Funding for this research was provided by:
Heilongjiang Key Laboratory of Ozone Application Technology and Equipment Development (OZO202104)
State Key Laboratory of Urban Water Resource and Environment (No. 2022TS16)
the national science and technology major project for water pollution control and treatment (2017ZX07501002)
Article Title: Water quality modeling and prediction of water supply plants in low-temperature and low-turbidity periods by using black box artificial intelligence models
Journal Title: Engineering Research Express
Article Type: paper
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Publication dates
Date Received: 2023-02-14
Date Accepted: 2023-06-13
Online publication date: 2023-06-22