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Title
Japanese:Genetic Programmingを用いたタイ王国ピン川上流域降水量季節予測 
English:Seasonal Prediction of Precipitation in Thailand, Upper Ping River Basin by Genetic Programming 
Author
Japanese: 長谷川青春, 鼎信次郎.  
English: Kiyoharu Hasegawa, Shinjiro Kanae.  
Language Japanese 
Journal/Book name
Japanese:土木学会論文集B1（水工学） 
English:Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 
Volume, Number, Page 75    2    p. 1195-1200
Published date Nov. 2019 
Publisher
Japanese:公益社団法人土木学会 
English:Japan Society of Civil Engineers 
Conference name
Japanese: 
English: 
Conference site
Japanese: 
English: 
Official URL https://www.jstage.jst.go.jp/article/jscejhe/75/2/75_I_1195/_article/-char/ja
 
DOI https://doi.org/10.2208/jscejhe.75.2_I_1195
Abstract This research focuses on the seasonal prediction of precipitation in Thailand. Seasonal scale prediction requires to consider mutual relationship between atmosphere, ocean and land. 9 climate indices are investigated in order to extract features of those relationship. 2 statistical model, Multi linear regression model(MLR) and Genetic programming model(GP) are applied for prediction.  As a result, GP succeeded to predict large fluctuations in some years. MLR, however, underestimated these fluctuations. GP still has to be improved for practical use for dam operation.

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