图信号技术

YearTitleJournalAuthors
2026Physics-Informed Graph Inference and Prediction for Global State Estimation in Water Distribution NetworksWater ResearchMan, Y., Zhou, X., Tian, W., Yuan, R., Su, K., & Yuan, Z.
2024Network Embedding: The Bridge Between Water Distribution Network Hydraulics and Machine LearningWater ResearchZhou, X., Guo, S., Xin, K., Tang, Z., Chu, X., & Fu, G.
2024Leveraging multi-level correlations for imputing monitoring data in water supply systems using graph signal sampling theoryWater Research XZhou, X., Man, Y., LIU S, et al.
2024An all-purpose method for optimal pressure sensor placement in water distribution networks based on graph signal analysisWater ResearchZhou, X., WAN X, LIU S, et al.
2023A convenient and stable graph-based pressure estimation methodology for water distribution networks: Development and field validationWater ResearchZhou, X., ZHANG J, GUO S, et al.
2022Bridging hydraulics and graph signal processing: A new perspective to estimate water distribution network pressuresWater ResearchZhou, X., Liu, S., Xu, W., Xin, K., Wu, Y., & Meng, F.

机器学习&深度学习工程应用

YearTitleJournalAuthors
2026Multi-Target Water Demand Forecasting with Graph Neural Networks: A Comparative StudyWater Resources ManagementYacan Man, Xiao Zhou, Rui Yuan, Kuizu Su & Shuming Liu
2025Improving Multi-Step Water Demand Forecasting Performance: Static, Past, Future, and Periodic Feature ImportanceJournal of Water Process EngineeringRui Yuan, Yacan Man, Kuizu Su, Xiao Zhou & Shuming Liu
2024Industrial water withdrawal prediction using multi-head attention encoder modelAQUA - Water Infrastructure, Ecosystems and SocietyYUAN R, SU K, MAN Y, et al.
2024皖南农村地区需水量特征分析及预测模型研究给水排水刘怀利, 徐浩, 曼亚灿, 等.
2019Deep learning identifies accurate burst locations in water distribution networksWater ResearchZHOU X, TANG Z, XU W, et al.

水力模型

YearTitleJournalAuthors
2022Sensitivity-Oriented Clustering Method for Parameter Grouping in Water Network Model CalibrationWater Resources ResearchCHEN X, ZHOU X, XIN K, et al.
2022Maintaining the long-term accuracy of water distribution models with data assimilation methods: A comparative studyWater ResearchZHOU X, GUO S, XIN K, et al.
2018Self-Adaptive Calibration of Real-Time Demand and Roughness of Water Distribution SystemsWater Resources ResearchZHOU X, XU W, XIN K, et al.

其他

YearTitleJournalAuthors
2023供水管网漏损评定的二元水平衡分析理论探析给水排水周啸, 刘书明, 张娟, 等.
2022典型居民水表计量误差曲线拟合及性能分析给水排水周啸, 刘书明, 王春艳