Optimization of a Novel Engineered Ecosystem Integrating Carbon, Nitrogen, Phosphorus, and Sulfur Biotransformation for Saline Wastewater Treatment Using an Interpretable Machine Learning Approach-Reference-Cited by-同舟云学术

Optimization of a Novel Engineered Ecosystem Integrating Carbon, Nitrogen, Phosphorus, and Sulfur Biotransformation for Saline Wastewater Treatment Using an Interpretable Machine Learning Approach

Published:2024-07-10 Issue:29 Volume:58 Page:12989-12999
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Jiang Jinqi¹²^ORCID,Xiang Xiang²,Zhou Qinhao²,Zhou Lichang¹,Bi Xinqi¹,Khanal Samir Kumar³^ORCID,Wang Zongping¹,Chen Guanghao⁴,Guo Gang¹^ORCID

Affiliation:

1. Hubei Key Laboratory of Multi-media Pollution Cooperative Control in Yangtze Basin, School of Environmental Science & Engineering, Huazhong University of Science and Technology (HUST), 1037 Luoyu Road, Wuhan, Hubei 430074, China

2. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China

3. Department of Molecular Biosciences and Bioengineering, University of Hawai‘i at Ma̅noa, 1955 East-West Road, Honolulu, Hawaii 96822, United States

4. Civil & Environmental Engineering and Hong Kong Branch of the Chinese National Engineering Research Center for Control & Treatment of Heavy Metal Pollution, The Hong Kong University of Science and Technology, Hong Kong 999077, PR China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Key Research and Development Program of Hubei Province

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.4c03160

Reference55 articles.

1. Integrating Bio-Electrochemical Sensors and Machine Learning to Predict the Efficacy of Biological Nutrient Removal Processes at Water Resource Recovery Facilities

2. Elemental sulfur-driven sulfidogenic process under highly acidic conditions for sulfate-rich acid mine drainage treatment: Performance and microbial community analysis

3. Flue Gas Desulfurization Wastewater Composition and Implications for Regulatory and Treatment Train Design

4. Physicochemical and biological characterization of long-term operated sulfate reducing granular sludge in the SANI® process

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