Water quality assessment of Noyyal river using water quality index (WQI) and multivariate statistical techniques

References

• Adarsh, S., & Priya, K. L. (2020). Multiscale running correlation analysis of water quality datasets of Noyyal river, India, using the hilbert–huang transform. International Journal of Environmental Science and Technology, 17(3), 1251–1270. doi:10.1007/s13762-019-02396-2
   Web of Science ®Google Scholar
• Adhilakshmi, A., Mariappan, P., & Sashirega, J. (2004). Assessment of water quality of gedilam and pennar. Indian Journal of Environmental Protection, 24, 888–893.
   Google Scholar
• Alan, C. Twort, Don, D. Ratnayaka, & Brandt, Malcolm J. (2000). Chemistry, microbiology and biology of water. In Water supply (Fifth Edition), (196), ISBN-978-0-340-72018-9. Butterworth-Heinemann. doi:10.1016/b978-034072018-9/50008-4
   Google Scholar
• APHA. (1998). Standards methods for the examination of water and wastewater (22nd ed.). Washington DC, USA: American Public Health Association, American Water Works Association, Water Environment Federation.
   Google Scholar
• Ayers, R. S., & Westcot, D. W. (1985). Water quality for agriculture. In FAO irrigation and drainage paper 29 Rev 1 (pp. 174). Rome: Food and Agriculture Organization of the United Nations.
   Google Scholar
• Babu, A., Chinnaiyan Assistant Professor, P., & Chinnaiyan, P. (2017). Tiruppur-A case study. International Journal of Civil Engineering and Technology, 8, 1064–1071.
   Google Scholar
• BIS. (2012). Indian standard, Drinking water- specification (2nd rev ed.). New Delhi, India: Bureau of Indian Standards.
   Google Scholar
• Brown, R. M., McClelland, N. I., Deininger, R. A., & O’Connor, M. F. (1972). A water quality index — Crashing the psychological barrier (pp. 173–182). Indicators of Environmental Quality. Springer US. doi:10.1007/978-1-4684-2856-8_15
   Google Scholar
• Cohen, J. (1988). Set correlation and contingency tables. Applied Psychological Measurement, 12(4), 425–434. doi:10.1177/014662168801200410
   Web of Science ®Google Scholar
• Comly, H. H. (1945). Cyanosis in infants caused by nitrates in well water. Journal of the American Medical Association, 129(2), 112–116. doi:10.1001/jama.1945.02860360014004
   Web of Science ®Google Scholar
• Cude, C. G. (2001). Oregon water quality index: A tool for evaluating water quality management effectiveness. Journal of the American Water Resources Association, 37(1), 125–137. doi:10.1111/j.1752-1688.2001.tb05480.x
   Web of Science ®Google Scholar
• Dev Mudgal, K., Kumari, M., & Sharma, D. K. (2009). Hydrochemical analysis of drinking water quality of Alwar District, Rajasthan. Natural Sciences, 7(2), 30–9.
   Google Scholar
• Doneen, L., 1962. The influence of crop and soil on percolating water., in: Proceedings of the Biennial Conference on Ground Water Recharge California, USA. 156–163.
   Google Scholar
• Doneen, L. (1964). Notes on water quality in agriculture, water science and engineering. : University of California, Davis.
   Google Scholar
• Duraisamy, K., & Krishnaraj, S. (2018). Article in environmental geochemistry and health. Springer, 41, 851–873. doi:10.1007/s10653-018-0183-z
   Google Scholar
• Eaton, F. M. (1950). Significance of carbonates in irrigation waters. Soil Science, 69(2), 127–128. doi:10.1097/00010694-195002000-00004
   Web of Science ®Google Scholar
• Gayathri, V., Muralisankar, T., Rajaram, R., Muniasamy, M., & Santhanam, P. (2020). Assessment of heavy metals pollution in Noyyal and Chinnar Rivers, Western Ghats of Tamil Nadu, India with reference to crabs (Gecarcinucidae)–A baseline study. Bulletin of Environmental Contamination and Toxicology, 105(4), 538–545. doi:10.1007/s00128-020-02986-8
   Web of Science ®Google Scholar
• Gilli, G., Corrao, G., & Favilli, S. (1984). Concentrations of nitrates in drinking water and incidence of gastric carcinomas: First descriptive study of the piemonte region, Italy. Science of the Total Environment, 34(1–2), 35–48. doi:10.1016/0048-9697(84)90039-1
   Web of Science ®Google Scholar
• Hassan Omer, N. (2020). Water quality parameters, in: Water quality - science, assessments and policy. IntechOpen. doi:10.5772/intechopen.89657
   Google Scholar
• Horton, R. (1965). An index number system for rating water quality. Journal of the Water Pollution Control Federation, 37, 300–306.
   Google Scholar
• Jeyaraj, M., Indhuleka, A., & Arunpaul, C. (2018). Oriental Journal Of ChemISTRY investigation of water quality index of River Noyyal and its connected ponds Coimbatore Tamilnadu India. Oriental Journal of Chemistry. 35(3), 1125–1131. doi:10.13005/ojc/350328
   Web of Science ®Google Scholar
• Kelley, W. (1963). Use of saline irrigation water. Soil Science, 95(6), 385–391. doi:10.1097/00010694-196306000-00003
   Google Scholar
• Kelly, W., 1940. Permissible composition and concentrations of irrigated waters, in: Proceedings of the American Society of Civil Engineers 66. p. 607.
