User community#

WNTR has an active user community, which includes water utilities, universities, and government agencies. This page is intended to highlight contributors and collaborators, along with software and publications that use WNTR. The page also includes publications from the core development team.

Note

This page will be updated periodically. If you have content that you would like to add to this page, email the contacts listed on the WNTR GitHub webpage (USEPA/WNTR) or submit a pull request with the update.

Contributors#

WNTR welcomes software contributions from the community! See the WNTR Contributors page for a complete list of people that have contributed code and documentation to WNTR. Many people have also contributed to WNTR by posting issues and feature requests on the WNTR Issues page.

The following individuals have contributed to the development of WNTR, through direct collaboration with the EPA and Sandia, or by providing feedback and peer review of software and documentation.

  • Eun Jeong Cha, University of Illinois

  • Mikhail Chester, Arizona State University

  • James Cooper, Arcadis

  • Michael Duczynski, U.S. Army Corps of Engineers, Engineer Research and Development Center

  • Daniel Eisenberg, Naval Postgraduate School

  • Sudhir Kshirsagar, Global Quality Corp

  • Carl Laird, Purdue University (now at Carnegie Mellon University)

  • Yeongho Lee, Greater Cincinnati Water Works

  • Lu Liu, Rice University (now at Iowa State University)

  • Erin Lonney, MIT Lincoln Laboratory

  • Samuel Rivera, Oregon State University (now at CSA Group)

  • Lina Sela, University of Texas at Austin

  • Riccardo Taormina, Delft University of Technology

  • Meghna Thomas, Pacific Northwest National Laboratory

Software#

WNTR is used within several externally developed software packages, which further extend capabilities for water distribution systems analysis. The following list includes software packages that use WNTR. See the WNTR GitHub Dependency Graph to find additional repositories and packages that use WNTR.

Publications#

WNTR has been used in numerous publications to analyze water distribution systems. The following publications include journal articles, conference papers, Master’s Theses, and PhD Dissertations that use WNTR.

Note

Citations were pulled from Google Scholar in BibTeX format and might contain inaccurate or missing content, or might not render correctly.

Publications that use WNTR

Citations listed in alphabetical order.

  1. Omar Abdelazeem and David Meyer. Modelling consumers in intermittent water supplies: a comparative review of epanet-based methods. 2024.

  2. Omar Abdelazeem and David DJ Meyer. Modeling intermittent water supply in swmm: a critical review with reproducible recommendations and a python package. Water Resources Research, 61(8):e2024WR039551, 2025.

  3. Jordana Alaggio, Daniel Barros, Bruno Brentan, Silvia Carpitella, Manuel Herrera, and Joaquín Izquierdo. Assessment of criticality in water distribution networks via complex network theory. Processes, 13(2):408, 2025.

  4. Abdulaziz H Alsanad, Abdulrahman A Bin Mahmoud, and Saad I Aljadhai. An optimal upgrading framework for water distribution systems operation. Water, 16(12):1737, 2024.

  5. Federico Amato, Antonino Pagano, Gabriele Restuccia, and Ilenia Tinnirello. Centrality-aware machine learning for water network pressure prediction.

  6. Srijith Balakrishnan and Beatrice Cassottana. Infrarisk: an open-source simulation platform for resilience analysis in interconnected power–water–transport networks. Sustainable Cities and Society, 83:103963, 2022.

  7. Daniel Barros, Ariele Zanfei, Andrea Menapace, Gustavo Meirelles, Manuel Herrera, and Bruno Brentan. Leak detection and localization in water distribution systems via multilayer networks. Water Research X, 26:100280, 2025.

  8. Vittorio Bauduin and Salvatore Cuomo. Reconstruction of hydraulic states in water distribution systems via radial basis function neural networks. 2026.

  9. Taler S Bixler, M Robin Collins, and Weiwei Mo. The life cycle human health, economic, and environmental implications of drinking water emergency responses.

  10. Kirk L Bonney, Katherine A Klise, Jason W Poff, Samuel Rivera, Ian Searles, and Mikhail Chester. Data-informed synthetic networks of water distribution systems for resilience analysis in puerto rico. Water, 16(23):3356, 2024.

  11. Rafał Brodziak, Jędrzej Bylka, Jakub Drewnowski, and Tomasz Mróz. A planning support system for a sustainable water supply network: a case study of multicriteria analysis supported by gis. Sustainability, 18(6):3028, 2026.

  12. Jonathan B Burkhardt, Benjamen Burkhart, and Feng Shang. Modeling nicotine-induced chlorine loss in drinking water using updated epanet-msx. Journal of Environmental Engineering, 149(12):04023086, 2023.

  13. Jonathan B Burkhardt, John Minor, Feng Shang, and William E Platten III. Pressure dependent analysis in premise plumbing system modeling. AWWA water science, 5(3):e1344, 2023.

  14. João Caetano, Nelson Carriço, Bruno Brentan, Andrea Menapace, and Dídia Covas. Topology-aware neural networks for abnormal consumption detection and location in water distribution networks. Water Resources Research, 62(3):e2025WR041195, 2026.

  15. Joana Carneiro, Dália Loureiro, Marta Cabral, and Dídia Covas. Resilience assessment insights based on the energy balance in drinking water networks. Urban Water Journal, pages 1–21, 2026.

  16. Joana Carneiro, Dália Loureiro, and Dídia Covas. The use of resilience and performance metrics to support decision making in drinking water systems. 2024.

  17. Carmen Cheh, Justin Albrethsen, Zhen Wei Ng, Binbin Chen, Xin Lou, Zaki Masood, and David KY Yau. Water pump operation optimization under dynamic market and consumer behaviour. In Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 335–346. 2024.

  18. Lei Chen, Tao Tao, Li He, Xiao Zhou, Pijun Duan, Zhiyu Shao, Haiyuan Ma, and Hongxiang Chai. Real-time and accurate burst localization in water distribution networks with graph-based deep learning. Journal of Hydrology, pages 135477, 2026.

  19. Lucinda-Joi Chu-Ketterer, Regan Murray, Patrick Hassett, Josh Kogan, Katherine Klise, and Terranna Haxton. Performance and resilience analysis of a new york drinking water system to localized and system-wide emergencies. Journal of water resources planning and management, 149(1):05022015, 2023.

  20. Aladin Crnkić and Zinaid Kapić. Simulation-based optimization of capital greenhouse gas emissions in water distribution systems using particle swarm optimization. In IOP Conference Series: Materials Science and Engineering, volume 1339, 012009. IOP Publishing, 2025.

  21. Nhu Do, Angela Marchi, and Patrick Hayde. Accelerating water distribution systems planning and design with generative artificial intelligence models. 2026.

  22. Zohre Fakhari and Azadeh Ahmadi. Integrating the agent-based approach with hydraulic analysis of the water distribution network to a realistic micro-scale simulation of end-users in gaz city, iran. Journal of Hydrology: Regional Studies, 62:102805, 2025.

  23. Pablo Gallo, Cristian Camilo Gomez Cortes, Elena Torfs, Ingmar Nopens, Saba Daneshgar, and David Fernandes del Pozo. Accurate and efficient junction mixing prediction in water distribution networks via surrogate modelling. Journal of Water Process Engineering, 77:108505, 2025.

  24. Fabrizio Giuliano, Antonino Pagano, Domenico Garlisi, Tiziana Cattai, and Francesca Cuomo. Sustainable application-aware gateway deployment for massive iot networks. Internet of Things, pages 101940, 2026.

  25. Cristian Gomez, Kimberly Solon, Pieter Jan Haest, Mark Morley, Ingmar Nopens, and Elena Torfs. Enhancing accuracy and efficiency in calibration of drinking water distribution networks through evolutionary artificial neural networks and expert systems. Journal of Hydroinformatics, 27(10):1554–1578, 2025.

  26. Santiago Gómez, Camilo Salcedo, Laura González, and Juan Saldarriaga. Fractal dimension as a criterion for the optimal design and operation of water distribution systems. Water, 17(9):1318, 2025.

  27. David Hart, J Santiago Rodriguez, Jonathan Burkhardt, Brian Borchers, Carl Laird, Regan Murray, Katherine Klise, and Terranna Haxton. Quantifying hydraulic and water quality uncertainty to inform sampling of drinking water distribution systems. Journal of Water Resources Planning and Management, 145(1):04018084, 2019.

  28. Terranna Haxton, Katherine A Klise, Daniel Laky, Regan Murray, Carl D Laird, and Jonathan B Burkhardt. Evaluating manual sampling locations for regulatory and emergency response. Journal of water resources planning and management, 147(12):04021081, 2021.

  29. Katharina Henn and Peter F Pelz. Comparison of centralised and decentralised optimal operation in urban water distribution networks. 2025.

  30. Joseph Hogge, Katherine Klise, David Hart, and Terra Haxton. Geospatial capabilities to couple hazard and social vulnerability data in water distribution criticality analysis. Journal of Water Resources Planning and Management, 151(2):05024016, 2025.

