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dc.contributor.author中渕, 遥平ja
dc.contributor.author中北, 英一ja
dc.contributor.alternativeNAKABUCHI, Yoheien
dc.contributor.alternativeNAKAKITA, Eiichien
dc.date.accessioned2023-02-21T09:31:41Z-
dc.date.available2023-02-21T09:31:41Z-
dc.date.issued2022-12-
dc.identifier.urihttp://hdl.handle.net/2433/279436-
dc.description.abstractRailway 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.isojpn-
dc.publisher京都大学防災研究所ja
dc.publisher.alternativeDisaster Prevention Research Institute, Kyoto Universityen
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.subjectTrain operationen
dc.subjectRainfall predictionen
dc.subjectTranslation modelen
dc.subjectOrographic rainfallen
dc.subject.ndc519.9-
dc.titleXRAIN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.alternativeInvestigation On a Short-term Rainfall Prediction with Orographic Rainfall Model Using Volume Scanning Radar Data of XRAINen
dc.typedepartmental bulletin paper-
dc.type.niitypeDepartmental Bulletin Paper-
dc.identifier.ncidAN00027784-
dc.identifier.jtitle京都大学防災研究所年報. Bja
dc.identifier.volume65-
dc.identifier.issueB-
dc.identifier.spage285-
dc.identifier.epage297-
dc.textversionpublisher-
dc.sortkey26-
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.alternativeEast Japan Railway Companyen
dc.address.alternativeDisaster Prevention Research Institute, Kyoto Universityen
dc.relation.urlhttp://www.dpri.kyoto-u.ac.jp/publications/nenpo/-
dcterms.accessRightsopen access-
dc.identifier.pissn0386-412X-
dc.identifier.jtitle-alternativeDisaster Prevention Research Institute Annuals. Ben
出現コレクション:Vol.65 B

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