Z. Liao

发表

Transfer learning for neural network model in chlorophyll-a dynamics prediction

Zhenliang Liao, Wenchong Tian, Xuan Wang, 2019, Environmental Science and Pollution Research.

Comprehensive assessment of eutrophication status based on Monte Carlo–triangular fuzzy numbers model: site study of Dongting Lake, Mid-South China

Zhenliang Liao, Marc Walther, Guozheng Zhi, 2016, Environmental Earth Sciences.

An integrated assessment of drainage system reconstruction based on a drainage network model

Z. Liao, Jiaqiang Xie, Xianyong Gu, 2019, Environmental Science and Pollution Research.

Case study on initial allocation of Shanghai carbon emission trading based on Shapley value

Zhenliang Liao, Z. Liao, Xiaolong Zhu, 2015 .

Modelling the effects of water diversion and combined sewer overflow on urban inland river quality

Z. Liao, Jin Zhang, Xianyong Gu, 2017, Environmental Science and Pollution Research.

The Mekong Game: Achieving an All-win Situation

Phillip M. Hannam, Z. Liao, 2013, Water Resources Management.

An all-win game for Mekong

Phillip M. Hannam, Z. Liao, 2012, 2012 International Symposium on Geomatics for Integrated Water Resource Management.

Insights into the Associations between Optical and Molecular Signatures of Dissolved Organic Matter from Urban Stormwater Runoff

Z. Liao, Jiangyong Chu, Chongjia Luo, 2022, ACS ES&T Water.

Analysis of Cooperative Approaches and Sustainable Development Mechanism: Fundamental Contents and Implementation Framework

Z. Liao, H. Deng, Ying Su, 2020 .

An In-Depth Assessment of Water Resource Responses to Regional Development Policies Using Hydrological Variation Analysis and System Dynamics Modeling

Chun-hui Li, Z. Liao, Xuan Wang, 2020, Sustainability.

Flooding and Overflow Mitigation Using Deep Reinforcement Learning Based on Koopman Operator of Urban Drainage Systems

Wenchong Tian, Z. Liao, Hao Wu, 2022 .

Framework for Hyperparameter Impact Analysis and Selection for Water Resources Feedforward Neural Network

Wenchong Tian, Z. Liao, Xuan Wang, 2022, Water Resources Management.

Combined Sewer Overflow and Flooding Mitigation Through a Reliable Real‐Time Control Based on Multi‐Reinforcement Learning and Model Predictive Control

Wenchong Tian, Z. Liao, Xuan Wang, 2022, Water Resources Research.

Transfer functions in volume rendering of lake water quality using concentration frequency distribution

Z. Liao, Xianyong Gu, Wangjun He, 2022, Environmental Earth Sciences.

Framework for Hyperparameter Impact Analysis and Selection for Water Resources Feedforward Neural Network

Wenchong Tian, Z. Liao, Xuan Wang, 2022, Water Resources Management.

Proposal of Implementation Framework of Cooperative Approaches and Sustainable Development Mechanism

Z. Liao, H. Deng, Jiang Wu, 2022 .

Comparison of Real-time Control Methods for CSO Reduction with Two Evaluation Indices: Computing Load Rate and Double Baseline Normalized Distance

Wenchong Tian, Z. Liao, Jiaqiang Xie, 2022, Water Resources Management.

Introduction

Z. Liao, A. Sachse, Olaf Kolditz, 2018, Terrestrial Environmental Sciences.

Insights into the Associations between Optical and Molecular Signatures of Dissolved Organic Matter from Urban Stormwater Runoff

Z. Liao, Jiangyong Chu, Chongjia Luo, 2022, ACS ES&T Water.

To analyze the Urban Water Pollution Discharge System using the tracking and tracing approach

Zhenliang Liao, Karsten Rink, Guozheng Zhi, 2016, Environmental Earth Sciences.

River environmental decision support system development for Suzhou Creek in Shanghai.

Zhenliang Liao, Phillip M. Hannam, Dingbao Wang, 2011, Journal of environmental management.

An obstacle to China’s WWTPs: the COD and BOD standards for discharge into municipal sewers

Z. Liao, Tiantian Hu, S. A. C. Roker, 2015, Environmental Science and Pollution Research.

Flexibility is needed in China’s national carbon market

Z. Liao, Qian Yao, 2022, Nature Climate Change.

Developing country finance in a post-2020 global climate agreement

Phillip M. Hannam, M. Oppenheimer, S. Davis, 2015 .

