The fundamental reasons for global catastrophes
Affiliation(s)
The Volgograd Branch of Moscow Humanitarian-Economics Institute, Volgograd, Russia. The Volgograd State Technical University, Volgograd, Russia.
The Volgograd Branch of Moscow Humanitarian-Economics Institute, Volgograd, Russia. The Volgograd State Technical University, Volgograd, Russia.
ABSTRACT
This paper uses a new statistical method for studying self-organization in order to explain the origins of global catastrophes, namely the exceeding of the critical level of the planet’s organization. This method differs from traditional methods, because it uses specific notions such as the “entrostat” and “critical level of the organization of the open system”.
Cite this paper
Shapovalov, V. and Kazakov, N. (2013) The fundamental reasons for global catastrophes. Natural Science, 5, 673-677. doi: 10.4236/ns.2013.56082.
Shapovalov, V. and Kazakov, N. (2013) The fundamental reasons for global catastrophes. Natural Science, 5, 673-677. doi: 10.4236/ns.2013.56082.
References
[1] Shapovalov, V.I. (1995) Entropiyny mir (The entropy world). Peremena, Volgograd. [2] Shapovalov, V.I. (2001) Formation of system properties and statistical approach. Automation and Remote Control, 62, 909-918. [3] Shapovalov, V.I. (2004) To the question on criteria of order change in open system: The statistical approach. Applied Physics, 5, 25-33. [4] Shapovalov, V.I. (2008) The criteria of order change in open system: The statistical approach. arXiv:0801.2126v1 [5] Shapovalov, V.I. (2008) Entropy oscillations. arXiv:0812.4031v1 [6] Shapovalov, V.I. (2012) The criterion of ordering and self organization of open system. Entropy oscillations in linear and nonlinear processes. International Journal of Applied Mathematics and Statistics, 26, 16-29. [7] Shapovalov, V.I. (2005) On fundamental mechanisms of tendency control. Control Sciences, 2, 2-11. [8] Klimontovich, Yu.L. (1987) Entropy evolution in self organization processes H-theorem and S-theorem. Physica, 142A, 390-404. [9] Beck, C. and Schlogl, F. (1993) Thermodynamics of chaotic systems. Cambridge University Press, Cambridge. [10] Crutchfield, J.P., Farmer, J.D., Packard, N.H. and Shaw, R.S. (1986) Chaos. Scientific American, 255, 46-58. [11] Berge, P., Pomeau, Y. and Vidal, Ch. (1988) L’ordre dans le chaos. Hermann, Paris. [12] Denbigh, K.G. and Denbigh, J.S. (1985) Entropy in relation to incomplete knowledge. Cambridge University Press, Cambridge. [13] Denbigh, K.G. (1989) Note of entropy. Disorder and disorganization. British Journal for the Philosophy of Science, 40, 323-347. [14] Shapovalov, V.I. (1990) Synergetics aspect of the law of the entropy growth. In: Pleskachevskiy, U.M., Ed., Non Traditional Scientific Ideas about Nature and Its Phenomena, Club FENID, Homel., 370-372. [15] Shapovalov, V.I. (2011) Entrostat. arXiv:1103.1139v1 [16] Shapovalov, V.I. (2005) Basis of ordering and self-organization theory. ISPO-Service, Moscow. [17] Shapovalov, V.I. and Kazakov, N.V. (2008) Formation of global tendencies: Scientific hypothesis about destruction of civilizations. arXiv:0801.3030v1 [18] EM-DAT (2012) The OFDA/CRED international disaster database. Université Catholique de Louvain, Brussels. http://www.emdat.be/natural-disasters-trends [19] Klimontovich, Yu.L. (1986) Statistical physics. Harwood Academic Publishers, New York. [20] Cover, T.M. and Thomson, J.A. (1991) Elements of information theory. Wiley, New York. [21] Glansdorff, P. and Prigogine, I. (1971) Thermodynamic theory of structure, stability, and fluctuations. Wiley-Inter science, New York.
[1] Shapovalov, V.I. (1995) Entropiyny mir (The entropy world). Peremena, Volgograd. [2] Shapovalov, V.I. (2001) Formation of system properties and statistical approach. Automation and Remote Control, 62, 909-918. [3] Shapovalov, V.I. (2004) To the question on criteria of order change in open system: The statistical approach. Applied Physics, 5, 25-33. [4] Shapovalov, V.I. (2008) The criteria of order change in open system: The statistical approach. arXiv:0801.2126v1 [5] Shapovalov, V.I. (2008) Entropy oscillations. arXiv:0812.4031v1 [6] Shapovalov, V.I. (2012) The criterion of ordering and self organization of open system. Entropy oscillations in linear and nonlinear processes. International Journal of Applied Mathematics and Statistics, 26, 16-29. [7] Shapovalov, V.I. (2005) On fundamental mechanisms of tendency control. Control Sciences, 2, 2-11. [8] Klimontovich, Yu.L. (1987) Entropy evolution in self organization processes H-theorem and S-theorem. Physica, 142A, 390-404. [9] Beck, C. and Schlogl, F. (1993) Thermodynamics of chaotic systems. Cambridge University Press, Cambridge. [10] Crutchfield, J.P., Farmer, J.D., Packard, N.H. and Shaw, R.S. (1986) Chaos. Scientific American, 255, 46-58. [11] Berge, P., Pomeau, Y. and Vidal, Ch. (1988) L’ordre dans le chaos. Hermann, Paris. [12] Denbigh, K.G. and Denbigh, J.S. (1985) Entropy in relation to incomplete knowledge. Cambridge University Press, Cambridge. [13] Denbigh, K.G. (1989) Note of entropy. Disorder and disorganization. British Journal for the Philosophy of Science, 40, 323-347. [14] Shapovalov, V.I. (1990) Synergetics aspect of the law of the entropy growth. In: Pleskachevskiy, U.M., Ed., Non Traditional Scientific Ideas about Nature and Its Phenomena, Club FENID, Homel., 370-372. [15] Shapovalov, V.I. (2011) Entrostat. arXiv:1103.1139v1 [16] Shapovalov, V.I. (2005) Basis of ordering and self-organization theory. ISPO-Service, Moscow. [17] Shapovalov, V.I. and Kazakov, N.V. (2008) Formation of global tendencies: Scientific hypothesis about destruction of civilizations. arXiv:0801.3030v1 [18] EM-DAT (2012) The OFDA/CRED international disaster database. Université Catholique de Louvain, Brussels. http://www.emdat.be/natural-disasters-trends [19] Klimontovich, Yu.L. (1986) Statistical physics. Harwood Academic Publishers, New York. [20] Cover, T.M. and Thomson, J.A. (1991) Elements of information theory. Wiley, New York. [21] Glansdorff, P. and Prigogine, I. (1971) Thermodynamic theory of structure, stability, and fluctuations. Wiley-Inter science, New York.