Physico-chemical evaluation of water Quality parameters of Chambal

River in Kota, Rajasthan, India

 

Rajeev K Chauhan1, R C Chhipa2, Anil K Bansal3, D K Sharma4, Y K Gupta5*

1Research Scholar, Department of Chemistry, Suresh Gyan Vihar University, Jaipur, Rajasthan.

2Department of Chemistry, Suresh Gyan Vihar University, Jaipur, Rajasthan.

3Department of Chemistry, Agrawal P G College Jaipur, Rajasthan.

4Regional Director, Department of Science and Technology Vardhman Mahaveer Open University [VMOU] Kota, Rajasthan

5Head Department of Chemistry, B K Birla Institute of Engineering and Technology, Pilani, Rajasthan

*Corresponding Author E-mail: ykgbkbiet@rediffmail.com, ykgbkbiet123@gmail.com)

 

ABSTRACT:

Water is a fundamental unit of every person and it is basic for every single living structure and the earth wellbeing. Rivers are basic for all living life form on the earth. The current examination was led to assess water quality status of Chambal River subsequent to intersection the urban zone of Kota. The physico-chemical parameter as Temperature, pH, Dissolved Oxygen (DO), Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Hardness, Calcium Hardness, Magnesium hardness and Chloride and so on were utilized to analyse the contamination index of river Chambal at selected sites in district Kota Rajasthan statistical analysis was also be carried out for the probability of difference between populations.

 

KEYWORDS: Water, Chambal River, pollution index, statistical analysis.

 

 


INTRODUCTION:

Water is an essential component of life. It is a unique liquid in the sense that without it no life is possible. River water forms a major source of drinking water and irrigation. The modern civilization, industrialisation, urbanisation and increase in population have lead to fast degradation of our surface water quality. This contaminated surface water will have negative impact on ground water and as water is the most important component of our ecosystem, any imbalance created in it due to the presence of various contaminants can have an adverse effect on the entire eco-system. River Chambal plays a major role in integrating and organizing the landscape, and moulding the ecological setting of a basin. They are the prime factors controlling the global water cycle and in the hydrologic cycle, they are the most dynamic agents of transport.

 

Chhipa1 et al (2019) Reported that Physico-chemical Analysis of water of Chambal River in Kota district is pollution free and contemplated drinking water characteristics at different physical, synthetic and bacteriological water properties parameters likes pH, EC TDS, DO, alkalinity, all out hardness, chloride, fluoride, nitrate and coli form MPN at the customers end in 10 chose local locations.

 

Bansal2 et al (2018) Reported the Microbiological assessment of various Point of Chambal River in Kota district. Industrial and municipal wastes are been continuously added to water bodies hence affect the physiochemical quality of water making them unfit for use of livestock and other organisms.

 

Gupta3 et al (2017) have been accounted for high grouping of nitrate in ground water which was expanded with all out-hardness calcium and magnesium and diminished as the profundity of water table expanded in ground waters of Jhunjhunu locale.

 

R Jain4 et al (2016) contemplated the water quality of Chambal River in Kota district can be affected by different pollutants such as; physical, chemical and biological. The chemical hazards are Calcium, Magnesium, and Nitrate etc.

 

Gupta5 et al (2015) contemplated the Quality of water at Jhunjhunu locale a modern territory of down valley and saw that grouping of calcium, magnesium and phosphate were found over as far as possible in normal waters. The waterway and channel water affirmed the expanded contamination because of mechanical advancement. Since the investigation zone is mechanical locale subsequently a great deal of modern waste item is discharged in water sources. As we realize that the mechanical waste has numerous noxious metal particles which increment the degree of water parameters. The blending of business squanders from concoction enterprises, sewage and unmistakable waste and horticultural releases into the water sources increment the contamination level in water. This mechanical contamination in water is caused for diminishing the nature of physiochemical parameters present in water.

 

Hussain6 et al., 2011 reported that Chambal River is considered pollution free and hosts an amazing riverine faunal assemblage including two species of crocodilians; the Mugger and Gharial, 8 species of fresh water turtles, smooth-coated otters, genetic river dolphins, skimmers, black-bellied terns, Sarus cranes and black-necked storks, amongst others. In this paper, an attempt has been made to assess the water quality on physio-chemical to study the extent of pollution in river Chambal in Kota district.

 

Quadir7 et al. (2007) studied the Nullah Aik, atributary of the river Chenab.

 

Sileika8 et al. (2006) reported the variations in nutrient level in the Nemunas river of Russia.

In continuation of our previous study 9-20, in this paper, an attempt has been made to assess the water quality on physico-chemical to study the extent of pollution in river Chambal in Kota district.

 

Study Area:

The Kota District lies between 24025’ and 25051’ North latitudes and 75031’ and 77026’ East longitudes with total area of 5767.97 Sq Kms. The district Kota ends with boundaries of Sawai Madhopur, Bundi andTonk district in North West, Chittorgarh in West, Jhalawar in South and Baran in East. The temperature varies in between 60C – 480C; the average rain fall is about 880 mm and humidity annually ranges from 8 – 88%. We were collected water sample from major point of water contamination from various sources of pollutants.

 

Table: 1 Sample Collection Site

S. No.

Sample Site

Sample Code

1

Chambal Garden Site

CWS1

2

Railways station gate no 2

CWS2

3

Kota barrage gate 1

CWS3

4

Near bhadana

CWS4

5

Nayapura bridge

CWS5

6

Brijraj palace

CWS6

7

From baltia

CWS7

8

Ganwadi

CWS8

9

Kota barrage gate 2

CWS9

10

Chhoti samadh mandir

CWS10

 

Sampling procedure:

Water samples were collected for the present investigation from ten different experimental sites within a specific stretch of 5- 15 Kms of river Chambal in 2018-2019. The Samples were collected in screw capped Jerri-can (a polyethylene bottle) from midstream of the Chambal river. Sample bottles were thoroughly rinsed with distilled water for three times and then rinsed with river water before collecting samples. Caps of cans were closed tightly after filling up of can to avoid changes in physico-chemical characteristics. All respective water samples for testing were stored in a refrigerator at 40 C. The analysis of water samples was done according to the procedure prescribed by APHA 7, 8. The prescribed parameter were pH, Temperature, Turbidity, Total Dissolved solids, Total alkalinity, Total hardness, Chlorides, Nitrates, Sulphate, Fluoride, Dissolved Oxygen, Chemical Oxygen Demand, Biological Oxygen Demand.

 

RESULTS:

The physicochemical characteristics of water samples obtained from ten different sampling locations of Chambal River along Kota City, Kota during pre- monsoon and post monsoon season of years 2018-2019 are shown in Table-2 and Table-3 and statistical data was also calculated.


Table-2 The Physico-chemical parameters of water sample from different location of Kota district. (Pre Monsoon) 2018-2019

Parameter

Name of Samples

CWS 1

CWS 2

CWS 3

CWS 4

CWS 5

CWS 6

CWS 7

CWS 8

CWS 9

CWS 10

pH

7.2

7.6

7.4

7.2

7.6

7.5

7.6

7.2

7.5

7.2

Temp. (0C)

32

32

31

31

32

31

32

32

32

31

Conductivity (μS)

290

292

298

285

302

289

287

335

302

285

Turbidity (NTU)

7.8

8.5

6.3

7.5

7.6

6.5

6.6

5..6

7.8

6.5

TDS (mg/L)

598

600

589

581

579

588

599

555

589

586

T. Alkalinity (mg/L)

136

158

156

135

133

162

152

132

138

145

T. Hardness (mg/L)

136

158

156

135

133

162

152

132

138

145

Chloride (mg/L)

215

222

226

235

215

244

257

288

237

249

Nitrates (mg/L)

8.2

7.3

7.8

7.4

8.2

8.1

8.5

8.5

7.8

7.7

Sulphate (mg/L)

379

396

421

376

394

389

398

391

345

365

Fluoride (mg/L)

1.1

1.2

1.3

1.2

1.2

1.3

1.2

1.3

1.1

1.2

D O (mg/L)

6.3

6.5

5.4

5.8

6.8

5.9

5.8

5.9

6.4

5.9

C O D  (mg/L)

9.5

9.6

10.5

11.6

12.5

9.8

9.7

10.6

11.5

12.5

B O D  (mg/L)

