Assessing urban lifeline systems immediately after seismic disaster based on emergency resilience

Zhao, Xudong; Cai, Hao; Chen, Zhi Long; Gong, Huadong; Feng, Qilin

doi:10.1080/15732479.2016.1157609

Cited by 35 publications

(30 citation statements)

References 52 publications

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“…Depending on their calculation process, simulation methods adopt either discrete [82,83,[124][125][126][127][128][129][130][131][132][133][134][135][136][137][138] or continuous [79,90,96,103,129] metrics. Both types of methods capture the evolving water demand and water quality in the system, but differ in when the information is relayed (at time points or during time periods).…”

Section: Metricsmentioning

confidence: 99%

“…Their local rebuilding strategy focused on enhancing the components, such as extra-power support for pumps. They also evaluated the short-term emergency resilience assisted by recovery budgets and recovery resources [90]. Zhuang et al [83] defined availability as a quantifiable metric of WDN resilience, namely, the fraction of demand supplied during disruptions.…”

Section: Research Progressesmentioning

confidence: 99%

“…The degree of recovery expresses the final service performance of the WDN after adopting recovery strategies. This measure is limited by the repair budget (i.e., funds, repair materials, and other consumables) [90]. The recovery time refers to the period between service degradation and return to normal state.…”

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confidence: 99%

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Review of the Quantitative Resilience Methods in Water Distribution Networks

Shuang

Liu

Porse

2019

Water

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Water distribution networks (WDNs) are critical contributors to the social welfare, economic growth, and public health in cities. Under the uncertainties that are introduced owing to climate change, urban development, aging components, and interdependent infrastructure, the WDN performance must be evaluated using continuously innovative methods and data acquisition. Quantitative resilience assessments provide useful information for WDN operators and planners, enabling support systems that can withstand disasters, recover quickly from outages, and adapt to uncertain environments. This study reviews contemporary approaches for quantifying the resilience of WDNs. 1508 journal articles published from 1950 to 2018 are identified under systematic review guidelines. 137 references that focus on the quantitative resilience methods of WDN are classified as surrogate measures, simulation methods, network theory approaches, and fault detection and isolation approaches. This study identifies the resilience capability of the WDNs and describes the related terms of absorptive, restorative, and adaptive capabilities. It also discusses the metrics, research progresses, and limitations associated with each method. Finally, this study indicates the challenges associated with the quantification of WDNs that should be overcome for achieving improved resilience assessments in the future. earthquake in 1976 [3] stopped the water supply for more than one week, whereas the Northridge earthquake in 1994 [4] destroyed 74 water main pipes, resulting in approximately 1200 leaks and stoppage of water supply for several weeks. The Kobe earthquake in 1995 [5] damaged more than 4000 incidents of damage to water pipes and cut off 1.2 million end users. Only one-third of the WDN was repaired after one week, and the complete period required for repair was two and a half months. The Wenchuan Earthquake in 2008 [6] affected 181 cities in the Sichuan Province and damaged 47,642.5 km of water pipes. Some cities (such as Dujiangyan and Mianzhu) remained deprived of their normal water supply for a year after the occurrence of this earthquake.The emerging uncertainties have introduced new risks with respect to WDN operation and planning. The impacts of climate change, which are already being felt in the water systems in various communities, will become increasingly severe and intense in the future [7,8]. The WDN planners must re-evaluate the balance between water supply and demand under climate-change events such as increase in sea level, earthquakes, storms, and heatwaves [9]. Meanwhile, the WDNs in several industrialized counties and existing systems exhibit endogenous problems such as aging components, increasing their vulnerability to extreme events. Furthermore, the rapid development of cities has led to the high concentration of population in cities as well as the emergence of cities as financial hubs. The cascading failures caused by the closely associated interactive infrastructures can exacerbate the impact and destructiveness of disasters [10,...

