Advanced search
Publication Cover
Urban Water Journal Volume 13, 2016 - Issue 3
Submit an article Journal homepage
974
Views
70
CrossRef citations to date
0
Altmetric
Research articles

Water distribution systems flow monitoring and anomalous event detection: A practical approach

Dália LoureiroUrban Water Unit, National Civil Engineering Laboratory, Lisbon, PortugalCorrespondence[email protected]
,
Conceição AmadoDepartment of Mathematics and CEMAT, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
,
André MartinsUrban Water Unit, National Civil Engineering Laboratory, Lisbon, Portugal
,
Diogo VitorinoAddition Lda., Lisbon, Portugal
,
Aisha MamadeUrban Water Unit, National Civil Engineering Laboratory, Lisbon, Portugal
&
Sérgio Teixeira CoelhoUrban Water Unit, National Civil Engineering Laboratory, Lisbon, Portugal
Pages 242-252 | Received 21 Feb 2014, Accepted 01 Oct 2014, Published online: 07 Jan 2015

Citations (70)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (8)

Willian Muniz Do Nascimento & Luiz Gomes-Jr. (2023) Enabling low-cost automatic water leakage detection: a semi-supervised, autoML-based approach. Urban Water Journal 20:10, pages 1471-1481.
Read now
Meng Xue, Alvin Wei Ze Chew, Jianping Cai, Jocelyn Pok, Rony Kalfarisi & Zheng Yi Wu. (2022) Improving near real-time anomaly event detection and classification with trend change detection for smart water grid operation management. Urban Water Journal 19:6, pages 547-557.
Read now
Conrad B. Truettner & Brian D. Barkdoll. (2022) Climate-change-induced energy and water use increase in water distribution systems. Urban Water Journal 19:5, pages 492-498.
Read now
Iman Moslehi, Mohammadreza Jalili-Ghazizadeh & Ehsan Yousefi-Khoshqalb. (2021) Developing a framework for leakage target setting in water distribution networks from an economic perspective. Structure and Infrastructure Engineering 17:6, pages 821-837.
Read now
Chi Zhang, Martin F. Lambert, Mark L. Stephens, Jinzhe Gong & Benjamin S. Cazzolato. (2020) Pipe crack early warning for burst prevention by permanent acoustic noise level monitoring in smart water networks. Urban Water Journal 17:9, pages 827-837.
Read now
S. Alvisi, C. Luciani & M. Franchini. (2019) Using water consumption smart metering for water loss assessment in a DMA: a case study. Urban Water Journal 16:1, pages 77-83.
Read now
Jonas Kjeld Kirstein, Klavs Høgh, Martin Rygaard & Morten Borup. (2019) A semi-automated approach to validation and error diagnostics of water network data. Urban Water Journal 16:1, pages 1-10.
Read now
Yipeng Wu & Shuming Liu. (2017) A review of data-driven approaches for burst detection in water distribution systems. Urban Water Journal 14:9, pages 972-983.
Read now

Articles from other publishers (62)

Minglei Fu, Qi Zhang, Kezhen Rong, Zaher Mundher Yaseen, Lejin Zheng & Jianfeng Zheng. (2024) Integrated dynamic multi-threshold pattern recognition with graph attention long short-term neural memory network for water distribution network losses prediction: An automated expert system. Engineering Applications of Artificial Intelligence 127, pages 107277.
Crossref
Ran Yan & Jeanne Jinhui Huang. (2023) Confident learning-based Gaussian mixture model for leakage detection in water distribution networks. Water Research 247, pages 120773.
Crossref
Bruno Brentan, Silvia Carpitella, Ariele Zanfei, Rui Gabriel Souza, Andrea Menapace, Gustavo Meirelles, Maurizio Righetti & Joaquín Izquierdo. (2023) Multi‐criteria analysis applied to ranking rehabilitation strategies of water distribution networks. Mathematical Methods in the Applied Sciences.
Crossref
Daniele Ugo Leonzio, Paolo Bestagini, Marco Marcon, Gian Paolo Quarta & Stefano Tubaro. (2023) Robust Water Leak Detection and Localization with Graph Signal Processing. Robust Water Leak Detection and Localization with Graph Signal Processing.
Hoese Michel Tornyeviadzi, Hadi Mohammed & Razak Seidu. (2023) Robust night flow analysis in water distribution networks: A BiLSTM deep autoencoder approach. Advanced Engineering Informatics 58, pages 102135.
Crossref
Abolfazl Baghbani, Amin Soltani, Katayoon Kiany & Firas Daghistani. (2023) Predicting the Strength Performance of Hydrated-Lime Activated Rice Husk Ash-Treated Soil Using Two Grey-Box Machine Learning Models. Geotechnics 3:3, pages 894-920.
Crossref
Daniele Ugo Leonzio, Paolo Bestagini, Marco Marcon, Gian Paolo Quarta & Stefano Tubaro. (2023) Water Leak Detection and Localization Using Convolutional Autoencoders. Water Leak Detection and Localization Using Convolutional Autoencoders.
Mohammad Mahdi Rajabi, Pooya Komeilian, Xi Wan & Raziyeh Farmani. (2023) Leak detection and localization in water distribution networks using conditional deep convolutional generative adversarial networks. Water Research 238, pages 120012.
Crossref
Waid Nimri, Yong Wang, Ziang Zhang, Chengbin Deng & Kristofor Sellstrom. (2023) Data-driven approaches and model-based methods for detecting and locating leaks in water distribution systems: a literature review. Neural Computing and Applications 35:16, pages 11611-11623.
Crossref
Zheng Yi Wu, Alvin Chew, Xue Meng, Jianping Cai, Jocelyn Pok, Rony Kalfarisi, Kah Cheong Lai, Sock Fang Hew & Jia Jie Wong. (2023) High Fidelity Digital Twin-Based Anomaly Detection and Localization for Smart Water Grid Operation Management. Sustainable Cities and Society 91, pages 104446.
Crossref
Bruno Ferreira, André Antunes, Nelson Carriço & Dídia Covas. (2023) Comparison of model-based techniques for pipe burst location in water distribution networks. IOP Conference Series: Earth and Environmental Science 1136:1, pages 012039.
Crossref
Frederick T. Jones & Brian D. Barkdoll. (2022) Viability of Pressure-Reducing Valves for Leak Reduction in Water Distribution Systems. Water Conservation Science and Engineering 7:4, pages 657-670.
Crossref
Cai Jian, Jinliang GaoYongpeng Xu. (2022) Anomaly Detection and Classification in Water Distribution Networks Integrated with Hourly Nodal Water Demand Forecasting Models and Feature Extraction Technique. Journal of Water Resources Planning and Management 148:11.
Crossref
Ariele Zanfei, Andrea Menapace, Bruno M. Brentan, Maurizio Righetti & Manuel Herrera. (2022) Novel approach for burst detection in water distribution systems based on graph neural networks. Sustainable Cities and Society 86, pages 104090.
Crossref
Zukang Hu, Wenlong Chen, Helong Wang, Pei Tian & Dingtao Shen. (2022) Integrated data-driven framework for anomaly detection and early warning in water distribution system. Journal of Cleaner Production 373, pages 133977.
Crossref
Irene Marzola, Stefano Alvisi & Marco Franchini. (2022) A Comparison of Model-Based Methods for Leakage Localization in Water Distribution Systems. Water Resources Management 36:14, pages 5711-5727.
Crossref
Kyoung Won Min, Taewook KimSeungyub LeeYoung Hwan ChoiJoong Hoon Kim. (2022) Detecting and Localizing Leakages in Water Distribution Systems Using a Two-Phase Model. Journal of Water Resources Planning and Management 148:10.
