HYDROCHEMICAL CHARACTERISATION OF GROUNDWATER IN BHUBANESWAR CITY USING MULTIVARIATE STATISTICAL TECHNIQUES

Authors:

Ashok Kumar Tarai,Kshyana Prava Samal,Rabindra Nath Hota,

DOI NO:

https://doi.org/10.26782/jmcms.2026.09.00010

Keywords:

: Factor analysis,Bivariate correlation matrix,Groundwater contamination,Hierarchical cluster analysis,

Abstract

Bhubaneswar, the smart city of Odisha, is where water quality deterioration is a major concern due to the huge population growth and rural-to-urban migration. This study includes three types of land use patterns, such as high population density areas, industrial areas, and the vicinity of solid waste dumping sites. Five samples were collected from each category of vulnerable areas, totalling fifteen samples. Physico-chemical parameters such as pH, Electrical Conductivity (EC), DO, Hardness, Alkalinity, Cl-, TDS, F-, NO3-, SO42-, Fe2+, Ca²?, Mg²?, Na?, K? and HCO?? were tested for each sample. The concentration of iron is exceeding the permissible limit at 45% of the sample locations due to geogenic processes. Most of the parameter’s concentration is within the permissible limit as stated in IS:10500 (2012). Factor 1 of Principal Component Analysis (PCA) suggests positive loadings for Ca²? (0.962), total hardness (TH) (0.946), TDS (0.894), and HCO?? (0.876), indicating that this factor is predominantly associated with groundwater mineralisation and water–rock interaction. Factor 2 of PCA indicates strong positive loadings of Na? (0.952) and Cl? (0.952), inferring the influence of salinity-related processes and ion exchange. Factor 3 of PCA interprets strong positive loadings for NO?? (0.907) and SO?²? (0.813), inferring a possible influence of anthropogenic activities such as domestic wastewater and other surface-derived inputs. Factor 4 was dominated by Mg²? (0.866) and F? (0.716), suggesting geochemical interactions. Factor 5 shows strong positive loadings for K? (0.866) and pH (0.532. This component may reflect a relatively distinct influence of potassium-bearing minerals and anthropogenic sources, especially where potassium is associated with domestic inputs. Hierarchical cluster analysis (HCA) recommends classification of the physicochemical parameters into five groups at a phenon line at 0.65, which is mostly related to the mineralisation and hardness characteristics of groundwater. The current study suggests that the government needs to develop a policy for the consumption of groundwater in view of rapid urbanization and protect the fresh water from anthropogenic contamination.

Refference:

I. Brindha, K., Vaman, K.V.N., Srinivasan, K., Babu, M.S., Elango, L., Identification of surface water-groundwater interaction by hydrogeochemical indicators and assessing its suitability for drinking and irrigational purposes in Chennai, southern India, Appl. Water Sci. 4 (2) (2013) 159–174. 10.1007/s13201-013-0138-6.
II. Central Ground Water Board (CGWB). (2023/2025). Dynamic Ground Water Resources of India / Ground Water Resource Assessment. Ministry of Jal Shakti, Government of India.
III. Das, T.K., Ahmed, S., Hossen, A., Rahaman, M.H., Rahman, M.M., Multivariate statistics and hydrogeochemistry of deep groundwater at southwestern part of Bangladesh, Heliyon 8 (10) (2022) e11206. 10.1016/j.heliyon.2022.e11206.
IV. Di Giacomo, M., et al. (2020). Methodology for the assessment of diffuse pollution background levels in urban groundwater. Frontiers in Environmental Science, *8*, 525469. 10.3389/fenvs.2020.525469
V. Foster, S., Chilton, J., Nijsten, G.J., Richts, A., Groundwater—A global focus on the ‘local resource’, Curr Opin Env. Sustain 5 (6) (2013) 685–695.
VI. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage.
VII. Hajigholizadeh, M., Melesse, A.M., Assortment and spatio temporal analysis of surface water quality using cluster and discriminant analyses, CATENA 151 (2017), 247-2.
VIII. Hamid, A., Bhat, S.A., Bhat, S.U., Jehangir, A., Environmetric techniques in water quality assessment and monitoring: a case study, Environ. Earth Sci. 75 (2016) 321. 10.1007/s12665-015-5139-3.
IX. Hota, S. R., Hota, R. N., & Goswami, S. (2023). Statistical appraisal of major ion chemistry of groundwater: A Case study from a river-bounded rural area. Journal of the Geological Society of India, *99*(9), 1253-1262. 10.1007/s12594-023-2459-x
X. Igboama, W.N., Hammed, O.S., Fatoba, J.O., Aroyehun, F.T., Ehiabhili, J.C., Review article on impact of groundwater contamination due to dumpsites using geophysical and physicochemical methods, Appl. Water Sci. 12 (6) (2022) 130. 10.1007/s13201-022-01653-z.
XI. Jianqin, M., Jingjing, G., Xiaojie, L., Water quality evaluation model based on PCA and information entropy. Application in Jinshui River, J. Resour. Ecol. 1 (3) (2010) 249–252.
XII. Khan, M.S., Paul, S.K., Groundwater quality assessment and health issues in coastal zone of Bangladesh, Journal of Hazardous Materials Advances 10 (2023) 100278. 10.1016/j.hazadv.2023.100278.
XIII. Navaneeth, A., Sreeda, P., Maya, T.V., Surendran, U., Harikumar, P.S., Unlocking sustainable groundwater governance in secondary cities: lessons from the assessment of groundwater vulnerability in a coastal City of India, in: Urban Clim., 57, 2024 102116.
XIV. Niedbalska, K., Parametric assessment of groundwater vulnerability to pollution within an open pit reclaimed by gangue, Appl. Water Sci. 12 (12) (2022). 10.1007/s13201-022-01783-4.

