書誌事項
- タイトル別名
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- PARAMETER IDENTIFICATION OF DISTRIBUTED RUNOFF MODEL USING THE PARTICLE SWARM OPTIMIZATION METHOD
抄録
In this paper, the particle swarm optimization (PSO) is applied into automatic parameter calibration process of a distributed runoff model. As distributed runoff models require long simulation time compared with general optimization problems, the number of particles and repeat computation times should be selected property. We conducted sensitivity experiments for the number of particles and found that the PSO has to be applied in following conditions: i) to set the number of particles more than 100 in the case of calibrating about five parameters, ii) to conduct repeat computations about 25 times. Analyzed river discharge using identified parameters shows good agreement with the observed one.
収録刊行物
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- 土木学会論文集B1(水工学)
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土木学会論文集B1(水工学) 68 (4), I_523-I_528, 2012
公益社団法人 土木学会
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詳細情報 詳細情報について
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- CRID
- 1390282680328476928
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- NII論文ID
- 130004558008
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- ISSN
- 2185467X
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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
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可