STUDY OF METHOD TO SELECT THE PREDICTION PATTERN TO IMPROVE THE ACCURACY OF SHORT-TERM RAINFALL PREDICTION WITH ADVECTION MODEL
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- ITO Yuka
- 神戸大学大学院 工学研究科市民工学専攻
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- JIKIHARA Yukiko
- 株式会社ニュージェック 河川グループ
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- OISHI Satoru
- 神戸大学 都市安全研究センター
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- NAKAKITA Eiichi
- 京都大学 防災研究所
Bibliographic Information
- Other Title
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- 移流モデルを用いた短時間降雨予測精度向上のための予測パターン選別手法に関する研究
- イリュウ モデル オ モチイタ タンジカン コウウ ヨソク セイド コウジョウ ノ タメ ノ ヨソク パターン センベツ シュホウ ニ カンスル ケンキュウ
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Abstract
The present study investigates the relationship between the accuracy of predicted rainfall intensity by using the advection model and the patterns of parameters as well as the number of preceding data. The advection model uses nine parameters, and they are assigned by the regression method using several preceding data. Each set of nine parameters has kinematic meaning and it is defined as a pattern of prediction. By using the patterns of parameters, uncertainty of prediction decreases, and the accuracy of the rainfall prediction improves. In order to improve the short-term rainfall prediction, this study investigated the method to select appropriate pattern using the data from high resolution radar and the advection model. The present study found out that movement and time development of rainfall predicted by the advection model are characterized by Eigen values of the matrix whose elements are a subset of the parameters. Moreover, it shows that the Eigen values provide information on which pattern should be used.
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) 73 (4), I_229-I_234, 2017
Japan Society of Civil Engineers
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Details 詳細情報について
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- CRID
- 1390001205352353024
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- NII Article ID
- 40021162352
- 130006406171
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- NII Book ID
- AN10426673
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- ISSN
- 18808751
- 2185467X
- 09167374
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- NDL BIB ID
- 028108022
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed