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
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- チャンポンパニ スパチャヤ
- 京都大学大学院工学研究科
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- 田中 賢治
- 京都大学防災研究所
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- 小尻 利治
- 京都大学大学院工学研究科
書誌事項
- タイトル別名
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- Application of Artificial Neural Networks Model (ANN) for Upstream River Discharge Forecasting in the Lower Part of Chao-Phraya River Basin
説明
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.
収録刊行物
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- 水文・水資源学会研究発表会要旨集
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水文・水資源学会研究発表会要旨集 24 (0), 114-114, 2011
水文・水資源学会
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詳細情報 詳細情報について
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- CRID
- 1390001205713503360
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- NII論文ID
- 130004628205
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可