Relevant bibliographies by topics / Infrastructure failure

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Infrastructure failure'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Infrastructure failure"

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NEOCLEOUS, KYRIAKOS, MARIOS D. DIKAIAKOS, PARASKEVI FRAGOPOULOU, and EVANGELOS P. MARKATOS. "FAILURE MANAGEMENT IN GRIDS: THE CASE OF THE EGEE INFRASTRUCTURE." Parallel Processing Letters 17, no. 04 (December 2007): 391–410. http://dx.doi.org/10.1142/s0129626407003113.

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The emergence of Grid infrastructures like EGEE has enabled the deployment of large-scale computational experiments that address challenging scientific problems in various fields. However, to realize their full potential, Grid infrastructures need to achieve a higher degree of dependability, i.e., they need to improve the ratio of Grid-job requests that complete successfully in the presence of Grid-component failures. To achieve this, however, we need to determine, analyze and classify the causes of job failures on Grids. In this paper we study the reasons behind Grid job failures in the context of EGEE, the largest Grid infrastructure currently in operation. We present points of failure in a Grid that affect the execution of jobs, and describe error types and contributing factors. We discuss various information sources that provide users and administrators with indications about failures, and assess their usefulness based on error information accuracy and completeness. We describe two real-life case studies, describing failures that occurred on a production site of EGEE and the troubleshooting process for each case. Finally, we propose the architecture for a system that could provide failure management support to administrators and end-users of large-scale Grid infrastructures like EGEE.
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Lindner, Christine, Pradeep Burla, and Dirk Vallée. "Graph-Theory-Based Modeling of Cascading Infrastructure Failures." Journal of Extreme Events 04, no. 03 (September 2017): 1750012. http://dx.doi.org/10.1142/s2345737617500129.

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Urban social life increasingly depends on a functioning social and technical infrastructure. Protecting infrastructures from natural disasters and extreme weather events, which are especially a result of climate change, has become an important topic in international research in the last years [Birkmann et al. (2016). Journal of Extreme Events, 03: 1650017]. In order to increase efficiency, the connections and interrelations between infrastructure components have been strengthened more and more, promoting the growth of large-scale interconnected systems. This in turn has resulted in uncontrollable potential risks as the functionality of each component now depends on an ever-increasing number of other infrastructure components. If one infrastructure component fails, this causes extensive cascades carrying the original failure over to successive components. This can, for example, cause large-scale failures in the rail network due to a shortage of fuel supply in large power plants resulting in impaired grid stability and thus a blackout, which in turn affects communications infrastructure, water supply, and other sectors. The growing complexity of connected infrastructures across multiple sectors and the use of continuously evolving technologies pose great challenges for researchers and providers regarding the prediction of cascading disruptions in the event of a component failure. Cascade modeling is an essential tool for improving the system’s resilience, since the security of the population’s supply is already disrupted when only parts of infrastructure systems are deactivated for test purposes. Accordingly, development and improvement of modeling approaches for the depiction of failure scenarios plays an essential role in planning and operating infrastructure systems. Against this background, we are developing an intersectoral graph-theoretical model framework for cascading failures in large-scale infrastructure systems in order to identify hotspots of high criticality. This work extends the study of criticality as a function of network centrality metrics. Network centrality metrics are applied to the electricity sector to examine and comprehend their correlation. The proposed criticality model for the graph model is then extended to a geographical dependence model. Predicting and analyzing criticality is important to support urban planners in setting up independently operational infrastructure systems and to accomplish the transformation of existing vulnerabilities into resilient adaptive structures.
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Eismann, Christine. "Trends in Critical Infrastructure Protection in Germany." TRANSACTIONS of the VŠB – Technical University of Ostrava, Safety Engineering Series 9, no. 2 (September 1, 2014): 26–31. http://dx.doi.org/10.2478/tvsbses-2014-0008.

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Abstract Critical Infrastructures failures cause harmful consequences to the population, because they disrupt the supply of necessary goods and services. The failures pose an indirect threat, as they will regularly be triggered by natural hazards, technical failure/human error or intentional acts. In the risk analyses on the national level in Germany, Critical Infrastructure failures are qualitatively described to estimate their impacts on society. Critical Infrastructure Protection is seen as a joint task of many different stakeholders. Rules and regulations with different degrees of compulsion build the framework for their cooperation, and a strategy is in place that promotes the trustful exchange of information among all the relevant stakeholders. The most important stakeholder groups are public authorities, infrastructure operators, and the population. An example is given on how a joint risk management of public authorities and infrastructure operators may be performed, and the cooperation of public authorities and the population is discussed. As Civil Protection covers the entire risk and crisis management cycle with its phases prevention, preparedness, response and recovery, the article ends with examples of the support, which the German Federal Office of Civil Protection and Disaster Assistance and the Federal Ministry of the Interior offer for other stakeholders in order to achieve well-protected infrastructures and, in consequence, well-protected citizens.
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Koks, Elco, Raghav Pant, Scott Thacker, and Jim W. Hall. "Understanding Business Disruption and Economic Losses Due to Electricity Failures and Flooding." International Journal of Disaster Risk Science 10, no. 4 (September 24, 2019): 421–38. http://dx.doi.org/10.1007/s13753-019-00236-y.