Crossref
Xi Wan, Parisa Khorsandi Kuhanestani, Raziyeh FarmaniEdward Keedwell. (2022) Literature Review of Data Analytics for Leak Detection in Water Distribution Networks: A Focus on Pressure and Flow Smart Sensors. Journal of Water Resources Planning and Management 148:10.
Crossref
Bruno Ferreira, Nelson Carriço, Raquel Barreira, Tiago Dias & Dídia Covas. (2022) Flowrate Time Series Processing in Engineering Tools for Water Distribution Networks. Water Resources Research 58:6.
Crossref
Bruno Ferreira, André Antunes, Nelson Carriço & Dídia Covas. (2022) Multi-objective optimization of pressure sensor location for burst detection and network calibration. Computers & Chemical Engineering 162, pages 107826.
Crossref
Jonathan B. Burkhardt, Debabrata Sahoo, Benjamin Hammond, Michael Long, Terranna Haxton & Regan Murray. (2022) Near real-time event detection for watershed monitoring with CANARY. Environmental Science: Advances 1:2, pages 170-181.
Crossref
Jaivik Mankad, Balasubramaniam Natarajan & Babji Srinivasan. (2022) Integrated approach for optimal sensor placement and state estimation: A case study on water distribution networks. ISA Transactions 123, pages 272-285.
Crossref
Yang Wei, Kim Fung Tsang, Chung Kit Wu, Hao Wang & Yucheng Liu. (2022) A Multi-Leak Identification Scheme Using Multi-Classification for Water Distribution Infrastructure. Applied Sciences 12:4, pages 2128.
Crossref
Xiangqiu Zhang, Zhihong Long, Tian Yao, Hua Zhou, Tingchao Yu & Yongchao Zhou. (2022) Real-time burst detection based on multiple features of pressure data. Water Supply 22:2, pages 1474-1491.
Crossref
R. S. Brito, M. C. Almeida & A. Ribeiro. (2022) Enhancing hydraulic data reliability in sewers. Water Practice and Technology 17:1, pages 431-444.
Crossref
Z. Y. Wu, A. Chew, X. Meng, J. Cai, J. Pok, R. Kalfarisi, K. C. Lai, S. F. Hew & J. J. Wong. (2022) Data-driven and model-based framework for smart water grid anomaly detection and localization. Journal of Water Supply: Research and Technology-Aqua 71:1, pages 31-41.
Crossref
M. J. Booysen & S. Gerber. (2021) Water scarcity and poverty: The lasting impact of a maintenance campaign at South African schools across the affluence divide. Water Science and Technology 84:10-11, pages 3246-3256.
Crossref
Zukang Hu, Beiqing Chen, Wenlong Chen, Debao Tan & Dingtao Shen. (2021) Review of model-based and data-driven approaches for leak detection and location in water distribution systems. Water Supply 21:7, pages 3282-3306.
Crossref
Zheng Yi WuYekun He. (2021) Time Series Data Decomposition-Based Anomaly Detection and Evaluation Framework for Operational Management of Smart Water Grid. Journal of Water Resources Planning and Management 147:9.
Crossref
Chan-Wook Lee & Do-Guen Yoo. (2021) Development of Leakage Detection Model and Its Application for Water Distribution Networks Using RNN-LSTM. Sustainability 13:16, pages 9262.
Crossref
Alkım GÖKÇEN & Bahadır YEŞİL. (2021) Zero Flow Rate Detection of Ultrasonic Water Meter Using Machine Learning Techniques. European Journal of Science and Technology.
Crossref
J. Cassidy, B. Barbosa, M. Damião, P. Ramalho, A. Ganhão, A. Santos & J. Feliciano. (2021) Taking water efficiency to the next level: digital tools to reduce non-revenue water. Journal of Hydroinformatics 23:3, pages 453-465.
Crossref
Marcos Quiñones-Grueiro, Marlon Ares Milián, Maibeth Sánchez Rivero, Antônio J. Silva Neto & Orestes Llanes-Santiago. (2021) Robust leak localization in water distribution networks using computational intelligence. Neurocomputing 438, pages 195-208.
