Work

Prediction and Optimization of Ammonia Removal in Direct Aeration Process Based on Wastewater Properties: An Integrated Experimental and Machine Learning Approach

Year: 2025

Type: article

Source: ACS ES&T Engineering

DOI: 10.1021/acsestengg.5c00054

Authors: Sheng-Yu Huang, Xiao-Qiong Wu, Quan-Bao Zhao, Liang Yu, Jia-Fang Xie, Yu-Ming Zheng, Ting-Ting Zhou, Jie Li

Institutions: Chinese Academy of Sciences, Institute of Urban Environment, CAS Key Laboratory of Urban Pollutant Conversion, University of Chinese Academy of Sciences, Washington State University, University of Science and Technology of China

Language: English

Topic: Wastewater Treatment and Nitrogen Removal

Subfield: Pollution

Field: Environmental Science

Domain: Physical Sciences

SDGs: Clean water and sanitation, Responsible consumption and production, Climate action

Open Access status: closed

Funders: Science and Technology Projects of Fujian Province, National Natural Science Foundation of China, Chinese Academy of Sciences

Awards: G2061178244, G2494465227, G3966103342, G4073038780, G4176145008, G4492081545

OpenAlex ID: W4407834338

FWCI: 1.556

Cites: 53

Cited by: 7

Related to: 10