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Abstract Failure of critical national infrastructures can cause disruptions with widespread economic impacts. To analyze these economic impacts, we present an integrated modeling framework that combines: (1) geospatial information on infrastructure assets/networks and the natural hazards to which they are exposed; (2) geospatial modeling of the reliance of businesses upon infrastructure services, in order to quantify disruption to businesses locations and economic activities in the event of infrastructure failures; and (3) multiregional supply-use economic modeling to analyze wider economic impacts of disruptions to businesses. The methodology is exemplified through a case study for the United Kingdom. The study uses geospatial information on the location of electricity infrastructure assets and local industrial areas, and employs a multiregional supply-use model of the UK economy that traces the impacts of floods of different return intervals across 37 subnational regions of the UK. The results show up to a 300% increase in total economic losses when power outages are included in the risk assessment, compared to analysis that just includes the economic impacts of business interruption due to flooded business premises. This increase indicates that risk studies that do not include failure of critical infrastructures may be underestimating the total losses.
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Musa, Nadianatra, Vishv Malhotra, and Trevor Wilmshurst. "Do Managers Understand Importance of Securing IT Resources?" International Journal of Virtual Communities and Social Networking 7, no. 1 (January 2015): 52–64. http://dx.doi.org/10.4018/ijvcsn.2015010105.

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Information infrastructures and resources has become critical component of the modern business and non-business organizations. In turn this dependence makes these organizations vulnerable to any significant failure in their information infrastructures and resources. Literature is full of examples of the companies suffering major losses and even demise as a result of information infrastructure and resources failures. To mitigate this vulnerability the senior management and governance of the organizations needs to pay direct role and attention to protect their critical information infrastructures and resources. This paper provides some results of a study we conducted recently to determine how the senior management of Malaysian business organizations view and control the information infrastructure and resources in their organizations to mitigate vulnerabilities to this critical component of their business organization.
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Monstadt, Jochen, and Olivier Coutard. "Cities in an era of interfacing infrastructures: Politics and spatialities of the urban nexus." Urban Studies 56, no. 11 (April 29, 2019): 2191–206. http://dx.doi.org/10.1177/0042098019833907.

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Over the last few years, nexus-thinking has become a buzzword in urban research and practice. This also applies to recent claims of greater integration or coordination of urban infrastructures that have traditionally been managed separately and have been unbundled. The idea is to better address their growing sociotechnical complexity, their externalities and their operation within an urban system of systems. This article introduces a collection of case studies aimed at critically appraising how concepts of nexus and infrastructure integration have become guiding visions for the development of green, resilient or smart cities. It assesses how concepts of nexus and calls for higher interconnectivity and ‘co-management’ within and across infrastructure domains often forestall more politically informed discussions and downplay potential risks and institutional restrictions. Based on an urban political and sociotechnical approach, the introduction to this special issue centres around four major research gaps: 1) the tensions between calls for infrastructure re-bundling and the urban trends and realities driven by infrastructure restructuring since the 1990s; 2) the existing boundary work in cities and urban stakeholders’ practices in bringing fragmented urban infrastructures together; 3) the politics involved in infrastructural and urban change and in aligning urban infrastructures that often defy managerial rhetoric of resource efficiency, smartness and resilience; and 4) the spatialities at play in infrastructural reconfigurations that selectively promote specific spaces and scales of metabolic autonomy, system operation (and failure), networked interconnectivities and system regulation. We conclude by outlining directions for future research.
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Seppänen, Hannes, Pekka Luokkala, Zhe Zhang, Paulus Torkki, and Kirsi Virrantaus. "Critical infrastructure vulnerability—A method for identifying the infrastructure service failure interdependencies." International Journal of Critical Infrastructure Protection 22 (September 2018): 25–38. http://dx.doi.org/10.1016/j.ijcip.2018.05.002.

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Adeniran, Adegboyega, Katherine A. Daniell, and Jamie Pittock. "Water Infrastructure Development in Nigeria: Trend, Size, and Purpose." Water 13, no. 17 (September 2, 2021): 2416. http://dx.doi.org/10.3390/w13172416.

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Water infrastructure development is key to attaining sustainable development, especially for water supply, sanitation and health, agricultural development, and energy production. However, sub-Saharan African countries face specific challenges around infrastructure financing, systemic and repeated malfunctioning, and decentralised infrastructure types. Using Nigeria as a case, this article aims to analyse historical water infrastructure development in Nigeria with a specific focus on dams and standpipes. Seven themes are discussed: infrastructure divisions; deprioritising water supply; political infrastructures; infrastructure failure and sustainability; infrastructure classification and typologies; optimal use of water resources and infrastructure; and a commentary on the future of water infrastructure development. The article concludes with policy and research suggestions for policymakers and other relevant stakeholders.
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Harris, Nigel G., and J. Bruce H. Ramsey. "Assessing the Effects of Railway Infrastructure Failure." Journal of the Operational Research Society 45, no. 6 (June 1994): 635. http://dx.doi.org/10.2307/2584454.

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Harris, Nigel G., and J. Bruce H. Ramsey. "Assessing the Effects of Railway Infrastructure Failure." Journal of the Operational Research Society 45, no. 6 (June 1994): 635–40. http://dx.doi.org/10.1057/jors.1994.101.

