Natural Science

Volume 3, Issue 1 (January 2011)

ISSN Print: 2150-4091   ISSN Online: 2150-4105

Google-based Impact Factor: 0.74  Citations  h5-index & Ranking

A numerical study of coupled maps representing energy exchange processes between two environmental interfaces regarded as biophysical complex systems

HTML  Download Download as PDF (Size: 1158KB)  PP. 75-84  
DOI: 10.4236/ns.2011.31011    4,283 Downloads   8,743 Views  Citations

Affiliation(s)

.

ABSTRACT

The field of environmental sciences is abundant with various interfaces and is the right place for the application of new fundamental approaches leading towards a better understanding of environmental phenomena. Following the definition of environmental interface by Mihailovic and Bala? [1], such interface can be, for example, placed between: human or animal bodies and surrounding air, aquatic species and water and air around them, and natural or artificially built surfaces (vegetation, ice, snow, barren soil, water, urban communities) and the atmosphere, cells and surrounding environment, etc. Complex environmental interface systems are (i) open and hierarchically organised (ii) interactions between their constituent parts are nonlinear, and (iii) their interaction with the surrounding environment is noisy. These systems are therefore very sensitive to initial conditions, deterministic external perturbations and random fluctuations always present in nature. The study of noisy non-equilibrium processes is fundamental for modelling the dynamics of environmental interface regarded as biophysical complex system and for understanding the mechanisms of spatio-temporal pattern formation in contemporary environmental sciences. In this paper we will investigate an aspect of dynamics of energy flow based on the energy balance equation. The energy exchange between interacting environmen- tal interfaces regarded as biophysical complex systems can be represented by coupled maps. Therefore, we will numerically investigate coupled maps representing that exchange. In ana- lysis of behaviour of these maps we applied Lyapunov exponent and cross sample entropy.

Share and Cite:

Mihailović, D. , Budinčević, M. , Kapor, D. , Balaž, I. and Perišić, D. (2011) A numerical study of coupled maps representing energy exchange processes between two environmental interfaces regarded as biophysical complex systems. Natural Science, 3, 75-84. doi: 10.4236/ns.2011.31011.

Cited by

[1] Environmental interface: Definition and introductory comments
Time and Methods in Environmental Interfaces Modelling, 2017
[2] Logistic difference equation on extended domain
Time and Methods in Environmental Interfaces Modelling, 2017
[3] Coupled logistic maps in the environmental interfaces modelling
Time and Methods in Environmental Interfaces Modelling, 2017
[4] The Effect of Foreign Direct Investment in Economic Growth from the Perspective of Nonlinear Dynamics
Journal of Engineering Science and Technology Review, 2015
[5] The Effect of Foreign Direct Investment in Economic Growth from the Perspective of Nonlinear Dynamics.
2015
[6] Climate predictions: the chaos and complexity in climate models
Advances in Meteorology, 2014
[7] Forming the Functional Time in Process of Biochemical Substance Exchange Between Cells in a Multicellular System
Modern Physics Letters B, 2012
[8] Coupled maps serving the exchange processes on the environmental interfaces regarded as complex systems
Natural Science, 2012
[9] Comparing a small gravel-less perforated pipe leach fields (GPPLF) to a medium one in treating domestic sewage
Natural Science, 2012
[10] Maps serving the combined coupling for use in environmental models and their behaviour in the presence of dynamical noise
Chaos, Solitons & Fractals, 2012
[11] Kolmogorov complexity and chaotic phenomenon in computing the environmental interface temperature
Modern Physics Letters B, 2012
[12] Maps serving as the combined coupling between interacting environmental interfaces and their behavior in the presence of dynamical noise
Fluid Mechanics of Environmental Interfaces, 2012

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.