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Xiaoqin Li, Yannan Jia, Dan Zhang, Jifu Yang & Zheng Chen. (2023) Model application for monitoring and locating leakages in rural area water pipeline networks. Water International 48:3, pages 309-321.
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Babak Aslani, Shima Mohebbi & Hana Axthelm. (2021) Predictive analytics for water main breaks using spatiotemporal data. Urban Water Journal 18:6, pages 433-448.
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Carlos Bonilla, Bruno Brentan, Idel Montalvo, David Ayala-Cabrera & Joaquín Izquierdo. (2023) Digitalization of Water Distribution Systems in Small Cities, a Tool for Verification and Hydraulic Analysis: A Case Study of Pamplona, Colombia. Water 15:21, pages 3824.
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Jibin Li, Xuan Li, Huan Liu, Li Gao, Weitong Wang, Zhenyao Wang, Ting Zhou & Qilin Wang. (2023) Climate change impacts on wastewater infrastructure: A systematic review and typological adaptation strategy. Water Research 242, pages 120282.
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Tayyab Ahmad, Ibrahim Abdelfadeel Shaban & Tarek Zayed. (2023) A review of climatic impacts on water main deterioration. Urban Climate 49, pages 101552.
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Ibrahim Abdelfadeel Shaban, Abdelrahman E.E. Eltoukhy & Tarek Zayed. (2023) Systematic and scientometric analyses of predictors for modelling water pipes deterioration. Automation in Construction 149, pages 104710.
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Atefeh Delnaz, Fuzhan Nasiri & S. Samuel Li. (2023) Asset management analytics for urban water mains: a literature review. Environmental Systems Research 12:1.
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Alicia Robles-Velasco, Pablo Cortés, Jesús Muñuzuri & Bernard De Baets. (2023) Prediction of pipe failures in water supply networks for longer time periods through multi-label classification. Expert Systems with Applications 213, pages 119050.
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Bernard Fong, Mashor Housh, Guan Y. Hong & Jiann Ming Wang. 2023. Reference Module in Earth Systems and Environmental Sciences. Reference Module in Earth Systems and Environmental Sciences.
Estelle Feider‐Blazer, Thomas Ying‐Jeh Chen, Sepideh Yazdekhasti & Craig Michael Daly. (2023)
Statistical Modeling of Lead Service Line Locations Using
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Widyo Nugroho, Christiono Utomo & Nur Iriawan. (2022) A Bayesian Pipe Failure Prediction for Optimizing Pipe Renewal Time in Water Distribution Networks. Infrastructures 7:10, pages 136.
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Brett Snider & Edward A. McBean. (2022) Assessing the Impact of Pipe Rehabilitation on Decreasing Watermain Break Rates Using Random Survival Forest Models. Journal of Water Resources Planning and Management 148:8.
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Yumo Chen & Ying Yang. (2022) A Multivariate Statistical Model of Water Leakage in Urban Water Supply Networks Based on Random Matrix Theory. Mathematical Problems in Engineering 2022, pages 1-11.
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Neal Andrew Barton, Stephen Henry Hallett, Simon Richard Jude & Trung Hieu Tran. (2022) Predicting the risk of pipe failure using gradient boosted decision trees and weighted risk analysis. npj Clean Water 5:1.
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Thomas Ying-Jeh ChenGreta VladeanuSepideh YazdekhastiCraig Michael Daly. (2022) Performance Evaluation of Pipe Break Machine Learning Models Using Datasets from Multiple Utilities. Journal of Infrastructure Systems 28:2.
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Xiaoqin Li, Xiaomei Wu, Mingzhuang Sun, Shengqiao Yang & Weikun Song. (2022) A Novel Intelligent Leakage Monitoring-Warning System for Sustainable Rural Drinking Water Supply. Sustainability 14:10, pages 6079.
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N. A. Barton, S. H. Hallett, S. R. Jude & T. H. Tran. (2022) An evolution of statistical pipe failure models for drinking water networks: a targeted review. Water Supply 22:4, pages 3784-3813.
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Jiajia Wu, Donghui MaWei Wang. (2022) Leakage Identification in Water Distribution Networks Based on XGBoost Algorithm. Journal of Water Resources Planning and Management 148:3.
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Brett Snider & Edward A. McBean. (2021) Combining Machine Learning and Survival Statistics to Predict Remaining Service Life of Watermains. Journal of Infrastructure Systems 27:3.
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Andrés Ortega-Ballesteros, Francisco Manzano-Agugliaro & Alberto-Jesus Perea-Moreno. (2021) Water Utilities Challenges: A Bibliometric Analysis. Sustainability 13:14, pages 7726.
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