Titlebook: Chaos in Hydrology; Bridging Determinism Bellie Sivakumar Book 2017 Springer Science+Business Media Dordrecht 2017 Chaos.Complexity.Hydrolo

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https://doi.org/10.1007/978-3-8350-9433-8ies in hydrology. Early applications mainly focused on identification and prediction of chaotic behavior in river flow dynamics. Later years witnessed studies on a wide range of problems associated with river flow, including scaling and disaggregation, missing data estimation, reconstruction of syst

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Reflection and Self-assessment in Practice, on the fundamental assumptions involved in the development of methods for identification and prediction of chaos (e.g. infinite and noise-free time series, lack of clear-cut guidelines on the selection of parameters involved) and/or the limitations of hydrologic data (e.g. short and noisy data, pre

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Reflection and Self-assessment in Practice, and data issues. The review also reveals that we now possess an ample level of understanding of the concepts and methods and are far more confident in applying the methods and interpreting the outcomes. This chapter discusses the current status of chaos theory in hydrology. In particular, five diff

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Processes in Portfolio Development Journey,in turn, provide interesting ways to further explore the relevance and role of chaos theory in hydrology. An obvious question to ask is: if, and how, chaos theory fits within our two dominant, but extreme, views of hydrology of the twentieth century: deterministic and stochastic? This chapter attemp

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https://doi.org/10.1007/978-90-481-2552-4Chaos; Complexity; Hydrology; Modeling; Nonlinear dynamics; Prediction; hydrogeology

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978-94-024-1314-4Springer Science+Business Media Dordrecht 2017

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Introductionf water and its change in physical state is called the .. The study of water started at least a few thousands years ago, but the modern scientific approach to the hydrologic cycle started in the seventeenth century. Since then, hydrology has witnessed a tremendous growth, especially over the last ce