Kunsan.