Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)
Online ISSN : 2185-467X
ISSN-L : 2185-467X
Volume 72, Issue 2
Displaying 1-2 of 2 articles from this issue
Paper (In Japanese)
  • Rei ITSUKUSHIMA, Yuki IWANAGA, Kazufumi IDETA, Tatsuro SATO, Yukihiro ...
    2016 Volume 72 Issue 2 Pages 49-58
    Published: 2016
    Released on J-STAGE: May 20, 2016
    JOURNAL FREE ACCESS
     A runoff model was applied to investigate outflow control effect of on-site storage and soil improvement for improving infiltration capacity. We calculated overflow amount of each manhole before and after measures at the Zenpukuji river in Tokyo using four types of hyetograph (occurrence probability 1/100). The result of simulation suggested the following: 1) large overflow amount and wide area of overflow was occurred in short term concentration rainfall, 2) effect of on-site storage and soil improvement was high in long term rainfall, although depression effect was different for each points, 3) effect of countermeasures was constant for short distance upstream and downstream form the measures point and reduction effect for upstream was high at place occurring overflow due to backwater, 4) effectiveness of countermeasures could be enhanced to intensively-introduce runoff control measures for sites overflow volume was large.
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  • Shota HAYASHI, Shinta SETO, Tatsuya SHIMOZUMA
    2016 Volume 72 Issue 2 Pages 59-65
    Published: 2016
    Released on J-STAGE: July 20, 2016
    JOURNAL FREE ACCESS
     Dual-frequency Precipitation Radar (DPR) on board the core satellite of the Global Precipitation Measurement mission has been operated since March 2014. The standard algorithms to retrieve precipitation rates and related variables from the DPR measurement (DPR algorithms) were revised several times so far. Non-uniform beam filling (NUBF) correction methods are implemented in the version 04 of the DPR algorithms, which have been issued since 2016. In this study, to validate parameters used in the NUBF correction methods, high-resolution DPR synthetic data is produced from ground-based radar data. A new method to estimate NUBF parameters is proposed by using KaPR's high-sensitivity mode. The new method is shown to more accurately estimate NUBF parameters. Two NUBF parameter estimation methods are implemented in the DPR algorithm and the differences in surface rain rate estimates are assessed quantitatively.
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