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Dissertations / Theses on the topic "Infrastructure failure"

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Jidayi, Yakubu Mara. "Reliability improvement of railway infrastructure." Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/97047.

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Thesis (MEng)--Stellenbosch University, 2015.
ENGLISH ABSTRACT: The railway transportation system is fundamental in sustaining the economic activities of a country, by providing a safe, reliable and relatively affordable means of transporting people and goods; hence, the need to ensure its ongoing reliability is of paramount importance. The principle and applications of rail reliability have been reviewed, and reliability improvement in rail infrastructure has been investigated using failure mode and effect analysis (FMEA). Reliability improvement is a continuous process that is geared to meeting dynamic changes in operation and stakeholders’ expectations. Recently, growth has occurred in the amount of rail transport traffic utilisation undertaken, together with the degradation of the infrastructure involved. Such deterioration has amplified the operating risks, leading to an inadequacy in rail track maintenance and inspection that should have kept abreast with the changes. The result has been increased rail failures, and subsequent derailments. A case study of the Passenger Rail Agency of South Africa (PRASA) Metrorail maintenance policy was reviewed to evaluate its maintenance strategy and identifying the potential critical failure modes, so as to be able to recommend improvement of its reliability, and, thus, its availability. On the basis of the case study of PRASA Metrorail maintenance strategy and its performance, it is recommended that PRASA Metrorail change its maintenance policy through employing a cluster maintenance strategy for each depot.
AFRIKAANSE OPSOMMING: Die spoorwegvervoerstelsel is fundamenteel om die ekonomiese bedrywighede van ’n land te ondersteun deur die voorsiening van ’n veilige, betroubare en betreklik bekostigbare manier om mense en goedere te vervoer. Dus is dit van die allergrootste belang om die voortgesette betroubaarheid daarvan te verseker. Die beginsels en toepassings van spoorbetroubaarheid is hersien en die betroubaarheidsverbetering van spoorinfrastruktuur met behulp van foutmodus-eneffekontleding (“FMEA”) ondersoek. Betroubaarheidsverbetering is ’n voortdurende proses om tred te hou met dinamiese bedryfsveranderinge sowel as verskuiwings in belanghebbendes se verwagtinge. Die hoeveelheid spoorvervoerverkeer het onlangs beduidend toegeneem, terwyl die betrokke infrastruktuur agteruitgegaan het. Dié agteruitgang het die bedryfsrisiko’s verhoog, en lei tot ontoereikende spoorweginstandhouding en -inspeksie, wat veronderstel was om met die veranderinge tred te gehou het. Dit gee aanleiding tot ’n toename in spoorwegfoute en gevolglike ontsporing. ’n Gevallestudie is van die instandhoudingsbeleid van die Passasierspooragentskap van Suid- Afrika (PRASA) Metrorail onderneem om dié organisasie se instandhoudingstrategie te beoordeel en die moontlike kritieke foutmodusse te bepaal. Die doel hiermee was om verbeteringe in stelselbetroubaarheid en dus ook stelselbeskikbaarheid voor te stel. Op grond van die gevallestudie van die PRASA Metrorail-instandhoudingstrategie en -prestasie, word daar aanbeveel dat PRASA Metrorail sy instandhoudingsbeleid verander deur ’n klusterinstandhoudingsplan vir elke depot in werking te stel.
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Lam, Juan Carlos. "Dynamic Analysis of Levee Infrastructure Failure Risk: A Framework for Enhanced Critical Infrastructure Management." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/43106.

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Current models that assess infrastructure failure risk are â linear,â and therefore, only consider the direct influence attributed to each factor that defines risk. These models do not consider the undeniable relationships that exist among these parameters. In reality, factors that define risk are interdependent and influence each other in a â non-linearâ fashion through feedback effects. Current infrastructure failure risk assessment models are also static, and do not allow infrastructure managers and decision makers to evaluate the impacts over time, especially the long-term impact of risk mitigation actions. Factors that define infrastructure failure risk are in constant change. In a strategic manner, this research proposes a new risk-based infrastructure management framework and supporting system, Risk-Based Dynamic Infrastructure Management System (RiskDIMS), which moves from linear to non-linear risk assessment by applying systems engineering methods and analogs developed to address non-linear complex problems. The approach suggests dynamically integrating principal factors that define infrastructure failure risk using a unique platform that leverages Geospatial Information System services and extensions in an unprecedented manner. RiskDIMS is expected to produce results that are often counterintuitive and unexpected, but aligned to our complex reality, suggesting that the combination of geospatial and temporal analyses is required for sustainable risk-based decision making. To better illustrate the value added of temporal analysis in risk assessment, this study also develops and implements a non-linear dynamic model to simulate the behavior over time of infrastructure failure risk associated with an existing network of levees in New Orleans due to diverse infrastructure management investments. Although, the framework and RiskDIMS are discussed here in the context of levees, the concept applies to other critical infrastructure assets and systems. This research aims to become the foundation for future risk analysis system implementation.
Master of Science
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Thacker, Scott. "Reducing the risk of failure in interdependent national infrastructure network systems." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:02e7313c-0967-47e3-becc-2e7da376f745.

