このアイテムのアクセス数: 120
このアイテムのファイル:
ファイル | 記述 | サイズ | フォーマット | |
---|---|---|---|---|
a65b0p26.pdf | 3.63 MB | Adobe PDF | 見る/開く |
完全メタデータレコード
DCフィールド | 値 | 言語 |
---|---|---|
dc.contributor.author | 中渕, 遥平 | ja |
dc.contributor.author | 中北, 英一 | ja |
dc.contributor.alternative | NAKABUCHI, Yohei | en |
dc.contributor.alternative | NAKAKITA, Eiichi | en |
dc.date.accessioned | 2023-02-21T09:31:41Z | - |
dc.date.available | 2023-02-21T09:31:41Z | - |
dc.date.issued | 2022-12 | - |
dc.identifier.uri | http://hdl.handle.net/2433/279436 | - |
dc.description.abstract | Railway operators enforce train operation control based on actual precipitation observed by rain gauges to ensure safe train operation in heavy rainfall events. Now by utilizing rainfall forecasting information they may make train operation safer. In this study, we study about a prediction method combining the translation model and the orographic rainfall model. About the area around Mt. Hakone when typhoon No. 19 in October 2019, we verified the prediction accuracy and examined the utilization method from comparisons with observation values of rain gauge. As a result, it was found that the estimation accuracy of the rain gauge observation value is improved by considering the orographic rainfall comparing with the case of the translation model only. In addition, we proposed a method to obtain a wide range information of prediction from multiple prediction results obtained by radar data of multiple altitudes. | en |
dc.language.iso | jpn | - |
dc.publisher | 京都大学防災研究所 | ja |
dc.publisher.alternative | Disaster Prevention Research Institute, Kyoto University | en |
dc.subject | 列車運行 | ja |
dc.subject | 降雨予測 | ja |
dc.subject | 移流モデル | ja |
dc.subject | 地形性降雨 | ja |
dc.subject | Train operation | en |
dc.subject | Rainfall prediction | en |
dc.subject | Translation model | en |
dc.subject | Orographic rainfall | en |
dc.subject.ndc | 519.9 | - |
dc.title | XRAIN立体観測データを用いた地形性降雨算定手法による短時間降雨予測に関する研究 | ja |
dc.title.alternative | Investigation On a Short-term Rainfall Prediction with Orographic Rainfall Model Using Volume Scanning Radar Data of XRAIN | en |
dc.type | departmental bulletin paper | - |
dc.type.niitype | Departmental Bulletin Paper | - |
dc.identifier.ncid | AN00027784 | - |
dc.identifier.jtitle | 京都大学防災研究所年報. B | ja |
dc.identifier.volume | 65 | - |
dc.identifier.issue | B | - |
dc.identifier.spage | 285 | - |
dc.identifier.epage | 297 | - |
dc.textversion | publisher | - |
dc.sortkey | 26 | - |
dc.address | 東日本旅客鉄道株式会社 | ja |
dc.address | 京都大学防災研究所 | ja |
dc.address.alternative | East Japan Railway Company | en |
dc.address.alternative | Disaster Prevention Research Institute, Kyoto University | en |
dc.relation.url | http://www.dpri.kyoto-u.ac.jp/publications/nenpo/ | - |
dcterms.accessRights | open access | - |
dc.identifier.pissn | 0386-412X | - |
dc.identifier.jtitle-alternative | Disaster Prevention Research Institute Annuals. B | en |
出現コレクション: | Vol.65 B |

このリポジトリに保管されているアイテムはすべて著作権により保護されています。