A Dynamic Bayesian Network Approach to Characterize Multi-Hazard Risks and Resilience in Interconnected Critical Infrastructures

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 110815 - 110815

Published: Jan. 1, 2025

Language: Английский

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Enhancing power system resilience to extreme weather events: A qualitative assessment of winter storm Uri

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 103, P. 104309 - 104309

Published: Feb. 2, 2024

In February 2021, Winter Storm Uri left 11 million people in Texas without power, caused widespread water outages, and inflicted billions of dollars damage. While the severity this event was primarily by electricity generator failures, it made worse decisions utilities state regulators before, during, after event. This study seeks to (1) evaluate procedures electric during Uri, (2) provide a set recommendations improve resilience energy systems preparation for future extreme weather events. Fourteen semi-structured interviews were conducted with across underwent hybrid inductive-deductive qualitative coding. The analysis identified issues present operations decision-making processes as well potential solutions five dimensions resilience. outlines help ensure that are better prepared respond disaster events minimize community impacts, such sectionalizing circuits load shed, collaborating neighboring share resources, expanding use social media customer outreach.

Language: Английский

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Unraveling fundamental properties of power system resilience curves using unsupervised machine learning

Energy and AI, Journal Year: 2024, Volume and Issue: 16, P. 100351 - 100351

Published: Feb. 18, 2024

Power system is vital to modern societies, while it susceptible hazard events. Thus, analyzing resilience characteristics of power important. The standard model infrastructure resilience, the triangle, has been primary way characterizing and quantifying in systems for more than two decades. However, theoretical provides a one-size-fits-all framework all specifies general curves (e.g., residual performance duration recovery). Little empirical work done delineate curve archetypes their fundamental properties based on observational data. Most existing studies examine analytical models constructed upon simulated performance. There dire dearth field, which hindered our ability fully understand predict systems. To address this gap, study examined hundred power-grid related outages three major extreme weather events United States. Through use unsupervised machine learning, we different archetypes, as well each archetype. results show grid curves, triangular trapezoidal curves. Triangular characterize behavior properties: 1. critical functionality threshold, 2. recovery rate, 3. pivot point. Trapezoidal explain sustained function loss constant rate. longer loss, slower rate recovery. findings provide novel perspectives enabling better understanding prediction

Language: Английский

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Disparities in disruptions to public drinking water services in Texas communities during Winter Storm Uri 2021

PLOS Water, Journal Year: 2023, Volume and Issue: 2(6), P. e0000137 - e0000137

Published: June 21, 2023

Winter Storm Uri of February 2021 left millions United States residents without access to reliable, clean domestic water during the COVID19 pandemic. In state Texas, over 17 million people served by public drinking systems were placed under boil advisories for periods ranging from one day more than month. We performed a geospatial analysis that combined advisory data Texas with demographic information 2010 Census understand affected and populations they served. also issued cross-sectional survey account people’s lived experiences. Geospatial shows duration depended partly on size system. Large, urban intermediate length (5–7 days) racially diverse communities moderate income. Small, mostly rural some longest (20 days or more). Many these disproportionately White lower income, but predominantly non-White, Hispanic, Latino communities. data, “first-generation” participants (whose parents not college-educated) likely be advisories, pointing disparate impacts socioeconomic group. The revealed large communication gaps between utilities individuals: half all respondents unsure confused about whether advisory. Our study reinforces need improve resilience in services large, diverse, small, provide clear efficient channel emergency communications service serve.

Language: Английский

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Building institutional trust during disasters: An organization-public relationship examination of public service organizations (PSOs)

International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: unknown, P. 105253 - 105253

Published: Jan. 1, 2025

Language: Английский

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Prevalence of cardiovascular disease risk factors associated with residential natural hazard risk

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 977, P. 179335 - 179335

Published: April 11, 2025

Language: Английский

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Measuring the resilience of mountain city ecological network: a methodological framework integrating real disaster shocks and simulated disturbance scenarios

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 384, P. 125573 - 125573

Published: April 29, 2025

Language: Английский

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Strengthening Individual Preparedness for Extreme Cold Weather Through Enhanced Messaging, Risk Perception, and Trust

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106164 - 106164

Published: Jan. 1, 2025

Language: Английский

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Looking beyond individual failures: A system-wide assessment of water infrastructure resilience to extreme events

Reliability Engineering & System Safety, Journal Year: 2023, Volume and Issue: 244, P. 109910 - 109910

Published: Dec. 24, 2023

Language: Английский

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A Stakeholder-Systems Analysis of Water Provision in Rural Alaska

ACS ES&T Water, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 11, 2024

People are paramount in the operations of water infrastructure systems. While such processes similar throughout most communities United States, including treatment and distribution, each community encounters localized challenges. In Yukon–Kuskokwim (YK) Delta Alaska, specifically, sector professionals (e.g., plant operators haulers) encounter unique extreme The harsh arctic weather makes road navigation dangerous for haulers, must contend with a precarious supply chain when ordering supplies maintenance. Such challenges can disrupt provision communities. this study, we analyze semistructured interviews 24 Alaska professionals, using qualitative content analysis semicognitive mapping. We built conceptual integration systems stakeholder theory to identify barriers leverage points improvement. examine three components process rural communities: treatment, hauled piped distribution. show that increase workforce retention, limit worker burnout, ensure reliable provision, practices training certification need become more localized. Moreover, working conditions operating environment around be central system considerations, especially hauling, where workers play critical role This reveals key conclusion underlies all our propositions: people point so doing, contribute literature public administration bureaucracy, sociotechnical systems, as applied generally, specifically.

Language: Английский

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