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.

This authoritative book presents a comprehensive account of the essential roles of nonlinear dynamic and chaos theories in understanding, modeling, and forecasting hydrologic systems. This is done through a systematic presentation of: (1) information on the salient characteristics of hydrologic systems and on the existing theories for their modeling; (2) the fundamentals of nonlinear dynamic and chaos theories, methods for chaos identification and prediction, and associated issues; (3) a review of the applications of chaos theory in hydrology; and (4) the scope and potential directions for the future. This book bridges the divide between the deterministic and the stochastic schools in hydrology, and is well suited as a textbook for hydrology courses.

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