Empirical analysis of Moon’s gravitational wave and earth’s global warming

Authors

  • Yoshio Matsuki The Laboratory for Econometrics and Forecasting at the World Data Center for Geoinformatics and Sustainable Development, the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine https://orcid.org/0000-0002-5917-8263
  • Petro I. Bidyuk Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine https://orcid.org/0000-0002-7421-3565

DOI:

https://doi.org/10.20535/SRIT.2308-8893.2018.1.09

Keywords:

global warming, Moon and Earth, global carbon dioxide, gravitational wave

Abstract

This research examines a possibility of a disturbance by Moon’s gravitational wave to the Earth’s global warming process in comparison with the increase of global volume of carbon dioxide. Because the general theory of relativity that predicts the gravitational wave of a planet has a dimension of 1/(distance)2, we analyzed the data sets of global temperature and global carbon dioxide, with this dimension of gravitational wave using Least Squares Estimation of Linear Classical Regression Model, Generalized Classical Regression Model, and Nonlinear Regression Model. The results suggest that there is a disturbance to the process of global warming by the Moon’s gravitational wave. However, there is uncertainty for this conclusion because the Moon’s rotational movement around Earth gives different type of distributions of its sample data, while global temperature and carbon dioxide increase proportionally accordingly to available time-series.

Author Biographies

Yoshio Matsuki, The Laboratory for Econometrics and Forecasting at the World Data Center for Geoinformatics and Sustainable Development, the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv

Matsuki Yoshio,

Doctor of Engineering Sci, the Head of the Laboratory for Econometrics and Forecasting at the World Data Center for Geoinformatics and Sustainable Development, the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine.

Graduated from St. Paul’s University (atom physics) in Tokyo, Japan in 1976, and graduated from the Harvard University in the USA in 1992 (methods of public administration with Econometrics). He got his Doctor of Science (energy science) in 2009 at Kyoto University in Japan.

Current areas of interest: Nuclear Reactor Physics, General Theory of Relativity and Tensor Equations, Applications of Econometrics in Natural Science and in Social Science.

Petro I. Bidyuk, Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv

Petro Bidyuk,

Dr. of eng. sci., a professor at Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine.

Graduated from the Kyiv Polytechnic Institute in 1972. He got his PhD (Candidate of Sciences) degree in Control Engineering in 1986, and Doctor of Engineering Sci.  in 1996.

Current areas of interest: Time Series Analysis, Forecasting and Control, Bayesian  Data Analysis, and Decision Support Systems (design and implementation).

References

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UK Department of Energy and Climate Change (DECC). — Available at: http://en.openei.org/datasets/dataset/b52057cc-5d38-4630-8395-b5948509f764/resource/f42998a9-071e-4f96-be52-7d2a3e5ecef3/download/england.surface.temp1772.2009.xls

Boden T.A. Global Regional and National Fossil-Fuel CO2 Emissions / T.A. Boden, G. Marland, R.J. Andres. — Available at: cdiac.ornl.gov/trends/emits/tre_ glob.html

Moon Distance Calculator — How Close is Moon to Earth? — Available at: https://www.timeanddate.com/astronomy/moon/distance.html?year=1987&n=367.

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Published

2017-03-20

Issue

No. 1 (2018)

Section

Mathematical methods, models, problems and technologies for complex systems research

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