2.4

2.7

3.4

3.2

2.9

3.7

4.1

3.6

2.9

3.6

 

Table-3 The Physico-chemical parameters of water sample from different location of Kota district. (Post Monsoon) 2018-2019

Parameter

Name of Samples

CWS 1

CWS 2

CWS 3

CWS 4

CWS 5

CWS 6

CWS 7

CWS 8

CWS 9

CWS 10

pH

7.2

7.1

6.95

7.6

7.8

7.4

7.2

7.3

6.09

7.98

Temp. (0C)

30

30

30

31

30

31

30

31

30

31

Conductivity (μS)

231

213

215

266

244

230

215

215

288

256

Turbidity (NTU)

4.5

3.8

4.9

5.7

4.8

5.2

4.3

3.9

4.8

6.4

TDS (mg/L)

554

590

543

575

565

572

545

565

574

577

T. Alkalinity (mg/L)

109

99

114

112

90

98

104

90

105

110

T. Hardness (mg/L)

110

110

98

115

131

125

115

117

110

109

Chloride (mg/L)

211

232

214

219

225

219

254

247

248

252

Nitrates (mg/L)

9.8

9.7

8.5

7.2

8.5

9.4

8.1

7.6

9.4

7.5

Sulphate (mg/L)

374

376

412

362

378

369

375

366

382

387

Fluoride (mg/L)

1.1

1.2

1.3

1.2

1.2

1.3

1.2

1.3

1.1

1.2

D O (mg/L)

4.5

5.6

4.5

4.7

4.6

6.5

5.4

4.8

5.9

4.5

C O D (mg/L)

6.5

6.6

6.9

8.1

6.6

6.5

5.6

6.9

5.9

6.8

B O D (mg/L)

1.8

2.1

2.6

2.4

3.5

2.4

2.6

2.8

2.1

2.9

 


DISCUSSION:

The physicochemical parameter of surface water samples were analyzed from ten sampling sites of river Chambal along Kota City during pre- monsoon and post monsoon season of years 2018-2019 are shown in Table-2 and Table-3. All the water samples were analyzed and found in acceptable limit of pH value. The average value of two years analysis was varied from 7.10 to 8.05. The permissible limit of pH value of drinking water is specified as 6.5 to 8.5. River water’s temperature was ranged from 290 C to 320 C. Electrical conductivity range varied from 278 μS to 336 μS. There is no significant changes were observed in temperature and conductivity which indicate that these parameters do not affect the quality of drinking water. Turbidity ranged from 5.1 to 7.2 NTU. Turbidity is due to organic matter decomposition in water and suspended matters such as clay also contribute to turbidity. Particles dispersed due to solid waste disposal also contribute to turbidity. Total Dissolved Solids were ranged from 152 to 188 mg/L showed hardness of some chemical dissolved in river during drainage. Total alkalinity in all the samples was varied from 100 to 136 mg/L showing the alkaline nature of river water. According to IS 10500 the maximum permissible limit of alkalinity for drinking water is 200 mg/L. Total hardness in present study was varied from 125 – 156 mg/L. Total hardness includes calcium and magnesium hardness which due to presence of high dissolved minerals. Chloride gives a salty taste and some times higher concentration causes laxative effect inhuman beings. The chloride concentration was ranged from 13.2 to 16.2 mg/L. The values observed are within the specified limit of 250 mg/L as per IS 10500. Concentration of Nitrate ion is very important indicator of drinking water because if it found 45 mg/L it causes blue babies (methemoglobinemia) in children. The value of nitrates in the present study was varied from 11.5 to 14.6 mg/L. Higher concentration of organic matter in water is caused increase level of nitrate content. The sulphate ion is one of the major anion found in water produce cathartic effect upon human beings when it is present in higher concentration. The value ranged from 13.5 to 17.8 mg/L. The increase concentration of sulphate content may be contributed due to bio chemical, anthropogenic sources and industrial process etc. In present study fluoride concentration was found within the specified limit and ranged from 0.11 to 0.22 mg/L. Dissolved oxygen in water samples was ranged from 5.6 to 7.8 mg/L. it has been observed that lower concentration of dissolved oxygen content indicate the mild pollution of river water due to organic waste. Chemical oxygen demand was varied from 8.8 to 25.2 mg/L. Higher values of COD at some location indicate that river water was polluted with chemically oxidisable inorganic and organic substances. Biological oxygen demand which is a indicator of bi-oxidisable organic substances was varied from 2.3 to 9.2 mg/L. Analyzed values indicate that Chambal river water at certain location is moderately contaminated by organic wastes.

