TY-Jour T1 - 涉及卓越异常数据对设计洪水幅度Y1 - 2015-06-18 N2的效果 - 术语“异常值”通常用于指单个数据点，这些点似乎从另一个趋势中显着地离开数据。异常值分为三种类型：不正确的观察，从基本上与其他最大值相同的现象产生的罕见事件，以及由不同现象产生的罕见事件。首先在完整的数据系列（包括异常值）上进行泛频分析，然后在删除异常值的系列上进行。Results revealed that omission of the outlier data didn’t affect the probability distribution function (Log-Pearson type III), but the design discharge reduced by 60 percent in 10000 year return period from 3320 (m3/s) to 1340 (m3/s). Furthermore, the method proposed by the U.S. Water Resources Council (WRC), and the HEC-SSP software were applied in order to compose outlier data with other systematic data and to modify the parameters of the statistical distribution. Using WRC method, the estimated 10000-year flood was equaled to 1907 (m3/s) by designating the outlier as the 200-year return period and revising the parameters of Log-Pearson type III distribution; that is about 43 percent decrease over the scenario involving the outlier. JF - Current World Environment JA - VL - 30 IS - 32 UR - www.a-i-l-s-a.com/article/797/ SP - EP - PB - M3 - 10.12944/CWE.10.2.38 ER -