Predicting the capability of oxidized CNW adsorbents for the remediation of copper under optimal operating conditions using RSM and ANN models
Metal pollutants such as copper released into the aqueous environment have been increasing as a result of anthropogenic activities. Adsorption-based treatment technologies offer opportunities to remediate metal pollutants from municipal and industrial wastewater effluent. The aim of this work was to...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science Publishing Corporation
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/73585/1/Predicting%20the%20capability%20of%20oxidized%20CNW%20adsorbents%20for%20the%20remediation%20of%20copper%20under%20optimal%20operating%20conditions%20using%20RSM%20and%20ANN%20models.pdf http://psasir.upm.edu.my/id/eprint/73585/ https://www.sciencepubco.com/index.php/ijet/article/view/22279 |
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http://psasir.upm.edu.my/id/eprint/73585/1/Predicting%20the%20capability%20of%20oxidized%20CNW%20adsorbents%20for%20the%20remediation%20of%20copper%20under%20optimal%20operating%20conditions%20using%20RSM%20and%20ANN%20models.pdfhttp://psasir.upm.edu.my/id/eprint/73585/
https://www.sciencepubco.com/index.php/ijet/article/view/22279