The Prediction of Water Temperature at Saemangeum Lake by Neural Network

摘要

The potential impact of water temperature on sea level and air temperature rise in response to recent global warming has been noticed.To predict the effect of temperature change on river water quality and aquatic environment,it is necessary to understand and predict the change of water temperature.Air-water temperature relationship was analyzed using air temperature data at Buan and water temperature data of Shinsi,Garyeok,Mangyeong and Dongjin.Maximum and minimum water temperature was predicted by neural network and the results show a very high correlation between measured and predicted water temperature.