閉鎖性水域における水質変化の予測に関する研究

概要

論文の詳細を見る
The accurate estimation of water quality changes is necessary for the management and maintenance of water environment. In many cases, a numerical simulation model is used for this purposes, On the other hand, lots of observed data are being accumulated according with the improvement on observation technologies, and it begin to be prediction of water quality changes by data driven model. In this study, the water quality change is estimated by using the numerical simulation and Neural network model, and the accuracy of results obtained from these two models is discussed. Numerical model is developed focusing on the phosphorus and the activity of phytoplankton. Neural network model is multi-layered structure and is composed of four layers. Calculations are executed for Isahaya regulation pond. Calculated results obtained by neural network model has a good agreement with observed results, thus it seems that neural network model as well as numerical simulation model is able to use for the estimation of the water quality change in real water body.
長崎大学の論文