Assessment of Criticality in Water Distribution Networks via Complex Network Theory

Processes, Journal Year: 2025, Volume and Issue: 13(2), P. 408 - 408

Published: Feb. 4, 2025

Water distribution networks (WDNs), which are responsible for delivering water of adequate quantity and quality, vulnerable to threats such as leaks, pipe breaks, contaminant intrusions. Hence, it is important identify critical network elements develop more assertive maintenance strategies systems. This paper aims perform a risk assessment on leaks breaks support the identification in supply To this end, complex theory (CNT) applied an alternative conventional approaches that rely multiple hydraulic simulations. Metrics robustness, redundancy, centrality, connectivity used analyze graphs representing WDNs. Failures modeled using simulations evaluate their impact parameters pressure flow. CNT metrics then applied, including shortest path calculations between sources demand vertices assess importance, vertex centrality node influence network. The results compared with outcomes CNT-based analyses. Multi-criteria analysis employed determine asset priority, considering failures associated impacts system. highlight novel approach shifts focus from state-based assessments topology-driven analysis, reducing uncertainties inherent models.

Language: Английский

---

Multi-Agent Systems and Complex Networks: Review and Applications in Systems Engineering

Processes, Journal Year: 2020, Volume and Issue: 8(3), P. 312 - 312

Published: March 8, 2020

Systems engineering is an ubiquitous discipline of Engineering overlapping industrial, chemical, mechanical, manufacturing, control, software, electrical, and civil engineering. It provides tools for dealing with the complexity dynamics related to optimisation physical, natural, virtual systems management. This paper presents a review how multi-agent complex networks theory are brought together address management problems. The also encompasses current future research directions both theoretical fundamentals applications in industry. made by considering trends such as mesoscale, multiscale, multilayer along state-of-art analysis on network intelligent networks. Critical smart infrastructure, manufacturing processes, supply chain instances topics which this literature highly relevant.

Language: Английский

---

Water Network Partitioning into District Metered Areas: A State-Of-The-Art Review

Water, Journal Year: 2020, Volume and Issue: 12(4), P. 1002 - 1002

Published: April 1, 2020

A water distribution network (WDN) is an indispensable element of civil infrastructure that provides fresh for domestic use, industrial development, and fire-fighting. However, in a large complex network, operation management (O&M) can be challenging. As technical initiative to improve O&M efficiency, the paradigm “divide conquer” divide original WDN into multiple subnetworks. Each subnetwork controlled by boundary pipes installed with gate valves or flow meters control volume entering leaving what are known as district metered areas (DMAs). Many approaches creating DMAs formulated two-phase procedures, clustering sectorizing, called partitioning (WNP) general. To assess benefits drawbacks WDN, we provide comprehensive review various state-of-the-art approaches, which broadly classified as: (1) Clustering algorithms, focus on defining optimal configuration DMAs; (2) sectorization physically decompose selecting installing valves. We also overview emerging problems need studied.

Language: Английский

---

Benchmark Analysis for Robustness of Multi-Scale Urban Road Networks Under Global Disruptions

IEEE Transactions on Intelligent Transportation Systems, Journal Year: 2022, Volume and Issue: 24(12), P. 15344 - 15354

Published: Feb. 16, 2022

To date immunity to disruptions of multi-scale urban road networks (URNs) has not been effectively quantified. This study uses robustness as a meaningful - if partial representation immunity. We propose novel Relative Area Index (RAI) based on traffic assignment theory quantitatively measure the URNs under global capacity degradation due three different types disruptions, which takes into account many realistic characteristics. also compare RAI with weighted betweenness centrality, traditional topological metric robustness. employ six case studies for this comparison. Our analysis shows that is more effective when suffer from disruptions. improved effectiveness achieved because RAI's ability capture effects network characteristics such topology, flow patterns, link capacity, and travel demand. Also, results highlight importance central management method may provide benchmark tool comparing URNs, facilitates understanding improvement planning URNs.

