Assessment of pollutant level and forecasting water pollution of Chennai coastal, TamilNadu using R

Rajchandar Padmanaban, S. Karuppasamy, Rubini Narayanan

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Abstract

Present study analyzes the water samples of 32 stations from Chennai coastal area over the period of 35 years (1980 to 2015). In this study “R programming” language was introduced to analyze the dispersion and concentrations of Biochemical Oxygen Demand (BOD), Dissolved Oxygen (DO), Chemical Oxygen Demand (COD), pH, temperature, nutrients (nitrate, nitrite and phosphate), turbidity and Chlorophyll (Chla). Analysis of water sample for the last three decades indicate that the concentration and dispersion of above parameters reached abnormal level and outstripped the allowable limit of International coastal cater water quality standards. Finally, the future water pollution levels of sampling stations are predicted by employing Autoregressive Integrated Moving Average (ARIMA) model and Exponential smoothing in R.

Original languageEnglish
Pages (from-to)1420-1429
Number of pages10
JournalIndian Journal of Geo-Marine Sciences
Volume47
Issue number7
Publication statusPublished - 1 Jul 2018

Keywords

  • ARIMA model
  • Automatic forecasting
  • Coastal pollution
  • Exponential smoothing
  • R programming
  • Water pollution

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