Machine Learning Application for Nutrient Removal Rate Coefficient Analyses in Horizontal Flow Constructed Wetlands-Reference-Cited by-同舟云学术

Machine Learning Application for Nutrient Removal Rate Coefficient Analyses in Horizontal Flow Constructed Wetlands

Published:2024-05-01 Issue:6 Volume:4 Page:2619-2631
ISSN:2690-0637
Container-title:ACS ES&T Water
language:en
Short-container-title:ACS EST Water

Author:

Singh Saurabh¹²³^ORCID,Soti Abhishek²,Kulshreshtha Niha Mohan²,Samaria Akshat²,Brighu Urmila²,Gupta Akhilendra Bhushan²^ORCID,Bezbaruah Achintya N.¹^ORCID

Affiliation:

1. Department of Civil, Construction and Environmental Engineering, North Dakota State University, Fargo, North Dakota 58105, United States

2. Department of Civil Engineering, Malaviya National Institute of Technology, Jaipur 302017, India

3. Department of Civil Engineering, Swami Keshvanand Institute of Technology, Management and Gramothan, Jaipur 302017, India

Funder

U.S. Department of State

United States - India Educational Foundation

Department of Science and Technology, Ministry of Science and Technology, India

North Dakota State University

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsestwater.4c00121

Reference52 articles.

1. Influence of Phragmites communis and Zizania aquatica on rhizosphere soil enzyme activity and bacterial community structure in a surface flow constructed wetland treating secondary domestic effluent in China

2. Comparative study on total nitrogen prediction in wastewater treatment plant and effect of various feature selection methods on machine learning algorithms performance

3. Novel Biochar/Fe-Modified Biocarriers Assisted Tidal-Flow Constructed Wetlands for Enhanced Nitrogen Removal from Eutrophic Water under Low Temperatures

4. Emergent plants used in free water surface constructed wetlands: A review

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