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Infrastructure network systems support society and the economy by facilitating the distribution of essential services across broad spatial extents, at a range of scales. The complex and interdependent nature of these systems provides the conditions for which localised failures can dramatically cascade, resulting in disruptions that are widespread and very often unforeseen. This systemic vulnerability has been highlighted multiple times over the previous decades in infrastructures systems from around the world. In the future, the hazards to which infrastructure systems are exposed are set to grow with increasing extreme event risks caused by climate change. The aim of this thesis is to develop methodology and analysis for understanding and reducing the risk of failure of national interdependent infrastructure network systems. This study introduces multi-scale, system-of-systems based methodology and applied analysis that provides important new insights into interdependent infrastructure network risk and adaptation. Adopting a complex network based approach; real-world asset data is integrated from the energy, transport, water, waste and digital communications sectors to represent the physical interconnectivity that exists within and between interdependent infrastructure systems. Given the often limited scope of real-world datasets, an algorithm is presented that is used to synthesise missing network data, providing continuous network representations that preserve the most salient spatial and topological properties of real multi-level infrastructure systems. Using the resultant network representations, the criticality of individual assets is calculated by summing the direct and indirect customer disruptions that can occur in the event of failure. This is achieved by disrupting sets of functional service flow pathways that transcend sectorial and operational boundaries, providing long-range connectivity between service originating source nodes and customer allocated sink nodes. Kernel density estimation is used to integrate discrete asset criticality values into a continuous surface from which statistically significant infrastructure geographical criticality hotspots are identified. Finally, a business case is presented for investment in infrastructure adaptation, where adaptation costs are compared to the reduction in expected damages that arise from interdependency related failures over an assets lifetime. By representing physical and geographic interdependence at a range of scales, this analysis provides new evidence to inform the targeting of investments to reduce risks and enhance system resilience. It is concluded that the research presented within this thesis provides new theoretical insights and practical techniques for a range of academic, industrial and governmental infrastructure stakeholders, from the UK and beyond.
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Salman, Baris. "Infrastructure Management and Deterioration Risk Assessment of Wastewater Collection Systems." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1282051343.

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Fang, Yiping. "Critical infrastructure protection by advanced modelling, simulation and optimization for cascading failure mitigation and resilience." Thesis, Châtenay-Malabry, Ecole centrale de Paris, 2015. http://www.theses.fr/2015ECAP0013/document.

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Sans cesse croissante complexité et l'interdépendance des infrastructures critiques modernes, avec des environs de risque plus en plus complexes, posent des défis uniques pour leur exploitation sûre, fiable et efficace. L'objectif de la présente thèse est sur la modélisation, la simulation et l'optimisation des infrastructures critiques (par exemple, les réseaux de transmission de puissance) à l'égard de leur vulnérabilité et la résilience aux défaillances en cascade. Cette étude aborde le problème en modélisant infrastructures critiques à un niveau fondamental, en se concentrant sur la topologie du réseau et des modèles de flux physiques dans les infrastructures critiques. Un cadre de modélisation hiérarchique est introduit pour la gestion de la complexité du système. Au sein de ces cadres de modélisation, les techniques d'optimisation avancées (par exemple, non-dominée de tri binaire évolution différentielle (NSBDE) algorithme) sont utilisés pour maximiser à la fois la robustesse et la résilience (capacité de récupération) des infrastructures critiques contre les défaillances en cascade. Plus précisément, le premier problème est pris à partir d'un point de vue de la conception du système holistique, c'est-à-dire certaines propriétés du système, tels que ses capacités de topologie et de liaison, sont redessiné de manière optimale afin d'améliorer la capacité de résister à des défaillances systémiques de système. Les deux modèles de défaillance en cascade topologiques et physiques sont appliquées et leurs résultats correspondants sont comparés. En ce qui concerne le deuxième problème, un nouveau cadre est proposé pour la sélection optimale des mesures appropriées de récupération afin de maximiser la capacité du réseau d’infrastructure critique de récupération à partir d'un événement perturbateur. Un algorithme d'optimisation de calcul pas cher heuristique est proposé pour la solution du problème, en intégrant des concepts fondamentaux de flux de réseau et le calendrier du projet. Exemples d'analyse sont effectués en se référant à plusieurs systèmes de CI réalistes
Continuously increasing complexity and interconnectedness of modern critical infrastructures, together with increasingly complex risk environments, pose unique challenges for their secure, reliable, and efficient operation. The focus of the present dissertation is on the modelling, simulation and optimization of critical infrastructures (CIs) (e.g., power transmission networks) with respect to their vulnerability and resilience to cascading failures. This study approaches the problem by firstly modelling CIs at a fundamental level, by focusing on network topology and physical flow patterns within the CIs. A hierarchical network modelling technique is introduced for the management of system complexity. Within these modelling frameworks, advanced optimization techniques (e.g., non-dominated sorting binary differential evolution (NSBDE) algorithm) are utilized to maximize both the robustness and resilience (recovery capacity) of CIs against cascading failures. Specifically, the first problem is taken from a holistic system design perspective, i.e. some system properties, such as its topology and link capacities, are redesigned in an optimal way in order to enhance system’s capacity of resisting to systemic failures. Both topological and physical cascading failure models are applied and their corresponding results are compared. With respect to the second problem, a novel framework is proposed for optimally selecting proper recovery actions in order to maximize the capacity of the CI network of recovery from a disruptive event. A heuristic, computationally cheap optimization algorithm is proposed for the solution of the problem, by integrating foundemental concepts from network flows and project scheduling. Examples of analysis are carried out by referring to several realistic CI systems
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Jamar-Kattel, Prakash. "Locating Critical Infrastructure Considering its Dependency with Connected Supporting Stations." Ohio University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1547044104211674.

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Sinha, Yashwant. "Optimisation of offshore wind farm maintenance." Thesis, Robert Gordon University, 2016. http://hdl.handle.net/10059/1572.

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The installed capacity of European Offshore Wind Turbines (OWT) is likely to rise from the 2014 value of 7GW to 150GW in 2030. However maintenance of OWT is facing unprecedented challenges and cost 35% of lifetime costs. This will be equivalent to £14billion/year by 2030 if current OWT maintenance schemes are not changed. However the complexities around OWT operation require tools and systems to optimise OWT maintenance. The design of optimal OWT maintenance requires failure analysis of over 10,000 components in OWT for which there is little published work relating to performance and failure. In this work, inspection reports of over 400 wind turbine gearboxes (source: Stork Technical Services) and SCADA data (source: Shetland Aerogenerators Ltd) were studied to identify issues with performance and failures in wind turbines. A modified framework of Failure Mode Effects and Criticality Analysis (i.e. FMECA+) was designed to analyse failures according to the unique requirements of OWT maintenance planners. The FMECA+ framework enables analysis and prediction of failures for varied root causes, and determines their consequences over short and long periods of time. A software tool has been developed around FMECA+ framework that enables prediction of component level failures for varied root causes. The tool currently stores over 800 such instances. The need to develop a FMECA+ based Enterprise Resource Planning tool has been identified and preliminary results obtained from its development have been shown. Such a software package will routinely manage OWT data, predict failures in components, manage resources and plan an optimal maintenance. This will solve some big problems that OWT maintenance planners currently face. This will also support the use of SCADA and condition monitoring data in planning OWT maintenance, something which has been difficult to manage for a long time.
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Moore, Michael Ronald. "Exploring Critical Infrastructure Single Point of Failure Analysis (SPFA) for Data Center Risk and Change Management." Thesis, Northcentral University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10975757.

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Critical infrastructure (CI) risk management frameworks require identification of single point of failure risks but existing reliability assessment methods are not practical for identifying single points of failure in CI systems. The purpose of this study was development and assessment of a system reliability assessment tool specific to the task of identifying single points of failure in CI systems. Using a series of action research nested cycles the author developed, applied, and improved a single point of failure analysis (SPFA) tool consisting of a six step method and novel single point of failure analysis algorithm which was utilized in analyzing several CI systems at a participating data center organization for single points of failure. The author explored which components of existing reliability analysis methods can be used for SPFA, how SPFA aligns with CI change and risk management, and the benefits and drawbacks of using the six step method to perform SPFA. System decomposition, network tree, stated assumptions, and visual aids were utilized in the six step method to perform SPFA. Utilizing the method the author was able to provide the participating organization with knowledge of single point of failure risks in 2N and N+X redundant systems for use in risk and change management. The author and two other individuals independently performed SPFA on a system and consistently identified two components as single points of failure. The method was beneficial in that analysts were able to analyze different types of systems of varying familiarity and consider common cause failure and system interdependencies as single points of failure. Drawbacks of the method are reliance on the ability of the analyst and assumptions stated by the analyst. The author recommends CI organizations utilize the method for identification of single points of failure in risk management and calls future researchers to further investigate the method quantitatively.

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Mansaray, Alhassan A. "Public-Private Partnership : countries' attractiveness and the risk of project failure." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/33333.

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The primary objective of this thesis is to analyse the public private partnership (PPP) framework for infrastructure development in developing countries across the six regions of the world. The thesis utilises the World Bank's private participation in infrastructure (PPI) dataset for the period 1980–2014, and examines three thematic areas. The first comprises of an exploratory analysis of the PPI dataset. The second research area focuses on the relationship between countries' attractiveness for PPPs and the characteristics of the countries, including: macroeconomic and market; fiscal constraints; regulatory and governance; and experience in PPPs, by utilising the Zero-Inflated Negative Binomial and Cragg's Double Hurdle models in an attempt to model private investors' decision to engage in PPPs as separate participation and consumption decisions. The third research area employs the methodology of survival analysis to investigate the risk of failure of PPP projects based on the allocation of residual facility ownership between the partners. The thesis's primary contributions include the utilisation of a wider and more informative range of econometric methodologies which have not been previously applied to the PPI dataset, and for the first time also, provides a framework to select an appropriate structure for PPPs that will enhance project survival. A key finding of the thesis is that private investors prioritise macroeconomic and market variables, such as price stability over regulatory and governance variables, such as corruption, in their determination as to which country to engage in PPPs. Contrary to previous research, corruption was found to be of no consequence to private investors who wish to engage in PPPs even for developing countries. Another key finding is that PPP projects which confer residual ownership on the public sector have lower risk of failure than those for which such ownership is conferred on the private sector. Evidence also suggests that the size of the project and the participation of multilateral institutions in PPPs also affect the risk of project failure.
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Xu, Xinfeng. "Modeling and Predicting Incidence: Critical Systems Failures and Flu Infection Cases." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/89909.

