From Passive to Proactive: A Novel Paradigm for Odor Control in Drinking Water - Details

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digiital twin early warning intelligent decision making odor events sensory artificial intelligence

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[ 1 ] [Ning R.]State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China
[ 2 ] [Ning R.]School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, 30332, GA, United States
[ 3 ] [Xiang Y.]School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, 30332, GA, United States
[ 4 ] [Wang D.]State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China
[ 5 ] [Zhang K.]College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, 310058, China
[ 6 ] [Wei Z.]Fuzhou Water Supply Company, Ltd., Fujian, 350002, China
[ 7 ] [Xu K.]College of Civil Engineering, Fuzhou University, Fuzhou, 350116, China
[ 8 ] [Gao N.]State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China
[ 9 ] [Gao N.]Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, China
[ 10 ] [Yu S.]State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China
[ 11 ] [Yu S.]Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, China
[ 12 ] [Li L.]State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China
[ 13 ] [Li L.]Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, China
[ 14 ] [Snyder S.A.]School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, 30332, GA, United States

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Source ：

Environmental Science and Technology

ISSN： 0013-936X

Year： 2025

Issue： 20

Volume： 59

Page： 9861-9864

1 0 . 9 0 0

JCR@2023

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ESI Highly Cited Papers on the List： 0 Unfold All

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30 Days PV： 1

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