 

Statistical Test (One Way t-test):

The Statistical Test (One Way t-test) of ten water sampling sites of river Chambal along Kota City during pre- monsoon and post monsoon season of years 2018-2019 are shown in Table-4 (Calculation of t-value for pH), Table-5 (Calculation of t-value for temperature), Table-6 (Calculation of t-value for conductivity, Table-7 (Calculation of t-value for Turbidity), Table-8 (Calculation of t-value for TDS), Table-9 (Calculation of t-value for Total Alkalinity) and Table-10 (Calculation of t-value for Total Hardness)

 

A t-test is an analysis of two populations means through the use of statistical examination; a t-test with two samples is commonly used with small sample sizes, testing the difference between the samples when the variance of two normal distributions are not known.

 

A t-test looks at the t-statistic, the t-distribution and degrees of freedom to determine the probability of difference between populations; the test statistic in the test is known as the t-statistic. To conduct a test with three or more variables, an analysis of variance (ANOVA) must be used.

 

A t-test was done to analysis two independent sets of samples of water i.e. Surface Water and Ground Water. This test was carried out to find if there is any significant difference between the two samples for different factors.

The significance level was fixed at p< 0.05.

The null hypothesis was set as HO: S1 ≠ S2, where S1 is the surface water and S2 is ground water.

 

The null hypothesis tends to be that there is no difference between the means of surface water sample and ground water sample.

 

The following Equation was used

t= value of t- test for a specific parameter for surface water and groundwater

X1 = mean value of the parameter (to be determined) for surface water

X2 ­= mean value of the parameter (to be determined) for ground water

n1 = number of samples of surface water

n2 = number of samples of ground water

S = combined standard deviation

 

Table 4 Calculation of t-value for pH

Samples

pH for Pre-Monsoon

pH for Post-Monsoon

X1

X1-X1= d1

(X1-X1)2=d12

X2

X2-X2= d2

(X2-X2)2=d22

CWS 1

7.2

0.23

0.052

7.2

-0.06

0.0036

CWS 2

7.6

-0.17

0.028

7.1

-0.16

0.0256

CWS 3

7.4

0.0.3

0.0009

6.9

0.31

0.0961

CWS 4

7.2

0.23

0.0009

6.9

0.31

0.0961

CWS 5

7.6

-0.17

0.028

7.8

0.54

0.2911

CWS 6

7.5

-0.07

0.0049

7.4

0.14

0.0196

CWS 7

7.6

-0.17

0.028

7.2

-0.6

0.0036

CWS 8

7.2

0.23

0.052

7.3

0.04

0.0016

CWS 9

7.5

-0.07

0.0049

6.1

-1.17

1.368

CWS 10

7.5

-0.07

0.0049

7.9

0.74

0.547

 

SX1 = 74.3

 

Sd12 = 0.255

SX2 = 72.62

 

Sd22 = 2.558

 

For pre-monsoon

SX1 = 74.3 Sd12 =0.225

For post-monsoon

SX2 = 72.6 Sd22 = 2.558

 

Calculation of combined standard deviation

 

 S = 0.509

Calculation of t-value

 

t = 0.75

 

The t-value is 0.75. Hence, the result is not significant

 

Table 5 Calculation of t-value for temperature

Samples

Temperature for Pre-Monsoon

Temperature for Post-Monsoon

X1

X1-X1= d1

(X1-X1)2=d12

X2

X2-X2= d2

(X2-X2)2=d22

CWS 1

32

0.04

0.16

30

-0.03

0.09

CWS 2

32

0.4

0.16

30

-0.3

0.09

CWS 3

31

-0.6

0.36

30

-0.3

0.09

CWS 4

31

-0.6

0.36

31

0.7

0.49

CWS 5

32

0.4

0.16

30

-0.3

0.09

CWS 6

31

-0.6

0.36

31

0.7

0.49

CWS 7

32

0.4

0.16

30

-0.3

0.09

CWS 8

32

0.4

0.16

31

0.7

0.49

CWS 9

32

0.4

0.16

30

-0.3

0.09

CWS 10

31

-0.6

0.36

30

-0.3

0.09

 

