PARTICLE SIZE ESTIMATION METHOD FOR CHARACTERIZATION OF FINE SEDIMENT TRANSPORT DURING FLOOD IN MIMIKAWA RIVER
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- SUZUKI Jumpei
- 電力中央研究所 水域環境領域
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- KAWAKAMI Keiji
- 九州電力株式会社 耳川水力整備事務所
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- YOSHIMURA Takeshi
- 九州電力株式会社 耳川水力整備事務所
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- SHINYA Hiroki
- 九州電力株式会社 耳川水力整備事務所
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- SATO Takahiro
- 電力中央研究所 流体科学領域
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- IMAMURA Masahiro
- 電力中央研究所 水域環境領域
Bibliographic Information
- Other Title
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- 粒径推定手法を用いた耳川における細粒土砂輸送特性の把握
- リュウケイ スイテイ シュホウ オ モチイタ ジガワ ニ オケル サイリュウ ドシャ ユソウ トクセイ ノ ハアク
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Abstract
The use of a turbidimeter with a particle size-dependent defect is proposed for the estimation of particle size as well as continuous estimation of fine sediment flux by particle size. In this study, an artificial neural network (ANN) and a multiple regression model were built to predict the fine sediment concentration of sand (FSCS) and of silt and clay (FSCSiC) using observation data from the Mimikawa River, where three dams are being planned to implement an integrated sluicing operation.<br> Both models, which used turbidity, discharge, and hysteresis as predictor variables, were able to generate excellent FSCS and FSCSiC estimates. In particular, estimation of the FSC by the ANN model, which suit for the non-linear system, may reduce the error of estimation by more than 40% of traditional sediment rating curve model. Furthermore, resulting predictions of FSCS and FSCSiC during storm events indicated that both fractions changed every hour. The developed methodology was used to simultaneously obtain reliable and continuous estimates of FSC with respect to particle size.
Journal
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- Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)
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Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 72 (4), I_715-I_720, 2016
Japan Society of Civil Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390282680329921408
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- NII Article ID
- 130005312090
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- NII Book ID
- AN10426673
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- ISSN
- 18808751
- 2185467X
- 09167374
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- NDL BIB ID
- 027185137
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed