Kate Smith
Kate Smith
PhD, Environmental Science and Engineering, Tsinghua University
Bestätigte E-Mail-Adresse bei mails.tsinghua.edu.cn - Startseite
Zitiert von
Zitiert von
Characterization of corrosion scale formed on stainless steel delivery pipe for reclaimed water treatment
Y Cui, S Liu, K Smith, K Yu, H Hu, W Jiang, Y Li
Water Research 88, 816-825, 2016
Contamination event detection using multiple types of conventional water quality sensors in source water
S Liu, H Che, K Smith, L Chen
Environmental Science: Processes & Impacts 16, 2028-2038, 2014
Can China reduce energy for water? A review of energy for urban water supply and wastewater treatment and suggestions for change
K Smith, S Liu, Y Liu, S Guo
Renewable and Sustainable Energy Reviews 91, 41-58, 2018
Comparison of sand-based water filters for point-of-use arsenic removal in China
K Smith, Z Li, B Chen, H Liang, X Zhang, R Xu, Z Li, H Dai, C Wei, S Liu
Chemosphere 168, 155-162, 2017
A multivariate based event detection method and performance comparison with two baseline methods
S Liu, K Smith, H Che
Water Research, 2015
A real time method of contaminant classification using conventional water quality sensors
S Liu, H Che, K Smith, T Chang
Journal of Environmental Management 154, 13-21, 2015
Integrating water quality and operation into prediction of water production in drinking water treatment plants by genetic algorithm enhanced artificial neural network
Y Zhang, X Gao, K Smith, G Inial, S Liu, LB Conil, B Pan
Water research 164, 114888, 2019
Energy for conventional water supply and wastewater treatment in urban China: A review
K Smith, S Liu
Global Challenges, 2017
Impact of urban water supply on energy use in China: a provincial and national comparison
K Smith, S Liu, Y Liu, D Savic, G Olsson, T Chang, X Wu
Mitigation and Adaptation Strategies for Global Change, 2015
Contribution of urban water supply to greenhouse gas emissions in China
K Smith, S Liu, T Chang
Journal of Industrial Ecology 20 (4), 792-802, 2016
Why conventional detection methods fail in identifying the existence of contamination events
S Liu, R Li, K Smith, H Che
Water Research 93, 222-229, 2016
Water and energy recovery: The future of wastewater in China
K Smith, S Liu, HY Hu, X Dong, X Wen
Science of The Total Environment 637, 1466-1470, 2018
Reducing energy use for water supply to China’s high-rises
K Smith, S Liu, Y Liu, Y Liu, Y Wu
Energy and Buildings 135, 119-127, 2017
Performance evaluation for three pollution detection methods using data from a real contamination accident
S Liu, H Che, K Smith, M Lei, R Li
Journal of Environmental Management 161, 385-391, 2015
Stainless steel corrosion scale formed in reclaimed water: Characteristics, model for scale growth and metal element release
Y Cui, S Liu, K Smith, H Hu, F Tang, Y Li, K Yu
Journal of Environmental Sciences 48, 79-91, 2016
Using correlation between data from multiple monitoring sensors to detect bursts in water distribution systems
Y Wu, S Liu, K Smith, X Wang
Journal of Water Resources Planning and Management 144 (2), 04017084, 2018
An evaluation of the environmental benefit and energy footprint of China's stricter wastewater standards: Can benefit be increased?
K Smith, S Guo, Q Zhu, X Dong, S Liu
Journal of Cleaner Production 219, 723-733, 2019
Performance Evaluation for a Contamination Detection Method Using Multiple Water Quality Sensors in an Early Warning System
H Che, S Liu, K Smith
Water 7 (4), 1422-1436, 2015
Contaminant classification using cosine distance based on multiple conventional sensors
S Liu, H Che, K Smith, T Chang
Environmental Science: Processes & Impacts 17, 343-350, 2015
A method of detecting contamination events using multiple conventional water quality sensors
S Liu, H Che, K Smith, C Chen
Environmental Monitoring and Assessment 187, 4189, 2015
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