Chaos in Hydrology Bridging Determinism and Stochasticity /

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 syst...

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Main Author: Sivakumar, Bellie. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Subjects:
Online Access:https://doi.org/10.1007/978-90-481-2552-4
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245 1 0 |a Chaos in Hydrology  |h [electronic resource] :  |b Bridging Determinism and Stochasticity /  |c by Bellie Sivakumar. 
250 |a 1st ed. 2017. 
264 1 |a Dordrecht :  |b Springer Netherlands :  |b Imprint: Springer,  |c 2017. 
300 |a XXX, 394 p. 62 illus., 25 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a 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. 
520 |a 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. 
650 0 |a Hydrogeology. 
650 0 |a Hydrology. 
650 0 |a Civil engineering. 
650 0 |a Statistical physics. 
650 0 |a Dynamical systems. 
650 0 |a Geotechnical engineering. 
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650 2 4 |a Complex Systems.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/P33000 
650 2 4 |a Geotechnical Engineering & Applied Earth Sciences.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/G37010 
650 2 4 |a Statistical Physics and Dynamical Systems.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/P19090 
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