News Updates Friday 22nd Jun 2018 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission last date of May/June 2018 extended to 25 June 2018, Submit online or at editor.ijcet@inpressco.com
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

Analysis of Water Parameters Using Haar Wavelet (Level 3)


Author : Kulwinder Singh Parmar, Rashmi Bhardwaj

Pages : 166-171
Download PDF
Abstract

 

Today, we are living in a water starved world. Water is an essential element for life. Most of countries fulfill the requirement of water from river water and ground water. Pollution in river water draws attention of government, public, NGO’s and environmentalists in India and world over. Wavelet analysis of water quality parameters COD (Chemical Oxygen Demand), BOD (Biochemical Oxygen Demand), DO (Dissolved Oxygen), WT (Water Temperature), AMM (Free Ammonia), TKN (Total Kjeldahl Nitrogen), TC (Total Coliform), FC (Fecal Coliform) and PH (Potential of Hydrogen) monitored at Nizamuddin bridge-mid stream (Delhi) of Yamuna River in India have been studied for last 10 years. 1-D Discrete and Continuous Wavelet transform using Haar Wavelet at level 3 have been analyzed for each water parameter. Discrete Haar Wavelet (level 3) analysis decomposes each data in 5 parts namely s, a3, d1, d2 and d3. The first part ‘s’ represents signal or raw data, second part ‘a3’ correspond to amplitude of signal for Haar Wavelet at level 3. d1, d2, d3 represents details of signal or raw data at three different levels. 1D continuous wavelet analysis has four parts; first part on top represents the analyzed signal or raw data, second part contains the scalograms values. The scale of color changes from minimum (dark color) to maximum (light color). The vertical axis shows the frequency values while the horizontal axis represents the number of days. The third part shows the daily variation of coefficients. The fourth part depicts the local maximums of related parameters.

 

Keywords: Wavelet Analysis, Water Pollutant, Statistical Analysis, Daubechies Wavelet.

 

Article published in International Journal of Current  Engineering  and Technology, Vol.2,No.1 (March- 2012)

 

 

Call for Papers
  1. IJCET- May/June 2018 Issue

    Submission Last Date extended to
    25 June
  2. DOI is given to all articles
  3. Current Issue
  4. IJTT-June-2018
  5. IJAIE-June-2018
  6. IJCSB-June-2018
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2018 INPRESSCO® All Rights Reserved