Predicting a Daily Streamflow Using DVS Algorithm
Hung-Soo Kim, Si-Jung Choi, Joong Hoon Kim · Journal of the Korean Society of Civil Engineers · 1998
Hydrologic time series has been analyzed and forecasted by using classical linear models. However, there is growing evidence of nonlinear structure in natural phenomena and hydrologic time series associated with their patterns and fluctuations. Therefore, the classical linear techniques for time series analysis and forecasting may not be appropriate for nonlinear processes. A daily streamflow at St. Johns river near Cocoa. Florida, USA shows an interesting result of a low dimensional, nonlinear dynamical system. Based on the chaotic dynamical characteristic, DVS algorithm is used for short-term forecasting, as well as for exploring the properties of the system.