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Wavelet Analytical Study of Ramganga River Water Quality and its Extended Behaviour Kumar Anil1,*, Dr.Associate Professor 1Department of Physics, Hindu College, Moradabad (U.P.), India. *Corresponding Author E-mail: akumarmbd@gmail.com
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. Top Keywords Approximation, Detail, Prediction, Ramganga, Trend, Wavelet. Top | | | |
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