Prediction of Water Quality of Koyama-Lake Using Self-Organizing Maps

Abstract

　In recent years, in the Koyama-Lake in Tottori, the outbreak of the red tide becomes the problem that a sea mingled with fresh water.As a means to grasp the causal relation of the water quality condition of a lake, there is a method using a numerical model, but water quality simulation using numerical models requires understanding of factors that govern phenomena to be studied, and good results cannot be obtained unless an appropriate model is selected according to flow / water quality characteristics.In addition to this, there are few data on characteristics such as pressure and disturbance and it is difficult to handle, so if you are planning to use a numerical model, new facilities and capital investment may be necessary. Therefore, in is study, we classify the quality of the water and predict the quality of the water situation using Self-Organizing Maps.In this way, we can expect to help solution of the red tide outbreak mechanism, and expect to restrain damage of the red tide in predict the outbreak of the red tide beforehand.In the Self-Organizing Maps method, since new facilities and advanced mathematical knowledge are not required, it is possible to analyze the water quality situation from a comprehensive viewpoint simply by inputting the water quality data that has been acquired so far.