Bootstrap methods is the computer-based resampling method that estimates the standard errors and confidence intervals of summary statistics using the plug-in principle for assessing the accuracy or uncertainty of statistical estimates, and the BCa method among the Bootstrap methods is known much superior to other Bootstrap methods in respect of the standards of statistical validation. Therefore this study suggests the method of the representation and treatment of uncertainty in flood risk assessment and water resources planning from the construction and application of rainfall frequency analysis model considersing the uncertainty based on the nonparametric BCa method among the Bootstrap methods for the assessement of the estimation of probability rainfall and the effect of uncertainty considering the uncertainty of the parameter estimation of probability in the rainfall frequency analysis that is the most fundamental in flood risk assessement and water resources planning.

Abstract
 1. 서 론
 2. BCa 기법
  2.1. 비매개변수적 BCa 기법
  2.2. BCa 신뢰구간 산정을 위한 알고리즘
 3. 결과 및 고찰
  3.1. 적용유역 및 분석개요
  3.2. BCa 기법의 적용 및 고찰
 4. 결 론
 참 고 문 헌

• 서영민(영남대학교 토목공학과) | Young Min Seo (Department of Civil Engineering, Yeungnam University)
• 박기범(동양대학교 철도토목과) | Ki Bum Park (Department of Railroad and Civil Engineering, Dongyang University) Corresponding Author