Application of Artificial Neural Networks Model (ANN) for Upstream River Discharge Forecasting in the Lower Part of Chao-Phraya River Basin

DOI

Bibliographic Information

Other Title
  • チャオプラヤ平野の上流端河川流量予測へのＡＮＮモデルの適用

Abstract

The main purpose of this paper is to forecast the runoff in the lower part of Chao-Phraya river basin by ANN for boundary input data in the upstream of channel for a real time flood warning system. There are two scenarios to optimize the network. The first scenario is comparing between different number and position of gage stations. The results in the first scenario can get the good testing result with 80% of correlation coefficient. Because the discharge in the upper part has high magnitude, it should be the most effective to river discharge in the downstream. Thus, upstream stations are selected to use in the second scenario and consider the travel time of flow. Finally, the results of the second scenario can obtain improved result, 87% of correlation coefficient and less error.

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Details 詳細情報について

  • CRID
    1390001205713503360
  • NII Article ID
    130004628205
  • DOI
    10.11520/jshwr.24.0.114.0
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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