XV. Rajan, M., Karunanidhi, D., Jaya, J., Preethi, B., Subramani, T., Aravinthasamy, P., A comprehensive review of human health hazards exposure due to groundwater contamination: a global perspective, Phys. Chem. Earth Parts A/B/C (2024) 103637.
XVI. Rao, N.S., Spatial distribution of quality of groundwater and probabilistic non-carcinogenic risk from a rural dry climatic region of South India, Environ. Geochem. Health 43 (2) (2020) 971–993. 10.1007/s10653-020-00621-3.
XVII. Rao, N.S., Das, R., Sahoo, H., Gugulothu, S., Hydrochemical characterization and water quality perspectives for groundwater management for urban development, Groundwater for Sustainable Development 24 (2024) 101071. 10.1016/j.gsd.2023.101071.
XVIII. Rezaei, A., Hassani, H., Hassani, S., Jabbari, N., Fard Mousavi, S.B., Rezaei, A., Evaluation of Groundwater quality and heavy metal pollution indices in Bazman Basin, Southeastern Iran, Groundw. Sustain. Dev. (2019). 10.1016/j.gsd.2019.100245.
XIX. Rezaei, H., Hassani, H., Fard Mousavi, S.B., Jabbari, N., Evaluation of heavy metals concentration in jajarm bauxite deposit in Northeast of Iran using environmental pollution indices, Malays. J. Geosci. MJG 3 (1) (2019) 12–20.
XX. Samal, K. P., Dhara, P., & Tarai, A. (2023, March). Groundwater Pollution: An Overview of Geogenic and Anthropogenic Sources. In International Conference on Recent Developments in Sustainable Infrastructure (pp. 285-298). Singapore: Springer Nature Singapore.
XXI. Samal, K. P., Mishra, P., Tarai, A., & Pradhan, A. K. (2025). Study of Groundwater Quality in Shallow Tubewells of Bhubaneswar City Using WQI Method. Journal of Polymer & Composites, *13*(2). 10.37591/JoPC
XXII. Samal, K. P., Pradhan, A. K., & Tarai, A. (2023, December). Assessment of seasonal variation of water quality in Bhubaneswar urban catchment using water quality index method. In World Anthropology Congress, 2023 (WAC 2023) (pp. 76-94). Atlantis Press. 10.2991/978-2-38476-192-0_9
XXIII. Samal, K. P., & Tarai, A. K. (2025). Assessment of water quality in the piped water supply system by using Water Quality index method. F1000Research, *13*, 1286. 10.12688/f1000research.156276.3
XXIV. Sarwar, S., Ahmmed, I., Mustari, S., Shaibur, M.R., Use of weighted arithmetic water quality index (WAWQI) to determine the suitability of groundwater of Chaugachcha and Manirampur Upazila, Jashore, Bangladesh, Environmental and Biological Research 2 (2) (2020) 37–48.
XXV. Tarai, A.K., Samal, K.P., & Bera, D.K. (2023). Temporal Trends in Groundwater Quality Parameters of Bhubaneswar City. In ICRDSI Proceedings. Springer Singapore.
XXVI. Tyagi, S., Sharma, B., Singh, P., Dobhal, R., Water quality assessment in terms of water quality index, American Journal of Water Resources 1 (3) (2020) 34–38. 10.12691/ajwr-1-3-3.
XXVII. Uddin, M.G., Diganta, M.T., Sajib, A.M., Hasan, M.A., Moniruzzaman, M., Rahman, A., Olbert, A.I., Moniruzzaman, M., Assessment of hydrogeochemistry in groundwater using water quality index model and indices approaches, Heliyon 9 (9) (2023) e19668. 10.1016/j.heliyon.2023.e19668.
XXVIII. WHO, Water for Pharmaceutical Use in Quality Assurance of Pharmaceuticals. A Compendium of Guidelines and Related Materials, 2nd Updated edn, World Health Organization, Geneva, 2007, pp. 170–187.
XXIX. Wiemer, K., Anderson, A., Stewart, B., The importance of water quality for media preparation, Hum. Reprod. 13 (4) (1998) 166–172.
XXX. Wu, J., Li, P., Wang, D., Ren, X., & Wei, M. (2020). Statistical and multivariate statistical techniques to trace the sources and affecting factors of groundwater pollution in a rapidly growing city on the Chinese Loess Plateau. Human and Ecological Risk Assessment: An International Journal, *26*(6),1603 1621. 10.1080/10807039.2019.1594156

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