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 | 143 | 2019 |
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 | 82 | 2018 |
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 | 72 | 2016 |
Burst Detection in District Metering Areas Using Deep Learning Method X Wang, G Guo, S Liu, Y Wu, X Xu, K Smith Journal of Water Resources Planning and Management 146 (6), 04020031, 2020 | 66 | 2020 |
Energy for conventional water supply and wastewater treatment in urban China: A review K Smith, S Liu Global Challenges, 2017 | 63 | 2017 |
Leakage Detection in Water Distribution Systems Based on Time–Frequency Convolutional Neural Network G Guo, X Yu, S Liu, Z Ma, Y Wu, X Xu, X Wang, K Smith, X Wu Journal of Water Resources Planning and Management 147 (2), 04020101, 2021 | 62 | 2021 |
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 | 58 | 2014 |
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 | 57 | 2017 |
Evaluation of energy saving potential of an urban green space and its water bodies X Xu, S Liu, S Sun, W Zhang, Y Liu, Z Lao, G Guo, K Smith, Y Cui, W Liu, ... Energy and Buildings 188, 58-70, 2019 | 55 | 2019 |
An overview on corrosion of iron and steel components in reclaimed water supply systems and the mechanisms involved X Xu, S Liu, K Smith, Y Cui, Z Wang Journal of Cleaner Production 276, 124079, 2020 | 47 | 2020 |
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 | 41 | 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 | 40 | 2019 |
A multivariate based event detection method and performance comparison with two baseline methods S Liu, K Smith, H Che Water Research, 2015 | 40 | 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 | 39 | 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 | 38 | 2018 |
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 | 38 | 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 | 38 | 2015 |
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 | 34 | 2016 |
Identification of urban drinking water supply patterns across 627 cities in China based on supervised and unsupervised statistical learning D De Clercq, K Smith, B Chou, A Gonzalez, R Kothapalle, C Li, X Dong, ... Journal of environmental management 223, 658-667, 2018 | 31 | 2018 |
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 | 31 | 2016 |