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In this study, we analysed impacts of the recent increasing trend of exceedance rainfall thresholds for separation of data set and different research periods using Quantile Regression (QR) approach. And also we performed significant test for time series data using linear regression, Mann-Kendall test and Sen test over the Korean major 8-city. Spring and summer precipitation was tend to significant increase, fall and winter precipitation was tend to decrease, and heavy rainy days in last 30 years have increased from 3.1 to 15 percent average. In addition, according to the annual ranking of rainfall occurs Top 10 th percentile of precipitation for 3IQR (inter quartile range) of the increasing trend, most of the precipitation at the point of increasing trend was confirmed. Quantile 90% percenti le of the average rainfall 43.5mm, the increasing trend 0.1412mm/yr, Quantile 99% percentile of the average rainfall 68.0mm, the increasi ng trend in the 0.1314mm/yr were analyzed. The results can be used to analyze the recent increasing trend for the annual maximum v alue series information and the threshold extreme hydrologic information. And also can be used as a basis data for hydraulic structures design on reflect recent changes in climate characteristics.Key words : Trend analysis, Mann-Kendall test, Sen test, Quantile regression, 3IQR    8          Quantile Regression (QR)       Mann-Kendall, Sen  .       ,       ,    30  3.1~15%  . ,   Ranking  Top 10

The Recent Increasing Trends of Exceedance Rainfall Thresholds over the Korean Major Cities