Authors :
Rishabh Kumar; Jay Singh Rajput; A.K Saxena
Volume/Issue :
Volume 9 - 2024, Issue 5 - May
Google Scholar :
https://tinyurl.com/3u3xhsax
Scribd :
https://tinyurl.com/35uteb55
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24MAY1308
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Water is a natural resource used for drinking,
agriculture, and industry. Being a vital source of life for
living beings, its quality needs to be assessed regularly
and the environmental health of water resources should
be maintained accordingly. This study assessed the water
quality of Tighra reservoir, which is the primary source
of water supply in Gwalior, M.P. For this task, the water
sampling was carried out during Jun-Sep, 2023. Total 32
samples were collected to cover pre & post monsoon and
monsoon season. Subsequently, the water quality
parameters such as pH, Turbidity, Acidity, Alkalinity,
Chloride, Hardness, Total solids (TS), Total dissolved
solids (TDS), Total suspended solids (TSS), Dissolved
solid (DS), Iron (Fe), MPN were determined to assess
weighted arithmetic water quality index (WA-WQI).
Consequently, the WQI ranges from 15.91 to 121.76
respectively. Furthermore, poor water quality was
observed at SS7 followed by SS6, and SS5. However, good
quality of water was observed at SS1 followed by SS2,
SS3, and SS8. The seasonal distribution of WQI reveals
that June (19.38-121.75) with SS7 and SS6 have poor
water quality, July (16.74-66.87) with SS5, SS6, and SS7
have poor water quality, August (38.08-79.28) with SS4,
SS5, SS6, and SS7 have poor water quality, September
(15.91-101.11) with SS4, SS5, SS6, and SS7 have poor
water quality. The aforementioned findings will surely
help to local authorities to take suitable action for the
upgradation water quality of Tighra reservoir.
Keywords :
WA-WQI, Seasonal-Variance, Water Quality.
References :
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- Assessment of Spring Water Quality Using Water Quality Indices and Multivariate Statistical Techniques in Pithoragarh, Uttarakhand. Journal of The Institution of Engineers (India): Series A, 104(2), 301–316. https://doi.org/10.1007/s40030-023-00709-w
- Saha, A., Ramya, V. L., Jesna, P. K., Mol, S. S., Panikkar, P., Vijaykumar, M. E., Sarkar, U. K., & Das, B. K. (2021). Evaluation of Spatio-temporal Changes in Surface Water Quality and Their Suitability for Designated Uses, Mettur Reservoir, India. Natural Resources Research, 30(2), 1367–1394.https://doi.org/10.1007/s11053-020-09790-5
- Gupta, P., Keesari, T., & Kamaraj, P. (n.d.). Assessment of biannual seasonal variations in hydrochemistry of Kerwa reservoir located in hard rock formations of Central India. https://doi.org/10.1007/s12517-020-06346-
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- Saleem, M., Iqbal, J., & Shah, M. H. (2019). Seasonal variations, risk assessment and multivariate analysis of trace metals in the freshwater reservoirs of Pakistan. Chemosphere, 216, 715–724. https://doi.org/10.1016/j.chemosphere.2018.10.173
- Ling, T. Y., Gerunsin, N., Soo, C. L., Nyanti, L., Sim, S. F., & Grinang, J. (2017). Seasonal changes and spatial variation in water quality of a large young tropical reservoir and its downstream river. Journal of Chemistry, 2017. https://doi.org/10.1155/2017/8153246
- Bhat, S. A., Meraj, G., Yaseen, S., & Pandit, A. K. (2014). Statistical Assessment of Water Quality Parameters for Pollution Source Identification in Sukhnag Stream: An Inflow Stream of Lake Wular (Ramsar Site), Kashmir Himalaya. Journal of Ecosystems, 2014, 1–18. https://doi.org/10.1155/2014/898054
- Varol, M., Gökot, B., Bekleyen, A., & Şen, B. (2012). Spatial and temporal variations in surface water quality of the dam reservoirs in the Tigris River basin, Turkey. Catena, 92, 11–21. https://doi.org/10.1016/j.catena.2011.11.013
- Sangpal, R. R., Kulkarni, U. D., & Nandurkar, Y. M. (2011). ARPN Journal of Agricultural and Biological Science. 6(3). www.arpnjournals.com
- Kothari, V., Vij, S., Sharma, S. K., & Gupta, N. (2021). Correlation of various water quality parameters and water quality index of districts of Uttarakhand. Environmental and Sustainability Indicators, 9. https://doi.org/10.1016/j.indic.2020.100093
- Patel, D. D., Mehta, D. J., Azamathulla, H. M., Shaikh, M. M., Jha, S., & Rathnayake, U. (2023). Application of the Weighted Arithmetic Water Quality Index in Assessing Groundwater Quality: A Case Study of the South Gujarat Region. Water (Switzerland), 15(19). https://doi.org/10.3390/w15193512
- Şener, Ş., Şener, E., & Davraz, A. (2017). Evaluation of water quality using water quality index (WQI) method and GIS in Aksu River (SW-Turkey). Science of the Total Environment, 584–585, 131–144. https://doi.org/10.1016/j.scitotenv.2017.01.102
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- Panikkar, P., Saha, A., Prusty, A. K., Sarkar, U. K., & Das, B. K. (2022). Assessing hydrogeochemistry, water quality index (WQI), and seasonal pattern of plankton community in different small and medium reservoirs of Karnataka, India. Arabian Journal of Geosciences, 15(1).https://doi.org/10.1007/s12517-021-09291-6.
Water is a natural resource used for drinking,
agriculture, and industry. Being a vital source of life for
living beings, its quality needs to be assessed regularly
and the environmental health of water resources should
be maintained accordingly. This study assessed the water
quality of Tighra reservoir, which is the primary source
of water supply in Gwalior, M.P. For this task, the water
sampling was carried out during Jun-Sep, 2023. Total 32
samples were collected to cover pre & post monsoon and
monsoon season. Subsequently, the water quality
parameters such as pH, Turbidity, Acidity, Alkalinity,
Chloride, Hardness, Total solids (TS), Total dissolved
solids (TDS), Total suspended solids (TSS), Dissolved
solid (DS), Iron (Fe), MPN were determined to assess
weighted arithmetic water quality index (WA-WQI).
Consequently, the WQI ranges from 15.91 to 121.76
respectively. Furthermore, poor water quality was
observed at SS7 followed by SS6, and SS5. However, good
quality of water was observed at SS1 followed by SS2,
SS3, and SS8. The seasonal distribution of WQI reveals
that June (19.38-121.75) with SS7 and SS6 have poor
water quality, July (16.74-66.87) with SS5, SS6, and SS7
have poor water quality, August (38.08-79.28) with SS4,
SS5, SS6, and SS7 have poor water quality, September
(15.91-101.11) with SS4, SS5, SS6, and SS7 have poor
water quality. The aforementioned findings will surely
help to local authorities to take suitable action for the
upgradation water quality of Tighra reservoir.
Keywords :
WA-WQI, Seasonal-Variance, Water Quality.