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Nonlinear Dynamics and Chaos with Applications to Hydrodynamics and Hydrological Modelling

Slavco Velickov
€248.00
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A01=Slavco Velickov
Author_Slavco Velickov
Average Mutual Information
Average Mutual Information Function
bayesian
Bayesian Networks
Category=KNB
chaos theory applications
Correlation Dimension
Correlation Exponent
Correlation Sum
Daily Rainfall Time Series
Data Sets
Deterministic Chaos
Dynamic Bayesian Network
Embedding Dimension
empirical
environmental systems analysis
eq_bestseller
eq_business-finance-law
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hidden
Hoek Van Holland
hydroinformatics modelling
Hydrological Modelling
markov
minimisation
Modelling Nonlinear Dynamical Systems
Multivariate Local Models
network
Nonlinear Dynamical Systems
Nonlinear Dynamics
nonlinear hydrological system prediction
phase
Phase Space
Poincare Section
Prediction Horizon
Rainfall Dynamics
Rainfall Time Series
Reconstructed Phase Space
reconstruction
risk
Scatter Plot
space
stochastic process modelling
Surge Prediction
time series forecasting
water resource simulation

Product details

  • ISBN 9781138475038
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 02 Oct 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

A hydroinformatics system represents an electronic knowledge encapsulator that models part of the real world and can be used for the simulation and analysis of physical, chemical and biological processes in water systems, in order to achieve a better management of the aquatic environment. Thus, modelling is at the heart of hydroinformatics. The theory of nonlinear dynamics and chaos, and the extent to which recent improvements in the understanding of inherently nonlinear natural processes present challenges to the use of mathematical models in the analysis of water and environmental systems, are elaborated in this work. In particular, it demonstrates that the deterministic chaos present in many nonlinear systems can impose fundamental limitations on our ability to predict behaviour, even when well-defined mathematical models exist. On the other hand, methodologies and tools from the theory of nonlinear dynamics and chaos can provide means for a better accuracy of short-term predictions as demonstrated through the practical applications in this work.

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