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

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發(fā)表于 2025-3-21 16:08:44 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Chaos in Hydrology
副標題Bridging Determinism
編輯Bellie Sivakumar
視頻videohttp://file.papertrans.cn/224/223888/223888.mp4
概述Offers a new, simplified approach to hydrologic complexity, presenting the topic logically and accessibly.Comprehensive, systematic, articulate and lively.Written by authoritative practitioner in the
圖書封面Titlebook: Chaos in Hydrology; Bridging Determinism Bellie Sivakumar Book 2017 Springer Science+Business Media Dordrecht 2017 Chaos.Complexity.Hydrolo
描述.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..
出版日期Book 2017
關(guān)鍵詞Chaos; Complexity; Hydrology; Modeling; Nonlinear dynamics; Prediction; hydrogeology
版次1
doihttps://doi.org/10.1007/978-90-481-2552-4
isbn_softcover978-94-024-1314-4
isbn_ebook978-90-481-2552-4
copyrightSpringer Science+Business Media Dordrecht 2017
The information of publication is updating

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Machine parameters for numerical analysis,f 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
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P. Bioulac-Sage,J. Saric,C. Balabaud systems normally encountered in various scientific fields. These nonlinear methods often have very different conceptual bases and levels of sophistication and have been found suitable for studying many different types of systems and associated problems. Their relevance to hydrologic systems and abi
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Beschreibung von Porters Konzepte property of “chaos” refers to the combined existence of nonlinear interdependence, determinism and order, and sensitive dependence in systems. Chaotic systems typically have a ‘random-looking’ structure. However, their determinism allows accurate predictions in the short term, although long-term p
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https://doi.org/10.1007/978-3-8350-9433-8 and noise-free. There are also no clear-cut guidelines on the selection of parameters involved in the methods, especially in phase space reconstruction. Since data observed from real systems, such as hydrologic systems, are finite and often short and are always contaminated with noise (e.g. measure
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