American Journal of Water Resources
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American Journal of Water Resources. 2018, 6(4), 146-155
DOI: 10.12691/ajwr-6-4-1
Open AccessArticle

The Study of Water Quality and Pearson’s Correlation Coefficients among Different Physico-chemical Parameters of River Salandi, Bhadrak, Odisha, India

Pratap Kumar Panda1, , Rahas Bihari Panda2 and Prasant Kumar Dash3

1Department of Chemistry, A.B College, Basudevpur, Bhadrak, Odisha, India

2Department of Chemistry, VSSUT, Burla, Odisha, India

3Department of Chemistry, Bhadrak Autonomous College, Bhadrak, Odisha, India

Pub. Date: September 17, 2018

Cite this paper:
Pratap Kumar Panda, Rahas Bihari Panda and Prasant Kumar Dash. The Study of Water Quality and Pearson’s Correlation Coefficients among Different Physico-chemical Parameters of River Salandi, Bhadrak, Odisha, India. American Journal of Water Resources. 2018; 6(4):146-155. doi: 10.12691/ajwr-6-4-1

Abstract

The river Salandi, originated from Meghasani hill of Similipal reserve forest, passes through Hadagada dam, Bidyadharpur barrage, Agarpara town, Bhadrak municipality, Satbhauni, Dhusuri and finally meets the river Baitarani at Tinitaraf ghat before merging with the Bay of Bengal at Dhamara. The river, during its course of flow, receives forest decayed run off, mining wastes, agricultural effluents, industrial wastes, urban wastes, biomedical wastes and after all domestic wastes. In this work, the water samples collected from nine different sampling stations during summer, rainy, post-rainy and winter seasons were analysed by using standard procedures for sixteen physico-chemical parameters and experimental data were operated to calculate mean and standard deviation (SD) and finally Pearson’s correlation coefficients were calculated for twelve important parameters by applying SPSS-16 software. The analysis result shows that river water is polluted physically, chemically and bacteriologically with respect to iron, hexavalent chromium, chloride and bacteria, though the gravity of pollution was more during rainy and post-rainy seasons. The calculated Pearson’s correlation coefficients show that there exist positive and negative correlation among certain parameters.

Keywords:
water pollution heavy metals pearson’s correlation coefficients

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