This page is intended to capture research using WNTR and will be updated periodically. If you have related software or a publication that you’d like to add to this page, please let us know 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, May). Algorithm for Early Warning System for Contamination in Water Network. In 2019 20th International Carpathian Control Conference (ICCC) (pp. 1-5). IEEE.
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
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).
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.
MMazumder, 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
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.
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.
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
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).
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.
Xing, L., & Sela, L. (2020). Transient simulations in water distribution networks: TSNet python package. Advances in Engineering Software, 149, 102884.