  31. Yuehua Huang, Bailin Luo, Qi Wang, Qianqian Zhou, and Zhiwei Zhao. A global resilience analysis-based benchmark framework for comparing reliability surrogate measures of water distribution systems. Sustainability, 16(19):8684, 2024.

  32. Yuehua Huang, Bailin Luo, Qianqian Zhou, Qi Wang, and Zhiwei Zhao. Novel surrogate measures for improving water distribution systems' resilience via pipe diameter uniformity enhancement. Water Resources Research, 61(2):e2024WR038237, 2025.

  33. Oluwabunmi Iwakin, Nazia Raza, and Faegheh Moazeni. An uncertainty-aware leakage detection framework based on monte carlo dropout neural network. In World Environmental and Water Resources Congress 2026, 742–754. 2026.

  34. Priyanshu Jain and Manne Janga Reddy. Strategic sensor placement using centrality metrics and machine learning techniques for leak localization in water distribution networks. Water Supply, 26(2):98–119, 2026.

  35. Uthman Abiola Kareem. A design and analysis of computer experiments approach to water distribution network seismic rehabilitation optimization. 2025.

  36. Ryul Kim and Young Hwan Choi. Multi-leakage detection using graph attention networks and restoration prioritization in water distribution systems. Computer Modeling in Engineering & Sciences, 2026.

  37. Katherine Klise, Rachel Moglen, Joseph Hogge, Daniel Eisenberg, and Terranna Haxton. Resilience analysis of potable water service after power outages in the us virgin islands. Journal of water resources planning and management, 148(12):05022010, 2022.

  38. Katherine A Klise, Kirk Lane Bonney, Mikhail Chester, Jason W Poff, Samuel Rivera, Ian Searles, and Ryan M Sparks. Developing data-driven synthetic infrastructure models for resilience analysis. Technical Report, Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States), 2024.

  39. Katherine A Klise, Michael Bynum, Dylan Moriarty, and Regan Murray. A software framework for assessing the resilience of drinking water systems to disasters with an example earthquake case study. Environmental modelling & software, 95:420–431, 2017.

  40. Katherine A Klise, Regan Murray, and Terra Haxton. An overview of the water network tool for resilience (wntr). 2018.

  41. Jin Li, Kleanthis Malialis, and Marios M Polycarpou. Resilient class-incremental learning: on the interplay of drifting, unlabeled and imbalanced data streams. Artificial Intelligence Science and Engineering, 2(1):49–65, 2026.

  42. Weinan Li, Ram K Mazumder, Emilio Bastidas-Arteaga, and Yue Li. Seismic performance evaluation of corroded water distribution systems considering firefighting. Journal of Water Resources Planning and Management, 150(2):04023075, 2024.

  43. Xiujuan Li, Yisu Zhou, Chenxi Hu, Yong Zhang, Jiangxia Wang, and Jingqing Liu. A dynamic flowmeter-monitoring path-partitioning strategy for real-time demand estimation in water distribution systems. Water, 17(5):703, 2025.

  44. Zhiwei Li, Shuaikang Zhao, Li Zhang, Bin Sun, and Feifei Wang. Leak detection and localization in water distribution networks using the mixture of experts model. Physics of Fluids, 2025.

  45. Xiaoli Liu, Mingyuan Zhang, and Haixing Liu. Resilience-based multi-objective optimization of failure response strategies in water distribution systems. Reliability Engineering & System Safety, pages 111883, 2025.

  46. Pierluigi Locatell, Tiziana Cattai, Pietro Spadaccino, Marco Casalbore, and Francesca Cuomo. Twinai: a digital twin and graph reinforcement learning framework for real-time management of water distribution networks. Internet of Things, pages 101911, 2026.

  47. Kevin T Logan, Daniele Inturri, Kai Cui, Heinz Koeppl, and Peter F Pelz. Major-minor mean field control for adaptive control of urban water distribution systems. Journal of Water Resources Planning and Management, 152(2):04025073, 2026.

  48. Stanley Madiziyire, Jacqueline Stagner, Rupp Carriveau, Nihar Biswas, Katelynn Johnson, and Aaron Fisk. Evaluation of response measures for water cutoffs using pressure driven analysis simulations. Water Research, pages 124737, 2025.

  49. Ram Krishna Mazumder and Elaina J Sutley. A multi-step framework for measuring post-earthquake recovery: integrating essential infrastructure system's serviceability in building functionality. International Journal of Disaster Risk Reduction, 114:104929, 2024.

  50. Hamidreza Mohabbat and David Meyer. Household behaviour and energy loss in intermittent water supply networks. 2024.

  51. Takudzwa Mzembegwa and Clement N Nyirenda. Real-time pipe burst localization in water distribution networks using change point detection algorithms. In 2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC), 1–8. IEEE, 2024.

  52. Hessam Najafi and Jinhui Jeanne Huang. Reliable anomaly detection in water systems using the self-adjusting, label-free, data-driven algorithm (salda). Journal of Water Process Engineering, 76:108207, 2025.

  53. Dionysios Nikolopoulos, Georgios Moraitis, Dimitrios Bouziotas, Archontia Lykou, George Karavokiros, and Christos Makropoulos. Cyber-physical stress-testing platform for water distribution networks. Journal of Environmental Engineering, 146(7):04020061, 2020.

  54. Omar Nofal, Nathanael Rosenheim, Jayant Patil, Xiangnan Zhou, Sabarethinam Kameshwar, John W van de Lindt, and Leonardo Duenas-Osorio. Community-level approach for a socio-physical flood post-hazard functionality assessment. In ASCE Inspire 2023, pages 339–348. 2023.

  55. Omar M Nofal, Nathanael Rosenheim, Sabarethinam Kameshwar, Jayant Patil, Xiangnan Zhou, John W van de Lindt, Leonardo Duenas-Osorio, Eun Jeong Cha, Amin Endrami, Elaina Sutley, and others. Methodology for interdependent population–building–infrastructure posthazard functionality assessment for communities. Journal of Structural Engineering, 151(5):04025048, 2025.

  56. Sean O’Toole and Hoda Mehrpouyan. Towards cyber-physical representation and cyber-resilience against attack and failure within a hydraulic network simulation toolkit. In 2024 IEEE Security and Privacy Workshops (SPW), 246–252. IEEE, 2024.

  57. Zaira Pagan-Cajigas, Seth Guikema, Rosalia Otaduy-Ramirez, Vanessa Woolley, Kaleb Smith, Tongxing Hu, and Thomas Chen. Water outage predictions for natural hazards using synthetic water distribution systems. Risk Analysis, 45(8):2116–2131, 2025.

  58. Antonino Pagano, Domenico Garlisi, Fabrizio Giuliano, Tiziana Cattai, and Francesca Cuomo. Application-aware lorawan gateway placement in massive iot water distribution networks. In 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), 475–480. IEEE, 2024.

  59. Antonino Pagano, Domenico Garlisi, Fabrizio Giuliano, Tiziana Cattai, Redemptor Jr Laceda Taloma, and Francesca Cuomo. Introducing and evaluating swi-feed: a smart water iot framework designed for large-scale contexts. Computer Communications, 237:108146, 2025.

  60. Francesca Peretti, Andrea Menapace, Ariele Zanfei, Rudi Bertagnolli, and Maurizio Righetti. Optimisation of the water-energy nexus in irrigation distribution systems. In 19th Computing and Control for the Water Industry Conference 2023, 1–4. De Montfort University, 2023.

  61. Jason Poff, Daniel T Cox, and Samuel Rivera. Dynamic evaluation of evacuation shelter location impact on water access for a seismic event. Available at SSRN 6660206.

  62. JW Poff, K Bonney, M Chester, KA Klise, and S Rivera. Predicting large-scale systematic missing pipe attributes in water distribution networks. Water Resources Research, 61(12):e2025WR040281, 2025.

  63. Maria Polese, Gabriella Tocchi, Maria Fabrizia Clemente, Bruna Di Palma, Marco Gaetani d'Aragona, Daniela Molinari, G Treglia, Luisa Lavalle, Cristiana Bragalli, Lorenzo Carmelo Zingali, and others. Virtual testbed for multi-risk assessment: defining returnvilles to support the analysis and testing of drm and cca solutions in realistic urban contexts. 2026.

  64. Jose S Rodriguez, Michael Bynum, C Laird, DB Hart, KA Klise, J Burkhardt, and T Haxton. Optimal sampling locations to reduce uncertainty in contamination extent in water distribution systems. Journal of infrastructure systems, 27(3):04021026, 2021.

  65. Luis A Rodriguez, Abheek Chatterjee, and Astrid Layton. Ecological decentralization for improving the resilient design of urban water distribution networks. In Conference on Systems Engineering Research, 587–601. Springer, 2023.

  66. Kelley Ruehl, Katherine A Klise, Megan Hinks, and Jeff Grasberger. Framework for assessing impact of wave-powered desalination on resilience of coastal communities. Journal of Marine Science and Engineering, 13(2):219, 2025.

  67. Juan Saldarriaga, Jessica Bohorquez, Camilo Salcedo, Alexander Garzón, David Celeita, Laura Enriquez, Juana Herrán, Andrés Ariza, María Alejandra González, Santiago Gómez, and others. Phased methodology for the optimal rehabilitation of a network with an intermittent water supply based on hydraulic criteria. Journal of Water Resources Planning and Management, 151(6):04025013, 2025.

  68. Rahul Satish, Mohsen Hajibabaei, Aun Dastgir, Martin Oberascher, and Robert Sitzenfrei. A graph-based method for identifying critical pipe failure combinations in water distribution networks. Water Supply, 24(7):2353–2366, 2024.

  69. Rahul Satish, Ulrich Kastlunger, Mohsen Hajibabaei, Martin Oberascher, and Robert Sitzenfrei. Water management resilience analysis tool–a software for criticality analysis in water distribution networks. Water Supply, 25(7):1161–1175, 2025.

  70. Rahul Satish, Mohammed Rajabi, Mohsen Hajibabaei, Amin Minaei, Martin Oberascher, and Robert Sitzenfrei. Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in water distribution networks. Journal of Hydroinformatics, 27(5):845–857, 2025.

  71. Bernhard Jonathan Sattler, Siew Ann Cheong, Andrea Tundis, Jonas Joerin, and Peter F Pelz. Effects of heavy-tailed demand model uncertainty on water distribution system simulation. 2025.

  72. Sumaya Sharveen and Mohsen Shahandashti. Identifying pareto-optimal seismic rehabilitation strategies for water distribution networks considering decision maker’s risk attitudes. Natural Hazards, 120(13):11743–11764, 2024.

  73. Guoxin Shi, Xianpeng Wang, Jingjing Zhang, and Xinlei Gao. An intelligent algorithm for the optimal deployment of water network monitoring sensors based on automatic labelling and graph neural network. Information, 16(10):837, 2025.

  74. Guoxin Shi, Xianpeng Wang, Jingjing Zhang, and Xinlei Gao. High precision detection pipe bursts based on small sample diagnostic method. Sensors, 25(11):3431, 2025.

  75. Anushka Singh, Shobhana Singh, and Abhilasha Maheshwari. A proof-of-concept study towards developing digital twins for operational excellence in large-scale water distribution networks. Urban Water Journal, 22(5):507–525, 2025.

  76. Maria Stergiadi, Farshid Mahmoudabadi, Andrea Menapace, Anton Dignös, Johann Gamper, and Maurizio Righetti. Detection and classification of anomalies in water distribution systems. Engineering Proceedings, 135(1):5, 2026.

  77. Anna Stuhlmacher, Seth Guikema, and Johanna L Mathieu. Assessing power and water network resilience when water pumps provide frequency regulation. IEEE Transactions on Power Systems, 40(5):3833–3845, 2025.

  78. Jan Marius Stürmer, Marius Graumann, and Tobias Koch. Demonstrating automated generation of simulation models from engineering diagrams. In 2023 International Conference on Machine Learning and Applications (ICMLA), 1156–1162. IEEE, 2023.

  79. Andrés Tello, Huy Truong, Alexander Lazovik, and Victoria Degeler. Large-scale multipurpose benchmark datasets for assessing data-driven deep learning approaches for water distribution networks. Engineering Proceedings, 69(1):50, 2024.

  80. Huy Truong, Andrés Tello, Alexander Lazovik, and Victoria Degeler. Ditec-wdn: a large-scale dataset of hydraulic scenarios across multiple water distribution networks. Scientific Data, 12(1):1733, 2025.

  81. Danielle M Van Lanen. Applications of fragile curves to water distribution networks. 2023.

  82. Kevin Vargas, Michael Waak, Franz Tscheikner-Gratl, and Marius Rokstad. Tool to model the potential risk of legionella growth in premise plumbing systems. Engineering Proceedings, 69(1):162, 2024.

  83. K Veeramani and Shweta Rathi. Resiliency evaluation for the water distribution system considering earthquake scenarios for indian case studies. AQUA—Water Infrastructure, Ecosystems and Society, 74(7):435–450, 2025.

  84. Brent Vizanko, Leonid Kadinski, Avi Ostfeld, Emily Berglund, and Christopher Cummings. Coupling agent-based modeling with water distribution system models to simulate social distancing and water infrastructure performance during covid-19. 2024.

  85. Brent Vizanko, Leonid Kadinski, Avi Ostfeld, and Emily Zechman Berglund. Social distancing, water demand changes, and quality of drinking water during the covid-19 pandemic. Sustainable Cities and Society, 102:105210, 2024.

  86. Brent Vizanko, Cade Karrenberg, Jorge E Pesantez, and Emily Zechman Berglund. A genetic algorithm framework for rehabilitation of intermittent networks: application for the battle of the intermittent water supply system network. Journal of Water Resources Planning and Management, 151(9):04025040, 2025.

  87. Brent Vizanko, Shimon Komarovsky, Avi Ostfeld, and Emily Zechman Berglund. Agent-based modeling to assess equitable access to affordable and clean water: intra-system water quality and tap water avoidance. Environmental Research: Infrastructure and Sustainability, 6(1):015001, 2026.

  88. Jian Wang, Guangtao Fu, and Dragan Savic. Epanet-agentic: a multi-agent system for natural language-controlled simulations of water distribution networks. Water Research, pages 125433, 2026.

  89. Fengli Xu, Jun Zhang, Chen Gao, Jie Feng, and Yong Li. Urban generative intelligence (ugi): a foundational platform for agents in embodied city environment. arXiv preprint arXiv:2312.11813, 2023.

  90. KaiQin Xu, Zhipeng Cai, Yang Tao, Zixuan Zheng, Mengfan Lin, Feinan Liu, Jing Luo, and Gongduan Fan. Application of neural network models integrating network topology and mechanistic knowledge for burst localization in water distribution networks. Water Research, pages 126050, 2026.

  91. Elias Zauscher and Emily Zechman Berglund. Pipenetgen: a methodology for generating synthetic water distribution network models. Water Research, pages 125735, 2026.

Development Team#

EPA and Sandia started collaborating on research related to water security in 2003, with a Sandia funded Laboratory Directed Research and Development (LDRD) project focused on computational methods to detect chem-bio attacks. The collaboration has since been funded under an Interagency Agreement between EPA and Sandia. Several open-source software packages have been developed by the team, including:

The following publications were published as part of the EPA/Sandia Interagency Agreement or related projects. Additional funding for WNTR has been provided by the Department of Energy (DOE), Environmental Security Technology Certification Program (ESTCP), and Sandia’s LDRD Resilient Energy Systems (RES) Mission Campaign.

EPA/Sandia Publications

Citations listed in reverse chronological order.

  1. J. W. Poff, K. Bonney, M. Chester, K. A. Klise, and S. Rivera. Predicting large‐scale systematic missing pipe attributes in water distribution networks. Water Resources Research, 61(12):e2025WR040281, 2025.

  2. J. Hogge, K. Klise, D. Hart, and T. Haxton. Geospatial capabilities to couple hazard and social vulnerability data in water distribution criticality analysis. Journal of Water Resources Planning and Management, 151(2):05024016, 2025.

  3. K. Ruehl, K. A. Klise, M. Hinks, and J. Grasberger. Framework for assessing impact of wave-powered desalination on resilience of coastal communities. Journal of Marine Science and Engineering, 13(2):219, 2025.

  4. K. L. Bonney, K. A. Klise, J. W. Poff, S. Rivera, I. Searles, and M. Chester. Data-informed synthetic networks of water distribution systems for resilience analysis in Puerto Rico. Water, 16(23):3356, 2024.

  5. K. A. Klise, K. L. Bonney, M. Chester, J. W. Poff, S. Rivera, I. Searles, and R. M. Sparks. Developing data-driven synthetic infrastructure models for resilience analysis. Technical Report SAND-2024-13989R, Sandia National Laboratories, Albuquerque, NM, 2024.

  6. K. Klise, D. Hart, M. Bynum, J. Hogge, T. Haxton, R. Murray, and J. Burkhardt. Water Network Tool for Resilience (WNTR) User Manual Version 1.0. Technical Report EPA/600/B-23/098, U.S. Environmental Protection Agency, Washington, DC, 2023.

  7. K. A. Klise. Increasing resilience with wastewater reuse. Nature Water, 1(12):1002–1003, 2023.

  8. L. J. Chu-Ketterer, R. Murray, P. Hassett, J. Kogan, K. Klise, and T. Haxton. Performance and resilience analysis of a New York drinking water system to localized and system-wide emergencies. Journal of Water Resources Planning and Management, 149(1):05022015, 2023.

  9. R. L. Moglen, J. Barth, S. Gupta, E. Kawai, K. Klise, and B. D. Leibowicz. A nexus approach to infrastructure resilience planning under uncertainty. Reliability Engineering and System Safety, 230:108931, 2023.

  10. J. B. Burkhardt, J. Minor, F. Shang, and W. E. Platten III. Pressure dependent analysis in premise plumbing system modeling. AWWA Water Science, 5(3):e1344, 2023.

  11. K. Klise, R. Moglen, J. Hogge, D. Eisenberg, and T. Haxton. Resilience analysis of potable water service after power outages in the US Virgin Islands. Journal of Water Resources Planning and Management, 148(12):05022010, 2022.

  12. T. Haxton, K. A. Klise, D. Laky, R. Murray, C. D. Laird, and J. B. Burkhardt. Evaluating manual sampling locations for regulatory and emergency response. Journal of Water Resources Planning and Management, 147(12):04021081, 2021.

  13. J. S. Rodriguez, M. Bynum, C. Laird, D. B. Hart, K. A. Klise, J. Burkhardt, and T. Haxton. Optimal sampling locations to reduce uncertainty in contamination extent in water distribution systems. Journal of Infrastructure Systems, 27(3):04021026, 2021.

  14. A. Seth, G. A. Hackebeil, T. Haxton, R. Murray, C. D. Laird, and K. A. Klise. Evaluation of chlorine booster station placement for water security. In Computer Aided Chemical Engineering, volume 47, 463–468. 2019.

  15. D. Hart, J. S. Rodriguez, J. Burkhardt, B. Borchers, C. Laird, R. Murray, K. A. Klise, and T. Haxton. Quantifying hydraulic and water quality uncertainty to inform sampling of drinking water distribution systems. Journal of Water Resources Planning and Management, 145(1):04018084, 2019.

  16. K. A. Klise, R. Murray, and T. Haxton. An overview of the Water Network Tool for Resilience (WNTR). In Proceedings of the 1st International WDSA/CCWI Joint Conference, 075. Kingston, Ontario, Canada, July 2018. 8 pages.

  17. K. A. Klise, M. Bynum, D. Moriarty, and R. Murray. A software framework for assessing the resilience of drinking water systems to disasters with an example earthquake case study. Environmental Modelling and Software, 95:420–431, 2017.

  18. A. Seth, G. A. Hackebeil, K. A. Klise, T. Haxton, R. Murray, and C. D. Laird. Efficient reduction of optimal disinfectant booster station placement formulations for security of large-scale water distribution networks. Engineering Optimization, 49(8):1281–1298, 2017.

  19. K. A. Klise, B. Nicholson, and C. D. Laird. Sensor placement optimization using chama. Technical Report SAND-2017-11472, Sandia National Laboratories, Albuquerque, NM, 2017.

  20. A. Seth, K. Klise, J. Siirola, T. Haxton, and C. Laird. Testing contamination source identification methods for water distribution networks. Journal of Water Resources Planning and Management, pages 04016001, 2016. doi:10.1061/(ASCE)WR.1943-5452.0000619.

  21. U.S. Environmental Protection Agency. Systems measures of water distribution system resilience. Technical Report EPA/600/R-14/383, U.S. Environmental Protection Agency, Washington, DC, 2015.

  22. A. Mann, G. Hackebeil, and C. Laird. Explicit water quality model generation and rapid multiscenario simulation. Journal of Water Resources Planning and Management, pages 666–677, 2014. doi:10.1061/(ASCE)WR.1943-5452.0000278.

  23. K. Klise, C. Phillips, and R. Janke. Two-tiered sensor placement for large water distribution network models. Journal of Infrastructure Systems, pages 465–473, 2013. doi:10.1061/(ASCE)IS.1943-555X.0000156.

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  25. R. Murray, T. Haxton, W. E. Hart, and C. A. Phillips. Real-world case studies for sensor network design of drinking water contamination warning systems. In R. M. Clark, S. Hakim, and A. Ostfeld, editors, Handbook of Water and Wastewater Systems Protection, Protecting Critical Infrastructure, pages 319–348. Springer, New York, 2011.

  26. W. Hart, R. Murray, and C. Phillips. Minimize impact or maximize benefit: the role of objective function in approximately optimizing sensor placement for municipal water distribution networks. In World Environmental and Water Resources Congress 2011, 330–339. 2011.

  27. M. Koch and S. McKenna. Distributed sensor fusion in water quality event detection. Journal of Water Resources Planning and Management, pages 10–19, 2011. doi:10.1061/(ASCE)WR.1943-5452.0000094.

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  29. D. Hart, W. Hart, S. McKenna, R. Murray, and C. Phillips. Integrating event detection system operating characteristics into sensor placement optimization. In Water Distribution Systems Analysis 2010, 367–378. 2011.

