User community

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.

Publications

  • 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.