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Given several related critical infrastructure (CI) networks, such as power grid, transportation, and water systems, one crucial question emerges: how to model the propagation of failed facilities and predict their spread over time to the whole system? Given digital surveillance data, can we predict the impact of Influenza-Like Illness (ILI), including the percentage of outpatient doctors visits, the season duration, and peak? These two questions are related to modeling and predicting the incidence of different types of contagions. In the case of CI, the contagions are the failures of facilities. In the case of flu spread, the contagions are the infective ILI. In this thesis, in the case of CI, we give a novel model of failure cascades and use it to identify key facilities in an optimization-based approach, called HotSpots. In the case of flu spread, we develop a deep neural network, EpiDeep, to predict multiple key epidemiology metrics. In both of these applications, we use the dynamics of propagation to develop better approaches. By collaborating with Oak Ridge National Laboratory (ORNL) and working on the real CI networks provided by them, we find that HotSpots helps solve what-if scenarios. By using the digital surveillance data reported by the Centers for Disease Control and Prevention (CDC), we carry on experiments and find that EpiDeep is better than non-trivial baselines and outperforms them by up to 40%. We believe the generality of our approaches, and it can be applied to other propagation-based scenarios in infrastructure and epidemiology.
M.S.
Critical Infrastructure Systems (CIS), including the power grid, transportation, and gas systems, are essential to national security, economy, and political stability. Moreover, they are interconnected and are vulnerable to potential failures. The previous event, like 2012 Hurricane Sandy, showed how these interdependencies can lead to catastrophic disasters among the whole systems. Therefore, one crucial question emerges: Given several related CIS networks: how to model the propagation of failed facilities and predict their spread over time to the whole system? Similarly, in the case of seasonal influenza, it always remains a significant health issue for many people in every country. The time-series of the weighted Influenza-like Illness (wILI) data are provided to researchers by the US Center for Disease Control and Prevention (CDC), and researchers use them to predict several key epidemiological metrics. The question, in this case, is: Given the wILI time-series, can we predict the impact of Influenza-Like Illness (ILI) accurately and efficiently? Both of these questions are related to modeling and predicting the incidence of different types of contagions. Contagions are any infective trend which can spread inside a network, including failures of facilities, illness of human, and popular news. In the case of CIS, the contagions are the failures of facilities. In the case of flu spread, the contagions are the infective ILI. In this thesis, in the case of CI, we present a novel model of failure cascades and use it to identify critical facilities in an optimization-based approach. In the case of flu spread, we develop a deep neural network to predict multiple key epidemiology metrics. In both of these applications, we use the dynamics of propagation to create better approaches. By collaborating with ORNL and working on the real CI networks provided by them, we find that F-CAS captures the dynamics of the interconnected CI networks. In the experiments using the wILI data from CDC, we find that EpiDeep is better than non-trivial baselines and outperforms them by up to 40%. We believe the generality of our approaches, and it can be applied to other propagation-based scenarios in infrastructure and epidemiology.
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Books on the topic "Infrastructure failure"

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1965-, Stern Eric, and Svedin Lina 1974-, eds. Auckland unplugged: Coping with critical infrastructure failure. Lanham, Md: Lexington Books, 2003.

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Newlove, Lindy. Auckland unplugged: Coping with critical infrastructure failure. Lanham, MD: Lexington Books, 2003.

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1948-, Hossain Anwar, Haque M. Shamsul, and Association of Management Development Institution of Bangladesh., eds. Management Forum 2002: Institutional governance, failure in building socio-economic infra-structure : papers presented in AMDIB Management Forum 2002, Dhaka, July 25-26, 2002. Dhaka: Association of Management Development Institutions of Bangladesh, 2003.

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Mehl, Bronislav Ruben. Successes and failures: Flowing sweet waters. New York: Vantage Press, 1993.

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Bartoli, Gianni, Francesco Ricciardelli, and Vincenzo Sepe, eds. WINDERFUL Wind and INfrastructures. Florence: Firenze University Press, 2004. http://dx.doi.org/10.36253/8884531381.

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WINDERFUL (an acronym for Wind and INfrastructures: Dominating Eolian Risk For Utilities and Lifelines) is the title of a research project carried out by eight Italian Universities from the end of 2001 to the end of 2003. The project was centred on how "to keep a city running and ensuring quality services during and after major windstorms", avoiding "major failures" of engineering facilities and main infrastructures. The book reports the main results obtained in the project, and for each typology the tool for assessing its reliability are discussed, together with the criteria for its improvement.
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V, Welch Gregory, and Schrieber Randall R, eds. Aging power delivery infrastructures. New York: M. Dekker, 2001.

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Ettouney, Mohammed. Infrastructure health in civil engineering: Applications and management. Boca Raton: CRC Press, 2012.

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Analysis of the cost of infrastructure failures in a developing economy: The case of the electricity sector in Nigeria. Nairobi: African Economic Research Consortium, 2005.

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Illinois. Special Task Force on the Condition and Future of the Illinois Energy Infrastructure. Blackout solutions: Final report of the Special Task Force on the Condition and Future of the Illinois Energy Infrastructure. [Springfield, Ill.]: Illinois Special Task Force on the Condition and Future of the Illinois Energy Infrastructure, 2004.

