Experimental studies and artificial neural network modeling of hydrogen sulfide removal from wastewater by calcium-modified coconut shell based activated carbon
In this study, activated carbon-based adsorbent was prepared from eggshells and coconut shells. The effects of contact time, initial H2S concentration, and the calcium impregnated coconut shell activated carbon (Ca-CSAC) adsorption dosage on the hydrogen sulphide (H2S) removal efficiency and adsorpt...
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Prince of Songkla University
2023
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my.uniten.dspace-265642023-05-29T17:12:02Z Experimental studies and artificial neural network modeling of hydrogen sulfide removal from wastewater by calcium-modified coconut shell based activated carbon Habeeb O.A. Ayodele B.V. Alsaffar M.A. Abdullah T.A.R.B.T. Kanthasamy R. Yunus R.B.M. 57194114981 56862160400 57210601717 57222568824 56070146400 14720494400 In this study, activated carbon-based adsorbent was prepared from eggshells and coconut shells. The effects of contact time, initial H2S concentration, and the calcium impregnated coconut shell activated carbon (Ca-CSAC) adsorption dosage on the hydrogen sulphide (H2S) removal efficiency and adsorption capacity were investigated. The batch adsorption data obtained from the experimental runs were employed to fit an artificial neural network (ANN) model. An initial optimization was performed to obtain the most suitable number of hidden neurons for training and validation of the ANN. The optimization results show that 16 hidden neurons was the most appropriate choice. The trained ANN was adequately validated and tested with coefficients of determination (R2) of 0.99 and 0.95, respectively. The ANN was found to be a robust tool for modeling of H2S removal efficiency by and adsorption capacity on Ca-CSAC under different process conditions. � 2021, Prince of Songkla University. All rights reserved. Final 2023-05-29T09:12:02Z 2023-05-29T09:12:02Z 2021 Article 2-s2.0-85103267295 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103267295&partnerID=40&md5=5c6cba97cf46b709d39f62c62a8388a0 https://irepository.uniten.edu.my/handle/123456789/26564 43 1 96 104 Prince of Songkla University Scopus |
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In this study, activated carbon-based adsorbent was prepared from eggshells and coconut shells. The effects of contact time, initial H2S concentration, and the calcium impregnated coconut shell activated carbon (Ca-CSAC) adsorption dosage on the hydrogen sulphide (H2S) removal efficiency and adsorption capacity were investigated. The batch adsorption data obtained from the experimental runs were employed to fit an artificial neural network (ANN) model. An initial optimization was performed to obtain the most suitable number of hidden neurons for training and validation of the ANN. The optimization results show that 16 hidden neurons was the most appropriate choice. The trained ANN was adequately validated and tested with coefficients of determination (R2) of 0.99 and 0.95, respectively. The ANN was found to be a robust tool for modeling of H2S removal efficiency by and adsorption capacity on Ca-CSAC under different process conditions. � 2021, Prince of Songkla University. All rights reserved. |
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57194114981 |
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57194114981 Habeeb O.A. Ayodele B.V. Alsaffar M.A. Abdullah T.A.R.B.T. Kanthasamy R. Yunus R.B.M. |
| format |
Article |
| author |
Habeeb O.A. Ayodele B.V. Alsaffar M.A. Abdullah T.A.R.B.T. Kanthasamy R. Yunus R.B.M. |
| spellingShingle |
Habeeb O.A. Ayodele B.V. Alsaffar M.A. Abdullah T.A.R.B.T. Kanthasamy R. Yunus R.B.M. Experimental studies and artificial neural network modeling of hydrogen sulfide removal from wastewater by calcium-modified coconut shell based activated carbon |
| author_sort |
Habeeb O.A. |
| title |
Experimental studies and artificial neural network modeling of hydrogen sulfide removal from wastewater by calcium-modified coconut shell based activated carbon |
| title_short |
Experimental studies and artificial neural network modeling of hydrogen sulfide removal from wastewater by calcium-modified coconut shell based activated carbon |
| title_full |
Experimental studies and artificial neural network modeling of hydrogen sulfide removal from wastewater by calcium-modified coconut shell based activated carbon |
| title_fullStr |
Experimental studies and artificial neural network modeling of hydrogen sulfide removal from wastewater by calcium-modified coconut shell based activated carbon |
| title_full_unstemmed |
Experimental studies and artificial neural network modeling of hydrogen sulfide removal from wastewater by calcium-modified coconut shell based activated carbon |
| title_sort |
experimental studies and artificial neural network modeling of hydrogen sulfide removal from wastewater by calcium-modified coconut shell based activated carbon |
| publisher |
Prince of Songkla University |
| publishDate |
2023 |
| _version_ |
1806427414001090560 |
| score |
13.211869 |