Language: Английский

---

A review of graph and complex network theory in water distribution networks: Mathematical foundation, application and prospects

Water Research, Journal Year: 2024, Volume and Issue: 253, P. 121238 - 121238

Published: Feb. 3, 2024

Language: Английский

---

Topological Placement of Quality Sensors in Water-Distribution Networks without the Recourse to Hydraulic Modeling

Journal of Water Resources Planning and Management, Journal Year: 2020, Volume and Issue: 146(6)

Published: March 20, 2020

The detection of contaminant intrusion into a water-distribution network (WDN) is difficult issue due to uncertainty related the type injected contaminant, source location, and time. placement water quality sensors has received increasing interest in last years, it still represents an open problem great challenge for researchers utilities. Efficient numerical techniques are needed support any contamination warning system (CWS) design. These require well-calibrated hydraulic model WDN deal information, both which often unavailable In addition, as size increases, choice effective sensor becomes computationally intractable problem. This paper introduces methodology utilities design CWS without use but just exploiting knowledge topology WDN. To ensure complete coverage network, method relies on priori clustering installation at most central nodes each cluster, selected according different topological centrality metrics. procedure tested benchmark real serving town close Naples, Italy. solutions obtained with criteria terms time, likelihood, redundancy, population exposed through ingestion.

Language: Английский

---

Automatic Multiscale Approach for Water Networks Partitioning into Dynamic District Metered Areas

Water Resources Management, Journal Year: 2020, Volume and Issue: 34(2), P. 835 - 848

Published: Jan. 1, 2020

Language: Английский

---

Resilience evaluation for water distribution system based on partial nodes’ hydraulic information

Water Research, Journal Year: 2023, Volume and Issue: 241, P. 120148 - 120148

Published: May 30, 2023

Language: Английский

---

The Impact of Large-Scale Water Diversion Projects on the Water Supply Network: A Case Study in Southwest China

Water, Journal Year: 2024, Volume and Issue: 16(2), P. 357 - 357

Published: Jan. 21, 2024

The uneven spatial and temporal distribution of water resources has consistently been one the most significant limiting factors for social development in many regions. Furthermore, with intensification climate change, this inequality is progressively widening, posing a critical challenge to sustainable human societies. construction large-scale projects become crucial means address contradictions between supply demand. Thus, evaluating functional aspects source network structures systematically planning layout engineering measures scientifically reasonable manner are pressing issues that require urgent attention current research efforts. Addressing this, our study takes Erhai Lake basin surrounding areas southwest China as area combines landscape ecology analysis theory methods propose method into account both structure node characteristics. Based on methodology, we analyze connectivity characteristics networks region under (2020) future (2035) scenarios. results show there were 215 nodes 216 links 2020; implementation series conservancy projects, planned 2035 will increase by 122 163 links, regional be significantly improved. Also, identify some key network, have obvious decentralization compared 2020. And, based degradation analysis, find measures, resilience strengthened 2035, stronger risk tolerance. This extends quantitative representation characteristics, which can provide useful reference optimization.

Language: Английский

---

Combining clustering and regularised neural network for burst detection and localization and flow/pressure sensor placement in water distribution networks

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 63, P. 105473 - 105473

Published: May 20, 2024

This paper proposes a novel methodology for simultaneously addressing design of burst detection/localization machine learning algorithm and flow/pressure sensor placement in water distribution networks (WDNs). A preliminary spectral clustering is performed defining suitable WDN partitioning, order to carry out localization at cluster level reduce the computational burden. grouped regularization approach used define most flow pressure placement, inter intra clusters, respectively, train neural network classification model, while explicitly considering cost data redundancy. Several (one time, any node) demand scenarios are simulated, time window 30 days, accounting spatial/temporal uncertainties hydraulic behaviour. The applied real-world Italy, pre-clustered four detection areas, showing outstanding test accuracy small (80 % / on average 86.55 %), especially moderate (100 98.43 %) large 96.18 entities, even when relying very reduced number sensors (just five meters located boundary pipes between areas).

Language: Английский

---