Version 1
: Received: 4 March 2020 / Approved: 5 March 2020 / Online: 5 March 2020 (12:02:36 CET)
How to cite:
Nayak, S. Assessment of Water Quality of Brahmani River using Correlation and Regression Analysis. Preprints2020, 2020030088. https://doi.org/10.20944/preprints202003.0088.v1
Nayak, S. Assessment of Water Quality of Brahmani River using Correlation and Regression Analysis. Preprints 2020, 2020030088. https://doi.org/10.20944/preprints202003.0088.v1
Nayak, S. Assessment of Water Quality of Brahmani River using Correlation and Regression Analysis. Preprints2020, 2020030088. https://doi.org/10.20944/preprints202003.0088.v1
APA Style
Nayak, S. (2020). Assessment of Water Quality of Brahmani River using Correlation and Regression Analysis. Preprints. https://doi.org/10.20944/preprints202003.0088.v1
Chicago/Turabian Style
Nayak, S. 2020 "Assessment of Water Quality of Brahmani River using Correlation and Regression Analysis" Preprints. https://doi.org/10.20944/preprints202003.0088.v1
Abstract
This work evaluates the surface water quality in terms of physico-chemical parameters of the Brahmani River, Odisha using statistical analysis involving the calculation of correlation coefficient and regression equation. Besides this, the work also highlights and draws attention towards the “Water Quality Index” in a simplified format which may be used at large and could represent the reliable picture of water quality. Surface water quality data is taken from OSPCB of various location i.e. Panposh D/S, Rourkela D/S, Rengali, Talcher U/S, Kamalanga D/S, Bhuban, Pattamundai and was assessed for summer, monsoon, winter for the years 2011, 2012, 2013, 2014 and 2015. Average of values, minimum of values and maximum of values of water quality parameters were obtained seasonally over the above mentioned years. Besides this, the standard deviation for the water quality parameters was also obtained for water quality parameters namely pH, Temperature, DO, TDS, Alkalinity, EC, Na+, Ca2+, Mg2+, K+, F-, Cl-, NO3-, SO42- and PO42-. Seasonal changes in various physical and chemical parameters were analysed.The values obtained were compared with the guideline values for drinking water by Bureau of Indian Standard (BIS). A systematic correlation and regression study is carried out for three seasons, showed linear relationship among different water quality parameters. This provides an easy and rapid method of monitoring water quality. Highly significant (0.8< r <1.0), moderately significant (0.6< r <0.8) and significant (0.5< r <0.6) correlations between the parameters have been worked out. High correlation coefficient has been observed between TDS,EC-Na+, Ca2+, Cl-, SO42- ; Na+- Cl-. From the collected quantities, certain parameters were selected to derive WQI for the variations in water quality of each designated sampling site. WQI of Brahmani River ranged from 36.7 to 44.1 which falls in the range of good quality of water.Panposh D/S and Rourkela D/S showed poor water quality in summer and winter season. It is shown that WQI may be a useful tool for assessing water quality and predicting trend of variation in water quality at differentlocations in the Brahmani River.
Keywords
Major ions; Physicochemical parameters; Pearson’s correlation matrix; Regression; Water Quality Index (WQI)
Subject
Engineering, Civil Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
