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The Prediction of Water Temperature at Saemangeum Lake by Neural Network

신경망모형을 이용한 새만금호 수온 예측

  • Oh, Nam Sun (Ocean.Plant Construction Engineering, Mokpo Maritime National University) ;
  • Jeong, Shin Taek (Department of Civil and Environmental Engineering, Wonkwang Univ.)
  • 오남선 (목포해양대학교 해양.플랜트건설공학과) ;
  • 정신택 (원광대학교 토목환경공학과, 원광대학교 부설 공업기술개발연구소)
  • Received : 2015.01.18
  • Accepted : 2015.02.25
  • Published : 2015.02.28

Abstract

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.

Acknowledgement

Supported by : 전북녹색환경지원센터

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