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Simulations

  • Zekâi ŞenEmail author
Chapter
Part of the Advances in Science, Technology & Innovation book series (ASTI)

Abstract

The natural behavior of earth systems is rather complex and their replicates can be generated by various stochastic models, which take into consideration deterministic and uncertainty components temporally, spatially, or spatio-temporally.

References

  1. Box, G.E.P., and Jenkins, G.M., (1970). Time Series Analysis: Forecasting and Control, Holden-Day, San Francisco.Google Scholar
  2. Cox, D.R., and Miller, H.D., (1965). The Theory of Stochastic Processes Methuen, London.Google Scholar
  3. Şen, Z., (1974). Small sample properties of the stochastic processes and the Hurst phenomenon in hydrology. Unpublished Ph. D. Thesis, University of London, Imperial College of Science and Technology, 296 pp.Google Scholar
  4. Şen, Z., (2012). Innovative Trend Analysis Methodology. Journal of Hydrologic Engineering, ASCE, Vol. 17(9):1042–1046.Google Scholar
  5. Şen, Z., (2014). Spatial Modeling Principles in Earth Sciences. Springer-Nature: 351 p.Google Scholar
  6. Şen, Z., (2017). Innovative trend significance test and applications. Theor. Appl. Climatol. Vol. 127: 939–947.Google Scholar
  7. Şen, Z., Mohorji, A.M. and Almazroui, M., (2017). Engineering risk assessment on water structures under climate change effects. Arabian J. Geoscience, Vol. 517,  https://doi.org/10.1007/s12517-017-3275-7.
  8. Thomas, H.A., and Fiering, M.B., (1962). Mathematical synthesis of stream flow sequences for the analysis of river basins by simulation. In: Design of Water Resources Systems.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Civil Engineering, Faculty of Engineering and Natural SciencesIstanbul Medipol UniversityBeykoz, IstanbulTurkey

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