Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)
Online ISSN : 2185-467X
ISSN-L : 2185-467X
Annual Journal of Hydraulic Engineering, JSCE, Vol.67
INVESTIGATION ON A SHORT-TERM RAINFALL PREDICTION CONSIDERING OROGRAPHIC RAINFALL WITH VOLUME SCANNING RADAR DATA OF XRAIN
Yohei NAKABUCHIEiichi NAKAKITA
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2022 Volume 78 Issue 2 Pages I_355-I_360

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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.

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© 2022 Japan Society of Civil Engineers
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