ISSN

2231-3915 (Online)
2231-3907 (Print)


Author(s): Anil Kumar

Email(s): akumarmbd@gmail.com

DOI: 10.5958/2231-3915.2020.00023.1   

Address: Dr. Anil Kumar*
Associate Professor, Department of Physics, Hindu College, Moradabad (U.P.), India.
*Corresponding Author

Published In:   Volume - 10,      Issue - 2,     Year - 2020


ABSTRACT:
Ramganga River originates from Dudhatoli hills of Pauri Garhwal, Uttarakhand and covers 373 mile distance when meets to holy River Ganga at Kannauj, Uttar Pradesh. Maintaining its water quality is very important because population of several cities of Uttarakhand and Uttar Pradesh depends a lot on this River. Anthropogenic activities and industries outlets are the main cause behind its pollution. Wavelet transforms is a new and efficient analytical tool for analyzing non-stationary and transient signals/data. The data of water quality is decomposed into two approximation and detail components with help of low pass and high pass filters respectively. As the scale increases, the resolution decreases, and a better estimate of the unknown trend of the signal is obtained. The greatest scale value corresponds to the trend represents to the slowest part of the signal. Daubechies4 (db4) wavelet is taken as an adaptive wavelet for given data. The stationary wavelet transforms algorithm overcomes the lack of translation-invariance of the discrete wavelet transforms. The dissolved oxygen, biological oxygen demand and total coliforms data of station Kannauj, Uttar Pradesh from October 2015 to June 2020 are studied as water quality parameters and its extended behaviour up to April 2021 is predicted with help of stationary wavelet transforms. Some statistical parameters of the original data and extended data are determined and discussed to explore the quantitative behaviour of Ramganga River water quality parameters with time.


Cite this article:
Anil Kumar. Wavelet Analytical Study of Ramganga River Water Quality and its Extended Behaviour. Int. J. Tech. 2020;10(2):122-128. doi: 10.5958/2231-3915.2020.00023.1

Cite(Electronic):
Anil Kumar. Wavelet Analytical Study of Ramganga River Water Quality and its Extended Behaviour. Int. J. Tech. 2020;10(2):122-128. doi: 10.5958/2231-3915.2020.00023.1   Available on: https://ijtonline.com/AbstractView.aspx?PID=2020-10-2-2


REFERENCES:
1.    JJ Lin, Characterization of water-soluble ion species in urban ambient particles, Environment International. 2002; 28: 55–61.
2.    S Kumar, A Kumar, R Kumar, JK Pathak and M Alam, Spectral analysis of bio-chemical oxygen demand in River water: An analytical approach of discrete wavelet transform, American Journal of Mathematics and Statistics, 2014; 4(2): 107-112.
3.    JC Goswami and AK Chan, Fundamentals of Wavelets Theory, Algorithms and Applications, Willey-Interscience, New York, 1999.
4.    JP Antoine, Wavelet analysis: A new tool in Physics, Wavelets in Physics, JC Van Den Berg, ed., Cambridge University Press, Cambridge, 2004, pp. 9-21.
5.    I Daubechies, Ten lectures on wavelets, CBS-NSF, Regional Conference in Applied Mathematics, SIAM Philadelphia, 1992; 61: 278-285.
6.    SG Mallat, A Wavelet Tour of Signal Processing, Academic Press New York, 1998.
7.    SG Mallat, A theory for multiresolution signal decomposition: The Wavelet Representation, IEEE Trans. On Pattern Analysis and Machine Intelligence, 1989; 11: 674-693.
8.    A Cohen, I Daubechies and P Vail, Wavelets on the interval and fast algorithms, Journal of Applied and Computational Harmonic Analysis, 1993; 1: 54-81.
9.    RR Coifman and MV Wickerhauser, Entropy based algorithms for best basis selection, IEEE Trans. Inform. Theory, 1992; 38 (2): 713-718.
10.    GP Nason, and BW Silverman, The stationary wavelet transform and some statistical applications, Wavelet and Statistics: Lecture Note in Statistics, Springer, New York, 1995; 103: 281-299.
11.    H Ye, G Wang and XS Ding, A new parity space approach for fault detection based on stationary wavelet transform. IEEE Transactions on Automatic Control, 2004; 49; 281-287.
12.    H Wong, W Ip, Z Xie and X Lui, Modeling and forecasting by wavelets, and the application to exchange rates. Journal of Applied Statistics, 2003; 30(5): 537-553.
13.    L Xiaohong, Y Shujuan and L. Li, Prediction of temperature time series based on wavelet transform and support vector machine. Journal of Computers, 2012; 7(8): 1911-1918.
14.     M Rockinger and E Jondeau, Entropy densities with an application to autoregressive conditional skewness and kurtosis. Journal of Econometrics, 2002; 106(1): 119-142.

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