Ijraset Journal For Research in Applied Science and Engineering Technology
Authors: Mihirkumar B. Suthar, Rakesh L. Pagi, Tejal M. Suthar, Dr. J. R. Prajapati
DOI Link: https://doi.org/10.22214/ijraset.2024.65978
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According to UNDP World Urbanization Prospect Data Set, nearly 4.2 billion of World’s human population lives in towns and cities. After independence, the urban population of India has grown nearly five times during last 75 years. Gujarat has more than 37 % people living in cities and towns, higher than the average of India. Ahmedabad is the largest city of Gujarat and sixth largest city in India with a population of almost 5 million. It is located at 23.030 N 72.580 E. The present study was carried out to find water quality index (WQI) of drinking water from the data of 36 samples from 18 areas of Ahmedabad city studied in the year 2004. Water quality index is one of the most effective ways to communicate water quality information to the public and administrators. The data of total hardness, calcium hardness, magnesium hardness, chlorinity and salinity were subjected to WQI. The WQI was calculated by taking the weighted arithmetic mean of the quality rating using Gujarat Pollution Control Board (GPCB) drinking water standards. The present data indicate that most of samples are not suitable for drinking purpose. However, they can be used for drinking after proper treatment or else for other purposes.
I. INTRODUCTION
A water quality index (WQI) provides a single number (like a grade) that expresses overall water quality at a certain location and time based on several water quality parameters. The objective of an index is to turn complex water quality data into information that is understandable and useable by the public. This type of index is similar to the index developed for air quality that shows if it’s a red or blue air quality day. The use of an index to "grade" water quality is a controversial issue among water quality scientists and institutes (Kankal et al., 2008; Shah et al., 2008; Suthar and Mesariya, 2012; Suthar and Suthar, 2010). A single number cannot tell the whole story of water quality; there are many other water quality parameters that are not included in the Water Quality Index. The index presented here is not specifically aimed at human health or aquatic life regulations. However, a water index (numerical value) based on some very important parameters can provide a simple indicator of water quality. It gives the public a general idea the possible problems with the water in the region (Khandwala and Suthar, 2007). Our previous studies (Suthar et al., 2008a-d; Suthar et al.,) showed that various areas of Ahmedabad city have poor quality of drinking water. Hence, the present study was carried out as a part of continuous monitoring.
II. MATERIALS AND METHODS
The present study is associated with water quality evaluated from 18 areas of Ahmedabad city of Gujarat state. Ahmedabad is the largest city in Gujarat state located on the bank of Sabarmati River. It is located at 23.03°N and 72.58°E. Total 36 tap water samples were collected from municipal and tube well sources in the morning and labelled appropriately (Suthar et al., 2008a-d). Samples were analysed for various physico-chemical characteristics by standard methods (Sunilkumar & Ravindranath, 1998). The chemical parameters analysed were total hardness, calcium hardness, magnesium hardness, chlorides and salinity for WQI calculation.
The data were compared with Gujarat Pollution Control Board (GPCB) drinking water standards as mentioned by Kapila & Mehta (2006). These standards are same as IS: 10500 of Bureau of Indian Standards for parameters studied (Shankar & Balasubramanya, 2008). The data were analysed bio-statistically by calculating mean, range (minimum and maximum values) and Student’s t-test. Water quality index (WQI) was calculated based on GPCB standards.
A. Water Quality Index (WQI)
Water quality index (WQI) is a very useful and efficient method for assessing and communicating the information on overall quality of water. To determine suitability of water for drinking purposes, WQI is computed as per various researchers (Sinha and Saxena, 2006; Asadi et al., 2007; Dwivedi & Pathak, 2007). Five physicochemical parameters, viz. total hardness, calcium hardness, magnesium hardness, chlorinity, and salinity values of 2004 data were used to calculate WQI (Suthar et al., 2008a-d).
1) Calculation of unit weight (Wi)
For a given pollutant or component of water (ith parameter), if it is more harmful then its recommended standard (Si) for drinking water will have smaller magnitude. So, the unit weight (Wi) for the ith parameter is assumed to be inversely proportional to its recommended standard (Si) for the ith parameter. Where, i = 1, 2, 3…, n and n = number of parameters considered for WQI (n = 5 as five parameters studied in the present study).