Crossref
Thommas Kevin Sales Flores, Juan Moises Mauricio Villanueva, Heber P. Gomes & Sebastian Y. C. Catunda. (2020) Indirect Feedback Measurement of Flow in a Water Pumping Network Employing Artificial Intelligence. Sensors 21:1, pages 75.
Crossref
Felix Lorenz, Morgan Geldenhuys, Harald Sommer, Frauke Jakobs, Carsten Luring, Volker Skwarek, Ilja Behnke & Lauritz Thamsen. (2020) A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring. A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring.
Eyüp Şişman & Burak Kızılöz. (2020) Trend-risk model for predicting non-revenue water: An application in Turkey. Utilities Policy 67, pages 101137.
Crossref
Andrea Menapace, Ariele Zanfei, Manuel Felicetti, Diego Avesani, Maurizio Righetti & Rudy Gargano. (2020) Burst Detection in Water Distribution Systems: The Issue of Dataset Collection. Applied Sciences 10:22, pages 8219.
Crossref
Muhammad Riaz, Ayesha Razzaq, Humaira Kalsoom, Dragan Pamučar, Hafiz Muhammad Athar Farid & Yu-Ming Chu. (2020) q-Rung Orthopair Fuzzy Geometric Aggregation Operators Based on Generalized and Group-Generalized Parameters with Application to Water Loss Management. Symmetry 12:8, pages 1236.
Crossref
Roberta Padulano & Giuseppe Del Giudice. (2020) A nonparametric framework for water consumption data cleansing: an application to a smart water network in Naples (Italy). Journal of Hydroinformatics 22:4, pages 666-680.
Crossref
Mehrdad Babazadeh. (2020) LoRa-Based Anomaly Detection Platform: Center and Sensor-Side. IEEE Sensors Journal 20:12, pages 6677-6684.
Crossref
Xiaoting WangGuancheng GuoShuming LiuYipeng WuXiyan XuKate Smith. (2020) Burst Detection in District Metering Areas Using Deep Learning Method. Journal of Water Resources Planning and Management 146:6.
Crossref
Jinane Harmouche & Sriram Narasimhan. (2020) Long-Term Monitoring for Leaks in Water Distribution Networks Using Association Rules Mining. IEEE Transactions on Industrial Informatics 16:1, pages 258-266.
Crossref
Yipeng WuShuming Liu. (2020) Burst Detection by Analyzing Shape Similarity of Time Series Subsequences in District Metering Areas. Journal of Water Resources Planning and Management 146:1.
Crossref
M.J. Booysen, C. Ripunda & M. Visser. (2019) Results from a water-saving maintenance campaign at Cape Town schools in the run-up to Day Zero. Sustainable Cities and Society 50, pages 101639.
Crossref
Shaher H. Zyoud & Daniela Fuchs-Hanusch. (2019) Comparison of Several Decision-Making Techniques: A Case of Water Losses Management in Developing Countries. International Journal of Information Technology & Decision Making 18:05, pages 1551-1578.
Crossref
Irene Fernández García, Daniele Novara & Aonghus Mc Nabola. (2019) A Model for Selecting the Most Cost-Effective Pressure Control Device for More Sustainable Water Supply Networks. Water 11:6, pages 1297.
Crossref
KiJeon Nam, Pouya Ifaei, Sungku Heo, Gahee Rhee, Seungchul Lee & ChangKyoo Yoo. (2019) An Efficient Burst Detection and Isolation Monitoring System for Water Distribution Networks Using Multivariate Statistical Techniques. Sustainability 11:10, pages 2970.
Crossref
Marta Cabral, Dália Loureiro, Conceição Amado, Aisha Mamade & Dídia Covas. (2019) Demand scenario planning approach using regression techniques and application to network sectors in Portugal. Water Policy.
