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Title
Japanese:解析雨量を用いたモンテカルロシミュレーションによる高解像度豪雨イベントの発生 
English:Synthetic generation of spatially high resolution extreme rainfall in Japan using Monte Carlo simulation with AMeDAS analyzed rainfall data sets 
Author
Japanese: 渡辺春樹, 井芹慶彦, 佐々木織江, 武川晋也, 吉川沙耶花, 鼎信次郎.  
English: Haruki Watanabe, Yoshihiko Iseri, Orie Sasaki, Shinya Takamawa, Sayaka YOSHIKAWA, Shinjiro Kanae.  
Language Japanese 
Journal/Book name
Japanese:土木学会論文集B1（水工学） 
English: 
Volume, Number, Page 73巻(2017)    4    p. I373-I378
Published date Feb. 28, 2017 
Publisher
Japanese: 
English: 
Conference name
Japanese:第61回水工学講演会 
English: 
Conference site
Japanese:福岡市 
English: 
Official URL https://www.jstage.jst.go.jp/article/jscejhe/73/4/73_I_373/_article/-char/ja
 
DOI https://doi.org/10.2208/jscejhe.73.I_373
Abstract Natural disasters caused by heavy rainfall occur every year in Japan. In this study, a new method for generating synthetic extreme heavy rainfall events using Monte Carlo Simulation has been developed. We used AMeDAS analyzed rainfall data which is high resolution grid rainfall data. Depth area duration (DAD) analysis has been conducted to extract extreme rainfall events in the past. In the Monte Carlo Simulation, extreme rainfall event is generated based on events extracted by DAD analysis. We compared 100-year probable rainfall calculated by this method with other traditional method. New developed method method enables us to generate synthetic extreme rainfall events considering time and spatial scale.

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