APPLICATION OF THE SELF-ORGANIZING MAP FOR AQUEOUS PHOSPHORUS MODELING AND MONITORING IN A NATURAL FRESHWATER WETLAND: A CASE STUDY

摘要

Water quality simulation is an efficient low-cost tool of communities investigating approaches for controlling eutrophication in water bodies. In this study, the feasibility of applying self-organizing map (SOM) model to analyze the water quality data in a large natural freshwater wetland was assessed. The SOM model and a multivariable linear regression were used for analyzing water quality in a natural freshwater wetland. The relationships between transparency, temperature, pH, conductivity, dissolved oxygen (DO) and phosphorus were revealed by the multivariable linear regression model and the visualization function of SOM model. Furthermore, the SOM model performed satisfactory in predicting the total phosphorus concentrations by utilizing those rapidly and easily measurable online variables, such as transparency, temperature, pH, conductivity and DO. It could be concluded that the SOM model is a future modeling and predicting approach for monitoring and managing water quality in natural freshwater wetlands.