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- W3157466925 abstract "In this study, we performed a non-stationary frequency analysis using a power model and the model was applied for Seoul, Daegu, Daejeon, Mokpo sites in Korea to estimate the probable precipitation amount at the target years (2020, 2050, 2080). We used the annual maximum precipitation of 24 hours duration of precipitation using data from 1973 to 2009. We compared results to that of nonstationary analyses using the linear and logistic regression. The probable precipitation amounts using linear regression showed very large increase in the long term projection, while the logistic regression resulted in similar amounts for different target years because the logistic function converges before 2020. But the probable precipitation amount for the target years using a power model showed reasonable results suggesting that power model be able to reflect the increase of hydrologic extremes reasonably well." @default.
- W3157466925 created "2021-05-10" @default.
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- W3157466925 date "2014-07-01" @default.
- W3157466925 modified "2023-09-28" @default.
- W3157466925 title "Power 모형을 이용한 비정상성 확률강수량 산정" @default.
- W3157466925 hasPublicationYear "2014" @default.
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