This page is intended to capture research using WNTR and will be updated periodically. If users have related software or a publication that they would like to add to this page, please let email the contacts or submit a pull request with the update.
Abdel-Mottaleb, N., Ghasemi Saghand, P., Charkhgard, H., & Zhang, Q. (2019). An exact multiobjective optimization approach for evaluating water distribution infrastructure criticality and geospatial interdependence. Water Resources Research, 55(7), 5255-5276.
Antonowicz, A., Bałut, A., Urbaniak, A., & Zakrzewski, P. (2019). Algorithm for Early Warning System for Contamination in Water Network. In 2019 20th International Carpathian Control Conference (ICCC) (pp. 1-5). IEEE.
Antonowicz, A., & Urbaniak, A. (2022). Optimization of the process of restoring the continuity of the WDS based on the matrix and genetic algorithm approach. Bulletin of the Polish Academy of Sciences: Technical Sciences, e141594-e141594.
Bjerke, M. (2019). Leak Detection in Water Distribution Networks using Gated Recurrent Neural Networks, Master’s thesis, Norwegian University of Science and Technology (NTNU)
Bunn, B. B. (2018). An operational model of interdependent water and power distribution infrastructure systems. Naval Postgraduate School, Monterey, CA
Fan, X., Zhang, X., & Yu, X. B. (2021). Machine learning model and strategy for fast and accurate detection of leaks in water supply network. Journal of Infrastructure Preservation and Resilience, 2(1), 1-21.
Han, Q., Eguchi, R., Mehrotra, S., & Venkatasubramanian, N. (2018). Enabling state estimation for fault identification in water distribution systems under large disasters. In 2018 IEEE 37th Symposium on Reliable Distributed Systems (SRDS) (pp. 161-170). IEEE.
Han, Q., Mehrotra, S., & Venkatasubramanian, N. (2019). Aquaeis: Middleware support for event identification in community water infrastructures. In Proceedings of the 20th International Middleware Conference (pp. 293-305).
Huang, H., & Burton, H. V. (2022). Dynamic seismic damage assessment of distributed infrastructure systems using graph neural networks and semi-supervised machine learning. Advances in Engineering Software, 168, 103113.
Iannacone, L., Sharma, N., Tabandeh, A., & Gardoni, P. (2022). Modeling time-varying reliability and resilience of deteriorating infrastructure. Reliability Engineering & System Safety, 217, 108074.
Kammoun, M., Kammoun, A., & Abid, M. (2022). Experiments based comparative evaluations of machine learning techniques for leak detection in water distribution systems. Water Supply, 22(1), 628-642.
Liu, J., & Kang, Y. (2022). Segment-based resilience response and intervention evaluation of water distribution systems. AQUA—Water Infrastructure, Ecosystems and Society, 71(1), 100-119.
Liu, Y., Barrows, C., Macknick, J., & Mauter, M. (2020). Optimization Framework to Assess the Demand Response Capacity of a Water Distribution System. Journal of Water Resources Planning and Management, 146(8), 04020063.
Logan, K. T., Lestakova, M., Thiessen, N., Engels, J. I., & Pelz, P. F. (2021). Water Distribution in a Socio-Technical System: Resilience Assessment for Critical Events Causing Demand Relocation. Water, 13(15), 2062.
Lorenz, I. S., & Pelz, P. F. (2020). Optimal resilience enhancement of water distribution systems. Water, 12(9), 2602.
Marlim, M. S., & Kang, D. (2022). Contaminant Flushing in Water Distribution Networks Incorporating Customer Faucet Control. Sustainability, 14(4), 2249.
Mazumder, R. K., Salman, A. M., Li, Y., & Yu, X. (2019). A Decision-making Framework for Water Distribution Systems using Fuzzy Inference and Centrality Analysis. 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP13, Seoul, South Korea, May 26-30, 2019
Mazumder, R. K., Salman, A. M., & Li, Y. (2020). Post-disaster sequential recovery planning for water distribution systems using topological and hydraulic metrics. Structure and Infrastructure Engineering, 1-16.
