Effects of Nonstationarity of Extreme Wind Speeds and Ground Snow Loads in a Future Canadian Changing Climate

Li, Sihan; Irwin, Peter; Lounis, Z; Attar, Ahmed; Dale, Jan; Gibbons, Mike; Beaulieu, Sonia

doi:10.1061/(asce)nh.1527-6996.0000572

Cited by 8 publications

(1 citation statement)

References 42 publications

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“…In addition to accounting for sector interdependencies, regulators should incorporate multi-hazard-resistant designs ( 69 ) and codes and standards ( 70 ) that address vulnerability to cascading failures within and between sectors ( 71 )—especially under nonstationary climate conditions (i.e. extreme climatic events projected to change in the future) ( 72 )—into the design of infrastructure systems based on life cycle principles ( 73 ). Although progress has been made in the design and analysis of infrastructure based on overall performance under nonstationarity ( 14 , 74 ), significant gaps that create uncertainty and evolving risks remain (Table 3 ).…”

Section: Introductionmentioning

confidence: 99%

Equitable infrastructure: Achieving resilient systems and restorative justice through policy and research innovation

Giovannettone,

Macey,

AghaKouchak

et al. 2024

PNAS Nexus

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Recent major investments in infrastructure in the United State and globally present a crucial opportunity to embed equity within the heart of resilient infrastructure decision-making. Yet there is a notable absence of frameworks within the engineering and scientific fields for integrating equity into planning, design, and maintenance of infrastructure. Additionally, whole-of-government approaches to infrastructure, including the Justice40 Initiative, mimic elements of process management that support exploitative rather than exploratory innovation. These and other policies risk creating innovation traps that limit analytical and engineering advances necessary to prioritize equity in decision-making, identify and disrupt mechanisms that cause or contribute to inequities, and remediate historic harms. Here, we propose a three-tiered framework toward equitable and resilient infrastructure through restorative justice, incremental policy innovation, and exploratory research innovation. This framework aims to ensure equitable access and benefits of infrastructure, minimize risk disparities, and embrace restorative justice to repair historical and systemic inequities. We outline incremental policy innovation and exploratory research action items to address and mitigate risk disparities, emphasizing the need for community-engaged research and the development of equity metrics. Among other action items, we recommend a certification system – referred to as Social, Environmental, and Economic Development (SEED) – to train infrastructure engineers and planners and ensure attentiveness to gaps that exist within and dynamically interact across each tier of the proposed framework. Through the framework and proposed actions, we advocate for a transformative vision for equitable infrastructure that emphasizes the interconnectedness of social, environmental, and technical dimensions in infrastructure planning, design, and maintenance.

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Section: Introductionmentioning

confidence: 99%

Equitable infrastructure: Achieving resilient systems and restorative justice through policy and research innovation

Giovannettone,

Macey,

AghaKouchak

et al. 2024

PNAS Nexus

Self Cite

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Probable maximum tropical cyclone parameters for east and west coast of India

Kumar²

2023

Nat Hazards

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Storm surge simulation models require certain parameters for evaluating the worst possible event that could occur at a site with respect to a certain return period. The most signi cant probable maximum tropical cyclone parameters are pressure de ciency at the centre (ΔP) and maximum wind speed (V max ) during the cyclone. In this study the probable maximum tropical cyclone parameters that would yield the maximum probable storm surge along the Indian coasts of Arabian Sea and Bay of Bengal are estimated. Datasets are created based on various existing data archives for each basin. The datasets are subjected to extreme value analysis for determining the ΔP and V max parameters. The data is tted to various probability distributions (Gumbel, Frechet, Weibull and Log-normal) whose parameters (scale, shape, and location parameters) are estimated using graphical (least square t) and numerical (order statistics approach) methods. A mean recurrence interval of 1,000 and 10,000 years is considered for strategic structures. The best t distribution and its parameters are obtained based on goodness of t criteria. The resulting ΔP and V max is compared with theoretical maximum cyclone parameter values of each basin and revised till an optimal set of values are reached. The analysis shows that ΔP and V max values for Arabian Sea and Bay of Bengal are best represented by Weibull distribution. The estimated parameters are useful input to a storm surge model to determine the design basis ood level for the strategic coastal sites.

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Impact of climate change on wind energy across North America under climate change scenario RCP8.5

2023

Atmospheric Research

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Effects of Nonstationarity of Extreme Wind Speeds and Ground Snow Loads in a Future Canadian Changing Climate

Cited by 8 publications

References 42 publications

Equitable infrastructure: Achieving resilient systems and restorative justice through policy and research innovation

Equitable infrastructure: Achieving resilient systems and restorative justice through policy and research innovation

Probable maximum tropical cyclone parameters for east and west coast of India

Impact of climate change on wind energy across North America under climate change scenario RCP8.5

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