   Google Scholar
• Mahmoudi, H., & Shahid, S. A. (2014). Qatar Foundation Annual Research Conference Proceedings. Hamad bin Khalifa University Press (HBKU Press). 737. doi:10.5339/qfarc.2014.eepp0737
   Google Scholar
• Nagaraju, A., Suresh, S., & Hudson-edwards, K. (2006). Hydrogeochemistry of waters of mangampeta barite mining area, Cuddapah Basin, Andhra Pradesh, India. Turkish Journal of Engineering and Environmental Sciences, 30, 203.
   Google Scholar
• Nayar, R. (2020). Assessment of water quality index and monitoring of pollutants by physico-chemical analysis in water bodies: A review. International Journal of Engineering Research and Technology, 9, 178–185.
   Google Scholar
• Paliwal, K. V. (1972). Irrigation with saline water, water technology centre. New Delhi: Indian Agricultural Research Institute. 198.
   Google Scholar
• Pillai, G., & Khan, I. A. (2016). Assessment of groundwater suitability for drinking and irrigation purpose in the dimbhe command area of River Ghod, Maharashtra, India. Journal of Geosciences and Environment Protection, 04, 142–157. doi:10.4236/gep.2016.412011
   Google Scholar
• Prabha, S., Gogoi, A., Mazumder, P., Ramanathan, A., & Kumar, M. (2017). Assessment of the impact of textile effluents on microbial diversity in Tirupur district, Tamil Nadu. Applied Water Science, 7(5), 2267–2277. doi:10.1007/s13201-016-0394-3
   Web of Science ®Google Scholar
• Ragunath, S., & Priya, A. K. (2017). Investigation of water contamination in Noyyal River in the reach of Coimbatore City Limits. International Journal of ChemTech Research, 10, 201–204.
   Google Scholar
• Ravikumar, P., Somashekar, R. K, & Angami, M. (2011). Hydrochemistry and evaluation of groundwater suitability for irrigation and drinking purposes in the Markandeya River basin, Belgaum District, Karnataka State, India. Environmental Monitoring and Assessment, 173(1–4), 459–487. doi:10.1007/s10661-010-1399-2
   PubMed Web of Science ®Google Scholar
• Richards, L. A. (1954). Diagnosis and improvement of saline and alkali soils. Washington DC: US Department of Agriculture Hand Book.
   Google Scholar
• Sapna, K., Thangavelu, A., Mithran, S., & Shanthi, K. (2018). Spatial Analysis of River Water Quality using Inverse Distance Weighted Interpolation in Noyyal Watershed in Coimbatore, Tamilnadu, India. Research Journal of Life Sciences, Bioinformatics, Pharmaceutical and Chemical Sciences, 4(1), 150–161. doi:10.26479/2018.0401.13
   Google Scholar
• Shanmugavalli Elumalai, S., Mahalakshmi, M., & Saranathan, E. (2014). Assessment of water contamination due to dyeing and bleaching effluents on Noyyal River Basin, Tamil Nadu-A Review. International Journal of ChemTech Research, 6, 1335–1340.
   Google Scholar
• Shil, S., Singh, U. K., & Mehta, P. (2019). Water quality assessment of a tropical river using water quality index (WQI), multivariate statistical techniques and GIS. Applied Water Science, 9(7). doi:10.1007/s13201-019-1045-2
   Web of Science ®Google Scholar
• 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. doi:10.1016/j.envsoft.2006.02.001
   Web of Science ®Google Scholar
• Suarez, D. L., & Lebron, I. (1993 Water quality criteria for irrigation with highly saline water. Lieth, H, Al Masoom, A.A.(eds) Towards the rational use of high salinity tolerant plants. Tasks for vegetation science. 28. (Dordrecht: Springer), (pp. 389–397). doi:10.1007/978-94-011-1860-6_45
   Google Scholar
• Subramanian, T. S. (2018a). It is all domestic sewage. Frontline.
   Google Scholar
• Subramanian, T. S. (2018b). Wastelands of the Noyyal. Frontline.
   Google Scholar
• Sunantha, G., & Vasudevan, N. (2016). Assessment of bacterial indicators and physico-chemical parameters in Tiruppur, Erode and Chennai, Tamil Nadu (India). Environmental Nanotechnology, Monitoring & Management, 6, 219–260. doi:10.1016/j.enmm.2016.10.005
   Google Scholar
• TN-ENVIS [WWW Document], n.d. URL http://www.tnenvis.nic.in/Database/TN-ENVIS_791.aspx ( accessed 5.22.21).
   Google Scholar
• Todd, D., & Mays, L. (2005). Groundwater hydrology (3rd ed.). Hoboken: John Wiley and Sons, Inc.,.
   Google Scholar
• WHO. (2008). Guidelines for drinking-water quality (third edit. ed.). Geneva: World Health Organization.
   Google Scholar
• Zakaullah, & Ejaz, N. (2020). Investigation of the Soan River Water Quality Using Multivariate Statistical Approach. International Journal of Photoenergy, 2020, 1–15. doi:10.1155/2020/6644796
   Web of Science ®Google Scholar
• Zamann·, M., Shahidd, S. A., & Heng, L. (2018). Guideline for salinity assessment, mitigation and adaptation using nuclear and related techniques. Switzerland: Springer Nature.
   Google Scholar