Assessing Seasonal Changes in Groundwater Quality in a South Indian Industrial Centre: A Geospatial Approach to Evaluate Drinking Water Safety and Health Risks
One of the largest industrial hubs in south India, Ranipet, has contaminated groundwater due to the discharge of waste from small-scale enterprises such as leather tanneries. This study collected groundwater samples throughout two distinct seasons in 2023 to assess the quality of 55 distinct open and tube wells for consumption and health risks. To determine if the groundwater samples were suitable for human consumption, we compared their physicochemical properties to worldwide drinking water standards (WHO). The majority of them were categorised as Ca-Cl and mixed Ca-Mg-Cl types by Piper’s trilinear diagram. The spatial distributions of various groundwater quality characteristics were displayed through the use of inverse distance weighted (IDW) spatial interpolation. Indicating that the majority of the samples obtained during the rainfall seasons (NE monsoon:82.8%; SW monsoon: 78.6%) were ‘rich’ for consumption were these criteria, which included the Water Quality Index (WQI). Nonetheless, 80–84.3% of the samples that were taken throughout the NE and SW monsoon rainfall seasons had “good” quality. By calculating the Hazard Quotient (HQ), we assessed the non-carcinogenic health concerns that adults and children might face from consuming the nitrate-rich groundwater. According to our findings, there was no evidence of a health risk for adults or children during either of the rainy seasons. During the rainy seasons, roughly 41–37% of the samples were harmful to children’s health, while 19–21% were potentially harmful to adults.
Aishwarya Lakshmi, A., Amalraj, S. and G. Venkatesan(2023). Granules as precursors in the working of upflow anaerobic sludge blanket reactor: A review on the impacts of granulation. Asian Journal of Water, Environment and Pollution, 20(4): 41-45.
Ahada, C.P.S. and S. Suthar (2017). Assessment of human health risk associated with high groundwater fluoride intake in southern districts of Punjab, India. Expo Health,10(4): 1-9. https://doi.org/10.1007/s12403-017-0268-4
Anand, B., Karunanidhi, D., Subramani, T., Srinivasamoorthy, K. and R.Y. Raneesh (2017). Prioritization of sub- watersheds based on quantitative morphometric analysis in lower Bhavani basin, Tamil Nadu, India using DEM and GIS techniques. Arab. J. Geosci., 10: 552.
Anand, B., Karunanidhi, D., Subramani, T., Srinivasamoorthy, K. and M. Suresh (2019). Long-term trend detection and spatiotemporal analysis of groundwater levels using GIS techniques in Lower Bhavani River Basin, Tamil Nadu India. Environ. Dev. Sustain., 22: 2779-2800. https://doi. org/10.1007/s10668-019-00318-3
Anandakumar, S., Subramani, T. and L. Elango (2008). Spatial variation and seasonal behavior of rainfall pattern in Lower Bhavani River basin, Tamil Nadu, India. Ecoscan, 2(1): 17-24.
Annapoorna, H. and M.R. Janardhanab (2015). Assessment of groundwater quality for drinking purpose in rural areas surrounding a defunct copper mine. Aquat. Procedia, 4(1): 1-22. https://doi.org/10.1016/j.aqpro.02.088.
Aravena, R., Evans, M.L. and J.A. Cherry (1993). Stable isotopes of oxygen and nitrogen in source identification of nitrate from septic systems. Ground Water, 31(2): 180- 186. https://doi.org/10.1111/j.1745-6584.1993.tb01809.x
Etier, I., Murugan, C.A., Kannan, N. and G. Venkatesan(2020). Measurement of secure power meter with smart IOT applications. Journal of Green Engineering, 10(12): 12961-12972.
Govindaraj, V., Sankar, J.I., Gnanamanickkam, J.N.G. and S. Amala (2022). Demarcation of non-carcinogenic risk zones based on the intake of contaminated groundwater in an industrial area of southern India using geospatial techniques. Desalination and Water Treatment, 274: 140-149.
Govindaraj, V., Murugan, K., Baskar, P. and J. Sathaiya(2023b). Treatment of dairy wastewater and sludge production using algae bio reactor. Asian Journal of Water, Environment and Pollution, 20(3): 77-83.