Offline Optimization of Sluice Control Rules in the Urban Water System for Flooding Mitigation

Wenchong Tian, Z. Liao, Xuan Wang, 2021, Water Resources Management.

Integration of multi-technology on oil spill emergency preparedness.

Tingting Zhao, Phillip M. Hannam, Xiaowei Xia, 2012, Marine pollution bulletin.

Adaptation methodology of CBR for environmental emergency preparedness system based on an Improved Genetic Algorithm

Zhenliang Liao, Tingting Zhao, Xuewei Mao, 2012, Expert Syst. Appl..

CBR-based integration of a hydrodynamic and water quality model and GIS—a case study of Chaohu City

Zhenliang Liao, Can Zhou, Wenchong Tian, 2019, Environmental Science and Pollution Research.

Virtual geographic environments for water pollution control

Zhenliang Liao, Lars Bilke, Karsten Rink, 2018, Int. J. Digit. Earth.

Environmental Information Systems: Paving the Path for Digitally Facilitated Water Management (Water 4.0)

Olaf Kolditz, Zhenliang Liao, Lars Bilke, 2019, Engineering.

Urban flood risk assessment and analysis with a 3D visualization method coupling the PP-PSO algorithm and building data.

Zhenliang Liao, Wenchong Tian, Jiang Wu, 2020, Journal of environmental management.

An optimization of artificial neural network model for predicting chlorophyll dynamics

Zhenliang Liao, Jin Zhang, Wenchong Tian, 2017 .

A 3D dynamic visualization method coupled with an urban drainage model

Zhenliang Liao, Wenchong Tian, Xin Wang, 2019, Journal of Hydrology.

Statistical comparison between SARIMA and ANN’s performance for surface water quality time series prediction

Wenchong Tian, Z. Liao, Xuan Wang, 2021, Environmental Science and Pollution Research.

Towards coordinated and robust real-time control: a decentralized approach for combined sewer overflow and urban flooding reduction based on multi-agent reinforcement learning.

Wenchong Tian, Z. Liao, Zhiyu Zhang, 2022, Water research.

An integrated assessment of urban flooding mitigation strategies for robust decision making

Jin Zhang, Hao Chen, Zhenliang Liao, 2017, Environ. Model. Softw..

State Selection and Cost Estimation for Deep Reinforcement Learning-Based Real-Time Control of Urban Drainage System

Wenchong Tian, Z. Liao, K. Xin, 2023, Water.

Flooding mitigation through safe & trustworthy reinforcement learning

Wenchong Tian, Z. Liao, K. Xin, 2023, Journal of Hydrology.

Responses to the letter on “Transfer learning for neural network model in Chlorophyll-a dynamics prediction”

Zhenliang Liao, Wenchong Tian, Xuan Wang, 2020, Environmental Science and Pollution Research.

Analysis of Carbon Emission Efficiency in the Yellow River Basin in China: Spatiotemporal Differences and Influencing Factors

Z. Liao, Hui Sun, Jiao Wang, 2023, Sustainability.

Improving the interpretability of deep reinforcement learning in urban drainage system operation.

Wenchong Tian, Z. Liao, K. Xin, 2023, Water research.

Flooding and Overflow Mitigation through a Model-free Deep Reinforcement Learning based on Koopman Emulators of Urban Drainage System

Z. Liao, Hao Wu, K. Xin, 2021 .

Enhancing interpretability and generalizability of deep learning-based emulator in three-dimensional lake hydrodynamics using Koopman operator and transfer learning: Demonstrated on the example of lake Zurich.

D. Bouffard, Wenchong Tian, Z. Liao, 2023, Water research.

The Degradation of Sulfamethoxazole via the Fe2+/Ultraviolet/Sodium Percarbonate Advanced Oxidation Process: Performance, Mechanism, and Back-Propagate–Artificial Neural Network Prediction Model

Z. Liao, Ju-xiang Chen, Caiqiong Dai, 2024, Water.

Chinese Water Systems: Volume 2: Managing Water Resources for Urban Catchments: Chaohu

Olaf Kolditz, Zhenliang Liao, Sebastian Bauer, 2019, Terrestrial Environmental Sciences.

The Use of Attention-Enhanced CNN-LSTM Models for Multi-Indicator and Time-Series Predictions of Surface Water Quality

Z. Liao, Xuan Wang, Zhiyu Zhang, 2024, Water Resources Management.