基于雷达-阿米达斯复合降水的中尺度流域径流分析及基于降雨特征分类的验证

Doboku Gakkai Ronbunshuu B Pub Date : 2010-01-01 DOI:10.2208/JSCEJB.66.35

M. Ishizuka, H. Yoshida, T. Miyazaki

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引用次数: 1

摘要

(RAP)为(137.5)中的分布式水文模型，RAP数据在空间上观测，分辨率为2.5 km (cid:2) 2.5 km。结果表明，与地面降水资料相比，河流弃水的精度提高了30 ~ 60%，而地面降水资料的观测间隔约为17 km。在对降雨特征进行分类的基础上，阐明了不仅有减少

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RIVER RUNOFF ANALYSIS USING RADAR-AMeDAS COMPOSITE PRECIPITATION IN A MIDDLE-SCALE RIVER BASIN AND ITS VERIFICATION BASED ON THE CLASSIFICATION OF RAINFALL CHARACTERISTICS

(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

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Doboku Gakkai Ronbunshuu B

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