Developing a new approach for design support of subsurface constructed wetland using machine learning algorithms-Reference-Cited by-同舟云学术

Developing a new approach for design support of subsurface constructed wetland using machine learning algorithms

Published:2022-01 Issue: Volume:301 Page:113868
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Nguyen Xuan Cuong^ORCID,Nguyen Thi Thanh Huyen,Le Quyet V.,Le Phuoc Cuong,Srivastav Arun Lal,Pham Quoc Bao,Nguyen Phuong Minh,La D. Duong,Rene Eldon R.,Ngo H. Hao,Chang S. Woong,Nguyen D. Duc^ORCID

Funder

Kyonggi University

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

Reference64 articles.

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2. Total nitrogen and ammonia removal prediction in horizontal subsurface flow constructed wetlands: use of artificial neural networks and development of a design equation;Akratos;Bioresour. Technol.,2009

3. Influence of bed media characteristics on ammonia and nitrate removal in shallow horizontal subsurface flow constructed wetlands;Albuquerque;Bioresour. Technol.,2009

4. Performance evaluation and prediction for a pilot two-stage on-site constructed wetland system employing dewatered alum sludge as main substrate;Babatunde;Bioresour. Technol.,2011

5. Continuous removals of phenol, organics, thiocyanate and nitrogen in horizontal subsurface flow constructed wetland;Benny;Journal of Water Process Engineering,2020

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