Contamination of water is a big concern that is now existing not just in India but also all around the world. In the city of Bhilwara, which is located in India, there is a lack of well-organized drainage and sewer infrastructure, as well as poor management of solid waste. The quality of the water is decreasing as a result of the discharge of these contaminants into the Banas River, which is located nearby, through a variety of different channels. Therefore, the purpose of this study is to evaluate the existing groundwater quality in Bhilwara city by utilizing hadrochemical, multivariate statistical, and Water Quality Index (WQI) status. According to the conclusions of the study, the amount of potable water that is available in this little community is gradually decreasing. The water quality index (WQI) of the source, which can range anywhere from 62 to 74, reveals that the quality of the groundwater is deteriorating on a daily basis. There should be a comprehensive management strategy that includes monitoring cells, according to the findings of this study, in order to protect the water environment in the Bhilwara region.
Published in | Modern Chemistry (Volume 13, Issue 1) |
DOI | 10.11648/j.mc.20251301.11 |
Page(s) | 1-8 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Contamination, Groundwater, Physicochemical, Water Quality Index, Correlation
S. No. | Parameters | Unit | Method Employed |
---|---|---|---|
1 | pH | Digital pH meter | |
2 | EC | µmhos/cm | Digital Conductivity Meter |
3 | Total Alkalinity | Mg/L | Titrimetric method (With HCl) |
4 | Total Hardness | Mg/L | Titrimetric method (with EDTA) |
5 | Sulphate | Mg/L | Spectrophotometric method |
6 | Nitrate | Mg/L | Spectrophotometric method |
7 | Fluoride | Mg/L | Digital Pen Fluoride Meter |
8 | TDS | Mg/L | Digital TDS-meter |
9 | Na | Mg/L | Flam photometry |
10 | K | Mg/L | Flam photometry |
Parameters | 2021 | 2022 | 2023 | WHO limit |
---|---|---|---|---|
pH | 7.5 | 7.6 | 7.9 | 6.5 - 8.5 |
EC | 1380 | 1640 | 1350 | 1400 |
Total Alkalinity | 323 | 228 | 140 | 600 |
Total Hardness | 360 | 216 | 190 | 600 |
Sulphate | 253 | 210 | 95 | 150 |
Nitrate | 2.62 | 3.2 | 2.4 | 45 |
Fluoride | 0.86 | 0.92 | 1.1 | 1.5 |
Total Dissolved Solid | 1120 | 1226 | 894 | 500 |
Na | 329 | 124 | 152 | 50 |
K | 2.6 | 3.5 | 7.6 | 200 |
Anova: Single Factor | ||||
---|---|---|---|---|
SUMMARY | ||||
Groups | Count | Sum | Average | Variance |
7.5 | 9 | 3771.08 | 419.0089 | 248109.7 |
7.6 | 9 | 3651.62 | 405.7356 | 358652.9 |
7.9 | 9 | 2832.1 | 314.6778 | 227303.8 |
6.5 - 8.5 | 9 | 3546.5 | 394.0556 | 199938.7 |
ANOVA | ||||||
---|---|---|---|---|---|---|
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 59428.36 | 3 | 19809.45 | 0.076632 | 0.972162 | 2.90112 |
Within Groups | 8272041 | 32 | 258501.3 | |||
Total | 8331469 | 35 |
Parameters | WHO limit (Sn) | 1/Sn | K= 1/∑1/Sn∑1/Sn | Wn=K/Sn | 2021 Reading (Vn) | Vn/Sn | Qn= Vn/Sn*100 | WnQn |
---|---|---|---|---|---|---|---|---|
pH | 8.5 | 0.117647 | 1.184482942 | 0.13935093 | 7.5 | 0.3333 | 33.33 | 4.644567 |
EC | 1400 | 0.000714 | 1.184482942 | 0.00084606 | 1380 | 0.985714 | 98.57142857 | 0.083397 |
Total Alkalinity | 600 | 0.001667 | 1.184482942 | 0.00197414 | 323 | 0.538333 | 53.83333333 | 0.106274 |
Total Hardness | 600 | 0.001667 | 1.184482942 | 0.00197414 | 360 | 0.6 | 60 | 0.118448 |
Sulphate | 150 | 0.006667 | 1.184482942 | 0.00789655 | 253 | 1.686667 | 168.6666667 | 1.331885 |
Nitrate | 45 | 0.022222 | 1.184482942 | 0.02632184 | 2.62 | 0.058222 | 5.822222222 | 0.153252 |
Fluoride | 1.5 | 0.666667 | 1.184482942 | 0.78965529 | 0.86 | 0.573333 | 57.33333333 | 45.27357 |
Total Dissolved Solid | 500 | 0.002 | 1.184482942 | 0.00236897 | 1120 | 2.24 | 224 | 0.530648 |
Na | 50 | 0.02 | 1.184482942 | 0.02368966 | 329 | 6.58 | 658 | 15.5878 |
K | 200 | 0.005 | 1.184482942 | 0.00592241 | 2.6 | 0.013 | 1.3 | 0.007699 |
