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Zhenliang Liao

Showing results (1-10 of 25) with videos related to

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Environmental Research|June 6, 2025
Establishment and application of the reverse source apportionment method for readily biodegradable organic matter-examples of urban rivers in Southern China during the rainy seasonZhenliang Liao, Zhiyu Wei, Zhichao Zhao
Water Research|December 23, 2022
Towards coordinated and robust real-time control: a decentralized approach for combined sewer overflow and urban flooding reduction based on multi-agent reinforcement learningZhiyu Zhang, Wenchong Tian, Zhenliang Liao
Environmental Science and Pollution Research International|August 15, 2019
Transfer learning for neural network model in chlorophyll-a dynamics predictionWenchong Tian, Zhenliang Liao, Xuan Wang
Plos One|February 2, 2026
Research on the threshold of the supply and demand of ecosystem servicesHuangwei Deng, Zhenliang Liao, Xuefei Zhou
Environmental Science and Pollution Research International|February 27, 2021
Statistical comparison between SARIMA and ANN's performance for surface water quality time series predictionXuan Wang, Wenchong Tian, Zhenliang Liao
Environmental Science and Pollution Research International|September 6, 2015
An obstacle to China's WWTPs: the COD and BOD standards for discharge into municipal sewersZhenliang Liao, Tiantian Hu, Scott Albert C Roker
Water Research|December 25, 2025
Differentiable neural network-based models enable gradient-based optimization for model predictive control of urban drainage networksZhiyu Zhang, Wenchong Tian, Zhenliang Liao, et al.
Water Research|July 15, 2026
Efficient reinforcement learning for urban drainage control via a neural network-based model using truncated and parallel rolloutsZhiyu Zhang, Wenchong Tian, Zhenliang Liao, et al.
Journal of Environmental Sciences (China)|September 1, 2021
Revealing the characteristics of dissolved organic matter in urban runoff at three typical regions via optical indices and molecular compositionZhenliang Liao, Jiangyong Chu, Chongjia Luo, et al.
Journal of Environmental Management|May 9, 2020
Urban flood risk assessment and analysis with a 3D visualization method coupling the PP-PSO algorithm and building dataGuozheng Zhi, Zhenliang Liao, Wenchong Tian, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Environmental Research|June 6, 2025
Establishment and application of the reverse source apportionment method for readily biodegradable organic matter-examples of urban rivers in Southern China during the rainy seasonZhenliang Liao, Zhiyu Wei, Zhichao Zhao
Water Research|December 23, 2022
Towards coordinated and robust real-time control: a decentralized approach for combined sewer overflow and urban flooding reduction based on multi-agent reinforcement learningZhiyu Zhang, Wenchong Tian, Zhenliang Liao
Environmental Science and Pollution Research International|August 15, 2019
Transfer learning for neural network model in chlorophyll-a dynamics predictionWenchong Tian, Zhenliang Liao, Xuan Wang
Plos One|February 2, 2026
Research on the threshold of the supply and demand of ecosystem servicesHuangwei Deng, Zhenliang Liao, Xuefei Zhou
Environmental Science and Pollution Research International|February 27, 2021
Statistical comparison between SARIMA and ANN's performance for surface water quality time series predictionXuan Wang, Wenchong Tian, Zhenliang Liao
Environmental Science and Pollution Research International|September 6, 2015
An obstacle to China's WWTPs: the COD and BOD standards for discharge into municipal sewersZhenliang Liao, Tiantian Hu, Scott Albert C Roker
Water Research|December 25, 2025
Differentiable neural network-based models enable gradient-based optimization for model predictive control of urban drainage networksZhiyu Zhang, Wenchong Tian, Zhenliang Liao, et al.
Water Research|July 15, 2026
Efficient reinforcement learning for urban drainage control via a neural network-based model using truncated and parallel rolloutsZhiyu Zhang, Wenchong Tian, Zhenliang Liao, et al.
Journal of Environmental Sciences (China)|September 1, 2021
Revealing the characteristics of dissolved organic matter in urban runoff at three typical regions via optical indices and molecular compositionZhenliang Liao, Jiangyong Chu, Chongjia Luo, et al.
Journal of Environmental Management|May 9, 2020
Urban flood risk assessment and analysis with a 3D visualization method coupling the PP-PSO algorithm and building dataGuozheng Zhi, Zhenliang Liao, Wenchong Tian, et al.
Pageof 3