WQI Based Studies on Groundwater Quality at Andhra University Campus, Visakhapatnam

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IJSTE - International Journal of Science Technology & Engineering | Volume 3 | Issue 09 | March 2017 ISSN (online): 2349-784X

WQI Based Studies on Groundwater Quality at Andhra University Campus, Visakhapatnam Dr. G. V. R. Srinivasa Rao Professor Department of Civil Engineering Andhra University, Visakhapatnam

Dr. Y. Abbulu Professor Department of Civil Engineering Andhra University, Visakhapatnam

T. P. Sreejani Junior Research Fellow Department of Civil Engineering Andhra University, Visakhapatnam

Abstract In this present work, Water Quality Index (WQI) based study on Groundwater quality at Andhra University Campus, Visakhapatnam is aimed at to evaluate its suitability for drinking purpose. Groundwater samples are collected from the twenty five bore wells during the Post-monsoon (November 2015 to February 2016), Pre-monsoon (March 2016 to June 2016) and Monsoon (July 2016 to October2016) periods at regular intervals of time and are analysed for various physico-chemical parameters using standard laboratory procedures. The Water quality Indices (WQI) calculated both in National Sanitation Foundation Water Quality Index (NSFWQI) and Weighted Arithmetic Index Water Quality Index (WAIWQI) methods indicated that the quality of groundwater is found to be good with respect to physico-chemical parameters in all seasons in the study area and suitable for drinking purpose. Keywords: Monsoon, Pre-Monsoon, Post-Monsoon, WQI, NSFWQI and WAIWQI ________________________________________________________________________________________________________ I.

INTRODUCTION

Water is the valuable and crucial resource for sustenance of life and also for any developmental activity. Groundwater is an important source of water supply throughout the world. However, in the recent past groundwater quality is getting deteriorated due to various reasons and making it unsuitable for drinking purposes. Hence, it became necessary to assess the groundwater quality spatially over sufficient periods of time to arrive at its suitability for various purposes. Water quality indices are aggregation and communication tools for monitoring water quality. These indices have been developed to summarize water quality data in an easily expressible and understandable format with less information than the raw data. WQI indicates the quality of water in terms of a index number which represents overall quality of water for any proposed use. The WQI improves the comprehension of general water quality issues presents the spatial and temporal water quality information and illustrates the need for effectiveness of protective practices.(Curtis G.Cude, 2001). The temporal variations in the quality of groundwater due to external inputs can also be traced out using WQI and has been established in the study conducted by (Prashant N. Rajankar et.al, 2011) in the Bhandara district, Maharastra. The source of pollution to deteriorate the groundwter quality whether it is point or area can be suggested by visualizing the WQI distributions using GIS software. One such study conducted by A. Gibrilla et.al, (2011), at Densu river basijn of Ghana has shown an increase in anthropogenic contributions to pollution in the study areas. From the study based on WQI conducted by Rupal (2012) in Surat city, India, it is observed that there are higher values of Iron, TDS, Hardness, Chloride and Manganese in groundwater and it needs to be protected from the perils of contamination. A study conducted by Sanjib Das (2013) in and around Kolkata has shown that 66% of Groundwater samples are not fit for drinking due to high contents of Chlorides & Hardness. Similarly, the WQI studies have shown that the groundwater is unfit for drinking in major portions of the Dwarka district, in Delhi. (Ravi Kant Dubey, 2014). The modified water quality indices along with their sub-indices to assess the quality of groundwater in urban areas which describe the overall water quality more reliably. (Mohammad Reza Mohebbia et.al, 2013). Additional inputs like entropy weights make WQI perfect resulting in more reasonable results. This has been demonstrated in the study on Groundwater quality using WQI by Li Pei-Yue et.al (2010) in the study area, Pengyang County, North West China. II. STUDY AREA The study area, Andhra University is located in Visakhapatnam, Andhra Pradesh. It lies between latitude 17º43’5.38’’N and longitude 83º19’17.61’’E with an area of 422 acres and a varying elevation from 10MSL to 62.5 MSL. The average annual

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