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A non-stationary\nfrequency analysis to calculate a design rainfall must be performed for a non-stationary rainfall data.\nIn this paper, the Monte Carlo simulation is applied to compare the power of the statistical tests: Student\u2019s t test,\nMann-Kendall test, Mann-Whitney test and bootstrap test to assess the significance of trend and jump for a time\nseries with General Extreme Value distribution. Practical assessment of the significance of trends and jumps in the\nannual maximum daily rainfall of 22 meteorological observatories in Hokkaido demonstrates that a positive trend is\nsignificant for Sapporo and Tomakomai, one jump is significant for six observatories, two and three jumps are\nsignificant for Esashi and Kushiro, respectively.", "subitem_description_type": "Abstract"}]}, "item_3_full_name_183": {"attribute_name": "\u8457\u8005\u5225\u540d", "attribute_value_mlt": [{"nameIdentifiers": [{"nameIdentifier": "42328", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "NAKAO, Takashi", "nameLang": "en"}]}, {"nameIdentifiers": [{"nameIdentifier": "42329", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "SADO, Kimiteru", "nameLang": "en"}]}, {"nameIdentifiers": [{"nameIdentifier": "42330", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "SUGIYAMA, Ichiro", "nameLang": "en"}]}]}, "item_3_publisher_212": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": 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