Assessment of groundwater quality using water quality index, multivariate statistical analysis and machine learning techniques in the vicinity of an open dumping yard-Reference-Cited by-同舟云学术

Assessment of groundwater quality using water quality index, multivariate statistical analysis and machine learning techniques in the vicinity of an open dumping yard

Published:2024-07-08 Issue: Volume: Page:
ISSN:1573-2975
Container-title:Environment, Development and Sustainability
language:en
Short-container-title:Environ Dev Sustain

Author:

Venkatesh Arumugasamy Thangapandian,Rajkumar Sujatha,Masilamani Uma Shankar^ORCID

Funder

DST-SERB-CORE RESEARCH GRANT

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10668-024-05209-w.pdf

Reference73 articles.

1. Abdullahi, A. A., Ighalo, J. O., Ajala, O. J., & Ayika, S. (2020). Physicochemical analysis and heavy metals remediation of pharmaceutical industry effluent using bentonite clay modified by h2so4 and hcl. Journal of the Turkish Chemical Society, Section a: Chemistry, 7(3), 727–744. https://doi.org/10.18596/jotcsa.703913

2. Adimalla, N., & Wu, J. (2019). Groundwater quality and associated health risks in a semi-arid region of south India: Implication to sustainable groundwater management. Human and Ecological Risk Assessment, 25(1–2), 191–216. https://doi.org/10.1080/10807039.2018.1546550

3. Adimalla, N., Li, P., & Qian, H. (2019). Evaluation of groundwater contamination for fluoride and nitrate in semi-arid region of Nirmal Province, South India: A special emphasis on human health risk assessment (HHRA). Human and Ecological Risk Assessment: An International Journal, 25(5), 1107–1124. https://doi.org/10.1080/10807039.2018.1460579

4. Aher, S., Deshmukh, K., Gawali, P., Zolekar, R., & Deshmukh, P. (2022). Hydrogeochemical characteristics and groundwater quality investigation along the basinal cross-section of Pravara River, Maharashtra, India. Journal of Asian Earth Sciences: X, 7, 100082. https://doi.org/10.1016/j.jaesx.2022.100082

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 (switzerland). https://doi.org/10.3390/w11112210