A hybrid wavelet-Lyapunov exponent model for river water quality forecast

• Published in: Journal of hydroinformatics Vol. 23; no. 4; pp. 864 - 878
• Main Authors: Jiang, Jiping, Tang, Sijie, Liu, Rentao, Sivakumar, Bellie, Wu, Xiaoye, Pang, Tianrui
• Format: Journal Article
• Language: English
• Published: London IWA Publishing 01.07.2021
• Subjects: Ammonia; Chaos theory; Chemical oxygen demand; Dissolved oxygen; Dynamics; hybrid model; Hydrology; Liapunov exponents; lyapunov exponent; Machine learning; Mathematical models; Nitrogen; nonlinearity; River water; Rivers; Signal quality; Spectra; Spectral theory; Stream flow; Theories; Time series; Water purification; Water quality; wavelet; Wavelet transforms; Weekly; United States > US

The use of spectral theory and chaos theory on river water quality modeling is reported in a very limited way. This study proposes a wavelet-maximum Lyapunov exponent (WMLE) hybrid model for river water quality dynamics, combining spectral theory and chaos theory. The methodology involves the follow...