Chaos in Hydrology: Bridging Determinism and Stochasticity (Hardcover, 2017)

Introduction.- Part A: Hydrologic Systems and Modeling.- Characteristics of hydrologic systems and processes.- Conventional linear stochastic time series methods.- Modern nonlinear time series methods.- Part B: Nonlinear dynamics and chaos.- Fundamentals.- Identification of chaos.- Prediction of chaos.- Part C: Applications of chaos theory in hydrology.- Overview.- Applications to rainfall data.- Applications to river flow data.- Applications to other hydrologic data.- Studies on related problems. Part D: A look ahead.- Current status.- The future.- References.- Index