標(biāo)題: Titlebook: Chaos in Hydrology; Bridging Determinism Bellie Sivakumar Book 2017 Springer Science+Business Media Dordrecht 2017 Chaos.Complexity.Hydrolo [打印本頁(yè)] 作者: Boldfaced 時(shí)間: 2025-3-21 16:08
書(shū)目名稱Chaos in Hydrology影響因子(影響力)
書(shū)目名稱Chaos in Hydrology影響因子(影響力)學(xué)科排名
書(shū)目名稱Chaos in Hydrology網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Chaos in Hydrology網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Chaos in Hydrology被引頻次
書(shū)目名稱Chaos in Hydrology被引頻次學(xué)科排名
書(shū)目名稱Chaos in Hydrology年度引用
書(shū)目名稱Chaos in Hydrology年度引用學(xué)科排名
書(shū)目名稱Chaos in Hydrology讀者反饋
書(shū)目名稱Chaos in Hydrology讀者反饋學(xué)科排名
作者: Gustatory 時(shí)間: 2025-3-21 21:03
http://image.papertrans.cn/c/image/223888.jpg作者: ANA 時(shí)間: 2025-3-22 04:15
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作者: 休戰(zhàn) 時(shí)間: 2025-3-22 05:19 作者: 心胸開(kāi)闊 時(shí)間: 2025-3-22 12:16 作者: 極為憤怒 時(shí)間: 2025-3-22 13:09
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作者: 極為憤怒 時(shí)間: 2025-3-22 19:12
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作者: BORE 時(shí)間: 2025-3-22 22:07 作者: 爭(zhēng)論 時(shí)間: 2025-3-23 01:27
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作者: 狂熱文化 時(shí)間: 2025-3-23 08:39 作者: ALB 時(shí)間: 2025-3-23 10:59 作者: BLANC 時(shí)間: 2025-3-23 15:41
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作者: 燒瓶 時(shí)間: 2025-3-23 19:11 作者: 殘廢的火焰 時(shí)間: 2025-3-23 22:56
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作者: 同步左右 時(shí)間: 2025-3-24 05:53
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作者: 宇宙你 時(shí)間: 2025-3-24 08:30 作者: 幻影 時(shí)間: 2025-3-24 13:08
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作者: Fecundity 時(shí)間: 2025-3-24 18:43
https://doi.org/10.1007/978-90-481-2552-4Chaos; Complexity; Hydrology; Modeling; Nonlinear dynamics; Prediction; hydrogeology作者: Cuisine 時(shí)間: 2025-3-24 21:03
978-94-024-1314-4Springer Science+Business Media Dordrecht 2017作者: oracle 時(shí)間: 2025-3-25 00:48
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作者: 袋鼠 時(shí)間: 2025-3-25 04:05
Characteristics of Hydrologic Systemsity in climate inputs and the heterogeneity in the landscape, hydrologic systems exhibit a wide range of characteristics. While some characteristics may be specific to certain systems and situations, most hydrologic systems often exhibit a combination of these characteristics. This chapter discusses作者: 旅行路線 時(shí)間: 2025-3-25 09:13 作者: 貞潔 時(shí)間: 2025-3-25 14:18 作者: 合乎習(xí)俗 時(shí)間: 2025-3-25 19:02
Fundamentals of Chaos Theorye 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作者: Vo2-Max 時(shí)間: 2025-3-25 22:28 作者: minaret 時(shí)間: 2025-3-26 02:51
Issues in Chaos Identification and Prediction 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作者: Indigence 時(shí)間: 2025-3-26 04:42
Overviewd with the basic identification of chaos in rainfall data and subsequently explored a wide range of problems in different types of hydrologic data. The problems studied include identification and prediction of chaos, scaling and disaggregation, missing data estimation, and catchment classification, 作者: 否決 時(shí)間: 2025-3-26 11:33 作者: 浮雕 時(shí)間: 2025-3-26 14:35
Applications to River Flow Dataies 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作者: TAIN 時(shí)間: 2025-3-26 18:57 作者: semiskilled 時(shí)間: 2025-3-26 22:23 作者: defeatist 時(shí)間: 2025-3-27 05:11
Current Status 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作者: 稱贊 時(shí)間: 2025-3-27 06:45 作者: 百靈鳥(niǎo) 時(shí)間: 2025-3-27 13:17 作者: 推延 時(shí)間: 2025-3-27 17:17
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..978-94-024-1314-4978-90-481-2552-4作者: Flirtatious 時(shí)間: 2025-3-27 19:38
Intermediate languages: Current status, of these characteristics in hydrologic system dynamics and the methods for their identification. At the end, a particularly interesting property of hydrologic systems, wherein simple nonlinear deterministic systems with sensitive dependence on initial conditions can give rise to complex and ‘random作者: scotoma 時(shí)間: 2025-3-28 01:48
