Application of a hybrid mechanistic/machine learning model for prediction of nitrous oxide (N2O) production in a nitrifying sequencing batch reactor-Reference-Cited by-同舟云学术

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Application of a hybrid mechanistic/machine learning model for prediction of nitrous oxide (N2O) production in a nitrifying sequencing batch reactor

Published:2022-06 Issue: Volume:162 Page:1015-1024
ISSN:0957-5820
Container-title:Process Safety and Environmental Protection
language:en
Short-container-title:Process Safety and Environmental Protection

Author:

Mehrani Mohamad-Javad,Bagherzadeh Faramarz,Zheng Min,Kowal Przemyslaw,Sobotka Dominika,Mąkinia Jacek

Funder

Gdansk University of Technology

Narodowe Centrum Nauki

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference62 articles.

1. Neural network modelling of high pressure CO2 corrosion in pipeline steels;Abbas;Process Saf. Environ. Prot.,2018

2. Supervised machine learning techniques in the desulfurization of oil products for environmental protection: A review;Al-Jamimi;Process Saf. Environ. Prot.,2018

3. Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques;Alejo;Environ. Sci. Pollut. Res.,2018

4. Characterization of the health and environmental radiological effects of TENORM and radiation hazard indicators in petroleum waste –Yemen;Ali;Process Saf. Environ. Prot.,2021

5. Characterization and electrocoagulative treatment of landfill leachates: A statistical approach;Alver;Process Saf. Environ. Prot.,2017

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