Article
Engineering, Multidisciplinary
Aniket N. Sharma, Shilpa R. Dongre, Rajesh Gupta, Prerna Pandey, Neeraj Dhanraj Bokde
Summary: This study proposes a method for detecting clusters in a water distribution network and reducing costs by utilizing existing valves as much as possible. The findings suggest that the system with existing valves performs better in terms of cost and network performance compared to a system without existing valves.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2022)
Article
Environmental Sciences
Federico Spizzo, Giovanni Venaruzzo, Matteo Nicolini, Daniele Goi
Summary: Water Distribution Network Partitioning (WDNP) is an effective strategy to improve network management by dividing the existing water distribution network (WDN) into smaller and more homogeneous District Metered Areas (DMAs). The partitioning can be achieved physically by closing pipes or virtually by installing flow meters. Both methods have advantages and disadvantages in terms of network performance and investment cost. This study presents an optimization approach using complex network theory and genetic algorithms (GA) to determine the optimal DMA configuration in terms of cost and network performance.
Article
Engineering, Chemical
Oscar T. Vegas Nino, Fernando Martinez Alzamora, Velitchko G. Tzatchkov
Summary: This paper introduces two new methodologies for water supply system decentralization through distribution network sectorization, implemented in a freely available software tool online. The results show that these methods outperform other proposed methodologies in the literature for decentralizing water supply systems.
Article
Multidisciplinary Sciences
Minglei Fu, Kezhen Rong, Yangyang Huang, Ming Zhang, Lejing Zheng, Jianfeng Zheng, Mayadah W. Falah, Zaher Mundher Yaseen
Summary: This study developed a new method combining a graph neural network to optimize water distribution systems management and respond to emergencies by integrating water network partitioning and dynamic district metered areas.
SCIENTIFIC REPORTS
(2022)
Article
Construction & Building Technology
Samuele Spedaletti, Mose Rossi, Gabriele Comodi, Luca Cioccolanti, Danilo Salvi, Matteo Lorenzetti
Summary: This study successfully implemented a comprehensive approach to reduce water losses in a Water Distribution Network in Osimo, Italy, utilizing the DMA method. By monitoring flow rates, calibrating hydraulic models, and installing smart meters, a 12.5% reduction in water losses was achieved, resulting in energy and cost savings.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Green & Sustainable Science & Technology
Taehyeon Kim, Yoojin Oh, Jayong Koo, Doguen Yoo
Summary: This study proposes a methodology for determining and prioritizing water quality-oriented Priority Control District Metered Areas (PCDMAs). Using evaluation criteria and indicators, based on GIS and the analytic hierarchy process, the study shows that indicators of water quality complaints and the existence of vulnerable facilities are important criteria for determining water quality-oriented PCMDAs. The proposed methodology can be used as a decision-making tool to improve the accuracy and reliability of water distribution network operation and management (O&M).
Article
Environmental Sciences
Jezabel D. Bianchotti, Melina Denardi, Mario Castro-Gama, Gabriel D. Puccini
Summary: This research addresses the optimal design of water distribution network sectorization by introducing a two-stage approach and applying it to two real case studies with optimization of two performance indices to achieve similar demands among DMAs. The results show that loss of resilience performs better than other specific performance criteria in terms of pressure uniformity and demand similarity.
Article
Environmental Sciences
Hua Zhou, Youfei Liu, Huaqi Yao, Tingchao Yu, Yu Shao
Summary: In recent years, District Metered Area (DMA) has become a major development trend in water leakage control for its significant value in active leakage control and pressure management. This study evaluates two DMA partitioning methods (Scheme A and B) and compares their performances in terms of economy, water quality, and leakage control. It finds that Scheme A is more economical, while Scheme B performs better in terms of water quality and leakage control.
Article
Engineering, Civil
Junren Tian, Zhihong Long, ZiPeng Zhu, Gang Xu, Weiping Cheng
Summary: This paper presents a multilevel partitioning method using freely configurable strategies suitable for multiobjective situations such as allocation of water sources, pressure regulation, and flow measurement. The method relies on two strategies and flexibly configures strategies and constraints to provide a solution for partitioning large water distribution networks.
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2022)
Article
Mathematics, Applied
Bruno M. Brentan, Silvia Carpitella, Joaquin Izquierdo, Edevar Luvizotto, Gustavo Meirelles
Summary: The design of district metered areas (DMA) in potable water supply systems is crucial for water utilities, involving considerations of cost, equipment installation, and network optimization. Using multi-objective optimization methods and decision support techniques can effectively support DMA design decisions.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2022)
Article
Environmental Sciences
Xuan Khoa Bui, Malvin S. Marlim, Doosun Kang
Summary: This paper proposes an approach for the optimal design of DMAs in a WDN through the MCDA framework, which, by coupling the SOM and CSA models, can create homologous and dynamic DMA layouts capable of adapting to water demand variability.
Article
Engineering, Multidisciplinary
Yu Shao, Jia Liu, Huaqi Yao, Tuqiao Zhang, Iran Lima E. Neto, Tingchao Yu, Shipeng Chu
Summary: This study presents a novel methodology that combines an improved hybrid community detection algorithm and combinatorial optimization process for partitioning water distribution networks into district metered areas (DMAs). The methodology utilizes different optimization techniques in the node clustering and partition dividing phases, resulting in more balanced water demand distribution and faster optimal solutions.
ENGINEERING OPTIMIZATION
(2022)
Article
Water Resources
Kezhen Rong, Minglei Fu, Yangyang Huang, Ming Zhang, Lejin Zheng, Jianfeng Zheng, Miklas Scholz, Zaher Mundher Yaseen
Summary: This study proposes an unsupervised clustering method based on a graph neural network for partitioning a water distribution network. The method uses graph attention technology to update node features and a neural network to cluster nodes. The proposed method optimizes the similarity between nodes in each area, balances the total water demand between areas, and calculates the importance of boundary pipes. Experimental results show that the proposed method outperforms traditional clustering methods, reducing location differences (LocDiffs) by 6% and total demand differences (DemDiffs) by 55%.
APPLIED WATER SCIENCE
(2023)
Article
Construction & Building Technology
Xuan Khoa Bui, Doosun Kang
Summary: The functionality of water distribution networks (WDNs) is crucial for the sustainable development of cities and society. This study proposes a new approach that combines the optimal booster pump installation and the design of district metered area (DMA) configuration to optimize operation cost and hydraulic performance. The results show improved hydraulic performance and reduced operation costs compared to traditional pump configurations. This methodology provides a way to select suitable pumping configurations for DMA design and operation in WDNs.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Statistics & Probability
Tianxi Li, Lihua Lei, Sharmodeep Bhattacharyya, Koen Van den Berge, Purnamrita Sarkar, Peter J. Bickel, Elizaveta Levina
Summary: The problem of community detection in networks is usually formulated as finding a single partition of the network into correct number of communities. However, constructing a hierarchical tree of communities is more interpretable and accurate in some cases. A top-down recursive partitioning algorithm can be used to separate nodes into communities by spectral clustering repeatedly, until no further communities are suggested by a stopping rule. This model-free and computationally efficient algorithm outperforms K-way spectral clustering in certain regimes.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
(2022)