Crossref
Pingjie Huang, Naifu Zhu, Dibo Hou, Jinyu Chen, Yao Xiao, Jie Yu, Guangxin Zhang & Hongjian Zhang. (2018) Real-Time Burst Detection in District Metering Areas in Water Distribution System Based on Patterns of Water Demand with Supervised Learning. Water 10:12, pages 1765.
Crossref
Massoud Tabesh, Abbas Roozbahani, Bardia Roghani, Niousha Rasi Faghihi & Reza Heydarzadeh. (2018) Risk Assessment of Factors Influencing Non-Revenue Water Using Bayesian Networks and Fuzzy Logic. Water Resources Management 32:11, pages 3647-3670.
Crossref
Donghwi JungJoong Hoon Kim. (2018) Using Mechanical Reliability in Multiobjective Optimal Meter Placement for Pipe Burst Detection. Journal of Water Resources Planning and Management 144:7.
Crossref
Oreste Andrisano, Ilaria Bartolini, Paolo Bellavista, Andrea Boeri, Luciano Bononi, Alberto Borghetti, Armando Brath, Giovanni Emanuele Corazza, Antonio Corradi, Stefano de Miranda, Fabio Fava, Luca Foschini, Giovanni Leoni, Danila Longo, Michela Milano, Fabio Napolitano, Carlo Alberto Nucci, Gianni Pasolini, Marco Patella, Tullio Salmon Cinotti, Daniele Tarchi, Francesco Ubertini & Daniele Vigo. (2018) The Need of Multidisciplinary Approaches and Engineering Tools for the Development and Implementation of the Smart City Paradigm. Proceedings of the IEEE 106:4, pages 738-760.
Crossref
Yipeng WuShuming LiuKate SmithXiaoting Wang. (2018) Using Correlation between Data from Multiple Monitoring Sensors to Detect Bursts in Water Distribution Systems. Journal of Water Resources Planning and Management 144:2.
Crossref
T. K. Chan, Cheng Siong Chin & Xionghu Zhong. (2018) Review of Current Technologies and Proposed Intelligent Methodologies for Water Distributed Network Leakage Detection. IEEE Access 6, pages 78846-78867.
Crossref
. 2018. Urban Water Distribution Networks. Urban Water Distribution Networks 285 294 .
Symeon E. Christodoulou, Michalis Fragiadakis, Agathoklis Agathokleous & Savvas Xanthos. 2018. Urban Water Distribution Networks. Urban Water Distribution Networks 227 246 .
Rui Barrela, Conceição Amado, Dália Loureiro & Aisha Mamade. (2017) Data reconstruction of flow time series in water distribution systems – a new method that accommodates multiple seasonality. Journal of Hydroinformatics 19:2, pages 238-250.
Crossref
Symeon E. Christodoulou, Elena Kourti & Agathoklis Agathokleous. (2016) Waterloss Detection in Water Distribution Networks using Wavelet Change-Point Detection. Water Resources Management 31:3, pages 979-994.
Crossref
Marta Cabral, Aisha Mamade, Dália Loureiro, Conceição Amado & Dídia Covas. (2016) Modeling the effect of weather conditions on urban water demand in multiple network areas: a practical approach to improve monthly and seasonal operation. Journal of Water Supply: Research and Technology-Aqua 65:8, pages 612-625.
Crossref
Dália Loureiro, Aisha Mamade, Marta Cabral, Conceição Amado & Dídia Covas. (2016) A Comprehensive Approach for Spatial and Temporal Water Demand Profiling to Improve Management in Network Areas. Water Resources Management 30:10, pages 3443-3457.
Crossref
Shin Je LeeGibaek LeeJung Chul SuhJong Min Lee. (2016) Online Burst Detection and Location of Water Distribution Systems and Its Practical Applications. Journal of Water Resources Planning and Management 142:1.
Crossref
D. Vitorino, D. Loureiro, H. Alegre, S. Coelho & A. Mamade. (2014) In Defense of the Demand Pattern, a Software Approach. Procedia Engineering 89, pages 982-989.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.