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Original Article
Regression and Cluster Analysis of Water Quality Parameters of Mahanadi River at Rajim
Khushi Dewangan1
Preety Kumari2
Rupa Sahu3
Muktanjali Pather4
Suprabha Panda5
Dr. Ajay Kumar Garg6
1234 Department of Civil Engineering, Government Engineering College Raipur, Chhattisgarh., India. 5Assistant Professor, Department of Civil Engineering, Government Engineering College Raipur, Chhattisgarh., India. 6Professor, Department of Civil Engineering, Government Engineering College Raipur, Chhattisgarh., India.
Published Online: May-June 2025
Pages: 140-143
Cite this article
No DOIReferences
1. Sharma, A., et al. (2017). Seasonal water quality assessment of Yamuna River using statistical techniques. Environmental
Monitoring and Assessment, 189(2), 95-104.
2. Rao, P., & Reddy, M. (2015). Long-term monitoring of Godavari River water quality. Journal of Water Resource
Management, 29(8), 2841–2856.
3. Kumar, S., et al. (2019). Regression analysis of Ganga River water parameters. Journal of Environmental Sciences, 31(5),
505–514.
4. Mishra, P., & Tripathi, R. (2021). Predictive modeling of dissolved oxygen using multiple regression. International
Journal of Environmental Research and Public Health, 18(3), 1032.
5. Singh, K. P., Malik, A., Mohan, D., & Sinha, S. (2004). Multivariate statistical techniques for the evaluation of spatial and
temporal variations in water quality of Gomti River (India). Water Research, 38(18), 3980-3992.
6. Yadav, S., & Joshi, P. (2018). Groundwater quality classification using k-means clustering. Environmental Earth Sciences,
77(2), 55.
7. Patel, R., et al. (2020). Industrial pollution impact on Mahanadi River water quality. Journal of Environmental Studies, 45(3),
243-256.
8. Zhou, F., Huang, J., & Guo, H. (2007). Statistical approaches to spatial variation and source apportionment of water pollution
in Qiantang River (China). Journal of Environmental Management, 82(1), 32 –41.
9. Shrestha, S., & Kazama, F. (2007). Assessment of surface water quality using multivariate statistical
Techniques: A case study of the Fuji river basin, Japan. Environmental Modelling & Software, 22(4), 464-475.
10. Kazi, T.G., et al. (2009). Evaluation of water quality for drinking and irrigation purposes of Indus River, Pakistan.
Ecotoxicology and Environmental Safety, 72(3), 626–633.
11. Iscen, C.F., et al. (2008). Application of multivariate statistical techniques in the assessment of surface water quality in Uluabat
Lake, Turkey. Environmental Monitoring and Assessment, 144(1-3), 269–276.
12. Simeonov, V., et al. (2003). Assessment of the surface water quality in Northern Greece. Water Research, 37(17), 4119 –4124.
13. Vega, M., et al. (1998). Assessment of seasonal and polluting effects on the quality of river water by exploratory data
analysis. Water Research, 32(12), 3581–3592.
14. Varol, M. (2011). Assessment of water quality and pollution sources in the Tigris River (Turkey) using multivariate statistic al
techniques. Journal of Hazardous Materials, 195, 355–364.
15. Reghunath, R., Sreedhara Murthy, T. R., & Raghavan, B. R. (2002). The utility of multivariate statistical techniques in
hydrogeochemical studies: An example from Karnataka, India. Water Research, 36(10), 2437– 2442.
Monitoring and Assessment, 189(2), 95-104.
2. Rao, P., & Reddy, M. (2015). Long-term monitoring of Godavari River water quality. Journal of Water Resource
Management, 29(8), 2841–2856.
3. Kumar, S., et al. (2019). Regression analysis of Ganga River water parameters. Journal of Environmental Sciences, 31(5),
505–514.
4. Mishra, P., & Tripathi, R. (2021). Predictive modeling of dissolved oxygen using multiple regression. International
Journal of Environmental Research and Public Health, 18(3), 1032.
5. Singh, K. P., Malik, A., Mohan, D., & Sinha, S. (2004). Multivariate statistical techniques for the evaluation of spatial and
temporal variations in water quality of Gomti River (India). Water Research, 38(18), 3980-3992.
6. Yadav, S., & Joshi, P. (2018). Groundwater quality classification using k-means clustering. Environmental Earth Sciences,
77(2), 55.
7. Patel, R., et al. (2020). Industrial pollution impact on Mahanadi River water quality. Journal of Environmental Studies, 45(3),
243-256.
8. Zhou, F., Huang, J., & Guo, H. (2007). Statistical approaches to spatial variation and source apportionment of water pollution
in Qiantang River (China). Journal of Environmental Management, 82(1), 32 –41.
9. Shrestha, S., & Kazama, F. (2007). Assessment of surface water quality using multivariate statistical
Techniques: A case study of the Fuji river basin, Japan. Environmental Modelling & Software, 22(4), 464-475.
10. Kazi, T.G., et al. (2009). Evaluation of water quality for drinking and irrigation purposes of Indus River, Pakistan.
Ecotoxicology and Environmental Safety, 72(3), 626–633.
11. Iscen, C.F., et al. (2008). Application of multivariate statistical techniques in the assessment of surface water quality in Uluabat
Lake, Turkey. Environmental Monitoring and Assessment, 144(1-3), 269–276.
12. Simeonov, V., et al. (2003). Assessment of the surface water quality in Northern Greece. Water Research, 37(17), 4119 –4124.
13. Vega, M., et al. (1998). Assessment of seasonal and polluting effects on the quality of river water by exploratory data
analysis. Water Research, 32(12), 3581–3592.
14. Varol, M. (2011). Assessment of water quality and pollution sources in the Tigris River (Turkey) using multivariate statistic al
techniques. Journal of Hazardous Materials, 195, 355–364.
15. Reghunath, R., Sreedhara Murthy, T. R., & Raghavan, B. R. (2002). The utility of multivariate statistical techniques in
hydrogeochemical studies: An example from Karnataka, India. Water Research, 36(10), 2437– 2442.
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