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Monitoring of Seasonal Variation in Physicochemical Water Parameters in Nalasopara Region | OMICS International | Abstract
ISSN: 2157-7625

Journal of Ecosystem & Ecography
Open Access

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Research Article

Monitoring of Seasonal Variation in Physicochemical Water Parameters in Nalasopara Region

Parab Sangeeta* and Pradhan Neha

Chemistry Department, Jai Hind College, Churchgate, Mumbai-400020, Maharashtra, India

*Corresponding Author:
Parab Sangeeta
Chemistry Department, Jai Hind College
Church gate, Mumbai-400020, India
Tel: 91-9594541177
E-mail: [email protected]

Received Date: April 04, 2015; Accepted Date: May 15, 2015; Published Date: May 21, 2015

Citation: Sangeeta P, Neha P (2015) Monitoring of Seasonal Variation in Physicochemical Water Parameters in Nalasopara Region. J Ecosys Ecograph 5:156. doi:10.4172/2157-7625.1000156

Copyright: © 2015 Sangeeta P, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

The main objective of the present study was to assess physicochemical parameters in different water samples in various parts of Nalasopara region. Different water samples collected from sampling sites in Nalasopara region were use to determine the various physicochemical properties on a seasonal basis from July 2012 to May 2013. In sea water turbidity, fluoride, conductance and calcium is highest in winter, chloride and magnesium is increasing in summer whereas sodium, sulfate, nitrite, dissolved oxygen, pH and temperature are highest in monsoon season. High values of these parameters may have health implications and therefore are of great importance to public health. Highly positive correlation is observed between TH and Mg2+ (R2=0.998), Mg2+ and Cl- (R2=0.992) and TH and Cl- (R2=0.990). Our results revealed that the systematic calculations of correlation coefficient between water parameters and regression analysis provide a useful mean for rapid monitoring of water quality.

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