0.84425 | 1 | 67.83754 |
Parameters | WHO limit (Sn) | 1/Sn | K= 1/∑1/Sn∑1/Sn | Wn= K/Sn | 2022 Reading (Vn) | Vn/Sn | Qn= Vn/Sn*100 | WnQn |
---|---|---|---|---|---|---|---|---|
pH | 8.5 | 0.117647 | 1.184482942 | 0.13935093 | 7.6 | 0.4 | 40 | 5.5740 |
EC | 1400 | 0.000714 | 1.184482942 | 0.00084606 | 1640 | 1.1714 | 117.1428 | 0.09910 |
Total Alkalinity | 600 | 0.001667 | 1.184482942 | 0.00197414 | 228 | 0.38 | 38 | 0.07501 |
Total Hardness | 600 | 0.001667 | 1.184482942 | 0.00197414 | 216 | 0.36 | 36 | 0.07106 |
Sulphate | 150 | 0.006667 | 1.184482942 | 0.00789655 | 210 | 1.4 | 140 | 1.1055 |
Nitrate | 45 | 0.022222 | 1.184482942 | 0.02632184 | 3.2 | 0.07111 | 7.1111 | 0.1871 |
Fluoride | 1.5 | 0.666667 | 1.184482942 | 0.78965529 | 0.92 | 0.61333 | 61.33333 | 48.4321 |
Total Dissolved Solid | 500 | 0.002 | 1.184482942 | 0.00236897 | 1226 | 2.452 | 245.2 | 0.58750 |
Na | 50 | 0.02 | 1.184482942 | 0.02368966 | 124 | 2.48 | 248 | 5.8750 |
K | 200 | 0.005 | 1.184482942 | 0.00592241 | 3.5 | 0.0175 | 1.75 | 0.01036 |
0.84425 | 1 | 62.0103 |
Parameters | WHO limit (Sn) | 1/Sn | K= 1/∑1/Sn∑1/Sn | Wn= K/Sn | 2023 Reading (Vn) | Vn/Sn | Qn= Vn/Sn*100 | WnQn |
---|---|---|---|---|---|---|---|---|
pH | 8.5 | 0.117647 | 1.184482942 | 0.13935093 | 7.9 | 0.6 | 60 | 8.36105 |
EC | 1400 | 0.000714 | 1.184482942 | 0.00084606 | 1350 | 0.9642 | 96.4285 | 0.081584 |
Total Alkalinity | 600 | 0.001667 | 1.184482942 | 0.00197414 | 140 | 0.23333 | 23.3333 | 0.046063 |
Total Hardness | 600 | 0.001667 | 1.184482942 | 0.00197414 | 190 | 0.31666 | 31.6666 | 0.063514 |
Sulphate | 150 | 0.006667 | 1.184482942 | 0.00789655 | 95 | 0.63333 | 63.3333 | 0.50015 |
Nitrate | 45 | 0.022222 | 1.184482942 | 0.02632184 | 2.4 | 0.05333 | 5.3333 | 0.14038 |
Fluoride | 1.5 | 0.666667 | 1.184482942 | 0.78965529 | 1.1 | 0.73333 | 73.3333 | 57.9080 |
Total Dissolved Solid | 500 | 0.002 | 1.184482942 | 0.00236897 | 894 | 1.788 | 178.8 | 0.4235 |
Na | 50 | 0.02 | 1.184482942 | 0.02368966 | 152 | 3.04 | 304 | 7.2016 |
K | 200 | 0.005 | 1.184482942 | 0.00592241 | 7.6 | 0.038 | 3.8 | 0.0225 |
0.84425 | 1 | 74.7475 |
Column1 | pH | EC | Total Alkalinity | Total Hardness | Sulphate | Nitrate | Fluoride | Total Dissolved Solid | Na | K |
---|---|---|---|---|---|---|---|---|---|---|
pH | 1 | |||||||||
EC | -0.36649 | 1 | ||||||||
Total Alkalinity | -0.95441 | 0.072053 | 1 | |||||||
Total Hardness | -0.78865 | -0.28303 | 0.936223661 | 1 | ||||||
Sulphate | -0.94154 | 0.031614 | 0.999180169 | 0.94968254 | 1 | |||||
Nitrate | -0.52307 | 0.984689 | 0.244816158 | -0.111508597 | 0.205363 | 1 | ||||
Fluoride | 1 | -0.36649 | -0.954411087 | -0.788649573 | -0.9415442 | -0.52307 | 1 | |||
Total Dissolved Solid | -0.84702 | 0.804994 | 0.649743022 | 0.341183131 | 0.6184359 | 0.89609 | -0.847024 | 1 | ||
Na | -0.5971 | -0.52752 | 0.809322282 | 0.964109426 | 0.8324379 | -0.37136 | -0.5971 | 0.079363817 | 1 | |
K | 0.997343 | -0.43329 | -0.93013186 | -0.741766618 | -0.9145024 | -0.58376 | 0.9973433 | -0.883494754 | -0.53708 | 1 |
TA | Total Alkalinity |
TDS | Total Dissolve Solids |
EC | Electric Conductivity |
WQI | Water Quality Index |
[1] | Du Plessis, A. (2019). Current and Future Water Scarcity and Stress. In: Water as an Inescapable Risk. Springer Water. Springer, Cham. |
[2] | Bichai, F., & Ashbolt, N. (2017). Public health and water quality management in low-exposure stormwater schemes: A critical review of regulatory frameworks and path forward. Sustainable cities and society, 28, 453-465. |
[3] | Oh, S., Gramig, B. M. (2023) Valuing Ecosystem Services and Downstream Water Quality Improvement in the U.S. Corn Belt. Environ Resource Econ. |
[4] | Cazcarro, I., Villamayor-Tomas, S., Lobera, M. P. et al. (2023). Networks of action situations in point-source pollution: the case of winery wastewater in Aragon, Spain. Sustain Sci 18, 201–218. |
