Work

Prediction of Oxidant Exposures and Micropollutant Abatement during Ozonation Using a Machine Learning Method

Year: 2020

Type: article

Source: Environmental Science & Technology

DOI: 10.1021/acs.est.0c05836

Authors: Dongwon Cha, Sanghun Park, Min Sik Kim, Taewan Kim, Seok Won Hong, Kyung Hwa Cho, Changha Lee

Institutions: Seoul National University, Ulsan National Institute of Science and Technology, Yale University, Korea Institute of Science and Technology

Language: English

Topic: Advanced oxidation water treatment

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

Funder: Korea Environmental Industry and Technology Institute

Award: G5928328490

OpenAlex ID: W3113101293

FWCI: 1.399

Cites: 35

Cited by: 62

Related to: 10