Exploring Topological Effects on Water Distribution System Performance Using Graph Theory and Statistical Models

Journal of Water Resources Planning and Management, Journal Year: 2016, Volume and Issue: 143(1)

Published: Sept. 13, 2016

Water distribution system (WDS) pipe networks can vary widely in topological layout. The variations branch and loop combinatorics across large network data sets are ideal for exploring graph-based structural patterns linkages with engineered performance. To facilitate this exploration, a library of 10,001 lattice-like is developed. Each equipped hydraulic, water quality, diurnal demand information extended period simulations. Results show strong correlations exist among graph theory metrics (e.g., geodesic, spectral, combinatorics-based) performance measures maximum hourly unit headloss, average age, chemical concentration). These trends predictions using parametric semiparametric statistical models. Predictive accuracies evident processes that follow diffusion-like behaviors, indicating coupled applications methods may have abilities to characterize WDSs at lower computational analytical costs. Evidence also reveals features from percolation theory, sharp phase transitions WDS certain probabilistic thresholds connectivity. This support future studies on percolation-like transitions.

Language: Английский

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Water Distribution Networks Resilience Analysis: a Comparison between Graph Theory-Based Approaches and Global Resilience Analysis

Water Resources Management, Journal Year: 2019, Volume and Issue: 33(8), P. 2925 - 2940

Published: May 11, 2019

Language: Английский

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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

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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

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Functional connectivity analysis for modeling flow in infrastructure

Reliability Engineering & System Safety, Journal Year: 2024, Volume and Issue: 247, P. 110042 - 110042

Published: Feb. 24, 2024

The performance loss of infrastructure caused by hazards can disrupt economic activities, obstruct emergency responses, and be detrimental to society's well-being recovery. Network analysis methods, including topology-based flow-based are valuable tools for functionality assessment. Topology-based methods capture connectivity patterns network components with relatively low computational costs. However, do not model the flow resources from source facilities consumers. On other hand, computationally intensive but provide information on modeling operational dynamics. This paper introduces a novel hybrid approach, Functional Connectivity Analysis (FCA), comparable assessment efficiency similar introducing flow-related characteristics into topological metrics. approach is illustrated realistic example potable water in Shelby County, Tennessee. Comparing results analysis, FCA shows that high efficiency.

Language: Английский

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Water Distribution System Classification Using System Characteristics and Graph-Theory Metrics

Journal of Water Resources Planning and Management, Journal Year: 2017, Volume and Issue: 143(12)

Published: Oct. 5, 2017

This paper proposes a system-characteristics and graph theory–based water distribution system (WDS) model classification scheme that is based on function topology. Various parameters are examined to determine the most adequate parameter(s) for describing WDS. The applied single hypothetical 25 real systems. primary indicator classify WDS (transmission or networks) length-weighted average pipe diameter. nodal demand histogram of total length each diameter as secondary measures. A new parameter, defined branch index (BI), used further branched network by estimating degree branching within looping second level meshedness coefficient (MC), but only after reduced eliminate nonessential nodes. BI values compared with other system-structure metrics in literature including link density (LD), node (AND), MC, clustering (CC). To end, Pearson correlation coefficients computed across set 26 analysis reveals several graph-theory highly correlated.

Language: Английский

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Network structure classification and features of water distribution systems

Water Resources Research, Journal Year: 2017, Volume and Issue: 53(4), P. 3407 - 3423

Published: March 28, 2017

Abstract The network connectivity structure of water distribution systems (WDSs) represents the domain where hydraulic processes occur, driving emerging behavior such systems, for example with respect to robustness and vulnerability. In complex theory (CNT), a common way classifying is association nodal degree specific probability models, during last decades, researchers classified many real networks using Poisson or Pareto distributions. spite fact that degree‐based classification could play crucial role assess WDS vulnerability, this task not easy because WDSs strongly constrained by spatial characteristics environment they are constructed. consequence these constraints spans very small ranges in hindering reliable standard approach based on distribution. This work investigates 22 WDSs, built different environments, demonstrating generally models distributions well. order overcome problem degree, we define “neighborhood” equal sum degrees nearest topological neighbors (i.e., adjacent nodes). definition consistent single node significant analysis WDSs.

Language: Английский

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Review of the Quantitative Resilience Methods in Water Distribution Networks

Water, Journal Year: 2019, Volume and Issue: 11(6), P. 1189 - 1189

Published: June 7, 2019

Water distribution networks (WDNs) are critical contributors to the social welfare, economic growth, and public health in cities. Under uncertainties that introduced owing climate change, urban development, aging components, interdependent infrastructure, WDN performance must be evaluated using continuously innovative methods data acquisition. Quantitative resilience assessments provide useful information for operators planners, enabling support systems can withstand disasters, recover quickly from outages, adapt uncertain environments. This study reviews contemporary approaches quantifying of WDNs. 1508 journal articles published 1950 2018 identified under systematic review guidelines. 137 references focus on quantitative classified as surrogate measures, simulation methods, network theory approaches, fault detection isolation approaches. identifies capability WDNs describes related terms absorptive, restorative, adaptive capabilities. It also discusses metrics, research progresses, limitations associated with each method. Finally, this indicates challenges quantification should overcome achieving improved future.

Language: Английский

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Resilience in Water Infrastructures: A Review of Challenges and Adoption Strategies

Sustainability, Journal Year: 2021, Volume and Issue: 13(23), P. 12986 - 12986

Published: Nov. 24, 2021

An increase in the number and strength of natural catastrophes experienced over past few decades has accelerated damage sustained by infrastructures. Drinking water wastewater infrastructure systems are critical aspects a healthy environment, their ability to withstand disasters is vital for effective disaster response recovery. Although numerous studies have been conducted determine challenges that render infrastructures, extensive examinations these conducted. The goal this study, therefore, was identify categorize related resilience drinking strategies most effectively minimize unintended consequences. A comprehensive evaluation existing literature conducted, 537 publications were collected. After screening, 222 selected rigorous analysis based on data collection methods other criteria. total fifty-one (51) determined classified, within following five categories: environmental, technical infrastructure, social, organizational, financial economic. then ranked each category according frequency occurrence previous research. results reveal climate change, aging lack capital, population growth, improper maintenance rapid urbanization frequently cited challenges. Next, 30 approaches identified categorized into either preventive or corrective actions, implementation time. findings study will help decision- policymakers properly allocate limited funding enhance robustness infrastructures before, during, after hazards.

Language: Английский

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Resilience and Vulnerability in Urban Water Distribution Networks through Network Theory and Hydraulic Simulation

Procedia Engineering, Journal Year: 2015, Volume and Issue: 119, P. 1259 - 1268

Published: Jan. 1, 2015

Resilience and vulnerability of networked infrastructures are strictly linked: while resilience is focused on a general evaluation the robustness entire infrastructure, associated with specific component, or set components, to represent possibility being influenced by hazards/threats severity possible consequences. In proposedframework,complex network theory used evaluate WDN (structural connectivity)whilehydraulic simulation (EPANET) adopted estimate potential stress pipes according level service WDN. The aim provide decision support functionality assist definition intervention planbyrankingpipes integrated information vulnerability/resilience hydraulic stress. proposed framework, developed within ICeWater project, has been evaluated both benchmark two real world WDNs (pilots in Timisoara Milan), starting from their software models.

Language: Английский

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