[5] | Irwan, D., Ali, M., Ahmed, A. N. et al. (2023). Predicting Water Quality with Artificial Intelligence: A Review of Methods and Applications. Arch Computat Methods Eng. |
[6] | Bar, A. R., Mondal, I., Das, S. et al. (2023). Mapping of tide-dominated Hooghly estuary water quality parameters using Sentinel-3 OLCI time-series data. Environ Monit Assess 195, 975. |
[7] | Benameur, T., Benameur, N., Saidi, N. et al. (2022). Predicting factors of public awareness and perception about the quality, safety of drinking water, and pollution incidents. Environ Monit Assess 194, 22. |
[8] | omatis, M., Petriglieri, J. R., Turci, F. (2023). Waste, Environment, and Sanitary Issues: Are They Really at Odds. In: Tribaudino, M., Vollprecht, D., Pavese, A. (eds) Minerals and Waste. Earth and Environmental Sciences Library. Springer, Cham. |
[9] | Sen, P., Mehta, R. & Mehta, P. (2022). Water quality assessment of Banas River, eastern-south region of Rajasthan, using water quality index. Proc. Indian Natl. Sci. Acad. |
[10] | Abdul Maulud, K., Fitri, A., Wan Mohtar, W. et al. (2021). A study of spatial and water quality index during dry and rainy seasons at Kelantan River Basin, Peninsular Malaysia. Arab J Geosci 14, 85. |
[11] | Rajput, R. S., Pandey, S., & Bhadauria, S. (2017). Status of water pollution in relation to industrialization in Rajasthan. Reviews on environmental health, 32(3), 245-252. |
[12] | Mathur, S. (2004). The everyday life of Hindu nationalism: An ethnographic account, 1990–1994. New School University. |
[13] | Dagar, J. C. (2018). Perspectives of vegetation ecology and biodiversity for management of ravine lands. In Ravine lands: greening for livelihood and environmental security (pp. 69-118). Springer, Singapore. |
[14] | Sen, P., Mehta R., (2020). Wastewater treatment of Sangam university with the help of natural filter. Journal of applied geochemistry, 22(4) 350-352. |
[15] | Pattnaik, P., Dangayach, G. S., & Bhardwaj, A. K. (2018). A review on the sustainability of textile industries wastewater with and without treatment methodologies. Reviews on Environmental Health, 33(2), 163-203. |
[16] | Narain, P., Khan, M. A., & Singh, G. (2006). Potental for water conservation and havesting against drought in Rajasthan (Vol. 104). IWMI. |
[17] | Rivera-ferre, M. G., Di Masso, M., Vara, I., Cuellar, M., López-i-Gelats, F., Bhatta, G. D., & Gallar, D. (2021). Traditional agricultural knowledge in land management: the potential contributions of ethnographic research to climate change adaptation in India, Bangladesh, Nepal, and Pakistan. Climate and Development, 13(7), 644-661. |
[18] | Rao, G. G., Chinchmalatpure, A. R., Arora, S., Khandelwal, M. K., & Sharma, D. K. (2013). Coastal saline soils of Gujarat: problems and their management. |
[19] | Keesari, T., Pant, D., Roy, A., Sinha, U. K., Jaryal, A., Singh, M., & Jain, S. K. (2021). Fluoride geochemistry and exposure risk through groundwater sources in northeastern parts of Rajasthan, India. Archives of environmental contamination and toxicology, 80(1), 294-307. |
[20] | Weinberg, H. S., Singer, P. C., & Cook, S. J. (2002). Assessment of trace elements concentrations in municipal wastewater treatment plant discharges in North Carolina. Water Resources Research Institute of the University of North Carolina. |
[21] | Patni, K., Pande, C., Pande, A. P. et al. Seasonal variation of uranium and physico-chemical parameters in spring water sources of Pithoragarh city, Uttarakhand, India. J Radioanal Nucl Chem 329, 647–660 (2021). |
[22] | Sen, P., Mehta. R, Mehta, P., (2021). Changes in groundwater quality of textile city Bhilwara after covid-19 lockdown. Journal of applied geochemistry, vol 23(3). 214-218. |
[23] | Bhutiani, R., Khanna, D. R., Kulkarni, D. B. et al. (2016). Assessment of Ganga River ecosystem at Haridwar, Uttarakhand, India with reference to water quality indices. Appl Water Sci 6, 107–113 |
