AccScience Publishing / AJWEP / Volume 8 / Issue 4 / DOI: 10.3233/AJW-2011-8_4_13
RESEARCH ARTICLE

Correlation between Physicochemical Water Parameters Using Regression Analysis: A Case Study of River Ram Ganga at Moradabad, India

Animesh Agarwal1* Manish Saxena1 Megha Agarwal1
Show Less
1 Department of Applied Sciences and Humanities Moradabad Institute of Technology Ram Ganga Vihar Phase 2, Moradabad – 244001, India
AJWEP 2011, 8(4), 97–100; https://doi.org/10.3233/AJW-2011-8_4_13
Submitted: 24 March 2011 | Accepted: 31 August 2011 | Published: 1 January 2011
© 2011 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

A study was carried out in river Ram Ganga (India) to assess the extent of pollution by different industrial and domestic activities. Water samples were collected from river Ram Ganga at six sites and analysed for acidity, alkalinity, total dissolved solids (TDS), biological oxygen demand (BOD), chemical oxygen demand (COD) and dissolved oxygen (DO) during summer, winter and rainy season. The collected data subjected to statistical analysis and some good correlation between parameters is established. Regression equations also established between above parameters to predict the level of contamination of river Ram Ganga. The present study gives us a tool to find the value of physicochemical parameters and extent of pollution theoretically, which is not only time saving but also cost effective

Keywords
Environmental assessment
water quality
river water
correlation coefficient
physicochemical parameters
regression equation
scatter diagram
Conflict of interest
The authors declare they have no competing interests.
References

Agarwal, A. and M. Saxena (2011). Assessment of toxic effect of Brass and Steel industries waste on labeo Rohita in nearby river. International Journal of Environmental Engineering and Management, 2(1): 107–110.

APHA, AWWA, WPCF (1995). Standard methods for examination of water and wastewater, 19th edn., Washington D.C., USA.

Chindah, A.C., Braide, A.S. and O.C. Sibeudu (2004). Distribution of hydrocarbons and heavy metals in sediment and a crustacean from the bonny/new calabar river estuary, Niger Delta. Ajeam-Ragee, 9: 1–14.

Emongor, V., Kealotswe, E., Koorapetse, I., Sankwasa, S. and S. Keikanetswe (2005). Pollution indicators in Gaberone effluent. J. Appl. Sci., 5: 147–150.

Furtado, A.A.L., Albuquerque, R.T., Leite, S.G.F. and R.P. Pecanha (1998). Effects of hydraulic retention time on nitrification in an airlift biological reactor. Brazilian Journal of Chemical Engineering, 15: 1–7.

Kadongola, W.K. (1997). Environmental impact of landfills, M.Sc. Thesis. University of Botswana, Botswana.

Kumar, A. and M. Shukla (2010). Water Quality Index of river Sai at Raibareilly city, U.P. J. Echophysical Occup. Hlth., 2: 163–172.

Mohammad Alam and J.K. Pathak (2010). Rapid Assessment of Water Quality Index of Ram Ganga River,Western Uttar Pradesh (India) using a Computer Program. Nature and Science, 8(11): 15–18.

Pradhan, S.K., Patnaik, D. and S.P. Rout (2001). Water quality index for the ground water around a phosphatic fertilizer plant. Indian J. Env. Prot., 21(4): 355–358.

Sawyer, C.N., Mc Carty, P.L. and G.F. Parkin (1994). Chemistry for environmental engineering, 4th edn. McGraw-Hill Int. Edition.

Tiwari, T.N. and M. Mishra (1985). A preliminary assignment of water quality index of major Indian rivers. Indian J. Env. Prot., 5(4): 276–279.

Ugochukwu, C.N.C. (2004). Effluent monitoring of an oil servicing company and its impact on the environment. Ajeam-Ragee, 8: 27–30.

Share
Back to top
Asian Journal of Water, Environment and Pollution, Electronic ISSN: 1875-8568 Print ISSN: 0972-9860, Published by AccScience Publishing