Portability of Numerical Softwarel structure, and it is essentially determined from the data themselves. This chapter presents an overview of stochastic time series methods in hydrology. First, a brief account of the history of development of stochastic methods is presented. Next, the concept of time series and relevant statistical作者: Lethargic 時(shí)間: 2025-3-28 05:36 作者: Itinerant 時(shí)間: 2025-3-28 10:06 作者: mortgage 時(shí)間: 2025-3-28 10:59
https://doi.org/10.1007/978-3-8350-9433-8s four important issues in the applications of chaos methods to real time series, especially those that have particular relevance and gained considerable interest in hydrology: selection of delay time in phase space reconstruction, minimum data size required for correlation dimension estimation, inf作者: EVEN 時(shí)間: 2025-3-28 15:34 作者: 與野獸博斗者 時(shí)間: 2025-3-28 22:43 作者: 分開(kāi) 時(shí)間: 2025-3-29 02:20
Reflection and Self-assessment in Practice,resence of zeros in data. Examples are also provided to illustrate how these issues have been addressed to gain more confidence in the applications of the methods and in the interpretation of the outcomes.作者: 欲望 時(shí)間: 2025-3-29 04:45
Reflection and Self-assessment in Practice, development of catchment classification framework, extensions of chaos studies using multiple hydrologic variables, reconstruction of hydrologic system equations, and downscaling of global climate models. Finally, the need and the potential to establish reliable links between chaos theory, hydrolog作者: JAUNT 時(shí)間: 2025-3-29 10:35
Characteristics of Hydrologic Systems of these characteristics in hydrologic system dynamics and the methods for their identification. At the end, a particularly interesting property of hydrologic systems, wherein simple nonlinear deterministic systems with sensitive dependence on initial conditions can give rise to complex and ‘random作者: Morose 時(shí)間: 2025-3-29 15:03
Stochastic Time Series Methodsl structure, and it is essentially determined from the data themselves. This chapter presents an overview of stochastic time series methods in hydrology. First, a brief account of the history of development of stochastic methods is presented. Next, the concept of time series and relevant statistical作者: CT-angiography 時(shí)間: 2025-3-29 17:11 作者: 種子 時(shí)間: 2025-3-29 20:56 作者: Endoscope 時(shí)間: 2025-3-30 00:50
Issues in Chaos Identification and Predictions four important issues in the applications of chaos methods to real time series, especially those that have particular relevance and gained considerable interest in hydrology: selection of delay time in phase space reconstruction, minimum data size required for correlation dimension estimation, inf作者: debouch 時(shí)間: 2025-3-30 06:02 作者: 雜役 時(shí)間: 2025-3-30 08:22
Applications to Other Hydrologic Datations to rainfall-runoff (i.e. runoff coefficient), sediment transport (i.e. flow discharge, suspended sediment concentration, and suspended sediment load), and groundwater (solute transport and arsenic contamination).作者: 模仿 時(shí)間: 2025-3-30 13:29 作者: 不知疲倦 時(shí)間: 2025-3-30 17:36
The Future development of catchment classification framework, extensions of chaos studies using multiple hydrologic variables, reconstruction of hydrologic system equations, and downscaling of global climate models. Finally, the need and the potential to establish reliable links between chaos theory, hydrolog作者: agitate 時(shí)間: 2025-3-31 00:06
Machine parameters for numerical analysis,n, the concept of hydrologic system is explained, followed by a description of the hydrologic system model and model classification. Finally, the role of hydrologic data and time series modeling as well as the physical basis of time series modeling are highlighted.作者: microscopic 時(shí)間: 2025-3-31 04:56 作者: 無(wú)脊椎 時(shí)間: 2025-3-31 08:47
Beschreibung von Porters Konzeptta noise, and presence of zeros in data. This chapter presents an overview of chaos studies in hydrology. The presentation is organized to reflect three stages of development: early stage (1980s–1990s), change of course (2000–2006), and studies on global-scale challenges (since 2007).作者: 矛盾心理 時(shí)間: 2025-3-31 10:59 作者: CROW 時(shí)間: 2025-3-31 14:14 作者: Truculent 時(shí)間: 2025-3-31 19:05
