An Integrated First Principal and Deep Learning Approach for Modeling Nitrous Oxide Emissions from Wastewater Treatment Plants

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References

Details

Published: Feb 02, 2022
Vol/Issue: 56(4)
Pages: 2816-2826
License: View

Authors

K

Kaili Li

School of Chemical Engineering, The University of Queensland, Brisbane, Queensland 4072, Australia

H

Haoran Duan

School of Chemical Engineering, The University of Queensland, Brisbane, Queensland 4072, Australia; Australian Centre for Water and Environmental Biotechnology (formerly AWMC), The University of Queensland, Brisbane, Queensland 4072, Australia

L

Linfeng Liu

Queensland Brain Institute, The University of Queensland, Brisbane, Queensland 4072, Australia

R

Ruihong Qiu

School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Queensland 4072, Australia

B

Ben van den Akker

South Australian Water Corporation, Adelaide, South Australia 5000, Australia; School of Natural and Built Environments, University of South Australia, Adelaide, South Australia 5001, Australia; College of Science and Engineering, Flinders University, Adelaide, South Australia 5042, Australia

B

Bing-Jie Ni

Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, New South Wales 2007, Australia

H

Hongzhi Yin

School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Queensland 4072, Australia

Z

Zhiguo Yuan

Australian Centre for Water and Environmental Biotechnology (formerly AWMC), The University of Queensland, Brisbane, Queensland 4072, Australia

L

Liu Ye

School of Chemical Engineering, The University of Queensland, Brisbane, Queensland 4072, Australia

Funding

Australian Research Council Award: CE200100025

Water Research Australia

Cite This Article

Kaili Li, Haoran Duan, Linfeng Liu, et al. (2022). An Integrated First Principal and Deep Learning Approach for Modeling Nitrous Oxide Emissions from Wastewater Treatment Plants. Environmental Science & Technology, 56(4), 2816-2826. https://doi.org/10.1021/acs.est.1c05020

An Integrated First Principal and Deep Learning Approach for Modeling Nitrous Oxide Emissions from Wastewater Treatment Plants

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