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United States. Congress. Senate. Committee on Environment and Public Works. Subcommittee on Water Resources, Transportation, and Infrastructure. Collapse of the New York State Thruway bridge over the Schoharie Creek: Hearing before the Subcommittee on Water Resources, Transportation, and Infrastructure of the Committee on Environment and Public Works, United States Senate, One hundredth Congress, first session, May 4, 1987. Washington: U.S. G.P.O., 1987.

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Book chapters on the topic "Infrastructure failure"

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Tapolcai, János, Pin-Han Ho, Péter Babarczi, and Lajos Rónyai. "Failure Restoration Approaches." In Internet Optical Infrastructure, 15–31. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-7738-9_2.

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Tapolcai, János, Pin-Han Ho, Péter Babarczi, and Lajos Rónyai. "Distributed Failure Localization." In Internet Optical Infrastructure, 117–47. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-7738-9_4.

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Tapolcai, János, Pin-Han Ho, Péter Babarczi, and Lajos Rónyai. "Global Neighborhood Failure Localization." In Internet Optical Infrastructure, 171–86. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-7738-9_6.

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Tapolcai, János, Pin-Han Ho, Péter Babarczi, and Lajos Rónyai. "Failure Localization Via a Central Controller." In Internet Optical Infrastructure, 35–116. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-7738-9_3.

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Quigley, Kevin F. "The Market Failure Hypothesis." In Responding to Crises in the Modern Infrastructure, 67–94. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/9780230241640_4.

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Sidibé, I. B., and K. H. Adjallah. "Enhanced Kernel Method for Modelling Failure Probability Density Functions." In Engineering Asset Management and Infrastructure Sustainability, 829–45. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-493-7_64.

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Rahman, A., and G. Chattopadhyay. "Estimation of Rail Failure Parameters for Developing Rail Maintenance Models." In Engineering Asset Management and Infrastructure Sustainability, 749–58. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-493-7_58.

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Moya, José. "Determination of the Failure Surface Geometry in Quick Slides Using Balanced Cross Section Techniques - Application to Aznalcóllar Tailings Dam Failure." In Engineering Geology for Infrastructure Planning in Europe, 414–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-39918-6_48.

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Singh, Emma A. "Compounding Impacts of Lifeline Infrastructure Failure During Natural Hazard Events." In The Demography of Disasters, 189–210. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49920-4_10.

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Abstract Critical infrastructures, such as transportation systems, communication networks, power and water utilities, have become so integrated into our modern and globalised world that they are commonly taken for granted. That is, until their services are disrupted. The failure of these lifeline services during natural hazard events has the potential to impact populations by exacerbating the hazard itself and/or hindering their ability to respond to or recover from the event. The failure of lifeline infrastructure can also propagate outside the reach of the hazard footprint, causing disruption in regions not directly impacted by the event. Understanding the potential flow-on effects from lifeline failure during natural hazard events is vital for future disaster mitigation, response and recovery. The 2009 South-Eastern Australia heatwave and the 2010 Eyjafjallajökull eruption in Iceland are drawn on to highlight and discuss the vulnerability of lifelines to disruption from natural hazard shocks and the compounding impacts of lifeline failure during natural hazard events.
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Fang, Yi-Ping, Nicola Pedroni, and Enrico Zio. "Optimal Capacity Allocation for a Failure Resilient Electrical Infrastructure." In Risk and change management in complex systems, 197–207. München: Carl Hanser Verlag GmbH & Co. KG, 2014. http://dx.doi.org/10.3139/9781569904923.020.

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Conference papers on the topic "Infrastructure failure"

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Gardner, R. L. "Nonlinear processes in infrastructure failure." In 2013 International Conference on Electromagnetics in Advanced Applications (ICEAA). IEEE, 2013. http://dx.doi.org/10.1109/iceaa.2013.6632255.

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MacDermott, Aine, William Hurst, Qi Shi, and Madjid Merabti. "Simulating Critical Infrastructure Cascading Failure." In 2014 UKSim-AMSS 16th International Conference on Modelling and Simulation (UKSim). IEEE, 2014. http://dx.doi.org/10.1109/uksim.2014.85.

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Rehak, D., M. Hromada, and J. Ristvej. "Indication of critical infrastructure resilience failure." In The 2nd International Conference on Engineering Sciences and Technologies. CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742: CRC Press, 2017. http://dx.doi.org/10.1201/9781315210469-124.

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Mohseni, Omid, Mike Strong, Aaron T. Grosser, Charles Hathaway, and Aaron M. Mielke. "Mapping Slope-Failure Susceptibility for Infrastructure Management." In First Congress on Technical Advancement. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784481028.008.

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Chen, Xi, and Xila Liu. "Unified Failure Model of Reinforced Concrete Members Subjected to Hazard Loads I: Ductile Failure Analysis." In International Conference on Sustainable Development of Critical Infrastructure. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413470.021.

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Chen, Xi, and Xila Liu. "Unified Failure Model of Reinforced Concrete Members Subjected to Hazard Loads II: Brittle Failure Analysis." In International Conference on Sustainable Development of Critical Infrastructure. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413470.022.

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Luo, Simon, Victor W. Chu, Jianlong Zhou, Fang Chen, Raymond K. Wong, and Weidong Huang. "A Multivariate Clustering Approach for Infrastructure Failure Predictions." In 2017 IEEE International Congress on Big Data (BigData Congress). IEEE, 2017. http://dx.doi.org/10.1109/bigdatacongress.2017.42.

