Wavelet and statistical analysis of river water quality parameters

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• 作者：Kulwinder Singh Parmar ; Rashmi Bhardwaj ; ^{rashmib22@gmail.com}
• 关键词：Wavelet analysis ; Water pollutant ; Statistical analysis ; Daubechies wavelet
• 刊名：Applied Mathematics and Computation
• 出版年：2013
• 出版时间：15 June, 2013
• 年：2013
• 卷：219
• 期：20
• 页码：10172-10182
• 全文大小：2476 K

文摘

Statistical and 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. It has been observed that COD is highly correlated with BOD, AMM and TKN. Daubechies wavelet at level 5 (Db₅) have been calculated for each water quality parameters as it gives the finer scale approximation and decomposition of each water parameters. Wavelet decomposition and approximation using Db₅ of each parameters presented in seven parts namely s, a₅, d₁, d₂, d₃, d₄ and d₅ where ¡°s¡± represents signal or raw data; low frequency part ¡°a₅¡± gives an approximate of signal at level 5; high frequency parts d₁, d₂, d₃, d₄ and d₅ contains the detail of ¡°s¡± at different levels respectively.