RIVER RUNOFF ANALYSIS USING RADAR-AMeDAS COMPOSITE PRECIPITATION IN A MIDDLE-SCALE RIVER BASIN AND ITS VERIFICATION BASED ON THE CLASSIFICATION OF RAINFALL CHARACTERISTICS
{"title":"RIVER RUNOFF ANALYSIS USING RADAR-AMeDAS COMPOSITE PRECIPITATION IN A MIDDLE-SCALE RIVER BASIN AND ITS VERIFICATION BASED ON THE CLASSIFICATION OF RAINFALL CHARACTERISTICS","authors":"M. Ishizuka, H. Yoshida, T. Miyazaki","doi":"10.2208/JSCEJB.66.35","DOIUrl":null,"url":null,"abstract":"(RAP) for an distributed hydrological model in (137.5 ), The RAP data were observed spatially, 2.5 km (cid:2) 2.5 km resolution. The result shows that the accuracy of river water discarge was improved by 30-60% compared with the ground-based precipitation data, those were observed at around 17 km interval. Based on a classification of the rainfall characteristics, we clarify that not only a decrease","PeriodicalId":11343,"journal":{"name":"Doboku Gakkai Ronbunshuu B","volume":"139 1","pages":"35-46"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Doboku Gakkai Ronbunshuu B","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2208/JSCEJB.66.35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
(RAP) for an distributed hydrological model in (137.5 ), The RAP data were observed spatially, 2.5 km (cid:2) 2.5 km resolution. The result shows that the accuracy of river water discarge was improved by 30-60% compared with the ground-based precipitation data, those were observed at around 17 km interval. Based on a classification of the rainfall characteristics, we clarify that not only a decrease