Murillo, A., Taormina, R., Tippenhauer, N., & Galelli, S. (2020). Co-Simulating Physical Processes and Network Data for High-Fidelity Cyber-Security Experiments. In Sixth Annual Industrial Control System Security (ICSS) Workshop (pp. 13-20).
Nikolopoulos, D., Moraitis, G., Bouziotas, D., Lykou, A., Karavokiros, G., & Makropoulos, C. (2020). Cyber-physical stress-testing platform for water distribution networks. Journal of Environmental Engineering, 146(7), 04020061.
Nikolopoulos, D., Ostfeld, A., Salomons, E., & Makropoulos, C. (2021). Resilience Assessment of Water Quality Sensor Designs under Cyber-Physical Attacks. Water, 13(5), 647.
Nikolopoulos, D., Kossieris, P., Tsoukalas, I., & Makropoulos, C. (2022). Stress-testing framework for urban water systems: A source to tap approach for stochastic resilience assessment. Water, 14(2), 154.
Nikolopoulos, D., & Makropoulos, C. (2022). Stress-testing water distribution networks for cyber-physical attacks on water quality. Urban Water Journal, 19(3), 256-270.
Nyahora, P. P., Babel, M. S., Ferras, D., & Emen, A. (2020). Multi-objective optimization for improving equity and reliability in intermittent water supply systems. Water Supply, 20(5), 1592-1603.
Pagani, A., Wei, Z., Silva, R., & Guo, W. (2020). Neural Network Approximation of Graph Fourier Transforms for Sparse Sampling of Networked Flow Dynamics. arXiv preprint arXiv:2002.05508.
Rahimi-Golkhandan, A., Aslani, B., & Mohebbi, S. (2022). Predictive resilience of interdependent water and transportation infrastructures: A sociotechnical approach. Socio-Economic Planning Sciences, 80, 101166.
Randeniya, A., Radhakrishnan, M., Sirisena, T. A. J. G., Maish, I., & Pathirana, A. (2022). Equity–performance trade-off in water rationing regimes with domestic storage. Water Supply, 22(5), 4781-4797.
Sharma, N., Tabandeh, A., & Gardoni, P. (2019). Recovery optimization of interdependent infrastructure: a multi-scale approach. 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP13
Sharma, N., Tabandeh, A., & Gardoni, P. (2020). Regional resilience analysis: A multiscale approach to optimize the resilience of interdependent infrastructure. Computer‐Aided Civil and Infrastructure Engineering, 35(12), 1315-1330.
Tabandeh, S. (2018). Societal risk and resilience analysis: A multi-scale approach to model the dynamics of infrastructure-social systems (Doctoral dissertation, University of Illinois at Urbana-Champaign).
Tabandeh, A., Sharma, N., & Gardoni, P. (2022). Uncertainty propagation in risk and resilience analysis of hierarchical systems. Reliability Engineering & System Safety, 219, 108208.
Tomar, A., Burton, H. V., Mosleh, A., & Yun Lee, J. (2020). Hindcasting the Functional Loss and Restoration of the Napa Water System Following the 2014 Earthquake Using Discrete-Event Simulation. Journal of Infrastructure Systems, 26(4), 04020035.
Vrachimis, S. G., & Kyriakou, M. S. (2018). LeakDB: A benchmark dataset for leakage diagnosis in water distribution networks. In WDSA/CCWI Joint Conference Proceedings (Vol. 1).
Vrachimis, S. G., Eliades, D. G., & Polycarpou, M. M. (2018). Leak detection in water distribution systems using hydraulic interval state estimation. In 2018 IEEE Conference on Control Technology and Applications (CCTA) (pp. 565-570). IEEE.
Wille, D. (2019). Simulation-optimization for operational resilience of interdependent water-power systems in the US Virgin Islands (Doctoral dissertation, Monterey, CA; Naval Postgraduate School).
Xing, L., & Sela, L. (2020). Transient simulations in water distribution networks: TSNet python package. Advances in Engineering Software, 149, 102884.