Surface Water Quality Assessment and Prediction Modelling of Kathajodi River

Sipra Mallick, F Baliarsingh

Abstract


Water quality index (WQI), a technique of rating water quality, is an effective tool to access quality and ensure sustainable safe use of water for drinking. The main objective of the present study is to access the surface water quality of Kathajodi river for knowing the suitability of drinking purpose by calculating the WQI. Samples were collected from selected locations during different seasons (winter, summer, rainy) over a period of 3 years (2011, 2012, 2013). Water quality assessment was carried out for the parameters like pH, total dissolved solids, total suspended solids, Alkalinity, Biological Oxygen Demand(BOD), Dissolved Oxygen(DO), Chloride, Nitrate, Alkalinity, Total Hardness, Calcium, Magnesium. The main objective is to develop a model to assess and predict the water quality changes of Kathajodi River Basin Odisha, India using neural networks and compared with the statistical methods. The result shows the proposed ANN prediction model has a great potential to simulate and predict the strongly correlated parameters like TSS (Total Suspended Solids), TDS(Total Dissolved Solids), Alkalinity, BOD(Biological Oxygen Demand)with Mean Square Error (MSE) : TSSMSE = 1.78 ; TDSMSE = 0; AlkalinityMSE = 3.77 and BODMSE = 8E-03.The Neural Network model has been compared with Linear Regression model to find out the best modelling approach for the study area. And it is concluded that the neural network model is superior to Linear Regression Model.

Full Text:

PDF

References


Akkaraboyina, M.K. and Raju, B.S.N. Assessment of water Quality Index of River Godavari at Rajahmundry. Universal Journal of Environmental Research and Technology.2(3), 161-167 (2012).

Bandyopadhyay, G. and Chattopadhyay, S. “Single hidden layer artificial neural network models versus multiple linear regression model in forecasting the time series of total ozone,” Int. J. Environ.Sci. Tech., Vol. 4, No. 1, pp. 141-149, 2007.

Balasubramaniam, A. and Sastri, J.C.V. “Studies on the quality of groundwater of Tambaraparani River basin, Tamil Nadu”, Nat, Semi, Groundwater Mang, Tamil Nadu, Agricultural University, Coimbatore, pp.124-128, 1985.

Chandra Sekhar, M. and Satya Prasad, M.V.K. “Regression model for assessment of dissolved pollutants in Krishna river”, Journal of IndianWater Resources Society, Vol. 25, No. 4, pp. 46-49, 2005.

Dash, J.R., Dash, P.C. and Patra, H.K. “A Correlation and regression Study on the ground water quality in rural areas around Angul-Talcher Industrial zone”, Indian Journal of Environmental Protection, Vol. 26, No. 6, pp. 550-558, 2006.

Gopal Krishna, Surjeet Singh, “Assessment of water quality index of groundwater in Rajkot District, Gujurat, India, Journal of Earth science and climatic change. Vol. 7 No.3, 2015.

Ibrahim Bathusha, M. and Saseetharan, M.K. “Statistical study on physio-chemical characteristics of ground water of Coimbatore southzone”, Indian Journal of Environmental Protection, Vol.26, No.6,pp.508-515, 2006.

K.Ambiga and R. Anna Durai. “Development of water quality index and regression model for assessment of groundwater quality”, International Journal of Advanced Remote Sensing and GIS. Vol.4 Issue No.1 pp. 931-943, 2015.

Tiwari, T.N., Das, S.C. and Bose, P.K. “Correlation among water quality parameters of groundwater of Meerut District”, ActaScienciaIndica. Vol. 12, No.3, pp. 111-113, 1986.

Tiwari, T.N. and Manzoor Ali. “Water quality index for Indian rivres”,Ecology and pollution of Indian Rivers, Ed. R.K.Trivedi, Ashishpublishing House, New Delhi, pp. 271-286, 1988.




DOI: https://doi.org/10.23956/ijermt.v6i8.177

Refbacks

  • There are currently no refbacks.