INVESTIGATION OF ENSEMBLE DAM INFLOW SIMULATION IN SAI RIVER BASIN
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- TAMAKAWA Katsunori
- 土木研究所 水災害・リスクマネジメント国際センター
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- MOHAMED Rasmy
- 土木研究所 水災害・リスクマネジメント国際センター
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- NASEER Asif
- University of Management and Technology
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- USHIYAMA Tomoki
- 土木研究所 水災害・リスクマネジメント国際センター
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- NAKAMURA Shigeru
- 日本工営株式会社 中央研究所
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- NYUNT Cho Thanda
- Myanmar Koei Intl. ltd.
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- MOIZ Abdul
- 東京大学 未来ビジョン研究センター
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- ONUMA Katsuhiro
- 土木研究所 水災害・リスクマネジメント国際センター
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- KOIKE Toshio
- 土木研究所 水災害・リスクマネジメント国際センター
Bibliographic Information
- Other Title
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- 犀川流域におけるダム流入量のアンサンブル予測手法の検討
Description
<p> This research conducted ensemble inflow simulations for electric power generation dams in the Sai River in Japan. After developing the Water and Energy Based Distributed Hydrological Model 4 components for Snow (WEB-DHM-4cS), we validated the model by conducting hydrological simulations for three consecutives years from August 2015 to July 2018 and confirmed that the model could properly express peak discharges, snow-melt discharges, and base flows in the basin. Then, we performed ensemble inflow simulations of the flood event at July to September 2018 in the Sai River by inputting an ensemble 39-hour rainfall dataset to WEB-DHM-4cS. As a result, we predicted the flood discharge (800m3/s) at Ikusaka Dam with lead times of 7 to 31 hours and the accumulated inflow volume at Takase Dam with lead times of 6, 12 and 24 hours highly accurately with an error rate being less than 5%.</p>
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) 77 (2), I_61-I_66, 2021
Japan Society of Civil Engineers
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Details 詳細情報について
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- CRID
- 1390009640069881856
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- NII Article ID
- 130008160187
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- ISSN
- 2185467X
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed