Modeling of nonstationary oscillation hydroclimatic processes employing EMD

• 영문명: Modeling of nonstationary oscillation hydroclimatic processes employing EMD
• 발행기관: 한국방재학회
• 저자명: Lee, Taesam Ouarda, Taha B.M.J.
• 간행물 정보: 『3. 한국방재학회 학술대회논문집』2014년, 382~382쪽, 전체 1쪽
• 주제분류: 공학 > 기타공학
• 파일형태: PDF
• 발행일자: 2014.02.19

영문 초록

Reproducing nonstationary oscillation (NSO) processes in a stochastic time series model is a difficult task because of the complexity of the nonstationary behaviors. In the current study, a novel stochastic simulation technique that reproduces the NSO processes embedded in hydroclimatic data series is presented. The proposed model reproduces NSO processes by utilizing empirical mode decomposition (EMD) and nonparametric simulation techniques (i.e., k-nearestneighbor resampling and block bootstrapping). The model was first tested with synthetic data sets from trigonometric functions and the Rossler system. The North Atlantic Oscillation (NAO) index was then examined as a real case study. This NAO index was then employed as an exogenous variable for the stochastic simulation of streamflows at the Romaine River in the province of Quebec, Canada. The results of the application to the synthetic data sets and the real-world case studies indicate that the proposed model preserves well the NSO processes along with the key statistical characteristics of the observations. It was concluded that the proposed model possesses a reasonable simulation capacity and a high potential as a stochastic model, especially for hydroclimatic data sets that embed NSO processes.

키워드

empirical mode decomposition hydroclimatic processes nonstationary oscillation Stochastic simulation