Water Quality Analysis based on Remote Sensing Data and Numerical Model

Abstract

To analyze the relationship between temporary changes in water current and water pollution, we constructed a numerical model for drift current in this paper. Water quality estimation maps were also drawn by fuzzy regression analysis between remote sensing data and water quality measurements. Lake Hachiro in Akita was selected as the test site for the case study. Computer simulation result of the flow vector agreed well with the water quality estimation maps. It can be concluded that drift current helps clarify water quality.