APA Style
Singh, M. K., Sen, P., Dadheech, S., Mehta, R., Mehta, P. (2025). The Analysis of Water Quality Index with Study of the Effect of Textile Effluents on the Groundwater of Bhilwara City. Modern Chemistry, 13(1), 1-8. https://doi.org/10.11648/j.mc.20251301.11
ACS Style
Singh, M. K.; Sen, P.; Dadheech, S.; Mehta, R.; Mehta, P. The Analysis of Water Quality Index with Study of the Effect of Textile Effluents on the Groundwater of Bhilwara City. Mod. Chem. 2025, 13(1), 1-8. doi: 10.11648/j.mc.20251301.11
@article{10.11648/j.mc.20251301.11, author = {Mahesh Kumar Singh and Pankaj Sen and Shweta Dadheech and Rajeev Mehta and Preeti Mehta}, title = {The Analysis of Water Quality Index with Study of the Effect of Textile Effluents on the Groundwater of Bhilwara City }, journal = {Modern Chemistry}, volume = {13}, number = {1}, pages = {1-8}, doi = {10.11648/j.mc.20251301.11}, url = {https://doi.org/10.11648/j.mc.20251301.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mc.20251301.11}, abstract = {Contamination of water is a big concern that is now existing not just in India but also all around the world. In the city of Bhilwara, which is located in India, there is a lack of well-organized drainage and sewer infrastructure, as well as poor management of solid waste. The quality of the water is decreasing as a result of the discharge of these contaminants into the Banas River, which is located nearby, through a variety of different channels. Therefore, the purpose of this study is to evaluate the existing groundwater quality in Bhilwara city by utilizing hadrochemical, multivariate statistical, and Water Quality Index (WQI) status. According to the conclusions of the study, the amount of potable water that is available in this little community is gradually decreasing. The water quality index (WQI) of the source, which can range anywhere from 62 to 74, reveals that the quality of the groundwater is deteriorating on a daily basis. There should be a comprehensive management strategy that includes monitoring cells, according to the findings of this study, in order to protect the water environment in the Bhilwara region. }, year = {2025} }
TY - JOUR T1 - The Analysis of Water Quality Index with Study of the Effect of Textile Effluents on the Groundwater of Bhilwara City AU - Mahesh Kumar Singh AU - Pankaj Sen AU - Shweta Dadheech AU - Rajeev Mehta AU - Preeti Mehta Y1 - 2025/03/18 PY - 2025 N1 - https://doi.org/10.11648/j.mc.20251301.11 DO - 10.11648/j.mc.20251301.11 T2 - Modern Chemistry JF - Modern Chemistry JO - Modern Chemistry SP - 1 EP - 8 PB - Science Publishing Group SN - 2329-180X UR - https://doi.org/10.11648/j.mc.20251301.11 AB - Contamination of water is a big concern that is now existing not just in India but also all around the world. In the city of Bhilwara, which is located in India, there is a lack of well-organized drainage and sewer infrastructure, as well as poor management of solid waste. The quality of the water is decreasing as a result of the discharge of these contaminants into the Banas River, which is located nearby, through a variety of different channels. Therefore, the purpose of this study is to evaluate the existing groundwater quality in Bhilwara city by utilizing hadrochemical, multivariate statistical, and Water Quality Index (WQI) status. According to the conclusions of the study, the amount of potable water that is available in this little community is gradually decreasing. The water quality index (WQI) of the source, which can range anywhere from 62 to 74, reveals that the quality of the groundwater is deteriorating on a daily basis. There should be a comprehensive management strategy that includes monitoring cells, according to the findings of this study, in order to protect the water environment in the Bhilwara region. VL - 13 IS - 1 ER -