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Development of Flow Interpolation Model Using Neural Network and its Application in Nakdong River Basin

  • Journal of Environmental Impact Assessment
  • Abbr : J EIA
  • 2009, 18(5), pp.271-280
  • Publisher : Korean Society Of Environmental Impact Assessment
  • Research Area : Engineering > Environmental Engineering

손아롱 1 Han Kun Yeun 2 김지은 2

1경북대학교 건설 토목공학부
2경북대학교

Accredited

ABSTRACT

The objective of this study is to develop a reliable flow forecasting model based on neural network algorithm in order to provide flow rate at stream sections without flow measurement in Nakdong river. Stream flow rate measured at 8-days interval by Nakdong river environment research center, daily upper dam discharge and precipitation data connecting upstream stage gauge were used in this development. Back propagation neural network and multi-layer with hidden layer that exists between input and output layer are used in model learning and constructing, respectively. Model calibration and verification is conducted based on observed data from 3 station in Nakdong river.

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