Assessment of groundwater quality in Ranchi district, Jharkhand, India, using water evaluation indices and multivariate statistics
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-023-11101-3.pdf
Reference86 articles.
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2. Abba, S. I., Pham, Q. B., Saini, G., Linh, N. T. T., Ahmed, A. N., Mohajane, M., Khaledian, M., Abdulkadir, R. A., & Bach, Q. V. (2020b). Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index. Environmental Science and Pollution Research International, 27(33), 41524–41539. https://doi.org/10.1007/s11356-020-09689-x
3. Adimalla, N., & Taloor, A. K. (2020). Hydrogeochemical investigation of groundwater quality in the hard rock terrain of South India using Geographic Information System (GIS) and groundwater quality index (GWQI) techniques. Groundwater for Sustainable Development, 10, 100288. https://doi.org/10.1016/j.gsd.2019.100288
4. Adimalla, N., Dhakate, R., Kasarla, A., & Taloor, A. K. (2020). Appraisal of groundwater quality for drinking and irrigation purposes in Central Telangana, India. Groundwater for Sustainable Development, 10, 100334. https://doi.org/10.1016/j.gsd.2020.100334
5. Ahmed, U., Mumtaz, R., Anwar, H., Shah, A. A., Irfan, R., & García-Nieto, J. (2019). Efficient water quality prediction using supervised machine learning. Water, 11(11), 2210. https://doi.org/10.3390/w11112210
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