Journal of Hydrogeology & Hydrologic EngineeringISSN: 2325-9647

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Research Article, J Hydrogeol Hydrol Eng Vol: 3 Issue: 1

Applying Wavelet Decomposition Hydrological Time Series and the Optimization of Model Groups in Flood Forecasting

Chien-Ming Chou*
Department of Design for Sustainable Environment, MingDao University, 369 Wen-Hua Road, Peetow, Changhua 52345, Taiwan
Corresponding author : Dr. Chien-Ming Chou
Department of Design for Sustainable Environment, MingDao University, 369 Wen-Hua Road, Peetow, Changhua 52345, Taiwan
Tel:
+886-4-8876660
E-mail: jamin@mdu.edu.tw
Received: November 14, 2013 Accepted: January 15, 2014 Published: January 20, 2014
Citation: Chou CM (2014) Applying Wavelet Decomposition Hydrological Time Series and the Optimization of Model Groups in Flood Forecasting. J Hydrogeol Hydrol Eng 3:1. doi:10.4172/2325-9647.1000111

Abstract

Applying Wavelet Decomposition Hydrological Time Series and the Optimization of Model Groups
in Flood Forecasting

This study applies a redundant wavelet transform (WT) and an optimization of model groups to accurately forecast the flood of a watershed. Effective rainfall and direct runoff can be decomposed into detailed signals and an approximation by using a redundant WT. The AutoRegressive model with exogenous Input (ARX), nonlinear ARX (NARX), time-varying ARX, and time-varying NARX models are implemented in parallel at each resolution level, and the optimal model is selected as the forecasting model. The summation of the forecasting results obtained at various resolution levels yields the overall flood forecasting by applying the inverse WT. The first-stage validation results indicate that the optimalforecasting model at each resolution level for six events is timevarying NARX. The second-stage validation results show that the proposed approach is appropriate for modeling the rainfall-runoff process at each resolution level and estimating the overall runoff for small watersheds in Taiwan. The analytic results also confirm that the proposed wavelet-based method outperforms the conventional method, which uses data only at the original resolution level, because of the multi-resolution analysis (MRA) property of the wavelet transform.

Keywords: Hydrological modelling

international publisher, scitechnol, subscription journals, subscription, international, publisher, science

Track Your Manuscript

Awards Nomination

open access