Machine learning application reveal dynamic interaction of polyphosphate-accumulating organism in full-scale wastewater treatment plant-Reference-Cited by-同舟云学术

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Machine learning application reveal dynamic interaction of polyphosphate-accumulating organism in full-scale wastewater treatment plant

Published:2021-12 Issue: Volume:44 Page:102417
ISSN:2214-7144
Container-title:Journal of Water Process Engineering
language:en
Short-container-title:Journal of Water Process Engineering

Author:

Oh Seungdae,Kim Youngjun

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Process Chemistry and Technology,Waste Management and Disposal,Safety, Risk, Reliability and Quality,Biotechnology

Reference51 articles.

1. A review of biological phosphorus removal in the activated sludge process;Barnard;Water SA,1976

2. Long-term simulation of a full-scale EBPR plant with a novel metabolic-ASM model and its use as a diagnostic tool;Santos;Water Res.,2020

3. Temperature effect on microbial community of enhanced biological phosphorus removal system;Panswad;Water Res.,2003

4. Modeling the PAO-GAO competition: effects of carbon source, pH and temperature;Lopez-Vazquez;Water Res.,2009

5. Competition between polyphosphate- and glycogen-accumulating organisms in enhanced-biological-phosphorus-removal systems: effect of temperature and sludge age;Whang;Water Environ. Res,2006

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