Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i39/100776
Year: 2016, Volume: 9, Issue: 39, Pages: 1-6
Original Article
P. Indira1*, S. Stephen Rajkumar Inbanathan2 , R. Samuel Selvaraj3 and A. Antony Suresh3
1 The Research and Development Centre, Bharathiar University, Coimbatore - 641046, Tamil Nadu, India; [email protected]
2 Postgraduate Research Department, The American College, Madurai - 625002, Tamil Nadu, India
3 Department of physics, Presidency College, Chennai - 600005, Tamil Nadu, India
*Author for correspondence
Indira
The Research and Development Centre
Email: [email protected]
In recent years numerous research were made to are expecting the weather especially the most temperature of a location. The urban regions are the maximum vulnerable regions which can be tormented by the increase in the temperature. The prevailing paper is geared toward quantifying the trade inside the surface air temperature at the most populated metropolitan town Chennai. The town has experienced rapid urbanization in the latest beyond. The principle objective of the paper is to broaden a forecast model for max temperature of the metropolis. The nonlinear nature of the temperature time series is analysed the usage of the lyapunov exponent. The effects of lyapunov exponent shows that there is chaos present inside the time collection facts. This gives a terrific foundation for the choosing reasonable forecasting version along with the segment area reconstruction strategies proposed via farmer forecast the temperature all through the summer season months.
Keywords: Chaos, Lyapunov Exponent, Phase Space Reconstruction
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