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Zhenliang Liao

Showing results (11-20 of 25) with videos related to

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Environmental Science and Pollution Research International|February 14, 2022
Evaluation of the pollutant interactions between different overlying water and sediment in simulated urban sewer system by excitation-emission matrix fluorescence spectroscopyZhenliang Liao, Jiangyong Chu, Shuangyu Zhou, et al.
Environmental Monitoring and Assessment|November 19, 2024
Source identification of water distribution system contamination based on simulated annealing-particle swarm optimization algorithmZhenliang Liao, Xingyang Shi, Yangting Liao, et al.
Marine Pollution Bulletin|August 2, 2012
Integration of multi-technology on oil spill emergency preparednessZhenliang Liao, Phillip M Hannam, Xiaowei Xia, et al.
Environmental Science and Pollution Research International|July 12, 2019
An integrated assessment of drainage system reconstruction based on a drainage network modelZhenliang Liao, Xianyong Gu, Jiaqiang Xie, et al.
Environmental Science and Pollution Research International|January 10, 2019
CBR-based integration of a hydrodynamic and water quality model and GIS-a case study of Chaohu CityZhenliang Liao, Can Zhou, Wenchong Tian, et al.
Water Research|December 2, 2023
Improving the interpretability of deep reinforcement learning in urban drainage system operationWenchong Tian, Guangtao Fu, Kunlun Xin, et al.
Environmental Science and Pollution Research International|July 21, 2017
Modelling the effects of water diversion and combined sewer overflow on urban inland river qualityXianyong Gu, Zhenliang Liao, Guangqian Zhang, et al.
Water Research|April 24, 2025
Enhancing the resilience of urban drainage system using deep reinforcement learningWenchong Tian, Zhiyu Zhang, Kunlun Xin, et al.
Water Research|August 2, 2024
Graph neural network-based surrogate modelling for real-time hydraulic prediction of urban drainage networksZhiyu Zhang, Wenchong Tian, Chenkaixiang Lu, et al.
Journal of Environmental Management|March 4, 2024
A "Prediction - Detection - Judgment" framework for sudden water contamination event detection with online monitoringZhenliang Liao, Minhao Zhang, Yun Chen, et al.
Pageof 3

Showing results (11-20 of 25) with videos related to

Sort By:
Pageof 3
Environmental Science and Pollution Research International|February 14, 2022
Evaluation of the pollutant interactions between different overlying water and sediment in simulated urban sewer system by excitation-emission matrix fluorescence spectroscopyZhenliang Liao, Jiangyong Chu, Shuangyu Zhou, et al.
Environmental Monitoring and Assessment|November 19, 2024
Source identification of water distribution system contamination based on simulated annealing-particle swarm optimization algorithmZhenliang Liao, Xingyang Shi, Yangting Liao, et al.
Marine Pollution Bulletin|August 2, 2012
Integration of multi-technology on oil spill emergency preparednessZhenliang Liao, Phillip M Hannam, Xiaowei Xia, et al.
Environmental Science and Pollution Research International|July 12, 2019
An integrated assessment of drainage system reconstruction based on a drainage network modelZhenliang Liao, Xianyong Gu, Jiaqiang Xie, et al.
Environmental Science and Pollution Research International|January 10, 2019
CBR-based integration of a hydrodynamic and water quality model and GIS-a case study of Chaohu CityZhenliang Liao, Can Zhou, Wenchong Tian, et al.
Water Research|December 2, 2023
Improving the interpretability of deep reinforcement learning in urban drainage system operationWenchong Tian, Guangtao Fu, Kunlun Xin, et al.
Environmental Science and Pollution Research International|July 21, 2017
Modelling the effects of water diversion and combined sewer overflow on urban inland river qualityXianyong Gu, Zhenliang Liao, Guangqian Zhang, et al.
Water Research|April 24, 2025
Enhancing the resilience of urban drainage system using deep reinforcement learningWenchong Tian, Zhiyu Zhang, Kunlun Xin, et al.
Water Research|August 2, 2024
Graph neural network-based surrogate modelling for real-time hydraulic prediction of urban drainage networksZhiyu Zhang, Wenchong Tian, Chenkaixiang Lu, et al.
Journal of Environmental Management|March 4, 2024
A "Prediction - Detection - Judgment" framework for sudden water contamination event detection with online monitoringZhenliang Liao, Minhao Zhang, Yun Chen, et al.
Pageof 3