Govindaraj, V., Manoharan, K., Sakthivel, S., Guruchandran, K. and W. Mathew (2023a). A combined approach for the treatment of textile dye bath effluent using CO2 gas. Asian Journal of Water, Environment and Pollution, 20(2): 59-65.
Govindaraj, V., Manokaran, K., Sathaiya, J. and P. Baskar(2023c). Environmentally-friendly bio-coagulants: A cost- effective solution for groundwater pollution treatment. Asian Journal of Water, Environment and Pollution,20(3): 19-28.
Kalpana, M., Venkatesan, G. and S. Padma (2024). Analysing the effectiveness of municipal wastewater sludge, bagasse ash, rice husk ash and plastic waste powder for manufacturing bricks. Asian Journal of Water, Environment and Pollution, 21(1): 71-79.
Karunanidhi, D., Aravinthasamy, P., Subramani, T., Wu, J. and K. Srinivasamoorthy (2019). Potential health risk assessment for fluoride and nitrate contamination in hard rock aquifers of Shanmuganadhi River basin, South India. Hum. Ecol. Risk Assess. Int. J., 25(1-2): 250-270. https:// doi.org/10.1080/10807039.2019.1568859.
Karunanidhi, D., Aravinthasamy, P., Kumar, D., Subramani, T. and P.D. Roy (2020). Sobol sensitivity approach for the appraisal of geomedical health risks associated with oral intake and dermal pathways of groundwater fluoride in a semi-arid region of south India. Ecotoxicol. Environ. Saf., 194: 110438. https://doi.org/10.1016/j.ecoenv. 2020.110438
Kavitha, S., Kanchana, K. and G. Venkatesan (2023). Long range (LoRa) and alert network system for forest fire prediction. Asian Journal of Water, Environment and Pollution, 20(6): 61-66.
Latha, A., Ganesan, R., Venkatesan, G. and P. Baraneedharan(2023). Removal of toxic heavy metal ion from tannery effluent by using Fusarium subglutinans and Hylocereus undatus. Desalination and Water Treatment, 312: 70-78.
Li, P. and H. Qian (2011). Human health risk assessment for chemical pollutants in drinking water source in Shizuishan City, Northwest China. Iran. J. Environ. Health Sci. Eng.,8(1): 41-48.
Manivannan, H., Anguraj, B.L. and G. Venkatesan (2023). Hydrolysis of fruit waste to reduce sugars using sulphonated magnetic carbonaceous catalyst. Asian Journal of Water, Environment and Pollution, 20(6): 45-51.
Tallapragada, V.V.S., Venkatesan, G., Manisha, G., Sivakumar, N., Kumar, A. and J. Karthika (2024). Multispectral image processing using ML-based classification approaches in satellite images. In: Artificial Intelligence, Blockchain, Computing and Security - Proceedings of the International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023, 1: 734-738.
Tallapragada, V.V.S., Chaudhary, S., Glory, J.S., Venkatesan, G., ...Maheswari, Kumar, B.U. and E. Rajesh (2024). Deep learning based approach for rice prediction from authenticated block chain mode. In: Artificial Intelligence, Blockchain, Computing and Security - Proceedings of the International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023, 1: 550-556.
Venkatesan, G. and T. Subramani (2022a). Groundwater potential mapping and natural remediation through artificial recharge structures in Vellore District, Tamil Nadu, India using geospatial techniques. Desalination and Water Treatment, 254: 229-237. doi: 10.5004/ dwt.2022.28351
Venkatesan, G., Arul Murugan, C., Isac, S.J. and N. Gladson(2022b). Experimental investigation on load carrying capacity of hollow and composite pile materials in layered soil. Materials Today: Proceedings, 65(9): 3951-3958.
Venkatesan, G., Kuberan, M., Jegadeesh, S. and B.V. Praveen(2023). Carbon capture and storage with ionic liquids; Industrial flue gas trapping in calcination process. Asian Journal of Water, Environment and Pollution, 20(2): 85-91. doi: 10:3233/AJW230028