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Section: Metricsmentioning

confidence: 99%

Section: Research Progressesmentioning

confidence: 99%

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Review of the Quantitative Resilience Methods in Water Distribution Networks

Shuang

Liu

Porse

2019

Water

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“…Urban resilience including phase of preparedness, response and recovery, could be described by resilience function shown in figure 3 [10,13] and calculated by general equation (1). Resilience function shows system performance (P) through different time units, before the event (phase of preparedness), in the time of event (phase of response) and after the event (phase of recovery).…”

Section: Possibilities For Assessment Of Urban System Resilience To Nmentioning

confidence: 99%

“…Most current investigations are focused on the socio-economic vulnerability of the urban system [3,[5][6][7][8][9] or structural weakness of its physical components [10][11][12][13][14][15][16]. On the other hand, there are few studies that treat the urban system as a whole.…”

Section: Introductionmentioning

confidence: 99%

Proposal for Holistic Assessment of Urban System Resilience to Natural Disasters

Koren

Kilar

Rus

2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. Urban system is a complex mix of interdependent components and dynamic interactions between them that enable it to function effectively. Resilience of urban system indicates the ability of a system to resist, absorb, accommodate to and recover from the effects of a hazard in a timely and efficient manner. In the relevant literature, most studies consider individual components separately. On the other hand, the purpose of this paper is to assess the urban system as a whole, considering all relevant components and their interactions. The goal is a study of possibilities for holistic evaluation of urban system resilience to natural disasters. Findings from the preliminary study are presented: (i) the definition of urban system and categorization of its components, (ii) a set of attributes of individual components with impact on disaster resilience of the entire system and (iii) review of different methods and approaches for resilience assessment. Based on literature review and extensive preliminary studies a new conceptual framework for urban resilience assessment is proposed. In the presented paper, a conceptual model of urban system by abstraction of its components as nodes (buildings), patches -specific nodes with spatial properties (open space), links (infrastructures) and base layer (community) is created. In the suggested model, each component is defined by its own quantitative attributes, which have been identified to have an important impact on the urban system resilience to natural disasters. System is presented as a mathematical graph model. Natural disaster is considered an external factor that affects the existing system and leads to some system distortion. In further analyses, mathematical simulation of various natural disasters scenarios is going to be carried out, followed by comparison of the system functionality before and after the accident. Various properties of the system (accessibility, transition, complexity etc.) are going to be analysed with graph theory. The final result is going to be an identification of critical points and system bottlenecks as basis for further actions of risk mitigation.

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Risk analysis of rainstorm-urban lifeline system disaster chain based on the PageRank-risk matrix and complex network

Guo,

He,

et al. 2024

Nat Hazards

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This study aims to enhance emergency response and decision-making capabilities for rainstorm disasters. It begins by analyzing 87 such disasters worldwide and summarizing secondary events across 15 urban lifeline systems. Based on these findings and the characteristics of rainstorm disaster evolution and complex network theory, the study constructs a model of rainstorm disaster chains in urban lifeline systems, conducting both partial and overall analyses of this model. Using a PageRankrisk matrix, the study calculates quantitative node risk levels for different parts of the model and applies complex network theory to assess overall chain risk. The results show that the highest risk disaster chain is 'flood à submerged or collapsed houses à damaged roads à traffic congestion or paralysis'. The most important node is 'traffic congestion or paralysis', underlining the acute need for emergency response measures in urban traffic systems during a rainstorm disaster. Overall, this research provides crucial direction for preventing rainstorm disasters in urban lifeline systems.

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Assessing urban lifeline systems immediately after seismic disaster based on emergency resilience

Cited by 35 publications

References 52 publications

Review of the Quantitative Resilience Methods in Water Distribution Networks

Review of the Quantitative Resilience Methods in Water Distribution Networks

Proposal for Holistic Assessment of Urban System Resilience to Natural Disasters

Risk analysis of rainstorm-urban lifeline system disaster chain based on the PageRank-risk matrix and complex network

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