Artificial Intelligence-Assisted Prediction of Effluent Phosphorus in a Full-Scale Wastewater Treatment Plant with Missing Phosphorus Input and Removal Data-Reference-Cited by-同舟云学术

Artificial Intelligence-Assisted Prediction of Effluent Phosphorus in a Full-Scale Wastewater Treatment Plant with Missing Phosphorus Input and Removal Data

Published:2023-01-09 Issue: Volume: Page:
ISSN:2690-0637
Container-title:ACS ES&T Water
language:en
Short-container-title:ACS EST Water

Author:

Xu Yanran¹^ORCID,Wang Zixuan¹^ORCID,Nairat Shaker²^ORCID,Zhou Jianpeng²,He Zhen¹^ORCID

Affiliation:

1. Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri63130, United States

2. Department of Civil Engineering, Southern Illinois University Edwardsville, Edwardsville, Illinois62026, United States

Funder

Fulbright Association

Washington University in St. Louis

Publisher

American Chemical Society (ACS)

Subject

Water Science and Technology,Environmental Chemistry,Chemistry (miscellaneous),Chemical Engineering (miscellaneous)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsestwater.2c00517

Reference35 articles.

1. Review: Phosphorus removal and recovery technologies

2. Removal of phosphorus and organic matter removal by alum during wastewater treatment

3. Phosphorous in the environment: characteristics with distribution and effects, removal mechanisms, treatment technologies, and factors affecting recovery as minerals in natural and engineered systems

4. A Review of Phosphorus Removal Technologies and Their Applicability to Small-Scale Domestic Wastewater Treatment Systems

5. Artificial intelligence as an upcoming technology in wastewater treatment: a comprehensive review

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