Author
Anika M. Bell
Bio: Anika M. Bell is an academic researcher from University of Victoria. The author has contributed to research in topics: Earthquake scenario & Resilience (network). The author has co-authored 1 publications.
Papers
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19 Nov 2020
TL;DR: In this article, the dependence of coastal communities on marine transportation can challenge a region's capability to withstand large disruptions, especially in regions susceptible to large natural hazards, such as hurricanes and floods.
Abstract: The dependence of coastal communities on marine transportation can challenge a region’s capability to withstand large disruptions, especially in regions susceptible to large natural hazards. Here, ...
4 citations
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TL;DR: In this article , the authors present a database with geographical and demographic information characterizing the impacts to road and maritime networks, and coastal communities, of a plausible magnitude M9.0 megathrust Cascadia Subduction Zone earthquake scenario near Vancouver Island in British Columbia, Canada.
1 citations
TL;DR: Wang et al. as discussed by the authors developed measures to enhance port resilience that can cope with risks and uncertainties, and proposed a port resilience assessment model using the Bayesian network, in which various resilience strategies are categorized into different metrics to assess resilience capabilities (i.e. readiness and response capacities).
1 citations
TL;DR: In this article , a simple analytical scheme and associated qualitative impact scales that capture the spatially varying effects of a regional disaster is proposed, which can be implemented with widely varying degrees of data availability, as demonstrated in two case applications.
Abstract: This paper proposes a simple analytical scheme and associated qualitative impact scales that capture the spatially varying effects of a regional disaster. Large-scale disasters that affect many towns and cities pose particular challenges for emergency response planning. For example, disruption to transportation systems can impede regional supply chains of critical goods, thereby exacerbating the impacts suffered locally in communities. Conventional metrics of disaster severity, such as number of casualties or intensity of ground shaking, do not adequately capture how community impacts and needs may vary across the affected region, and they do not typically consider regional transportation disruption. Using a series of impact scales, the approach in this paper captures essential attributes of three broad components related to community impacts from a regional disaster—local disaster impacts in a community, regional transportation disruption to the community, and the community’s coping capacity—and aggregates them to an overall metric of community impact. The approach can be implemented with widely varying degrees of data availability, as demonstrated in two case applications. Both cases involve an M9 Cascadia subduction zone earthquake affecting a broad region of coastal British Columbia, Canada. The first application illustrates how in a pre-event planning situation, modeled results can be used to anticipate which communities are at greatest risk, and to help prioritize mitigation and emergency response planning. The second case demonstrates how in the immediate aftermath of a disaster, the approach can be used with limited information to help prioritize response and recovery activities.
1 citations
TL;DR: In this paper , a catastrophe scenario for the Fraser River is developed on the British Columbian island of Vancouver, and the main outcomes of the scenario is the destruction of the Sand Heads Lighthouse and the buoys from the outer delta.