Hybrid data and knowledge driven approach for determining coagulant dosing in drinking water treatment plants

This study employs a hybrid data and knowledge driven approach to determine the coagulant dosing and effluent turbidity control problems in drinking water treatment plants.

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Publication Details

Journal
Environmental Science Water Research & Technology
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ew00058k
Primary Topic
Hydrological Forecasting Using AI
Type
article
Field-Weighted Citation Impact
0.00

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article

Hybrid data and knowledge driven approach for determining coagulant dosing in drinking water treatment plants

Chunmei Wang, Jiahao Liu, Dongsheng Wang, Y. Yuan
Environmental Science Water Research & Technology
Hydrological Forecasting Using AI
article

Hybrid data and knowledge driven approach for determining coagulant dosing in drinking water treatment plants

Chunmei Wang, Jiahao Liu, Dongsheng Wang, Y. Yuan
article en

Abstract

This study employs a hybrid data and knowledge driven approach to determine the coagulant dosing and effluent turbidity control problems in drinking water treatment plants.

Environmental Science Water Research & TechnologyVol. 11(7)
Nanjing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 89%
Hydrological Forecasting Using AI
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