SX1 = 316

 

Sd12 = 2.4

SX2 = 303

 

Sd22 = 2.1

 

For pre-monsoon

SX1 = 316 Sd12 = 2.4

For post-monsoon

SX2 = 303 Sd22 = 2.1

 

Calculation of combined standard deviation

 

S = 0.5

Calculation of t-value

 

t = 5.79

 

The t-value is 5.79 hence, the result is significant.

 

 

Table 6 Calculation of t-value for conductivity

Samples

Conductivity for Pre-Monsoon

Conductivity for Post-Monsoon

X1

X1-X1= d1

(X1-X1)2=d12

X2

X2-X2= d2

(X2-X2)2=d22

CWS 1

290

-6.5

42.25

231

-6.3

39.63

CWS 2

298

-4.5

2.0.25

213

-24.3

590.49

CWS 3

298

1.5

2.25

215

-22.3

497.29

CWS 4

285

-11.5

132.25

266

28.7

823.69

CWS 5

302

5.5

30.25

244

6.7

44.89

CWS 6

289

-7.5

56.25

230

-7.3

53.29

CWS 7

287

-9.5

90.25

215

-22.3

497.29

CWS 8

303

6.5

42.25

215

-22.3

497.29

CWS 9

302

5.5

30.25

288

50.7

2570.49

CWS 10

285

-11.5

132.25

256

18.7

349.69

 

SX1 = 2965

 

Sd12 = 578.5

SX2 = 2373

 

Sd22 = 5964.1

 

For pre-monsoon

SX1 = 2965 Sd12 = 578.5

For post-monsoon

SX2 = 2373 Sd22 = 5964.1

 

Calculation of combined standard deviation

 

S = 19.06

 

Calculation of t-value

 

 t = 6.84

 

The t-value is 6.84 hence, the result is significant.

 

Table 7 Calculation of t-value for Turbidity

Samples

Turbidity for Pre-Monsoon

Turbidity for Post-Monsoon

X1

X1-X1= d1

(X1-X1)2=d12

X2

X2-X2= d2

(X2-X2)2=d22

CWS 1

7.8

1.43

2.04

4.5

-0.33

0.1089

CWS 2

8.5

2.13

4.53

3.8

-1.03

1.060

CWS 3

6.3

-0.07

0.0049

4.9

0.07

0.0049

CWS 4

7.5

1.13

1.27

5.7

0.87

0.756

CWS 5

7.6

-1.77

3.13

4.8

-0.03

0.0009

CWS 6

6.5

0.13

0.0169

5.2

0.37

0.136

CWS 7

2.6

-3.77

14.21

4.3

-0.53

0.280

CWS 8

5.6

-0.77

0.592

3.9

-0.93

0.864

CWS 9

7.8

1.43

2.04

4.8

-0.03

0.0009

CWS 10

6.5

0.13

0.0169

6.4

1.57

2.46

 

X1 = 63.7

 

d12 = 27.84

X2 = 48.3

 

d22 = 5.67

 

For pre-monsoon

SX1 = 63.7 Sd12 = 27.84

For post-monsoon

SX2 = 48.3 Sd22 = 5.67

Calculation of combined standard deviation

 

S = 1.36

 

Calculation of t-value

 

t = 2.52

 

The t-value is 2.52 hence, the result is significant.