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Moorthy, Rajalakshmi Shenbaga, Thamarai Selvi Somasundaram, and Kannan Govindarajan. "Failure-aware resource provisioning mechanism in cloud infrastructure." In 2014 IEEE Global Humanitarian Technology Conference - South Asia Satellite (GHTC-SAS). IEEE, 2014. http://dx.doi.org/10.1109/ghtc-sas.2014.6967593.

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Nakhostin, E., S. Kenny, and S. Sivathayalan. "Buried Corrugated Steel Culvert Failure Mechanisms Due to Environmental Deteriorations." In International Conference on Sustainable Infrastructure 2019. Reston, VA: American Society of Civil Engineers, 2019. http://dx.doi.org/10.1061/9780784482650.004.

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Wangai, Agnes. "Railway transport sustainability with automated HiPot failure detection." In Fifth International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2018. http://dx.doi.org/10.5592/co/cetra.2018.804.

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Reports on the topic "Infrastructure failure"

1

TANNER, DANELLE M., NORMAN F. SMITH, LLOYD W. IRWIN, WILLIAM P. EATON, KAREN SUE HELGESEN, J. JOSEPH CLEMENT, WILLIAM M. MILLER, et al. MEMS Reliability: Infrastructure, Test Structures, Experiments, and Failure Modes. Office of Scientific and Technical Information (OSTI), January 2000. http://dx.doi.org/10.2172/750344.

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Estilow, Rex A. U.S. Counterinsurgency Doctrine and Insurgent Infrastructures: Proscribed Failure? Fort Belvoir, VA: Defense Technical Information Center, May 1991. http://dx.doi.org/10.21236/ada251855.

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Alt, Jonathan, Willie Brown, George Gallarno, and John Richards. Risk-based prioritization of operational condition assessments : stakeholder analysis and literature review. Engineer Research and Development Center (U.S.), March 2021. http://dx.doi.org/10.21079/11681/40162.

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The US Army Corps of Engineers (USACE) operates, maintains, and manages more than $232 billion worth of the Nation’s water resource infrastructure. Using the Operational Condition Assessment (OCA) system, the USACE allocates limited resources to assess conditions and maintain assets in efforts to minimize risks associated with asset performance degradation. Currently, OCAs are conducted on each component within a facility every 5 years, regardless of the component’s risk contribution. The analysis of risks associated with Flood Risk Management (FRM) facilities, such as dams, includes considering how the facility contributes to its associated FRM watershed system, understanding the consequences of degradation in the facility’s performance, and calculating the likelihood that the facility will perform as expected given the current OCA condition ratings of critical components. This research will develop a scalable methodology to model the probability of failure of components and systems that contribute to the performance of facilities in their respective FRM systems combined with consequences derived from hydrological models of the watershed to develop facility risk scores. This interim report documents the results of the first phase of this effort, stakeholder analysis and literature review, to identify candidate approaches to determine the probability of failure of a facility.
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Estache, Antonio, and Tomás Serebrisky. Updating Infrastructure Regulation for The 21st Century in Latin America and the Caribbean. Inter-American Development Bank, January 2020. http://dx.doi.org/10.18235/0002159.

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This paper argues that, while most countries in Latin America and the Caribbean have managed to significantly improve the short-term efficiency of their infrastructure services since the widespread liberalization of the 1990s, they have been slow to ensure a fair distribution of the gains. They have also been slow in making the investments needed to ensure the prospects of future generations, including by protecting the environment for the long term. The paper places at least part of the blame on regulatory failures. It also shows how past mistakes can be corrected by the significant sectoral transformations, driven by new technologies, now underway. Digitalization is altering the economic characteristics of infrastructure services. Resulting changes in governance and financing options demand adjustments to economic regulations, including by broadening the regulatory toolkit to integrate new insights offered by developments in behavioral economics.
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Wagner, Anna, Christopher Hiemstra, Glen Liston, Katrina Bennett, Dan Cooley, and Arthur Gelvin. Changes in climate and its effect on timing of snowmelt and intensity-duration-frequency curves. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41402.

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Snow is a critical water resource for much of the U.S. and failure to account for changes in climate could deleteriously impact military assets. In this study, we produced historical and future snow trends through modeling at three military sites (in Washington, Colorado, and North Dakota) and the Western U.S. For selected rivers, we performed seasonal trend analysis of discharge extremes. We calculated flood frequency curves and estimated the probability of occurrence of future annual maximum daily rainfall depths. Additionally, we generated intensity-duration-frequency curves (IDF) to find rainfall intensities at several return levels. Generally, our results showed a decreasing trend in historical and future snow duration, rain-on-snow events, and snowmelt runoff. This decreasing trend in snowpack could reduce water resources. A statistically significant increase in maximum streamflow for most rivers at the Washington and North Dakota sites occurred for several months of the year. In Colorado, only a few months indicated such an increase. Future IDF curves for Colorado and North Dakota indicated a slight increase in rainfall intensity whereas the Washington site had about a twofold increase. This increase in rainfall intensity could result in major flood events, demonstrating the importance of accounting for climate changes in infrastructure planning.
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