Designing ecologically-inspired robustness into a water distribution network

Journal of Cleaner Production, Год журнала: 2020, Номер 254, С. 120057 - 120057

Опубликована: Янв. 15, 2020

Язык: Английский

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District metered area design through multicriteria and multiobjective optimization

Mathematical Methods in the Applied Sciences, Год журнала: 2021, Номер 45(6), С. 3254 - 3271

Опубликована: Янв. 11, 2021

The design of district metered areas (DMA) in potable water supply systems is paramount importance for utilities to properly manage their systems. Concomitant main objective, namely, deliver quality consumers, the benefits include leakage reduction and prompt reaction cases natural or malicious contamination events. Given structure a distribution network (WDN), graph theory basis DMA design, clustering algorithms can be applied perform partitioning. However, such sectorization entails number modifications (installing cut‐off valves metering control devices) involving costs operation changes, which have carefully studied optimized. complexity WDNs, optimization usually performed using metaheuristic algorithms. In turn, may single multiple‐objective. this last case, large solutions, frequently integrating Pareto front, produced. decision maker has eventually choose one among them, what tough task. Multicriteria methods support step decision‐making process. paper, addressed by (i) proposing modified k‐means algorithm partitioning, (ii) multiobjective particle swarm suitably place partitioning devices, (iii) fuzzy analytic hierarchy process (FAHP) weight four objective functions considered, (iv) technique order preference similarity ideal solution (TOPSIS) rank solutions decision. This joint approach case well‐known WDN literature, results are discussed.

Язык: Английский

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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, Год журнала: 2024, Номер 63, С. 105473 - 105473

Опубликована: Май 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).

Язык: Английский

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Nodal vulnerability assessment of water distribution networks: An integrated Fuzzy AHP-TOPSIS approach

International Journal of Critical Infrastructure Protection, Год журнала: 2021, Номер 34, С. 100434 - 100434

Опубликована: Апрель 21, 2021

Water Distribution Networks (WDNs) ensure reliable water supply to consumers which depends largely on joint and well-coordinated functioning of all diverse facets components the WDN. Failure a vital component has catastrophic consequences could impair overall performance distribution system. This study presents an integrated Fuzzy AHP-TOPSIS framework that couples selected topological, hydraulic quality parameters holistically assess nodal vulnerability WDNs even under conflicting priority ranking methods considered. Within this framework, we harmonize unique strengths Closeness Centrality, Demand Adjusted Centrality Quality Index accurately characterize demand nodes. The proposed is validated two case studies. results indicate ability rank nodes, differentiate between nodes with same base distinguish sink based quality. indexes presented by cannot be exhaustively explained any original methods, indication provides new information in analysis WDNs. serve as tool for engineers critical scheduling maintenance strategies assessment failure impact networks.

Язык: Английский

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Leveraging Spatio-Temporal Graphs and Knowledge Graphs: Perspectives in the Field of Maritime Transportation

ISPRS International Journal of Geo-Information, Год журнала: 2021, Номер 10(8), С. 541 - 541

Опубликована: Авг. 12, 2021

This paper introduces a prospective study of the potential spatio-temporal graphs (ST-graphs) and knowledge (K-graphs) for modelling geographical phenomena. While integration time within GIS has long been domain major interest, alternative data manipulation approaches derived from graph knowledge-based principles provide many opportunities application domains. We first survey how they have applied to few representative domains date. A comprehensive analysis behind K-graphs, respective representation capabilities is discussed. The perspectives offered by close ST-graphs K-graphs are explored. whole approach illustrated discussed in context maritime transportation.

Язык: Английский

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Multi-criteria method for the realistic placement of water quality sensors on pipes of water distribution systems

Environmental Modelling & Software, Год журнала: 2022, Номер 152, С. 105405 - 105405

Опубликована: Апрель 25, 2022

Язык: Английский

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Seismic resilience evaluation of water distribution systems considering hydraulic and water quality performance

International Journal of Disaster Risk Reduction, Год журнала: 2023, Номер 93, С. 103756 - 103756

Опубликована: Май 20, 2023

Язык: Английский

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GIS-Based Model Parameter Enhancement for Urban Water Utility Networks

Urban Science, Год журнала: 2024, Номер 8(2), С. 35 - 35

Опубликована: Апрель 17, 2024

Water utilities are like arteries for the urban environment and, in order to satisfy water demand, extensive design and operation work applying modeling tools is required. An effective tool can be operated but only if input, such as real-world consumption data, built into system. This study aims present a GIS-based technique align data simplified network topology. investigates four distinct methods, revealing noteworthy outcomes. The geocoding of locations facilitates their seamless integration with model nodes through geospatial methods. Additionally, allocation achieved by delineating influence ranges around each node. When comparing zoning based on street approach arithmetic average benchmark manual range approach, substantial errors appear approximately 190% 230%, respectively. Addressing impracticality method, especially larger networks, this advocates use Thiessen polygons delineate areas. In conclusion, presents holistic aligning topologies enhanced utility modeling.

Язык: Английский

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Hydraulically informed graph theoretic measure of link criticality for the resilience analysis of water distribution networks

Applied Network Science, Год журнала: 2018, Номер 3(1)

Опубликована: Авг. 13, 2018

Water Distribution Networks (WDN) are complex and highly interconnected systems. To maintain operation under failure conditions, WDNs should have built-in resilience based on topological energy redundancy. There various methods for analysing the of either hydraulic models or surrogate network measures; however, not a single universally accepted method exists. Hydraulic modeling disruptive operational scenarios suffer from combinatorial restrictions uncertainties. Methods that rely measures do take into account interactions between bridge this gap, presented work introduces hydraulically informed measure pipe criticality analysis WDNs, called Flow Edge Betweenness Centrality (WFEBC). The WFEBC combines random walk betweenness centrality with (energy) loss principles in pipes. proposed estimation is applied to case study an network. Furthermore, decomposition approach complement facilitate its scalability large networks. described benchmarked against model-based WDN reserve capacity. also assess improvement allowed by implementation dynamically adaptive topology benefits limitations discussed.

Язык: Английский

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A New Optimization Approach for the Least-Cost Design of Water Distribution Networks: Improved Crow Search Algorithm

Water Resources Management, Год журнала: 2019, Номер 33(10), С. 3595 - 3613

Опубликована: Июль 20, 2019

Язык: Английский

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