 

Table 8 Calculation of t-value for TDS

Samples

TDS for Pre-Monsoon

TDS for Post-Monsoon

X1

X1-X1= d1

(X1-X1)2=d12

X2

X2-X2= d2

(X2-X2)2=d22

CWS 1

598

10.4

108.16

554

-12

144

CWS 2

600

12.4

153.76

590

24

576

CWS 3

589

1.4

1.96

543

-23

529

CWS 4

581

-6.6

43.56

575

9

81

CWS 5

589

1.4

1.96

565

-1

1

CWS 6

588

0.4

0.16

572

6

36

CWS 7

599

11.4

129.96

545

-21

441

CWS 8

555

-32.6

1062.76

565

-1

1

CWS 9

589

1.4

1.96

574

8

64

CWS 10

588

0.4

0.16

577

11

121

 

SX1 = 5876

 

Sd12 = 1502.44

SX2 = 5660

 

Sd22 = 1994

 

For pre-monsoon

SX1 = 5876 Sd12 = 1502.44

For post-monsoon

SX2 = 5660 Sd22 = 1994

Calculation of combined standard deviation

 

S = 13.93

Calculation of t-value

 

t = 3.45

 

The t-value is 3.45 hence, the result is significant.

 

Table 9 Calculation of t-value for Total Alkalinity

Samples

Total Alkalinity for Pre-Monsoon

Total Alkalinity for Post-Monsoon

X1

X1-X1= d1

(X1-X1)2=d12

X2

X2-X2= d2

(X2-X2)2=d22

CWS 1

136

-8.7

75.69

109

6.9

47.61

CWS 2

158

13.3

176.89

99

-3.1

9.61

CWS 3

156

11.3

127.69

114

11.9

141.61

CWS 4

135

-9.7

94.09

112

9.9

98.01

CWS 5

133

-9.7

94.09

112

9.9

98.01

CWS 6

162

17.3

299.29

98

-4.1

16.81

CWS 7

152

7.3

53.29

104

-1.9

3.61

CWS 8

132

-12.7

161.29

80

-22.2

492.84

CWS 9

138

-6.7

44.89

105

2.9

8.41

CWS 10

145

0.3

0.09

110

7.9

62.41

 

SX1 = 1447

 

Sd12 = 1170.1

SX2 = 1021

 

Sd22 = 1027.3

 

For pre-monsoon

SX1 = 1447 Sd12 = 1170.1

For post-monsoon

SX2 = 1021 Sd22 = 1027.3

Calculation of combined standard deviation

 

S = 11.04

Calculation of t-value

 

t = 8.60

 

The t-value is 8.60 hence, the result is significant.

 

Table 10 Calculation of t-value for Total Hardness

Samples

Total Hardness for Pre-Monsoon

Total Hardness for Post-Monsoon

X1

X1-X1= d1

(X1-X1)2=d12

X2

X2-X2= d2

(X2-X2)2=d22

CWS 1

177

14.1

198.81

110

-4

16

CWS 2

158

-4.9

24.01

110

-4

16

CWS 3

155

-7.9

62.41

98

-6

36

CWS 4

148

-14.9

222.01

115

1

1

CWS 5

159

-3.9

15.21

131

17

289

CWS 6

156

-6.9

47.61

125

11

121

CWS 7

178

15.1

228.01

115

1

1

CWS 8

158

-4.9

24.01

117

3

9

CWS 9

195

32.1

1030.41

110

-4

16

CWS 10

145

-17.9

320.41

109

-5

25

 

SX1 = 1629

 

Sd12 = 2172.99

SX2 = 1140

 

Sd22 = 530

 

For pre-monsoon

SX1 = 1629 Sd12 = 2172.99

For post-monsoon

SX2 = 1140 Sd22 = 530

Calculation of combined standard deviation

 

S = 12.25

Calculation of t-value

 

t = 8.90

The t-value is 8.90 hence, the result is significant.

 

CONCLUSION:

Water quality of Chambal is appropriate for drinking purposes after legitimate treatment process. The Physico-chemical parameters indicated that the contamination level has under the limits prescribed by BIS and WHO. The analyzed concentrations of different parameter indicated alarming situation of contamination if this situation persists consistently then it may create a problem to human life as well as biodiversity of River. In this manner we should check water quality each half year before monsoon and prepare plans to make the river water increasingly consumable for drinking purposes, irrigation and for healthy wild life.

 

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Received on 20.04.2020           Modified on 10.05.2020

Accepted on 18.06.2020         © RJPT All right reserved

Research J. Pharm. and Tech. 2020; 13(7): 3402-3408.

DOI: 10.5958/0974-360X.2020.00605.8