  30. R. Murray, T. Haxton, R. Janke, W. E. Hart, J. W. Berry, and C. A. Phillips. Sensor network design for contamination warning systems: a compendium of research results and case studies using the TEVA-SPOT software. Technical Report EPA/600/R-09/141, U.S. Environmental Protection Agency, Office of Research and Development, National Homeland Security Research Center, Cincinnati, OH, 2010.

  31. C. D. Jaeger, M. M. Hightower, and T. Torres. Evolution of sandia's risk assessment methodology for water and wastewater utilities (ram-w). Technical Report SAND2010-0521C, Sandia National Laboratories, Albuquerque, NM, 2010.

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  34. J. Berry, R. Carr, W. Hart, V. Leung, C. Phillips, and J. Watson. Designing contamination warning systems for municipal water networks using imperfect sensors. Journal of Water Resources Planning and Management, 135(4):253–263, 2009. doi:10.1061/(ASCE)0733-9496(2009)135:4(253).

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  37. E. Vugrin, S. A. McKenna, and D. Hart. Trajectory clustering approach for reducing water quality event false alarms. In World Environmental & Water Resources Congress 2009. Kansas City, MO, 2009.

  38. A. Ostfeld, J. Uber, E. Salomons, J. Berry, W. Hart, C. Phillips, J. Watson, G. Dorini, P. Jonkergouw, Z. Kapelan, F. di Pierro, S. Khu, D. Savic, D. Eliades, M. Polycarpou, S. Ghimire, B. Barkdoll, R. Gueli, J. Huang, E. McBean, W. James, A. Krause, J. Leskovec, S. Isovitsch, J. Xu, C. Guestrin, J. VanBriesen, M. Small, P. Fischbeck, A. Preis, M. Propato, O. Piller, G. Trachtman, Z. Wu, and T. Walski. The battle of the water sensor networks (bwsn): a design challenge for engineers and algorithms. Journal of Water Resources Planning and Management, 6:556–568, 2008.

  39. W. E. Hart, J. W. Berry, E. Boman, C. A. Phillips, L. A. Riesen, and J. P. Watson. Limited-memory techniques for sensor placement in water distribution networks. In Learning and Intelligent Optimization (LION) Conference Proceedings, volume 5313, 125–137. Springer, 2008.

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  42. S. A. McKenna, M. Wilson, and K. A. Klise. Detecting changes in water quality data. American Water Works Association Journal, 100(1):74–85, 2008.

  43. P. Romero-Gomez, C. Ho, and C. Choi. Mixing at cross junctions in water distribution systems. i: numerical study. Journal of Water Resources Planning and Management, 134(3):285–294, 2008. doi:10.1061/(ASCE)0733-9496(2008)134:3(285).

  44. R. Austin, B. Waanders, S. McKenna, and C. Choi. Mixing at cross junctions in water distribution systems. ii: experimental study. Journal of Water Resources Planning and Management, 134(3):295–302, 2008. doi:10.1061/(ASCE)0733-9496(2008)134:3(295).

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  46. D. B. Hart, S. A. McKenna, K. A. Klise, V. A. Cruz, and M. P. Wilson. CANARY: a water quality event detection algorithm development and testing tool. In Proceedings of ASCE World Environmental and Water Resources Congress 2007. Tampa, FL, 2007. ASCE.

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  48. R. D. Carr, H. J. Greenberg, W. E. Hart, G. Konjevod, E. Lauer, H. Lin, T. Morrison, and C. A. Phillips. Robust optimization of contaminant sensor placement for community water systems. Mathematical Programming, 107(1):337–356, 2006.

  49. C. Laird, L. Biegler, and B. van Bloemen Waanders. Mixed-integer approach for obtaining unique solutions in source inversion of water networks. Journal of Water Resources Planning and Management, 242(4):242–251, 2006.

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  51. S. McKenna, K. Klise, and M. Wilson. Testing water quality change detection algorithms. In Water Distribution Systems Analysis Symposium 2006, 1–15. 2006.

  52. K. A. Klise and S. A. McKenna. Water quality change detection: multivariate algorithms. In Proc. SPIE: Optics and Photonics in Global Homeland Security II, volume 6203, 62030J. May 9 2006. doi:10.1117/12.665019.

  53. S. McKenna, D. Hart, and L. Yarrington. Impact of sensor detection limits on protecting water distribution systems from contamination events. Journal of Water Resources Planning and Management, 132(4):305–309, 2006. doi:10.1061/(ASCE)0733-9496(2006)132:4(305).

  54. C. Laird, L. Biegler, B. van Bloemen Waanders, and R. Bartlett. Contamination source determination for water networks. Journal of Water Resources Planning and Management, 125(2):125–134, 2005.