Thus, Wi = K/Si
Where, K = Proportionality constant, Wi = Unit weight for ith parameter, Si = Drinking water standard (i.e. highest desirable limit) prescribed by GPCB (or BIS) for ith parameter].
The proportionality constant (K) was derived from
n
∑K = [1/∑1/Si]
i=1
These assumed unit weights (Wi) for all five water quality parameters used here as given in the last column of Table 1.
2) Calculation of quality rating (qi)
The quality rating (qi) was calculated for the ith parameter using the following formula.
qi = [(Vactual – Videal)/(Vstandard – Videal)] × 100
Where, qi = Quality rating of ith parameter; Vactual = Actual value of the ith parameter obtained from laboratory analysis; Videal = Ideal value of ith parameter which can be obtained from the standard tables (here, for all parameters, Videal is equivalent to zero) Vstandard = GPCB standard value of ith parameter (i.e., highest desirable value of ith parameter as per GPCB standards)
3) Calculation of subindex
The subindex (qiWi) has been calculated by multiplying quality rating (qi) and unit weight (Wi) of ith parameter.
4) Calculation of Water Quality Index (WQI)
The water quality index was calculated by taking the weighted arithmetic mean of the quality rating using following formula adopted by various investigators (Swarnalatha et al. 2007, Dwivedi & Pathak 2007, Shankar & Balasubramanya, 2008; Suthar et al., 2010).
WQI = [∑qiWi] /[∑Wi]
Here, ∑Wi = 1 was considered. Both the summations were taken from i = 1 to i = n = 5 (i.e., the total number of parameters considered in the present study). The status of water quality based on WQI was evaluated as per classification adopted by various investigators (Asadi et al., 2007; Suthar et al., 2010; Shah et al., 2008) as given in Table 1.
III. RESULTS
The water quality index (WQI) showed that almost 29 samples (80%) were having the index value more than 100. Only 7 samples were having WQI value less than 100. Both Municipality and Tubewell sources do not have any significant difference in mean WQI values. The calculated WQI data suggests that drinking water is unsafe as per GPCB standards adopted in present study.
Table: 1 Water Quality Parameters, Their GPCB Standards, Bureau Of Indian Standards (BIS:2003) Standards and assign unit weights
Name of Parameters |
Standard Value (Si) (Highest Desirable Limit) (HDL) |
Maximum Permissible limits (MPL) |
Unit weights used for WQI values (Wi) |
Total Hardness |
300 |
600 |
0.0592898 |
Calcium Hardness |
75 |
200 |
0.2371592 |
Magnesium Hardness |
30 |
90 |
0.5938982 |
Chlorinity |
250 |
1000 |
0.0711477 |
Salinity |
--(450#) |
1800 |
0.0395265 |
∑Wi |
|
|
1 |
GPCB = Gujarat Pollution Control Board standard values (as adopted by Kapila and Mehta, 2006)
#Salinity values were calculated from chlorinity value;
Double Dash ‘--’ represents there is no standards prescribed by GPCB (Kapila and Mehta, 2006).
Table: 2 Status of Water Quality Based on Water Quality Index (WQI) By
WQI value |
Status |
Number of samples in the present study |
Percentage (%) |
0-25 |
Excellent |
00 |
0.00% |
26-50 |
Good |
01 |
2.78% |
51-75 |
Poor |
01 |
2.78% |
76-100 |
Very poor |
05 |
13.89% |
Above 100 |
Unsuitable for drinking |
29 |
80.55% |
|
Total |
36 |
|
Weighted arithmetic mean of the quality rating (inversely proportion) using formula adopted by investigator
(Please refer Swarnalatha et al., 2007; Dwivedi & Pathak, 2007; Shankar & Balasubramanya, 2008; Suthar et al., 2010).
Table: 3 Sample and Area -wise Water Quality Index (WQI) of Ahmedabad City (For Actual Value Of Each Parameter Please refer Suthar et al., 2008-b).
