Physicochemical parameters data assimilation for efficient improvement of water quality index prediction: Comparative assessment of a noise suppression hybridization approach
Water quality has a crucial impact on human health; therefore, water quality index modeling is one of the challenging issues in the water sector. The accurate prediction of water quality index is an essential requisite for water quality management, human health, public consumption, and domestic uses...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Published: |
Elsevier
2020
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/25266/ https://doi.org/10.1016/j.jclepro.2020.122576 |
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