Tools and methods in participatory modeling: Selecting the right tool for the job

Environmental Modelling & Software, Journal Year: 2018, Volume and Issue: 109, P. 232 - 255

Published: Aug. 27, 2018

Language: Английский

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Review of studies on the resilience of urban critical infrastructure networks

Reliability Engineering & System Safety, Journal Year: 2019, Volume and Issue: 193, P. 106617 - 106617

Published: Aug. 19, 2019

Language: Английский

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A Systematic Review of Quantitative Resilience Measures for Water Infrastructure Systems

Water, Journal Year: 2018, Volume and Issue: 10(2), P. 164 - 164

Published: Feb. 7, 2018

Over the past few decades, concept of resilience has emerged as an important consideration in planning and management water infrastructure systems. Accordingly, various measures have been developed for quantitative evaluation decision-making There are, however, numerous considerations no clear choice which measure, if any, provides most appropriate representation a given application. This study critical review approaches to measure systems, with focus on resources distribution A compilation 11 criteria evaluating 21 selected addressing major features is using Axiomatic Design process. Existing gaps are identified based criteria. The results show that generally paid less attention cascading damage interrelated rapid identification failure, physical system components, time variation resilience. Concluding paper, improvements recommended. findings contribute our understanding provide information help further improve

Language: Английский

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Machine Learning‐Based Surrogate Modeling for Urban Water Networks: Review and Future Research Directions

Water Resources Research, Journal Year: 2022, Volume and Issue: 58(5)

Published: May 1, 2022

Abstract Surrogate models replace computationally expensive simulations of physically‐based to obtain accurate results at a fraction the time. These surrogate models, also known as metamodels, have been employed for analysis, control, and optimization water distribution urban drainage systems. With advent machine learning (ML), engineers increasingly resorted these data‐driven techniques develop metamodels networks (UWNs). In this article, we review 31 recent articles on ML‐based metamodeling UWNs outline state‐of‐the‐art field, identify outstanding gaps, propose future research directions. For each critically examined purpose metamodel, metamodel characteristics, applied case study. The shows that current suffer several drawbacks, including (a) curse dimensionality, hindering implementation large studies; (b) black‐box deterministic nature, limiting explainability applicability; (c) rigid architecture, preventing generalization across multiple studies. We argue researchers should tackle issues by resorting advancements in ML concerning inductive biases, robustness, transferability. Recently developed neural network architectures, which extend deep methods graph data structures, are preferred candidates advancing modeling UWNs. Furthermore, foresee increasing efforts complex applications where may play fundamental role, such uncertainty analysis multi‐objective optimization. Lastly, development comparison can benefit from availability new benchmark datasets systems realistic networks.

Language: Английский

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Resilience of Complex Systems: State of the Art and Directions for Future Research

Complexity, Journal Year: 2018, Volume and Issue: 2018(1)

Published: Jan. 1, 2018

This paper reviews the state of art on resilience complex systems by embracing different research areas and using bibliometric tools. The aim is to identify main intellectual communities leading scholars synthesize key knowledge each area. We also carry out a comparison across areas, aimed at analyzing how approached in any field, topic evolved starting from ecological field study, level cross‐fertilization among domains. Our analysis shows that multidisciplinary concept, which particularly important fields environmental science, ecology, engineering. Areas recent increasing interest are operation research, management business, computer science. Except for science fragmented carried isolated groups. Integration not only limited inside but between areas. In particular, we trace citation links find very number, revealing scarce conclude providing some directions future research.

Language: Английский

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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

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Understanding Smart City—A Data-Driven Literature Review

Sustainability, Journal Year: 2020, Volume and Issue: 12(20), P. 8460 - 8460

Published: Oct. 14, 2020

This paper systematically reviews the top 200 Google Scholar publications in area of smart city with aid data-driven methods from fields natural language processing and time series forecasting. Specifically, our algorithm crawls textual information considered articles uses created ad-hoc database to identify most relevant streams “smart infrastructure”, economy & policy”, technology”, sustainability”, health”. Next, we automatically assign each manuscript into these subject areas by dint several interdisciplinary scientific methods. Each stream is evaluated a deep-dive analysis (i) creating word cloud find important keywords, (ii) examining main contributions, (iii) applying methodologies determine past future relevance. Due large-scaled literature, an in-depth evaluation possible, which ultimately reveals strengths weaknesses. We hereby acknowledge that sustainability will come fore next years—this fact confirms current trend, as minimizing required input energy, water, food, waste, heat output air pollution becoming increasingly important.

Language: Английский

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Using Complex Network Analysis for Optimization of Water Distribution Networks

Water Resources Research, Journal Year: 2020, Volume and Issue: 56(8)

Published: July 23, 2020

Abstract The optimization of water networks supports the decision‐making process by identifying optimal trade‐off between costs and performance (e.g., resilience leakage). A major challenge in domain distribution systems (WDSs) is network (re)design. While complex nature WDS has already been explored with analysis (CNA), literature still lacking a CNA networks. Based on systematic Pareto‐optimal solutions different WDSs, several graph characteristics are identified, newly developed design approach for WDSs proposed. results show that obtained designs comparable found evolutionary optimization, but applicable large 150,000 pipes) substantially reduced computational effort (runtime reduction up to 5 orders magnitude).

Language: Английский

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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

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Recovery-based seismic resilience enhancement strategies of water distribution networks

Reliability Engineering & System Safety, Journal Year: 2020, Volume and Issue: 203, P. 107088 - 107088

Published: June 22, 2020

Language: Английский

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