Trend analysis and estimation of hurst exponent for aerosol time series of Chennai

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Author: 
Najma Nikkath, S. and Samuel Selvaraj, R.
Abstract: 

In the present paper, We use the rescaled range(R/S) analysis to estimate the Hurst exponent of PM10 data of Chennai region .The Hurst exponent, H, is a self-similarity parameter that measures the long-range dependence in a time series, and provides a measure of long-term nonlinearity. It is found that the behaviour of PM10 aerosol of Chennai is persistent as the value of Hurst Exponent for various regions in Chennai is found to be ppersistent. The trend analysis of PM10 using Mankendall showed trend in all the regions other than Adayar. region of Chennai.

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