Modeling and Optimizing of NH<sub>4</sub><sup>+</sup> Removal from Stormwater by Coal-Based Granular Activated Carbon Using RSM and ANN Coupled with GA

Modeling and Optimizing of NH<sub>4</sub><sup>+</sup> Removal from Stormwater by Coal-Based Granular Activated Carbon Using RSM and ANN Coupled with GA

As a key parameter in the adsorption process, removal rate is not available under most operating conditions due to the time and cost of experimental testing. To address this issue, evaluation of the efficiency of NH<sub>4</sub><sup>+</sup> removal from stormwater by coal-base...

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Bibliographic Details
Main Authors: Aixin Yu, Yuankun Liu, Xing Li, Yanling Yang, Zhiwei Zhou, Hongrun Liu
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Water
Subjects:
response surface methodology (RSM)
back-propagation artificial neural network (BP-ANN)
genetic algorithm (GA)
coal-based granular activated carbon (CB-GAC)
stormwater
Online Access:https://www.mdpi.com/2073-4441/13/5/608

Internet

https://www.mdpi.com/2073-4441/13/5/608

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