The Tracks of Rainy Western Systems and Their Climatic Context. Case Study: Zagros Kaykhosravy Area

Document Type : Original Article

Authors

1 PhD Student, Department of Geography, Najafabad Branch, Islamic Azad University, Najafabad, Iran

2 Professor, Department of Geography, Najafabad Branch, Islamic Azad University, Najafabad, Iran , and Faculty of Geography and Planning of Isfahan University, Isfahan, Iran

3 Associate Professor Department of Geography, Najafabad Branch, Islamic Azad University, Najafabad, Iran

Abstract

The title of this article has two new meanings that are not commonly used in classical climatology, and this implies a particular issue. These two terms are the clima- context and the Kaykhosaravy Zagroos. The first word implies a concept borrowed from the theory of genet (1930), and in the language of climatology means that the places contain a clima- context and these are forming the behavior of the climatic systems. The second word (Kaykhosaravy Zagroos) is a space concept used for one of the two most prominent rainy core and means the Zagroos hat.
This research is based on the Anthropocene theory (the human age in which man became the dominant force on the earth's system.) and choes theory (in this theory, it is believed that in all phenomena there are points where a slight change in them will make great changes and This principle is particularly true in atmospheric and climate models

References

  1.  

    1. Alshammari M., Pavlovic M., AL Qaied B.A., 2016, Chaos Theory in Strategy Research ,American Journal of Business and Management, Vol. 5, No. 1, pp1-13 .
    2. Azadi, M ,2018, Iran National Water Park - Case Study: Kekhosrowi Zagros, Master's Thesis, Guidance Teachers, Mohammad Hossein Ramesht, and Kourosh Shirani, University of Isfahan, Natural History Department.
    3. Culling, W. E. D. Equifinality:1985, chaos, dimension and pattern. The concepts of non - linear dynamical systems theory and their potential for physical geography. London School of Economics, Geography Discussion Paper, New Series No. 19.
    4. Ghys E., 2015, The Butterfly Effect, The Proceedings of the 12th International Congress on Mathematical Education, pp 19-39.
    5. Harrison, R. G. and D.J. Biswas,  1986, Chaos in light. Nature, Vol.321.
    6. J Dooley K., 2009,The Butterfly Effect of the "Butterfly Effect", Nonlinear Dynamics Psychology and Life Sciences, 13(3),pp279-288.
    7. Nematollahi F.,2014,Terrestrial space in geomorphology. Innovation in the field of geography, Geography and Environmental Plannin , Issue 53, PP 109-120.
    8. Nicolis, C., 1987, Long-term climatic variability and chotic dynamics. TeIIus, Vol. 39.
    9. Nykvist B.,2012, Social learning in the Anthropocene Governance of natural resources in human dominated systems : Department of Systems Ecology Stockholm University, P.48.
    10. Paglia E., 2016, The Northward Course of the Anthropocene: Transformation, Temporality and Telecoupling in a Time of Environmental Crisis. KTH Royal Institute of Technology.
    11. Steffen B.W., Grinevald J., Crutzen P., and Mcneill J., 2011, The Anthropocene: conceptual and historical perspectives, Phil. Trans. R. Soc. 369, pp842–867.
    12. Stewart, C.A. and D.L Turcotte, 1989, Does God Play Dice? Oxford: Blackwell.
    13. Zadeh.L., A fuzzy sets,1965, information and control.

Journal of Climate Research
Volume 1398, Issue 39 - Serial Number 39
Vol. 10- No. 39- Autumn 2019
September 2020
Pages 29-40

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