Sample Number (S-1 to S-33) |
Area |
Sample Source |
WQI Calculated |
S-3 |
Amraiwadi |
Tubewell |
202 |
S-33 |
Amraiwadi |
Tubewell |
447 |
S-10 |
Bapunagar |
Tubewell |
48 |
S-13 |
Bapunagar |
Tubewell |
169 |
S-14 |
Bapunagar |
Municipality |
101 |
S-27 |
Bapunagar |
Municipality |
128 |
S-31 |
Bapunagar |
Municipality |
59 |
S-8 |
CTM |
Municipality |
155 |
S-12 |
CTM |
Tubewell |
314 |
S-35 |
CTM |
Tubewell |
88 |
S-25 |
Ellisbridge |
Tubewell |
93 |
S-36 |
Shah-e-alam |
Tubewell |
118 |
S-23 |
Ghodasar |
Municipality |
194 |
S-26 |
Ghodasar |
Municipality |
261 |
S-19 |
Hatkeshvar |
Municipality |
178 |
S-1 |
Isanpur |
Municipality |
109 |
S-15 |
Kankaria |
Municipality |
352 |
S-30 |
Kankaria |
Municipality |
550 |
S-6 |
Maninagar |
Municipality |
306 |
S-7 |
Maninagar |
Tubewell |
162 |
S-20 |
Maninagar |
Municipality |
95 |
S-32 |
Maninagar |
Tubewell |
111 |
S-2 |
Meganinagar |
Tubewell |
78 |
S-18 |
Narayan Nagar |
Municipality |
128 |
S-5 |
Naroda |
Municipality |
106 |
S-4 |
Narol |
Tubewell |
296 |
S-17 |
Narol |
Municipality |
136 |
S-34 |
Nikol |
Municipality |
94 |
S-9 |
Odhav |
Tubewell |
325 |
S-11 |
Odhav |
Tubewell |
380 |
S-16 |
Rakhial |
Municipality |
205 |
S-22 |
Rakhial |
Municipality |
110 |
S-21 |
Vastral |
Tubewell |
225 |
S-24 |
Vastral |
Municipality |
223 |
S-28 |
Vastral |
Tubewell |
451 |
S-29 |
Vastral |
Tubewell |
178 |
Table : 4 water quality index (WQI) as per sample source.
Source |
Total Number of Samples Studied and Used for Analysis |
Water Quality Index -WQI Value (Mean ± SEM) |
Minimum Value Recorded |
Maximum Value Recorded |
Municipality |
19 |
183.68 ± 27.049 NS |
59 |
550 |
Tubewell |
17 |
219.19 ± 32.420 NS |
48 |
451 |
Total |
36 |
199.31 ± 20.503 NS |
48 |
550 |
Bio-statistical Method Used: Student’s t-test; two-tailed; Unequal Variance;
SEM= Standard Error of Mean; NS= Not Significant.
IV. DISCUSSION
Water quality index is one of the most effective ways to communicate water quality information to the public and policy makers. A water quality index (WQI) may be defined as a rating reflecting the composite influence of a number of water quality parameters on the overall quality of water (Shankar & Balasubramanya, 2008). The numerical value of the water quality index implies that the water under consideration is fit for human consumption if its WQI is less than 100. Moreover, the larger the WQI value, the water is considered to be more polluted. In the present study, WQI values exceeded 100 in all samples collected. It is considered that the water samples studied were unfit for drinking purpose without suitable treatment. In the present study, the major factor for higher WQI values in most of the samples may be the higher due to calcium and magnesium hardnesses (Suthar et al., 2011; Suthar et al., 2013; Suthar et al., 2017; Suthar et al., 2022).
Water Quality Index (WQI) can be used to calculate and analyse on the bases on the number of physico-chemical parameters of drinking water studied and best analyzed on the basis of mathematical / statistical procedures.
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Copyright © 2024 Mihirkumar B. Suthar, Rakesh L. Pagi, Tejal M. Suthar, Dr. J. R. Prajapati. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Paper Id : IJRASET65978
Publish Date : 2024-12-17
ISSN : 2321-9653
Publisher Name : IJRASET
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